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Dario Amodei (Anthropic CEO) - Scaling, Alignment, & AI Progress
Dwarkesh Podcast
The Future of Algorithms
The way to think about these algorithmic progresses is not as increasing the power of the blob of compute, but simply getting rid of the artificial hindarances that older architectures have. Is something embodied or having an embodied version of a model at all important in terms of getting either data or progress? I think of that less in terms of the, you know, like a new architecture and more in terms of like, a loss function,. And so I think that could be important for learning some skills, although data acquisition is hard.
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