AI researchers debate how close we are to recursive self-improvement
Dwarkesh Podcast

AI researchers debate how close we are to recursive self-improvement

B2Upper-intermediateSeptember 11, 20261 hr 37 min
  • Interview
  • Technology

New episode with John Schulman, Beren Millidge and Charlie O’Neill. I got together with some of the most insightful AI researchers I know who are at the openish companies, because I wanted to hear the details of what's actually happening at the frontier and what comes next. Watch on YouTube; read the transcript. Sponsors * Antithesis helps you trust your code. As agents generate more and more of your software, the bottleneck shifts from your engineers actually writing code to verifying it. Antithesis does that testing for you. Ron Minsky, who co-leads Jane St...

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Today, I'm chatting with three of my AI researcher friends from whom I learn a lot every time we talk, and who also happen to be at somewhat open-ish labs and companies,

0:09

so you guys can actually say things on the record. I'm joined by Baron Milish, who is the CTO of Zephyr, which is developing open source models. John Shulman, who is the Chief Scientist at Thinking Machines,

0:19

previously the co-founder of OpenAI, led the R-Litch F-Work that led to Chetchee PT, and Charlie O'Neill, who is Head of Model Training at Base 10.

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