What Nathan Lambert thinks about OpenAI

@nathan-lambert · 55 positions · On ppll ↗

Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.

Nathan Lambert did not write this page.

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Only Nathan Lambert on OpenAI. See everyone on OpenAI

2 dated positions, 2025 to 2026, in their own words. Our reading of what Nathan Lambert has said — not written or endorsed by them.

2 positions so far — this page is not yet offered to search engines.

1. 14 Aug 2026

   Our readingOpenAI and Anthropic's internal, unreleased models are likely far more capable than Z.ai and Moonshot AI's public models.

   Anthropic

   Their wordsIt is very, very likely that OpenAI and Anthropic have far better internal models than Z.ai and Moonshot AI.

   ↗GLM-5.3: How Chinese labs keep stride with the frontierinterconnects.ai 1st of 3 in this piece

2. 18 months earlier

3. 3 Feb 2025

   Our readingOpenAI's claim that DeepSeek trained on its outputs is narrative management: other startups bootstrapped exactly that way and were never banned for it.

   startups

   Their wordsI think that they're trying to shift the narrative. They're trying to protect themselves. We saw this years ago when ByteDance was actually banned from some OpenAI APIs for training on outputs. There's other AI startups that most people, if you're in the AI culture, were like they just told us they trained on OpenAI outputs and they never got banned.

   ↗DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459youtube.com 30th of 44 in this recording