Open-endedness reconciles the high goals of machine learning with the goals of high art, establishing the freedom for machines and humans to freely explore what interests them in the hope of discovering something new. We conceived this project as a game to try and give agents the freedom to go on a novelty hunt for new images, and I liked the idea of calling it "Kinder Scout" in reference to the Mass Trespass in the mountains of England - a protest that attempted to establish the right for anyone to roam the land freely. I hadn't told our collaborators @teropa and @samueldiggins my naming idea yet when they explained to me they had planned a retreat for a few days near the deadline they couldn't reschedule. When I asked where, they said "Kinder Scout". Just wow. In the spirit of unplanned signs (what I call angel moments) we rode the serendipity and asked them to wear cameras for their hike, with the simple prompt to only follow what they thought was interesting in the moment. These images are sent to an ensemble of agents who mutate and narrativize to try and improve on their most novel images. Humans and inhumans on the same mission to discover something together. Eternally grateful to Tero and Sam for being so down to experiment and see where things lead.