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#120 – François Chollet: Measures of Intelligence
Lex Fridman Podcast
Machine Learning - The Edge Case Thing
In machine learning, you generalize to a new sample from a non distribution and the ways in which your new sample will be new or different. You are generalizing to known unknowns for one specific task. That's what you would call robustness. And finally, we'd have extreme generalization, which is basically flexibility,. But instead of just considering one specific domain like driving or domestic robotics, you're considering an open ended range of possible domains. So I don't actually think humans are anywhere near the optimal intelligence bound if there is such a thing.
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