Every pixel is the predictive output of an ML model running in your browser, unique to each piece.

To initialize the model, a random set of colored training points are generated using the fxhash, then the model infers the color of every pixel on the screen based on its position relative to the training points.

This inference process is CPU intensive and may be slow on mobile, therefore the live version is best enjoyed in a desktop browser.