What the Algorithm Wants

Amalia Ulman’s Excellences & Perfections anticipated how internet aesthetics, tropes, and memetic performance would evolve into potent vectors for ideological manipulation. This article uses dynamical systems theory (DST) to examine how visual and affective patterns shape belief systems. Through a case study of Ulman’s work and the phenomenon of “Pastel QAnon,” I argue that if artists can model the affective architecture of influence—its aesthetic contours, feedback loops, and attractors—they can also reroute these systems. By disrupting harmful attractors, introducing emotionally coherent counter-aesthetics, and exposing algorithmic biases, art can intervene within the systems it critiques.