[jacknews]

Progress in deep learning has been quite astounding the last few years, but the output is still very dreamy, fuzzy, inexact etc, as though eg for image generation, the pixels are representing individual neurons, and you're viewing the 'dream state' of the network.

I think actual programming requires something more concrete; the 'atoms' of a program are not text letters or pixels, but something more abstract, more exact. I think once deep learning incorporates a symbolic or logic system of some kind, that might be a solution, but then that will apply not only to programming. All IMHO.