People basically ignore that it takes humans YEARS of 24/7 training on ungodly amounts of data to be able to do anything close to reliable inference on even the most basic of tasks. That's the point.
Said more clearly, I am all but certain that the logical/mathematical process of correlating identifiable and measurable attributes through iterative search is the correct approach to reach general intelligence goals.
There are many improvements in efficiency, both in data acquisition, labeling, processing etc... that will need to happen make it tractable computationally, but fundamentally I think it's the correct approach.
Where I differ from Hinton is that he seems to think that human level processing requires less data than I believe it does. It's a subtle point actually.