It's cute, but isn't going to completely obsolete ML/DL expertise. (And believe me, as a prospective supplier of DL compute, I would love for the answer to be "

It's cute, but isn't going to completely obsolete ML/DL expertise. (And believe me, as a prospective supplier of DL compute, I would love for the answer to be "more compute"). To give you an idea of how much compute it took, they spent two million dollars for one run on a relatively toy dataset, CIFAR-10. Imagine how much it would take on an imagenet sized dataset! Can your company afford ~$20 million+ per dataset? I do think that hyperparameter twiddling aspect might get automated, but believe me, that is much welcomed by the DL research community! I would much rather spend my time on new ideas rather than trying ten different initializations :)