The art stands on either plotter or printer. #algorist #reactiondiffusion #penplotter #printer
@timhutton Hey Tim! I built a 2026 fork of your Squirm3 that keeps the chemistry rules unchanged but modernizes the substrate: WebGPU rendering, 5000×3000 arena, water as continuum heterogeneous-Brownian regions, seedable RNG, save/load.
In a single seeded run I observed a closed a-a-a membrane loop spontaneously form around a cluster of intact protocells, then accumulate more cells over time:
1. iter 117,632 - outer loop, 1 inner protocell
2. iter 140,920 - 69-atom outer loop, 2 inner protocells
3. iter 157,068 - 78-atom outer loop, 4 inner protocells
Verified from the bond graph, not just visually, I also made an analysis script in the repo that walks the graph and runs point-in-polygon containment. The outer ring is ~3x the size of a typical single-cell membrane in the same run.
Your polymerization rule is scale-agnostic, so this is consistent with your chemistry, but I don't think meta-membrane formation appears in your 2002 or 2007 papers. Did you ever observe it in your own runs?
Three save files + the script are in the repo so it's reproducible. Load any save in the demo and you boot directly into that state.
Demo: https://davidortsac.github.io/primordium/
Saves + script: https://github.com/DavidOrtsac/primordium/tree/main/samples
Repo: https://github.com/DavidOrtsac/primordium
Big fan of your work!
#CellularAutomata #ArtificialLife #ALife #ReactionDiffusion #ArtificialChemistry
évolution d'une goutte de cristaux liquides qui dessine des motifs phasants de réaction diffusion.
Explore this photo album by Jonathan McCabe on Flickr!
@t36s Thanks, Daniel! The "depth" is just an illusion and comes from a creative approach to visualize cell ages. It's all one-and-a-half D only, though... 😉 2.5D would in principle be possible to, but somewhat harder to visualize/appreciate the interesting structures forming. Could be an animation or in 3D, handled like in the attached images, but even there a lot of the interesting internal structures forming are often getting lost once a certain complexity is reached (see info in alt text)...
Links to the respective projects/workshops:
- https://github.com/learn-postspectacular/sac-workshop-2013
- https://www.flickr.com/photos/toxi/albums/72157604724789091
#CellularAutomata #ReactionDiffusion #3D #Visualization #Processing #Generative
I wrote up the problem and my planned solution for the Reaction Diffusion Toy's multitasking. Check it out.
https://github.com/kbob/Reaction_Diffusion_Toy/blob/7fee5ce827931905a7ccf2f39de4bf4a29c757bb/rdembed/SYNC_NOTES.md
Now I just have to translate pseudocode into runningcode.
(Bumping @lkundrak 'cause I think he likes this stuff.)
🧵 22/N
The breakthrough is that I can reduce resolution arbitrarily. I could even draw a tiny 100x100 animation on my already tiny 1.69 inch (43mm diagonal) display. Or scale it to whatever size gives a reasonable frame rate.
So it's not how fast can it run, but how big can it run. 😉
Anyway, maybe soon I'll post my design documentation. Since this is hard (for me), I'm writing it out in great detail before I code.
No eye candy today, sorry.
🧵 21/N