Even if ChatGPT is giving exactly the same quality of answer as you can get out of Stack Overflow, it gives it to you much more quickly and pieces together multiple answers into a script you can copy and work with immediately. And it’s polite when doing so, and will amend and refine its answers immediately for you if you engage it in some back-and-forth dialogue. That makes it better than Stack Overflow and not functionally similar.

I’ve done plenty of rubber duck programming before, and it’s nothing like working with ChatGPT. The rubber duck never writes code for me. It never gives me new information that I didn’t already know. Even though sometimes the information ChatGPT gives me is wrong, that’s still far better than just mutely staring back at me like a rubber duck does. A rubber duck teaches me nothing.

“Verifying” the answer given by ChatGPT can be as simple as just going ahead and running it. I can’t think of anything simpler than that, you’re going to have to run the code eventually anyway. Even if I was the world’s greatest expert on something, if I wrote some code to do a thing I would then run it to see if it worked rather than just pushing it to master and expecting everything to be fine.

This doesn’t “replace your own thinking and learning” any more than copying and pasting a bit of code out of Stack Overflow does. Indeed, it’s much easier to learn from ChatGPT because you can ask it “what does that line with the angle brackets do?” or “Could you add some comments to the loop explaining all the steps” or whatever and it’ll immediately comply.

In the context of coding it can be valuable. I produced two tables in a database and asked it to write a query and it did 90% of the job. It was using an incorrect column for a join. If you are doing it for coding you should notice very quickly what is wrong at least if you have experience.

Google the provided solution for additional sources. Often when I search for solutions to problems I don’t get the right answer directly. Often the provided solution may not even work for me.

But I might find other clues of the problem which can aid me in further research. In the end I finally have all the clues I need to find the answer to my question.

Well if they refer to coding solution they’re right : sometimes non-working code can lead to a working solution. if you know what you’re doing ofc

In my experience, with both coding and natural sciences, a slightly incorrect answer that you attempt to apply, realize is wrong in some way during initial testing/analysis, then you tweak until it’s correct, is very useful, especially compared to not receiving any answer or being ridiculed by internet randos.

I don’t know about others’ experiences, but I’ve been completely stuck on problems I only figured out how to solve with chatGPT. It’s very forgiving when I don’t know the name of something I’m trying to do or don’t know how to phrase it well, so even if the actual answer is wrong it gives me somewhere to start and clues me in to the terminology to use.

not for solving technical problems

One example is writing complex regex. A simple well written prompt can get you 90% the way there. It’s a huge time saver.

for generating prose

It’s great a writing boilerplate code so I can spend more of my time architecturing solutions instead of typing.

You’ve never actually used them properly then.

That doesn’t exactly inspire confidence.