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The Who's Who of AI

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Concern & critique Policy & governance
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Multiple readings theatlantic.com Concern & critique · 3 attributable reactions
Showing signals surfaced by Oliver Lemon ×
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 AI field signal Signal 17d ago

theatlantic.com

10 experts across 3 network communities independently surfaced this.

10 experts 3 communities 1 sources clustered
angela zhou Suresh Venkatasubramanian Nick Diakopoulos Frank Pasquale Dare Obasanjo tante Charles Logan Oliver Lemon +2
2 experts discussed this · 2 posts
Suresh Venkatasubramanian: I know it's a trend to quit big tech and write a warning note. But this one from David Robinson is worth reading if only because he is much more careful in where he locates the concerns (about cult…
Gina Helfrich: It was going so well, until the final paragraph.
angela zhou: I know it's a trend to quit big tech and write a warning note. But this one from David Robinson is worth reading if only because he is much more careful in where he locates the concerns (about cult…
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Primary source theatlantic.com ↗
New AI field signal Resource 19h ago
ELLIS UnConference AI research event

ELLIS UnConference

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered
ELLIS David Picard Oliver Lemon

“ELLIS UnConference 2026 - 𝗔𝗜 𝗳𝗼𝗿 𝗦𝗼𝗰𝗶𝗲𝘁𝘆: Featuring sessions on Entrepreneurship in AI, AI for Health, and Socetial Aspects of AI. 🔎 Sessions: https://bit.ly/4dr7xUb ❗ Register: https://bit.ly/3TOh2WU 📅 8 Dec in Paris, the day before @neuripseurope.bsky.social”

Primary source ellis-unconference.github.io ↗
Established Safety & security Research 19d ago
⚡ 2725 h early
AI safety scaffolding evaluation paper

Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered
Oliver Lemon AI Firehose

“Research shows AI model safety scores vary by eval format—5-20% swings occur between multiple choice and open-ended questions. Moreover, scaffolding like map-reduce can reduce measured safety, stressing the need for nuanced testing frameworks in AI deployme…”

Primary source arxiv.org ↗