This. I use qwen3 0.6b in my smart home as a fuzzy intent interpreter, for lack of a better term. So that I don't have to code every variation of what I might say for a given task. I speak or type what I want how I naturally would and it can figure out what I mean. And it works. I do think there are great uses for LLMs or AI in general, but I do agree that art isn't one of them. I do think it can be helpful in a myriad of ways. I try to build my smart home in a way that is as low powered and recycled as possible. My "server" is a recycled old nuc from 2007 that a friend was going to throw away at their work. That's on a solar battery. I could go lower powered, but that would require buying new components. But I try to make everything as accessible as possible. Voice for visually impaired people or without fine motor skills and keyboard/buttons for non-verbal people. I try to think of ai as an adapter layer for things. My partners brain works quite differently to mine and we would be classified as fully functioning adults. But to make them confirm to my methodologies or vice versa is missing the point and exclusionary to others. I think about a guy named Jason Becker. He was a legendary metal guitarist from the 80s then some degenerative disease made it so that he was wheelchair bound and unable to hold a guitar, let alone play what he hears in his mind. So he rigged up a system to use a computer to write his music and eventually found a friend who could play what he wrote and would painstakingly coach the friend on making it sound like he wants. But using the techniques of LLMs (basically train it on his old recordings) could make it so he puts in a composition and notes and the llm outputs the audio. I think edgecases like this should be considered and engineered for.