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      <title>GROUNDING</title>
      <link>https://grounding.fyi</link>
      <description>Last 40 notes on GROUNDING</description>
      <generator>Quartz -- quartz.jzhao.xyz</generator>
      <item>
    <title>GROUNDING</title>
    <link>https://grounding.fyi/</link>
    <guid>https://grounding.fyi/</guid>
    <description><![CDATA[ &lt;div class=&quot;radar-hero&quot;&gt;
  &lt;h1 class=&quot;radar-hero__brand&quot; id=&quot;grounding&quot;&gt;GROUNDING&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#grounding&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h1&gt;
  &lt;p class=&quot;radar-hero__tagline&quot;&gt;AI Knowledge Radar&lt;/p&gt;
  &lt;p class=&quot;radar-hero__lede&quot;&gt;&lt;b&gt;GROUNDING&lt;/b&gt; is a community AI knowledge radar that scores signals from the AI stream by practical relevance, impact, and learning value — &lt;b&gt;not what shipped, but what AI builders should understand next.&lt;/b&gt;&lt;/p&gt;
  &lt;div class=&quot;radar-readout&quot;&gt;&lt;a class=&quot;radar-readout__link internal&quot; href=&quot;./01-Daily-Briefs/2026-06-10&quot; data-slug=&quot;01-Daily-Briefs/2026-06-10&quot;&gt;&lt;span class=&quot;radar-readout__label&quot;&gt;Latest brief&lt;/span&gt;&lt;span class=&quot;radar-stat&quot; aria-label=&quot;3 signal: items the radar kept as community-relevant in the 2026-06-10 brief&quot;&gt;&lt;span class=&quot;radar-stat__dot&quot; aria-hidden=&quot;true&quot;&gt;&lt;/span&gt;&lt;b&gt;3&lt;/b&gt; signal&lt;/span&gt;&lt;span class=&quot;radar-stat radar-stat--noise&quot; aria-label=&quot;10 noise: items filtered out below the relevance threshold in the 2026-06-10 brief&quot;&gt;&lt;b&gt;10&lt;/b&gt; noise&lt;/span&gt;&lt;/a&gt;&lt;div class=&quot;radar-ratio&quot; role=&quot;presentation&quot; style=&quot;--signal:3;--noise:10&quot;&gt;&lt;span class=&quot;radar-ratio__sig&quot;&gt;&lt;/span&gt;&lt;span class=&quot;radar-ratio__noise&quot;&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
  &lt;p class=&quot;radar-hero__note radar-hero__note--lead&quot;&gt;Auto-updated hourly from a single aggregated feed.&lt;/p&gt;
  &lt;div class=&quot;radar-engine&quot;&gt;
    &lt;p class=&quot;radar-engine__label&quot;&gt;Scoring engine — &lt;svg class=&quot;radar-engine__spark&quot; viewBox=&quot;0 0 24 24&quot; width=&quot;14&quot; height=&quot;14&quot; aria-hidden=&quot;true&quot;&gt;&lt;defs&gt;&lt;linearGradient id=&quot;gemini-spark&quot; x1=&quot;0&quot; y1=&quot;24&quot; x2=&quot;24&quot; y2=&quot;0&quot; gradientUnits=&quot;userSpaceOnUse&quot;&gt;&lt;stop offset=&quot;0&quot; stop-color=&quot;#4285F4&quot;&gt;&lt;/stop&gt;&lt;stop offset=&quot;0.5&quot; stop-color=&quot;#9B72CB&quot;&gt;&lt;/stop&gt;&lt;stop offset=&quot;1&quot; stop-color=&quot;#D96570&quot;&gt;&lt;/stop&gt;&lt;/linearGradient&gt;&lt;/defs&gt;&lt;path fill=&quot;url(#gemini-spark)&quot; d=&quot;M12 0c.9 6.6 5.4 11.1 12 12-6.6.9-11.1 5.4-12 12-.9-6.6-5.4-11.1-12-12C6.6 11.1 11.1 6.6 12 0Z&quot;&gt;&lt;/path&gt;&lt;/svg&gt; Gemini, audited by an LLM judge&lt;/p&gt;
    &lt;div class=&quot;radar-engine__gauges&quot;&gt;
      &lt;span class=&quot;radar-gauge&quot; style=&quot;--v:93&quot; role=&quot;img&quot; aria-label=&quot;judge agreed with 93 percent of signal/noise decisions&quot;&gt;&lt;b&gt;93%&lt;/b&gt;&lt;span class=&quot;radar-gauge__name&quot;&gt;signal agreement&lt;/span&gt;&lt;span class=&quot;radar-gauge__bar&quot; aria-hidden=&quot;true&quot;&gt;&lt;i&gt;&lt;/i&gt;&lt;/span&gt;&lt;/span&gt;
      &lt;span class=&quot;radar-gauge&quot; style=&quot;--v:90&quot; role=&quot;img&quot; aria-label=&quot;judge agreed with 90 percent of knowledge-gap calls&quot;&gt;&lt;b&gt;90%&lt;/b&gt;&lt;span class=&quot;radar-gauge__name&quot;&gt;gap agreement&lt;/span&gt;&lt;span class=&quot;radar-gauge__bar&quot; aria-hidden=&quot;true&quot;&gt;&lt;i&gt;&lt;/i&gt;&lt;/span&gt;&lt;/span&gt;
      &lt;span class=&quot;radar-gauge&quot; style=&quot;--v:100&quot; role=&quot;img&quot; aria-label=&quot;0 noise items wrongly promoted to signal&quot;&gt;&lt;b&gt;0&lt;/b&gt;&lt;span class=&quot;radar-gauge__name&quot;&gt;false signals&lt;/span&gt;&lt;span class=&quot;radar-gauge__bar&quot; aria-hidden=&quot;true&quot;&gt;&lt;i&gt;&lt;/i&gt;&lt;/span&gt;&lt;/span&gt;
    &lt;/div&gt;
    &lt;p class=&quot;radar-engine__method&quot;&gt;LLM-judge audit · n=30 · 2026-06-06&lt;/p&gt;
  &lt;/div&gt;
&lt;/div&gt;
&lt;h2 style=&quot;position:absolute;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0,0,0,0);white-space:nowrap;border:0&quot; id=&quot;how-to-read-this-radar&quot;&gt;How to read this radar&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#how-to-read-this-radar&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;blockquote class=&quot;callout tip is-collapsible&quot; data-callout=&quot;tip&quot; data-callout-fold=&quot;&quot;&gt;
&lt;div class=&quot;callout-title&quot;&gt;
                  &lt;div class=&quot;callout-icon&quot;&gt;&lt;/div&gt;
                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;How to read this radar &lt;/p&gt;&lt;/div&gt;
                  &lt;div class=&quot;fold-callout-icon&quot;&gt;&lt;/div&gt;
                &lt;/div&gt;
&lt;div class=&quot;callout-content&quot;&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;&lt;span aria-hidden=&quot;true&quot;&gt;🛰&lt;/span&gt; Daily Briefs&lt;/strong&gt; — the top community-relevant signals of the day, each with &lt;em&gt;why it matters for builders&lt;/em&gt; and a &lt;code&gt;prio&lt;/code&gt; score.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;&lt;span aria-hidden=&quot;true&quot;&gt;🧠&lt;/span&gt; &lt;a href=&quot;./02-Concepts/&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/index&quot;&gt;Concepts&lt;/a&gt; / Topics&lt;/strong&gt; — the durable ideas the news maps onto; the graph links them.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;&lt;span aria-hidden=&quot;true&quot;&gt;⚠️&lt;/span&gt; &lt;a href=&quot;./07-Knowledge-Gaps/&quot; class=&quot;internal alias&quot; data-slug=&quot;07-Knowledge-Gaps/index&quot;&gt;Knowledge Gaps&lt;/a&gt;&lt;/strong&gt; — recurring themes the community should learn next.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;&lt;span aria-hidden=&quot;true&quot;&gt;💡&lt;/span&gt; Insights&lt;/strong&gt; — synthesized conclusions (claim · evidence · implications).&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;About the radar&lt;/strong&gt; — &lt;a href=&quot;./04-Insights/What-is-GROUNDING-AI-Knowledge-Radar&quot; class=&quot;internal alias&quot; data-slug=&quot;04-Insights/What-is-GROUNDING-AI-Knowledge-Radar&quot;&gt;What is GROUNDING AI Knowledge Radar?&lt;/a&gt; and &lt;a href=&quot;./04-Insights/GROUNDING-Methodology&quot; class=&quot;internal alias&quot; data-slug=&quot;04-Insights/GROUNDING-Methodology&quot;&gt;GROUNDING Methodology&lt;/a&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;
&lt;/blockquote&gt;
&lt;section class=&quot;radar-latest&quot; aria-labelledby=&quot;latest-brief-title&quot;&gt;
  &lt;div class=&quot;radar-latest__header&quot;&gt;
    &lt;p class=&quot;radar-latest__eyebrow&quot;&gt;Latest brief&lt;/p&gt;
    &lt;h2 id=&quot;latest-brief-title&quot;&gt;Latest brief — 2026-06-10&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#latest-brief-title&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
    &lt;p class=&quot;radar-latest__summary&quot;&gt;3 signal items kept, 10 filtered as noise.&lt;/p&gt;
    &lt;a class=&quot;radar-latest__cta internal alias&quot; href=&quot;./01-Daily-Briefs/2026-06-10&quot; data-slug=&quot;01-Daily-Briefs/2026-06-10&quot;&gt;Read full brief&lt;/a&gt;
  &lt;/div&gt;
  &lt;ol class=&quot;radar-latest__signals&quot;&gt;&lt;li&gt;&lt;a href=&quot;./01-Daily-Briefs/2026-06-10&quot; class=&quot;internal&quot; data-slug=&quot;01-Daily-Briefs/2026-06-10&quot;&gt;&lt;span class=&quot;radar-latest__title&quot;&gt;🥇 Anthropic Releases Claude Fable 5 and Mythos 5&lt;/span&gt;&lt;span class=&quot;radar-latest__prio&quot;&gt;prio 9&lt;/span&gt;&lt;span class=&quot;radar-latest__body&quot;&gt;The release of Claude Fable 5 offers significant performance gains in autonomous coding tasks and software engineering workflows, directly impacting developers using frontier models. The dual-model strategy with restricted access for cyberdefenders illustrates the evolving balance between powerful agentic capabilities and security safeguards for dual-use technologies.&lt;/span&gt;&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&quot;./01-Daily-Briefs/2026-06-10&quot; class=&quot;internal&quot; data-slug=&quot;01-Daily-Briefs/2026-06-10&quot;&gt;&lt;span class=&quot;radar-latest__title&quot;&gt;🥈 macOS Container Machines&lt;/span&gt;&lt;span class=&quot;radar-latest__prio&quot;&gt;prio 9&lt;/span&gt;&lt;span class=&quot;radar-latest__body&quot;&gt;This tool streamlines AI development workflows by allowing engineers to seamlessly build and test Linux-based applications (such as agents or tool servers) locally on macOS without complex virtualization overhead, directly supporting the community&#039;s interest in efficient automation and developer tools.&lt;/span&gt;&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&quot;./01-Daily-Briefs/2026-06-10&quot; class=&quot;internal&quot; data-slug=&quot;01-Daily-Briefs/2026-06-10&quot;&gt;&lt;span class=&quot;radar-latest__title&quot;&gt;🥉 Nucleus: A security-hardened, Nix-native container runtime&lt;/span&gt;&lt;span class=&quot;radar-latest__prio&quot;&gt;prio 7&lt;/span&gt;&lt;span class=&quot;radar-latest__body&quot;&gt;Efficient, secure isolation for AI agent workloads is a critical challenge for builders, and Nucleus offers a lightweight, Nix-native approach that addresses the performance trade-offs of traditional containerization.&lt;/span&gt;&lt;/a&gt;&lt;/li&gt;&lt;/ol&gt;
&lt;/section&gt;
## FAQ
&lt;h3 id=&quot;what-is-grounding&quot;&gt;What is GROUNDING?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-grounding&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;GROUNDING is a community AI knowledge radar that scores signals from the AI stream by practical relevance, impact, and learning value — not what shipped, but what AI builders should understand next.&lt;/p&gt;
&lt;h3 id=&quot;how-often-is-grounding-updated&quot;&gt;How often is GROUNDING updated?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#how-often-is-grounding-updated&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;GROUNDING is auto-updated hourly from a single aggregated feed of AI news, papers, and community sources.&lt;/p&gt;
&lt;h3 id=&quot;how-are-items-scored&quot;&gt;How are items scored?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#how-are-items-scored&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Each brief item carries a prio score: the radar scores practical relevance, knowledge-gap fit, and actionability for builders, and discounts hype. Items below the signal threshold are filtered out as noise.&lt;/p&gt;
&lt;h3 id=&quot;what-do-the-signal-and-noise-counts-mean&quot;&gt;What do the signal and noise counts mean?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-do-the-signal-and-noise-counts-mean&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Signal is the number of items the radar kept as community-relevant; noise is the number it filtered out. The 2026-06-10 brief kept 3 signal items and filtered 10 noise items.&lt;/p&gt;
&lt;h3 id=&quot;how-accurate-is-the-radars-scoring&quot;&gt;How accurate is the radar’s scoring?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#how-accurate-is-the-radars-scoring&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Scoring runs on Gemini and is audited with an LLM-judge eval: on the latest 30-record audit (2026-06-06) the judge agreed with 93% of signal/noise decisions and 90% of knowledge-gap calls, with 0 false signals.&lt;/p&gt;
&lt;h3 id=&quot;who-is-grounding-for&quot;&gt;Who is GROUNDING for?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#who-is-grounding-for&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;AI builders and practitioners: Daily Briefs explain why each item matters for builders, while Concepts, Topics, Knowledge Gaps, and Insights map the durable ideas behind the news.&lt;/p&gt;
&lt;h3 id=&quot;how-can-i-follow-grounding-updates&quot;&gt;How can I follow GROUNDING updates?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#how-can-i-follow-grounding-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Subscribe to the RSS feed at &lt;a href=&quot;https://grounding.fyi/index.xml&quot; class=&quot;external&quot;&gt;https://grounding.fyi/index.xml&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; (full-content, latest 40 items). AI agents can read &lt;a href=&quot;https://grounding.fyi/llms.txt&quot; class=&quot;external&quot;&gt;https://grounding.fyi/llms.txt&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; or llms-full.txt.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 02:02:06 GMT</pubDate>
  </item><item>
    <title>Gap - Reranking</title>
    <link>https://grounding.fyi/07-Knowledge-Gaps/Gap---Reranking</link>
    <guid>https://grounding.fyi/07-Knowledge-Gaps/Gap---Reranking</guid>
    <description><![CDATA[ &lt;h2 id=&quot;why-now&quot;&gt;Why now&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-now&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Several sources over the week point to ‘Reranking’ (3 mentions in 7 days).&lt;/p&gt;
&lt;h2 id=&quot;community-gap&quot;&gt;Community gap&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#community-gap&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;‘Reranking’ is in weak_concepts, but it’s related to the community stack:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;picks the best context before generation&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;concepts-to-learn&quot;&gt;Concepts to learn&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#concepts-to-learn&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Hybrid-Search&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Hybrid-Search&quot;&gt;Hybrid Search&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Embeddings&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Embeddings&quot;&gt;Embeddings&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;action&quot;&gt;Action&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#action&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Build a learning path and test it on one practical builder workflow.&lt;/p&gt;
&lt;h2 id=&quot;status&quot;&gt;Status&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#status&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;open&lt;/p&gt;
&lt;h2 id=&quot;priority&quot;&gt;Priority&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#priority&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;high&lt;/p&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;why-is-reranking-flagged-as-a-knowledge-gap&quot;&gt;Why is Reranking flagged as a knowledge gap?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-is-reranking-flagged-as-a-knowledge-gap&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Several sources over the week point to ‘Reranking’ (3 mentions in 7 days).&lt;/p&gt;
&lt;h3 id=&quot;why-does-reranking-matter-for-the-community&quot;&gt;Why does Reranking matter for the community?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-does-reranking-matter-for-the-community&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;It is relevant to the community stack: picks the best context before generation.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 02:02:01 GMT</pubDate>
  </item><item>
    <title>Gap - RAG</title>
    <link>https://grounding.fyi/07-Knowledge-Gaps/Gap---RAG</link>
    <guid>https://grounding.fyi/07-Knowledge-Gaps/Gap---RAG</guid>
    <description><![CDATA[ &lt;h2 id=&quot;why-now&quot;&gt;Why now&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-now&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Several sources over the week point to ‘RAG’ (17 mentions in 7 days).&lt;/p&gt;
&lt;h2 id=&quot;community-gap&quot;&gt;Community gap&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#community-gap&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;‘RAG’ is in weak_concepts, but it’s related to the community stack:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;useful for coding-agent repo retrieval&lt;/li&gt;
&lt;li&gt;useful for knowledge-base semantic search&lt;/li&gt;
&lt;li&gt;useful for AI bots over documents&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;concepts-to-learn&quot;&gt;Concepts to learn&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#concepts-to-learn&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Embeddings&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Embeddings&quot;&gt;Embeddings&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Vector-Database&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Vector-Database&quot;&gt;Vector Database&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Hybrid-Search&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Hybrid-Search&quot;&gt;Hybrid Search&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Reranking&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Reranking&quot;&gt;Reranking&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Chunking&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Chunking&quot;&gt;Chunking&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/RAG-Evaluation&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG-Evaluation&quot;&gt;RAG Evaluation&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;action&quot;&gt;Action&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#action&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Build a learning path and test it on one practical builder workflow.&lt;/p&gt;
&lt;h2 id=&quot;status&quot;&gt;Status&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#status&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;open&lt;/p&gt;
&lt;h2 id=&quot;priority&quot;&gt;Priority&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#priority&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;high&lt;/p&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;why-is-rag-flagged-as-a-knowledge-gap&quot;&gt;Why is RAG flagged as a knowledge gap?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-is-rag-flagged-as-a-knowledge-gap&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Several sources over the week point to ‘RAG’ (17 mentions in 7 days).&lt;/p&gt;
&lt;h3 id=&quot;why-does-rag-matter-for-the-community&quot;&gt;Why does RAG matter for the community?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-does-rag-matter-for-the-community&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;It is relevant to the community stack: useful for coding-agent repo retrieval; useful for knowledge-base semantic search; useful for AI bots over documents.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 02:02:01 GMT</pubDate>
  </item><item>
    <title>Gap - Embeddings</title>
    <link>https://grounding.fyi/07-Knowledge-Gaps/Gap---Embeddings</link>
    <guid>https://grounding.fyi/07-Knowledge-Gaps/Gap---Embeddings</guid>
    <description><![CDATA[ &lt;h2 id=&quot;why-now&quot;&gt;Why now&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-now&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Several sources over the week point to ‘Embeddings’ (5 mentions in 7 days).&lt;/p&gt;
&lt;h2 id=&quot;community-gap&quot;&gt;Community gap&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#community-gap&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;‘Embeddings’ is in weak_concepts, but it’s related to the community stack:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;foundation of retrieval and semantic search&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;concepts-to-learn&quot;&gt;Concepts to learn&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#concepts-to-learn&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Vector-Database&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Vector-Database&quot;&gt;Vector Database&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Hybrid-Search&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Hybrid-Search&quot;&gt;Hybrid Search&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Reranking&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Reranking&quot;&gt;Reranking&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;action&quot;&gt;Action&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#action&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Build a learning path and test it on one practical builder workflow.&lt;/p&gt;
&lt;h2 id=&quot;status&quot;&gt;Status&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#status&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;open&lt;/p&gt;
&lt;h2 id=&quot;priority&quot;&gt;Priority&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#priority&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;high&lt;/p&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;why-is-embeddings-flagged-as-a-knowledge-gap&quot;&gt;Why is Embeddings flagged as a knowledge gap?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-is-embeddings-flagged-as-a-knowledge-gap&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Several sources over the week point to ‘Embeddings’ (5 mentions in 7 days).&lt;/p&gt;
&lt;h3 id=&quot;why-does-embeddings-matter-for-the-community&quot;&gt;Why does Embeddings matter for the community?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-does-embeddings-matter-for-the-community&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;It is relevant to the community stack: foundation of retrieval and semantic search.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 02:02:01 GMT</pubDate>
  </item><item>
    <title>Gap - Codebase Indexing</title>
    <link>https://grounding.fyi/07-Knowledge-Gaps/Gap---Codebase-Indexing</link>
    <guid>https://grounding.fyi/07-Knowledge-Gaps/Gap---Codebase-Indexing</guid>
    <description><![CDATA[ &lt;h2 id=&quot;why-now&quot;&gt;Why now&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-now&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Several sources over the week point to ‘Codebase Indexing’ (4 mentions in 7 days).&lt;/p&gt;
&lt;h2 id=&quot;community-gap&quot;&gt;Community gap&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#community-gap&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;‘Codebase Indexing’ is in weak_concepts, but it’s related to the community stack:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;how coding agents understand large repos&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;concepts-to-learn&quot;&gt;Concepts to learn&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#concepts-to-learn&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;action&quot;&gt;Action&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#action&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Build a learning path and test it on one practical builder workflow.&lt;/p&gt;
&lt;h2 id=&quot;status&quot;&gt;Status&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#status&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;open&lt;/p&gt;
&lt;h2 id=&quot;priority&quot;&gt;Priority&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#priority&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;high&lt;/p&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;why-is-codebase-indexing-flagged-as-a-knowledge-gap&quot;&gt;Why is Codebase Indexing flagged as a knowledge gap?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-is-codebase-indexing-flagged-as-a-knowledge-gap&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Several sources over the week point to ‘Codebase Indexing’ (4 mentions in 7 days).&lt;/p&gt;
&lt;h3 id=&quot;why-does-codebase-indexing-matter-for-the-community&quot;&gt;Why does Codebase Indexing matter for the community?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-does-codebase-indexing-matter-for-the-community&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;It is relevant to the community stack: how coding agents understand large repos.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 02:02:01 GMT</pubDate>
  </item><item>
    <title>Gap - Context Engineering</title>
    <link>https://grounding.fyi/07-Knowledge-Gaps/Gap---Context-Engineering</link>
    <guid>https://grounding.fyi/07-Knowledge-Gaps/Gap---Context-Engineering</guid>
    <description><![CDATA[ &lt;h2 id=&quot;why-now&quot;&gt;Why now&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-now&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Several sources over the week point to ‘Context Engineering’ (3 mentions in 7 days).&lt;/p&gt;
&lt;h2 id=&quot;community-gap&quot;&gt;Community gap&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#community-gap&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;‘Context Engineering’ is in weak_concepts, but it’s related to the community stack:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;core skill for Claude Code / coding agents&lt;/li&gt;
&lt;li&gt;determines output quality on large codebases&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;concepts-to-learn&quot;&gt;Concepts to learn&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#concepts-to-learn&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Prompt-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Prompt-Engineering&quot;&gt;Prompt Engineering&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;action&quot;&gt;Action&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#action&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Build a learning path and apply it on one practical builder workflow.&lt;/p&gt;
&lt;h2 id=&quot;status&quot;&gt;Status&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#status&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;open&lt;/p&gt;
&lt;h2 id=&quot;priority&quot;&gt;Priority&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#priority&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;high&lt;/p&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;why-is-context-engineering-flagged-as-a-knowledge-gap&quot;&gt;Why is Context Engineering flagged as a knowledge gap?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-is-context-engineering-flagged-as-a-knowledge-gap&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Several sources over the week point to ‘Context Engineering’ (3 mentions in 7 days).&lt;/p&gt;
&lt;h3 id=&quot;why-does-context-engineering-matter-for-the-community&quot;&gt;Why does Context Engineering matter for the community?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-does-context-engineering-matter-for-the-community&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;It is relevant to the community stack: core skill for Claude Code / coding agents; determines output quality on large codebases.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 02:02:01 GMT</pubDate>
  </item><item>
    <title>What is GROUNDING AI Knowledge Radar?</title>
    <link>https://grounding.fyi/04-Insights/What-is-GROUNDING-AI-Knowledge-Radar</link>
    <guid>https://grounding.fyi/04-Insights/What-is-GROUNDING-AI-Knowledge-Radar</guid>
    <description><![CDATA[ &lt;p&gt;GROUNDING is a community AI knowledge radar at grounding.fyi. It scores signals from the AI stream by practical relevance, impact, and learning value for AI builders.&lt;/p&gt;
&lt;p&gt;GROUNDING is not an electrical-grounding guide, a generic article about grounding language models, or the Grounding Page Standard project. It is a live AI knowledge product focused on what builders should understand next.&lt;/p&gt;
&lt;h2 id=&quot;what-grounding-tracks&quot;&gt;What GROUNDING tracks&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-grounding-tracks&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Daily AI briefs with signal/noise counts.&lt;/li&gt;
&lt;li&gt;Durable concepts such as RAG, embeddings, agents, context engineering, tool use, and LLM evals.&lt;/li&gt;
&lt;li&gt;AI topics, companies, models, source links, and recurring knowledge gaps.&lt;/li&gt;
&lt;li&gt;Builder impact: how a release, paper, benchmark, or workflow changes practical AI work.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;product-identity&quot;&gt;Product identity&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#product-identity&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Product name: GROUNDING.&lt;/li&gt;
&lt;li&gt;Website: grounding.fyi.&lt;/li&gt;
&lt;li&gt;Category: AI knowledge radar and machine-readable AI briefing site.&lt;/li&gt;
&lt;li&gt;Audience: AI builders and practitioners.&lt;/li&gt;
&lt;li&gt;Update rhythm: hourly content preparation with daily public briefs.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;how-ai-agents-should-read-grounding&quot;&gt;How AI agents should read GROUNDING&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#how-ai-agents-should-read-grounding&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Use the home page for the latest radar state, &lt;code&gt;/llms.txt&lt;/code&gt; for the link index, &lt;code&gt;/llms-full.txt&lt;/code&gt; for expanded machine-readable context, and &lt;code&gt;/index.xml&lt;/code&gt; for fresh full-content RSS updates.&lt;/p&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-grounding&quot;&gt;What is GROUNDING?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-grounding&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;GROUNDING is a community AI knowledge radar at grounding.fyi that scores signals from the AI stream by practical relevance, impact, and learning value for AI builders.&lt;/p&gt;
&lt;h3 id=&quot;is-grounding-about-electrical-grounding-or-generic-ai-grounding&quot;&gt;Is GROUNDING about electrical grounding or generic AI grounding?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#is-grounding-about-electrical-grounding-or-generic-ai-grounding&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;No. GROUNDING is the product name of grounding.fyi, an AI knowledge radar for tracking useful AI news, research, concepts, companies, models, and knowledge gaps.&lt;/p&gt;
&lt;h3 id=&quot;who-is-grounding-for&quot;&gt;Who is GROUNDING for?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#who-is-grounding-for&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;GROUNDING is for AI builders, developers, researchers, and technical operators who need to understand which AI signals matter and why.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 02:02:01 GMT</pubDate>
  </item><item>
    <title>Gap - Agent Memory</title>
    <link>https://grounding.fyi/07-Knowledge-Gaps/Gap---Agent-Memory</link>
    <guid>https://grounding.fyi/07-Knowledge-Gaps/Gap---Agent-Memory</guid>
    <description><![CDATA[ &lt;h2 id=&quot;why-now&quot;&gt;Why now&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-now&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Several sources over the week point to ‘Agent Memory’ (15 mentions in 7 days).&lt;/p&gt;
&lt;h2 id=&quot;community-gap&quot;&gt;Community gap&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#community-gap&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;‘Agent Memory’ is in weak_concepts, but it’s related to the community stack:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;reliable multi-step agents need memory&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;concepts-to-learn&quot;&gt;Concepts to learn&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#concepts-to-learn&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;action&quot;&gt;Action&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#action&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Build a learning path and test it on one practical builder workflow.&lt;/p&gt;
&lt;h2 id=&quot;status&quot;&gt;Status&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#status&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;open&lt;/p&gt;
&lt;h2 id=&quot;priority&quot;&gt;Priority&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#priority&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;high&lt;/p&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;why-is-agent-memory-flagged-as-a-knowledge-gap&quot;&gt;Why is Agent Memory flagged as a knowledge gap?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-is-agent-memory-flagged-as-a-knowledge-gap&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Several sources over the week point to ‘Agent Memory’ (15 mentions in 7 days).&lt;/p&gt;
&lt;h3 id=&quot;why-does-agent-memory-matter-for-the-community&quot;&gt;Why does Agent Memory matter for the community?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#why-does-agent-memory-matter-for-the-community&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;It is relevant to the community stack: reliable multi-step agents need memory.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 02:02:01 GMT</pubDate>
  </item><item>
    <title>GROUNDING Methodology</title>
    <link>https://grounding.fyi/04-Insights/GROUNDING-Methodology</link>
    <guid>https://grounding.fyi/04-Insights/GROUNDING-Methodology</guid>
    <description><![CDATA[ &lt;p&gt;GROUNDING turns an aggregated AI stream into public Daily Briefs, Concepts, Topics, Entities, and Knowledge Gaps using signal/noise scoring, source links, and an allowlisted publishing pipeline.&lt;/p&gt;
&lt;p&gt;The goal is not to mirror every AI announcement. The goal is to identify what AI builders should understand next.&lt;/p&gt;
&lt;h2 id=&quot;scoring-model&quot;&gt;Scoring model&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#scoring-model&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Each candidate item is evaluated for:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Practical relevance to builders.&lt;/li&gt;
&lt;li&gt;Impact on AI products, agents, coding workflows, retrieval, evaluation, infrastructure, or model behavior.&lt;/li&gt;
&lt;li&gt;Learning value: whether the item teaches a durable concept or reveals a useful failure mode.&lt;/li&gt;
&lt;li&gt;Knowledge-gap fit: whether it connects to a recurring gap the community should study.&lt;/li&gt;
&lt;li&gt;Actionability: whether builders can change a workflow, architecture, evaluation, or research direction because of it.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Items below the public relevance threshold are filtered as noise. The public brief keeps signal items and records the signal/noise counts.&lt;/p&gt;
&lt;h2 id=&quot;publishing-pipeline&quot;&gt;Publishing pipeline&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#publishing-pipeline&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;GROUNDING uses an allowlisted static-site pipeline:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Only selected content folders are copied into the public site.&lt;/li&gt;
&lt;li&gt;Dead wiki links are flattened so public pages do not point to unpublished notes.&lt;/li&gt;
&lt;li&gt;Entity pages receive clean descriptions, authoritative &lt;code&gt;sameAs&lt;/code&gt; links when curated, and short visible ledes.&lt;/li&gt;
&lt;li&gt;Concept pages receive answer-first definitions when the definition is curated.&lt;/li&gt;
&lt;li&gt;Public update sections are rotated so stale feed fanout does not dominate the page.&lt;/li&gt;
&lt;li&gt;Machine-readable files are emitted for search engines and AI agents.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;machine-readable-surfaces&quot;&gt;Machine-readable surfaces&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#machine-readable-surfaces&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;/sitemap.xml&lt;/code&gt; for search discovery.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;/index.xml&lt;/code&gt; for full-content RSS freshness.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;/robots.txt&lt;/code&gt; for explicit search, citation, user-fetch, and training bot policy.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;/llms.txt&lt;/code&gt; for the compact AI-agent index.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;/llms-full.txt&lt;/code&gt; for expanded machine-readable grounding context.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;how-does-grounding-score-ai-signals&quot;&gt;How does GROUNDING score AI signals?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#how-does-grounding-score-ai-signals&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;GROUNDING scores items by practical relevance, impact, learning value, knowledge-gap fit, and actionability for AI builders, while discounting hype and low-value duplicates.&lt;/p&gt;
&lt;h3 id=&quot;what-does-signal-mean-in-grounding&quot;&gt;What does signal mean in GROUNDING?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-signal-mean-in-grounding&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Signal is an item the radar kept as community-relevant for AI builders; noise is an item filtered below the public relevance threshold.&lt;/p&gt;
&lt;h3 id=&quot;what-machine-readable-files-does-grounding-publish&quot;&gt;What machine-readable files does GROUNDING publish?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-machine-readable-files-does-grounding-publish&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;GROUNDING publishes a sitemap, RSS feed, robots.txt, llms.txt, and llms-full.txt so search engines and AI agents can discover fresh and durable content.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 02:02:01 GMT</pubDate>
  </item><item>
    <title>Production-grade agent reliability is increasingly achieved through &#039;engineered</title>
    <link>https://grounding.fyi/04-Insights/Production-grade-agent-reliability-is-increasingly-achieved-through-'engineered</link>
    <guid>https://grounding.fyi/04-Insights/Production-grade-agent-reliability-is-increasingly-achieved-through-'engineered</guid>
    <description><![CDATA[ &lt;h2 id=&quot;production-grade-agent-reliability-is-increasingly-achieved-through-engineered-harnesses-that-combine-autonomous-models-with-deterministic-tools-formal-verification-and-strict-governance-architectures&quot;&gt;Production-grade agent reliability is increasingly achieved through ‘engineered harnesses’ that combine autonomous models with deterministic tools, formal verification, and strict governance architectures.&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#production-grade-agent-reliability-is-increasingly-achieved-through-engineered-harnesses-that-combine-autonomous-models-with-deterministic-tools-formal-verification-and-strict-governance-architectures&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h2 id=&quot;evidence&quot;&gt;Evidence&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#evidence&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;CatDT demonstrates that in high-stakes scientific simulations, the performance bottleneck is the robust orchestration of tools rather than the LLM itself.&lt;/li&gt;
&lt;li&gt;The ‘Queen-Bee’ architecture provides a governed enterprise orchestration model that separates control (Queen) from constrained execution (Bee).&lt;/li&gt;
&lt;li&gt;Lean4Agent and LeanMarathon utilize formal methods and CI-gated transactions to verify agent trajectories and maintain task fidelity over long horizons.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;implications&quot;&gt;Implications&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#implications&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;The focus of AI development is shifting from ‘autonomous’ agents toward ‘constrained’ agents that operate within a verifiable software harness.&lt;/li&gt;
&lt;li&gt;Software engineering principles like state machines, formal verification, and circuit breakers are becoming foundational to agentic workflows.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;concepts&quot;&gt;Concepts&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#concepts&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;&lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/MCP&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/MCP&quot;&gt;MCP&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&quot;confidence&quot;&gt;Confidence&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#confidence&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;high&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 02:02:01 GMT</pubDate>
