According to Vitalik on X, adversarial governance mechanism design theory may have important applications in AI safety. He identified a deep duality between two environments: the first involves weaker principals achieving desired outcomes through stronger agents (where principals are static algorithms and agents are humans); the second involves human principals and weaker LLMs, with stronger LLMs serving as agents. Vitalik noted that research suggests limiting collusion between agents could lead to better outcomes, a principle potentially applicable to AI safety.
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