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.
The stranger your tastes seem to other people, the stronger evidence they probably are of what you should do.
So I bet it would help a lot of people to ask themselves about this explicitly. What seems like work to other people that doesn't seem like work to you?
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.”