To me it’s the other way around. It’s difficult to trust (paid) ChatGPT‘s output consistently.

When I need exact, especially up to date facts, I have to constantly double check everything.

I split my sessions into projects by topic, it regularly mixes things up in subtle and not so subtle ways. There is no sense of actually understanding continuity and especially not causality it seems.

It’s _very_ easy to lead it astray and to confidently echo false assumptions.

In any case, I‘ve become more precise at prompting and good at spotting when it fails. I think the trick is to not take its output too seriously.