I have no interest in learning the horrible unintuitive UX of every CLI I interact with, I'd much rather just describe in English what I want and have the computer figure it out for me. It has practically never failed me, and if it does I'll know right away and I can fall back to the old method of doing it manually. For now it's saving me so much time with menial, time-wasting day-to-day tasks.
It's useful for that yes, but I'd rather just live in a world where we didn't have such disasters of CLI that are git and ffmpeg.
LLMs are very useful for generating the obscure boilerplate needed because the underlying design is horrible. Relying on it means acquiescing to those terrible designs rather than figuring out redesigns that don't need the LLMs. For comparison, IntelliJ is very good at automating all the boilerplate generation that Java imposes on me, but I'd rather we didn't have boilerplate languages like Java, and I'd rather that IntelliJ's boilerplate generation didn't exist.
I fear in many cases that if an LLM is solving your problem, you are solving the wrong problem.
[0] The classic reference: https://en.wikipedia.org/wiki/Principia_Mathematica -- over 1,000 pages, Betrand Russell
[1] https://cmartinez.web.wesleyan.edu/documents/FP.pdf -- a bit more modern, relying on other mathematics under the hood (like DRY reduces the base count), 11 pages
[2] https://xkcd.com/1053/
[3] Some reasonable review https://blog.plover.com/math/PM.html
And had Russell failed to prove that 1 + 1 = 2 in his system, it would not have cast one jot of doubt on the fact that 1 + 1 = 2. It would only have pointed to the inadequacy of the Principia.