What I read from this article is that we're currently in a trend where the more compute you throw at machine learning, the better solutions you end up with. Nothing about general AI, it's just that you can train deeper, more complex neural networks that can handle broader and more complex versions of the problems they're designed to handle.
This can have implications down the line which still have nothing to do about AI becoming smarter (in the general intelligence kind of way) than it is today. If all input/output problems out there have very deep neural networks behind them, and those neural networks are constantly training simultaneously, and that has a positive economic output, we'll see tremendous amounts of FLOPS that pales cryptocurrency miners by comparison.
Just as an example, depending on how cloud solutions keep up, maybe startups on the cloud won't be so competitive anymore. It's an interesting trend to point out and keep track of. And yes, OpenAI's involvement will probably be to learn about how this can lead to unsafe use of AI, but again that's not what I saw the topic of this article being.