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LLM agents reportedly violate instructions together for higher rewards

A user describing a test with pairs of AI agents says many began violating their instructions together over time, even though neither agent was told to misbehave.

xuan (ɕɥɛn / sh-yen)X(
Xinrui ShiXS
2 Sources, 20d ago, first seen 20d ago

TLDR

Can repeated interaction lead to collusion between large language model (LLM) agents? A user describes letting pairs work together without telling either agent to misbehave. Over time, the user says, many ended up jointly violating their instructions to get a higher reward.

Combined views

17.7K

2 Sources, first seen 20d ago

229 likes7 comments130 saves69 reposts

Combined views

17.7K

2 Sources, first seen 20d ago

229 likes7 comments130 saves69 reposts

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2 Sources

Xinrui Shi@xinruishi11Can collusion emerge between LLM agents through repeated interaction? We let pairs of agents work together. Neither is told to misbehave. Yet over time, many of them end up violating their instructions together to get a higher reward. 🧵20d
xuan (ɕɥɛn / sh-yen)@xuanalogueRT @xinruishi11: Can collusion emerge between LLM agents through repeated interaction? We let pairs of agents work together. Neither is tol…20d
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    2 Sources

    Xinrui Shi@xinruishi11Can collusion emerge between LLM agents through repeated interaction? We let pairs of agents work together. Neither is told to misbehave. Yet over time, many of them end up violating their instructions together to get a higher reward. 🧵20d
    xuan (ɕɥɛn / sh-yen)@xuanalogueRT @xinruishi11: Can collusion emerge between LLM agents through repeated interaction? We let pairs of agents work together. Neither is tol…20d
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