[Xalutiono]

IT is not black and white and just because you are able to bring up a random example doesn't mean you are right.

These models are build to be small, we have a lot of diverse tasks which do not need fable or whatever because if you are a company and you have to route 100.000 requests per day, costs matter.

And these small models, if they are not good enough for my specific use case, i can easily finetune (which i have btw.).

You can also easily solve your example by having a second stage. If the customer is unhappy about the first thing or an employee flags it as 'wrong', you can either send it automatically to a more expensive model or the employee fixes it and you got automatic training data.