Dashiell

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Directory member with public evidence across AI research.

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Machine learning haruspex

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I don't think there's a world where mathematicians aren't pissed about this. 1. Dumping everything is what the advisory group said 2. Just yesterday people were mad that Ant paid two experts to digest the 3SUM result What is the middle path where everyone is happy? github.com/…

GitHub - openai/math github.com
AI Weekly's analysis →
  • OpenAI released 722 manuscripts organized into 372 families, produced by an unreleased internal model given roughly 4,000 problems.
  • Each result used, on average, three hours of ChatGPT Pro thinking compute with that model.
  • Not all manuscripts carry Lean formalizations, and OpenAI warns some unformalized results 'could have issues.'
Read full analysis →
View on Bluesky · ♥ 0 ↻ 0 ↩ 1 · 11 from the directory shared this · 15d ago

I think the recommendations are the only thing that has been published agmai.org/general-sep29/

general-sep29 agmai.org
View on Bluesky · ♥ 6 ↻ 0 ↩ 2 · 5 from the directory shared this · 15d ago

I would be very interested to see a survey! I know more people who are some combination of pissed and grieving than who are particularly excited, but you prob have a bigger network than me. I am also basing this a bit off the writing here proofsandprompts.com

Proofs and Prompts proofsandprompts.com
View on Bluesky · ♥ 0 ↻ 0 ↩ 1 · 2 from the directory shared this · 2d ago

Recent commentary

AI safety folks should be way more worried about concentration of power than the proliferation of powerful models

View on Bluesky · ♥ 76 ↻ 10 ↩ 3 · 85d ago

I kinda think that grappling with modern ML turns you at least a little insane. If you aren't at least a little crazy it's because you have not engaged with it enough

View on Bluesky · ♥ 26 ↻ 3 ↩ 2 · 22d ago

It would be wild if AI can find more galactic algorithms. My sense is that up till now computer science has treated them like a pathology, but if they are everywhere we might have tk take them seriously

View on Bluesky · ♥ 3 ↻ 0 ↩ 0 · 2d ago

As recently as 2024 I would say to other ML researchers that I thought LMs were overrated. I was wrong

View on Bluesky · ♥ 2 ↻ 0 ↩ 0 · 42d ago

Now that I have a more normal ML job that I don't need to learn more math for I can spend my time learning algebraic geometry

View on Bluesky · ♥ 2 ↻ 0 ↩ 0 · 152d ago

Do we have any idea whether or not it was regular agentic RL pressure that has caused the most recent crop of alignment issues? For a while it seemed from the outside like the Askell-ite idea of "raise Claude to be good" was working really well

View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 37d ago

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