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Frontier-lab analysis: open models, post-training and RLHF, from Nathan Lambert.

14 episodes indexed · ~6.9/month · since 2026-06 · Visit original ↗

HOST Nathan Lambert

Teaching Everyone to Fish for Tokens

2026-08-17 · 6 moments

GLM-5.3: How Chinese labs keep stride with the frontier

2026-08-14 · 6 moments

I wrote an AI textbook — how long until AI can do it better?

2026-08-12 · 6 moments

5 useful things you'll learn in my new post-training textbook (shipping now!)

2026-08-10 · 6 moments

Lessons from the hacks

2026-08-09 · 6 moments

Introducing our Artifacts Hub and Adoption Dashboard

2026-08-03 · 6 moments

Latest open artifacts (#23): Laguna S2.1, Inkling, & Kimi K3 show the utility of open models on the Pareto frontier

2026-08-02 · 6 moments

Open models recap: more on Kimi K3, Qwen 3.8, Xi's WAIC speech, distillation, the open-closed gap, and what's next

2026-07-22 · 6 moments

Kimi K3: The open-weights escalation

2026-07-20 · 12 moments

6 months to live for open models

2026-07-12 · 6 moments

Latest open artifacts (#22): Zyphra, Cohere, and Poolside are expanding the breadth of the ecosystem

2026-06-28 · 6 moments

GLM-5.2 is the step change for open agents

2026-06-22 · 6 moments

Banning Open Source AI Would Be A Mistake

2026-06-19 · 6 moments

State of the blog, mid-2026

2026-06-17 · 6 moments