1/ Been thinking about @karpathy [0] and @petewarden's [1] recent posts on deep learning as "software 2.0", ie something fundamentally new. From a software eng POV, seems like the right analogy is to JIT compilation.
[0] https://medium.com/@karpathy/software-2-0-a64152b37c35 …
[1]https://petewarden.com/2017/11/13/deep-learning-is-eating-software/ …
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similar idea but for laziness in http://www.cse.chalmers.se/~rjmh/Papers/whyfp.pdf … interesting q in all domains is where it breaks down
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I think this is a more reasonable take. AD and self-training software is great, but it probably won't change the experiences of folks too much other than having a new series of tradeoffs. For now. Lots of technical breakthroughs (e.g., O(n) generalized search) never catch on.
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