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Sergey Levine on Why Real-World Data Will Define Physical AI
Physical AI looks closer than ever.
But the hardest part in robotics is not getting a machine to do one impressive task on camera. It is building systems that can improve from real-world experience, handle edge cases, and scale across different robots and environments.
In this episode of Automated, Brian Heater speaks with Sergey Levine of Physical Intelligence about why robotics has reached an inflection point, and why progress now requires more than great models in a lab.
Sergey explains why the next phase of robotics will depend on something much less flashy than a viral demo: collecting…
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