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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New Network reaction maps

See how experts are reacting—not just what they shared.

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

Showing signals surfaced by Anupam Chander ×

The developments commanding sustained expert attention

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

Established Policy & governance Development 17d ago
⚡ 5 h early
Harvey AI post-training effort update

Update on Harvey's Post-Training Effort

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered

“Legal startup Harvey's new AI model is built on Kimi K3, a Chinese open source model from Moonshot AI: "Harvey Tenet is a Kimi K3 base that we post-trained together with Fireworks research for long-horizon legal work." www.harvey.ai/blog/post-tr...”

Established Policy & governance Analysis 19d ago
⚡ 25 h early
AI public defense cautious use

Why Public Defense Should Incorporate AI Carefully

3 directory members surfaced this signal.

3 experts 1 community 1 sources clustered
How the network is reacting 2 experts are emphasizing opportunity & adoption.
Shared emphasis

Opportunity & adoption

2 experts

New capabilities, benefits and practical upside.

“Based on interviews with public defenders, Princeton's Dominik Stammbach & Peter Henderson mapped where AI helps—surfacing briefs, making sense of evidence—and where it doesn't. They make the case for careful adoption. techpolicy.press/why-public-defense-sh…”