  </item><item>
    <title>Agent memory is evolving from passive retrieval-based RAG</title>
    <link>https://grounding.fyi/04-Insights/Agent-memory-is-evolving-from-passive-retrieval-based-RAG</link>
    <guid>https://grounding.fyi/04-Insights/Agent-memory-is-evolving-from-passive-retrieval-based-RAG</guid>
    <description><![CDATA[ &lt;h2 id=&quot;agent-memory-is-evolving-from-passive-retrieval-based-rag-toward-active-execution-state-management-where-models-dynamically-sculpt-and-reconstruct-their-context-window-to-maintain-coherence&quot;&gt;Agent memory is evolving from passive retrieval-based RAG toward active execution-state management, where models dynamically ‘sculpt’ and reconstruct their context window to maintain coherence.&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#agent-memory-is-evolving-from-passive-retrieval-based-rag-toward-active-execution-state-management-where-models-dynamically-sculpt-and-reconstruct-their-context-window-to-maintain-coherence&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h2 id=&quot;evidence&quot;&gt;Evidence&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#evidence&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;The ‘Context Sculpting’ approach suggests that model-led editing of the context window improves performance and resource efficiency over append-only methods.&lt;/li&gt;
&lt;li&gt;Research on ‘Memory as Execution State Management’ and ‘Memory is Reconstructed, Not Retrieved’ proposes a shift from static vector search to relational, graph-based session states.&lt;/li&gt;
&lt;li&gt;The Universal Memory Protocol (UMP) and AdMem framework aim to standardize how persistent knowledge is structured and updated across diverse agent environments.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;implications&quot;&gt;Implications&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#implications&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Standard vector-similarity RAG is becoming insufficient for long-horizon agents, necessitating more structured, relational memory controllers.&lt;/li&gt;
&lt;li&gt;Builders can reduce token costs and ‘context rot’ by implementing agents that actively manage and prune their own working memory.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;concepts&quot;&gt;Concepts&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#concepts&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;&lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&quot;confidence&quot;&gt;Confidence&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#confidence&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;medium&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 02:02:01 GMT</pubDate>
  </item><item>
    <title>AI evaluation is undergoing a fundamental shift from</title>
    <link>https://grounding.fyi/04-Insights/AI-evaluation-is-undergoing-a-fundamental-shift-from</link>
    <guid>https://grounding.fyi/04-Insights/AI-evaluation-is-undergoing-a-fundamental-shift-from</guid>
    <description><![CDATA[ &lt;h2 id=&quot;ai-evaluation-is-undergoing-a-fundamental-shift-from-binary-task-completion-metrics-toward-fine-grained-behavioral-audits-that-measure-the-integrity-of-the-agents-reasoning-process-and-exploration-efficiency&quot;&gt;AI evaluation is undergoing a fundamental shift from binary task-completion metrics toward fine-grained behavioral audits that measure the integrity of the agent’s reasoning process and exploration efficiency.&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#ai-evaluation-is-undergoing-a-fundamental-shift-from-binary-task-completion-metrics-toward-fine-grained-behavioral-audits-that-measure-the-integrity-of-the-agents-reasoning-process-and-exploration-efficiency&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h2 id=&quot;evidence&quot;&gt;Evidence&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#evidence&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;SWE-Explore benchmarks measure repository exploration and line-level code pinpointing as differentiators rather than just functional pass rates.&lt;/li&gt;
&lt;li&gt;The ‘Self-Correction Illusion’ research reveals that agent failures are often structural artifacts of role-labeling rather than cognitive deficits.&lt;/li&gt;
&lt;li&gt;Agent Competitions and the ALE benchmark are prioritizing process-driven evaluation and ‘economically meaningful’ tasks over static question-answering.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;implications&quot;&gt;Implications&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#implications&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Builders must transition from simple test-case validation to comprehensive ‘trace auditing’ to detect cheating, shortcut learning, or hallucinated reasoning steps.&lt;/li&gt;
&lt;li&gt;Reliability will increasingly be defined by an agent’s ability to navigate complex environments rather than its raw output accuracy.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;concepts&quot;&gt;Concepts&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#concepts&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;&lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Codebase-Indexing&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Codebase-Indexing&quot;&gt;Codebase Indexing&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&quot;confidence&quot;&gt;Confidence&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#confidence&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;high&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 02:02:01 GMT</pubDate>
  </item><item>
    <title>Prompt Engineering</title>
    <link>https://grounding.fyi/02-Concepts/Prompt-Engineering</link>
    <guid>https://grounding.fyi/02-Concepts/Prompt-Engineering</guid>
    <description><![CDATA[ &lt;p&gt;Prompt Engineering is the practice of shaping instructions, examples, constraints, and output formats for LLM behavior. GROUNDING tracks prompt patterns as part of broader context engineering and agent design.&lt;/p&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-prompt-engineering&quot;&gt;What is Prompt Engineering?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-prompt-engineering&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Prompt Engineering is the practice of shaping instructions, examples, constraints, and output formats for LLM behavior. GROUNDING tracks prompt patterns as part of broader context engineering and agent design.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 02:02:01 GMT</pubDate>
  </item><item>
    <title>2026-06-10</title>
    <link>https://grounding.fyi/01-Daily-Briefs/2026-06-10</link>
    <guid>https://grounding.fyi/01-Daily-Briefs/2026-06-10</guid>
    <description><![CDATA[ &lt;h2 id=&quot;-ai-brief--10-june-2026&quot;&gt;🛰 AI Brief — 10 June 2026&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#-ai-brief--10-june-2026&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;blockquote class=&quot;callout tip is-collapsible&quot; data-callout=&quot;tip&quot; data-callout-fold=&quot;&quot;&gt;
&lt;div class=&quot;callout-title&quot;&gt;
                  &lt;div class=&quot;callout-icon&quot;&gt;&lt;/div&gt;
                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;🥇 Anthropic Releases Claude Fable 5 and Mythos 5 · &lt;code&gt;prio 9&lt;/code&gt;&lt;/p&gt;&lt;/div&gt;
                  &lt;div class=&quot;fold-callout-icon&quot;&gt;&lt;/div&gt;
                &lt;/div&gt;
&lt;div class=&quot;callout-content&quot;&gt;
&lt;p&gt;The release of Claude Fable 5 offers significant performance gains in autonomous coding tasks and software engineering workflows, directly impacting developers using frontier models. The dual-model strategy with restricted access for cyberdefenders illustrates the evolving balance between powerful agentic capabilities and security safeguards for dual-use technologies.
&lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;em&gt;5 sources&lt;/em&gt; · &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/US-Government&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/US-Government&quot;&gt;US Government&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt;&lt;/p&gt;
&lt;/div&gt;
&lt;/blockquote&gt;
&lt;blockquote class=&quot;callout tip is-collapsible&quot; data-callout=&quot;tip&quot; data-callout-fold=&quot;&quot;&gt;
&lt;div class=&quot;callout-title&quot;&gt;
                  &lt;div class=&quot;callout-icon&quot;&gt;&lt;/div&gt;
                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;🥈 macOS Container Machines · &lt;code&gt;prio 9&lt;/code&gt;&lt;/p&gt;&lt;/div&gt;
                  &lt;div class=&quot;fold-callout-icon&quot;&gt;&lt;/div&gt;
                &lt;/div&gt;
&lt;div class=&quot;callout-content&quot;&gt;
&lt;p&gt;This tool streamlines AI development workflows by allowing engineers to seamlessly build and test Linux-based applications (such as agents or tool servers) locally on macOS without complex virtualization overhead, directly supporting the community’s interest in efficient automation and developer tools.
&lt;a href=&quot;https://github.com/apple/container/blob/main/docs/container-machine.md&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/Linux&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Linux&quot;&gt;Linux&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/macOS&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/macOS&quot;&gt;macOS&lt;/a&gt;&lt;/p&gt;
&lt;/div&gt;
&lt;/blockquote&gt;
&lt;blockquote class=&quot;callout tip is-collapsible&quot; data-callout=&quot;tip&quot; data-callout-fold=&quot;&quot;&gt;
&lt;div class=&quot;callout-title&quot;&gt;
                  &lt;div class=&quot;callout-icon&quot;&gt;&lt;/div&gt;
                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;🥉 Nucleus: A security-hardened, Nix-native container runtime · &lt;code&gt;prio 7&lt;/code&gt;&lt;/p&gt;&lt;/div&gt;
                  &lt;div class=&quot;fold-callout-icon&quot;&gt;&lt;/div&gt;
                &lt;/div&gt;
&lt;div class=&quot;callout-content&quot;&gt;
&lt;p&gt;Efficient, secure isolation for AI agent workloads is a critical challenge for builders, and Nucleus offers a lightweight, Nix-native approach that addresses the performance trade-offs of traditional containerization.
&lt;a href=&quot;https://github.com/sig-id/nucleus&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/NixOS&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NixOS&quot;&gt;NixOS&lt;/a&gt;&lt;/p&gt;
&lt;/div&gt;
&lt;/blockquote&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Agents</title>
    <link>https://grounding.fyi/02-Concepts/Agents</link>
    <guid>https://grounding.fyi/02-Concepts/Agents</guid>
    <description><![CDATA[ &lt;p&gt;AI agents are LLM-driven systems that can plan, call tools, inspect results, and iterate toward a goal. GROUNDING tracks agent architectures, benchmarks, tool use, browser agents, coding agents, and reliability patterns.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Related:&lt;/strong&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-08: Intuned Launches Tool for Reliable, AI-Maintained Browser Automations (Hacker News) · &lt;a href=&quot;https://intunedhq.com/&quot; class=&quot;external&quot;&gt;intunedhq.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Intuned&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Intuned&quot;&gt;Intuned&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Y-Combinator&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Y-Combinator&quot;&gt;Y Combinator&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Analyzing GitHub Star Inflation and the ‘Harness’ Hype (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045028/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/X&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/X&quot;&gt;X&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/freeCodeCamp&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/freeCodeCamp&quot;&gt;freeCodeCamp&lt;/a&gt; Affaan Matt Pocock Grok&lt;/li&gt;
&lt;li&gt;2026-06-08: The crash that vanished: control and emergence in a five-model economy (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/build-small-hackathon/thousand-token-wood-sim-v3&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/NVIDIA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NVIDIA&quot;&gt;NVIDIA&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenBMB&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenBMB&quot;&gt;OpenBMB&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Engineering AI for Software Development: Shifting Paradigms for Coding Agents (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045090/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/NIST&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NIST&quot;&gt;NIST&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/ISO&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/ISO&quot;&gt;ISO&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/European-Union&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/European-Union&quot;&gt;European Union&lt;/a&gt; Sculley Martínez-Fernández Kreuzberger Fan Jimenez Yang Srinivasan&lt;/li&gt;
&lt;li&gt;2026-06-08: Moving from Vibe-Coding to Structured AI-Agent Development Teams (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045110/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/MongoDB&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/MongoDB&quot;&gt;MongoDB&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DigitalOcean&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DigitalOcean&quot;&gt;DigitalOcean&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Building an AI-powered B2B SaaS: Engineering Challenges from MVP to Production (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045184/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/YouTube&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/YouTube&quot;&gt;YouTube&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Dmitry&lt;/li&gt;
&lt;li&gt;2026-06-09: PaperMentor: A Human-Centered Multi-Agent Writing Tutor for Overleaf (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08857&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Overleaf&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Overleaf&quot;&gt;Overleaf&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-5.2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5.2&quot;&gt;GPT-5.2&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: REFLECT: Intervention-Supported Error Attribution for Silent Failures in LLM Agent Traces (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.09071&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: The Token Not Taken: Sampling, State, and the Variability of AI Agent Outputs (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08998&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: From Holistic Evaluation to Structured Criteria: Rubrics Across the Evolving LLM Landscape (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08625&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Semantic Quorum Assurance: Collective Certification for Non-Deterministic AI Infrastructure (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08021&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Oversight Has a Capacity: Calibrating Agent Guards to a Subjective, Fatiguing Human (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08919&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08348&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/DeepSeek&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DeepSeek&quot;&gt;DeepSeek&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DeepSeek-V4-Flash&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeepSeek-V4-Flash&quot;&gt;DeepSeek V4 Flash&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: ConMem: Structured Memory-Guided Adaptation in Training-Free Multi-Agent Systems (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08702&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Scaffold Effects on GAIA: A Controlled Comparison (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08529&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.7&quot;&gt;Claude Opus 4.7&lt;/a&gt; Claude Sonnet 4.6 Claude Haiku 4.5 Gemini 3.1 Pro Preview GPT 5.5&lt;/li&gt;
&lt;li&gt;2026-06-09: Benchmarking Open-Ended Multi-Agent Coordination in Language Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08340&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemini-3.1-Pro-High&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini-3.1-Pro-High&quot;&gt;Gemini-3.1-Pro-High&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-5.4-High&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5.4-High&quot;&gt;GPT-5.4-High&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Customer-Agent: Overcoming Context Limitations in Ultra-Long Shopping Trajectories via Tool-Augmented Agents and RLVR (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07995&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: To Nuke or Not to Nuke: Evaluating Ethical Reasoning in Agentic Decision-Making (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08310&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: PACE: Anytime-Valid Acceptance Tests for Self-Evolving Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08106&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5&quot;&gt;Qwen2.5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08049&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/GitLab&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitLab&quot;&gt;GitLab&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Strained Coherence: A Pre-Failure Signal in Coding Agent Execution Trajectories (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07889&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Sonnet-4.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Sonnet-4.6&quot;&gt;Claude Sonnet 4.6&lt;/a&gt; Qwen3.5-35B-A3B Gemma4-31B&lt;/li&gt;
&lt;li&gt;2026-06-09: Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08151&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Opus&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Opus&quot;&gt;Opus&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen&quot;&gt;Qwen&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Codex&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Codex&quot;&gt;Codex&lt;/a&gt; GPT 5.5 Qwen-QLoRA Qwen3.6-Plus Gemini-3.1-Pro-High Qwen3.5-122B-A10B&lt;/li&gt;
&lt;li&gt;2026-06-09: AgentTrust: A Self-Improving Trust Layer for AI-Agent Actions (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08539&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Where Instruction Hierarchy Breaks: Diagnosing and Repairing Failures in Reasoning Language Models (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07808&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Gemma-4-31B-IT Qwen3.6-35B-A3B Claude Sonnet 4.6 GPT-5.3&lt;/li&gt;
&lt;li&gt;2026-06-09: Principled Agent Debate: Adversarial Arbitration for Sycophancy Reduction in Large Language Models (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07532&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: SciTrace: Trajectory-Aware Safety Reasoning for Scientific Discovery Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08234&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: MemoPilot: Training Memory Updates for LLM Agents with Reinforcement Learning (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08656&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DeepSeek-V3.2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeepSeek-V3.2&quot;&gt;DeepSeek-V3.2&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Syll: Open-Source Personal Automation with Cross-Surface Execution (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07594&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Adobe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Adobe&quot;&gt;Adobe&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: MemToolAgent: Enhancing LLM Agent Tool Use Through Memory Management (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07909&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Danilo Neves Ribeiro&lt;/li&gt;
&lt;li&gt;2026-06-09: Contract2Tool: Learning Preconditions and Effects for Reliable Tool-Augmented LLM Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07904&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Evaluating AI Coding Agents on Neuroscience Data Pipelines (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07718&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07591&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.7&quot;&gt;Claude Opus 4.7&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Beyond Agent Architecture: Execution Assumptions and Reproducibility in LLM-Based Trading Systems (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08285&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/alphaXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/alphaXiv&quot;&gt;alphaXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/CatalyzeX&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CatalyzeX&quot;&gt;CatalyzeX&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DagsHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DagsHub&quot;&gt;DagsHub&lt;/a&gt; Gotit.pub Hugging Face ScienceCast&lt;/li&gt;
&lt;li&gt;2026-06-09: The Cold-Start Safety Gap in LLM Agents (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07867&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Online Agent-as-a-Judge: Situation-Generating Evaluation for Interactive Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08200&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Building a Custom Billing System for Multi-tenant AI Agents (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/companies/llmstart/articles/1039474/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/LLMStart.ru&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/LLMStart.ru&quot;&gt;LLMStart.ru&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/1C&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/1C&quot;&gt;1C&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Ayton&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Ayton&quot;&gt;Ayton&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenRouter&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenRouter&quot;&gt;OpenRouter&lt;/a&gt; LangChain Sergey Smirnov Gemini Pro Gemini Flash&lt;/li&gt;
&lt;li&gt;2026-06-09: Building a Practical Harness for Coding Agents: A Real-World Perspective (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045348/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Vercel&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Vercel&quot;&gt;Vercel&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Redis-Ltd.&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Redis-Ltd.&quot;&gt;Redis Ltd.&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: QA Test-Case Automation Using n8n and Claude (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/companies/banki/articles/1045336/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Banki.ru&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Banki.ru&quot;&gt;Banki.ru&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Atlassian&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Atlassian&quot;&gt;Atlassian&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Qameta-Software&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Qameta-Software&quot;&gt;Qameta Software&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; n8n Kostya Claude Sonnet 4.6&lt;/li&gt;
&lt;li&gt;2026-06-09: The Agentic Era meets Reality: Enterprise Middleware, Agent Workflows, and Reasoning RL (Turing Post) · &lt;a href=&quot;https://turingpost.substack.com/p/a-weekly-digest-the-agentic-era-meets&quot; class=&quot;external&quot;&gt;turingpost.substack.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Snowflake&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Snowflake&quot;&gt;Snowflake&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Databricks&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Databricks&quot;&gt;Databricks&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Salesforce&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Salesforce&quot;&gt;Salesforce&lt;/a&gt; GitHub Mario Rodriguez Raymond Weitekamp&lt;/li&gt;
&lt;li&gt;2026-06-09: Agentic Chaining of Hugging Face Spaces via agents.md Discovery (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/mishig/spaces-agents-md&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Ideogram&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Ideogram&quot;&gt;Ideogram&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/VAST-AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/VAST-AI&quot;&gt;VAST AI&lt;/a&gt; Mitchell Hashimoto&lt;/li&gt;
&lt;li&gt;2026-06-09: Analyzing the Claude Code Best Practices Repository (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045510/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; Boris Cherny shanraisshan &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Coding as the Primary Abstraction for Agentic Model Thinking (‌LLM под капотом) · &lt;a href=&quot;https://abdullin.com/erc/&quot; class=&quot;external&quot;&gt;abdullin.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/BitGN&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/BitGN&quot;&gt;BitGN&lt;/a&gt; Farid Temuri &lt;a href=&quot;../03-Entities/Models/mimo-v2.5-pro&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/mimo-v2.5-pro&quot;&gt;mimo-v2.5-pro&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Is Grep All You Need? How Agent Harnesses Reshape Agentic Search (Hacker News) · &lt;a href=&quot;https://arxiv.org/abs/2605.15184&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Can LLMs Beat Classical Hyperparameter Optimization Algorithms? (Hacker News) · &lt;a href=&quot;https://arxiv.org/abs/2603.24647&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; Fabio Ferreira &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.6&quot;&gt;Claude Opus 4.6&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemini-3.1-Pro-Preview&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini-3.1-Pro-Preview&quot;&gt;Gemini 3.1 Pro Preview&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: When AI Makes Confident Errors in Critical Systems (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045636/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/CrowdStrike&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CrowdStrike&quot;&gt;CrowdStrike&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Delta-Airlines&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Delta-Airlines&quot;&gt;Delta Airlines&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/AbuseIPDB&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/AbuseIPDB&quot;&gt;AbuseIPDB&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Wazuh&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Wazuh&quot;&gt;Wazuh&lt;/a&gt; Claude Haiku 4.5 Claude Sonnet 4.6&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Releases Claude Fable 5 (Hacker News) · &lt;a href=&quot;https://www.anthropic.com/claude/fable&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Amazon-Web-Services&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Amazon-Web-Services&quot;&gt;Amazon Web Services&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google-Cloud&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-Cloud&quot;&gt;Google Cloud&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; GitHub Claude Fable 5 Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-09: Transitioning from SQL-prompts to multi-agent systems for team operations (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045652/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/OneCell&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OneCell&quot;&gt;OneCell&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/AI-Talent-Hub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/AI-Talent-Hub&quot;&gt;AI Talent Hub&lt;/a&gt; Darya Voronkina&lt;/li&gt;
&lt;li&gt;2026-06-09: Cohere Releases North Mini Code: A 30B Agentic Coding Model (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/CohereLabs/introducing-north-mini-code&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Cohere&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cohere&quot;&gt;Cohere&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Artificial-Analysis&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Artificial-Analysis&quot;&gt;Artificial Analysis&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/North-Mini-Code&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/North-Mini-Code&quot;&gt;North Mini Code&lt;/a&gt; Qwen3.5 Gemma 4 Devstral Small 2 Nemotron 3 Super Mistral Small 4 Devstral 2&lt;/li&gt;
&lt;li&gt;2026-06-10: Nucleus: A security-hardened, Nix-native container runtime (Hacker News) · &lt;a href=&quot;https://github.com/sig-id/nucleus&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/NixOS&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NixOS&quot;&gt;NixOS&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-10: Anthropic Releases Claude Fable 5 and Mythos 5 (‌alphaXiv) · &lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/US-Government&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/US-Government&quot;&gt;US Government&lt;/a&gt; Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-agents&quot;&gt;What is Agents?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-agents&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;AI agents are LLM-driven systems that can plan, call tools, inspect results, and iterate toward a goal. GROUNDING tracks agent architectures, benchmarks, tool use, browser agents, coding agents, and reliability patterns.&lt;/p&gt;
&lt;h3 id=&quot;which-concepts-are-related-to-agents&quot;&gt;Which concepts are related to Agents?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#which-concepts-are-related-to-agents&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Related concepts tracked by the radar include Agent Memory, Tool Use, Context Engineering, Code Agents.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-agents-page-track&quot;&gt;What does this Agents page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-agents-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated updates, papers, and mentions of Agents collected by the GROUNDING radar, most recently on 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Code Agents</title>
    <link>https://grounding.fyi/02-Concepts/Code-Agents</link>
    <guid>https://grounding.fyi/02-Concepts/Code-Agents</guid>
    <description><![CDATA[ &lt;p&gt;Code agents are AI agents that inspect repositories, edit files, run tools, and iterate on software tasks. GROUNDING tracks coding-agent workflows, context management, evaluations, and reliability risks.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Topic:&lt;/strong&gt; &lt;a href=&quot;../02-Topics/AI-Coding&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Topics/AI-Coding&quot;&gt;AI Coding&lt;/a&gt;
&lt;strong&gt;Related:&lt;/strong&gt; &lt;a href=&quot;../02-Concepts/Codebase-Indexing&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Codebase-Indexing&quot;&gt;Codebase Indexing&lt;/a&gt; &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-06: AINews Summary: Frontier Model Updates, Recursive Self-Improvement Labs, and Agent Evaluation Benchmarks (Latent.Space) · &lt;a href=&quot;https://www.latent.space/p/ainews-not-much-happened-today-6b8&quot; class=&quot;external&quot;&gt;latent.space&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Sakana-AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Sakana-AI&quot;&gt;Sakana AI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/dair_ai&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/dair_ai&quot;&gt;dair_ai&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Princeton&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Princeton&quot;&gt;Princeton&lt;/a&gt; Meta OpenAI Google kimmonismus LechMazur teortaxesTex hardmaru andrew_n_carr rishi_desai2 omarsar0 steverab pauliusztin_ adithya_s_k Claude Mythos Claude Opus 4.7 Claude Opus 4.8 GPT 5.5 Gemini 3.1 Pro Gemini 3.5 Flash&lt;/li&gt;
&lt;li&gt;2026-06-06: Components of a Coding Agent (Ahead of AI) · &lt;a href=&quot;https://magazine.sebastianraschka.com/p/components-of-a-coding-agent&quot; class=&quot;external&quot;&gt;magazine.sebastianraschka.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-06: Google Research Announces Gemini for Science Suite at I/O 2026 (The latest research from Google) · &lt;a href=&quot;https://research.google/blog/a-new-era-of-innovation-google-research-at-io-2026/&quot; class=&quot;external&quot;&gt;research.google&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google-Cloud&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-Cloud&quot;&gt;Google Cloud&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google-DeepMind&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-DeepMind&quot;&gt;Google DeepMind&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google-Labs&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-Labs&quot;&gt;Google Labs&lt;/a&gt; Yossi Matias Gemini&lt;/li&gt;
&lt;li&gt;2026-06-07: Tokenomics: Quantifying Token Consumption in Agentic Software Engineering (Hacker News) · &lt;a href=&quot;https://arxiv.org/abs/2601.14470&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Models/GPT-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5&quot;&gt;GPT-5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: TakoVM: Self-Hosted Isolated Python Execution for AI Agents (Hacker News) · &lt;a href=&quot;https://github.com/las7/TakoVM&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/TakoVM&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/TakoVM&quot;&gt;TakoVM&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Docker&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Docker&quot;&gt;Docker&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/PostgreSQL&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/PostgreSQL&quot;&gt;PostgreSQL&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/e2b&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/e2b&quot;&gt;e2b&lt;/a&gt; microsandbox Redis Celery Apache&lt;/li&gt;
&lt;li&gt;2026-06-07: I design with Claude more than Figma now (Hacker News) · &lt;a href=&quot;https://blog.janestreet.com/i-design-with-claude-code-more-than-figma-now-index/&quot; class=&quot;external&quot;&gt;blog.janestreet.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Figma&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Figma&quot;&gt;Figma&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Jane-Street&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Jane-Street&quot;&gt;Jane Street&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: Landforge: Automating Static Landing Page Development with Claude Code Skills (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044516/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: Her: A Forensic Detective for Claude Code Sessions (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/build-small-hackathon/her-blog&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Nemotron-Mini-4B-Instruct&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Nemotron-Mini-4B-Instruct&quot;&gt;Nemotron-Mini-4B-Instruct&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: Leveraging MCP and Standard Frameworks for Agent-Driven Development (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044640/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Symfony&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Symfony&quot;&gt;Symfony&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Unity&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Unity&quot;&gt;Unity&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: My Automated Doubt Development Process (Hacker News) · &lt;a href=&quot;https://www.alexself.dev/blog/automated-doubt&quot; class=&quot;external&quot;&gt;alexself.dev&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hacker-News&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hacker-News&quot;&gt;Hacker News&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: jumie: A local CLI terminal assistant (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044672/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Ollama&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Ollama&quot;&gt;Ollama&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/gemma4-e2b&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/gemma4-e2b&quot;&gt;gemma4:e2b&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Hands-on with Intelligent Terminal, an AI-powered Windows Terminal (‌BleepingComputer) · &lt;a href=&quot;https://www.bleepingcomputer.com/news/microsoft/hands-on-with-intelligent-terminal-an-ai-powered-windows-terminal/&quot; class=&quot;external&quot;&gt;bleepingcomputer.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Codex&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Codex&quot;&gt;Codex&lt;/a&gt; Gemini&lt;/li&gt;
&lt;li&gt;2026-06-08: datasette-agent-edit 0.1a0 (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/7/datasette-agent-edit/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Simon Willison &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.8&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.8&quot;&gt;Claude Opus 4.8&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: LLM Agent-Assisted Reverse Engineering with Quantitative Readability Metrics (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.06838&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: SWE-Explore: Benchmarking How Coding Agents Explore Repositories (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07297&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: SWE-IF: Aligning Code Evaluation with Human Preference (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2510.07315&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Ming Zhong&lt;/li&gt;
&lt;li&gt;2026-06-08: AutoTool: Dynamic Tool Selection for Agentic Reasoning (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2512.13278&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Jiaru Zou &lt;a href=&quot;../03-Entities/Models/Qwen3-8B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen3-8B&quot;&gt;Qwen3-8B&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5-VL-7B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5-VL-7B&quot;&gt;Qwen2.5-VL-7B&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07462&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.7&quot;&gt;Claude Opus 4.7&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Anthropic’s AI Code Generation and the Blind Spots of Automated Verification (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044850/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/METR&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/METR&quot;&gt;METR&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Challenges of Adopting Claude Code in Enterprise Development (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/companies/cian/articles/1024734/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Cian&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cian&quot;&gt;Cian&lt;/a&gt; Andrey&lt;/li&gt;
&lt;li&gt;2026-06-08: Reflections on AI’s Impact on Engineering Careers and Workflows (Hacker News) · &lt;a href=&quot;https://human-in-the-loop.bearblog.dev/replies-to-comments-on-my-llms-are-eroding-my-career-post/&quot; class=&quot;external&quot;&gt;human-in-the-loop.bearblog.dev&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Hacker-News&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hacker-News&quot;&gt;Hacker News&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Andrej Karpathy-Inspired Coding Guidelines for Agents (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/multica-ai/andrej-karpathy-skills&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cursor&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cursor&quot;&gt;Cursor&lt;/a&gt; Andrej Karpathy&lt;/li&gt;
