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#120 – François Chollet: Measures of Intelligence
Lex Fridman Podcast
Deep Learning
The amount of trained data you would need to anticipate for pretty much every possible situation is such that it's not entirely unrealistic. We don't necessarily need actual cars on the road for everything, but it's a massive effort. In AI systems today, strong generalization tends to come from explicit models tend to come from abstractions in the human mind. These are the abstractions that can actually generalize. Not the weak abstraction that is run by a neural network.
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