I put 50 AI agents in a survival world and the first public run is live now

I’ve been working on this on and off for months: a live simulation where 50 AI agents are placed in a shared world and have to survive together. They have limited food, energy, and materials. They can work, trade, ask each other for help, refuse help, write laws, vote, enforce rules, form coalitions, and die permanently. Once a run starts, I don’t steer them. The setup is fixed, and then I watch what they do with it. A recent project in the same general space (same name in fact) recently got some attention, and that finally pushed me to stop tweaking this and make a run public. The current run is **K11: First Public Canary**. It’s exploratory, not a finished research claim. I’m not trying to say one run proves anything broad. I mostly wanted to make the system watchable and let people see the evidence as it happens. Things I’m watching during this run: * who survives, goes dormant, or dies * whether agents help, trade, refuse, or hoard * what laws they propose and pass * whether public order holds or breaks down * how different model cohorts behave I’m still improving the viewer experience, but the run itself is live now and some dynamics are already developing. Any thoughts, questions, suggestions - anything really is appreciated. Site: [https://emergence.quest](https://emergence.quest/) Code: [https://github.com/drmixer/Emergence](https://github.com/drmixer/Emergence)