▶ deepseek·
Latest open artifacts (#21): Open model bonanza! Gemma 4, DeepSeek V4, Kimi K2.6, MiMo 2.5, GLM-5.1 & others. On CAISI's V4 assessment.
An eventful month with one flagship release after another
items22 latest
▶ ai·
How open model ecosystems compound
Further reflections on China's high-participation, open-first AI ecosystem.
▶ ai·
Notes from inside China's AI labs
Lessons from my trip to talk to most of the leading AI labs in China.
▶ ai·
The distillation panic
‘Distillation attacks’ is a horrible term for what is happening right now.
▶ ai·
Reading today's open-closed performance gap
The complex factors that determine the single evaluation number so many focus on. Plus, how this changes in the future.
▶ ai·
My bets on open models, mid-2026
What I expect to come next and why, focused on the open-closed gap.
▶ ai·
What I’ve been building: ATOM Report, post-training course, finishing my book, and ongoing research
What I've been up to!
▶ ai·
The inevitable need for an open model consortium
And yes, I hate consortia too.
▶ claude·
Claude Mythos and misguided open-weight fearmongering
Another dance around fears of open-source.
▶ ai·
Gemma 4 and what makes an open model succeed
Hint: it's not benchmark scores.
▶ nemotron·
Latest open artifacts (#20): New orgs! New types of models! With Nemotron Super, Sarvam, Cohere Transcribe, & others
New orgs! New types of models! With Nemotron Super, Sarvam, Cohere Transcribe, & others
▶ ai·
Lossy self-improvement
The case for why self-improvement is real but it doesn't lead to fast takeoff.
▶ gpt·
GPT 5.4 is a big step for Codex
On evaluating and understanding the frontier of agents, and why I still turn to Claude.
▶ ai·
What comes next with open models
Markets, capabilities, cope, and bewilderment in the industrialization of language models.
▶ ai·
Dean Ball on open models and government control
Subtle precedents on the future of open models set by the unfolding Anthropic v. Department of War case.
▶ ai·
Olmo Hybrid and future LLM architectures
The latest Olmo model and discussions at the frontier of open-source post training tools.
▶ qwen·
Latest open artifacts (#19): Qwen 3.5, GLM 5, MiniMax 2.5
Welcome to the year of the horse!
▶ ai·
How much does distillation really matter for Chinese LLMs?
Reacting to Anthropic's post on "distillation attacks."
▶ ai·
Open models in perpetual catch-up
The open-closed gap, distillation, innovation timescales, how open models win, specialized models, what’s missing, etc.
▶ claude·
Opus 4.6, Codex 5.3, and the post-benchmark era
On comparing models in 2026.
▶ ai·
Why Nvidia builds open models with Bryan Catanzaro
Interconnects interview #17 on the past, present, and future of the Nemotron project.
▶ ai·
Latest open artifacts (#18): Arcee's 400B MoE, LiquidAI's underrated 1B model, new Kimi, and anticipation of a busy month
Tons of useful "niche" models and anticipation of big releases coming soon.