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.

2,364 searchable experts 2,966 tracked across all sources
Clear
Showing signals surfaced by Joe Bak-Coleman ×

The developments commanding sustained expert attention

One card per development. Sources are clustered; expert reactions remain attributable.

Established AI field signal Signal 5d ago
⚡ 8 h early

science.org

13 experts across 4 network communities independently surfaced this.

13 experts 4 communities 1 sources clustered

“This article ends with a good conclusion, but it is extremely misguided along the way. It is also a rich text for exploring how clear language helps make the point better. A thread: www.science.org/doi/10.1126/... >>”

“This editor/author does the same “trick” as he writes: "Recently, the ability of large language models (LLMs) to predict protein structures and to accelerate the discovery of new materials has revolutionized both fields. New AI agents can now carry out many…”

Established AI field signal Signal 11d ago
⚡ 58 h early

Cec8df9e b43b 4cd1 8feb c07e804e8d33

5 experts across 3 network communities independently surfaced this.

5 experts 3 communities 1 sources clustered

“Absolutely essential reading about the impact of vibe coding on open source and the practice of software development generally, by @samlearner.bsky.social www.ft.com/content/cec8...”

What experts are discussing without an anchoring article