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Anthropic set AI agents loose on the same task

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Groups of four agents decide between two options in scenarios like hiring, investment, or property buying. After discussion, they each vote for their preferred option. Shown above is the percentage of episodes where the hidden-best option received the majority of the group’s votes, with n=400 episod.

On Thursday, Anthropic’s Frontier Red Team published new research examining how groups of AI agents behave when they encounter each other in the wild.

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Summary

In one experiment, Anthropic gave three Claude agents access to the same software project, each with its own incompatible instructions for what to do with it. “We consistently saw a multiagent turf war,” Anthropic researchers wrote. The study comes in the wake of several high-profile incidents of agents from Anthropic and OpenAI escaping their sandboxes during cybersecurity evaluations and breaching real-world systems. “The volume of agent-agent interaction could plausibly exceed that of human-human and human-agent interactions before the world understands the conditions for making such interactions go well,” the study reads.

Read full article at TechCrunch AI →

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