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Episode 20: Hattie Zhou, Mila, on supermasks, iterative learning, and fortuitous forgetting

Generally Intelligent

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Is There a Difference Between Chris Ola and Grande?

I think everyone could become happier as researchers if there was less pressure. It seems like a lot of the people who are working on understanding their network set on a more fundamental level publish much more slowly, like Chris Ola with the circuits work or grandeing on the neurotangent kernelslike one paper a year. And it feels like we have a lot of physicists on our team, and they come from an environment where you can submit to a journal at any time. So it does make sense. I'm actually really curious, like the Chris Ola approach or the grande approach, they're like different from your approach for examining your networks. How would you lay out the different landscape

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