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The idea is that in the not-too-distant-future, differentiable programming will become much more mainstream. c.f. https://medium.com/@karpathy/software-2-0-a641
by bmc7505 8y ago
The idea is that in the not-too-distant-future, differentiable programming will become much more mainstream. c.f. https://medium.com/@karpathy/software-2-0-a64152b37c35 https://medium.com/@karpathy/software-2-0-a64152b37c35
- saagarjha 8y agoOk, but to use terms from that article, Swift is still very much "Software 1.0". It's a general-purpose programming language meant to be written by people. Sure, it's good that people are trying to extend it to fit their specific needs, but I don't think that Swift (or any commonly used language today) is anywhere near being "good" for these types of tasks.
- wool_gather 8y ago> Neural networks [...] represent the beginning of a fundamental shift in how we write software. That's an...interesting statement, considering that neural networks are nearly as old as software itself. The original Pitts-McCulloch paper was published in 1943. Active use of them has certainly been ongoing longer than that blog author has been alive.
- tree_of_item 8y agoAnd yet it's true, since they haven't been used in the way they are now. There was no DeepMind in 1943. Computer science stuff usually takes a few decades to mature.