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#57 - Prof. Melanie Mitchell - Why AI is harder than we think
Machine Learning Street Talk (MLST)
Deep Learning
The computational temporal iteration is one of the big missing components of deep learning today. And if you try to add that in, they become impossible to optimize. So i think these, all these systems are have some useful ideas in them, uh, but we haven't figured out yet how to take all o the the parts and put them together in some coherent architecture. It didn't work with dream coder. That was not a system that had a particular input and had this sort of dinamic, iterative, feetback approach. To making sense af the tistem.
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