Swarm Dynamics captures the essence of collective behavior and self-organization inherent in both natural and artificial systems. This generative self-portrait visualizes the intricate patterns formed by multiple autonomous agents interacting within a shared environment. Each line represents an individual agent’s trajectory, influenced by local interactions and global patterns. The convergence and divergence of these paths symbolize the balance between individuality and collective harmony, reflecting the dynamic processes that underpin artificial intelligence’s ability to adapt and evolve through interconnected data streams. By employing a network of interwoven lines with controlled opacity and a restricted colour palette, Swarm Dynamics embodies the fluid yet structured nature of collaborative intelligence.