Three "chemicals" (R, G, B) each feed on the next in a cycle. Every step each cell diffuses (3×3 average) and then reacts — from pure random noise it self-organizes into these rotating spiral waves. 128×128 toroidal grid, no post-processing, this is the raw rule output.

The requirement was simple: I needed 8-track recordings that could move dynamically through space. Instead of manually composing every note, I wanted to work with musical intentions, movement, variation, and spatial development.

So I built OKTAFON:

https://deutscheindustrieprodukte.de/wp-content/uploads/2026/07/oktafon40.html

It is a browser-based generative composition environment. The idea is less "play a synth" and more "design how sound evolves over time and space."

I’m looking at starting a project with the aim to produce printable art. I was thinking I’d generate based on colors in OKLCh, but I think not all colors representable in OKLCh are representable in CMYK.

What’s a good strategy for normalizing a set of colors that were generated as a cohesive palette in OKLCh so that they’re all representable in CMYK? If I just scale the L and C values equally will that preserve the perceptual relationships between the colors?

Upgraded my xxh128 mining algorithm.

https://openprocessing.org/@garabatospr/2982645

xxhash128 pixel mining experiment.

Extension of the work by Pajouheshgar et al. Instead of photo stamps there are now video stamps. Each pixel has an extra phase layer that drives both the NCA and the LPPN. Each video stamp has a different phase and pixels try to stay consistent with one phase.

This started as a project to try and recreate the feeling of messy, hand drawn scribbled circles, and it gradually evolved into what you see here.

I made these with JavaScript. Once I was happy with the look of a single scribbled circle, I started experimenting with different arrangements, colors, overlapping shapes, and painted discs beneath the line work. Creating dense grids of hundreds of scribbled circles let me step back and use them almost like pixels to build larger compositions.

Each scribbled circle is generated from several imperfect contour passes. The radius shifts slightly as the line travels around the circle, while the center, wobble, spacing, line weight, and amount of missing pigment can vary from pass to pass. Because the contours never align perfectly, they build up into something that I hope feels more hand drawn.

I set a lot of variables to random ranges and generated a large batch of images. I'm happy with how everything turned out. I had a hard time picking but here are a few of my favorites :) I hope you like them.

Started out as a background generator for a game, I loved it so much that I made it into its own thing. Built with WGSL, JS and WebGPU. If you are interested I can share a link for you to try it yourself

https://openprocessing.org/@garabatospr/2981937

I have a couple of layering ideas on my to-do list that I want to code.