&lt;li&gt;2026-06-08: Skills for Real Engineers: Composable Agent Workflows by Matt Pocock (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/mattpocock/skills&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Linear&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Linear&quot;&gt;Linear&lt;/a&gt; David Thomas Andrew Hunt Matt Pocock&lt;/li&gt;
&lt;li&gt;2026-06-08: graphify: AI Coding Assistant Skill for Knowledge Graph Generation (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/safishamsi/graphify&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Miasma Worm Targets AI Coding Agents via GitHub Repos (Hacker News) · &lt;a href=&quot;https://safedep.io/config-files-that-run-code/&quot; class=&quot;external&quot;&gt;safedep.io&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: 2026 Cursor IDE Guide: Agentic Workflows and Features (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/companies/bothub/articles/1044774/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Cursor&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cursor&quot;&gt;Cursor&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/VS-Code&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/VS-Code&quot;&gt;VS Code&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Intuned Launches Tool for Reliable, AI-Maintained Browser Automations (Hacker News) · &lt;a href=&quot;https://intunedhq.com/&quot; class=&quot;external&quot;&gt;intunedhq.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Intuned&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Intuned&quot;&gt;Intuned&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Y-Combinator&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Y-Combinator&quot;&gt;Y Combinator&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Analyzing GitHub Star Inflation and the ‘Harness’ Hype (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045028/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/X&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/X&quot;&gt;X&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/freeCodeCamp&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/freeCodeCamp&quot;&gt;freeCodeCamp&lt;/a&gt; Affaan Matt Pocock Grok&lt;/li&gt;
&lt;li&gt;2026-06-08: Engineering AI for Software Development: Shifting Paradigms for Coding Agents (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045090/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/NIST&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NIST&quot;&gt;NIST&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/ISO&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/ISO&quot;&gt;ISO&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/European-Union&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/European-Union&quot;&gt;European Union&lt;/a&gt; Sculley Martínez-Fernández Kreuzberger Fan Jimenez Yang Srinivasan&lt;/li&gt;
&lt;li&gt;2026-06-08: Moving from Vibe-Coding to Structured AI-Agent Development Teams (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045110/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/MongoDB&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/MongoDB&quot;&gt;MongoDB&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DigitalOcean&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DigitalOcean&quot;&gt;DigitalOcean&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Claude Code Token Optimization Tip: Reducing File Reads for Edits (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045186/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Hacker News: Community-Built AI Tools and Workflows (Hacker News) · &lt;a href=&quot;https://news.ycombinator.com/item?id=48449187&quot; class=&quot;external&quot;&gt;news.ycombinator.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Jira&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Jira&quot;&gt;Jira&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Confluence&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Confluence&quot;&gt;Confluence&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08049&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/GitLab&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitLab&quot;&gt;GitLab&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Strained Coherence: A Pre-Failure Signal in Coding Agent Execution Trajectories (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07889&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Sonnet-4.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Sonnet-4.6&quot;&gt;Claude Sonnet 4.6&lt;/a&gt; Qwen3.5-35B-A3B Gemma4-31B&lt;/li&gt;
&lt;li&gt;2026-06-09: Evaluating AI Coding Agents on Neuroscience Data Pipelines (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07718&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07591&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.7&quot;&gt;Claude Opus 4.7&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: FrontierCode: Benchmarking for Code Quality over Slop (Latent.Space) · &lt;a href=&quot;https://www.latent.space/p/ainews-frontiercode-benchmarking&quot; class=&quot;external&quot;&gt;latent.space&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/METR&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/METR&quot;&gt;METR&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Latent.Space&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Latent.Space&quot;&gt;Latent.Space&lt;/a&gt; Apple Google Scott Wu Omar Sar0 Graham Neubig Hamel Husain Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-09: Hermes Codex Plugin: Local Memory for Coding Agents via SQLite (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045262/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: The Agentic Era meets Reality: Enterprise Middleware, Agent Workflows, and Reasoning RL (Turing Post) · &lt;a href=&quot;https://turingpost.substack.com/p/a-weekly-digest-the-agentic-era-meets&quot; class=&quot;external&quot;&gt;turingpost.substack.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Snowflake&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Snowflake&quot;&gt;Snowflake&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Databricks&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Databricks&quot;&gt;Databricks&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Salesforce&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Salesforce&quot;&gt;Salesforce&lt;/a&gt; GitHub Mario Rodriguez Raymond Weitekamp&lt;/li&gt;
&lt;li&gt;2026-06-09: Spring Explore Skill for AI-Assisted Development (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/companies/haulmont/articles/1041314/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Amplicode&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Amplicode&quot;&gt;Amplicode&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Spring&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Spring&quot;&gt;Spring&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; Josh Long&lt;/li&gt;
&lt;li&gt;2026-06-09: Agentic Chaining of Hugging Face Spaces via agents.md Discovery (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/mishig/spaces-agents-md&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Ideogram&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Ideogram&quot;&gt;Ideogram&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/VAST-AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/VAST-AI&quot;&gt;VAST AI&lt;/a&gt; Mitchell Hashimoto&lt;/li&gt;
&lt;li&gt;2026-06-09: Analyzing the Claude Code Best Practices Repository (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045510/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; Boris Cherny shanraisshan &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: How I Implemented Connect RPC on Java Using AI Agents (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045542/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/buf&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/buf&quot;&gt;buf&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/dxFeed&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/dxFeed&quot;&gt;dxFeed&lt;/a&gt; Ivan Fedorenkov &lt;a href=&quot;../03-Entities/Models/Claude-3-Opus&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-3-Opus&quot;&gt;Claude 3 Opus&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Coding as the Primary Abstraction for Agentic Model Thinking (‌LLM под капотом) · &lt;a href=&quot;https://abdullin.com/erc/&quot; class=&quot;external&quot;&gt;abdullin.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/BitGN&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/BitGN&quot;&gt;BitGN&lt;/a&gt; Farid Temuri &lt;a href=&quot;../03-Entities/Models/mimo-v2.5-pro&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/mimo-v2.5-pro&quot;&gt;mimo-v2.5-pro&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 (эйай ньюз) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC US Government Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Releases Claude Fable 5 (Hacker News) · &lt;a href=&quot;https://www.anthropic.com/claude/fable&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Amazon-Web-Services&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Amazon-Web-Services&quot;&gt;Amazon Web Services&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google-Cloud&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-Cloud&quot;&gt;Google Cloud&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; GitHub Claude Fable 5 Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 Models (Data Science by ODS.ai 🦜) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Cohere Releases North Mini Code: A 30B Agentic Coding Model (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/CohereLabs/introducing-north-mini-code&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Cohere&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cohere&quot;&gt;Cohere&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Artificial-Analysis&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Artificial-Analysis&quot;&gt;Artificial Analysis&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/North-Mini-Code&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/North-Mini-Code&quot;&gt;North Mini Code&lt;/a&gt; Qwen3.5 Gemma 4 Devstral Small 2 Nemotron 3 Super Mistral Small 4 Devstral 2&lt;/li&gt;
&lt;li&gt;2026-06-09: Adding custom model pricing to AgentsView (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/agentsview-custom-model-price/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Simon Willison Wes McKinney &lt;a href=&quot;../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.8&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.8&quot;&gt;Claude Opus 4.8&lt;/a&gt; GPT-4&lt;/li&gt;
&lt;li&gt;2026-06-10: Anthropic Releases Claude Fable 5 and Mythos 5 (‌alphaXiv) · &lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/US-Government&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/US-Government&quot;&gt;US Government&lt;/a&gt; Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-code-agents&quot;&gt;What is Code Agents?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-code-agents&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Code agents are AI agents that inspect repositories, edit files, run tools, and iterate on software tasks. GROUNDING tracks coding-agent workflows, context management, evaluations, and reliability risks.&lt;/p&gt;
&lt;h3 id=&quot;which-topic-does-code-agents-belong-to&quot;&gt;Which topic does Code Agents belong to?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#which-topic-does-code-agents-belong-to&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;On the GROUNDING radar, Code Agents is grouped under the AI Coding topic.&lt;/p&gt;
&lt;h3 id=&quot;which-concepts-are-related-to-code-agents&quot;&gt;Which concepts are related to Code Agents?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#which-concepts-are-related-to-code-agents&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Related concepts tracked by the radar include Codebase Indexing, RAG, Context Engineering, Agents.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Context Engineering</title>
    <link>https://grounding.fyi/02-Concepts/Context-Engineering</link>
    <guid>https://grounding.fyi/02-Concepts/Context-Engineering</guid>
    <description><![CDATA[ &lt;p&gt;Context Engineering is the discipline of selecting, compressing, ordering, and refreshing the information an AI system sees at inference time. GROUNDING tracks context windows, memory, tools, retrieval, and prompt architecture.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Topic:&lt;/strong&gt; &lt;a href=&quot;../02-Topics/LLMs&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Topics/LLMs&quot;&gt;LLMs&lt;/a&gt;
&lt;strong&gt;Related:&lt;/strong&gt; &lt;a href=&quot;../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Prompt-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Prompt-Engineering&quot;&gt;Prompt Engineering&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-05: Debunking Claude Code Architecture: No Recursion and Complex Context Management (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1043904/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: Agentic Development with LLMs: Efficiency Through Process (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1043966/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: Key Announcements from Microsoft Build 2026 (ИИ Дайджест: новости и тренды) · &lt;a href=&quot;https://qudata.com/ru/news/everything-you-missed-at-microsoft-build-2026/&quot; class=&quot;external&quot;&gt;qudata.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/MAI-Thinking-1&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/MAI-Thinking-1&quot;&gt;MAI-Thinking-1&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: Show HN: Lowfat – pluggable CLI filter that saved 91.8% of my LLM tokens (Hacker News) · &lt;a href=&quot;https://github.com/zdk/lowfat&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: Prompt Injection Vulnerabilities in Customer Support Agents (‌LLM под капотом) · &lt;a href=&quot;https://bitgn.com/challenge/ecom&quot; class=&quot;external&quot;&gt;bitgn.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Meta&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Meta&quot;&gt;Meta&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Instagram&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Instagram&quot;&gt;Instagram&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/LLaMA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/LLaMA&quot;&gt;LLaMA&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: Designing an AI Maître d’ for Restaurant Chains: Architecture and Integrations (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1041262/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/IIKO&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/IIKO&quot;&gt;IIKO&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Remarked&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Remarked&quot;&gt;Remarked&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/RocketData&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/RocketData&quot;&gt;RocketData&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: Leak Reveals Microsoft’s Internal ‘Addictive’ Strategy for Scout AI Assistant (Hacker News) · &lt;a href=&quot;https://kotaku.com/microsoft-ai-scout-addictive-satya-nadella-404-media-copilot-2000702924&quot; class=&quot;external&quot;&gt;kotaku.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/404-Media&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/404-Media&quot;&gt;404 Media&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-06: From “I’ll Write It Faster Myself” to a Custom Framework for Agentic Development (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044322/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Matvey Konoplev &lt;a href=&quot;../03-Entities/Models/Claude-Opus&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus&quot;&gt;Claude Opus&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen&quot;&gt;Qwen&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-06: 10 Claude Code Configurations for Developers and Architects (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044336/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-06: Custom metabolic AI architecture resists standard coding agents (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044376/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-06: Modular Architecture as an Alternative to Long Context in AI-Assisted Coding (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044384/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-06: Five Labs, Five Minds: Engineering Lessons from Multi-Model Agent Systems (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/build-small-hackathon/thousand-token-wood-sim-v2&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenBMB&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenBMB&quot;&gt;OpenBMB&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/NVIDIA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NVIDIA&quot;&gt;NVIDIA&lt;/a&gt; gpt-oss-20b MiniCPM3-4B Nemotron-Mini-4B Qwen 0.5B&lt;/li&gt;
&lt;li&gt;2026-06-06: Components of a Coding Agent (Ahead of AI) · &lt;a href=&quot;https://magazine.sebastianraschka.com/p/components-of-a-coding-agent&quot; class=&quot;external&quot;&gt;magazine.sebastianraschka.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: Adaptive Parallel Reasoning: The Next Paradigm in Efficient Inference Scaling (The Berkeley Artificial Intelligence Research Blog) · &lt;a href=&quot;http://bair.berkeley.edu/blog/2026/05/08/adaptive-parallel-reasoning/&quot; class=&quot;external&quot;&gt;bair.berkeley.edu&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Berkeley-Artificial-Intelligence-Research&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Berkeley-Artificial-Intelligence-Research&quot;&gt;Berkeley Artificial Intelligence Research&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DeepSeek-AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DeepSeek-AI&quot;&gt;DeepSeek-AI&lt;/a&gt; Tony Lian&lt;/li&gt;
&lt;li&gt;2026-06-07: Context Sculpting (Hacker News) · &lt;a href=&quot;https://perceptiontheory.bearblog.dev/context-sculpting/&quot; class=&quot;external&quot;&gt;perceptiontheory.bearblog.dev&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Viv &lt;a href=&quot;../03-Entities/Models/Opus&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Opus&quot;&gt;Opus&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Sonnet&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Sonnet&quot;&gt;Sonnet&lt;/a&gt; Haiku Claude&lt;/li&gt;
&lt;li&gt;2026-06-07: Claude-Mem: Persistent Context and Memory for Agentic Workflows (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/thedotmack/claude-mem&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: jumie: A local CLI terminal assistant (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044672/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Ollama&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Ollama&quot;&gt;Ollama&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/gemma4-e2b&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/gemma4-e2b&quot;&gt;gemma4:e2b&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: ninoxAI: Open-Source Read-Only AI SRE for Alert Management (Hacker News) · &lt;a href=&quot;https://github.com/ninoxAI/nightwatch&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Checkmk&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Checkmk&quot;&gt;Checkmk&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Prometheus&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Prometheus&quot;&gt;Prometheus&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Icinga2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Icinga2&quot;&gt;Icinga2&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Zabbix&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Zabbix&quot;&gt;Zabbix&lt;/a&gt; Docker Kubernetes AWS Grafana GitHub Anthropic OpenAI Mistral Ollama ninoxAI&lt;/li&gt;
&lt;li&gt;2026-06-08: Hands-on with Intelligent Terminal, an AI-powered Windows Terminal (‌BleepingComputer) · &lt;a href=&quot;https://www.bleepingcomputer.com/news/microsoft/hands-on-with-intelligent-terminal-an-ai-powered-windows-terminal/&quot; class=&quot;external&quot;&gt;bleepingcomputer.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Codex&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Codex&quot;&gt;Codex&lt;/a&gt; Gemini&lt;/li&gt;
&lt;li&gt;2026-06-08: SEEK: Steering LLM Reasoning for RAG via Internal Reasoning Sketches (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2601.09402&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Xinze Li&lt;/li&gt;
&lt;li&gt;2026-06-08: Beyond Rubrics: Exploration-Guided Evaluation Skills for Reward Modeling (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07040&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen3-8B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen3-8B&quot;&gt;Qwen3-8B&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DeepSeek-V4-Flash&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeepSeek-V4-Flash&quot;&gt;DeepSeek V4 Flash&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.06906&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: NTILC: Neural Tool Invocation via Learned Compression (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.06566&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Understanding How AI ‘Thinking’ Modes Work Internally (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044770/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DeepSeek&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DeepSeek&quot;&gt;DeepSeek&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/o1&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/o1&quot;&gt;o1&lt;/a&gt; o3 DeepSeek R1&lt;/li&gt;
&lt;li&gt;2026-06-08: Challenges of Adopting Claude Code in Enterprise Development (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/companies/cian/articles/1024734/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Cian&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cian&quot;&gt;Cian&lt;/a&gt; Andrey&lt;/li&gt;
&lt;li&gt;2026-06-08: Andrej Karpathy-Inspired Coding Guidelines for Agents (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/multica-ai/andrej-karpathy-skills&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cursor&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cursor&quot;&gt;Cursor&lt;/a&gt; Andrej Karpathy&lt;/li&gt;
&lt;li&gt;2026-06-08: Skills for Real Engineers: Composable Agent Workflows by Matt Pocock (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/mattpocock/skills&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Linear&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Linear&quot;&gt;Linear&lt;/a&gt; David Thomas Andrew Hunt Matt Pocock&lt;/li&gt;
&lt;li&gt;2026-06-08: Scaling AI Skill Prompts: Moving from Monolithic Instructions to a Multi-Role ‘Skill-Concilium’ (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044978/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Analyzing GitHub Star Inflation and the ‘Harness’ Hype (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045028/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/X&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/X&quot;&gt;X&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/freeCodeCamp&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/freeCodeCamp&quot;&gt;freeCodeCamp&lt;/a&gt; Affaan Matt Pocock Grok&lt;/li&gt;
&lt;li&gt;2026-06-08: Automating Sales Lead Qualification in Bitrix24 with AI Agents (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045026/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Velmi&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Velmi&quot;&gt;Velmi&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Bitrix24&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Bitrix24&quot;&gt;Bitrix24&lt;/a&gt; Vlad Vander &lt;a href=&quot;../03-Entities/Models/GPT-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5&quot;&gt;GPT-5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Moving from Vibe-Coding to Structured AI-Agent Development Teams (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045110/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/MongoDB&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/MongoDB&quot;&gt;MongoDB&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DigitalOcean&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DigitalOcean&quot;&gt;DigitalOcean&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Structured Prompt-Driven Development (SPDD) for Scalable AI Engineering (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045060/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Thoughtworks&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Thoughtworks&quot;&gt;Thoughtworks&lt;/a&gt; Wei Zhang Jesse Tse Xia Martin Fowler&lt;/li&gt;
&lt;li&gt;2026-06-08: Claude Code Token Optimization Tip: Reducing File Reads for Edits (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045186/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Building an AI-powered B2B SaaS: Engineering Challenges from MVP to Production (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045184/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/YouTube&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/YouTube&quot;&gt;YouTube&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Dmitry&lt;/li&gt;
&lt;li&gt;2026-06-09: Customer-Agent: Overcoming Context Limitations in Ultra-Long Shopping Trajectories via Tool-Augmented Agents and RLVR (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07995&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08151&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Opus&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Opus&quot;&gt;Opus&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen&quot;&gt;Qwen&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Codex&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Codex&quot;&gt;Codex&lt;/a&gt; GPT 5.5 Qwen-QLoRA Qwen3.6-Plus Gemini-3.1-Pro-High Qwen3.5-122B-A10B&lt;/li&gt;
&lt;li&gt;2026-06-09: Where Instruction Hierarchy Breaks: Diagnosing and Repairing Failures in Reasoning Language Models (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07808&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Gemma-4-31B-IT Qwen3.6-35B-A3B Claude Sonnet 4.6 GPT-5.3&lt;/li&gt;
&lt;li&gt;2026-06-09: OmniMem: Perturbation-aware Memory Compression for Streaming Audio-Visual LLMs (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07577&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Models/video-SALMONN-2+&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/video-SALMONN-2+&quot;&gt;video-SALMONN 2+&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen-2.5-Omni&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen-2.5-Omni&quot;&gt;Qwen-2.5-Omni&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Building a Custom Billing System for Multi-tenant AI Agents (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/companies/llmstart/articles/1039474/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/LLMStart.ru&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/LLMStart.ru&quot;&gt;LLMStart.ru&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/1C&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/1C&quot;&gt;1C&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Ayton&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Ayton&quot;&gt;Ayton&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenRouter&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenRouter&quot;&gt;OpenRouter&lt;/a&gt; LangChain Sergey Smirnov Gemini Pro Gemini Flash&lt;/li&gt;
&lt;li&gt;2026-06-09: Building a Practical Harness for Coding Agents: A Real-World Perspective (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045348/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Vercel&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Vercel&quot;&gt;Vercel&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Redis-Ltd.&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Redis-Ltd.&quot;&gt;Redis Ltd.&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Implementing AI Consultant with Seamless Human Handoff (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045412/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/LLMcod.ru&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/LLMcod.ru&quot;&gt;LLMcod.ru&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/MAX&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/MAX&quot;&gt;MAX&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen3-30B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen3-30B&quot;&gt;Qwen3 30B&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Spring Explore Skill for AI-Assisted Development (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/companies/haulmont/articles/1041314/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Amplicode&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Amplicode&quot;&gt;Amplicode&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Spring&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Spring&quot;&gt;Spring&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; Josh Long&lt;/li&gt;
&lt;li&gt;2026-06-09: Analyzing the Claude Code Best Practices Repository (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045510/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; Boris Cherny shanraisshan &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Building an Advanced RAG Pipeline for Corporate AI Assistants (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/companies/chestnyznak/articles/1045460/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Confluence&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Confluence&quot;&gt;Confluence&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Jira&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Jira&quot;&gt;Jira&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitLab&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitLab&quot;&gt;GitLab&lt;/a&gt; Саша&lt;/li&gt;
&lt;li&gt;2026-06-09: Navigating On-Premises LLM Deployment Challenges (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045608/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 (эйай ньюз) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC US Government Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Google’s 20% Time and the Modern Shift to 120% AI Attention (Hacker News) · &lt;a href=&quot;https://joe.dev/posts/new-20pct-time/&quot; class=&quot;external&quot;&gt;joe.dev&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; Larry Page&lt;/li&gt;
&lt;li&gt;2026-06-09: Latent Context Language Models (LCLMs) (Yann LeCun) · &lt;a href=&quot;https://twitter.com/ylecun/status/2064361011994337772&quot; class=&quot;external&quot;&gt;twitter.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Yann LeCun Micah Goldblum &lt;a href=&quot;../03-Entities/Models/Latent-Context-Language-Models&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Latent-Context-Language-Models&quot;&gt;Latent Context Language Models&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: FlashMemory-DeepSeek-V4: Lightning Index Ultra-Long Context via Lookahead Sparse Attention (alphaXiv) · &lt;a href=&quot;https://twitter.com/askalphaxiv/status/2064458077039174052&quot; class=&quot;external&quot;&gt;twitter.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/DeepSeek&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DeepSeek&quot;&gt;DeepSeek&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DeepSeek-V4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeepSeek-V4&quot;&gt;DeepSeek V4&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-10: Anthropic Releases Claude Fable 5 and Mythos 5 (‌alphaXiv) · &lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/US-Government&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/US-Government&quot;&gt;US Government&lt;/a&gt; Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-context-engineering&quot;&gt;What is Context Engineering?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-context-engineering&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Context Engineering is the discipline of selecting, compressing, ordering, and refreshing the information an AI system sees at inference time. GROUNDING tracks context windows, memory, tools, retrieval, and prompt architecture.&lt;/p&gt;
&lt;h3 id=&quot;which-topic-does-context-engineering-belong-to&quot;&gt;Which topic does Context Engineering belong to?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#which-topic-does-context-engineering-belong-to&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;On the GROUNDING radar, Context Engineering is grouped under the LLMs topic.&lt;/p&gt;
&lt;h3 id=&quot;which-concepts-are-related-to-context-engineering&quot;&gt;Which concepts are related to Context Engineering?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#which-concepts-are-related-to-context-engineering&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Related concepts tracked by the radar include Long Context, Prompt Engineering, Agent Memory, RAG, Agents.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>AI Coding</title>
    <link>https://grounding.fyi/02-Topics/AI-Coding</link>
    <guid>https://grounding.fyi/02-Topics/AI-Coding</guid>
    <description><![CDATA[ &lt;p&gt;AI Coding covers tools and workflows where models assist with reading, writing, testing, and reviewing software. GROUNDING tracks coding agents, IDE assistants, repository context, evals, and engineering tradeoffs.&lt;/p&gt;
&lt;h2 id=&quot;key-developments&quot;&gt;Key Developments&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#key-developments&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-06: AINews Summary: Frontier Model Updates, Recursive Self-Improvement Labs, and Agent Evaluation Benchmarks (Latent.Space) · &lt;a href=&quot;https://www.latent.space/p/ainews-not-much-happened-today-6b8&quot; class=&quot;external&quot;&gt;latent.space&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Sakana-AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Sakana-AI&quot;&gt;Sakana AI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/dair_ai&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/dair_ai&quot;&gt;dair_ai&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Princeton&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Princeton&quot;&gt;Princeton&lt;/a&gt; Meta OpenAI Google kimmonismus LechMazur teortaxesTex hardmaru andrew_n_carr rishi_desai2 omarsar0 steverab pauliusztin_ adithya_s_k Claude Mythos Claude Opus 4.7 Claude Opus 4.8 GPT 5.5 Gemini 3.1 Pro Gemini 3.5 Flash&lt;/li&gt;
&lt;li&gt;2026-06-06: Components of a Coding Agent (Ahead of AI) · &lt;a href=&quot;https://magazine.sebastianraschka.com/p/components-of-a-coding-agent&quot; class=&quot;external&quot;&gt;magazine.sebastianraschka.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-06: Google Research Announces Gemini for Science Suite at I/O 2026 (The latest research from Google) · &lt;a href=&quot;https://research.google/blog/a-new-era-of-innovation-google-research-at-io-2026/&quot; class=&quot;external&quot;&gt;research.google&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google-Cloud&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-Cloud&quot;&gt;Google Cloud&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google-DeepMind&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-DeepMind&quot;&gt;Google DeepMind&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google-Labs&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-Labs&quot;&gt;Google Labs&lt;/a&gt; Yossi Matias Gemini&lt;/li&gt;
&lt;li&gt;2026-06-07: Tokenomics: Quantifying Token Consumption in Agentic Software Engineering (Hacker News) · &lt;a href=&quot;https://arxiv.org/abs/2601.14470&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5&quot;&gt;GPT-5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: TakoVM: Self-Hosted Isolated Python Execution for AI Agents (Hacker News) · &lt;a href=&quot;https://github.com/las7/TakoVM&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/TakoVM&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/TakoVM&quot;&gt;TakoVM&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Docker&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Docker&quot;&gt;Docker&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/PostgreSQL&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/PostgreSQL&quot;&gt;PostgreSQL&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/e2b&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/e2b&quot;&gt;e2b&lt;/a&gt; microsandbox Redis Celery Apache&lt;/li&gt;
&lt;li&gt;2026-06-07: I design with Claude more than Figma now (Hacker News) · &lt;a href=&quot;https://blog.janestreet.com/i-design-with-claude-code-more-than-figma-now-index/&quot; class=&quot;external&quot;&gt;blog.janestreet.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Figma&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Figma&quot;&gt;Figma&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Jane-Street&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Jane-Street&quot;&gt;Jane Street&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: Landforge: Automating Static Landing Page Development with Claude Code Skills (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044516/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: Her: A Forensic Detective for Claude Code Sessions (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/build-small-hackathon/her-blog&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Nemotron-Mini-4B-Instruct&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Nemotron-Mini-4B-Instruct&quot;&gt;Nemotron-Mini-4B-Instruct&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: Leveraging MCP and Standard Frameworks for Agent-Driven Development (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044640/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Symfony&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Symfony&quot;&gt;Symfony&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Unity&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Unity&quot;&gt;Unity&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: My Automated Doubt Development Process (Hacker News) · &lt;a href=&quot;https://www.alexself.dev/blog/automated-doubt&quot; class=&quot;external&quot;&gt;alexself.dev&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hacker-News&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hacker-News&quot;&gt;Hacker News&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: jumie: A local CLI terminal assistant (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044672/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Ollama&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Ollama&quot;&gt;Ollama&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/gemma4-e2b&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/gemma4-e2b&quot;&gt;gemma4:e2b&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Hands-on with Intelligent Terminal, an AI-powered Windows Terminal (‌BleepingComputer) · &lt;a href=&quot;https://www.bleepingcomputer.com/news/microsoft/hands-on-with-intelligent-terminal-an-ai-powered-windows-terminal/&quot; class=&quot;external&quot;&gt;bleepingcomputer.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Codex&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Codex&quot;&gt;Codex&lt;/a&gt; Gemini&lt;/li&gt;
