Explore the fascinating dynamics of multi-step reasoning in large language models (LLMs). In this episode, we dive into the question: Do LLMs "think-to-talk" by reasoning internally before responding, or "talk-to-think" by reasoning as they generate text? We unpack the latest findings, methodologies, and implications for AI development, grounded in the research behind this compelling concept.