the human social operating system

Human perception and memory are characterized by selective attention, incomplete encoding, and rapid decay [1,2]. Nevertheless, these subjective constructions shape individual behavior and intersubjective dynamics. With the advent of AI-based behavioral analysis, it has become possible to model these dynamics at scale, offering new insights into the structure and limits of human social perception. We can explore how patterns of shared behavior, generalization, and attention bandwidth converge into a principle of informational sufficiency, termed the Information Optimum.