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 Chris Paxton ×

What is moving across the network now

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

Established AI field signal Development 4d ago
⚡ 2 h early
Meta Muse Wonder model launch

Muse Wonder

4 experts across 3 network communities independently surfaced this.

4 experts 3 communities 1 sources clustered
How the network is reacting 3 experts are independently emphasizing research & technical analysis.
Reaction converging

Research & technical analysis

3 experts

Evidence, methods and technical implications.

“Looks like Meta is back at the frontier with their latest "Muse Wonder" models. Will be interesting to see independent evaluations / user testing. research.meta.ai/blog/muse-wo...”

2 experts discussed this · 5 posts
Sung Kim: Meta's Muse Wonder Muse Wonder = Muse Wonder Flash Muse Wonder Full = Muse Wonder so confusing... research.meta.ai/blog/muse-wo...
Nafnlaus 🇮🇸 🇺🇦: All for the pun...
Nafnlaus 🇮🇸 🇺🇦: Not sure how much I'd trust that.. my experience with Spark 1.3 and Spark 1.3 contributor has been... subpar vs. what the benchmarks suggest
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Established Agents & robotics Analysis 5d ago
IROS 2026 robotics dexterity essay

Dexterity is the Frontier: Thoughts on IROS 2026

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Some thoughts on a robotics conference: the research community increasingly is looking at enabling contact-rich manipulation with dexterous hands, and has the tools to do so itcanthink.substack.com/p/dexterity-...”