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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Debated

The questions experts are actively pulling apart

One card per development. Sources are clustered; expert reactions remain attributable.

Established Models & releases Development 16d ago
⚡ 83 h early
US government suspends Anthropic models

Statement on the US government directive to suspend access to Fable 5 and Mythos 5

34 experts across 6 network communities independently surfaced this.

34 experts 6 communities 1 sources clustered
Ethan Mollick Ramon Astudillo Justin Hendrix Suresh Venkatasubramanian Mike Masnick Anil Dash Tim Kellogg Sung Kim +26

“Well, this situation is confusing. www.anthropic.com/news/fable-m...”

“This is wild. www.anthropic.com/news/fable-m...”

5 experts discussed this · 40 posts
SE Gyges: us government has rendered it illegal to give access to fable or mythos to foreign nationals ^_^ www.anthropic.com/news/fable-m...
SE Gyges: this means nobody can have either of them btw. because they haven't KYC'd their customers hard enough.
SE Gyges: dario got what he wanted
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Primary source anthropic.com ↗
Established AI research Analysis 9d ago
scientists hoarding pre-AI content essay

Scientists once hoarded pre-nuclear steel; now we’re hoarding pre-AI content

3 experts are actively discussing the implications.

1 expert 1 community 1 sources clustered
David Colarusso
3 experts discussed this · 9 posts
Ted Underwood: Probably shouldn't admit this, but agentic tools make me better at data cleaning. I never used to connect books/authors to Open Library or Wikidata. If I even thought of it I would 🙄 at work involv…
Ted Underwood: Now, this is not to say Mike is wrong to worry! I bet four out of five people confronted w/ my present task will say "hey, Fable, deduplicate this list of books and web scrape something about their…
Pwnallthethings: Matters a lot *how* they are using LLMs right? Asking cc/codex to identify issues and clean them is not the same as using hallucinated or fully synthetic datasets
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Primary source arstechnica.com ↗