研究团队表示，三款模型基于相同的基础训练数据集，高一致率的结果符合预期。真正具备研究价值的是模型间25%的分歧部分，这种差异大概率并非源于模型对工具质量的独立判断，而是由基于人类反馈的强化学习（RLHF）调优策略不同，以及生成环节的专属微调差异导致。

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这种“实时交互型”攻击模式的核心优势在于其极高的灵活性和欺骗性。攻击者可以利用社交工程话术解释页面上的异常行为，消除受害者的疑虑；同时，通过实时中继技术，攻击者能够在受害者输入验证码的瞬间，将其转发至真实的目标系统进行验证，从而成功通过MFA检查并窃 ...

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