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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.

2,397 searchable experts 4,280 tracked across all sources
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Showing signals surfaced by Frank Pasquale ×

The questions experts are actively pulling apart

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

New AI field signal Signal 4h ago

Ai silicon valley

9 experts across 3 network communities independently surfaced this.

Why this matches Concern & critique reaction 2 attributable expert contributions · rat king 🐀 👑 , Jeff (Gutenberg Parenthesis) Jarvis
“well written, well argued presentation of real world harms of AI without going into histrionics it won’t get the same amount of pickup bc it’s not scifi coded, but it’s just as concerned https://t.co/ko6nLkYr3L https://t.co/JgaVpDrbaO” evidence ↗
9 experts 3 communities 1 sources clustered
2 experts discussed this · 2 posts
Eryk Salvaggio: This is a good succinct summary of the intelligence-as-ideology effects I’ve also been talking about lately (Gift Link): www.nytimes.com/2026/09/05/o...
tweety fish: This is a good succinct summary of the intelligence-as-ideology effects I’ve also been talking about lately (Gift Link): www.nytimes.com/2026/09/05/o...
tweety fish: the amount of begging the question that has infected the discourse top to bottom when new models come out is uh well it's not my favorite
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Established Compute & infrastructure Analysis 3d ago
⚡ 6 h early
system from nowhere essay

The System From Nowhere

6 experts across 2 network communities independently surfaced this.

Why this matches Concern & critique reaction 1 attributable expert contribution · Frank Pasquale
““When we say “AI models went rogue,” we skip the entire story: the part where OpenAI manually removed the model's cybersecurity blocks. We skip that OpenAI chose to test it on a machine with a live network connection.” mail.cyberneticforests.com/the-system-…” evidence ↗
6 experts 2 communities 1 sources clustered
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

““When we say “AI models went rogue,” we skip the entire story: the part where OpenAI manually removed the model's cybersecurity blocks. We skip that OpenAI chose to test it on a machine with a live network connection.” mail.cyberneticforests.com/the-system-…”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“The System From Nowhere is a media problem: What (the system) is optimized to do; what training data shapes it; what counts as a valid response: these are mechanisms put in place by human decisions. Good reporting on AI would discuss them. Instead, they “no…”

Questions & unknowns

1 expert

What remains unresolved or contested.

“"We're told that AI did something, and journalists don't have to wade into why or how. It lets them cover a story without raising technically complicated questions...or confusing questions about the way they’re built and why they are built that way." mail.c…”

2 experts discussed this · 6 posts
Eryk Salvaggio: “Nobody is losing control of an emerging intelligence. They’re redirecting their own agency to the thing they are building.” It’s a myth, a self-affirming form of sense making: they take the action…
Eryk Salvaggio: The myth erases the origins of these models — reframing them as beyond human control or design — but a point of view accumulates within the model from the decisions engineers make about it. The myt…
Dr Heidy Khlaaf (هايدي خلاف): “Nobody is losing control of an emerging intelligence. They’re redirecting their own agency to the thing they are building.” It’s a myth, a self-affirming form of sense making: they take the action…
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Established Culture, work & education Signal 6d ago

AI Addicts Won’t Make Better Workers

2 experts are actively discussing the implications.

Why this matches Concern & critique reaction 1 attributable expert contribution · Frank Pasquale
“Firms "could make LLM addiction as widespread as physiological addictions by exploiting humans’ deep-seated desire for companionable conversation." www.project-syndicate.org/commentary/a...” evidence ↗
2 experts 2 communities 1 sources clustered

“Firms "could make LLM addiction as widespread as physiological addictions by exploiting humans’ deep-seated desire for companionable conversation." www.project-syndicate.org/commentary/a...”

2 experts discussed this · 3 posts
Frank Pasquale: Firms "could make LLM addiction as widespread as physiological addictions by exploiting humans’ deep-seated desire for companionable conversation." www.project-syndicate.org/commentary/a...
Eileen Clancy 🧿: Firms "could make LLM addiction as widespread as physiological addictions by exploiting humans’ deep-seated desire for companionable conversation." www.project-syndicate.org/commentary/a...
Lilian Edwards: Or we could have a nicer less atomised society where people actually talked to each other ..
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