[finaard]

Yeah, I've noticed at several customers that they're just trying to cram LLMs into everything, instead of maybe first thinking if it's sensible for that specific usecase.

I'm also doing some things where I don't think LLMs are not a good fit - but I'm doing it because I care to see about things like failure behaviour, how to identify when it is looping (which can be sometimes hard to see when using huge context models) and similar stuff - which results in more knowledge about when it makes sense to use LLMS. No such learnings visible at many customers, even if LLMs do something stupid.