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For the first time, a scaling law for quadruped motion tracking reveals that performance consistently improves with larger training datasets, unlocking new capabilities in robotic locomotion.
The Random-Offerer mechanism, a staple in bilateral trade, can be even *more* inefficient than we thought – AI-guided search just found a distribution where it captures 2.0749x less gains from trade than the optimal mechanism.
Forget task-specific architectures: a single Vision-Language-Action foundation model, ABot-N0, now dominates embodied navigation across five distinct tasks.
