Some of the more enjoyable surfaces (for example, the grain of a fine mahogany table top or a Japanese sword) have an interplay between pattern and texture which, though two-dimensional, suggests the unseen internal three-dimensional array.
As we draw closer, we see that the three-faceted planes of the museum are fabricated out of rectangular panels made of white bronze that was poured directly into dammed forms on the concrete floor of the foundry, producing a surface texture similar to both metal and stone.
I’m now more inclined to attribute Looseleaf’s power to its visual texture than to some cognitive media-style abstraction. And the visual texture owes more to the beauty (yes, beauty!) of the original pdfs from the Vasulka Archive. Perhaps the demo is best understood not as a prototype generic tool, but as a specific curated experience in its own right, with form and content claiming equal importance in its overall success.
Even so, I think there are some general lessons that can be drawn from this demo:
Content is not inert
Visual texture lets content breathe
Visual texture lets the eye wander without losing itself
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.”