Interconnects
Frontier-lab analysis: open models, post-training and RLHF, from Nathan Lambert.
19 episodes indexed · ~6.6/month · since 2026-06 · Visit original ↗
HOST Nathan Lambert
Open-Source AI & Open Models Reading List
2026-09-11 · 0 moments
Open-Source AI Reading List
2026-09-11 · 0 moments
One resignation turned the embers of AI fear into a wildfire
2026-09-10 · 0 moments
When will average people feel AI’s impact?
2026-09-09 · 0 moments
Latest open artifacts (#24): Motif-3, GLM-5.3, Hy4-preview and open model licenses
2026-09-08 · 0 moments
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