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Physical AI, particularly in robotics, is expected to become a massive market, potentially surpassing data centers in size due to the high number of chips used in robots.

The progress in perception technology since 2009 has improved the potential for robotics compared to autonomous driving. Robust perception systems are now more generalizable and scalable, providing a better starting point for robotics development.

The progress in robotics at Physical Intelligence is still at the early stages, focusing on building basic building blocks to tackle more complex problems in the future.

The progress in robotics at Physical Intelligence is at the very early stages, focusing on building the basic building blocks for future complex tasks. Current robots can perform tasks like folding laundry and cleaning kitchens, but the ultimate goal is to have robots perform a wide range of home tasks autonomously.

The development of robotics and AI is expected to lead to full automation and a wealthier society. Planning for this future involves considering the journey and ensuring that education and flexibility are prioritized to adapt to changes.

The progress in machine learning technology since 2009 has made generalizable and robust perception systems more feasible, providing a better starting point for robotics today compared to the past.