Aesthetic Resistance -Generative Art System

Generative AI ecosystems exhibit convergence dynamics and representational bias. There was no interactive tool to visualize and resist dominant aesthetic reinforcement loops in real-time within the browser.

Created a browser-based real-time generative system using custom GLSL fragment shaders. Engineered a dual-force GPU rendering model combining aesthetic attractors with time-driven distortion, producing unique non-repeating visual outputs. The system runs entirely on the client GPU with zero server dependency.