I know some people who develop on top of Tensorflow; from my conversations with them, Tensorflow's moat is Google making a lot of breaking changes by incorporat

I know some people who develop on top of Tensorflow; from my conversations with them, Tensorflow's moat is Google making a lot of breaking changes by incorporating a lot of new functionality. I've also heard complaints that the online documentation isn't terribly great for triaging not-happy paths, to the point where you kind of have to just dig through the source code to figure out what's going on. Also, if you want to poach the maintainers, you would somehow have to poach them away from Google (which isn't happening, since ML at scale is something Google does best, and is an ongoing field of research). You can't become as good at using Tensorflow as Google is by simply forking the project.