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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Showing signals surfaced by Tomer Ullman ×
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The developments commanding sustained expert attention

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

Established Models & releases Research 7d ago
⚡ 17 h early
LLM odor mixture perceptual geometry paper

Learning Perceptual Geometry of Natural Odor Mixtures from LLM-Derived Descriptors

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered
Tomer Ullman AI Firehose

“Harvard researchers have used large language models to analyze connections between molecular composition and the perception of natural odors, significantly enhancing our ability to predict similarities among 1,200 volatile mixtures. https://arxiv.org/abs/26…”

Primary source arxiv.org ↗
Debates gaining attention

What experts are discussing without an anchoring article

2 experts · 4 posts · 19h ago
Blake Richards Tomer Ullman
Tomer Ullman: Using AI to write the proposal for a grant: heinous, what are you doing, writing is thinking Using AI to populate a weird excel sheet of project timelines in some pseudo-serious format mandated by …
Blake Richards: Using AI to write the proposal for a grant: heinous, what are you doing, writing is thinking Using AI to populate a weird excel sheet of project timelines in some pseudo-serious format mandated by …
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