What's scary about Googling for specific ML questions beginning to look like googling some Windows problems? This kind of dichotomy already exists between people who interact with ML only through keras and those who use a more flexible library. If you fall into the latter category it's still easy enough to find the answers to ML questions that mostly pertain to the deeper stuff. Don't even get me started on the difference between people who do and don't know statistics theory. But the point is that all of these groups do ML and they coexist just fine.

On another note. I don't think technical proficiency (or whatever your elitism-metric is) is very correlated with using Windows as the primary platform. You can Google stuff related to a Windows problem and through that learn how to work with the registry, and yes, some of the things you need to do require you to RTFM. So this elitism also suffers from being off the mark.