How does a flock of birds swivel so gracefully around the modern city skyline?
How do two flowers, on mountains across corners of the planet, grow to evolve similar geometries?
50 years ago, John Conway conceived a discrete grid model of computation where complex, emergent behaviors arise from incredibly simple local rules.
The mesmerizing diversity of the natural world, our biology, and our societies, can be interpreted through finite local rules.
I’m exploring local interactions as a generative source of beauty in vision and sound.
Can core sounds self-interact to generate a sonic landscape as graceful to the human ear, as a flock of birds is to the human eye?
While most generative artificial intelligence today relies on regurgitation and remixing of spoon-fed data, I believe we can generate a beautiful landscape from capturing token concepts as simple rules and letting them self-evolve.