You jest, but that actually sounds like a really good research direction. Imagine what you could do if merging two codebases was as easy as merging with neural git.
Love it. In fact the demo already does something like that. It trains 2 models, the neural net that saves the data, and a classifier that trains on correcting the data - and it has a huge impact, you can go from 30% fidelity to 90-100% just with that
That's actually a really interesting idea. If we do end up in a "we don't look at the code ever" future, then something like this could actually be sensible.