A limited collection of 64 algorithmically generated artwork. Each unique piece is then given a title by the OpenAI GPT-3 language model.
Creation Process
Each item is generated by an algorithm.
The first step is to pick the primary colors for the artwork. I pick a random HSV value in a range, then a secondary color based off of that.
I also name the colors (this is important later) using a color-lookup table that picks the closest (Euclidean distance) match on its HSV value.
The art itself is then generated by drawing a series of connected lines, with variable thickness. The color and thickness changes between each point. These colors, points, and thickness are then serialized into a code like this:
A:512:332823:29ff00:392.293.12:341.337.16:208.141.20:294.207.24:392.293.12:196.286.28:119.371.32:139.350.36:137.330.40:392.293.12
...which is then used to render the image. In this way, the meta-data also contains a redundant back-up of the image itself.
Name Generation
Finally, this is the most interesting part for me. The title of each piece is also generated by machine as well.
The color names (e.g. Rangitoto, Bright Turquoise) are used as part of a prompt to OpenAI GPT-3 language model.
It comes up with some very interesting stories for each image. For example:
VANISHED DREAMS, LET’S BURN THE CROWS, FROZEN OCEAN
Together the names and the images are both machine generated, and evoke some story or emotion (at least to me), which is why I called this collection "Machine Psychology."