Sergey Levine, one of the world’s top robotics researchers and co-founder of Physical Intelligence, thinks we’re on the cusp of a “self-improvement flywheel” for general-purpose robots. His median estimate for when robots will be able to run households entirely autonomously? 2030.
If Sergey’s right, the world 5 years from now will be an insanely different place than it is today. This conversation focuses on understanding how we get there: we dive into foundation models for robotics, and how we scale both the data and the hardware necessary to enable a full-blown robotics explosion.
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Sponsors
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Timestamps
() – Timeline to widely deployed autonomous robots
() – Why robotics will scale faster than self-driving cars
() – How vision-language-action models work
() – Changes needed for brainlike efficiency in robots
() – Learning from simulation
() – How much will robots speed up AI buildouts?
() – If hardware’s the bottleneck, does China win by default?
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