You know, I did it if it's not a spelling mistake. Oh, I've had to change so many times when I've written something and then incorporated a pattern or design with it to make it like, I meant to do this. And that's what I have to teach the kids in class.
That when there is a mistake, you've got to tell yourself and convince yourself, okay, this is part of the design. I meant to do this. Or rather my design wanted to do it.
I'm just following my design. And then go with that and see what happens. Change it.
And it will. You know what's interesting, too, is we're our most critical critique. Oh, yes.
And so often when we see a mistake, it's so glaring that it's like, you know, how can you not see it? But what I learned over the years is that unless you point it out, most won't actually see any mistake. You know, it's not a mistake. And so for us, it's very hard to get past that.
But as soon as you push past it, that's when the brilliance happens. And I'm learning now with AI, too, is that I'm applying that same methodology in the idea that mistakes actually create more of a human-like experience with AI. The more you try to get it lifelike or perfect or photorealistic, the more it looks machine-done or, you know what I mean, and too good.
And in my head, that actually almost denounces the fact that this is an AI piece because it's got perfection in it to a point that's not human-like. And so I live with the little mistakes, and I actually started to embrace where AI makes, you know, odd decisions, you know. And it's like I realize that that is the human touch in it, you know, is that to expect perfection is not realistic, right? And we shouldn't expect realistic.
