The Internet is changing the economics of creative work – or, to put it more broadly, the economics of culture – and it’s doing it in a way that may well restrict rather than expand our choices. Wikipedia might be a pale shadow of the Britannica, but because it’s created by amateurs rather than professionals, it’s free. And free trumps quality all the time.
Different from the typical website whose URLs act as persistent indexes to a page and its contents, Tokenize This destroys each work right after its creation. While the unique digital object remains viewable by the original visitor for as long as they leave their browser tab open, any subsequent attempt to copy, share, or view that URL in another tab, browser, or system, leads to a “404 Not Found” error. In other words, Tokenize This generates countless digital artifacts that can only be viewed or accessed once.
There’s a movement called the circular economy which is about designing services that don’t include throwing things away. There is no “away.”
A non-extractive economy is going to look very different to today’s economy. These points feel opposed somehow but they are part of the same movement:
With CupClub, it’s all about infrastructure.
With the battery-free Game Boy, it’s untethered from infrastructure: once manufactured, no nationwide electricity grid is required to play.
We’ll need better tools to track and measure. There will be new patterns for new types of services. New technologies to build new products. New language. So it’s fascinating seeing the pieces gradually come together.
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.”