Pattern Encoding
Structure accumulating through repetition, variation, and local interaction.
This work begins as a simple system: a grid of discrete units, each either filled or empty. After a conversation around Random Order, I was interested in asking AI to generate a similar structure—something governed by simple rules, but open to variation.
A finite combinatorial logic underpins the structure — a system capable of generating a complete set of permutations, though here it is only partially explored. By introducing small shifts—removals, interruptions, uneven densities—the surface moves away from uniformity. Rather than designing specific compositions, the process becomes one of observing how local changes accumulate.
Patterns begin to suggest themselves—clusters, lines, densities—but never fully resolve into a fixed structure. The eye searches for meaning, reading fragments as symbols or signals, though no single interpretation holds.
What emerges sits between image and language: a field that feels encoded, but remains open. Order is distributed, formed through repetition and deviation rather than imposed hierarchy.



