A book’s title page contains more than its namesake—including its author, contributors, publisher, and release date, and. Antiquarian books are known for having lengthy titles, especially those of a scientific nature. These books’ frequently unassuming title pages are gateways to a wealth of knowledge and the focal point of this project.
Title pages of antique influential scientific books covering a variety of subjects were coded and reimagined as colorful cityscapes based solely on their words to illustrate the unique body of knowledge readers would find within.
Boxes were drawn around each word of a title page and color-coded by its first letter (words beginning with “A” are one color, “B” another, and so on). Each title page has its own palette. Those boxes were then upended and arranged to form an abstract cityscape while maintaining their original sizes relative to each other.
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.”