Deep Learning systems are great at learning one thing really well, given enough data. Humans are able to learn novel things with limited data because we can app

Deep Learning systems are great at learning one thing really well, given enough data. Humans are able to learn novel things with limited data because we can apply all the other data and learning we've previously done. And that's the barrier to this sort of thing, imho. There's only a (relatively) small number of training examples in FoldIt, but a Deep Learning system would needs thousands or millions before it would generalize. Or maybe there's a great new research paper that will break through that limit. It's such an exciting time for the field!