
In this episode of Training Data, Konstantine Buhler and Sonya Huang from Sequoia Capital interview Bill Peebles, Thomas Dimson, and Rohan Sahai, the team behind OpenAI's Sora. The discussion covers the technical aspects of Sora, including diffusion transformers, space-time tokens, and the development of internal world simulators. They explore the differences between Sora 1 and Sora 2, emphasizing the advancements in physics understanding and agent-like behavior. The conversation shifts to the application of Sora, particularly its social applications, the focus on creation over consumption, and the potential for new forms of creative expression, including film making and gaming. The team also touches on the importance of partnerships with IP holders and the future direction of Sora, including the development of digital clones and the potential for scientific discovery within the platform.
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