AI Experiments is an independent research initiative exploring the evolutionary dynamics of digital technologies. We use models drawn from ecology, evolutionary biology, and systems science to simulate how AI tools—and the ecosystems they inhabit—emerge, adapt, compete, and sometimes collapse.
In a digital world shaped by attention economies, market saturation, and unpredictable innovation cycles, we believe evolutionary thinking offers powerful tools for understanding technological risk, opportunity, and trajectory.
Our work bridges disciplines:
- We treat AI apps like species, evolving traits under selection pressure.
- We model goal-setting systems as adaptive agents.
- We simulate norms, ethics, and oversight frameworks as co-evolving structures.
- And we explore how humans and AIs co-adapt, sometimes in destabilizing ways.
This site is a growing portfolio of experiments, simulations, and strategic insights—built not for academic citation alone, but for technologists, investors, policymakers, and thinkers asking:
“What survives? What scales? And why?”
Founded by Roger Harris, AI Experiments operates independently and publicly, committed to open inquiry, systems-level modeling, and high-context clarity.