&lt;li&gt;2026-06-08: datasette-agent-edit 0.1a0 (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/7/datasette-agent-edit/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Simon Willison &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.8&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.8&quot;&gt;Claude Opus 4.8&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: LLM Agent-Assisted Reverse Engineering with Quantitative Readability Metrics (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.06838&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: SWE-Explore: Benchmarking How Coding Agents Explore Repositories (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07297&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Codebase-Indexing&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Codebase-Indexing&quot;&gt;Codebase Indexing&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: SWE-IF: Aligning Code Evaluation with Human Preference (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2510.07315&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; Ming Zhong&lt;/li&gt;
&lt;li&gt;2026-06-08: AutoTool: Dynamic Tool Selection for Agentic Reasoning (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2512.13278&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; Jiaru Zou &lt;a href=&quot;../03-Entities/Models/Qwen3-8B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen3-8B&quot;&gt;Qwen3-8B&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5-VL-7B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5-VL-7B&quot;&gt;Qwen2.5-VL-7B&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07462&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.7&quot;&gt;Claude Opus 4.7&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Anthropic’s AI Code Generation and the Blind Spots of Automated Verification (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044850/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/METR&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/METR&quot;&gt;METR&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Challenges of Adopting Claude Code in Enterprise Development (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/companies/cian/articles/1024734/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cian&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cian&quot;&gt;Cian&lt;/a&gt; Andrey&lt;/li&gt;
&lt;li&gt;2026-06-08: Reflections on AI’s Impact on Engineering Careers and Workflows (Hacker News) · &lt;a href=&quot;https://human-in-the-loop.bearblog.dev/replies-to-comments-on-my-llms-are-eroding-my-career-post/&quot; class=&quot;external&quot;&gt;human-in-the-loop.bearblog.dev&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hacker-News&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hacker-News&quot;&gt;Hacker News&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Andrej Karpathy-Inspired Coding Guidelines for Agents (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/multica-ai/andrej-karpathy-skills&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cursor&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cursor&quot;&gt;Cursor&lt;/a&gt; Andrej Karpathy&lt;/li&gt;
&lt;li&gt;2026-06-08: Skills for Real Engineers: Composable Agent Workflows by Matt Pocock (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/mattpocock/skills&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Linear&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Linear&quot;&gt;Linear&lt;/a&gt; David Thomas Andrew Hunt Matt Pocock&lt;/li&gt;
&lt;li&gt;2026-06-08: graphify: AI Coding Assistant Skill for Knowledge Graph Generation (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/safishamsi/graphify&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Codebase-Indexing&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Codebase-Indexing&quot;&gt;Codebase Indexing&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Miasma Worm Targets AI Coding Agents via GitHub Repos (Hacker News) · &lt;a href=&quot;https://safedep.io/config-files-that-run-code/&quot; class=&quot;external&quot;&gt;safedep.io&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: 2026 Cursor IDE Guide: Agentic Workflows and Features (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/companies/bothub/articles/1044774/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cursor&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cursor&quot;&gt;Cursor&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/VS-Code&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/VS-Code&quot;&gt;VS Code&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Intuned Launches Tool for Reliable, AI-Maintained Browser Automations (Hacker News) · &lt;a href=&quot;https://intunedhq.com/&quot; class=&quot;external&quot;&gt;intunedhq.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Intuned&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Intuned&quot;&gt;Intuned&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Y-Combinator&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Y-Combinator&quot;&gt;Y Combinator&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Analyzing GitHub Star Inflation and the ‘Harness’ Hype (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045028/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/X&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/X&quot;&gt;X&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/freeCodeCamp&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/freeCodeCamp&quot;&gt;freeCodeCamp&lt;/a&gt; Affaan Matt Pocock Grok&lt;/li&gt;
&lt;li&gt;2026-06-08: Engineering AI for Software Development: Shifting Paradigms for Coding Agents (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045090/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/NIST&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NIST&quot;&gt;NIST&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/ISO&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/ISO&quot;&gt;ISO&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/European-Union&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/European-Union&quot;&gt;European Union&lt;/a&gt; Sculley Martínez-Fernández Kreuzberger Fan Jimenez Yang Srinivasan&lt;/li&gt;
&lt;li&gt;2026-06-08: Moving from Vibe-Coding to Structured AI-Agent Development Teams (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045110/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/MongoDB&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/MongoDB&quot;&gt;MongoDB&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DigitalOcean&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DigitalOcean&quot;&gt;DigitalOcean&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Claude Code Token Optimization Tip: Reducing File Reads for Edits (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045186/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Hacker News: Community-Built AI Tools and Workflows (Hacker News) · &lt;a href=&quot;https://news.ycombinator.com/item?id=48449187&quot; class=&quot;external&quot;&gt;news.ycombinator.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Jira&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Jira&quot;&gt;Jira&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Confluence&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Confluence&quot;&gt;Confluence&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08049&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitLab&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitLab&quot;&gt;GitLab&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Strained Coherence: A Pre-Failure Signal in Coding Agent Execution Trajectories (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07889&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Sonnet-4.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Sonnet-4.6&quot;&gt;Claude Sonnet 4.6&lt;/a&gt; Qwen3.5-35B-A3B Gemma4-31B&lt;/li&gt;
&lt;li&gt;2026-06-09: Evaluating AI Coding Agents on Neuroscience Data Pipelines (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07718&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07591&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.7&quot;&gt;Claude Opus 4.7&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: FrontierCode: Benchmarking for Code Quality over Slop (Latent.Space) · &lt;a href=&quot;https://www.latent.space/p/ainews-frontiercode-benchmarking&quot; class=&quot;external&quot;&gt;latent.space&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/METR&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/METR&quot;&gt;METR&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Latent.Space&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Latent.Space&quot;&gt;Latent.Space&lt;/a&gt; Apple Google Scott Wu Omar Sar0 Graham Neubig Hamel Husain Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-09: Hermes Codex Plugin: Local Memory for Coding Agents via SQLite (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045262/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: The Agentic Era meets Reality: Enterprise Middleware, Agent Workflows, and Reasoning RL (Turing Post) · &lt;a href=&quot;https://turingpost.substack.com/p/a-weekly-digest-the-agentic-era-meets&quot; class=&quot;external&quot;&gt;turingpost.substack.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Snowflake&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Snowflake&quot;&gt;Snowflake&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Databricks&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Databricks&quot;&gt;Databricks&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Salesforce&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Salesforce&quot;&gt;Salesforce&lt;/a&gt; GitHub Mario Rodriguez Raymond Weitekamp&lt;/li&gt;
&lt;li&gt;2026-06-09: Spring Explore Skill for AI-Assisted Development (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/companies/haulmont/articles/1041314/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Amplicode&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Amplicode&quot;&gt;Amplicode&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Spring&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Spring&quot;&gt;Spring&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; Josh Long&lt;/li&gt;
&lt;li&gt;2026-06-09: Agentic Chaining of Hugging Face Spaces via agents.md Discovery (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/mishig/spaces-agents-md&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Ideogram&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Ideogram&quot;&gt;Ideogram&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/VAST-AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/VAST-AI&quot;&gt;VAST AI&lt;/a&gt; Mitchell Hashimoto&lt;/li&gt;
&lt;li&gt;2026-06-09: Analyzing the Claude Code Best Practices Repository (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045510/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; Boris Cherny shanraisshan &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: How I Implemented Connect RPC on Java Using AI Agents (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045542/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/buf&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/buf&quot;&gt;buf&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/dxFeed&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/dxFeed&quot;&gt;dxFeed&lt;/a&gt; Ivan Fedorenkov &lt;a href=&quot;../03-Entities/Models/Claude-3-Opus&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-3-Opus&quot;&gt;Claude 3 Opus&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Coding as the Primary Abstraction for Agentic Model Thinking (‌LLM под капотом) · &lt;a href=&quot;https://abdullin.com/erc/&quot; class=&quot;external&quot;&gt;abdullin.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/BitGN&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/BitGN&quot;&gt;BitGN&lt;/a&gt; Farid Temuri &lt;a href=&quot;../03-Entities/Models/mimo-v2.5-pro&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/mimo-v2.5-pro&quot;&gt;mimo-v2.5-pro&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 (эйай ньюз) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC US Government Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Releases Claude Fable 5 (Hacker News) · &lt;a href=&quot;https://www.anthropic.com/claude/fable&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Amazon-Web-Services&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Amazon-Web-Services&quot;&gt;Amazon Web Services&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google-Cloud&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-Cloud&quot;&gt;Google Cloud&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; GitHub Claude Fable 5 Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 Models (Data Science by ODS.ai 🦜) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Cohere Releases North Mini Code: A 30B Agentic Coding Model (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/CohereLabs/introducing-north-mini-code&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cohere&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cohere&quot;&gt;Cohere&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Artificial-Analysis&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Artificial-Analysis&quot;&gt;Artificial Analysis&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/North-Mini-Code&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/North-Mini-Code&quot;&gt;North Mini Code&lt;/a&gt; Qwen3.5 Gemma 4 Devstral Small 2 Nemotron 3 Super Mistral Small 4 Devstral 2&lt;/li&gt;
&lt;li&gt;2026-06-09: Adding custom model pricing to AgentsView (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/agentsview-custom-model-price/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Simon Willison Wes McKinney &lt;a href=&quot;../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.8&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.8&quot;&gt;Claude Opus 4.8&lt;/a&gt; GPT-4&lt;/li&gt;
&lt;li&gt;2026-06-10: Anthropic Releases Claude Fable 5 and Mythos 5 (‌alphaXiv) · &lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/US-Government&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/US-Government&quot;&gt;US Government&lt;/a&gt; Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-the-ai-coding-topic&quot;&gt;What is the AI Coding topic?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-the-ai-coding-topic&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;AI Coding covers tools and workflows where models assist with reading, writing, testing, and reviewing software. GROUNDING tracks coding agents, IDE assistants, repository context, evals, and engineering tradeoffs.&lt;/p&gt;
&lt;h3 id=&quot;what-does-the-ai-coding-topic-page-track&quot;&gt;What does the AI Coding topic page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-the-ai-coding-topic-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Key developments the GROUNDING radar mapped to AI Coding, updated through 2026-06-10.&lt;/p&gt;
&lt;h3 id=&quot;how-current-is-this-page&quot;&gt;How current is this page?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#how-current-is-this-page&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;The most recent AI Coding development listed here is dated 2026-06-10; the radar refreshes hourly.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Agents</title>
    <link>https://grounding.fyi/02-Topics/Agents</link>
    <guid>https://grounding.fyi/02-Topics/Agents</guid>
    <description><![CDATA[ &lt;p&gt;AI agents are LLM-driven systems that can plan, call tools, inspect results, and iterate toward a goal. GROUNDING tracks agent architectures, benchmarks, tool use, browser agents, coding agents, and reliability patterns.&lt;/p&gt;
&lt;h2 id=&quot;key-developments&quot;&gt;Key Developments&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#key-developments&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-08: Hacker News: Community-Built AI Tools and Workflows (Hacker News) · &lt;a href=&quot;https://news.ycombinator.com/item?id=48449187&quot; class=&quot;external&quot;&gt;news.ycombinator.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Jira&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Jira&quot;&gt;Jira&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Confluence&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Confluence&quot;&gt;Confluence&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: PaperMentor: A Human-Centered Multi-Agent Writing Tutor for Overleaf (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08857&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Overleaf&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Overleaf&quot;&gt;Overleaf&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-5.2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5.2&quot;&gt;GPT-5.2&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: REFLECT: Intervention-Supported Error Attribution for Silent Failures in LLM Agent Traces (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.09071&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Co-Evolving Skill Generation and Policy Optimization (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08755&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: The Token Not Taken: Sampling, State, and the Variability of AI Agent Outputs (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08998&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: From Holistic Evaluation to Structured Criteria: Rubrics Across the Evolving LLM Landscape (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08625&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Semantic Quorum Assurance: Collective Certification for Non-Deterministic AI Infrastructure (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08021&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Oversight Has a Capacity: Calibrating Agent Guards to a Subjective, Fatiguing Human (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08919&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08348&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DeepSeek&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DeepSeek&quot;&gt;DeepSeek&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DeepSeek-V4-Flash&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeepSeek-V4-Flash&quot;&gt;DeepSeek V4 Flash&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: ConMem: Structured Memory-Guided Adaptation in Training-Free Multi-Agent Systems (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08702&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Scaffold Effects on GAIA: A Controlled Comparison (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08529&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.7&quot;&gt;Claude Opus 4.7&lt;/a&gt; Claude Sonnet 4.6 Claude Haiku 4.5 Gemini 3.1 Pro Preview GPT 5.5&lt;/li&gt;
&lt;li&gt;2026-06-09: Benchmarking Open-Ended Multi-Agent Coordination in Language Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08340&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemini-3.1-Pro-High&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini-3.1-Pro-High&quot;&gt;Gemini-3.1-Pro-High&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-5.4-High&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5.4-High&quot;&gt;GPT-5.4-High&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Customer-Agent: Overcoming Context Limitations in Ultra-Long Shopping Trajectories via Tool-Augmented Agents and RLVR (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07995&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: To Nuke or Not to Nuke: Evaluating Ethical Reasoning in Agentic Decision-Making (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08310&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: PACE: Anytime-Valid Acceptance Tests for Self-Evolving Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08106&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5&quot;&gt;Qwen2.5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08049&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitLab&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitLab&quot;&gt;GitLab&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Strained Coherence: A Pre-Failure Signal in Coding Agent Execution Trajectories (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07889&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Sonnet-4.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Sonnet-4.6&quot;&gt;Claude Sonnet 4.6&lt;/a&gt; Qwen3.5-35B-A3B Gemma4-31B&lt;/li&gt;
&lt;li&gt;2026-06-09: Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08151&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Opus&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Opus&quot;&gt;Opus&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen&quot;&gt;Qwen&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Codex&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Codex&quot;&gt;Codex&lt;/a&gt; GPT 5.5 Qwen-QLoRA Qwen3.6-Plus Gemini-3.1-Pro-High Qwen3.5-122B-A10B&lt;/li&gt;
&lt;li&gt;2026-06-09: AgentTrust: A Self-Improving Trust Layer for AI-Agent Actions (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08539&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Where Instruction Hierarchy Breaks: Diagnosing and Repairing Failures in Reasoning Language Models (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07808&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Gemma-4-31B-IT Qwen3.6-35B-A3B Claude Sonnet 4.6 GPT-5.3&lt;/li&gt;
&lt;li&gt;2026-06-09: Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent Reasoning (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07720&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-2&quot;&gt;GPT-2&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Principled Agent Debate: Adversarial Arbitration for Sycophancy Reduction in Large Language Models (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07532&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: SciTrace: Trajectory-Aware Safety Reasoning for Scientific Discovery Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08234&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: MemoPilot: Training Memory Updates for LLM Agents with Reinforcement Learning (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08656&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DeepSeek-V3.2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeepSeek-V3.2&quot;&gt;DeepSeek-V3.2&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Syll: Open-Source Personal Automation with Cross-Surface Execution (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07594&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../02-Concepts/MCP&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/MCP&quot;&gt;MCP&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Adobe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Adobe&quot;&gt;Adobe&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: MemToolAgent: Enhancing LLM Agent Tool Use Through Memory Management (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07909&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; Danilo Neves Ribeiro&lt;/li&gt;
&lt;li&gt;2026-06-09: Contract2Tool: Learning Preconditions and Effects for Reliable Tool-Augmented LLM Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07904&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Evaluating AI Coding Agents on Neuroscience Data Pipelines (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07718&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07591&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.7&quot;&gt;Claude Opus 4.7&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Rosetta Memory: Adaptive Memory for Cross-LLM Agents (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07711&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Beyond Agent Architecture: Execution Assumptions and Reproducibility in LLM-Based Trading Systems (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08285&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/alphaXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/alphaXiv&quot;&gt;alphaXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/CatalyzeX&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CatalyzeX&quot;&gt;CatalyzeX&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DagsHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DagsHub&quot;&gt;DagsHub&lt;/a&gt; Gotit.pub Hugging Face ScienceCast&lt;/li&gt;
&lt;li&gt;2026-06-09: The Cold-Start Safety Gap in LLM Agents (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07867&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Online Agent-as-a-Judge: Situation-Generating Evaluation for Interactive Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08200&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Building a Custom Billing System for Multi-tenant AI Agents (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/companies/llmstart/articles/1039474/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/LLMStart.ru&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/LLMStart.ru&quot;&gt;LLMStart.ru&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/1C&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/1C&quot;&gt;1C&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Ayton&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Ayton&quot;&gt;Ayton&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenRouter&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenRouter&quot;&gt;OpenRouter&lt;/a&gt; LangChain Sergey Smirnov Gemini Pro Gemini Flash&lt;/li&gt;
&lt;li&gt;2026-06-09: Hermes Codex Plugin: Local Memory for Coding Agents via SQLite (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045262/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Building a Practical Harness for Coding Agents: A Real-World Perspective (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045348/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Vercel&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Vercel&quot;&gt;Vercel&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Redis-Ltd.&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Redis-Ltd.&quot;&gt;Redis Ltd.&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: QA Test-Case Automation Using n8n and Claude (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/companies/banki/articles/1045336/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Banki.ru&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Banki.ru&quot;&gt;Banki.ru&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Atlassian&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Atlassian&quot;&gt;Atlassian&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Qameta-Software&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Qameta-Software&quot;&gt;Qameta Software&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; n8n Kostya Claude Sonnet 4.6&lt;/li&gt;
&lt;li&gt;2026-06-09: The Agentic Era meets Reality: Enterprise Middleware, Agent Workflows, and Reasoning RL (Turing Post) · &lt;a href=&quot;https://turingpost.substack.com/p/a-weekly-digest-the-agentic-era-meets&quot; class=&quot;external&quot;&gt;turingpost.substack.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Snowflake&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Snowflake&quot;&gt;Snowflake&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Databricks&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Databricks&quot;&gt;Databricks&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Salesforce&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Salesforce&quot;&gt;Salesforce&lt;/a&gt; GitHub Mario Rodriguez Raymond Weitekamp&lt;/li&gt;
&lt;li&gt;2026-06-09: Agentic Chaining of Hugging Face Spaces via agents.md Discovery (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/mishig/spaces-agents-md&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Ideogram&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Ideogram&quot;&gt;Ideogram&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/VAST-AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/VAST-AI&quot;&gt;VAST AI&lt;/a&gt; Mitchell Hashimoto&lt;/li&gt;
&lt;li&gt;2026-06-09: Analyzing the Claude Code Best Practices Repository (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045510/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; Boris Cherny shanraisshan &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Coding as the Primary Abstraction for Agentic Model Thinking (‌LLM под капотом) · &lt;a href=&quot;https://abdullin.com/erc/&quot; class=&quot;external&quot;&gt;abdullin.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/BitGN&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/BitGN&quot;&gt;BitGN&lt;/a&gt; Farid Temuri &lt;a href=&quot;../03-Entities/Models/mimo-v2.5-pro&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/mimo-v2.5-pro&quot;&gt;mimo-v2.5-pro&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Is Grep All You Need? How Agent Harnesses Reshape Agentic Search (Hacker News) · &lt;a href=&quot;https://arxiv.org/abs/2605.15184&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Can LLMs Beat Classical Hyperparameter Optimization Algorithms? (Hacker News) · &lt;a href=&quot;https://arxiv.org/abs/2603.24647&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; Fabio Ferreira &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.6&quot;&gt;Claude Opus 4.6&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemini-3.1-Pro-Preview&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini-3.1-Pro-Preview&quot;&gt;Gemini 3.1 Pro Preview&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Navigating On-Premises LLM Deployment Challenges (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045608/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: When AI Makes Confident Errors in Critical Systems (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045636/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/CrowdStrike&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CrowdStrike&quot;&gt;CrowdStrike&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Delta-Airlines&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Delta-Airlines&quot;&gt;Delta Airlines&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/AbuseIPDB&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/AbuseIPDB&quot;&gt;AbuseIPDB&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Wazuh&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Wazuh&quot;&gt;Wazuh&lt;/a&gt; Claude Haiku 4.5 Claude Sonnet 4.6&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Releases Claude Fable 5 (Hacker News) · &lt;a href=&quot;https://www.anthropic.com/claude/fable&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Amazon-Web-Services&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Amazon-Web-Services&quot;&gt;Amazon Web Services&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google-Cloud&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-Cloud&quot;&gt;Google Cloud&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; GitHub Claude Fable 5 Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-09: Transitioning from SQL-prompts to multi-agent systems for team operations (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045652/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OneCell&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OneCell&quot;&gt;OneCell&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/AI-Talent-Hub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/AI-Talent-Hub&quot;&gt;AI Talent Hub&lt;/a&gt; Darya Voronkina&lt;/li&gt;
&lt;li&gt;2026-06-09: Cohere Releases North Mini Code: A 30B Agentic Coding Model (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/CohereLabs/introducing-north-mini-code&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cohere&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cohere&quot;&gt;Cohere&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Artificial-Analysis&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Artificial-Analysis&quot;&gt;Artificial Analysis&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/North-Mini-Code&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/North-Mini-Code&quot;&gt;North Mini Code&lt;/a&gt; Qwen3.5 Gemma 4 Devstral Small 2 Nemotron 3 Super Mistral Small 4 Devstral 2&lt;/li&gt;
&lt;li&gt;2026-06-10: Nucleus: A security-hardened, Nix-native container runtime (Hacker News) · &lt;a href=&quot;https://github.com/sig-id/nucleus&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/NixOS&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NixOS&quot;&gt;NixOS&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-10: Anthropic Releases Claude Fable 5 and Mythos 5 (‌alphaXiv) · &lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/US-Government&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/US-Government&quot;&gt;US Government&lt;/a&gt; Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-the-agents-topic&quot;&gt;What is the Agents topic?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-the-agents-topic&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;AI agents are LLM-driven systems that can plan, call tools, inspect results, and iterate toward a goal. GROUNDING tracks agent architectures, benchmarks, tool use, browser agents, coding agents, and reliability patterns.&lt;/p&gt;
&lt;h3 id=&quot;what-does-the-agents-topic-page-track&quot;&gt;What does the Agents topic page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-the-agents-topic-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Key developments the GROUNDING radar mapped to Agents, updated through 2026-06-10.&lt;/p&gt;
&lt;h3 id=&quot;how-current-is-this-page&quot;&gt;How current is this page?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#how-current-is-this-page&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;The most recent Agents development listed here is dated 2026-06-10; the radar refreshes hourly.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>LLMs</title>
    <link>https://grounding.fyi/02-Topics/LLMs</link>
    <guid>https://grounding.fyi/02-Topics/LLMs</guid>
    <description><![CDATA[ &lt;p&gt;LLMs, or large language models, are neural models that generate and transform language, code, and multimodal content. GROUNDING tracks model releases, evaluations, inference, tooling, and builder impact.&lt;/p&gt;
&lt;h2 id=&quot;key-developments&quot;&gt;Key Developments&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#key-developments&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-09: Support Vector Rubrics: Closing the Gap Between Self-Generated and Human Rubrics (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08077&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Benchmarking Open-Ended Multi-Agent Coordination in Language Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08340&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemini-3.1-Pro-High&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini-3.1-Pro-High&quot;&gt;Gemini-3.1-Pro-High&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-5.4-High&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5.4-High&quot;&gt;GPT-5.4-High&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Customer-Agent: Overcoming Context Limitations in Ultra-Long Shopping Trajectories via Tool-Augmented Agents and RLVR (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07995&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: To Nuke or Not to Nuke: Evaluating Ethical Reasoning in Agentic Decision-Making (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08310&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Beyond English Benchmarks: Clinical LLM Evaluation in Brazilian Portuguese (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07853&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/SciELO&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/SciELO&quot;&gt;SciELO&lt;/a&gt; Giordano De Pinho Souza &lt;a href=&quot;../03-Entities/Models/MedGemma-27B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/MedGemma-27B&quot;&gt;MedGemma-27B&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Sabiá-4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Sabiá-4&quot;&gt;Sabiá-4&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DeepSeek-R1&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeepSeek-R1&quot;&gt;DeepSeek R1&lt;/a&gt; o3-mini&lt;/li&gt;
&lt;li&gt;2026-06-09: Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07616&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: PACE: Anytime-Valid Acceptance Tests for Self-Evolving Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08106&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5&quot;&gt;Qwen2.5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: SLMJury: Framework for Small Language Model Evaluation (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07810&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Phi-4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Phi-4&quot;&gt;Phi-4&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Scaling Down: Efficient Merchant Information Extraction with Small Fine-Tuned Models (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08051&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Databricks&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Databricks&quot;&gt;Databricks&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemma-3&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemma-3&quot;&gt;Gemma 3&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen-3.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen-3.5&quot;&gt;Qwen-3.5&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Aya&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Aya&quot;&gt;Aya&lt;/a&gt; Llama 3.1&lt;/li&gt;
&lt;li&gt;2026-06-09: SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08049&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitLab&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitLab&quot;&gt;GitLab&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Unlocking Latent Value: Taxonomy-Guided Recovery of High-Performing Data from Low-Tier Web Corpora (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07778&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5-32B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5-32B&quot;&gt;Qwen2.5 32B&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/E5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/E5&quot;&gt;E5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Strained Coherence: A Pre-Failure Signal in Coding Agent Execution Trajectories (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07889&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Sonnet-4.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Sonnet-4.6&quot;&gt;Claude Sonnet 4.6&lt;/a&gt; Qwen3.5-35B-A3B Gemma4-31B&lt;/li&gt;
&lt;li&gt;2026-06-09: Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07936&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08151&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Opus&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Opus&quot;&gt;Opus&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen&quot;&gt;Qwen&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Codex&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Codex&quot;&gt;Codex&lt;/a&gt; GPT 5.5 Qwen-QLoRA Qwen3.6-Plus Gemini-3.1-Pro-High Qwen3.5-122B-A10B&lt;/li&gt;
&lt;li&gt;2026-06-09: Multilingual Refusal Alignment for Safer Large Language Models (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07535&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; Aleksandra Krasnodębska&lt;/li&gt;
&lt;li&gt;2026-06-09: Where Instruction Hierarchy Breaks: Diagnosing and Repairing Failures in Reasoning Language Models (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07808&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Gemma-4-31B-IT Qwen3.6-35B-A3B Claude Sonnet 4.6 GPT-5.3&lt;/li&gt;
&lt;li&gt;2026-06-09: Evaluating Hallucinations in Domain-Adapted Large Language Models (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07521&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Lamini&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Lamini&quot;&gt;Lamini&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/LLaMA-2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/LLaMA-2&quot;&gt;LLaMA-2&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: TinyJudge: Improving LLM Instruction Following via Lightweight Specialist Ensembles (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07520&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Principled Agent Debate: Adversarial Arbitration for Sycophancy Reduction in Large Language Models (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07532&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: BEACON: Behavioral Entropy Aggregation for Cross-Model Hallucination Detection (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07528&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; Shoaib Sadiq Salehmohamed&lt;/li&gt;
