Apple version of GPT-n will certainly find its way to users, but will most likely have some serious bumpers that will take time to roll out.
If Apple has shown anything it’s that they are ruthlessly patient
One thing it is generally bad at is recognising bad questions. Someone who knew the frameworks would probe a little and figure out that the student was looking up a dead end.
I think it’s great, and sometimes good enough for me to use as the basis of my answers.
It will take care of hypsters and their proven 'raise gobs of cheap cash on hype and capture market as fast as possible to hide half baked product' strategy.
I have plenty of criticism for chatGPT. It attempts to fake nuance by creating shallow syntheses of conflicting info. It doesn’t understand anything it talks about systemically. It has no insight into the user.
But it can regurgitate a list that you can use to structure your answer to a student’s question. It’s interesting to me because people do want me to believe it’s coming for my job. It’s a way off yet.
Certainly I find that it reminds me of what I know that it doesn’t.
Thinking about it more fully it’s like it pulls the “Cunningham’s Law” trigger in me that a lazy question just can’t.