>> This article is BS. Preprints are not peer reviewed (i.e. nobody has checked anything in it - so could even be a complete hoax), it is a pretty typical gadgetry style paper (we do it because we can, not because it makes sense) you do at when you need to fill up your resume with research papers (e.g. for keeping/obtaining a job reasons).
That describes about 80% of the field of machine learning today: that's how most new work in machine learning is presented to the community, through preprints on arxiv that never get published, therefore peer-reviewed; and most of it is of the "we did it because we can, not because it makes sense" type. The same goes for much of AI research in the past. Here's John McCarthy:
1. Much work in AI has the ``look ma, no hands'' disease. Someone programs a computer to do something no computer has done before and writes a paper pointing out that the computer did it. The paper is not directed to the identification and study of intellectual mechanisms and often contains no coherent account of how the program works at all.
http://www-formal.stanford.edu/jmc/reviews/lighthill/lighthi...
(Take note that the above was written in 1973)
I'm prepared to bet that the exact same work could be published by a respectable research team (you know, with good English) and it would get many adulatory comments in social media (though I hope you would retain your skepticism).