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The OpenAI Sora 2 team (Bill Peebles, Thomas Dimson, Rohan Sahai) discuss how they compressed filmmaking from months to days, enabling anyone to create compelling video. Bill, who invented the diffusion transformer that powers Sora and most video generation models, explains how space-time tokens enable object permanence and physics understanding in AI-generated video, and why Sora 2 represents a leap for video. Thomas and Rohan share how they're intentionally designing the Sora product against mindless scrolling, optimizing for creative inspiration, and building the infrastructure for IP holders to participate in a new creator economy. The conversation goes beyond video generation into the team’s vision for world simulators that could one day run scientific experiments, their perspective on co-evolving society alongside technology, and how digital simulations in alternate realities may become the future of knowledge work. Hosted by: Konstantine Buhler and Sonya Huang, Sequoia Capital 00:00 Introduction 02:57 Understanding Diffusion Transformers 06:06 Advancements from Sora 1 to Sora 2 08:48 Building a World Simulator 10:44 Data Selection and Training 12:48 Exploring the Future of AI and Physics 17:09 The Journey of Sora's Product Development 23:27 User Engagement and Creation 25:08 Ranking Algorithms and Social Impact 30:33 Preventing Mindless Scrolling 33:23 API Use Cases and Future Vision 34:32 Exploring AI in Gaming 35:01 Creative Potential of AI in Gaming 35:34 Innovative Gaming Concepts 37:40 AI's Role in Creative Filmmaking 39:00 Future of AI in Filmmaking 39:35 Empowering Creators with AI 42:16 Monetizing AI Creations 43:53 The Future of AI-Generated Content 49:03 AI and the Multiverse 50:34 Existential Questions in AI 51:18 Theoretical Limits of AI 51:57 Lightning Round