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A world-model-centric approach enables autonomous agents to effectively navigate cognitive-physical limits, achieving an impressive 88.3% success rate in high-speed racing scenarios.
Context governance can elevate AI retrieval systems by ensuring that only verified, high-quality knowledge is utilized, outperforming traditional methods in both quality and consistency.