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Physical Intelligence is developing generalized robotic foundation models that can learn from experience and perform diverse tasks across different robot embodiments, using end-to-end learning and reinforcement learning to overcome previous robotics limitations.
Peter Norvig discusses the evolution of AI, emphasizing a human-centered approach that focuses on designing AI systems to elevate human capabilities, support better decision-making, and promote fairness across various domains like business, education, and leadership.
Ben Horowitz discusses how the US has lost ground in AI to China through restrictive policies, emphasizing the importance of open-source AI development and the critical role of cultural values encoded in AI model weights.
Sebastian Thrun shares his journey of innovation across multiple groundbreaking projects like self-driving cars, Udacity, and flying cars, highlighting his passion for using technology to meaningfully improve people's lives.