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Teaching Everyone to Fish for Tokens
Nvidia wants you building your own model, not buying from Anthropic/OpenAI.
Aug 17
•
Nathan Lambert
72
7
GLM-5.3: How Chinese labs keep stride with the frontier
Hint: It’s really not a distillation story.
Aug 14
•
Nathan Lambert
131
2
14
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.
Aug 12
•
Nathan Lambert
95
14
5 useful things you'll learn in my new post-training textbook (shipping now!)
Reinforcement Learning from Human Feedback is coming to a neolab near you.
Aug 10
•
Nathan Lambert
55
2
Lessons from the hacks
Musings on model alignment, what determines safety, and where we go from here.
Aug 9
•
Nathan Lambert
62
4
Introducing our Artifacts Hub and Adoption Dashboard
Scaling our curation and measurement of the open ecosystem.
Aug 3
•
Nathan Lambert
61
4
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.
Aug 2
•
Florian Brand
and
Nathan Lambert
43
3
July 2026
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.
Jul 22
•
Nathan Lambert
and
Florian Brand
37
2
4
49:04
Kimi K3: The open-weights escalation
The global implications on the AI ecosystem.
Jul 20
•
Nathan Lambert
154
1
24
6 months to live for open models
Staring down the barrel of policy action that could make open models a permanent second class citizen.
Jul 12
•
Nathan Lambert
91
6
17
June 2026
Latest open artifacts (#22): Zyphra, Cohere, and Poolside are expanding the breadth of the ecosystem
An assessment of the open ecosystem and the motivations behind releasing models
Jun 28
•
Florian Brand
and
Nathan Lambert
32
2
GLM-5.2 is the step change for open agents
A capability threshold I've been carefully monitoring.
Jun 22
•
Nathan Lambert
147
1
17
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