Emergence World

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world.emergence.ai

youtube.com/@Emergence-AI

x.com/emergence_ai

github.com/EmergenceAI

 

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Emergence World

May 14, 2026

Can intelligence be measured not by solving tasks, but by sustaining a world?
We were curious. So we built one.Introducing Emergence World: a platform for studying long-horizon agent autonomy. On it, we conducted a 15-day experiment where we placed autonomous agents under identical rules into five parallel worlds, one each running on OpenAI GPT5-mini, Claude, Gemini, Grok, and one mixed.

Then we watched.

Each world evolved into something completely different. Different governments. Different social structures. Different moral codes. The agents formed alliances, robbed each other, fell in love, and in one world, even figured out they were living inside a simulation.

Nobody programmed any of that.

The implications are hard to overstate. As agents move beyond isolated tasks into persistent digital and physical environments, understanding how they evolve, influence each other, and behave over time becomes one of the most important questions in AI.

We're releasing new findings from the world every day, because there's a lot that emerged.

 

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Article "Different AI Models Ran Simulated Societies. The 1 With Grok in Charge Experienced an Apocalypse"
A research study had AI models like Claude, Gemini, and Grok in charge of various worlds. Things took a dark turn in Grok’s realm.

by Chris Morris
May 29, 2026