John Schulman is a co-founder of OpenAI and one of the core developers behind ChatGPT. Recent coverage centers on his X posts about AI safety and distributed control, his support for embedding third-party evaluators and for Dario Amodei's essay on pacing the frontier, and a Dwarkesh Patel podcast with Beren Millidge and Charlie O'Neill on recursive self-improvement that was discussed on Hacker News.
inspiring post, and glad to be working together! [Quoting @ChowdhuryNeil]: I’ve joined @thinkymachines to work on safety & alignment. The default trajectory is that as AI gets more powerful, control over it will concentrate in the hands of a few. I’d rath…
would be nice if anthropic's approach to elon could also work with china
Embedding evaluators is a big positive development, and props to Sam/OpenAI for agreeing to do it as well. It's been cool to see "pacing the frontier" become a thing so quickly. [Quoting @DarioAmodei]: We Must Pace the Frontier: I’ve written a new essay on wh…
Enjoyed chatting with Dwarkesh, Beren, and Charlie. Thanks for having us on, Dwarkesh! [Quoting @dwarkesh_sp]: New episode with @johnschulman2, @oneill_c and @BerenMillidge. I got together with some of the most insightful AI researchers I know who are at the…
Researchers debate recursive self-improvementA Hacker News thread covers an interview by Dwarkesh Patel with John Schulman, Beren Millidge, and Charlie O’Neill debating the feasibility and progress of recursive self-improvement, and references tools like Antithesis and Grok Bot as applied examples.
As a follow-up, it's exceedingly unlikely that training on user data contributes much to frontier model gains in areas like math -- those come from scaling up pretraining and RLVR. User data is more likely used to find failure modes or situations that are har…
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