I use LLMs for multiple things, and it’s useful for things that are easy to validate. E.g. when you’re trying to find or learn about something, but don’t know the right terminology or keywords to put into a search engine. I also use it for some coding tasks. It works OK for getting customized usage examples for libraries, languages, and frameworks you may not be familiar with (but will sometimes use old APIs or just hallucinate APIs that don’t exist). It works OK for things like “translation” tasks; such as converting a MySQL query to a PostGres query. I tried out GitHub CoPilot for a while, but found that it would sometimes introduce subtle bugs that I would initially overlook, so I don’t use it anymore. I’ve had to create some graphics, and am not at all an artist, but was able to use transmission1111, ControlNet, Stable Diffusion, and Gimp to get usable results (an artist would obviously be much better though). RemBG and works pretty well for isolating the subject of an image and removing the background too. Image upsampling, DLSS, DTS Neural X, plant identification apps, the blind-spot warnings in my car, image stabilization, and stuff like that are pretty useful too.