Researchers replaced human users with Vision-Language Models to replicate Picbreeder, a system for evolving diverse image libraries. The study tests whether AI agents can perform unguided, fruitful discovery of novel forms. Results suggest a gap between human creative search and current automated processes. This provides a benchmark for measuring agentic creativity.