That would mean nothing because GPT4 isn't most people. I had it solve more complex problems than this particular one and using the same tools :)
Make the component beautiful with good spacing, elevation etc. Use Grid/Card components."
Final result: https://res.cloudinary.com/dksmi6x98/image/upload/v168527409...
However if the problem is stated in a way that it has to think through derivative of it's solution: that is generate some code that generates some other code which behaves in a certain way, it fails miserably. I'm not sure why. The problem I stated in current thread which it failed on I have tried multiple prompts to make it understand the problem but unfortunately nothing worked. It's as if it can do first level but but not second level abstraction.
Also, in general we attempt to make these models as economically efficient as possible at this point because of the extreme lack of excess computing power to run these things. You can't have it spending the next 30 minutes thinking in loops about the problem at hand.