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Is There a Linear Progress in Deep Learning?
If you tweak one part of the system, suddenly some other part becomes a bottleneck. And it's definitely holds true when you look at the problem solving algorithm that is being run by science as an institution. As you make more and more progress, despite having this recursive self-impromant component, you are encountering exponential friction. But in my opinion, it is not a coincidence that you're seeing linear progress in science despite exponential resource conception.