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The data pyramid framework reveals how the interplay of diverse data sources can unlock new capabilities in embodied agents, highlighting critical gaps in current methodologies.
Semantic masks are all you need: predicting mask dynamics in world models yields surprisingly robust and generalizable robot policies compared to predicting raw pixels.
