Dawn-diffusion is a deterministic generative art engine by Joshua Watts, built with Muse for Jaiye (@dawnjaiye) in October 2026. It uses Gray-Scott reaction-diffusion to render glowing tubes in three regimes (Worm Field, Deep Drift, Ember Seeds), with every output derived from a 64-hex hash and exportable as a 1080×1080 PNG. It is structured as an Art Blocks-style project to lead an application at artblocks.io/apply, with a live demo and no build step.
Digital & AI Art
Digital, generative and AI art: new works and artists, exhibitions, tools, and the market for art made with code.
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Oct 7 · 3 of 5 shownA GitHub portfolio by Thijn Köhne of ten self-contained coding projects in plain HTML, CSS and JavaScript with no dependencies. It includes a zero-dependency generative-art studio with seeded, reproducible sketches and PNG export, alongside simulations such as boids, fluid dynamics and wave function collapse. Most projects with a testable core are covered by Node tests, while the art studio is verified in the browser.
A Python generative-art poster rendered from a rumor-propagation simulation, in the repo hellobs/radius-of-a-single-share. It uses 24 locally hosted LLM persona agents to calibrate behavior and a 3,000-node BA scale-free network running rumor-vs-truth competition. In the simulation, debunking cuts the attack rate from 77.9% to 18.7%.
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