I’d say that that huh is the foundational block of curiosity. To get good at the huh is to get good at both paying attention and nurturing compassion; if you don’t notice, you can’t give a shit. But the huh is only half the equation. You gotta go huh, alright — the “alright,” the follow-up, the openness to what comes next is where the cascade lives. It’s the sometimes-sardonic, sometimes-optimistic engine driving the next huh and so on and so forth.
Form comes from wonder. Wonder stems from our 'in touchness' with how we were made. One senses that nature records the process of what it makes, so that in what it makes there is also the records of how it was made. In touch with this record we are in wonder. This wonder gives rise to knowledge. But knowledge is related to other knowledge and this relation gives a sense of order, a sense of how they inter-relate in a harmony that makes all things exist. From knowledge to sense of order we then wink at wonder and say How am I doing, wonder?
Like a programming language interpreter, GPT-3 translates the designer’s intent from a language they’re already familiar with (English) to one they need to learn (Figma’s information architecture, as manifested in its UI.) This can be easier for a new/busy designer, much like Python is easier and faster to work with than assembly language.
But that’s not “designing” — at least not any more than compiling Python code is “programming.” In both cases, all the system does is translate human intent into a lower level of abstraction. Sure, the process saves time — but the key is getting the intent part right. I’ll be convinced the system is “designing” when it can produce a meaningful output to a directive like “change the product page’s layout to increase conversions.”