In so doing I'm going to violate conventional modesty norms. I've internalized those norms, so feel awkward about it (thus this tweet). I also think those norms often really should be ignored.
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If I'd understood better what I was doing I could easily have doubled or tripled those numbers. But it wasn't about making money -- it was a hobby/curiosity project that was about developing my understanding of a subject I find fascinating. The money has been a nice bonus.
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An unexpected personal benefit has been a steady flow of Paypal donations through my inbox, often accompanied by thankyou notes. You better believe I read and appreciate them.
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Dozens of people have told me the book helped them change careers.
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Would any of this have been possible closed access? Of course some of it would have. I might have made more money. But on nearly every other metric, I suspect being open access was a 100x or more multiplier on the impact.
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A common problem in open science is that unconventional forms of publication don't "count" in the traditional ways, for tenure etc.
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I tried to address this by telling people how I wanted the book cited, and by telling Google Scholar's crawler about my book in the page header.pic.twitter.com/UWIluqYyLJ
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I thought this would fail - I didn't bother looking at citations for more than a year. When I did I was surprised to find people were doing exactly as asked:pic.twitter.com/7fPuyiCrqX
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(I get occasional emails from people looking to cite the book, telling me some journal editor wants to know where "Determination Press" is located. I've so far resisted replying "Everywhere", and just demurely tell them "San Francisco".)
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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.
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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
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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 …
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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.
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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.
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End of conversation
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