🦔UC Berkeley's computer science department just posted its worst failure rates in years. 35.3% of CS 10 students got F's in spring 2026, up from under 10% in prior semesters. Professor Dan Garcia says the primary driver is a "vast increase in academic dishonesty" through LLMs. Students use AI to complete assignments, never learn the material, then fail exams. His office hours, once full, are now empty.
My Take
Companies are firing experienced engineers while the pipeline that produces new ones is being gutted by the same technology. Students use AI to bypass the hard part of learning, show up to exams without the understanding, and fail. One professor discovered a student's linear algebra class had an "open AI" policy for homework and exams. That student then couldn't do basic linear algebra in the next course.
Both ends of the workforce are eroding at the same time. Senior engineers are getting cut to fund AI spending. Junior engineers are graduating without the skills because AI did their coursework. And the companies spending trillions on these tools haven't connected those two facts yet.
Hedgie🤗
🦔 伯克利大学计算机科学系刚刚公布了多年来最糟糕的失败率。2026年春季学期，35.3% 的 CS 10 课程学生挂科（得 F），而此前学期的挂科率低于 10%。丹·加西亚教授（Professor Dan Garcia）表示，主要驱动因素是“学术不端行为的巨大增加”，即学生利用大型语言模型（LLMs）。学生使用 AI 完成作业，却从未真正学习过这些材料，然后考试时就失败了。他曾经座无虚席的办公时间，现在却空空如也。
我的看法 公司正在裁员经验丰富的工程师，而生产新工程师的“人才管道”却正被同样的这项技术掏空。学生利用 AI 绕过了学习的艰辛部分，带着不理解的知识上考场，最终挂科。一位教授发现，有学生在高等代数课程中竟然对作业和考试实行了“开放 AI”政策。结果，该学生在下一门课程中连基本的线性代数都做不出来。
劳动力市场的两端正在同时被侵蚀。资深工程师被裁员，以资助 AI 支出；而初级工程师则在没有掌握技能的情况下毕业，因为 AI 代替了他们的课程学习。而那些投入数万亿美元研发这些工具的公司，似乎还没有意识到这两点之间的关联。
Hedgie🤗
https://x.com/i/status/2062580279810605205
My Take
Companies are firing experienced engineers while the pipeline that produces new ones is being gutted by the same technology. Students use AI to bypass the hard part of learning, show up to exams without the understanding, and fail. One professor discovered a student's linear algebra class had an "open AI" policy for homework and exams. That student then couldn't do basic linear algebra in the next course.
Both ends of the workforce are eroding at the same time. Senior engineers are getting cut to fund AI spending. Junior engineers are graduating without the skills because AI did their coursework. And the companies spending trillions on these tools haven't connected those two facts yet.
Hedgie🤗
🦔 伯克利大学计算机科学系刚刚公布了多年来最糟糕的失败率。2026年春季学期，35.3% 的 CS 10 课程学生挂科（得 F），而此前学期的挂科率低于 10%。丹·加西亚教授（Professor Dan Garcia）表示，主要驱动因素是“学术不端行为的巨大增加”，即学生利用大型语言模型（LLMs）。学生使用 AI 完成作业，却从未真正学习过这些材料，然后考试时就失败了。他曾经座无虚席的办公时间，现在却空空如也。
我的看法 公司正在裁员经验丰富的工程师，而生产新工程师的“人才管道”却正被同样的这项技术掏空。学生利用 AI 绕过了学习的艰辛部分，带着不理解的知识上考场，最终挂科。一位教授发现，有学生在高等代数课程中竟然对作业和考试实行了“开放 AI”政策。结果，该学生在下一门课程中连基本的线性代数都做不出来。
劳动力市场的两端正在同时被侵蚀。资深工程师被裁员，以资助 AI 支出；而初级工程师则在没有掌握技能的情况下毕业，因为 AI 代替了他们的课程学习。而那些投入数万亿美元研发这些工具的公司，似乎还没有意识到这两点之间的关联。
Hedgie🤗
https://x.com/i/status/2062580279810605205
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