I think they're vastly underestimating the amount of other things in the field of AI that have been happening. This article is kinda like saying "Turing invente

I think they're vastly underestimating the amount of other things in the field of AI that have been happening. This article is kinda like saying "Turing invented computers in the '40s, and everything else we've done since then has been based on that insight". Well, yeah, that's not necessarily a bad thing. Only in this case, that would be overstating, because Deep Learning, as impressive and hyped as it is, is still only one area of the field. It's true that most of the hype is around that, because it has given us breakthroughs in image/video/audio/text applications. But I'd still wager that most "AI" systems in the world use more traditional techniques, especially if you're looking at the myriad data scientists using things as simple as linear regressions. And even within deep learning, there have been interesting advances, e.g. GANS have brought some very interesting applications (like style-transfer). Who knows, maybe in 30 years time people will be writing about how everything nowadays is built on GANS or deep reinforcement learning, a 30-year-old technique!