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World-action models and human video for robot training
Latent Space says Dyna Robotics’ Jason Ma explains how world-action models predict the future to guide robots’ physical actions.
TLDR
Latent Space says Dyna Robotics’ Jason Ma argues that training on over a million hours of human video lets robots adapt to new tasks with as little as 45 minutes of demonstrations. He also discusses how synthetic data and self-improving world models could accelerate robotics, alongside hour-long autonomous workflows and real-world deployments at Din Tai Fung.
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