This is why I'm so hesitant to use AI. There are other reasons (for example: the journey is the fun part, not the destination; and I want to learn not have something done for me), but the pressure AI puts on memory and storage is too much for me. I do use it occasionally, mostly to keep tabs on it and for small problem solving (how do I do this one piece of a query in MySQL, since I'm not a MySQL DBA), but that's it for now, until this memory/storage issue is fixed.

Unfortunately, I can't not use AI because it provides the best speech recognition I've ever used and, going along with hand problems, it now allows me to write code after a three-year absence from that skill. I do miss it. I'd never do it again professionally in the large, but I have missed writing code a lot.

My solution is to see what four or five-year-old equipment I can buy that will let me run local LLMs. I may only get six or seven tokens per second out of an i7, but it's a start. And best of all, I can turn the machine off when I'm not using it.

IMO, Migrating to small-scale local LLMs would be a significant improvement over using data centers.