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Gradient descent is not a magic wand that makes computers behave like anything you want. The difference is still quite perceptible after several years and trillions of dollars in R&D, and there’s no reason to believe it’ll get much better.
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Really, there's "no reason"? For me, watching ML gradually get better at every single benchmark thrown against it is quite a good reason. At this stage, the burden of proof is clearly on those who say it'll stop improving.
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