How is rapid progress in AI reshaping healthcare and how should clinicians, researchers, and builders think about what comes next? In our first episode of Decoded Health, we explore the frontiers of model reasoning with Niklas Muennighoff, AI researcher at Stanford. We discuss how modern large language models learn to reason, the role of reinforcement learning, and what recent breakthroughs mean for the future of work. We also dive into AI’s real-world impact on healthcare—from virtual cell models and biological foundation models to radiology and medical imaging—and what it takes to translate cutting-edge research into clinical value. Niklas also shares his personal path into AI, how he develops research taste, and what distinguishes impactful research from hype.

Topics covered:

LLM reasoning & reinforcement learning

AI a ...