Technology

I think power usage is a legitimate concern still, but on top of that the unreliability is a huge factor. LLMs hallucinate all the time, by design, so if you are using them for anything where it’s important to be correct you are bound for failure. There will always be hallucination lest we overfit the model, but a model that’s overfit with no hallucination just reproduces its training data and therefore has no more functionality than a search engine but with vastly higher energy requirements. These things have applications, but really only for approximating stuff where no other approach could do it well. IMO any other use case is a mistake