Training Data OpenAI Sora 2 Team: How Generative Video Will Unlock Creativity and World Models
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Nov 6, 2025 
Bill Peebles, the head of OpenAI's Sora team and inventor of the diffusion transformer, leads a discussion on revolutionizing filmmaking from months to days. Along with Thomas Dimson, who optimizes for creative engagement, and Rohan Sahai, product lead focusing on user diversity, they explore how Sora’s innovative tech redefines video creation. Topics include the design against mindless scrolling, future world simulators for scientific breakthroughs, and the potential for AI-generated content to win awards, all while aiming to democratize creativity.
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Space-Time Tokens Unlock Object Permanence
- Diffusion transformers generate video by denoising whole space-time patches instead of token-by-token autoregression.
- This enables global context across frames, producing object permanence and consistent physics.
Failures That Respect Physics
- Sora 2 improves physics fidelity so failures obey physics rather than contrived semantics.
- That shift indicates implicit agent-like world models emerging at larger scale.
Video Scale Produces World Simulators
- Scaling video models yields more explicit internal world simulators similar to language models' world models.
- Space-time patches make those simulators more direct and general across visual modalities.