The top ten cities list is fascinating:pic.twitter.com/dugc1REzAf
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To sum up: open access makes material freely available to people who would otherwise never even hear about it. This amplifying effect is not small, it is enormous. And it applies in parts of the world woefully underserved by the existing publication system.
To finish: a couple of short, standalone essays within the book that you may enjoy. Written for a general audience. On whether there is a simple algorithm for intelligence: http://neuralnetworksanddeeplearning.com/sai.html
On whether deep learning will soon lead to truly general artificial intelligence (scroll down a bit): http://neuralnetworksanddeeplearning.com/chap6.html#on_the_future_of_neural_networks …
Some additional calibration data: an editor at a major academic press tells me great sales figures for a similar technical textbook in a "hot" field are typically about 5,000-10,000 a year. So open access has a factor 200x or more here.
That said, deep learning is super hot, and I expect figures may be even higher there for the absolute best sellers. Even so, I've no doubt the benefit of being open access is ~100x.
This is probably my biggest pet peeve about the editing process. Somebody will insist on me submitting where books cited are printed. As if they were ever printed, let alone in a particular place! There are many charming archaisms in academia, but this one should be dropped.
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