Nathan LAMBERT
Nathan is the Co-founder and Executive Director of Trillium Labs, a nonprofit fostering the open science of frontier AI. He is a machine learning researcher who works on building, understanding, and advocating for open language models and other responsible autonomous systems.
Papers → Google Scholar or CV Talks → See Library Newsletter → Interconnects.ai Book → RLHF Book ('26) Open Models → Artifacts Hub ('26), Adoption Dashboard ('26), ATOM Project ('25)
Recent: I've launched Trillium Labs to foster the open science of frontier AI (read our introduction post here). My RLHF Book is done! I've also launched a post-training course to accompany it. In April I had the pleasure of visiting a lot of open model labs in China; read my trip report here.
Podcast appearances
I host Interconnects Interviews covering the latest technical trends in AI. Otherwise, I sometimes appear on friends' podcasts:
- Sep. 2026: ChinaTalk (ModelTalk) - Pacing the Frontier, with Jasmine Sun.
- Jul. 2026: Valley101 - I went on a popular Chinese language podcast to discuss my trip to China's AI labs.
- Jun. 2026: High Capacity - Mythos, China, and a New Era of AI Regulation.
Guides
Some useful links for graduate students and academics.
- How to Review a Paper - My process for writing thorough paper reviews.
- Applying to Graduate School - Advice for prospective graduate students.
Popular Posts
Some of my most popular posts before transitioning to Substack (Top Posts there).
- Job Search as a PhD in ML - My experience on the AI job market.
- AI Research Job Market (Part 2) - Follow-up thoughts on the job market.
- Debugging Model-Based RL Systems - Practical debugging strategies.
Other
- Contact - Get in touch with me.
- Bookshelf - Books I've read and recommend.
- Buy me a ☕️ - Support my work.
- The Retort - Retired podcast on the political economy of AI.
- Semantic Scholar · PhD Thesis