I will note that you didn't use it for most of the coding. And that looking at your code, you also seem perfectly capable of figuring out the AppleScript if you had wanted to. In an amount of time that would not have wildly increased the total project time.
So overall, this looks very "stone soup" to me. Did it get you over a hump? Surely. Did it actually contribute much in terms of code? Not from what I see in your script.
I do support work myself, and our developers have a function that is broken and shoving too much stuff into the database. This crap is compiled into a DLL so I can't do anything about directly. Went to GPT and said "hey, I have a table named X, when Y updates write a trigger that deletes this"
In a few seconds it dumps out a working trigger. Now, I've never written one of these before, dong SQL stuff isn't really my forte, but with a basic understanding of what I needed done I got working code with an explanation faster than I could parse the how to.
Even if AI doesn't contribute more than that, for lots of use cases it's more than enough.
This sort of reminds me of the 3d-printing hype cycle. People were very excited! We could make any object! We could soon be 3d-printing 3d printers! But in practice, 3d printing is now mostly useful for small, marginally valuable stuff. That's not nothing; I have friends who are excited about their 3d printers. But I also have friends who are excited about woodworking and accordion playing and falconry. But none of these are particularly world-changing.
My interest in it is this: given this (flawed) technology exists, what are the things we can use it for that are genuinely useful and help us build interesting things that we may not have built before.
I've been finding an increasing number of areas where it gives me a 10-30% productivity boost... and a few areas like the above one where that tips me from "not going to do that project" to "doing that project". Those are what's exciting to me, far away from the breathless hype around this stuff.
So in this case the leg-up that GPT gave me was the difference between the project existing and it not existing at all.
It would suggest an incorrect type as an input to a constructor and if you ask it to correct the error, it simply suggests another conceptually similar type to fit in, which also throws an error upon compilation.
A modified chatgpt that was bound under the hood, to a strict set of rules about the structure of c++ and it's relationships, could do much better. The bot gives a strong intuitive sense that we have only solved half or a third of a potential revolution in programming, with more to come.
You should start believing people are using this.
People are comparing LLM hype to crypto and VR hype and that’s really not accurate. Those are both always in a state of “someone is using it now, and a ton of people will use it in the future”. ChatGPT is in a state of “a ton of people are using it now”.
It would remind me of the explosion of social networking, except it doesn’t have network effects! It’s crazy how much it’s getting used by all sorts of people not because they want to interact with their friends (messaging apps) but just because they want to use it.
I was a big AI and even just generally ML doubter until I started using it as part of my workflow and reading about how other people are, too. At that point, you kinda have to update your priors.
But continuing with your analogy, I'll note that the people who fight financial crimes and fraud have absolutely had to integrate responses to cryptocurrencies. That didn't prove that there was lasting value to the cryptocurrency hype wave.