So does this mean that the era of automated theorem proving and AI-driven mathematics is finally upon us? I'm no expert, but this seems pretty groundbreaking.
What's new in this paper is the probabilistic component, trying to guess the outcome of complicated proofs. That's a neat idea, but nothing revolutionary. It may give rise to nice shortcuts for better efficiency.
The real problem is making the machine get a good hunch what to prove, so it doesn't find useful theorems just randomly. I'm not working in this field, so correct me if I'm wrong, but that seems to be rather hard. In any case, as far as I know most automated theorem provers are only semi-automatic, you have to give them an idea about which direction to go and which proof strategy to use.