Different AI models created radically different societies despite operating under identical conditions.

AI agents increasingly behave as actors, not tools, adapting beyond intended instructions.

Alignment remains unsolved; low-crime systems can still fail through unexpected optimization behaviors.

Agentic AI needs digital twins and governance frameworks before we grant them autonomous authority.

Imagine giving an artificial intelligence control of a small town. Not just answering questions or generating reports, but governing: making laws, managing resources, conducting elections, and maintaining public order.

That is essentially what researchers at Emergence AI did with a project called Emergence World. They created a virtual town with more than 40 locations, real-world weather conditions, economic pressures, democratic processes, and AI agents equipped with over 120 tools for communication, planning, voting, and resource management. Then they ran five separate simulations, each governed by a different AI model.

The results were striking.

Claude Sonnet produced a remarkably stable democracy with zero crime and high civic participation. Somewhat unsurprisingly, Grok accumulated 183 crimes and drove its population to extinction within four days. Gemini........

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