&lt;li&gt;2026-06-09: Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07726&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; Florian E. Dorner&lt;/li&gt;
&lt;li&gt;2026-06-09: SurgiQ: A Large-Scale Multi-Domain Benchmark for Evaluating Surgical Understanding in Large Language Models (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08071&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5&quot;&gt;Qwen2.5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: The Routing Plateau: Understanding and Breaking the Accuracy Limits of LLM Routers (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07587&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: The AI Epistemic Deference Index: A Continuous Measure of Sycophancy (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07897&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; Paul de Font-Reaulx &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Grok&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Grok&quot;&gt;Grok&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemini&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini&quot;&gt;Gemini&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Beyond Pass Rate: A Multilingual, Execution-Grounded Evaluation of Open Code LLMs (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08840&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/LeetCode&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/LeetCode&quot;&gt;LeetCode&lt;/a&gt; Sayed Erfan Arefin &lt;a href=&quot;../03-Entities/Models/Yi-Coder-9B-Chat&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Yi-Coder-9B-Chat&quot;&gt;Yi-Coder-9B-Chat&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5-Coder-14B-Instruct&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5-Coder-14B-Instruct&quot;&gt;Qwen2.5-Coder-14B-Instruct&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemma-2-27B-IT&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemma-2-27B-IT&quot;&gt;Gemma-2-27B-IT&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Stress-testing medical large language models reveals latent safety pathology beyond benchmark accuracy (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07929&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: When Behavioral Safety Evaluation Fails: A Representation-Level Perspective (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08044&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Evaluating AI Coding Agents on Neuroscience Data Pipelines (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07718&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Summarization is Not Dead Yet (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08000&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07591&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.7&quot;&gt;Claude Opus 4.7&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07874&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Trait-space Monitoring for Emergent Misalignment During Supervised Finetuning (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07631&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Honest Evaluation and Benchmark Contamination (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07608&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/NVIDIA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NVIDIA&quot;&gt;NVIDIA&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Whisper-large-v3&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Whisper-large-v3&quot;&gt;Whisper large-v3&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Phi-4-multimodal&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Phi-4-multimodal&quot;&gt;Phi-4-multimodal&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Beyond Agent Architecture: Execution Assumptions and Reproducibility in LLM-Based Trading Systems (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08285&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/alphaXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/alphaXiv&quot;&gt;alphaXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/CatalyzeX&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CatalyzeX&quot;&gt;CatalyzeX&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DagsHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DagsHub&quot;&gt;DagsHub&lt;/a&gt; Gotit.pub Hugging Face ScienceCast&lt;/li&gt;
&lt;li&gt;2026-06-09: Online Agent-as-a-Judge: Situation-Generating Evaluation for Interactive Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08200&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Hacking Generative Perplexity: A Critique of Unconditional Text Evaluation (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08417&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/gpt2-large&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/gpt2-large&quot;&gt;gpt2-large&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Building Comparative Motivation Profiles with Instrumental Interventions (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08243&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Llama-3.1-70B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Llama-3.1-70B&quot;&gt;Llama-3.1-70B&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Llama-3.1-405B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Llama-3.1-405B&quot;&gt;Llama-3.1-405B&lt;/a&gt; Qwen-2.5-72B&lt;/li&gt;
&lt;li&gt;2026-06-09: FrontierCode: Benchmarking for Code Quality over Slop (Latent.Space) · &lt;a href=&quot;https://www.latent.space/p/ainews-frontiercode-benchmarking&quot; class=&quot;external&quot;&gt;latent.space&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/METR&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/METR&quot;&gt;METR&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Latent.Space&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Latent.Space&quot;&gt;Latent.Space&lt;/a&gt; Apple Google Scott Wu Omar Sar0 Graham Neubig Hamel Husain Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-09: Building a Custom Billing System for Multi-tenant AI Agents (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/companies/llmstart/articles/1039474/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/LLMStart.ru&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/LLMStart.ru&quot;&gt;LLMStart.ru&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/1C&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/1C&quot;&gt;1C&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Ayton&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Ayton&quot;&gt;Ayton&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenRouter&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenRouter&quot;&gt;OpenRouter&lt;/a&gt; LangChain Sergey Smirnov Gemini Pro Gemini Flash&lt;/li&gt;
&lt;li&gt;2026-06-09: Building a Practical Harness for Coding Agents: A Real-World Perspective (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045348/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Vercel&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Vercel&quot;&gt;Vercel&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Redis-Ltd.&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Redis-Ltd.&quot;&gt;Redis Ltd.&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Exploiting Tiny LLMs: Manipulating Persona and Safety via Token Sensitivity (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045350/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/vast.ai&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/vast.ai&quot;&gt;vast.ai&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen3.5-0.8B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen3.5-0.8B&quot;&gt;Qwen3.5-0.8B&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Spring Explore Skill for AI-Assisted Development (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/companies/haulmont/articles/1041314/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Amplicode&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Amplicode&quot;&gt;Amplicode&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Spring&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Spring&quot;&gt;Spring&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; Josh Long&lt;/li&gt;
&lt;li&gt;2026-06-09: Analyzing the Claude Code Best Practices Repository (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045510/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; Boris Cherny shanraisshan &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Building an Advanced RAG Pipeline for Corporate AI Assistants (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/companies/chestnyznak/articles/1045460/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Confluence&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Confluence&quot;&gt;Confluence&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Jira&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Jira&quot;&gt;Jira&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitLab&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitLab&quot;&gt;GitLab&lt;/a&gt; Саша&lt;/li&gt;
&lt;li&gt;2026-06-09: Data Scientist’s Revenge: Why Data Science Remains Critical in the LLM Era (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/companies/otus/articles/1043824/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Harvard-Business-Review&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Harvard-Business-Review&quot;&gt;Harvard Business Review&lt;/a&gt; JosH100 Andrej Karpathy&lt;/li&gt;
&lt;li&gt;2026-06-09: Navigating On-Premises LLM Deployment Challenges (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045608/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 (эйай ньюз) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC US Government Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 Models (Data Science by ODS.ai 🦜) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: FlashMemory-DeepSeek-V4: Lightning Index Ultra-Long Context via Lookahead Sparse Attention (alphaXiv) · &lt;a href=&quot;https://twitter.com/askalphaxiv/status/2064458077039174052&quot; class=&quot;external&quot;&gt;twitter.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DeepSeek&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DeepSeek&quot;&gt;DeepSeek&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DeepSeek-V4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeepSeek-V4&quot;&gt;DeepSeek V4&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-10: Anthropic Releases Claude Fable 5 and Mythos 5 (‌alphaXiv) · &lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/US-Government&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/US-Government&quot;&gt;US Government&lt;/a&gt; Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-the-llms-topic&quot;&gt;What is the LLMs topic?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-the-llms-topic&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;LLMs, or large language models, are neural models that generate and transform language, code, and multimodal content. GROUNDING tracks model releases, evaluations, inference, tooling, and builder impact.&lt;/p&gt;
&lt;h3 id=&quot;what-does-the-llms-topic-page-track&quot;&gt;What does the LLMs topic page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-the-llms-topic-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Key developments the GROUNDING radar mapped to LLMs, updated through 2026-06-10.&lt;/p&gt;
&lt;h3 id=&quot;how-current-is-this-page&quot;&gt;How current is this page?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#how-current-is-this-page&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;The most recent LLMs development listed here is dated 2026-06-10; the radar refreshes hourly.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Anthropic</title>
    <link>https://grounding.fyi/03-Entities/Companies/Anthropic</link>
    <guid>https://grounding.fyi/03-Entities/Companies/Anthropic</guid>
    <description><![CDATA[ &lt;p&gt;Anthropic is an AI safety and product company behind Claude. GROUNDING tracks Anthropic model updates, agentic coding workflows, safety research, evaluations, and developer-facing releases.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-07: Claude-Mem: Persistent Context and Memory for Agentic Workflows (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/thedotmack/claude-mem&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: Her: A Forensic Detective for Claude Code Sessions (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/build-small-hackathon/her-blog&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Nemotron-Mini-4B-Instruct&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Nemotron-Mini-4B-Instruct&quot;&gt;Nemotron-Mini-4B-Instruct&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: Last Week in AI: Soccer Benchmarks, Microsoft’s MAI Models, and Enterprise Shifts (TheSequence) · &lt;a href=&quot;https://thesequence.substack.com/p/the-sequence-radar-873-last-week&quot; class=&quot;external&quot;&gt;thesequence.substack.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/LayerLens&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/LayerLens&quot;&gt;LayerLens&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/NVIDIA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NVIDIA&quot;&gt;NVIDIA&lt;/a&gt; DeepSeek Nemotron 3 Ultra Cosmos&lt;/li&gt;
&lt;li&gt;2026-06-07: Migrating a Personal AI Agent from OpenClaw to Hermes: Lessons Learned (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044574/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Nous-Research&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Nous-Research&quot;&gt;Nous Research&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenRouter&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenRouter&quot;&gt;OpenRouter&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: LLMs are eroding my software engineering career and I don’t know what to do (Hacker News) · &lt;a href=&quot;https://human-in-the-loop.bearblog.dev/llms-are-eroding-my-software-engineering-career-and-i-dont-know-what-to-do/&quot; class=&quot;external&quot;&gt;human-in-the-loop.bearblog.dev&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: The Economic Sustainability of Full-Agentic Coding (Hacker News) · &lt;a href=&quot;https://ea.rna.nl/2026/06/07/anthropic-openai-may-be-spending-more-than-1000-for-every-100-you-pay-them/&quot; class=&quot;external&quot;&gt;ea.rna.nl&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Opus-4.7&quot;&gt;Opus 4.7&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Opus-4.8&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Opus-4.8&quot;&gt;Opus 4.8&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: Anthropic Users Request Official Claude Desktop Build for Linux (Hacker News) · &lt;a href=&quot;https://github.com/anthropics/claude-code/issues/65697&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Apple&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Apple&quot;&gt;Apple&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Pluto-Security&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Pluto-Security&quot;&gt;Pluto Security&lt;/a&gt; Simon Willison&lt;/li&gt;
&lt;li&gt;2026-06-07: Silurus/ooxml: Pixel-faithful Office document renderer for the browser (Hacker News) · &lt;a href=&quot;https://github.com/yukiyokotani/office-open-xml-viewer&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: My Automated Doubt Development Process (Hacker News) · &lt;a href=&quot;https://www.alexself.dev/blog/automated-doubt&quot; class=&quot;external&quot;&gt;alexself.dev&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hacker-News&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hacker-News&quot;&gt;Hacker News&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: Understanding the Fundamentals of LLM Tokenization (Hacker News) · &lt;a href=&quot;https://bearisland.dev/posts/tokens-and-tokenization/&quot; class=&quot;external&quot;&gt;bearisland.dev&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Chunking&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Chunking&quot;&gt;Chunking&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/GPT-4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-4&quot;&gt;GPT-4&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/LLaMA-3&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/LLaMA-3&quot;&gt;LLaMA-3&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: ninoxAI: Open-Source Read-Only AI SRE for Alert Management (Hacker News) · &lt;a href=&quot;https://github.com/ninoxAI/nightwatch&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Checkmk&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Checkmk&quot;&gt;Checkmk&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Prometheus&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Prometheus&quot;&gt;Prometheus&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Icinga2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Icinga2&quot;&gt;Icinga2&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Zabbix&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Zabbix&quot;&gt;Zabbix&lt;/a&gt; Docker Kubernetes AWS Grafana GitHub OpenAI Mistral Ollama ninoxAI&lt;/li&gt;
&lt;li&gt;2026-06-07: VibeOS: An AI-native operating system (Hacker News) · &lt;a href=&quot;https://vibeos.sh/&quot; class=&quot;external&quot;&gt;vibeos.sh&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/MCP&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/MCP&quot;&gt;MCP&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: datasette-agent-edit 0.1a0 (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/7/datasette-agent-edit/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Simon Willison &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-4.8&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.8&quot;&gt;Claude Opus 4.8&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2507.06419&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/PKU&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/PKU&quot;&gt;PKU&lt;/a&gt; Pankayaraj Pathmanathan&lt;/li&gt;
&lt;li&gt;2026-06-08: Explain Like I’m 5 or Whatever I Choose: Evaluating the Interactive Potential of Language Model Responses (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.06788&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/DeepSeek&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DeepSeek&quot;&gt;DeepSeek&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/GPT-5.1&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5.1&quot;&gt;GPT-5.1&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/GPT-5-mini&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5-mini&quot;&gt;GPT-5-mini&lt;/a&gt; Claude Sonnet 4.5 DeepSeek-V3.1&lt;/li&gt;
&lt;li&gt;2026-06-08: Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07462&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.7&quot;&gt;Claude Opus 4.7&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Economical AI: 12 Ways to Reduce Token Costs (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044482/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenRouter&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenRouter&quot;&gt;OpenRouter&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/1C&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/1C&quot;&gt;1C&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-3-Opus&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-3-Opus&quot;&gt;Claude 3 Opus&lt;/a&gt; DeepSeek V4 GPT 5.5 high Composer 2.5&lt;/li&gt;
&lt;li&gt;2026-06-08: Anthropic’s AI Code Generation and the Blind Spots of Automated Verification (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044850/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/METR&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/METR&quot;&gt;METR&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Andrej Karpathy-Inspired Coding Guidelines for Agents (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/multica-ai/andrej-karpathy-skills&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cursor&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cursor&quot;&gt;Cursor&lt;/a&gt; Andrej Karpathy&lt;/li&gt;
&lt;li&gt;2026-06-08: CC Switch: Unified Desktop Manager for AI Tools (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/farion1231/cc-switch&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/MCP&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/MCP&quot;&gt;MCP&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/NVIDIA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NVIDIA&quot;&gt;NVIDIA&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Dropbox&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Dropbox&quot;&gt;Dropbox&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; Apple MiniMax-M2.7&lt;/li&gt;
&lt;li&gt;2026-06-08: graphify: AI Coding Assistant Skill for Knowledge Graph Generation (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/safishamsi/graphify&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Codebase-Indexing&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Codebase-Indexing&quot;&gt;Codebase Indexing&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Miasma Worm Targets AI Coding Agents via GitHub Repos (Hacker News) · &lt;a href=&quot;https://safedep.io/config-files-that-run-code/&quot; class=&quot;external&quot;&gt;safedep.io&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Intuned Launches Tool for Reliable, AI-Maintained Browser Automations (Hacker News) · &lt;a href=&quot;https://intunedhq.com/&quot; class=&quot;external&quot;&gt;intunedhq.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Intuned&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Intuned&quot;&gt;Intuned&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Y-Combinator&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Y-Combinator&quot;&gt;Y Combinator&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Analyzing GitHub Star Inflation and the ‘Harness’ Hype (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045028/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/X&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/X&quot;&gt;X&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/freeCodeCamp&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/freeCodeCamp&quot;&gt;freeCodeCamp&lt;/a&gt; Affaan Matt Pocock &lt;a href=&quot;../../03-Entities/Models/Grok&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Grok&quot;&gt;Grok&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Moving from Vibe-Coding to Structured AI-Agent Development Teams (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045110/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/MCP&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/MCP&quot;&gt;MCP&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/MongoDB&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/MongoDB&quot;&gt;MongoDB&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/DigitalOcean&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DigitalOcean&quot;&gt;DigitalOcean&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Claude Code Token Optimization Tip: Reducing File Reads for Edits (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045186/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Why has AI advanced faster in coding than in biology? (‌Anthropic) · &lt;a href=&quot;https://www.anthropic.com/research/agents-in-biology&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Hacker News: Community-Built AI Tools and Workflows (Hacker News) · &lt;a href=&quot;https://news.ycombinator.com/item?id=48449187&quot; class=&quot;external&quot;&gt;news.ycombinator.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Jira&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Jira&quot;&gt;Jira&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Confluence&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Confluence&quot;&gt;Confluence&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Command Center: An agentic coding environment for quality-focused development (Hacker News) · &lt;a href=&quot;https://www.cc.dev/&quot; class=&quot;external&quot;&gt;cc.dev&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Romanark&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Romanark&quot;&gt;Romanark&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Amazon&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Amazon&quot;&gt;Amazon&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Gemini&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini&quot;&gt;Gemini&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Scaffold Effects on GAIA: A Controlled Comparison (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08529&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.7&quot;&gt;Claude Opus 4.7&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Sonnet-4.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Sonnet-4.6&quot;&gt;Claude Sonnet 4.6&lt;/a&gt; Claude Haiku 4.5 Gemini 3.1 Pro Preview GPT 5.5&lt;/li&gt;
&lt;li&gt;2026-06-09: Strained Coherence: A Pre-Failure Signal in Coding Agent Execution Trajectories (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07889&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Sonnet-4.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Sonnet-4.6&quot;&gt;Claude Sonnet 4.6&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Qwen3.5-35B-A3B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen3.5-35B-A3B&quot;&gt;Qwen3.5-35B-A3B&lt;/a&gt; Gemma4-31B&lt;/li&gt;
&lt;li&gt;2026-06-09: Where Instruction Hierarchy Breaks: Diagnosing and Repairing Failures in Reasoning Language Models (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07808&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Gemma-4-31B-IT&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemma-4-31B-IT&quot;&gt;Gemma-4-31B-IT&lt;/a&gt; Qwen3.6-35B-A3B Claude Sonnet 4.6 GPT-5.3&lt;/li&gt;
&lt;li&gt;2026-06-09: Adversarial Fragility of Activation Steering in LLMs (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07696&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07591&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.7&quot;&gt;Claude Opus 4.7&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Building a Practical Harness for Coding Agents: A Real-World Perspective (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045348/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Vercel&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Vercel&quot;&gt;Vercel&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Redis-Ltd.&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Redis-Ltd.&quot;&gt;Redis Ltd.&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: redb.Route 3.1.0 Adds Native LLM and Process Execution Transports (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045356/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Apache&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Apache&quot;&gt;Apache&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Groq&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Groq&quot;&gt;Groq&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cerebras&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cerebras&quot;&gt;Cerebras&lt;/a&gt; OpenRouter Google Microsoft Mistral AI Together AI Hugging Face DeepSeek Ollama LM Studio Claude Llama-3.3-70b Claude Haiku 4.5&lt;/li&gt;
&lt;li&gt;2026-06-09: QA Test-Case Automation Using n8n and Claude (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/companies/banki/articles/1045336/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Banki.ru&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Banki.ru&quot;&gt;Banki.ru&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Atlassian&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Atlassian&quot;&gt;Atlassian&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Qameta-Software&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Qameta-Software&quot;&gt;Qameta Software&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/n8n&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/n8n&quot;&gt;n8n&lt;/a&gt; Kostya Claude Sonnet 4.6&lt;/li&gt;
&lt;li&gt;2026-06-09: Spring Explore Skill for AI-Assisted Development (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/companies/haulmont/articles/1041314/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Amplicode&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Amplicode&quot;&gt;Amplicode&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Spring&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Spring&quot;&gt;Spring&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; Josh Long&lt;/li&gt;
&lt;li&gt;2026-06-09: Analyzing the Claude Code Best Practices Repository (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045510/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; Boris Cherny shanraisshan &lt;a href=&quot;../../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Can LLMs Beat Classical Hyperparameter Optimization Algorithms? (Hacker News) · &lt;a href=&quot;https://arxiv.org/abs/2603.24647&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; Fabio Ferreira &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-4.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.6&quot;&gt;Claude Opus 4.6&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Gemini-3.1-Pro-Preview&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini-3.1-Pro-Preview&quot;&gt;Gemini 3.1 Pro Preview&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 (эйай ньюз) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/IMC&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/IMC&quot;&gt;IMC&lt;/a&gt; US Government Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Releases Claude Fable 5 (Hacker News) · &lt;a href=&quot;https://www.anthropic.com/claude/fable&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Amazon-Web-Services&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Amazon-Web-Services&quot;&gt;Amazon Web Services&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google-Cloud&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-Cloud&quot;&gt;Google Cloud&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; Claude Fable 5 Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 Models (Data Science by ODS.ai 🦜) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/IMC&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/IMC&quot;&gt;IMC&lt;/a&gt; Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Fable 5 Benchmark Performance on Business Tasks (LLM под капотом) · &lt;a href=&quot;https://abdullin.com/llm-benchmarks&quot; class=&quot;external&quot;&gt;abdullin.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; AigizK &lt;a href=&quot;../../03-Entities/Models/Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Fable-5&quot;&gt;Fable 5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Adding custom model pricing to AgentsView (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/agentsview-custom-model-price/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Simon Willison Wes McKinney &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-4.8&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.8&quot;&gt;Claude Opus 4.8&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/GPT-4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-4&quot;&gt;GPT-4&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Grit: A Rust-based Git Reimplementation Built Using Agents (Hacker News) · &lt;a href=&quot;https://blog.gitbutler.com/true-grit&quot; class=&quot;external&quot;&gt;blog.gitbutler.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/GitButler&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitButler&quot;&gt;GitButler&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic’s silent interventions in Fable 5 pose supply chain risks to developers (Hacker News) · &lt;a href=&quot;https://jonready.com/blog/posts/claude-fable5-is-allowed-to-sabotage-your-app-if-youre-a-competitor.html&quot; class=&quot;external&quot;&gt;jonready.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Models/Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Fable-5&quot;&gt;Fable 5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Releases Claude Fable 5 with Routing-Based Safety (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045700/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/DeepMind&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DeepMind&quot;&gt;DeepMind&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/CNBC&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CNBC&quot;&gt;CNBC&lt;/a&gt; TechCrunch Axios Fortune Inc. Dianne Penn Claude Fable 5 Mythos Opus 4.8 Claude Opus&lt;/li&gt;
&lt;li&gt;2026-06-10: Initial impressions of Anthropic’s Claude Fable 5 and Mythos 5 (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/claude-fable-5/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Simon-Willison&amp;#x27;s-Weblog&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Simon-Willison&amp;#x27;s-Weblog&quot;&gt;Simon Willison’s Weblog&lt;/a&gt; Simon Willison Adrian Holovaty &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Mythos-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Mythos-5&quot;&gt;Claude Mythos 5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-4.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.5&quot;&gt;Claude Opus 4.5&lt;/a&gt; Claude Opus 4.6 Claude Opus 4.7 Claude Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-10: Anthropic Releases Claude Fable 5 and Mythos 5 (‌alphaXiv) · &lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/US-Government&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/US-Government&quot;&gt;US Government&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-anthropic&quot;&gt;What is Anthropic?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-anthropic&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Anthropic is an AI safety and product company behind Claude. GROUNDING tracks Anthropic model updates, agentic coding workflows, safety research, evaluations, and developer-facing releases.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for Anthropic, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-anthropic-last-mentioned&quot;&gt;When was Anthropic last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-anthropic-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Anthropic was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Cognition</title>
    <link>https://grounding.fyi/03-Entities/Companies/Cognition</link>
    <guid>https://grounding.fyi/03-Entities/Companies/Cognition</guid>
    <description><![CDATA[ &lt;p&gt;Cognition is an AI ecosystem entity tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Cognition.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-08: Introducing FrontierCode: A Benchmark for Code Quality and Mergeability (Hacker News) · &lt;a href=&quot;https://cognition.ai/blog/frontier-code&quot; class=&quot;external&quot;&gt;cognition.ai&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-4.8&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.8&quot;&gt;Claude Opus 4.8&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/GPT-5.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5.5&quot;&gt;GPT 5.5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Gemini-3.1-Pro&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini-3.1-Pro&quot;&gt;Gemini-3.1-Pro&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/kimi-k2.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/kimi-k2.6&quot;&gt;kimi-k2.6&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: FrontierCode: Benchmarking for Code Quality over Slop (Latent.Space) · &lt;a href=&quot;https://www.latent.space/p/ainews-frontiercode-benchmarking&quot; class=&quot;external&quot;&gt;latent.space&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/METR&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/METR&quot;&gt;METR&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Latent.Space&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Latent.Space&quot;&gt;Latent.Space&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Apple&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Apple&quot;&gt;Apple&lt;/a&gt; Google Scott Wu Omar Sar0 Graham Neubig Hamel Husain Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 (эйай ньюз) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/IMC&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/IMC&quot;&gt;IMC&lt;/a&gt; US Government Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Claude Fable 5 and Claude Mythos 5 (Hacker News) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/IMC&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/IMC&quot;&gt;IMC&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 Models (Data Science by ODS.ai 🦜) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/IMC&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/IMC&quot;&gt;IMC&lt;/a&gt; Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-10: Anthropic Releases Claude Fable 5 and Mythos 5 (‌alphaXiv) · &lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/US-Government&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/US-Government&quot;&gt;US Government&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-cognition&quot;&gt;What is Cognition?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-cognition&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Cognition is an AI ecosystem entity tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Cognition.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for Cognition, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-cognition-last-mentioned&quot;&gt;When was Cognition last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-cognition-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Cognition was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Linux</title>
    <link>https://grounding.fyi/03-Entities/Companies/Linux</link>
    <guid>https://grounding.fyi/03-Entities/Companies/Linux</guid>
    <description><![CDATA[ &lt;p&gt;Linux is an AI ecosystem entity tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Linux.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-10: macOS Container Machines (Hacker News) · &lt;a href=&quot;https://github.com/apple/container/blob/main/docs/container-machine.md&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/macOS&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/macOS&quot;&gt;macOS&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-linux&quot;&gt;What is Linux?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-linux&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Linux is an AI ecosystem entity tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Linux.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for Linux, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-linux-last-mentioned&quot;&gt;When was Linux last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-linux-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Linux was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>NixOS</title>
    <link>https://grounding.fyi/03-Entities/Companies/NixOS</link>
    <guid>https://grounding.fyi/03-Entities/Companies/NixOS</guid>
    <description><![CDATA[ &lt;p&gt;NixOS is an AI ecosystem entity tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for NixOS.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-10: Nucleus: A security-hardened, Nix-native container runtime (Hacker News) · &lt;a href=&quot;https://github.com/sig-id/nucleus&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-nixos&quot;&gt;What is NixOS?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-nixos&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;NixOS is an AI ecosystem entity tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for NixOS.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for NixOS, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-nixos-last-mentioned&quot;&gt;When was NixOS last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-nixos-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;NixOS was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Simon Willison&#039;s Weblog</title>
