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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Posts are grouped by conversation and tone. Select a lens to filter the stream; these are never permanent labels on people.

Opportunity & adoption Policy & governance
1 live reaction map in this view Jump to the evidence ↓
Multiple readings Zuckerberg’s AI Manifesto Lost it at Compute Policy & governance · 2 attributable reactions
Showing signals surfaced by Ellen P. Goodman ×
Most important

The developments commanding sustained expert attention

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

Established Compute & infrastructure Analysis 11d ago
⚡ 9 h early
Zuckerberg manifesto compute critique

Zuckerberg’s AI Manifesto Lost it at Compute

6 experts across 2 network communities independently surfaced this.

6 experts 2 communities 1 sources clustered
Justin Hendrix J. Nathan Matias Eryk Salvaggio Tech Policy Press Laine Nooney @ 🔥🗑️🔥 Ellen P. Goodman
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Policy & governance

1 expert

Rules, institutions and accountability.

“Ellen P. Goodman, a professor at Rutgers Law School and co-Director of the Rutgers Institute for Information Policy & Law, asks what it would take to actually democratize AI at each layer of the stack, starting with compute—the layer Zuckerberg's latest man…”

Opportunity & adoption

1 expert

New capabilities, benefits and practical upside.

“"For ten years at least, Zuckerberg has repeatedly promised connection and democracy on his platforms. Instead, we’ve gotten slop and oligarchic control. The AI manifesto promising superintelligence-for-all is cut from the same cloth."”

Primary source techpolicy.press ↗
Established Culture, work & education Signal 11d ago

Human–AI Collaboration at Scale: Task Criticality, Agency, and Friction Across 250,000 Conversations

2 experts are actively discussing the implications.

1 expert 1 community 1 sources clustered
Ellen P. Goodman

“Anthropic shared usage data with Stanford's SALT Lab. The Lab's study found "productive friction" when users knew & cared enough to push Claude. Good illustration for students re utility of expertise. #friction @neilturkewitz.bsky.social @brettfrischmann.bs…”

2 experts discussed this · 2 posts
Ellen P. Goodman: Anthropic shared usage data with Stanford's SALT Lab. The Lab's study found "productive friction" when users knew & cared enough to push Claude. Good illustration for students re utility of experti…
Neil Turkewitz: Weird piece. It reads as if it were written by AI. I found it exceptionally unpersuasive. And a careless reader is likely to be misled by the language on cognitive offloading & agency. The paper us…
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Primary source alphaxiv.org ↗