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.

Clear all
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.

0 live reaction maps in this view

No development in this filter has enough independent reactions yet. The maps appear as soon as the evidence supports them.

Showing signals surfaced by Omar Rivasplata ×

The developments commanding sustained expert attention

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

Established AI field signal Signal 5d ago

tandfonline.com

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“🚨 A follow-up note on my paper "Semi-pessimistic Reinforcement Learning" which was accepted in the Journal of the American Statistical Association (JASA) The accepted manuscript is now publicly available, here's the link, for anyone interested: www.tandfonl…”