I think i’ve only once flat out told one it was wrong about a specific assertion I quoted and it immediately was able to find its way to what I knew to be the correct claim.
I just wonder what would happen if i was in fact mistaken and I told it confidently it was wrong without elaborating


I’m trying not to judge and to just remain curious here. Why would you keep using AI like that?
You can use LLMs for things that where not possible or very difficult with traditional search engines.
E.g. I wanted to know what kind of brake my daughters bike used. Traditionally I’d either have to research all possible brake types and compare then with her bike or take a photo and post it to a forum or reddit or something and hope someone knows the answer.
With ChatGPT (I only use the free version) I just took a photo and asked what kind of break it was and got a (actually good) list of 2 possible brakes. It was one of the two.
Very convenient. However, I’m aware how LLMs work and what their limitations are. Of course also the environmental issues.
BTW: It was a band brake.
Because search engines have been dogshit for the past 2 years (give or take~); AI need to be steered hard but as long as you’re asking for sources (and don’t just read what they’re saying) you can get an answer out of them.
I only find what I’m searching for on Google if I already know the exact keywords for what I’m specifically looking for (…and even then…); if I don’t know the exact terms of what I’m looking for (like @affenlehrer@feddit.org with his bike brake issue) then google is useless nowadays, which wasn’t always true. So now my process is to google first, ask an AI second, and I end up using AIs way more than I would like.
It led them to the right answer. That’s positive reinforcement.