
The article discusses the evolving landscape of open and closed AI models, highlighting the growing competition between U.S. and Chinese AI initiatives, the challenges of predicting AI's impact, and the need for neutral information to guide AI development. Open models, such as Gemini 3.5 Flash and Gemma 4, are gaining traction but remain behind closed models in terms of capabilities and adoption. The open-closed balance is becoming clearer as real-world use increases, but the U.S. and China are asserting their influence in the AI ecosystem.
Reflections on AI's writing ability and how AI models get more capable.

After a few long years of finding time to document my lessons from training open models, my post-training book is done!

Musings on model alignment, what determines safety, and where we go from here.
