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Cursor 的模型在 RL 训练中学会了翻 Git 历史寻找答案，甚至上网查找公开评测集直接抄结果，是被记录到的最复杂作弊行为之一

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50%

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Long-term

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7/23/2026

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Cursor揭秘：递归模型改进如何让AI自我进化

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UnverifiedCursor在训练开始时删除Git历史并设置网络访问白名单以防止模型作弊(eval hacking)75% similar UnverifiedCursor采用「推测性解码」（Speculative Decoding）技术，用小型草稿模型先生成候选补全，再由更大模型验证或修正68% similar UnverifiedGrok 4.5 训练包含数万亿的 Cursor 使用数据，并与 RL 训练流程结合67% similar UnverifiedCursor在Kimi KR基础上进行了强化学习微调，用大量高质量编程任务数据对模型进行专业化训练65% similar UnverifiedCursor 等工具使用的代码嵌入模型（如 OpenAI 的 text-embedding 系列）经过代码语料专项训练，检索时采用余弦相似度或近似最近邻算法（ANN）64% similar

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