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#64 Prof. Gary Marcus 3.0
Machine Learning Street Talk (MLST)
Is It a Driverless Car?
In 19 98, i said that these things are basically just memorizing and not extrapolating. In a transformer model you tend to eat your fingers for the cross cases with respect to arithmetic. Can you imagine a shipping processor where you had to operate freely but don't really have a clean representation of it? I've been thinking about a bunch of them. We could talk about scaling laws in tha second. But let's go back to the other question, which is, what is the reasoning stuff? And why do i call it algebraic?
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