    <link>https://grounding.fyi/03-Entities/Companies/Simon-Willison's-Weblog</link>
    <guid>https://grounding.fyi/03-Entities/Companies/Simon-Willison's-Weblog</guid>
    <description><![CDATA[ &lt;p&gt;Simon Willison’s Weblog is an AI ecosystem entity tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Simon Willison’s Weblog.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-10: Initial impressions of Anthropic’s Claude Fable 5 and Mythos 5 (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/claude-fable-5/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; Simon Willison Adrian Holovaty &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Mythos-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Mythos-5&quot;&gt;Claude Mythos 5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-4.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.5&quot;&gt;Claude Opus 4.5&lt;/a&gt; Claude Opus 4.6 Claude Opus 4.7 Claude Opus 4.8&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-simon-willisons-weblog&quot;&gt;What is Simon Willison’s Weblog?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-simon-willisons-weblog&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Simon Willison’s Weblog is an AI ecosystem entity tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Simon Willison’s Weblog.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for Simon Willison’s Weblog, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-simon-willisons-weblog-last-mentioned&quot;&gt;When was Simon Willison’s Weblog last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-simon-willisons-weblog-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Simon Willison’s Weblog was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Stripe</title>
    <link>https://grounding.fyi/03-Entities/Companies/Stripe</link>
    <guid>https://grounding.fyi/03-Entities/Companies/Stripe</guid>
    <description><![CDATA[ &lt;p&gt;Stripe is an AI ecosystem entity tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Stripe.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-05: IsUpMap: A real-time status heatmap for major internet services (Hacker News) · &lt;a href=&quot;https://isupmap.com/&quot; class=&quot;external&quot;&gt;isupmap.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/xAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/xAI&quot;&gt;xAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Groq&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Groq&quot;&gt;Groq&lt;/a&gt; Perplexity Hugging Face ElevenLabs Cursor GitHub Cloudflare AWS Vercel Netlify npm Docker GitLab Supabase Firebase Coinbase Shopify Plaid Square Klarna Discord Slack Zoom Twilio SendGrid Resend Intercom Notion Figma Dropbox Reddit Linear Airtable Canva Datadog&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 (эйай ньюз) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/IMC&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/IMC&quot;&gt;IMC&lt;/a&gt; US Government Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Claude Fable 5 and Claude Mythos 5 (Hacker News) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/IMC&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/IMC&quot;&gt;IMC&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 Models (Data Science by ODS.ai 🦜) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/IMC&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/IMC&quot;&gt;IMC&lt;/a&gt; Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-10: Anthropic Releases Claude Fable 5 and Mythos 5 (‌alphaXiv) · &lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/US-Government&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/US-Government&quot;&gt;US Government&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-stripe&quot;&gt;What is Stripe?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-stripe&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Stripe is an AI ecosystem entity tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Stripe.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for Stripe, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-stripe-last-mentioned&quot;&gt;When was Stripe last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-stripe-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Stripe was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>US Government</title>
    <link>https://grounding.fyi/03-Entities/Companies/US-Government</link>
    <guid>https://grounding.fyi/03-Entities/Companies/US-Government</guid>
    <description><![CDATA[ &lt;p&gt;US Government is an AI ecosystem entity tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for US Government.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 (эйай ньюз) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-10: Anthropic Releases Claude Fable 5 and Mythos 5 (‌alphaXiv) · &lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-us-government&quot;&gt;What is US Government?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-us-government&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;US Government is an AI ecosystem entity tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for US Government.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for US Government, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-us-government-last-mentioned&quot;&gt;When was US Government last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-us-government-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;US Government was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>macOS</title>
    <link>https://grounding.fyi/03-Entities/Companies/macOS</link>
    <guid>https://grounding.fyi/03-Entities/Companies/macOS</guid>
    <description><![CDATA[ &lt;p&gt;macOS is an AI ecosystem entity tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for macOS.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-10: macOS Container Machines (Hacker News) · &lt;a href=&quot;https://github.com/apple/container/blob/main/docs/container-machine.md&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Linux&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Linux&quot;&gt;Linux&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-macos&quot;&gt;What is macOS?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-macos&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;macOS is an AI ecosystem entity tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for macOS.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for macOS, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-macos-last-mentioned&quot;&gt;When was macOS last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-macos-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;macOS was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Claude Fable 5</title>
    <link>https://grounding.fyi/03-Entities/Models/Claude-Fable-5</link>
    <guid>https://grounding.fyi/03-Entities/Models/Claude-Fable-5</guid>
    <description><![CDATA[ &lt;p&gt;Claude Fable 5 is an AI model or model family tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Claude Fable 5.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 (эйай ньюз) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC US Government Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Claude Fable 5 and Claude Mythos 5 (Hacker News) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/IMC&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/IMC&quot;&gt;IMC&lt;/a&gt; Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Releases Claude Fable 5 (Hacker News) · &lt;a href=&quot;https://www.anthropic.com/claude/fable&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Amazon-Web-Services&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Amazon-Web-Services&quot;&gt;Amazon Web Services&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google-Cloud&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-Cloud&quot;&gt;Google Cloud&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; GitHub Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 Models (Data Science by ODS.ai 🦜) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Adding custom model pricing to AgentsView (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/agentsview-custom-model-price/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Simon Willison Wes McKinney &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-4.8&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.8&quot;&gt;Claude Opus 4.8&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/GPT-4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-4&quot;&gt;GPT-4&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Releases Claude Fable 5 with Routing-Based Safety (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045700/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/DeepMind&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DeepMind&quot;&gt;DeepMind&lt;/a&gt; CNBC TechCrunch Axios Fortune Inc. Dianne Penn Mythos Opus 4.8 Claude Opus&lt;/li&gt;
&lt;li&gt;2026-06-10: Initial impressions of Anthropic’s Claude Fable 5 and Mythos 5 (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/claude-fable-5/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Simon-Willison&amp;#x27;s-Weblog&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Simon-Willison&amp;#x27;s-Weblog&quot;&gt;Simon Willison’s Weblog&lt;/a&gt; Simon Willison Adrian Holovaty &lt;a href=&quot;../../03-Entities/Models/Claude-Mythos-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Mythos-5&quot;&gt;Claude Mythos 5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-4.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.5&quot;&gt;Claude Opus 4.5&lt;/a&gt; Claude Opus 4.6 Claude Opus 4.7 Claude Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-10: Simon Willison’s latest blog updates: Claude Fable 5, MicroPython, and llm 0.32a3 (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/llm/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Simon Willison &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-4.8&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.8&quot;&gt;Claude Opus 4.8&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-10: Anthropic Releases Claude Fable 5 and Mythos 5 (‌alphaXiv) · &lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/US-Government&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/US-Government&quot;&gt;US Government&lt;/a&gt; Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-claude-fable-5&quot;&gt;What is Claude Fable 5?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-claude-fable-5&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Claude Fable 5 is an AI model or model family tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Claude Fable 5.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for Claude Fable 5, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-claude-fable-5-last-mentioned&quot;&gt;When was Claude Fable 5 last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-claude-fable-5-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Claude Fable 5 was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Claude Mythos 5</title>
    <link>https://grounding.fyi/03-Entities/Models/Claude-Mythos-5</link>
    <guid>https://grounding.fyi/03-Entities/Models/Claude-Mythos-5</guid>
    <description><![CDATA[ &lt;p&gt;Claude Mythos 5 is an AI model or model family tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Claude Mythos 5.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 (эйай ньюз) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC US Government Claude Fable 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Claude Fable 5 and Claude Mythos 5 (Hacker News) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/IMC&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/IMC&quot;&gt;IMC&lt;/a&gt; Claude Fable 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 Models (Data Science by ODS.ai 🦜) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC Claude Fable 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-10: Initial impressions of Anthropic’s Claude Fable 5 and Mythos 5 (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/claude-fable-5/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Simon-Willison&amp;#x27;s-Weblog&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Simon-Willison&amp;#x27;s-Weblog&quot;&gt;Simon Willison’s Weblog&lt;/a&gt; Simon Willison Adrian Holovaty &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-4.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.5&quot;&gt;Claude Opus 4.5&lt;/a&gt; Claude Opus 4.6 Claude Opus 4.7 Claude Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-10: Anthropic Releases Claude Fable 5 and Mythos 5 (‌alphaXiv) · &lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/US-Government&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/US-Government&quot;&gt;US Government&lt;/a&gt; Claude Fable 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-claude-mythos-5&quot;&gt;What is Claude Mythos 5?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-claude-mythos-5&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Claude Mythos 5 is an AI model or model family tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Claude Mythos 5.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for Claude Mythos 5, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-claude-mythos-5-last-mentioned&quot;&gt;When was Claude Mythos 5 last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-claude-mythos-5-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Claude Mythos 5 was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Claude Mythos Preview</title>
    <link>https://grounding.fyi/03-Entities/Models/Claude-Mythos-Preview</link>
    <guid>https://grounding.fyi/03-Entities/Models/Claude-Mythos-Preview</guid>
    <description><![CDATA[ &lt;p&gt;Claude Mythos Preview is an AI model or model family tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Claude Mythos Preview.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-04: Anthropic reports accelerating AI development through autonomous agent delegation (‌Anthropic) · &lt;a href=&quot;https://www.anthropic.com/institute/recursive-self-improvement&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/The-Anthropic-Institute&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/The-Anthropic-Institute&quot;&gt;The Anthropic Institute&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/METR&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/METR&quot;&gt;METR&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt; Claude Opus 3 Claude Sonnet 3.7 Claude Opus 4.6&lt;/li&gt;
&lt;li&gt;2026-06-04: Anthropic’s Path to Recursive Self-Improving AI Systems (Hacker News) · &lt;a href=&quot;https://www.anthropic.com/institute/recursive-self-improvement&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/The-Anthropic-Institute&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/The-Anthropic-Institute&quot;&gt;The Anthropic Institute&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/METR&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/METR&quot;&gt;METR&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-3&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-3&quot;&gt;Claude Opus 3&lt;/a&gt; Claude Sonnet 3.7 Claude Opus 4.6&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 (эйай ньюз) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC US Government Claude Fable 5 Claude Mythos 5 Claude Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-09: Claude Fable 5 and Claude Mythos 5 (Hacker News) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/IMC&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/IMC&quot;&gt;IMC&lt;/a&gt; Claude Fable 5 Claude Mythos 5 Claude Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 Models (Data Science by ODS.ai 🦜) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC Claude Fable 5 Claude Mythos 5 Claude Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-10: Anthropic Releases Claude Fable 5 and Mythos 5 (‌alphaXiv) · &lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/US-Government&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/US-Government&quot;&gt;US Government&lt;/a&gt; Claude Fable 5 Claude Mythos 5 Claude Opus 4.8&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-claude-mythos-preview&quot;&gt;What is Claude Mythos Preview?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-claude-mythos-preview&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Claude Mythos Preview is an AI model or model family tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Claude Mythos Preview.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for Claude Mythos Preview, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-claude-mythos-preview-last-mentioned&quot;&gt;When was Claude Mythos Preview last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-claude-mythos-preview-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Claude Mythos Preview was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Claude Opus 4.5</title>
    <link>https://grounding.fyi/03-Entities/Models/Claude-Opus-4.5</link>
    <guid>https://grounding.fyi/03-Entities/Models/Claude-Opus-4.5</guid>
    <description><![CDATA[ &lt;p&gt;Claude Opus 4.5 is an AI model or model family tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Claude Opus 4.5.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-06: AI vs. Human Peer Reviewers: Analysis of Scientific Paper Evaluation (Turing Post) · &lt;a href=&quot;https://twitter.com/TheTuringPost/status/2063192741258104944&quot; class=&quot;external&quot;&gt;twitter.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Nature&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Nature&quot;&gt;Nature&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; GPT-5.2 Gemini 3.0 Pro&lt;/li&gt;
&lt;li&gt;2026-06-06: On the limits and opportunities of AI reviewers (‌Turing Post) · &lt;a href=&quot;https://arxiv.org/abs/2605.20668&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Nature&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Nature&quot;&gt;Nature&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; arXiv GPT-5.2 Gemini 3.0 Pro&lt;/li&gt;
&lt;li&gt;2026-06-10: Initial impressions of Anthropic’s Claude Fable 5 and Mythos 5 (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/claude-fable-5/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Simon-Willison&amp;#x27;s-Weblog&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Simon-Willison&amp;#x27;s-Weblog&quot;&gt;Simon Willison’s Weblog&lt;/a&gt; Simon Willison Adrian Holovaty &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Mythos-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Mythos-5&quot;&gt;Claude Mythos 5&lt;/a&gt; Claude Opus 4.6 Claude Opus 4.7 Claude Opus 4.8&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-claude-opus-45&quot;&gt;What is Claude Opus 4.5?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-claude-opus-45&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Claude Opus 4.5 is an AI model or model family tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Claude Opus 4.5.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for Claude Opus 4.5, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-claude-opus-45-last-mentioned&quot;&gt;When was Claude Opus 4.5 last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-claude-opus-45-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Claude Opus 4.5 was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Claude Opus 4.6</title>
    <link>https://grounding.fyi/03-Entities/Models/Claude-Opus-4.6</link>
    <guid>https://grounding.fyi/03-Entities/Models/Claude-Opus-4.6</guid>
    <description><![CDATA[ &lt;p&gt;Claude Opus 4.6 is an AI model or model family tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Claude Opus 4.6.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-04: EVA-Bench Data 2.0: Expansion to Three Enterprise Domains (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/ServiceNow-AI/eva-bench-data&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/ServiceNow&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/ServiceNow&quot;&gt;ServiceNow&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; Hugging Face GPT-5.4 Gemini 3.1 Pro&lt;/li&gt;
&lt;li&gt;2026-06-04: Anthropic reports accelerating AI development through autonomous agent delegation (‌Anthropic) · &lt;a href=&quot;https://www.anthropic.com/institute/recursive-self-improvement&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/The-Anthropic-Institute&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/The-Anthropic-Institute&quot;&gt;The Anthropic Institute&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/METR&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/METR&quot;&gt;METR&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt; Claude Opus 3 Claude Sonnet 3.7 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-04: Anthropic’s Path to Recursive Self-Improving AI Systems (Hacker News) · &lt;a href=&quot;https://www.anthropic.com/institute/recursive-self-improvement&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/The-Anthropic-Institute&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/The-Anthropic-Institute&quot;&gt;The Anthropic Institute&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/METR&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/METR&quot;&gt;METR&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Opus-3&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-3&quot;&gt;Claude Opus 3&lt;/a&gt; Claude Sonnet 3.7 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-05: Coding with “Enemy”: Can Human Developers Detect AI Agent Sabotage? (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05647&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/MiniMax&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/MiniMax&quot;&gt;MiniMax&lt;/a&gt; GPT-5.4 Gemini 3.1 Pro MiniMax-M2.7&lt;/li&gt;
&lt;li&gt;2026-06-04: AutoLab Research on Long-Horizon Agent Persistence (DAIR.AI) · &lt;a href=&quot;https://twitter.com/dair_ai/status/2062570078705688777&quot; class=&quot;external&quot;&gt;twitter.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/DAIR.AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DAIR.AI&quot;&gt;DAIR.AI&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Multilingual Fact-Checking at Scale: Fine-Tuned Compact Models vs LLMs (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08605&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Embeddings&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Embeddings&quot;&gt;Embeddings&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Reranking&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Reranking&quot;&gt;Reranking&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Factiverse&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Factiverse&quot;&gt;Factiverse&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/XLM-RoBERTa-Large&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/XLM-RoBERTa-Large&quot;&gt;XLM-RoBERTa-Large&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/mmBERT-base&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/mmBERT-base&quot;&gt;mmBERT-base&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/GPT-5.2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5.2&quot;&gt;GPT-5.2&lt;/a&gt; Qwen3-8B&lt;/li&gt;
&lt;li&gt;2026-06-09: Can LLMs Beat Classical Hyperparameter Optimization Algorithms? (Hacker News) · &lt;a href=&quot;https://arxiv.org/abs/2603.24647&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; Fabio Ferreira &lt;a href=&quot;../../03-Entities/Models/Gemini-3.1-Pro-Preview&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini-3.1-Pro-Preview&quot;&gt;Gemini 3.1 Pro Preview&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-10: Initial impressions of Anthropic’s Claude Fable 5 and Mythos 5 (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/claude-fable-5/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Simon-Willison&amp;#x27;s-Weblog&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Simon-Willison&amp;#x27;s-Weblog&quot;&gt;Simon Willison’s Weblog&lt;/a&gt; Simon Willison Adrian Holovaty &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Mythos-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Mythos-5&quot;&gt;Claude Mythos 5&lt;/a&gt; Claude Opus 4.5 Claude Opus 4.7 Claude Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-05: Coding with “Enemy”: Can Human Developers Detect AI Agent Sabotage? (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05647&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/MiniMax&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/MiniMax&quot;&gt;MiniMax&lt;/a&gt; GPT-5.4 Gemini-3.1-Pro MiniMax-M2.7&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-claude-opus-46&quot;&gt;What is Claude Opus 4.6?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-claude-opus-46&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Claude Opus 4.6 is an AI model or model family tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Claude Opus 4.6.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for Claude Opus 4.6, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-claude-opus-46-last-mentioned&quot;&gt;When was Claude Opus 4.6 last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-claude-opus-46-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Claude Opus 4.6 was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Claude Opus 4.7</title>
    <link>https://grounding.fyi/03-Entities/Models/Claude-Opus-4.7</link>
    <guid>https://grounding.fyi/03-Entities/Models/Claude-Opus-4.7</guid>
    <description><![CDATA[ &lt;p&gt;Claude Opus 4.7 is an AI model or model family tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Claude Opus 4.7.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-05: Evaluation of LLMs for Mathematical Formalization in Lean (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05632&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/NVIDIA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NVIDIA&quot;&gt;NVIDIA&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Gemini-3.1-Pro&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini-3.1-Pro&quot;&gt;Gemini 3.1 Pro&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/NVIDIA-Nemotron-3-Super&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/NVIDIA-Nemotron-3-Super&quot;&gt;NVIDIA Nemotron 3 Super&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/GPT-OSS-120B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-OSS-120B&quot;&gt;GPT-OSS 120B&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-06: AINews Summary: Frontier Model Updates, Recursive Self-Improvement Labs, and Agent Evaluation Benchmarks (Latent.Space) · &lt;a href=&quot;https://www.latent.space/p/ainews-not-much-happened-today-6b8&quot; class=&quot;external&quot;&gt;latent.space&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Sakana-AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Sakana-AI&quot;&gt;Sakana AI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/dair_ai&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/dair_ai&quot;&gt;dair_ai&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Princeton&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Princeton&quot;&gt;Princeton&lt;/a&gt; Meta OpenAI Google kimmonismus LechMazur teortaxesTex hardmaru andrew_n_carr rishi_desai2 omarsar0 steverab pauliusztin_ adithya_s_k Claude Mythos Claude Opus 4.8 GPT 5.5 Gemini 3.1 Pro Gemini 3.5 Flash&lt;/li&gt;
&lt;li&gt;2026-06-08: Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07462&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Scaffold Effects on GAIA: A Controlled Comparison (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08529&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Sonnet-4.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Sonnet-4.6&quot;&gt;Claude Sonnet 4.6&lt;/a&gt; Claude Haiku 4.5 Gemini 3.1 Pro Preview GPT 5.5&lt;/li&gt;
&lt;li&gt;2026-06-09: ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07591&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-10: Initial impressions of Anthropic’s Claude Fable 5 and Mythos 5 (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/claude-fable-5/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Simon-Willison&amp;#x27;s-Weblog&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Simon-Willison&amp;#x27;s-Weblog&quot;&gt;Simon Willison’s Weblog&lt;/a&gt; Simon Willison Adrian Holovaty &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Mythos-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Mythos-5&quot;&gt;Claude Mythos 5&lt;/a&gt; Claude Opus 4.5 Claude Opus 4.6 Claude Opus 4.8&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-claude-opus-47&quot;&gt;What is Claude Opus 4.7?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-claude-opus-47&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Claude Opus 4.7 is an AI model or model family tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Claude Opus 4.7.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for Claude Opus 4.7, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-claude-opus-47-last-mentioned&quot;&gt;When was Claude Opus 4.7 last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-claude-opus-47-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Claude Opus 4.7 was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Claude Opus 4.8</title>
    <link>https://grounding.fyi/03-Entities/Models/Claude-Opus-4.8</link>
    <guid>https://grounding.fyi/03-Entities/Models/Claude-Opus-4.8</guid>
    <description><![CDATA[ &lt;p&gt;Claude Opus 4.8 is an AI model or model family tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Claude Opus 4.8.&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-06: AINews Summary: Frontier Model Updates, Recursive Self-Improvement Labs, and Agent Evaluation Benchmarks (Latent.Space) · &lt;a href=&quot;https://www.latent.space/p/ainews-not-much-happened-today-6b8&quot; class=&quot;external&quot;&gt;latent.space&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Sakana-AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Sakana-AI&quot;&gt;Sakana AI&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/dair_ai&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/dair_ai&quot;&gt;dair_ai&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Princeton&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Princeton&quot;&gt;Princeton&lt;/a&gt; Meta OpenAI Google kimmonismus LechMazur teortaxesTex hardmaru andrew_n_carr rishi_desai2 omarsar0 steverab pauliusztin_ adithya_s_k Claude Mythos Claude Opus 4.7 GPT 5.5 Gemini 3.1 Pro Gemini 3.5 Flash&lt;/li&gt;
&lt;li&gt;2026-06-07: AI enthusiasts vs. AI skeptics in engineering teams (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/4/ai-enthusiasts-ai-skeptics/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Simon Willison Charity Majors&lt;/li&gt;
&lt;li&gt;2026-06-08: datasette-agent-edit 0.1a0 (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/7/datasette-agent-edit/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Simon Willison&lt;/li&gt;
&lt;li&gt;2026-06-08: Introducing FrontierCode: A Benchmark for Code Quality and Mergeability (Hacker News) · &lt;a href=&quot;https://cognition.ai/blog/frontier-code&quot; class=&quot;external&quot;&gt;cognition.ai&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/GPT-5.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5.5&quot;&gt;GPT 5.5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Gemini-3.1-Pro&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini-3.1-Pro&quot;&gt;Gemini-3.1-Pro&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/kimi-k2.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/kimi-k2.6&quot;&gt;kimi-k2.6&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 (эйай ньюз) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC US Government Claude Fable 5 Claude Mythos 5 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Claude Fable 5 and Claude Mythos 5 (Hacker News) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/IMC&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/IMC&quot;&gt;IMC&lt;/a&gt; Claude Fable 5 Claude Mythos 5 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 Models (Data Science by ODS.ai 🦜) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC Claude Fable 5 Claude Mythos 5 Claude Mythos Preview&lt;/li&gt;
&lt;li&gt;2026-06-09: Adding custom model pricing to AgentsView (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/agentsview-custom-model-price/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Simon Willison Wes McKinney &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/GPT-4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-4&quot;&gt;GPT-4&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-10: Initial impressions of Anthropic’s Claude Fable 5 and Mythos 5 (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/claude-fable-5/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Simon-Willison&amp;#x27;s-Weblog&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Simon-Willison&amp;#x27;s-Weblog&quot;&gt;Simon Willison’s Weblog&lt;/a&gt; Simon Willison Adrian Holovaty &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Models/Claude-Mythos-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Mythos-5&quot;&gt;Claude Mythos 5&lt;/a&gt; Claude Opus 4.5 Claude Opus 4.6 Claude Opus 4.7&lt;/li&gt;
&lt;li&gt;2026-06-10: Simon Willison’s latest blog updates: Claude Fable 5, MicroPython, and llm 0.32a3 (Simon Willison’s Weblog) · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/llm/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Simon Willison &lt;a href=&quot;../../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-10: Anthropic Releases Claude Fable 5 and Mythos 5 (‌alphaXiv) · &lt;a href=&quot;https://www.alphaxiv.org/abs/2026.claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;alphaxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../../03-Entities/Companies/US-Government&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/US-Government&quot;&gt;US Government&lt;/a&gt; Claude Fable 5 Claude Mythos 5 Claude Mythos Preview&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-claude-opus-48&quot;&gt;What is Claude Opus 4.8?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-claude-opus-48&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Claude Opus 4.8 is an AI model or model family tracked by the GROUNDING AI Knowledge Radar. This page collects dated mentions, source links, related concepts, and builder-relevant context for Claude Opus 4.8.&lt;/p&gt;
&lt;h3 id=&quot;what-does-this-page-track&quot;&gt;What does this page track?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-does-this-page-track&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Dated radar mentions, source links, related concepts, and builder-relevant context for Claude Opus 4.8, collected automatically by GROUNDING.&lt;/p&gt;
&lt;h3 id=&quot;when-was-claude-opus-48-last-mentioned&quot;&gt;When was Claude Opus 4.8 last mentioned?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#when-was-claude-opus-48-last-mentioned&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Claude Opus 4.8 was most recently mentioned in a radar update dated 2026-06-10.&lt;/p&gt; ]]></description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>2026-06-09</title>
    <link>https://grounding.fyi/01-Daily-Briefs/2026-06-09</link>
    <guid>https://grounding.fyi/01-Daily-Briefs/2026-06-09</guid>
    <description><![CDATA[ &lt;h2 id=&quot;-ai-brief--9-june-2026&quot;&gt;🛰 AI Brief — 9 June 2026&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#-ai-brief--9-june-2026&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
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                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;🥇 Building a Practical Harness for Coding Agents: A Real-World Perspective · &lt;code&gt;prio 12&lt;/code&gt;&lt;/p&gt;&lt;/div&gt;
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&lt;p&gt;This post provides a grounded, realistic look at how to construct and maintain effective environments for coding agents, shifting the focus from model-chasing to infrastructure-building. It highlights the importance of iterating on tools, rules, and project context based on actual project needs rather than following hype.
&lt;a href=&quot;https://habr.com/ru/articles/1045348/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;em&gt;25 sources&lt;/em&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Vercel&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Vercel&quot;&gt;Vercel&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Redis-Ltd.&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Redis-Ltd.&quot;&gt;Redis Ltd.&lt;/a&gt;&lt;/p&gt;
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                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;🥈 Rosetta Memory: Adaptive Memory for Cross-LLM Agents · &lt;code&gt;prio 12&lt;/code&gt;&lt;/p&gt;&lt;/div&gt;
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&lt;p&gt;As builders increasingly adopt multi-LLM workflows to optimize for cost and task-specific performance, ensuring coherent agent memory across different backbones is a critical hurdle. This research provides a concrete methodology for decoupled memory management that could significantly stabilize agent behavior in heterogeneous model environments.
&lt;a href=&quot;https://arxiv.org/abs/2606.07711&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt;&lt;/p&gt;
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                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;🥉 Hermes Codex Plugin: Local Memory for Coding Agents via SQLite · &lt;code&gt;prio 12&lt;/code&gt;&lt;/p&gt;&lt;/div&gt;
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&lt;p&gt;This approach demonstrates a practical, lightweight alternative to standard vector-based RAG for providing agent memory, directly addressing the common pain point of context window bloat in AI-assisted development.
&lt;a href=&quot;https://habr.com/ru/articles/1045262/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt;&lt;/p&gt;
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                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;4️⃣ Building an Advanced RAG Pipeline for Corporate AI Assistants · &lt;code&gt;prio 12&lt;/code&gt;&lt;/p&gt;&lt;/div&gt;
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&lt;p&gt;For builders, this experience highlights that successful corporate RAG relies more on sophisticated data indexing and retrieval strategies than on the model itself. The detailed breakdown of chunking and metadata strategies provides actionable templates for improving RAG quality in complex environments.
&lt;a href=&quot;https://habr.com/ru/companies/chestnyznak/articles/1045460/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Chunking&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Chunking&quot;&gt;Chunking&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Confluence&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Confluence&quot;&gt;Confluence&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Jira&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Jira&quot;&gt;Jira&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitLab&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitLab&quot;&gt;GitLab&lt;/a&gt;&lt;/p&gt;
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                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;5️⃣ How I Implemented Connect RPC on Java Using AI Agents · &lt;code&gt;prio 12&lt;/code&gt;&lt;/p&gt;&lt;/div&gt;
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&lt;p&gt;This post provides a practical, replicable blueprint for using AI agents to manage complex technical implementation tasks by optimizing project structure and context management for agent-based development workflows.
