Key Points
Physical Intelligence, a startup in San Francisco, has shown that such a dream might actually not be so far off, demonstrating a single artificial intelligence model that has learned to do a wide range of useful home choresincluding all of the aboveby being trained on an unprecedented amount of data...
The feat raises the prospect of bringing something as magical and generally capable as other AI models like ChatGPT into the physical world...
The amount of data we're training on is larger than any robotics model ever made, by a very significant margin, to our knowledge, says Sergey Levine, a cofounder of Physical Intelligence and an associate professor at UC Berkeley..
Folding clothing is especially challenging for robots, requiring more general intelligence about the physical world, Hausman says, because it involves dealing with a wide range of flexible items that deform and crumple unpredictably...
A key challenge with the strategy Physical Intelligence is pursuing is that there is not the same scale of robot data available for training as there is for large language models in the form of text..
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