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 jeremymorrell.dev ×

The developments commanding sustained expert attention

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What experts are discussing without an anchoring article

4 experts · 9 posts · 5d ago
Multiple readings Opportunity & adoption · 1 Questions & unknowns · 1
Liz Fong-Jones (方禮真): the cache read price decrease is nice at least for those of us who are locked into big A\ contracts
Liz Fong-Jones (方禮真): I gotta ask though, why does higher tok/sec matter? I find I go horizontal with concurrent work rather than trying to power through any 1 thing at LLM token generation speed, plus you eventually bo…
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3 experts · 16 posts · 16d ago
Multiple readings Building & implementation · 2 Questions & unknowns · 1
austin: some thoughts - there’s a fucking cambrian explosion of software but it’s invisible because it’s personal. github isn’t getting hugged every other week for nothin’
austin: - the software you see on your phone and in the world is the product of organizations, and organizations move s l o w l y. developers are significantly more productive but it doesn’t matter if that…
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3 experts · 4 posts · 19d ago
Shared emphasis Questions & unknowns · 2
Colin: I’ll posit that there will be some open problems that LLMs will be able to do and some that they won’t
jeremymorrell.dev: If something is unsolved I don’t think we have much of a basis for measuring how hard it is? Maybe Navier-Stokes was one of the “easier” ones and P vs NP is orders of magnitude more difficult, requ…
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