Arxiv: https://arxiv.org/abs/2508.19229

This episode of "The AI Research Deep Dive" unpacks "Stepwiser," a paper from Meta AI that introduces a powerful new way to teach AI models how to reason correctly. The host explains the limitations of current methods, which often only tell a model if its final answer is right or wrong, offering no insight into where its logic went astray. Listeners will learn about Stepwiser's intuitive solution: a "generative judge" that doesn't just score a model's reasoning but first generates its own step-by-step analysis explaining why a particular step is correct or flawed—a process called "meta-reasoning." The episode highlights how this more transparent and accurate judge, trained with a sophisticated reinforcement learning pipeline, can then be used to dramatically improve a model's problem-solving skills in real-time