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 Samuel Hammond ×
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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 AI field signal Signal 14d ago

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered
Samuel Hammond

“@ngMachina Ya, directionally. There's a 3-4 OOM gap between brain vs ANN sample efficiency, at least for language acquisition. The brain has innate priors from evolution so it's not an exact comparison, but at least suggestive we're still missing something …”

Primary source arxiv.org ↗
Established Compute & infrastructure Signal 18d ago

Anthropic breaks tech group chips

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered
Samuel Hammond

“How can @ITI_TechTweets claim with a straight face that enforcing export controls undermines American AI leadership? This is what it looks like when the global tech industry puts business ahead of the national interest. https://t.co/QDJCflcpmT https://t.co/…”

Primary source axios.com ↗