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AGI autonomy is enabling AI to physically interact with the world, moving beyond purely digital environments. Current AI systems rely heavily on vast datasets, but real intelligence comes from hands-on experience, trial-and-error learning, and adapting to dynamic environments. By integrating AGI with advanced robotics, AI can engage in real-world reinforcement learning, where it navigates, manipulates objects, and responds to unpredictable conditions in ways that mimic human cognition. The breakthrough will come when AGI-powered robots can learn in real-time, self-correct without explicit reprogramming, and operate effectively across diverse physical environments—ushering in an era where AI is not just computationally advanced, but functionally intelligent in the real world.