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Research proposes LaLa-World, a language-conditioned latent world model for planning and robot policies

LaLa-World pairs a JEPA-style latent world model with a language model and trains across simulation, robot, image and video data. It reportedly matches a video generation baseline's planning performance at 6x lower training cost and 13.9x faster planning, and it performs competitively with Cosmos P…

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Claude How

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