
The article discusses the concerns around open-weight AI models, particularly the potential risks they pose to cybersecurity, and highlights the complexity of assessing their real-world impact. It notes that while open-weight models may excel in specific benchmarks, they face challenges in general-purpose tasks and cybersecurity, which requires specialized training. The author emphasizes the need for careful evaluation of model size, training, and deployment to ensure safety and effective use.
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.
