Maohao Shen, a PhD student at MIT specializing in AI reliability, discusses his groundbreaking work on 'Satori.' He reveals how it enhances language model reasoning through reinforcement learning, enabling self-reflection and exploration. The podcast dives into the innovative Chain-of-Action-Thought approach, which guides models in complex reasoning tasks. Maohao also explains the two-stage training process, including format tuning and self-corrective techniques. The conversation highlights Satori’s impressive performance and its potential to redefine AI reasoning capabilities.