Evidence receipt / uncertainty
Published · transcript-backedNathan Lambert: uncertainty
3 Feb 2025 Lex Fridman Podcast #459 – DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters
“Is running in parallel actually search? Because I don’t know if we have the full information on how o1-pro works.”
Source trail
Everything needed to verify it.
- Speaker
- Nathan Lambert
- Attribution
- Verified speaker
- Claim type
- uncertainty
- Recorded
- 3 Feb 2025
- Publisher
- Lex Fridman Podcast
Transcript context
…Not by a lot though, right? And R1 definitely felt to me like it was worse than V3 in certain areas, like doing this RL expressed and learned a lot, but then it weakened in other areas. And so I think that’s one of the big differences between these models and what one offers. And then OpenAI has o1-pro, and what they did with o3, which is also very unique, is that they stacked search on top of chain of thought. And so chain of thought is one thing where it’s one chain, it backtracks, goes back and forth, but how they solved the ARC-AGI challenge was not just the chain of thought, it was also sampling many times, i.e., running them in parallel and then selecting. Is running in parallel actually search? Because I don’t know if we have the full information on how o1-pro works. So, I don’t have enough information- Agreed.…
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