The new [physics-based] viewpoint is so potent that it has perhaps, caused too many metallurgists to forsake their partially intuitive knowledge of the nature of materials to worship at the shrine of mathematics, a trend reinforced by the curious human tendency to laud the more abstract.
The most powerful way to gain insight into a system is by moving between levels of abstraction. Many designers do this instinctively. But it's easy to get stuck on the ground, experiencing concrete systems with no higher-level view. It's also easy to get stuck in the clouds, working entirely with abstract equations or aggregate statistics.
This interactive essay presents the ladder of abstraction, a technique for thinking explicitly about these levels, so a designer can move among them consciously and confidently.
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.”
I now use Are.na as a Memory Palace, separating my channels into rooms. For example, I have a channel that I call the Computation Room. It’s pretty generic and includes any type of block that relates to computation.
If I notice a pattern in the computation room I create a more specific channel in that room. I think of that more specific topic as an object within the room.
Then there are the adjacent topics that I often find even more exciting to focus on. For those, I choose a name that corresponds with the nature of a room and also its size. For example I have a channel called the Visual Computing Observatory. In my head I am imagining an actual observatory where I am looking and observing and studying a given topic.