korrents
Nathan Lambert

What Nathan Lambert thinks about Anthropic

@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.

We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.

Filter Anthropic · Newest first
Topic
All 55LLMs 28open source 11AI alignment 6America 6China 5AGI 3Anthropic 3innovation 3reinforcement learning 3
23 more topics
AI and science 2infrastructure 2OpenAI 2recursive self-improvement 2scaling laws 2semiconductors 2AI agents 1AI and jobs 1AI writing 1censorship 1creativity 1cybersecurity 1education 1energy 1measuring intelligence 1motivation 1neural networks 1politics 1quantum mechanics 1Silicon Valley 1startups 1taste 1writing 1
Sort
NewestOldest

Only Nathan Lambert on Anthropic. See everyone on Anthropic

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

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

  1. Our readingEmployees at frontier AI labs, particularly Anthropic, are out of touch in ways that distort their forecasts and accounts of AI events.

    Their wordsMany frontier lab employees, especially at Anthropic, are out of touch and this will impact their forecasting and/or descriptions of current AI events.

    ↗One resignation turned the embers of AI fear into a wildfireinterconnects.ai 2nd of 3 in this piece

  2. 4 weeks earlier

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

    OpenAI

    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

  4. 18 months earlier

  5. Our readingMaking safety your number one goal costs real release speed, and on a steep progress curve that shows up directly as a worse-looking model.

    America

    Their wordsWe know that a lot of the American companies are very invested in safety, and that is the central culture of a place like Anthropic. And I think Anthropic sounds like a wonderful place to work, but if safety is your number one goal, it takes way longer to get artifacts out.

    ↗DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459youtube.com 18th of 44 in this recording