Really enjoyed this piece. Learned quite a bit about the value of test-time compute and the way that reinforcement learning can be used to train reasoning into a model.
My jaw dropped a tiny bit when I read that “the model discovers on its own the most optimal Chain-of-Thought-like behavior, including advanced reasoning capabilities such as self-reflection and self-verification.”
Fantastic article and depth! I came out understanding a good bit more than I knew going in. Thanks!