I use it extensively. For example I was getting an error that no variable X was on an object. I could see the object in the debugger and could see the variable.
I put the section of code into chat gpt and the error and it said that the function I was using returned a collection of the object and I was using it as if it was the actual object. Obviously I had not noticed the punctuation that the debugger used to indicate a collection.
I recently was looking for the melting points and hardness of various materials. Obvious ones were easily available, but what is the melting point of brick or granite? I put in a big list of materials and chat gpt got them all.
Finally today I had a shopping list and I asked chat GPT to organize by aisle for the store I was going to. It did a bad job, but it was mostly correct. I could easily fix the mistakes myself.
I think for many things chat gpt gets 90% of the way there and the 10% you have to fix is no big deal.
I really like it for generating sql queries and regular expressions. Two things that take me a lot of time that I do infrequently enough that I can never remember how it works.
A friend of mine said he feels like chat GPT will enable a resurgence in the generalist programmer. Im a solid developer but I dont do enough to be completely immersed. Chat GPT is amazingly productive for new areas or areas I dont do that often. Recently Ive used it for linux networking, oauth, some reasonably complex SQL queries, ruby threading, and working with the Ruby 2D API.