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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.
I've always liked this (or rather ever since you wrote it). I have a very similar optimistic attitude to the narrower question of whether there is a simple principle underlying our ability to find proofs of theorems. I am, perhaps irrationally, convinced that there is.
Thanks! I share that optimism. Proofs of theorems seems a substantial step up in difficulty from chess & Go & similar pursuits, but much more tightly scoped (in some sense) than the world as a whole.
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