To me what stands out is not what it gets wrong but how much it gets right.
We use a not super common proprietary system at work which uses a custom query language. I can ask it "In system X, could you give me a query that finds XYZ". And it not only knows what system I'm talking about, it actually gives me a working query that would take me a couple hours to figure out and that's after I've had a few days' worth of training on it. Not to mention a huge IT background. Imagine picking a non-IT person off the street and getting them up to the point of being able to do this. They'd need weeks of training in basic IT concepts to even understand what you're talking about. I find it hard to overstate how amazing it is that a generic automated system can do this.
And ChatGPT is not a one-trick pony, IT isn't the only field it knows about. Imagine being an expert on all sub-fields of IT, law, marketing, medical, etc and being able to combine all that knowledge from those fields. A human will never be able to do that. The potential is huge but like any source of information you have to verify.
But what really is scary is extrapolating this to the next step forward. And the one after that. Because from what we had before to ChatGPT has been a massive step.
I think the next step would be for it to learn and re-evaluate its model every time it gets corrected by someone (like in the linked article where it apologizes for the incorrect info). Right now it's a static model only, so the next time someone asks the original question it will give the wrong answer again. Once it can learn from this it'll improve a lot.
The big hazard there is of course people manipulating it with false information. I don't have all the answers and I'm not an AI researcher but I'm very much amazed at the progress so far. And a bit scared. If this tech keeps evolving at this speed, job stability is only a tiny drop in a tidal wave of change. But there's no point in even trying to stop it.