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Scaling zero RL to a trillion parameters reveals that models can spontaneously develop advanced cognitive behaviors, making traditional heuristics obsolete.
Treating raw visual images as action representations revolutionizes embodied control, outperforming traditional methods in accuracy and generalization.
Existing video world models struggle with long-term memory retention, and MBench exposes their critical limitations while providing a structured path for future improvements.
