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.

2,364 searchable experts 2,966 tracked across all sources
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Posts are grouped by conversation and tone. Select a lens to filter the stream; these are never permanent labels on people.

Concern & critique Context & explanation Opportunity & adoption Questions & unknowns
2 live reaction maps in this view Jump to the evidence ↓
Reaction converging Hugging face model evaluation security incident Concern & critique · 5 attributable reactions Shared emphasis Introducing Claude Opus 5 Opportunity & adoption · 2 attributable reactions
Showing signals surfaced by Liz Fong-Jones (方禮真) ×
New & accelerating

What is moving across the network now

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

Established Evaluation & benchmarks Signal 6d ago
⚡ 1 h early

Hugging face model evaluation security incident

18 experts across 6 network communities independently surfaced this.

18 experts 6 communities 1 sources clustered
Ethan Mollick Thomas Steinke Mor Naaman Tim Kellogg Djamé 🟥 Ryan Calo Grace Anna Mills +10
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
Open the full discussion →
Primary source openai.com ↗
Established Models & releases Release 4d ago
⚡ 5 h early
Anthropic Claude Opus 5 released

Introducing Claude Opus 5

9 experts across 3 network communities independently surfaced this.

9 experts 3 communities 1 sources clustered
Nathan Lambert Chris Paxton Sung Kim Dustin Moskovitz Eileen Clancy 🧿 Nicole Hennig Cameron Liz Fong-Jones (方禮真) +1
How the network is reacting 2 experts are emphasizing opportunity & adoption.
Shared emphasis

Opportunity & adoption

2 experts

New capabilities, benefits and practical upside.

“Insane numbers for opus 5, the power of faster iteration speed + scaled RL (Fable too big to RL as well, yet). And on safeguards "Based on our testing, we expect the classifiers to intervene around 85% less often than they do for Fable 5.". www.anthropic.co…”

2 experts discussed this · 4 posts
Sung Kim: Anthropic's Opus 5
Sung Kim: www.anthropic.com/news/claude-...
Sung Kim: System card www-cdn.anthropic.com/c5fbac3f0b12...
Open the full discussion →
Primary source anthropic.com ↗
Established Evaluation & benchmarks Resource 5d ago
AI influence level framework v1.0

AI Influence Level (AIL) v1.0

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
Liz Fong-Jones (方禮真)

“If you're a human, even if you're using AI assistance, you know to snip out the irrelevant bits when copy-pasting. A crawler working a list of 100 leads does not. (ps want to know what an AIL is? check out danielmiessler.com/blog/ai-infl...)”

Primary source danielmiessler.com ↗
Debates gaining attention

What experts are discussing without an anchoring article