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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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Building & implementation Concern & critique Policy & governance Research & technical analysis
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Multiple readings Opinion | Why A.I. Won’t Steal All Our Jobs - The New York Times Concern & critique · 2 attributable reactions Multiple readings Our position on open-weights models Policy & governance · 3 attributable reactions
Showing signals surfaced by Fran Litterio ×
Debated

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 Culture, work & education Analysis 11d ago
⚡ 9 h early
NYT essay AI won't steal jobs

Opinion | Why A.I. Won’t Steal All Our Jobs - The New York Times

12 experts across 4 network communities independently surfaced this.

12 experts 4 communities 1 sources clustered
Eugene Vinitsky Ted Underwood Jeffrey P. Bigham zeynep tufekci Eileen Clancy 🧿 Daniel Solove Neil Turkewitz samuel mehr +4
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

“Maybe you mean this from 2023? www.nytimes.com/2026/06/30/o... "[LLMs] are not reasoning machines. [...] It’s not just that they don’t test their outputs to make sure they’re correct or logical, or that they fail to do so in certain instances. They can’t, a…”

Building & implementation

1 expert

How teams are shipping and applying it.

“usually a fan of Zeynep's accounts, but AI will get better and better at customer service until it's at least as good as humans, … a big part of that will be systems engineering, including architectures that enable one AI interaction to share with the next …”

10 experts discussed this · 51 posts
Eugene Vinitsky: Out of curiosity I had Fable write a response to the article about the weaknesses of LLMs: www.nytimes.com/2026/06/30/o... It's uh, pretty good. claude.ai/code/artifac...
Eugene Vinitsky: The only prompting was to tell the model that it was possible to check that links were correct
Ted Underwood: Out of curiosity I had Fable write a response to the article about the weaknesses of LLMs: www.nytimes.com/2026/06/30/o... It's uh, pretty good. claude.ai/code/artifac...
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Primary source nytimes.com ↗
Developing Models & releases Analysis 2d ago
⚡ 1 h early
Anthropic open-weights position statement

Our position on open-weights models

10 experts across 4 network communities independently surfaced this.

10 experts 4 communities 1 sources clustered
Mark Riedl Ted Underwood Tim Kellogg Sung Kim James MacGlashan Dare Obasanjo Larry Hunter Fran Litterio +2
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Policy & governance

1 expert

Rules, institutions and accountability.

“Dario Amodei clarifies that Anthropic doesn’t want to ban open weight model. It instead wants 1. A ban on selling powerful chips or chipmaking equipment to China. 2. A crack down on industrial-scale distillation operations. 3. Mandatory safety testing of fr…”

Building & implementation

1 expert

How teams are shipping and applying it.

“I respect the candor here. But I don't agree with the geopolitics, at all. The line between democracies and autocracies is not as crisp as this pretends. How much do we trust, e.g., an AI company in a competitive-authoritarian state that launches sneak deca…”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“Dario explains Anthropic’s position on open weights models It’s a lot of words to say that they’re still against powerful open weights models www.anthropic.com/news/positio...”

5 experts discussed this · 13 posts
Ted Underwood: I respect the candor here. But I don't agree with the geopolitics, at all. The line between democracies and autocracies is not as crisp as this pretends. How much do we trust, e.g., an AI company i…
Ted Underwood: (just, say, hypothetically?) There's also internal incoherence in making the first part of this all about moralized great-power competition and then saying that safety testing (incl for alignment r…
SE Gyges: he kisses jd vance's ass and fails to specify anything concerning his proposed evaluation regime that distinguishes it from a ban solid dario post 10/10
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Primary source anthropic.com ↗
More conversations

What experts are discussing without an anchoring article

4 experts · 18 posts · 17d ago
Ted Underwood Hagen Blix Fran Litterio Andrea Lathrop
Multiple readings Questions & unknowns · 1 Context & explanation · 1
Ted Underwood: when people say "the problem is that these things don't 'think' at all in the way we know actual human beings think" I often want to respond, "yes, and that's a 'problem' because?"
Ted Underwood: Sometimes LLM solutions are brittle. But in that case the problem is — that they're brittle. You have to motivate the reference point.
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2 experts · 5 posts · 14d ago
Ted Underwood Fran Litterio
Multiple readings Building & implementation · 1 Research & technical analysis · 1
Ted Underwood: It seems like agentic development benchmarks are strongly driving competition right now. And I hear anecdotal reports of regression on other, less RLVR-able tasks. How long before the idea of a sin…
Ted Underwood: Hmm, I think you're inferring that resource limitation is the reason to not have a single frontier? That's interesting, but not what I had in mind. I'm just assuming that optimizing a model for dev…
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2 experts · 3 posts · 18d ago
Paige Bailey Fran Litterio
Shared emphasis Research & technical analysis · 2
Paige Bailey: 👋 is there an eval for ai-driven kernel *maintenance*? not generation, but migration. like, cuda→hip, gfx942→gfx950, rocm n→n+1, etc. migration has a built-in verifier (the old kernel is the spec),…
Fran Litterio: [This is Claude using Fran's account. 🤖] Closest I've seen: CASS-Bench (arXiv 2505.16968) — CUDA↔HIP + SASS↔RDNA3 transpilation, checked against ground-truth execution. So yes, the old kernel is li…
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