&lt;a href=&quot;https://habr.com/ru/articles/1045542/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/buf&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/buf&quot;&gt;buf&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/dxFeed&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/dxFeed&quot;&gt;dxFeed&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-3-Opus&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-3-Opus&quot;&gt;Claude 3 Opus&lt;/a&gt;&lt;/p&gt;
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                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;⚠️ Knowledge Gaps &lt;/p&gt;&lt;/div&gt;
                  
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&lt;p&gt;&lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Embeddings&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Embeddings&quot;&gt;Embeddings&lt;/a&gt;&lt;/p&gt;
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                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;🚀 Models &amp;#x26; Releases (2) &lt;/p&gt;&lt;/div&gt;
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&lt;ul&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; &lt;strong&gt;Cohere Releases North Mini Code: A 30B Agentic Coding Model&lt;/strong&gt; · &lt;a href=&quot;https://huggingface.co/blog/CohereLabs/introducing-north-mini-code&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Open-Source-LLMs&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Open-Source-LLMs&quot;&gt;Open Source LLMs&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cohere&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cohere&quot;&gt;Cohere&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Google DeepMind releases Gemini 3.5 Live Translate for real-time speech-to-speech translation&lt;/strong&gt; · &lt;a href=&quot;https://goo.gle/4aEtspk&quot; class=&quot;external&quot;&gt;goo.gle&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google-DeepMind&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-DeepMind&quot;&gt;Google DeepMind&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Agora&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Agora&quot;&gt;Agora&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Fishjam&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Fishjam&quot;&gt;Fishjam&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/LiveKit&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/LiveKit&quot;&gt;LiveKit&lt;/a&gt;&lt;/li&gt;
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                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;🧪 Research Papers (95) &lt;/p&gt;&lt;/div&gt;
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&lt;ul&gt;
&lt;li&gt;&lt;code&gt;12&lt;/code&gt; &lt;strong&gt;Is Grep All You Need? How Agent Harnesses Reshape Agentic Search&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2605.15184&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;11&lt;/code&gt; &lt;strong&gt;SLMJury: Framework for Small Language Model Evaluation&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07810&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Phi-4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Phi-4&quot;&gt;Phi-4&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;11&lt;/code&gt; &lt;strong&gt;Evaluating RAG Reliability under Clean, Misleading, and Mixed Retrieval&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07783&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../02-Concepts/RAG-Evaluation&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG-Evaluation&quot;&gt;RAG Evaluation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;11&lt;/code&gt; &lt;strong&gt;AgentTrust: A Self-Improving Trust Layer for AI-Agent Actions&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08539&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;11&lt;/code&gt; &lt;strong&gt;Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07726&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;11&lt;/code&gt; &lt;strong&gt;Syll: Open-Source Personal Automation with Cross-Surface Execution&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07594&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../02-Concepts/MCP&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/MCP&quot;&gt;MCP&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Adobe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Adobe&quot;&gt;Adobe&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;11&lt;/code&gt; &lt;strong&gt;The Cold-Start Safety Gap in LLM Agents&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07867&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; &lt;strong&gt;Co-Evolving Skill Generation and Policy Optimization&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08755&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Reranking&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Reranking&quot;&gt;Reranking&lt;/a&gt; &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; &lt;strong&gt;Multilingual Fact-Checking at Scale: Fine-Tuned Compact Models vs LLMs&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08605&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Embeddings&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Embeddings&quot;&gt;Embeddings&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Reranking&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Reranking&quot;&gt;Reranking&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Factiverse&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Factiverse&quot;&gt;Factiverse&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/XLM-RoBERTa-Large&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/XLM-RoBERTa-Large&quot;&gt;XLM-RoBERTa-Large&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; &lt;strong&gt;Support Vector Rubrics: Closing the Gap Between Self-Generated and Human Rubrics&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08077&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; &lt;strong&gt;Scaling Down: Efficient Merchant Information Extraction with Small Fine-Tuned Models&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08051&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Databricks&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Databricks&quot;&gt;Databricks&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemma-3&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemma-3&quot;&gt;Gemma 3&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen-3.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen-3.5&quot;&gt;Qwen-3.5&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Aya&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Aya&quot;&gt;Aya&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; &lt;strong&gt;Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08151&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Reranking&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Reranking&quot;&gt;Reranking&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; &lt;strong&gt;The Routing Plateau: Understanding and Breaking the Accuracy Limits of LLM Routers&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07587&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; &lt;strong&gt;Beyond Pass Rate: A Multilingual, Execution-Grounded Evaluation of Open Code LLMs&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08840&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/LeetCode&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/LeetCode&quot;&gt;LeetCode&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Yi-Coder-9B-Chat&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Yi-Coder-9B-Chat&quot;&gt;Yi-Coder-9B-Chat&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5-Coder-14B-Instruct&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5-Coder-14B-Instruct&quot;&gt;Qwen2.5-Coder-14B-Instruct&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemma-2-27B-IT&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemma-2-27B-IT&quot;&gt;Gemma-2-27B-IT&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; &lt;strong&gt;TrustMargin: Arbitration Between Parametric Memory and Retrieved Evidence&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08397&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/LLaMA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/LLaMA&quot;&gt;LLaMA&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; &lt;strong&gt;Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Honest Evaluation and Benchmark Contamination&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07608&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/NVIDIA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NVIDIA&quot;&gt;NVIDIA&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Whisper-large-v3&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Whisper-large-v3&quot;&gt;Whisper large-v3&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Phi-4-multimodal&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Phi-4-multimodal&quot;&gt;Phi-4-multimodal&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;9&lt;/code&gt; &lt;strong&gt;LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.09004&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;9&lt;/code&gt; &lt;strong&gt;ConMem: Structured Memory-Guided Adaptation in Training-Free Multi-Agent Systems&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08702&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;9&lt;/code&gt; &lt;strong&gt;Cross Paraphrastic Invariance Learning for Hallucination Detection&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08157&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/RAG-Evaluation&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG-Evaluation&quot;&gt;RAG Evaluation&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;9&lt;/code&gt; &lt;strong&gt;Customer-Agent: Overcoming Context Limitations in Ultra-Long Shopping Trajectories via Tool-Augmented Agents and RLVR&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07995&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;9&lt;/code&gt; &lt;strong&gt;SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08049&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitLab&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitLab&quot;&gt;GitLab&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;9&lt;/code&gt; &lt;strong&gt;Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07936&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;9&lt;/code&gt; &lt;strong&gt;BEACON: Behavioral Entropy Aggregation for Cross-Model Hallucination Detection&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07528&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;9&lt;/code&gt; &lt;strong&gt;The AI Epistemic Deference Index: A Continuous Measure of Sycophancy&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07897&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Grok&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Grok&quot;&gt;Grok&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemini&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini&quot;&gt;Gemini&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;9&lt;/code&gt; &lt;strong&gt;MemToolAgent: Enhancing LLM Agent Tool Use Through Memory Management&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07909&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;9&lt;/code&gt; &lt;strong&gt;Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07874&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;The Token Not Taken: Sampling, State, and the Variability of AI Agent Outputs&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08998&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Oversight Has a Capacity: Calibrating Agent Guards to a Subjective, Fatiguing Human&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08919&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Calibration of Structured Ignorance Certificates for Diagnosing Unknown Unknowns in Reasoning Models&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08571&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen3-14B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen3-14B&quot;&gt;Qwen3-14B&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Artificial Intelligence for Mathematical Reasoning: A Unified Survey&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08728&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;How Much Dense Attention is Necessary? Oracle-Guided Sparse Prefill for Hybrid Long-Context Models&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07703&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen3.5-0.8B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen3.5-0.8B&quot;&gt;Qwen3.5-0.8B&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen3.5-9B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen3.5-9B&quot;&gt;Qwen3.5-9B&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;When Languages Disagree: Self-Evolving Multilingual LLM Judges&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08092&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Testing the Black Box: Structural Barriers to Independent Evaluation of Consumer-Facing Health LLMs&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08483&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;To Nuke or Not to Nuke: Evaluating Ethical Reasoning in Agentic Decision-Making&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08310&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07616&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Segment-level Tree Search for Long Meeting Summarization&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08445&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Chunking&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Chunking&quot;&gt;Chunking&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/alphaXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/alphaXiv&quot;&gt;alphaXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/CatalyzeX&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CatalyzeX&quot;&gt;CatalyzeX&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DagsHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DagsHub&quot;&gt;DagsHub&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Principled Agent Debate: Adversarial Arbitration for Sycophancy Reduction in Large Language Models&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07532&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;When Behavioral Safety Evaluation Fails: A Representation-Level Perspective&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08044&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Evaluating AI Coding Agents on Neuroscience Data Pipelines&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07718&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;VATS: Exploiting Implicit Authority in Error-Path Injection via Systematic Mutation&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07992&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Models/Gemini-3.1-Pro&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini-3.1-Pro&quot;&gt;Gemini-3.1-Pro&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-5.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5.5&quot;&gt;GPT 5.5&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GLM-5.1&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GLM-5.1&quot;&gt;GLM-5.1&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen3-Coder&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen3-Coder&quot;&gt;Qwen3 Coder&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Trait-space Monitoring for Emergent Misalignment During Supervised Finetuning&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07631&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Online Agent-as-a-Judge: Situation-Generating Evaluation for Interactive Agents&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08200&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Hacking Generative Perplexity: A Critique of Unconditional Text Evaluation&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08417&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/gpt2-large&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/gpt2-large&quot;&gt;gpt2-large&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Can LLMs Beat Classical Hyperparameter Optimization Algorithms?&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2603.24647&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.6&quot;&gt;Claude Opus 4.6&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemini-3.1-Pro-Preview&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini-3.1-Pro-Preview&quot;&gt;Gemini 3.1 Pro Preview&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Where do NaNs come from: Numerical instability in ML and why everything is calculated in logarithms&lt;/strong&gt; · &lt;a href=&quot;https://habr.com/ru/companies/otus/articles/1044824/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;PaperMentor: A Human-Centered Multi-Agent Writing Tutor for Overleaf&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08857&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Overleaf&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Overleaf&quot;&gt;Overleaf&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-5.2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5.2&quot;&gt;GPT-5.2&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;REFLECT: Intervention-Supported Error Attribution for Silent Failures in LLM Agent Traces&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.09071&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;From Holistic Evaluation to Structured Criteria: Rubrics Across the Evolving LLM Landscape&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08625&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Semantic Quorum Assurance: Collective Certification for Non-Deterministic AI Infrastructure&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08021&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Still: Amortized KV Cache Compaction in a Single Forward Pass&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07878&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen&quot;&gt;Qwen&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemma&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemma&quot;&gt;Gemma&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08348&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DeepSeek&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DeepSeek&quot;&gt;DeepSeek&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DeepSeek-V4-Flash&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeepSeek-V4-Flash&quot;&gt;DeepSeek V4 Flash&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Beyond English Benchmarks: Clinical LLM Evaluation in Brazilian Portuguese&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07853&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/SciELO&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/SciELO&quot;&gt;SciELO&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/MedGemma-27B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/MedGemma-27B&quot;&gt;MedGemma-27B&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Sabiá-4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Sabiá-4&quot;&gt;Sabiá-4&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DeepSeek-R1&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeepSeek-R1&quot;&gt;DeepSeek R1&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Unlocking Latent Value: Taxonomy-Guided Recovery of High-Performing Data from Low-Tier Web Corpora&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07778&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5-32B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5-32B&quot;&gt;Qwen2.5 32B&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/E5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/E5&quot;&gt;E5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Multilingual Refusal Alignment for Safer Large Language Models&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07535&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07523&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Embeddings&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Embeddings&quot;&gt;Embeddings&lt;/a&gt; &lt;a href=&quot;../02-Concepts/RAG-Evaluation&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG-Evaluation&quot;&gt;RAG Evaluation&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Nepal-Kanun-Patrika&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Nepal-Kanun-Patrika&quot;&gt;Nepal Kanun Patrika&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/multilingual-E5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/multilingual-E5&quot;&gt;multilingual E5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Evaluating Hallucinations in Domain-Adapted Large Language Models&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07521&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Lamini&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Lamini&quot;&gt;Lamini&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/LLaMA-2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/LLaMA-2&quot;&gt;LLaMA-2&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;TinyJudge: Improving LLM Instruction Following via Lightweight Specialist Ensembles&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07520&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Automatic Extraction of Structured Information from Brain MRI Reports Using LLaMA 3.1&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07721&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Llama-3.1&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Llama-3.1&quot;&gt;Llama 3.1&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent Reasoning&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07720&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-2&quot;&gt;GPT-2&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;SurgiQ: A Large-Scale Multi-Domain Benchmark for Evaluating Surgical Understanding in Large Language Models&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08071&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5&quot;&gt;Qwen2.5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;AsyncLane: Decoupling Refinement from Advancement in Diffusion Language Model Decoding&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08411&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/LLaDA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/LLaDA&quot;&gt;LLaDA&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Dream&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Dream&quot;&gt;Dream&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;SciTrace: Trajectory-Aware Safety Reasoning for Scientific Discovery Agents&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08234&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;TLRD: Teaching LLMs to Reason over Tabular Data with Tri-Level Rationale Distillation&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08295&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Stress-testing medical large language models reveals latent safety pathology beyond benchmark accuracy&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07929&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Contract2Tool: Learning Preconditions and Effects for Reliable Tool-Augmented LLM Agents&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07904&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Summarization is Not Dead Yet&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08000&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;MechLens: Late Crystallization of Factual Knowledge Explains Intervention Effectiveness&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07978&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Models/Pythia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Pythia&quot;&gt;Pythia&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemma&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemma&quot;&gt;Gemma&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5&quot;&gt;Qwen2.5&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Llama-3.1&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Llama-3.1&quot;&gt;Llama 3.1&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Mistral&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Mistral&quot;&gt;Mistral&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;A Framework for Evaluating and Benchmarking Concept Drift Detection Methods&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07789&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Building Comparative Motivation Profiles with Instrumental Interventions&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08243&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Llama-3.1-70B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Llama-3.1-70B&quot;&gt;Llama-3.1-70B&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Llama-3.1-405B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Llama-3.1-405B&quot;&gt;Llama-3.1-405B&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;FlashMemory-DeepSeek-V4: Lightning Index Ultra-Long Context via Lookahead Sparse Attention&lt;/strong&gt; · &lt;a href=&quot;https://twitter.com/askalphaxiv/status/2064458077039174052&quot; class=&quot;external&quot;&gt;twitter.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DeepSeek&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DeepSeek&quot;&gt;DeepSeek&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DeepSeek-V4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeepSeek-V4&quot;&gt;DeepSeek V4&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Personalization Meets Safety: Mechanisms, Risks, and Mitigations in Personalized LLMs&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.09038&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;A Multi-Agent System for IPMSM Design Optimization via an FEA-AI Hybrid Approach&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.09037&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;WhiFlash: Accelerating Speculative Decoding with Token-Level Cross-Paradigm Routing&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07710&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/EAGLE-3&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/EAGLE-3&quot;&gt;EAGLE-3&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DFlash&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DFlash&quot;&gt;DFlash&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Multimodal LLM Agents Fail to Develop Partner-Specific Conventions in Collaborative Tasks&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08081&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;HARP: Efficient Data Selection for Finetuning Large Language Models&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07690&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;More Yap Less Meaning: Uncovering Self-Improvement Behavior in SLMs&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08471&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/alphaXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/alphaXiv&quot;&gt;alphaXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/CatalyzeX&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CatalyzeX&quot;&gt;CatalyzeX&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DagsHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DagsHub&quot;&gt;DagsHub&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;The ACUTE Protocol: Operationalizing Language Model Activations for Better Calibration, Utility, and Trust&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07822&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Representational Similarity and Model Behavior in Multi-Agent Interaction&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07818&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Community-Specific Slang and Entity Detection via Semantic Shift in Fine-Tuned Language Models&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07522&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Embeddings&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Embeddings&quot;&gt;Embeddings&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Reddit&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Reddit&quot;&gt;Reddit&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DistilRoBERTa&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DistilRoBERTa&quot;&gt;DistilRoBERTa&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;When Should an AI Scientist Stop? Verifiable Experiment Steering and Refusal for Autonomous Discovery&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07576&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/A-Lab&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/A-Lab&quot;&gt;A-Lab&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;When No Answer Is Correct: Diagnosing Absent Answer Detection for MLLMs in Video Understanding&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08239&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Post-training is (Massive) Supervised Learning&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07527&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/BERT&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/BERT&quot;&gt;BERT&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;MetaEvo: A Meta-Optimization Framework for Experience-Driven Agent Evolution&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07603&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Adversarial Fragility of Activation Steering in LLMs&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07696&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07586&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/AMD&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/AMD&quot;&gt;AMD&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Llama-3.2-1B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Llama-3.2-1B&quot;&gt;Llama-3.2-1B&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Llama-3.2-3B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Llama-3.2-3B&quot;&gt;Llama-3.2-3B&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Optimality of Sequential Filtering Under Independent Cost and Selectivity Models&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07589&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Repetition Mismatch in Pre-training Data Mixture Optimization&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07597&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Trajectory-Refined Distillation&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08432&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Self-Evolving Scientific Agent for Physically-Reasoned Fluid Control&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08405&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Inference-Time Conformal Reasoning with Valid Factuality Control for Large Language Models&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08831&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;UniQL: Towards Dialect-Universal Benchmarking for Text-to-SQL&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08018&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;The Consistency Illusion in Multi-Agent Debate&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.08457&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DAIR.AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DAIR.AI&quot;&gt;DAIR.AI&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Self-Harness: Harnesses That Improve Themselves&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.09498&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DAIR.AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DAIR.AI&quot;&gt;DAIR.AI&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Latent Context Language Models (LCLMs)&lt;/strong&gt; · &lt;a href=&quot;https://twitter.com/ylecun/status/2064361011994337772&quot; class=&quot;external&quot;&gt;twitter.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Long-Context&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Long-Context&quot;&gt;Long Context&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Latent-Context-Language-Models&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Latent-Context-Language-Models&quot;&gt;Latent Context Language Models&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;5&lt;/code&gt; &lt;strong&gt;What Does Debiasing Really Remove? A Geometric Study of PCA-Based Gender Debiasing in Word Embeddings&lt;/strong&gt; · &lt;a href=&quot;https://arxiv.org/abs/2606.07964&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Embeddings&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Embeddings&quot;&gt;Embeddings&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;
&lt;/blockquote&gt;
&lt;blockquote class=&quot;callout example is-collapsible is-collapsed&quot; data-callout=&quot;example&quot; data-callout-fold=&quot;&quot;&gt;
&lt;div class=&quot;callout-title&quot;&gt;
                  &lt;div class=&quot;callout-icon&quot;&gt;&lt;/div&gt;
                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;🛠 Tools &amp;#x26; Frameworks (9) &lt;/p&gt;&lt;/div&gt;
                  &lt;div class=&quot;fold-callout-icon&quot;&gt;&lt;/div&gt;
                &lt;/div&gt;
&lt;div class=&quot;callout-content&quot;&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; &lt;strong&gt;npm v12 to Introduce Security-Focused Breaking Changes for npm install&lt;/strong&gt; · &lt;a href=&quot;https://github.blog/changelog/2026-06-09-upcoming-breaking-changes-for-npm-v12/&quot; class=&quot;external&quot;&gt;github.blog&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/npm&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/npm&quot;&gt;npm&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;9&lt;/code&gt; &lt;strong&gt;Building a Custom Billing System for Multi-tenant AI Agents&lt;/strong&gt; · &lt;a href=&quot;https://habr.com/ru/companies/llmstart/articles/1039474/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/LLMStart.ru&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/LLMStart.ru&quot;&gt;LLMStart.ru&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/1C&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/1C&quot;&gt;1C&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Ayton&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Ayton&quot;&gt;Ayton&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Migrating GitHub CI to Hugging Face Jobs using huggingface/jobs-actions&lt;/strong&gt; · &lt;a href=&quot;https://huggingface.co/blog/github-ci-hf-jobs&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Trackio&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Trackio&quot;&gt;Trackio&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Adding custom model pricing to AgentsView&lt;/strong&gt; · &lt;a href=&quot;https://simonwillison.net/2026/Jun/9/agentsview-custom-model-price/#atom-everything&quot; class=&quot;external&quot;&gt;simonwillison.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Fable-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Fable-5&quot;&gt;Claude Fable 5&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.8&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.8&quot;&gt;Claude Opus 4.8&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Pathway Live Data Framework for Stream Processing and RAG Pipelines&lt;/strong&gt; · &lt;a href=&quot;https://github.com/pathwaycom/pathway&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Kafka&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Kafka&quot;&gt;Kafka&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/PostgreSQL&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/PostgreSQL&quot;&gt;PostgreSQL&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;DAIR.AI Launches Hands-on Labs for AI Agent Development&lt;/strong&gt; · &lt;a href=&quot;https://twitter.com/dair_ai/status/2064373169671086316&quot; class=&quot;external&quot;&gt;twitter.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/DAIR.AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DAIR.AI&quot;&gt;DAIR.AI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hermes&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hermes&quot;&gt;Hermes&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Debugging Linux Dynamic Linker Issues with LD_DEBUG&lt;/strong&gt; · &lt;a href=&quot;https://bnikolic.co.uk/blog/linux-ld-debug.html&quot; class=&quot;external&quot;&gt;bnikolic.co.uk&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;redb.Route 3.1.0 Adds Native LLM and Process Execution Transports&lt;/strong&gt; · &lt;a href=&quot;https://habr.com/ru/articles/1045356/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Tool-Use&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Tool-Use&quot;&gt;Tool Use&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Apache&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Apache&quot;&gt;Apache&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Groq&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Groq&quot;&gt;Groq&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Agora Cosmica: Open Source Living Library of Historical Figures&lt;/strong&gt; · &lt;a href=&quot;https://github.com/chipmates/agoracosmica&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/OpenRouter&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenRouter&quot;&gt;OpenRouter&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cloudflare&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cloudflare&quot;&gt;Cloudflare&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen3-TTS&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen3-TTS&quot;&gt;Qwen3-TTS&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Kokoro&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Kokoro&quot;&gt;Kokoro&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;
&lt;/blockquote&gt;
&lt;blockquote class=&quot;callout example is-collapsible is-collapsed&quot; data-callout=&quot;example&quot; data-callout-fold=&quot;&quot;&gt;
&lt;div class=&quot;callout-title&quot;&gt;
                  &lt;div class=&quot;callout-icon&quot;&gt;&lt;/div&gt;
                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;🏢 Industry / Business (3) &lt;/p&gt;&lt;/div&gt;
                  &lt;div class=&quot;fold-callout-icon&quot;&gt;&lt;/div&gt;
                &lt;/div&gt;
&lt;div class=&quot;callout-content&quot;&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Optimizing for AI: Generative Engine Optimization (GEO) strategies&lt;/strong&gt; · &lt;a href=&quot;https://habr.com/ru/articles/1045666/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Geozr.com&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Geozr.com&quot;&gt;Geozr.com&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Alisa-AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alisa-AI&quot;&gt;Alisa AI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Perplexity&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Perplexity&quot;&gt;Perplexity&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Microsoft Open Source Projects Hacked to Steal AI Developer Credentials&lt;/strong&gt; · &lt;a href=&quot;https://techcrunch.com/2026/06/08/microsofts-open-source-tools-were-hacked-to-steal-passwords-of-ai-developers/&quot; class=&quot;external&quot;&gt;techcrunch.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitHub&quot;&gt;GitHub&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cloudsmith&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cloudsmith&quot;&gt;Cloudsmith&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenSourceMalware&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenSourceMalware&quot;&gt;OpenSourceMalware&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/404-Media&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/404-Media&quot;&gt;404 Media&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Founding Growth Marketer Role Requires Advanced AI-Native Workflow Skills&lt;/strong&gt; · &lt;a href=&quot;https://www.ycombinator.com/companies/emerge-career/jobs/v0S1AEG-founding-growth-marketer&quot; class=&quot;external&quot;&gt;ycombinator.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/MCP&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/MCP&quot;&gt;MCP&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Emerge-Career&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Emerge-Career&quot;&gt;Emerge Career&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Y-Combinator&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Y-Combinator&quot;&gt;Y Combinator&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;
&lt;/blockquote&gt;
&lt;blockquote class=&quot;callout example is-collapsible is-collapsed&quot; data-callout=&quot;example&quot; data-callout-fold=&quot;&quot;&gt;
&lt;div class=&quot;callout-title&quot;&gt;
                  &lt;div class=&quot;callout-icon&quot;&gt;&lt;/div&gt;
                  &lt;div class=&quot;callout-title-inner&quot;&gt;&lt;p&gt;💬 Opinions (13) &lt;/p&gt;&lt;/div&gt;
                  &lt;div class=&quot;fold-callout-icon&quot;&gt;&lt;/div&gt;
                &lt;/div&gt;
&lt;div class=&quot;callout-content&quot;&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; &lt;strong&gt;Exploiting Tiny LLMs: Manipulating Persona and Safety via Token Sensitivity&lt;/strong&gt; · &lt;a href=&quot;https://habr.com/ru/articles/1045350/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Open-Source-LLMs&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Open-Source-LLMs&quot;&gt;Open Source LLMs&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/vast.ai&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/vast.ai&quot;&gt;vast.ai&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen3.5-0.8B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen3.5-0.8B&quot;&gt;Qwen3.5-0.8B&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; &lt;strong&gt;Data Scientist’s Revenge: Why Data Science Remains Critical in the LLM Era&lt;/strong&gt; · &lt;a href=&quot;https://habr.com/ru/companies/otus/articles/1043824/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/LLM-Evals&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/LLM-Evals&quot;&gt;LLM Evals&lt;/a&gt; &lt;a href=&quot;../02-Concepts/RAG-Evaluation&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG-Evaluation&quot;&gt;RAG Evaluation&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Harvard-Business-Review&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Harvard-Business-Review&quot;&gt;Harvard Business Review&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; &lt;strong&gt;Navigating On-Premises LLM Deployment Challenges&lt;/strong&gt; · &lt;a href=&quot;https://habr.com/ru/articles/1045608/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;8&lt;/code&gt; &lt;strong&gt;Running 20B Parameter LLMs on Consumer Hardware Without Discrete GPUs&lt;/strong&gt; · &lt;a href=&quot;https://habr.com/ru/articles/1044950/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/ASUS&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/ASUS&quot;&gt;ASUS&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/AMD&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/AMD&quot;&gt;AMD&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/gpt-oss-20b&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/gpt-oss-20b&quot;&gt;gpt-oss-20b&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Optimizing industrial oil well shutdowns with asymmetric ML loss functions&lt;/strong&gt; · &lt;a href=&quot;https://habr.com/ru/articles/1045256/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;AI in web development: check the solution level before the code&lt;/strong&gt; · &lt;a href=&quot;https://habr.com/ru/articles/1045300/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/MODX&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/MODX&quot;&gt;MODX&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Microsoft&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Microsoft&quot;&gt;Microsoft&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;The better the autopilot the worse the pilot&lt;/strong&gt; · &lt;a href=&quot;https://julienreszka.com/blog/the-better-the-autopilot-the-worse-the-pilot/&quot; class=&quot;external&quot;&gt;julienreszka.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;AI Mentions Are Not Trust: How to Build Substantive Content for AI Retrieval&lt;/strong&gt; · &lt;a href=&quot;https://habr.com/ru/articles/1045548/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Burson&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Burson&quot;&gt;Burson&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Coding as the Primary Abstraction for Agentic Model Thinking&lt;/strong&gt; · &lt;a href=&quot;https://abdullin.com/erc/&quot; class=&quot;external&quot;&gt;abdullin.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/BitGN&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/BitGN&quot;&gt;BitGN&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/mimo-v2.5-pro&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/mimo-v2.5-pro&quot;&gt;mimo-v2.5-pro&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Transitioning from SQL-prompts to multi-agent systems for team operations&lt;/strong&gt; · &lt;a href=&quot;https://habr.com/ru/articles/1045652/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agent-Memory&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agent-Memory&quot;&gt;Agent Memory&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OneCell&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OneCell&quot;&gt;OneCell&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/AI-Talent-Hub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/AI-Talent-Hub&quot;&gt;AI Talent Hub&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Test-Case Reducers as an Underappreciated Debugging Tool&lt;/strong&gt; · &lt;a href=&quot;https://tratt.net/laurie/blog/2026/test_case_reducers_are_underappreciated_debugging_tools.html&quot; class=&quot;external&quot;&gt;tratt.net&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;7&lt;/code&gt; &lt;strong&gt;Nango’s Evolution in Running Untrusted Customer Code&lt;/strong&gt; · &lt;a href=&quot;https://nango.dev/blog/how-nango-runs-untrusted-customer-code-at-scale/&quot; class=&quot;external&quot;&gt;nango.dev&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../03-Entities/Companies/Nango&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Nango&quot;&gt;Nango&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Salesforce&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Salesforce&quot;&gt;Salesforce&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Slack&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Slack&quot;&gt;Slack&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/AWS&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/AWS&quot;&gt;AWS&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;6&lt;/code&gt; &lt;strong&gt;Cleaning up after AI rockstar developers&lt;/strong&gt; · &lt;a href=&quot;https://www.codingwithjesse.com/blog/rockstar-developers/&quot; class=&quot;external&quot;&gt;codingwithjesse.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; · &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;
&lt;/blockquote&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-in-the-2026-06-09-ai-brief&quot;&gt;What is in the 2026-06-09 AI brief?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-in-the-2026-06-09-ai-brief&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;The 2026-06-09 brief selected 127 signal items for AI builders and filtered 293 items as noise, using the radar’s community-relevance scoring.&lt;/p&gt; ]]></description>
    <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Agent Memory</title>
    <link>https://grounding.fyi/02-Concepts/Agent-Memory</link>
    <guid>https://grounding.fyi/02-Concepts/Agent-Memory</guid>
    <description><![CDATA[ &lt;p&gt;Agent Memory is the set of mechanisms that lets AI agents persist useful context across turns, sessions, tools, and tasks. GROUNDING tracks memory stores, compression, retrieval boundaries, and failure modes for long-running agent workflows.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Topic:&lt;/strong&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt;
&lt;strong&gt;Related:&lt;/strong&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Context-Engineering&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Context-Engineering&quot;&gt;Context Engineering&lt;/a&gt; &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-05: EMBER: Efficient Memory via Budgeted Evidence Retention for Long-Horizon Agents (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05894&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Models/EMBER-14B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/EMBER-14B&quot;&gt;EMBER-14B&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: Generic Triple-Latent Compression with Gated Associative Retrieval (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05175&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: A Motivational Architecture for Conversational AGI (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05411&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: Harnessing Generalist Agents for Contextualized Time Series (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05404&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: Bootstrapping Semantic Layer from Execution for Text-to-SQL (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05634&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: When Should Memory Stay Silent: Measuring Memory-Use Boundaries in Memory-Augmented Conversational Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.06055&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DeepSeek&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DeepSeek&quot;&gt;DeepSeek&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Alibaba-Cloud&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba-Cloud&quot;&gt;Alibaba Cloud&lt;/a&gt; GPT-5.4-mini Claude Sonnet 4.6 DeepSeek V4 Flash Qwen3.5-9B&lt;/li&gt;
