AXRP - the AI X-risk Research Podcast cover image

24 - Superalignment with Jan Leike

AXRP - the AI X-risk Research Podcast

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The Importance of Generalization in Neural Networks

Iliya: I think there is this blog post on your sub stack that said something like you just weren't going to rely on generalization at all. The new question is like well what if we actually did understand it yeah, he says. "What if we can actually say something meaningful about generalization and I think that's like a really good question" He continues with the idea of splitting datasets existing datasets into easy problems and harder problems where the easy problems are defined as what a small model gets right. And then they're trying to improve or improve how can we get how can we improved the accuracy of a large model on the whole dataset?

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