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My point is that the difference between each iteration being completely random and then each iteration building on the previous means that we we going to need f
by ThomPete 10y ago
My point is that the difference between each iteration being completely random and then each iteration building on the previous means that we we going to need far less computing power than one might think.
- pas 10y agoEven if it's not completely random, if we don't have a good model (that is, a not too simple yet very efficient representation of the problem), the complexity instantly leaves us dead in the water. Whole brain simulation is the holy grail, because it's brutally computationally intensive, yet gives us nothing, because it's a black box. (Or a white box, but so white, you can't infer anything from it. It's just a big neural network that just works, things ripple back and forth, and it's sort of watching a busy beaver Turing machine do its work.)