I often experience ChatGPT given outdated information which is wrong at this time, but wasn't necessarily wrong in the past. One big example is a popular framework for Laravel called Filament [0] which released a V3 a few weeks ago. I don't even bother anymore with it because it is useless. However, for example 90% of my DevOps tasks (mostly Kubernetes) are partially done with Kubernetes, either explaining impact or even writing manifests. It is genuinely awesome for that.
FWIW I've had the exact opposite experience with ChatGPT 4. I did have some issues with the code not always being 100%, but I've found it invaluable when I don't know the keywords for what I should be searching for. E.g. if I want to accomplish something fairly complicated in SQL, I'll explain the problem to ChatGPT, and it has always pointed me in the right direction as to what relatively obscure window function or whatever that I should use.
I like that it can figure out my boilerplate, but I wouldn’t trust any info it spits out.