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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The developments commanding sustained expert attention

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

Established Evaluation & benchmarks Research 16d ago
cost-efficient benchmark evaluation paper

Cost-Efficient Estimation of General Abilities Across Benchmarks

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“If you’re at #COLM2026, checkout our work on cost efficient LLM evaluation! my coworker Michael will be presenting it at poster session 2 tomorrow starting at 4:30. arxiv.org/abs/2604.01418”

What experts are discussing without an anchoring article

4 experts · 21 posts · 19h ago
Multiple readings Concern & critique · 1 Research & technical analysis · 1 Opportunity & adoption · 1
Eugene Vinitsky: It takes so long to write a paper because we are crazy about not making mistakes and checking as many edge cases as we can. This stressful responsibility is, I suppose, not obvious. so, if you’re n…
Eugene Vinitsky: Lots of new folks trying to write papers so it’s important to know: if there’s a mistake in the paper, the responsibility falls on you. You cannot offload it to the AI assistant.
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3 experts · 5 posts · 7d ago
Colin: There’s not really anything to unpack there lol
Colin: Perhaps one could ask why it identifies itself as Claude. Occam’s Razor says it’s because it’s Claude. But then again, who cares?
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