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Achieving top-tier performance in complex professional tasks with a model significantly smaller than its competitors reveals a new frontier in agentic intelligence.
Real-world proactive agents can now infer latent user needs and act on them in real-time, rivaling state-of-the-art models in intent detection while maintaining low latency.
Stop wasting compute: selectively activating reasoning in embodied agents based on action entropy slashes computational cost while boosting navigation performance.
