Assertion Supported AI assessment confidence: 92% certainty 4/5 debate potential 2/5

Chen: AI scaling laws reliably reduce training loss in robotic manipulation

Peter Chen · No Priors Ep. 48 | With Covariant CEO Peter Chen · Jan 24, 2024 · at 25:55

Peter Chen is the co-founder and CEO of Covariant, an AI robotics company developing foundation models for physical manipulation.

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“The most technical definition of scaling law does apply and we have seen it apply in this domain. And it's somewhat not surprising because like if you think about like the scaling law in the most technical sense, which is if you scale up data and you scale up your model capacity and you scale up the compute that you throw at it, you'll get lower loss function, like training loss function out of it.”

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Assertion Not checkable as stated
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