GROUNDING
AI Knowledge Radar
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.
Auto-updated hourly from a single aggregated feed.
Scoring engine — Gemini, audited by an LLM judge
LLM-judge audit · n=30 · 2026-06-06
How to read this radar
How to read this radar
- Daily Briefs — the top community-relevant signals of the day, each with why it matters for builders and a
prioscore.- Concepts / Topics — the durable ideas the news maps onto; the graph links them.
- Knowledge Gaps — recurring themes the community should learn next.
- Incident Index — tracked model failures, regressions, and outages: hallucination, jailbreak, refusal, and bias incidents the radar flags and scores by severity.
- Companies / Models — profiles of the AI companies and models the radar tracks.
- Insights — synthesized conclusions (claim · evidence · implications).
- About the radar — What is GROUNDING AI Knowledge Radar? and GROUNDING Methodology.
- 🥇 Evaluating webframe as a Lightweight Headless Browser and Scraperprio 6For builders building scraping pipelines or evaluating lightweight sandboxing alternatives to heavy Playwright or Puppeteer setups, webframe offers a minimal approach using existing OS webviews.
FAQ
What is GROUNDING?
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.
How often is GROUNDING updated?
GROUNDING is auto-updated hourly from a single aggregated feed of AI news, papers, and community sources.
How are items scored?
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.
What do the signal and noise counts mean?
Signal is the number of items the radar kept as community-relevant; noise is the number it filtered out. The 2026-10-27 brief kept 1 signal items and filtered null noise items.
How accurate is the radar’s scoring?
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.
Who is GROUNDING for?
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.
How can I follow GROUNDING updates?
Subscribe to the RSS feed at https://grounding.fyi/index.xml (full-content, latest 40 items). AI agents can read https://grounding.fyi/llms.txt or llms-full.txt.