"This just shows that deep learning is not the answer to AGI. In fact, it's a hindrance. Wake up, people. AGI research money must be applied elsewhere."
It does seem as if an entirely wrong approach is being taken to the problem. Show a human a car once and they will likely recognise almost any image of a car as also being a car. A computer gets trained on "millions" of images and can then still be fooled by even the tiniest of changes to an image.
I don't now what approach should be taken but it clearly demonstrates we have no idea how human (or animal in general) image recognition works.
Biting the hand that feeds IT
