A new study explores the potential of Vision Language Models (VLMs) to replicate the open-ended creative processes seen in human-driven projects like Picbreeder. The research highlights qualitative differences in output and suggests that factors like exploratory noise and behavioral diversity can influence the effectiveness of AI in generating novel content.