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The Man Taking on Tesla in the Race for Humanoid Robots w/ Brett Adcock | EP #116
Moonshots with Peter Diamandis
Evolution of AI and Robotics: Past Limitations, Present Capabilities
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The current AI ecosystem encompasses various elements such as training infrastructure, deep learning algorithms, and deployment processes, all of which are advancing to enable the implementation of effective policies in real-world scenarios. The evolution of AI has led to capabilities that allow autonomous systems, like Waymo vehicles, to operate with human-like proficiency thanks to extensive data training. Additionally, hardware advancements, particularly in actuator torque density and battery energy density, have revolutionized robot design. Ten years ago, the best humanoid robots relied on hydraulic systems, which posed safety risks and operational challenges. Continuous progress in electromechanical systems has made current levels of functionality and safety possible, indicating significant improvements since prior architectural decisions.
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