[seanmcdirmid]

RNNs can already write what looks like viable code without any human intervention. Of course, the code doesn't do anything useful and is just a reflection of its training, but all we have to do is figure how to guide that.

We are doing OK in human language recognition as well as understanding in simple dialogue frames. The technology is also moving awfully fast at the moment. You are thinking in terms of human level intelligence, but it really doesn't have to be that good. It only has to provide enough random-but-feedback guided choices until the user finds what they are really looking for.

Put it this way: if the user could get what they wanted from the computer directly just by "searching", the process would be more efficient since the most inefficient part about programming is human-to-human communication and coordination.

[LnxPrgr3]

RNNs are good at learning the structure of their training input—even character-level networks can output vaguely plausible English. Of course, what you end up with often looks like a computational model of a thought disorder. They have seemingly lucid moments, but so do Markov chain generators.

As far as code goes, we've already solved the problem of modeling the structure of any programming language with an implementation. That's not the hard part.