Sitemap - 2026 - Interconnects AI
Teaching Everyone to Fish for Tokens
GLM-5.3: How Chinese labs keep stride with the frontier
I wrote an AI textbook — how long until AI can do it better?
5 useful things you'll learn in my new post-training textbook (shipping now!)
Introducing our Artifacts Hub and Adoption Dashboard
Kimi K3: The open-weights escalation
6 months to live for open models
Latest open artifacts (#22): Zyphra, Cohere, and Poolside are expanding the breadth of the ecosystem
GLM-5.2 is the step change for open agents
Banning Open Source AI Would Be A Mistake
Frontier post-training recipe review with Finbarr Timbers
Welcome to the AGI era of AI governance
Claude Fable 5 and new AI safety fables
Open and closed models are on different exponentials
Some ideas for what comes next, May 2026
How open model ecosystems compound
Notes from inside China's AI labs
Reading today's open-closed performance gap
My bets on open models, mid-2026
What I’ve been building: ATOM Report, post-training course, finishing my book, and ongoing research
The inevitable need for an open model consortium
Claude Mythos and misguided open-weight fearmongering
Gemma 4 and what makes an open model succeed
GPT 5.4 is a big step for Codex
What comes next with open models
Dean Ball on open models and government control
Olmo Hybrid and future LLM architectures
How much does distillation really matter for Chinese LLMs?
Open models in perpetual catch-up
Opus 4.6, Codex 5.3, and the post-benchmark era
Why Nvidia builds open models with Bryan Catanzaro
Thoughts on the job market in the age of LLMs
Arcee AI goes all-in on open models built in the U.S.