
The ATOM Report examines the open language model ecosystem, tracking model adoption and market share, with updates to the Relative Adoption Metric (RAM) and insights into the growth of GPT-OSS, Chinese mid-tier models, and U.S. open models. The RLHF Book is available for pre-order, offering a comprehensive resource for post-training language model learning, and a post-training course is being developed to support learning through lectures, codebases, and events. Recent research explores multi-turn dialogue and reinforcement learning, emphasizing the importance of multi-turn interactions and the potential of reinforcement learning in AI development.
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.
