Show HN: Can an AI model fit on a single pixel? (github.com) AI

Show HN shares an open-source project, ai-pixel, that trains a tiny single-neuron binary classifier and then encodes its learned weights into the RGB values of a downloadable 1x1 PNG. The demo lets users place training points, run gradient descent, and later load the “pixel model” to make predictions. The article emphasizes it’s an educational compression experiment with predictable limits (e.g., it can’t learn XOR or other non-linearly separable patterns).