In artificial intelligence, "self-play" describes systems learning by competing against themselves. Yet this pattern of self-interaction echoes across nature: in quantum particles interacting with their own fields, immune systems learning self-recognition, minds rehearsing possible futures, and cultures evolving through internal dynamics.
This piece translates these universal patterns into generative art. The algorithm doesn't just depict self-play—it embodies it. Multiple scales of self-awareness interact as patterns observe, modify, and reproduce themselves. Rules evolve through their own application. The visual language emerges from the system's self-discovery.
The resulting artwork exists in a constant state of becoming, each moment capturing the delicate dance between order and chaos, between self-knowledge and self-transformation. As you watch the patterns unfold, you're witnessing a system engaged in the fundamental process of self-play: the eternal conversation between what is and what could be.
Like all deep principles in nature, self-play reveals itself to be not just a method, but a metaphor for the creative process itself—a mirror reflecting the endless dialogue between creator and creation.