Ming-Yu Liu, Vice President of Research at NVIDIA and an IEEE Fellow, dives into world foundation models transforming industries like self-driving cars and robotics. He explains how these advanced neural networks simulate real-world environments to enhance AI workflows. Liu highlights the crucial differences between world models and generative AI, discusses the significance of open-weight models, and introduces the Cosmos platform. The conversation sheds light on the future of physical AI and the importance of accurate simulations for safe deployment.