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>Second, you've got to take into account that NN/ML/AI et. al. is going to "eat" a portion of all programming work within the next fifteen years or so.

Are there any repos I should look at to learn this? How is this possible when even humans can't read sarcasm online? I'm genuinely blown that this is even possible?!?



Repos, no. But, no coincidence, I have open two relevant tabs right now:

"Software 2.0", Andrej Karpathy https://medium.com/@karpathy/software-2-0-a64152b37c35

> It turns out that a large portion of real-world problems have the property that it is significantly easier to collect the data (or more generally, identify a desirable behavior) than to explicitly write the program.

"Deep Learning is Eating Software", Pete Warden https://petewarden.com/2017/11/13/deep-learning-is-eating-so...

> The pattern is that there’s an existing software project doing data processing using explicit programming logic, and the team charged with maintaining it find they can replace it with a deep-learning-based solution.




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