This article presents zero evidence or indications for their claim.
One argument is persistence. Quoting:
" “We are born knowing there are causal relationships in the world, that wholes can be made of parts, and that the world consists of places and objects that persist in space and time,”
Which is unsubstantiated and irrelevant, because AI that understands 3D is only now being developed. Also children up to 3 years of age or so, cannot understand the perspective of 3rd parties. There might be some hard-wired rules in our brain, but that's not intelligence anyway.
The article has a point about something: Conventional feed-forward, convolutional neural networks can only model a very limited space in the grand scheme of things. Backpropagation is not perfect. There are other learning methods. Hell, sometimes there isn't a global minimum anyway. But saying that Deep Learning will stall in the near future is just wrong, and in my opinion the reasons why are evident to all those who follow the latest developments.
The article has a point about something: Conventional feed-forward, convolutional neural networks can only model a very limited space in the grand scheme of things. Backpropagation is not perfect. There are other learning methods. Hell, sometimes there isn't a global minimum anyway. But saying that Deep Learning will stall in the near future is just wrong, and in my opinion the reasons why are evident to all those who follow the latest developments.