
The article discusses Nathan Lambert's departure from the Allen Institute for AI, highlighting his advocacy for open science and collaborative research, including his work on the Olmo models and the RLVR framework. Lambert reflects on the importance of public science, the impact of open models, and the need for a supportive ecosystem for researchers. He emphasizes the value of open innovation and the potential of AI to address real-world challenges, while stressing the role of sustained investment in open science.
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.
