If I were OpenAI, I would use the usage data to further train the model. They can probably use ChatGPT itself to determine when an answer it produced pleased the user. Then they can use that to train the next model.
The internet is growing a brain.
1: https://writings.stephenwolfram.com/2023/03/chatgpt-gets-its...
A super human AGI would easily be able to use tools like Wolfram Alpha and also derive most of it on the fly or from memory just by thinking about it.
If you set your expectations to AGI (right now) you will be disappointed but that doesn't mean it's not immensely useful.
Unfounded hype and real technological progress seem to go hand in hand.
But it's quite interesting to see what these models can do internally and what they can't do yet. It possibly outlines future research areas (beyond " more scale") and opportunities for competitors to enter the market (which is usually better for consumers and society as a whole).
Maybe that's the difference between productization and academic reasearch.