If you're being generous, you might take the apparent wide applicability of simple techniques and moderate-to-massive computing power as a sign (given that it's the exact opposite of old-style approaches) that AGI might not be as hard as we think. It does match better with how brains work.

But this particular result is in no way a step towards AI, no. It's one guy playing around with well-known techniques, that are being used vastly more effectively with e.g. Google's image labelling. This article should only push your posteriors around if you were unaware of previous work.