菲尔兹奖得主放弃批改作业
推荐指数 40.0 NO. 015 · 2026.10.26
发布2026/10/25Score124Comments192
简介
UC Berkeley数学教授Richard Borcherds因学生普遍用AI获得满分，停止批改作业正确性，改为按完成度给分。这标志顶尖学术界对AI能力边界的判断正在剧变，教育评估体系面临根本性重构。
编辑判断
Borcherds的身份极具信号价值：他是1998年菲尔兹奖得主，研究专长正是AI近期突破的代数几何和自守形式领域。他放弃批改作业不是技术悲观，而是基于一线观察的务实判断——当AI在本科数学作业上达到人类顶尖水平，"防作弊"成本已高于教育收益。
更值得追问的是评估体系的替代方案。Borcherds目前改用"完成度+考试"模式，但这只是权宜之计。MIT、CMU等校已在试点"过程性评估"（要求学生提交AI对话记录并反思），而Borcherds的沉默暗示传统数学教育尚未找到新范式。
对AI从业者的直接启示：数学能力曾是LLM的明显短板，如今连菲尔兹奖得主都承认失守。如果你在做AI教育产品，"防AI检测"方向已死，"与AI协作的学习设计"才是真实需求。
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意见分歧 164 条评论
核心争论：AI冲击下教育评估应回归课堂考试还是保留作业作为学习工具
In-class exams, either written or oral. If you don't do homework, it is only on you. And with paper and pen, the next semester, yes.
> If you don't do homework, it is only on you. The issue with this policy is hyperbolic discounting — students are fine choosing not to do homework when the consequences (EDIT: that is, doing poorly on the exam) are still in the future, but less so when they become present. Then they lash out at the
>> In-class exams, either written or oral. If you don't do homework, it is only on you. And with paper and pen, the next semester, yes. > The issue with this policy is hyperbolic discounting — students are fine choosing not to do homework when the consequences are still in the future, but less so wh