Nathan Lambert
Post-training and open models researcher.
Signals · 13
Debating RSI, the US-China Gap, and Jaggedness with JS Denain of Epoch AI — Podcast #19
Nathan Lambert hosts JS Denain of Epoch AI to discuss recursive self-improvement, the US-China AI gap, and capabilities jaggedness.
The current balance of power in open models — The expanded form of a testimony I prepared for Congress.
Nathan Lambert shared an expanded version of his congressional testimony regarding the balance of power in open-source AI models.
Why I still haven’t bought into true RSI — An “AI moderate’s” view on recent events and the trajectory of frontier models.
Nathan Lambert explains why he remains skeptical about true recursive self-improvement in frontier AI models.
Open-Source AI & Open Models Reading List — How to get up to speed on open models and their implications.
Nathan Lambert shared a reading list to help readers understand open-source AI, open models, and their implications.
One resignation turned the embers of AI fear into a wildfire — Some quick notes on a truly weird week.
Nathan Lambert discusses how a single resignation escalated public fear and concern surrounding artificial intelligence.
When will average people feel AI’s impact? — We’re <5 years into a compounding revolution which could take a century, and how the AI industry should manage this.
Nathan Lambert discusses when average people will feel AI's impact and how the industry should manage this long-term compounding revolution.
Latest open artifacts (#24): Motif-3, GLM-5.3, Hy4-preview and open model licenses — The open model ecosystem continues to expand in its breadth
Nathan Lambert highlights the expansion of the open model ecosystem with new releases including Motif-3, GLM-5.3, and Hy4-preview.
Teaching Everyone to Fish for Tokens — Nvidia wants you building your own model, not buying from Anthropic/OpenAI.
Nvidia is encouraging companies to build custom AI models rather than relying on proprietary systems from OpenAI and Anthropic.
GLM-5.3: How Chinese labs keep stride with the frontier — Hint: It’s really not a distillation story.
I wrote an AI textbook — how long until AI can do it better? — Reflections on AI's writing ability and how AI models get more capable.
5 useful things you'll learn in my new post-training textbook (shipping now!) — After a few long years of finding time to document my lessons from training open models, my post-training book is done!
Lessons from the hacks — Musings on model alignment, what determines safety, and where we go from here.
Introducing our Artifacts Hub and Adoption Dashboard — Scaling our curation and measurement of the open ecosystem.