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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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What is moving across the network now

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

New Policy & governance Analysis 14h ago
⚡ 16 h early
socialist case against AI nationalization

The Socialist Case Against Nationalizing AI

9 experts across 4 network communities independently surfaced this.

9 experts 4 communities 1 sources clustered

“"AI is, above all else, a weapon of class war from above. Whether it’s the state that wields it or corporations does little to change that fact." A nice corrective in Jacobin by @hagenblix.bsky.social and Ingeborg Glimmer jacobin.com/2026/07/ai-n...”

“jacobin.com/2026/07/ai-n... “AI is a machine that takes good jobs and makes them precarious. It’s a machine for turning stable employment into gig work””

4 experts discussed this · 9 posts
Eugene Vinitsky: I think it's reasonable to ask of a research program that purports to automate away all jobs that it provide a positive vision of the future more confident than "hey, maybe we'll "cure" cancer alon…
Eugene Vinitsky: I've been talking about this a lot lately and it just feels like the moral cases in the field are significantly less developed than they should be and it's eating at me a bit
Juan Diego Rodriguez: This eats at me all the time. I don’t know what to do about it
Open the full discussion →
New AI research Research 16h ago
⚡ 5 h early
equivariance at scale paper

Does equivariance matter at scale?

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered

“Does physical modeling matter or should we just do data-driven stuff? I feel like this paper characterizes things perfectly: arxiv.org/abs/2410.23179. Physics-based modeling is always helpful but the relative gain closes at scale”