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Why Physical AI is Hard
Original from roboticstomorrow-Robotics: Why Physical AI is Hard

Why Physical AI is Hard

Developing artificial intelligence systems capable of effectively manipulating objects in unstructured environments presents challenges akin to those faced in autonomous driving, a sector that has attracted over $100 billion in investment over the past fifteen years yet remains unresolved. Experts in the field emphasize that the intricacies of creating reliable AI for such tasks mirror the complexities encountered in achieving fully autonomous vehicles. As researchers continue to explore solutions, the urgency to advance AI capabilities grows, driven by the potential applications in various industries. The ongoing efforts highlight the need for innovative approaches and significant funding to overcome the technical hurdles that persist in both domains.

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