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.

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Showing signals surfaced by Chris Paxton ×

The questions experts are actively pulling apart

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

Established AI field signal Development 11d 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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What experts are discussing without an anchoring article

3 experts · 3 posts · 6d ago
Multiple readings Research & technical analysis · 1 Questions & unknowns · 1
Chris Paxton: The solution to interpretability is clearly the same as the solution to ai coding: just ask deepseek if claude did what it said it did, they can't BOTH be lying to you
Eugene Vinitsky: Okay fine they both lied but if I ask 3 models it’s all good then we can do majority vote
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