Teaching Everyone to Fish for Tokens
Nvidia wants you building your own model, not buying from Anthropic/OpenAI.
Interconnects AI
The cutting edge of AI, from inside the frontier AI labs, minus the hype. The border between high-level and technical thinking. Read by leading engineers, researchers, and investors.
Live Last read · last published · next check
Latest posts
Saves to your Listen queue, to pick up on another day or another device.
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.
Latest open artifacts (#23): Laguna S2.1, Inkling, & Kimi K3 show the utility of open models on the Pareto frontier
Capacity to train strong models is proliferating.
Open models recap: more on Kimi K3, Qwen 3.8, Xi's WAIC speech, distillation, the open-closed gap, and what's next
A podcast with Florian Brand.
Kimi K3: The open-weights escalation
The global implications on the AI ecosystem.
6 months to live for open models
The most serious test to date of open source AI’s viability is happening right now.