Sitemap - 2026 - Interconnects AI
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.