I absolutely agree that the technology in itself isn't useless. It's the humans and their abuse of LLMs/GenAI for everything conceivable that makes me angry. Most of the advertised use cases are just not holding up. The idea that "AI" can do everything better than humans is just wrong. It mimicks human output at best, and this also means that when trained on human garbage code it won't generate better code than humans, statistically. It's a probability machine, not an intelligent entity. If you keep that in mind, and if you are able to ignore all the ethical, environmental and intellectual property theft issues, then it can be a useful tool.

I'm not being sarcastic here: I'm also using LLMs for small, narrowly defined delevopment tasks, albeit with models running on local hardware mostly. But I'm constantly torn between being impressed when it actually works and being downright disgusted by the non-deterministic nature of the thing when it doesn't.

If we brought up all code to the mean of all code id imagine it is an improvement.

To be fair though i mostly blame how companies invest in code for that, and if AI is tunned to their preference we will likly be no further than before.

My assuptions at least