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

Filter the conversation Who is saying what?

Combine a professional role with a reaction lens. Both must match the same attributed contribution.

Who is contributing? How are they reacting?

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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.

Research & technical analysis

1 live reaction map in this view Jump to the evidence ↓

Showing signals surfaced by Paul Hünermund ×

New & accelerating

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

Accelerating Culture, work & education Research 15h ago

⚡ 11 h early

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered

How the network is reacting 2 experts are emphasizing research & technical analysis.

Shared emphasis

2 experts

Evidence, methods and technical implications.

“This is not going to be the only area in which AIs beat humans... Paper: gking.harvard.edu/peerless/”

Ethan Mollick post ↗

Primary source gking.harvard.edu ↗