With the advent of language models I really despair of new technologies catching on. LLMs are deceptive in their intelligence, as far as I can tell - they can seem expert in one domain and then fail absurdly on some new take on similar ideas that don't appear in the training data. Consequently, one loses a lot of productivity when switching to a fringe technology, even if its better.

Startup types used to say that its not enough to be better than the current solution - you have to be 100 times better to justify the switching cost, and with LLMs it seems like that is like 1000x. It sucks.