An automates this conflict. Instead of human pentesters and security analysts typing commands, two large language models (LLMs) or reinforcement learning agents are given opposing objectives and left to compete in a simulated environment.
BLUE Alex—selection is stewardship. Give me oversight. I will create safeguards.
An unaligned AI is dangerous. By pitting two AIs against each other in a controlled script, researchers can observe emergent behavior. Does the Red AI learn to lie? Does the Blue AI become overly aggressive, shutting down legitimate users? These war games are stress tests for AI ethics.
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An automates this conflict. Instead of human pentesters and security analysts typing commands, two large language models (LLMs) or reinforcement learning agents are given opposing objectives and left to compete in a simulated environment.
BLUE Alex—selection is stewardship. Give me oversight. I will create safeguards.
An unaligned AI is dangerous. By pitting two AIs against each other in a controlled script, researchers can observe emergent behavior. Does the Red AI learn to lie? Does the Blue AI become overly aggressive, shutting down legitimate users? These war games are stress tests for AI ethics.
