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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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Showing developments with attributable Research & technical analysis reactions.

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Concern & critique Research & technical analysis
1 live reaction map in this view Jump to the evidence ↓
Reaction converging Openai warnings security Concern & critique · 5 attributable reactions
Showing signals surfaced by Hagen Blix ×
Most important

The developments commanding sustained expert attention

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

Established Models & releases Signal 20d ago

Openai warnings security

8 experts across 4 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Sheera Frenkel
“NEW- OpenAI ignored warnings from its own employees and independent security researchers who said they needed better safety measures at the company. www.nytimes.com/2026/09/29/t...” evidence ↗
8 experts 4 communities 1 sources clustered
Mark Riedl Eryk Salvaggio Dylan Freedman Sheera Frenkel Dare Obasanjo Hagen Blix John Herrman Jeffrey Vagle
Primary source nytimes.com ↗
Established AI research Research 10d ago
ML ethical judgments NLP paper

On the Machine Learning of Ethical Judgments from Natural Language

3 experts are actively discussing the implications.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Hagen Blix
“Don't forget about language! Also totally solved! (I co-wrote a paper a few years ago telling the Natural Language Processing community that ethics is not a benchmarkable problem that you can "solve", but.. well, you can imagine how much of an effect that had)” evidence ↗
1 expert 1 community 1 sources clustered
Hagen Blix

“Don't forget about language! Also totally solved! (I co-wrote a paper a few years ago telling the Natural Language Processing community that ethics is not a benchmarkable problem that you can "solve", but.. well, you can imagine how much of an effect that had)”

3 experts discussed this · 8 posts
Hagen Blix: They're all guys who think the answer to the trolley problem is literally just a number
Hagen Blix: They're people who cultivate a "personality" around a particular number at which they'd flip the switch.
Hagen Blix: Don't forget about language! Also totally solved! (I co-wrote a paper a few years ago telling the Natural Language Processing community that ethics is not a benchmarkable problem that you can "solv…
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Primary source aclanthology.org ↗