[Someone]

> Users often talk about how certain models "feel" smarter on their particular tasks, and we won't know if the same is true for GPT-5 until people use it for a while.

The idea that models “feel” smarter may be 100% human psychology. If you invest in a new product, admitting that it isn’t better than what you had is hard for humans. So, if users say a model “feels” smarter, we won’t know that it really is smarter.

Also, if users manage to improve quality of responses after using it for a while, who says they couldn’t have reached similar results if they stayed using the old tool, tweaking their prompts to make that model perform better?