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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5 experts · 16 posts · 9d ago
Multiple readings Building & implementation · 1 Questions & unknowns · 1
Blake Richards: I signed! This is common sense, IMO, and would be obvious in most other industries with the potential to have major impacts on other parts of the economy.
Grace Lindsay: I signed! This is common sense, IMO, and would be obvious in most other industries with the potential to have major impacts on other parts of the economy.
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3 experts · 23 posts · 15d ago
Shared emphasis Research & technical analysis · 2
Cian O'Donnell: The field of mathematics is being devastated in front of our eyes. For neuroscience, experimentalists may be safe, but how long until the AI-research wave takes over our computational/theoretical n…
Cian O'Donnell: It would be the development, vetting, and dissemination of new theories and models of brain function. Thats all we currently do. No proofs required 😀 If we are lucky or persuasive these proposals m…
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3 experts · 11 posts · 15d ago
Brad Wyble: Parenting hits exactly the same when you work in AI. If you outsource it your children will be strangers. He's just using a computer instead of a Nanny.
Brad Wyble: I didn't say Nanny's are as bad as AI's, but relying heavily on them does weaken your connection with your children.
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3 experts · 8 posts · 12d ago
Multiple readings Concern & critique · 1 Research & technical analysis · 1
Olivia Guest: The paper we just finished started from an idea ~1 year ago. "USING AI, you can go from idea to paper much faster" I'm told. In that year a lot else happened, professionally and privately. But stil…
Dan Goodman: If you want to get into the competitive professor game, using LLMs is not the most unethical thing you'd be doing. Fortunately, there is still space for people interested in ideas rather than compe…
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2 experts · 15 posts · 19d ago
Multiple readings Building & implementation · 1 Research & technical analysis · 1
Dan Goodman: Ah but her disclaimer, written with Claude. I'd rather read the ranty prompts in Prachee's actual voice and not the final output.
Dan Goodman: I like individual differences even if they're caustic, and things written by Claude smooth that away. It's not just style. LLMs will have a higher friction for generating certain ideas than others …
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2 experts · 3 posts · 19d ago
Shared emphasis Opportunity & adoption · 2
Dan Goodman: LLMs have made extraordinary progress in ways I wouldn't have guessed, but still almost all the promises that have been made (for decades at this point) remain unfulfilled. Based on this evidence, …
Dan Goodman: I think this is a great and really important point. The entire marketing effort for AI is built around the promise of what's coming. And it has been for years now. The only way to avoid buying in t…
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2 experts · 2 posts · 18d ago
Cian O'Donnell: I started neuroscience in 2006, must have been 07/08 when I first heard of optogenetics via a journal club during my PhD. The presenter (my supervisor) said this might win a Nobel prize. I was surp…
Dan Goodman: I came back from NeurIPS in 2010 or 2011 and told my supervisor not to bother with this ML thing because it was just a way to sell adverts. I wasn't entirely wrong, but...
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