This podcast episode features Jim Fan from Nvidia, who explores the evolution of embodied AI and robotics, delving into the importance of diverse data types for building foundation models that can operate in both virtual and physical environments. Fan highlights Nvidia's ambitious Project GR00T, which aims to create humanoid robots capable of generalizing tasks, drawing parallels to the advancements seen in NLP with models like GPT-3. He articulates a future where intelligent, general-purpose robots transform industries by utilizing cutting-edge technologies and data strategies to bridge the gap between simulation and reality.
