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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.

2,364 searchable experts 2,966 tracked across all sources
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4 experts · 14 posts · 9d ago
Matches Research & technical analysis
“Why do I always have to give you physicists so much money, for laboratories and expensive equipment? Why couldn't you be like the math department? All they need is money for pencils, paper and wast…” evidence ↗
Multiple readings Markets & investment · 1 Research & technical analysis · 1
Isaiah Bishop: Mathematicians have always kind of been in it for the love of the game, but thats a weird funding model for the govt. Like fund this weird dudes research into fundamental normalized co-sheafs of di…
Ben Recht: Hate to say it, but we pay them to teach calculus.
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2 experts · 6 posts · 5d ago
Matches Research & technical analysis
“i was told that LLMs are always optimized towards a fixed benchmark, i mentioned you could create a living benchmark that moved to people's tastes but could never be strictly satiated, was told tha…” evidence ↗
Multiple readings Policy & governance · 1 Research & technical analysis · 1
Isaiah Bishop: FWIW i had to argue with the bird lawyer about what deterministic was, and it was maybe the worst conversation i had on here
Isaiah Bishop: i was told that LLMs are always optimized towards a fixed benchmark, i mentioned you could create a living benchmark that moved to people's tastes but could never be strictly satiated, was told tha…
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2 experts · 8 posts · 14d ago
Matches Research & technical analysis
“my take on agentic systems is that they're the hand-engineered way to do inference-time scaling and that the a lot of the core work there should and will be bitter-lessoned away eventually.” evidence ↗
Multiple readings Research & technical analysis · 1 Questions & unknowns · 1
Adverb: my take on agentic systems is that they're the hand-engineered way to do inference-time scaling and that the a lot of the core work there should and will be bitter-lessoned away eventually.
Isaiah Bishop: implies that the moat there is pretty weak i think? if the limit is resources surely anyone can do it
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3 experts · 3 posts · 14d ago
Matches Research & technical analysis
“(this is secretly a post about anthropic's "j-space" paper)” evidence ↗
Multiple readings Research & technical analysis · 1 Context & explanation · 1
rev. howard arson: the thing about using point samples of public opinion is that they are point samples, not the integral of change in opinion per message. in other words, they reflect what people already believe, no…
David Marx: (this is secretly a post about anthropic's "j-space" paper)
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2 experts · 7 posts · 15d ago
Matches Research & technical analysis
“large scale training, especially RL gets very big. very parallel. thousands of instances of the model all running at once. the latency between all those instances is quite sensitive, so density mat…” evidence ↗
Multiple readings Building & implementation · 1 Research & technical analysis · 1
Tim Kellogg: not sure how many people appreciate how much latency effects datacenter placement Northern Virginia was the original hotbed because it was the latency centroid of the East Coast but AI workloads ar…
Isaiah Bishop: do they even have to huge?
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