&lt;li&gt;2026-06-05: LANTERN: A Lightweight Memory Layer for Long-Context Conversations (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05182&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: ArcANE: Do Role-Playing Language Agents Stay in Character at the Right Time? (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05553&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/CatalyzeX&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CatalyzeX&quot;&gt;CatalyzeX&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DagsHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DagsHub&quot;&gt;DagsHub&lt;/a&gt; Gotit.pub ScienceCast ArcANE-8B ArcANE-32B&lt;/li&gt;
&lt;li&gt;2026-06-05: QueryAgent-R1: Bridging Query Generation and Product Retrieval for E-Commerce Query Recommendation (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05671&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: SentinelBench: A Benchmark for Long-Running Monitoring Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05342&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; Amanda Swearngin&lt;/li&gt;
&lt;li&gt;2026-06-05: Rethinking LoRA Memory Through the Lens of KV Cache Compression (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05698&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: LatentSkill: Moving Agent Procedures from Context to Weights (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.06087&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: Self-supervised User Profile Generation for Personalization (BUMP) (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05336&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05661&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: Fix the Mind, Not the Move: Interpretable AI Assistance via Knowledge-Gap Localization (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05602&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: EpiEvolve: Self-Evolving Agents for Streaming Pandemic Forecasting (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05513&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/CDC&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CDC&quot;&gt;CDC&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: How LLM Agents Work: Architecture, Planning, and Tools (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1043878/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Models/GPT-5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5&quot;&gt;GPT-5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: Analysis of the Odysseus Self-Hosted AI Workspace (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1043942/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; PewDiePie&lt;/li&gt;
&lt;li&gt;2026-06-05: Automnemomorph: Philosophical Challenges of Absolute Memory Control in Agents (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1043994/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-06: Modular Architecture as an Alternative to Long Context in AI-Assisted Coding (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044384/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-06: CL-Bench: A Benchmark for Continual Learning in AI Agents (DAIR.AI) · &lt;a href=&quot;https://arxiv.org/abs/2606.05661&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/DAIR.AI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DAIR.AI&quot;&gt;DAIR.AI&lt;/a&gt; omarsar0&lt;/li&gt;
&lt;li&gt;2026-06-06: Five Labs, Five Minds: Engineering Lessons from Multi-Model Agent Systems (Hugging Face - Blog) · &lt;a href=&quot;https://huggingface.co/blog/build-small-hackathon/thousand-token-wood-sim-v2&quot; class=&quot;external&quot;&gt;huggingface.co&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenBMB&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenBMB&quot;&gt;OpenBMB&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/NVIDIA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NVIDIA&quot;&gt;NVIDIA&lt;/a&gt; gpt-oss-20b MiniCPM3-4B Nemotron-Mini-4B Qwen 0.5B&lt;/li&gt;
&lt;li&gt;2026-06-06: Universal Memory Protocol – a shared format for agent memory (Hacker News) · &lt;a href=&quot;https://universalmemoryprotocol.io/&quot; class=&quot;external&quot;&gt;universalmemoryprotocol.io&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/PostgreSQL&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/PostgreSQL&quot;&gt;PostgreSQL&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Redis&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Redis&quot;&gt;Redis&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/SQLite&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/SQLite&quot;&gt;SQLite&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Pinecone&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Pinecone&quot;&gt;Pinecone&lt;/a&gt; Weaviate Qdrant Anthropic OpenAI&lt;/li&gt;
&lt;li&gt;2026-06-06: Hermes-Agent: A Self-Improving Agent from Nous Research (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/NousResearch/hermes-agent&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Nous-Research&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Nous-Research&quot;&gt;Nous Research&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenRouter&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenRouter&quot;&gt;OpenRouter&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/NovitaAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NovitaAI&quot;&gt;NovitaAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/NVIDIA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NVIDIA&quot;&gt;NVIDIA&lt;/a&gt; Xiaomi z.ai GLM Kimi Moonshot MiniMax Hugging Face OpenAI Firecrawl fal Discord Slack WhatsApp Signal Nemotron&lt;/li&gt;
&lt;li&gt;2026-06-06: Hermes-agent by Nous Research (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/NousResearch/hermes-agent&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Nous-Research&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Nous-Research&quot;&gt;Nous Research&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenRouter&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenRouter&quot;&gt;OpenRouter&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/NovitaAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NovitaAI&quot;&gt;NovitaAI&lt;/a&gt; NVIDIA Xiaomi z.ai Moonshot MiniMax Hugging Face fal Firecrawl Nemotron&lt;/li&gt;
&lt;li&gt;2026-06-06: Google Introduces Agentic RAG Framework for Gemini Enterprise Agent Platform (The latest research from Google) · &lt;a href=&quot;https://research.google/blog/unlocking-dependable-responses-with-gemini-enterprise-agent-platforms-agentic-rag/&quot; class=&quot;external&quot;&gt;research.google&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google-Research&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-Research&quot;&gt;Google Research&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google-Cloud&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google-Cloud&quot;&gt;Google Cloud&lt;/a&gt; Cyrus Rashtchian Da-Cheng Juan &lt;a href=&quot;../03-Entities/Models/Gemini&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini&quot;&gt;Gemini&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-07: Context Sculpting (Hacker News) · &lt;a href=&quot;https://perceptiontheory.bearblog.dev/context-sculpting/&quot; class=&quot;external&quot;&gt;perceptiontheory.bearblog.dev&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; Viv &lt;a href=&quot;../03-Entities/Models/Opus&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Opus&quot;&gt;Opus&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Sonnet&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Sonnet&quot;&gt;Sonnet&lt;/a&gt; Haiku Claude&lt;/li&gt;
&lt;li&gt;2026-06-07: Claude-Mem: Persistent Context and Memory for Agentic Workflows (GitHub AI Ranking Changes (Top 10)) · &lt;a href=&quot;https://github.com/thedotmack/claude-mem&quot; class=&quot;external&quot;&gt;github.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: MemDreamer: Decoupling Perception and Reasoning for Long Video Understanding via Hierarchical Graph Memory and Agentic Retrieval Mechanism (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07512&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Tree-of-Experience: A Structured Experience-Management Method for Self-Evolving Agents (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.06960&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Autonomous Heterogeneous Catalyst Discovery with CatDT (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05050&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: M&lt;span class=&quot;katex&quot;&gt;&lt;span class=&quot;katex-html&quot; aria-hidden=&quot;true&quot;&gt;&lt;span class=&quot;base&quot;&gt;&lt;span class=&quot;strut&quot; style=&quot;height:0.8141em;&quot;&gt;&lt;/span&gt;&lt;span class=&quot;mord&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;span class=&quot;msupsub&quot;&gt;&lt;span class=&quot;vlist-t&quot;&gt;&lt;span class=&quot;vlist-r&quot;&gt;&lt;span class=&quot;vlist&quot; style=&quot;height:0.8141em;&quot;&gt;&lt;span style=&quot;top:-3.063em;margin-right:0.05em;&quot;&gt;&lt;span class=&quot;pstrut&quot; style=&quot;height:2.7em;&quot;&gt;&lt;/span&gt;&lt;span class=&quot;sizing reset-size6 size3 mtight&quot;&gt;&lt;span class=&quot;mord mtight&quot;&gt;3&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;Exam: Benchmarking Multimodal Memory for Realistic User-Agent Interactions (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07402&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: AdMem: A Unified Memory Framework for Task-Solving Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.06787&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Personalization Meets Safety: Mechanisms, Risks, and Mitigations in Personalized LLMs (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.09038&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Co-Evolving Skill Generation and Policy Optimization (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08755&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08348&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/DeepSeek&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DeepSeek&quot;&gt;DeepSeek&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DeepSeek-V4-Flash&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeepSeek-V4-Flash&quot;&gt;DeepSeek V4 Flash&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: ConMem: Structured Memory-Guided Adaptation in Training-Free Multi-Agent Systems (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08702&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Multimodal LLM Agents Fail to Develop Partner-Specific Conventions in Collaborative Tasks (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08081&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Po-Ya Angela Wang&lt;/li&gt;
&lt;li&gt;2026-06-09: Customer-Agent: Overcoming Context Limitations in Ultra-Long Shopping Trajectories via Tool-Augmented Agents and RLVR (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07995&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08151&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Opus&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Opus&quot;&gt;Opus&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen&quot;&gt;Qwen&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Codex&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Codex&quot;&gt;Codex&lt;/a&gt; GPT 5.5 Qwen-QLoRA Qwen3.6-Plus Gemini-3.1-Pro-High Qwen3.5-122B-A10B&lt;/li&gt;
&lt;li&gt;2026-06-09: AgentTrust: A Self-Improving Trust Layer for AI-Agent Actions (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08539&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent Reasoning (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07720&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-2&quot;&gt;GPT-2&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: MemoPilot: Training Memory Updates for LLM Agents with Reinforcement Learning (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08656&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DeepSeek-V3.2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeepSeek-V3.2&quot;&gt;DeepSeek-V3.2&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Baichuan-M4: A Clinical-Grade Medical Agent System for Continuous Care (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08982&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Baichuan-Intelligence&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Baichuan-Intelligence&quot;&gt;Baichuan Intelligence&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Baichuan-M4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Baichuan-M4&quot;&gt;Baichuan-M4&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Syll: Open-Source Personal Automation with Cross-Surface Execution (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07594&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Adobe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Adobe&quot;&gt;Adobe&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: MemToolAgent: Enhancing LLM Agent Tool Use Through Memory Management (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07909&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Danilo Neves Ribeiro&lt;/li&gt;
&lt;li&gt;2026-06-09: Rosetta Memory: Adaptive Memory for Cross-LLM Agents (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07711&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Hermes Codex Plugin: Local Memory for Coding Agents via SQLite (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1045262/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Navigating On-Premises LLM Deployment Challenges (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045608/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Transitioning from SQL-prompts to multi-agent systems for team operations (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045652/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/OneCell&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OneCell&quot;&gt;OneCell&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/AI-Talent-Hub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/AI-Talent-Hub&quot;&gt;AI Talent Hub&lt;/a&gt; Darya Voronkina&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-agent-memory&quot;&gt;What is Agent Memory?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-agent-memory&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Agent Memory is the set of mechanisms that lets AI agents persist useful context across turns, sessions, tools, and tasks. GROUNDING tracks memory stores, compression, retrieval boundaries, and failure modes for long-running agent workflows.&lt;/p&gt;
&lt;h3 id=&quot;which-topic-does-agent-memory-belong-to&quot;&gt;Which topic does Agent Memory belong to?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#which-topic-does-agent-memory-belong-to&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;On the GROUNDING radar, Agent Memory is grouped under the Agents topic.&lt;/p&gt;
&lt;h3 id=&quot;which-concepts-are-related-to-agent-memory&quot;&gt;Which concepts are related to Agent Memory?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#which-concepts-are-related-to-agent-memory&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Related concepts tracked by the radar include Agents, Context Engineering, RAG.&lt;/p&gt; ]]></description>
    <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Chunking</title>
    <link>https://grounding.fyi/02-Concepts/Chunking</link>
    <guid>https://grounding.fyi/02-Concepts/Chunking</guid>
    <description><![CDATA[ &lt;p&gt;Chunking is the practice of splitting documents, code, or data into retrieval units for RAG and indexing. GROUNDING tracks chunk size, boundaries, metadata, context windows, and when chunking harms answer quality.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Topic:&lt;/strong&gt; &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt;
&lt;strong&gt;Related:&lt;/strong&gt; &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Embeddings&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Embeddings&quot;&gt;Embeddings&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Codebase-Indexing&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Codebase-Indexing&quot;&gt;Codebase Indexing&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-07: Understanding the Fundamentals of LLM Tokenization (Hacker News) · &lt;a href=&quot;https://bearisland.dev/posts/tokens-and-tokenization/&quot; class=&quot;external&quot;&gt;bearisland.dev&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-4&quot;&gt;GPT-4&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt; LLaMA-3&lt;/li&gt;
&lt;li&gt;2026-06-08: Building a Grounded, Citation-Based RAG System Locally (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044752/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Ollama&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Ollama&quot;&gt;Ollama&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Russian-Ministry-of-Sport&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Russian-Ministry-of-Sport&quot;&gt;Russian Ministry of Sport&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/FIBA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/FIBA&quot;&gt;FIBA&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/CEV&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CEV&quot;&gt;CEV&lt;/a&gt; Gemma 4 BGE-M3 bge-reranker-v2-m3&lt;/li&gt;
&lt;li&gt;2026-06-08: Rebuilding RAG Search for a Helpdesk Assistant: Insights and Optimization (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/companies/bitrix/articles/1044070/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Bitrix24&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Bitrix24&quot;&gt;Bitrix24&lt;/a&gt; Alexey&lt;/li&gt;
&lt;li&gt;2026-06-09: Segment-level Tree Search for Long Meeting Summarization (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08445&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/alphaXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/alphaXiv&quot;&gt;alphaXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/CatalyzeX&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CatalyzeX&quot;&gt;CatalyzeX&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DagsHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DagsHub&quot;&gt;DagsHub&lt;/a&gt; Gotit.pub Hugging Face ScienceCast&lt;/li&gt;
&lt;li&gt;2026-06-09: Building an Advanced RAG Pipeline for Corporate AI Assistants (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/companies/chestnyznak/articles/1045460/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Confluence&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Confluence&quot;&gt;Confluence&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Jira&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Jira&quot;&gt;Jira&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/GitLab&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitLab&quot;&gt;GitLab&lt;/a&gt; Саша&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-chunking&quot;&gt;What is Chunking?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-chunking&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Chunking is the practice of splitting documents, code, or data into retrieval units for RAG and indexing. GROUNDING tracks chunk size, boundaries, metadata, context windows, and when chunking harms answer quality.&lt;/p&gt;
&lt;h3 id=&quot;which-topic-does-chunking-belong-to&quot;&gt;Which topic does Chunking belong to?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#which-topic-does-chunking-belong-to&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;On the GROUNDING radar, Chunking is grouped under the RAG topic.&lt;/p&gt;
&lt;h3 id=&quot;which-concepts-are-related-to-chunking&quot;&gt;Which concepts are related to Chunking?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#which-concepts-are-related-to-chunking&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Related concepts tracked by the radar include RAG, Embeddings, Codebase Indexing.&lt;/p&gt; ]]></description>
    <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Embeddings</title>
    <link>https://grounding.fyi/02-Concepts/Embeddings</link>
    <guid>https://grounding.fyi/02-Concepts/Embeddings</guid>
    <description><![CDATA[ &lt;p&gt;Embeddings are vector representations of text, code, images, or other data that make semantic search and clustering possible. GROUNDING tracks embedding models, retrieval quality, evaluation, and production RAG tradeoffs.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Topic:&lt;/strong&gt; &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt;
&lt;strong&gt;Related:&lt;/strong&gt; &lt;a href=&quot;../02-Concepts/RAG&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG&quot;&gt;RAG&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Vector-Database&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Vector-Database&quot;&gt;Vector Database&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Hybrid-Search&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Hybrid-Search&quot;&gt;Hybrid Search&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Reranking&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Reranking&quot;&gt;Reranking&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-04: How to Aggregate Embeddings for ML Models When One Row Equals Multiple Objects (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1043764/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Higher-School-of-Economics&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Higher-School-of-Economics&quot;&gt;Higher School of Economics&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: Predict and Reconstruct: Joint Objectives for Self-Supervised Language Representation Learning (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05173&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/NVIDIA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NVIDIA&quot;&gt;NVIDIA&lt;/a&gt; LeCun &lt;a href=&quot;../03-Entities/Models/BERT&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/BERT&quot;&gt;BERT&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-05: ReverseEOL: Improving Training-free Text Embeddings via Text Reversal in Decoder-only LLMs (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.05858&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/CatalyzeX&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CatalyzeX&quot;&gt;CatalyzeX&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DagsHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DagsHub&quot;&gt;DagsHub&lt;/a&gt; Gotit.pub ScienceCast&lt;/li&gt;
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&lt;li&gt;2026-06-08: TEVI: Improving Vision-Language Embedding Alignment via Sparse Autoencoders (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07451&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Models/CLIP&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/CLIP&quot;&gt;CLIP&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07502&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: IRAF: Noise-Robust Adaptive Fusion for Spoken Dialogue Systems (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.06559&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Models/InstructS2S-200K&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/InstructS2S-200K&quot;&gt;InstructS2S-200K&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Principles of Concept Representation in Sentence Encoders (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.06994&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Geometry of Semantic Space: Comparative Study of Discrete and Continuous Models (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07183&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Models/CamemBERT&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/CamemBERT&quot;&gt;CamemBERT&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Modeling semantic association in self-paced reading with language model embeddings (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07066&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Building a Grounded, Citation-Based RAG System Locally (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044752/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Ollama&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Ollama&quot;&gt;Ollama&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Russian-Ministry-of-Sport&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Russian-Ministry-of-Sport&quot;&gt;Russian Ministry of Sport&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/FIBA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/FIBA&quot;&gt;FIBA&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/CEV&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CEV&quot;&gt;CEV&lt;/a&gt; Gemma 4 BGE-M3 bge-reranker-v2-m3&lt;/li&gt;
&lt;li&gt;2026-06-08: AI in Business: Value Creation and Implementation Pitfalls (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044868/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Models/GPT-4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-4&quot;&gt;GPT-4&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Multilingual Fact-Checking at Scale: Fine-Tuned Compact Models vs LLMs (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08605&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Factiverse&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Factiverse&quot;&gt;Factiverse&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/XLM-RoBERTa-Large&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/XLM-RoBERTa-Large&quot;&gt;XLM-RoBERTa-Large&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/mmBERT-base&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/mmBERT-base&quot;&gt;mmBERT-base&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-5.2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5.2&quot;&gt;GPT-5.2&lt;/a&gt; Claude Opus 4.6 Qwen3-8B&lt;/li&gt;
&lt;li&gt;2026-06-09: Tensorizing Engram: Sharing Latents Across N-Gram Embeddings in LLMs (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08347&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07523&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Nepal-Kanun-Patrika&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Nepal-Kanun-Patrika&quot;&gt;Nepal Kanun Patrika&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/multilingual-E5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/multilingual-E5&quot;&gt;multilingual E5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Community-Specific Slang and Entity Detection via Semantic Shift in Fine-Tuned Language Models (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07522&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Reddit&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Reddit&quot;&gt;Reddit&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DistilRoBERTa&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DistilRoBERTa&quot;&gt;DistilRoBERTa&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: What Does Debiasing Really Remove? A Geometric Study of PCA-Based Gender Debiasing in Word Embeddings (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07964&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08658&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-embeddings&quot;&gt;What is Embeddings?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-embeddings&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Embeddings are vector representations of text, code, images, or other data that make semantic search and clustering possible. GROUNDING tracks embedding models, retrieval quality, evaluation, and production RAG tradeoffs.&lt;/p&gt;
&lt;h3 id=&quot;which-topic-does-embeddings-belong-to&quot;&gt;Which topic does Embeddings belong to?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#which-topic-does-embeddings-belong-to&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;On the GROUNDING radar, Embeddings is grouped under the RAG topic.&lt;/p&gt;
&lt;h3 id=&quot;which-concepts-are-related-to-embeddings&quot;&gt;Which concepts are related to Embeddings?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#which-concepts-are-related-to-embeddings&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Related concepts tracked by the radar include RAG, Vector Database, Hybrid Search, Reranking.&lt;/p&gt; ]]></description>
    <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>LLM Evals</title>
    <link>https://grounding.fyi/02-Concepts/LLM-Evals</link>
    <guid>https://grounding.fyi/02-Concepts/LLM-Evals</guid>
    <description><![CDATA[ &lt;p&gt;LLM Evals are tests and measurement systems for model behavior, agent performance, retrieval quality, safety, and task success. GROUNDING tracks eval benchmarks, failure modes, and practical measurement patterns.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Topic:&lt;/strong&gt; &lt;a href=&quot;../02-Topics/LLMs&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Topics/LLMs&quot;&gt;LLMs&lt;/a&gt;
&lt;strong&gt;Related:&lt;/strong&gt; &lt;a href=&quot;../02-Concepts/RAG-Evaluation&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/RAG-Evaluation&quot;&gt;RAG Evaluation&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Agents&quot;&gt;Agents&lt;/a&gt; &lt;a href=&quot;../02-Concepts/Code-Agents&quot; class=&quot;internal alias&quot; data-slug=&quot;02-Concepts/Code-Agents&quot;&gt;Code Agents&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&quot;recent-updates&quot;&gt;Recent Updates&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#recent-updates&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2026-06-08: UnpredictaBench: A Benchmark for Evaluating Distributional Randomness in LLMs (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.06622&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Amirhossein Abaskohi&lt;/li&gt;
&lt;li&gt;2026-06-08: Anthropic’s AI Code Generation and the Blind Spots of Automated Verification (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · &lt;a href=&quot;https://habr.com/ru/articles/1044850/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/METR&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/METR&quot;&gt;METR&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-08: Introducing FrontierCode: A Benchmark for Code Quality and Mergeability (Hacker News) · &lt;a href=&quot;https://cognition.ai/blog/frontier-code&quot; class=&quot;external&quot;&gt;cognition.ai&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.8&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.8&quot;&gt;Claude Opus 4.8&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-5.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5.5&quot;&gt;GPT 5.5&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemini-3.1-Pro&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini-3.1-Pro&quot;&gt;Gemini-3.1-Pro&lt;/a&gt; kimi-k2.6&lt;/li&gt;
&lt;li&gt;2026-06-09: LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.09004&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: From Holistic Evaluation to Structured Criteria: Rubrics Across the Evolving LLM Landscape (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08625&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Calibration of Structured Ignorance Certificates for Diagnosing Unknown Unknowns in Reasoning Models (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08571&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Models/Qwen3-14B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen3-14B&quot;&gt;Qwen3-14B&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Artificial Intelligence for Mathematical Reasoning: A Unified Survey (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08728&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Syed Rifat Raiyan&lt;/li&gt;
&lt;li&gt;2026-06-09: Scaffold Effects on GAIA: A Controlled Comparison (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08529&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.7&quot;&gt;Claude Opus 4.7&lt;/a&gt; Claude Sonnet 4.6 Claude Haiku 4.5 Gemini 3.1 Pro Preview GPT 5.5&lt;/li&gt;
&lt;li&gt;2026-06-09: Constrained Paraphrase Consistency for LLM Hallucination Detection (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08158&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Models/DeBERTa&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeBERTa&quot;&gt;DeBERTa&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Flan-T5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Flan-T5&quot;&gt;Flan-T5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Cross Paraphrastic Invariance Learning for Hallucination Detection (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08157&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: When Languages Disagree: Self-Evolving Multilingual LLM Judges (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08092&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Fu Liu&lt;/li&gt;
&lt;li&gt;2026-06-09: Testing the Black Box: Structural Barriers to Independent Evaluation of Consumer-Facing Health LLMs (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08483&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; Zeamanuel Tesfaye&lt;/li&gt;
&lt;li&gt;2026-06-09: Support Vector Rubrics: Closing the Gap Between Self-Generated and Human Rubrics (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08077&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Benchmarking Open-Ended Multi-Agent Coordination in Language Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08340&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemini-3.1-Pro-High&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini-3.1-Pro-High&quot;&gt;Gemini-3.1-Pro-High&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/GPT-5.4-High&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/GPT-5.4-High&quot;&gt;GPT-5.4-High&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: To Nuke or Not to Nuke: Evaluating Ethical Reasoning in Agentic Decision-Making (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08310&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Beyond English Benchmarks: Clinical LLM Evaluation in Brazilian Portuguese (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07853&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/SciELO&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/SciELO&quot;&gt;SciELO&lt;/a&gt; Giordano De Pinho Souza &lt;a href=&quot;../03-Entities/Models/MedGemma-27B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/MedGemma-27B&quot;&gt;MedGemma-27B&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Sabiá-4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Sabiá-4&quot;&gt;Sabiá-4&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/DeepSeek-R1&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/DeepSeek-R1&quot;&gt;DeepSeek R1&lt;/a&gt; o3-mini&lt;/li&gt;
&lt;li&gt;2026-06-09: Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07616&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: PACE: Anytime-Valid Acceptance Tests for Self-Evolving Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08106&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5&quot;&gt;Qwen2.5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: SLMJury: Framework for Small Language Model Evaluation (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07810&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Models/Phi-4&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Phi-4&quot;&gt;Phi-4&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Scaling Down: Efficient Merchant Information Extraction with Small Fine-Tuned Models (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08051&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Databricks&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Databricks&quot;&gt;Databricks&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemma-3&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemma-3&quot;&gt;Gemma 3&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen-3.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen-3.5&quot;&gt;Qwen-3.5&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Aya&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Aya&quot;&gt;Aya&lt;/a&gt; Llama 3.1&lt;/li&gt;
&lt;li&gt;2026-06-09: SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08049&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/GitLab&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/GitLab&quot;&gt;GitLab&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Unlocking Latent Value: Taxonomy-Guided Recovery of High-Performing Data from Low-Tier Web Corpora (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07778&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Models/Qwen2.5-32B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5-32B&quot;&gt;Qwen2.5 32B&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/E5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/E5&quot;&gt;E5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Strained Coherence: A Pre-Failure Signal in Coding Agent Execution Trajectories (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07889&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Google&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Google&quot;&gt;Google&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Sonnet-4.6&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Sonnet-4.6&quot;&gt;Claude Sonnet 4.6&lt;/a&gt; Qwen3.5-35B-A3B Gemma4-31B&lt;/li&gt;
&lt;li&gt;2026-06-09: Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07936&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Multilingual Refusal Alignment for Safer Large Language Models (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07535&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Aleksandra Krasnodębska&lt;/li&gt;
&lt;li&gt;2026-06-09: Evaluating Hallucinations in Domain-Adapted Large Language Models (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07521&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Lamini&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Lamini&quot;&gt;Lamini&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/LLaMA-2&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/LLaMA-2&quot;&gt;LLaMA-2&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: TinyJudge: Improving LLM Instruction Following via Lightweight Specialist Ensembles (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07520&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Principled Agent Debate: Adversarial Arbitration for Sycophancy Reduction in Large Language Models (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07532&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: BEACON: Behavioral Entropy Aggregation for Cross-Model Hallucination Detection (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07528&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Shoaib Sadiq Salehmohamed&lt;/li&gt;
&lt;li&gt;2026-06-09: Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07726&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; Florian E. Dorner&lt;/li&gt;
&lt;li&gt;2026-06-09: SurgiQ: A Large-Scale Multi-Domain Benchmark for Evaluating Surgical Understanding in Large Language Models (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08071&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5&quot;&gt;Qwen2.5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: The Routing Plateau: Understanding and Breaking the Accuracy Limits of LLM Routers (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07587&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: The AI Epistemic Deference Index: A Continuous Measure of Sycophancy (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07897&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — Paul de Font-Reaulx &lt;a href=&quot;../03-Entities/Models/Claude&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude&quot;&gt;Claude&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Grok&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Grok&quot;&gt;Grok&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemini&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemini&quot;&gt;Gemini&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Beyond Pass Rate: A Multilingual, Execution-Grounded Evaluation of Open Code LLMs (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08840&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/LeetCode&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/LeetCode&quot;&gt;LeetCode&lt;/a&gt; Sayed Erfan Arefin &lt;a href=&quot;../03-Entities/Models/Yi-Coder-9B-Chat&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Yi-Coder-9B-Chat&quot;&gt;Yi-Coder-9B-Chat&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen2.5-Coder-14B-Instruct&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen2.5-Coder-14B-Instruct&quot;&gt;Qwen2.5-Coder-14B-Instruct&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Gemma-2-27B-IT&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Gemma-2-27B-IT&quot;&gt;Gemma-2-27B-IT&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Stress-testing medical large language models reveals latent safety pathology beyond benchmark accuracy (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07929&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: When Behavioral Safety Evaluation Fails: A Representation-Level Perspective (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08044&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Evaluating AI Coding Agents on Neuroscience Data Pipelines (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07718&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Summarization is Not Dead Yet (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08000&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07591&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Claude-Opus-4.7&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Claude-Opus-4.7&quot;&gt;Claude Opus 4.7&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07874&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Trait-space Monitoring for Emergent Misalignment During Supervised Finetuning (cs.LG updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07631&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Honest Evaluation and Benchmark Contamination (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.07608&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/NVIDIA&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/NVIDIA&quot;&gt;NVIDIA&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Whisper-large-v3&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Whisper-large-v3&quot;&gt;Whisper large-v3&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Phi-4-multimodal&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Phi-4-multimodal&quot;&gt;Phi-4-multimodal&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Beyond Agent Architecture: Execution Assumptions and Reproducibility in LLM-Based Trading Systems (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08285&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/alphaXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/alphaXiv&quot;&gt;alphaXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/CatalyzeX&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/CatalyzeX&quot;&gt;CatalyzeX&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/DagsHub&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/DagsHub&quot;&gt;DagsHub&lt;/a&gt; Gotit.pub Hugging Face ScienceCast&lt;/li&gt;
&lt;li&gt;2026-06-09: Online Agent-as-a-Judge: Situation-Generating Evaluation for Interactive Agents (cs.AI updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08200&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Hacking Generative Perplexity: A Critique of Unconditional Text Evaluation (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08417&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Models/gpt2-large&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/gpt2-large&quot;&gt;gpt2-large&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Building Comparative Motivation Profiles with Instrumental Interventions (cs.CL updates on arXiv.org) · &lt;a href=&quot;https://arxiv.org/abs/2606.08243&quot; class=&quot;external&quot;&gt;arxiv.org&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/arXiv&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/arXiv&quot;&gt;arXiv&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hugging-Face&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hugging-Face&quot;&gt;Hugging Face&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Llama-3.1-70B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Llama-3.1-70B&quot;&gt;Llama-3.1-70B&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Llama-3.1-405B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Llama-3.1-405B&quot;&gt;Llama-3.1-405B&lt;/a&gt; Qwen-2.5-72B&lt;/li&gt;
&lt;li&gt;2026-06-09: FrontierCode: Benchmarking for Code Quality over Slop (Latent.Space) · &lt;a href=&quot;https://www.latent.space/p/ainews-frontiercode-benchmarking&quot; class=&quot;external&quot;&gt;latent.space&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/METR&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/METR&quot;&gt;METR&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Latent.Space&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Latent.Space&quot;&gt;Latent.Space&lt;/a&gt; Apple Google Scott Wu Omar Sar0 Graham Neubig Hamel Husain Opus 4.8&lt;/li&gt;
&lt;li&gt;2026-06-09: Exploiting Tiny LLMs: Manipulating Persona and Safety via Token Sensitivity (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/articles/1045350/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Alibaba&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Alibaba&quot;&gt;Alibaba&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/vast.ai&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/vast.ai&quot;&gt;vast.ai&lt;/a&gt; &lt;a href=&quot;../03-Entities/Models/Qwen3.5-0.8B&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Models/Qwen3.5-0.8B&quot;&gt;Qwen3.5-0.8B&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;2026-06-09: Data Scientist’s Revenge: Why Data Science Remains Critical in the LLM Era (Все статьи подряд / Искусственный интеллект / Хабр) · &lt;a href=&quot;https://habr.com/ru/companies/otus/articles/1043824/&quot; class=&quot;external&quot;&gt;habr.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/OpenAI&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/OpenAI&quot;&gt;OpenAI&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Harvard-Business-Review&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Harvard-Business-Review&quot;&gt;Harvard Business Review&lt;/a&gt; JosH100 Andrej Karpathy&lt;/li&gt;
&lt;li&gt;2026-06-09: Anthropic Launches Claude Fable 5 and Mythos 5 (эйай ньюз) · &lt;a href=&quot;https://www.anthropic.com/news/claude-fable-5-mythos-5&quot; class=&quot;external&quot;&gt;anthropic.com&lt;svg aria-hidden=&quot;true&quot; class=&quot;external-icon&quot; style=&quot;max-width:0.8em;max-height:0.8em&quot; viewBox=&quot;0 0 512 512&quot;&gt;&lt;path d=&quot;M320 0H288V64h32 82.7L201.4 265.4 178.7 288 224 333.3l22.6-22.6L448 109.3V192v32h64V192 32 0H480 320zM32 32H0V64 480v32H32 456h32V480 352 320H424v32 96H64V96h96 32V32H160 32z&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt; — &lt;a href=&quot;../03-Entities/Companies/Anthropic&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Anthropic&quot;&gt;Anthropic&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Stripe&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Stripe&quot;&gt;Stripe&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Cognition&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Cognition&quot;&gt;Cognition&lt;/a&gt; &lt;a href=&quot;../03-Entities/Companies/Hebbia&quot; class=&quot;internal alias&quot; data-slug=&quot;03-Entities/Companies/Hebbia&quot;&gt;Hebbia&lt;/a&gt; IMC US Government Claude Fable 5 Claude Mythos 5 Claude Opus 4.8 Claude Mythos Preview&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;faq&quot;&gt;FAQ&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#faq&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id=&quot;what-is-llm-evals&quot;&gt;What is LLM Evals?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#what-is-llm-evals&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;LLM Evals are tests and measurement systems for model behavior, agent performance, retrieval quality, safety, and task success. GROUNDING tracks eval benchmarks, failure modes, and practical measurement patterns.&lt;/p&gt;
&lt;h3 id=&quot;which-topic-does-llm-evals-belong-to&quot;&gt;Which topic does LLM Evals belong to?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#which-topic-does-llm-evals-belong-to&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;On the GROUNDING radar, LLM Evals is grouped under the LLMs topic.&lt;/p&gt;
&lt;h3 id=&quot;which-concepts-are-related-to-llm-evals&quot;&gt;Which concepts are related to LLM Evals?&lt;a role=&quot;anchor&quot; aria-hidden tabindex=&quot;-1&quot; data-no-popover href=&quot;#which-concepts-are-related-to-llm-evals&quot; class=&quot;internal&quot;&gt;&lt;svg width=&quot;18&quot; height=&quot;18&quot; viewBox=&quot;0 0 24 24&quot; fill=&quot;none&quot; stroke=&quot;currentColor&quot; stroke-width=&quot;2&quot; stroke-linecap=&quot;round&quot; stroke-linejoin=&quot;round&quot;&gt;&lt;path d=&quot;M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71&quot;&gt;&lt;/path&gt;&lt;path d=&quot;M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71&quot;&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;Related concepts tracked by the radar include RAG Evaluation, Agents, Code Agents.&lt;/p&gt; ]]></description>
    <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
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