[summerlight]

It looks like there's some interesting works to connect ML with symbolic reasoning (or searching). I'm closer to layman in this area but IIUC the latter is known to be rife with yet-to-be-understood heuristics to prune out the solution space and ML models are pretty good at this area. I'm not in a position to suggest what needs to happen to further push the boundary, but in my impression it looks like the current significant blocker is that we don't really have a way to construct a self-feedback loop structure that consistently iterates and improves the model from its own output. If this can be done properly, we may see something incredible in a few years.

[rafaelero]

I didn't look further into their method, but it seems to me that symbolic reasoning is only important insofar as it makes the solution verifiable. That still is a glorious capability, but a very narrow one.