Deterministic generative artwork rendering a fingerprint-inspired orientation field. Mono and colour variants render the same field with different styles.
My undergraduate thesis collected over 5,000 fingerprint samples to study the hardest edge case in biometric forensics: distinguishing identical twins, two systems that look nearly indistinguishable at a glance but diverge completely once you trace them far enough. Fifteen years later, that same instinct — find where near-identical inputs stop behaving identically — is the throughline of my current AI alignment research, from classifying deceptive model behavior by underlying motivation to probing where a model's internal representation of intent becomes separable across its layers. This piece returns to the original biometric question directly. It implements a simplified version of the classical Sherlock-Monro zero-pole model used in fingerprint synthesis, integrati
