John Maeda

to look at things on the screen.

So she predicted the whole desktop publishing revolution, electronic publishing revolution.

And at the time, she also had a bunch of people from MIT's AI lab.

And MIT AI lab was asking, how do we create things by machines that humans are good at?

And so her lab focused on how to automatically design things with quote-unquote AI at the time.

Oh, wow.

Well, I mean, everyone's saying it's limitless and it's that, not the Cambrian period, blah, blah, blah.

There's so many adjectives that are like, oh my gosh, amazing.

I think the reality is that this has been a long time coming.

in the same way we saw writing being automated before LLMs, and we saw marketing assets being automated as well.

So we just spread that to the kind of, we went upstream on this idea of designing things, which to Paul's point, it requires restraint, it requires all kinds of things, which is the opposite of engineering.

Speaking as an engineer as well, if I can make it, I'm going to build it.

Oh, I'll do this.

I'll keep doing this and this and this and this.

And so restraint isn't part of the equation.

Unless you're an architect.

Designers always think like architects of the human experience.

Now with the harness and the models coming together, we have a nice combo platter.

Plus the evals, we have the feedback loop.

That's actually really brand new.