So... it slows down adoption by providing easier alternatives for beginners? I guess you could look at it that way too.

Eventually it will go either of the two ways, though:

- models will have enough generalization ability to be trained on new stuff that has passed the basic usefulness test in the hands of enthusiasts and shows promise

- models will become smart enough to be useful even for obscure things