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#159 Peter Chen: Building the AI-Driven Future of Robotics
Eye On A.I.
Embrace the Unknown in Robotics Progress
Progress in manipulating dexterous objects, particularly deformable ones, is evident as systems increasingly understand the physical world in nuanced and expressive ways. However, the timing of a significant breakthrough in robotics remains uncertain due to competing forces. On one hand, advancements in computing power and data availability allow for the training of larger robotic foundation models, which could lead to a dramatic shift in capabilities, similar to prior developments observed in language processing. On the other hand, there are still challenges that might impede this progress, creating an ambiguous future in robotic evolution.
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