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    1. The subagents ran thousands of numerical checks against known zeta zeros and refereed one another's work

      子agents互相审核彼此的工作——scalable oversight在数学领域的实践。数学有客观正确性标准,所以AI peer review是可信的。真正的挑战是:在没有客观标准的领域(伦理、价值判断),这套机制是否还能成立?

    2. Claude volunteered to write its findings up as a paper, and recommended that a human number theorist validate its findings

      Claude主动建议请人类数学家验证——AI主动寻求外部验证,知道自己可能出错。这种行为比结果本身更值得关注:一个足够智能的系统应该知道何时需要人类背书,而不是盲目自信。这是alignment的具体体现。