This podcast episode explores the intricacies of video diffusion models, discussing their complexities, technical aspects, advantages, and challenges. It delves into video generation compared to text and image generation, highlighting computational and data hurdles. The discussion also examines the potential and applications of long context windows in video models and the use of AI-generated videos as world simulators. Stefano Ermat, an expert in generative AI, provides insights into Fusion Models, DDIM, and OpenAI's Sora model, offering his perspective on the progress and implications of these developments in AI.
