Great result. At my job I manage a machine learning team and so I am fairly much all-in for deep learning to solve practical problems.

That said, I think the path to 'real' AGI lies in some combination of DL, probabilistic graph models, symbolic systems, and something we have not even imagined yet. BTW, a good paper just released on the limitations of DL by Judea Pearl https://arxiv.org/abs/1801.04016