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LALMs struggle to keep track of sparse events across hours of audio, unlike humans who excel at this, revealing a key memory persistence bottleneck.
Forget robot-specific fine-tuning: a unified diffusion model can now learn policies across diverse robot embodiments, boosting performance by 15% and opening doors to truly generalizable robotic agents.
