Expert attention map

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 Rémi Flamary ×

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 AI field signal Signal 19d ago

davidpicard.github.io

4 experts are actively discussing the implications.

2 experts 1 community 1 sources clustered

“New year, new semester, new course, new textbook: davidpicard.github.io/mldl/mldl-bo... 👀 Still in draft form, but not in a bad shape.”

4 experts discussed this · 13 posts
David Picard: New year, new semester, new course, new textbook: davidpicard.github.io/mldl/mldl-bo... 👀 Still in draft form, but not in a bad shape.
Rémi Flamary : New year, new semester, new course, new textbook: davidpicard.github.io/mldl/mldl-bo... 👀 Still in draft form, but not in a bad shape.
David Picard: Oh my god, there are so many typos 😭
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What experts are discussing without an anchoring article

5 experts · 8 posts · 4d ago
Christian Wolf: 2020: cold emails with applications mentioning unrelated areas like Biology. Candidate didn't even check my/our webpage. 2026: cold emails which relate the candidate's CV with our work and latest p…
David Picard: The chances of getting a positive reply from a cold email are abysmal to begin with. I suppose they think that exchanging rate for volume is a win. But I don't think they increase volume sufficient…
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