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Video generation models as world simulators

This technical report focuses on (1) our method for turning visual data of all types into a unified representation that enables large-scale training of generative models, and (2) qualitative evaluation of Sora’s capabilities and limitations. Model and implementation details are not included in this report.Much prior work has studied generative modeling of video data using a variety of methods, including recurrent networks,[^1][^2][^3] generative adversarial networks,[^4][^5][^6][^7] autoregressi...

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