Expert attention map

The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

2,397 searchable experts 4,280 tracked across all sources
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Showing signals surfaced by Mor Naaman ×

The developments commanding sustained expert attention

One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

Established Evaluation & benchmarks Signal 13d ago
⚡ 1 h early

Hugging face model evaluation security incident

22 experts across 6 network communities independently surfaced this.

22 experts 6 communities 1 sources clustered
6 experts discussed this · 11 posts
Grace: This headline is extremely funny given what happened (OpenAI hacked HF by accident) openai.com/index/huggin...
Grace: Maybe the most concerning part is the OpenAI claim to not have known about this before investigating?
Grace: Well, I think the model passed the test
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Established Models & releases Development 4d ago
⚡ 5 h early
Claude system prompt song lyrics restriction observed

Claude’s new system prompt really doesn’t want to reproduce song lyrics

3 experts across 3 network communities independently surfaced this.

3 experts 3 communities 1 sources clustered

“I wrote some notes on what's new in the (published) Fable 5.1 system prompt in comparison to Fable 5 - it's mostly about not reproducing song lyrics and avoiding drawing copyrighted characters simonwillison.net/2026/Sep/2/c...”

“Another fun report from one of my favorite model-trackers, @simonwillison.net simonwillison.net/2026/Sep/2/c...”

Established AI field signal Signal 14d ago

science.org

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered

“Not missing but relevant is the power of models to shift your attitude in interactions beyond messaging or chat. As we showed in this work, even AI autocomplete suggestions can shift people's attitudes on important societal topics, often without their aware…”