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Well, personally I've believed since the 80s that parallelism will win in the end. But I've been repeatedly too optimistic (i.e., flat wrong) about how rapidly that will happen.
My guess is that eventually fairly parallelizable matrix-based ML methods mostly subsume what we currently think of as general-purpose computation. But right now you're not going to replace your single-threaded C or Javascript code with anything that looks like a neural net...
It's a fun problem to think about - writing a web browser which is a neural net. (A friend of mine once taught his spam filter to play chess.)
It might be a easier problem than writing a new web rendering engine from scratch! Very fun to think about 
, lots of training data, probably faster and lower power too with the right Silicon 
Absolutely agree! Guess the question is how much left is there for the human species to gain with faster C/JavaScript vs bigger/faster/lower power ML systems? Worry Wirth's law quickly neutralizes any gain in single threaded SW performance for most users https://en.m.wikipedia.org/wiki/Wirth%27s_law …
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