I stopped using LLMs entirely. Proper googling, which isn't broken, btw, doesn't cost that much more time, I realised and it let's me have more secondary and ternary related factual info that I didn't ask for, because how would I even know yet?

So spending just a little more time on the (re)search via standard methods provides me with more extensive, fact-checked, reviewed and discussed information than any of the LLMs that I used did.

Hmm, such as? What would you consider one off stuff?

Using aider to make a simple Python script to fetch that csv and graph it on matplotlib was an acceptable experience. The worst part is how Claude refused to use seaborn.

I used it to write a little bit of bash glue for a build system too. I’m no bash expert, but the script was only 20 lines, so I went through each and it was correct and I learned a bit of the % syntax.

Not really something I like spending $20 a month for, so nowadays if i feel like using ai I just use llama.