
Key Loutius
@mri
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The next step toward 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. That's it my insights so far @jamai 0 reply
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