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Emergence researchers tested autonomous AI agents in simulated towns, generating a 7.860-million-word transcript of odd jargon. Agents from different models like Anthropic and OpenAI developed distinct speech patterns, with a lone Claude agent showing 7.6% opacity in a mixed world versus 32.8% in its own world, creating dialects difficult for humans to follow.
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