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MLLMs are failing to visually track events in videos, performing only modestly above baseline despite strong results on other benchmarks.
Forget painstakingly engineering robot behaviors: DreamZero learns directly from video of other robots or even humans, adapting to new tasks and bodies with just minutes of data.