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Video generation models as world simulators
We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of high fidelity video. Our results suggest that scaling video generation models is a promising path towards building general purpose simulators of the physical world.
OpenAI says Voice Engine might be too risky to release
OpenAI says it ran a small-scale test of its new voice cloning product Voice Engine with a few select partners. The results show promising applications for the tech, but safety concerns may keep it from being released. OpenAI says that Voice Engine can clone a human’s voice based on a single 15-second recording of their voice. The tool can then generate “natural-sounding speech that closely resembles the original speaker.” Once cloned, Voice Engine can turn text inputs into audible speech using “emotive and realistic voices.” The tool’s capability makes exciting applications possible but raises serious safety issues too. Promising use
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