Zachery Lipton: "CS academia broke the system...perhaps all that it takes for the system to rebuild is for it to burn to the ground" [D]
Zachery Lipton suggests that CS academia has "broke the system," implying a need for radical change. This sentiment arises as the number of new machine learning papers uploaded to cs.LG on arXiv reached an all-time daily high of 447 on September 9, 2026. The discussion questions whether the current academic system is beyond repair and if it needs to be "burned to the ground" for good science to resume.
时间与来源
时间显示为 UTC
显示时区：UTC
本地时区尚不可用，暂时显示 UTC。
发布当时偏移：UTC+02026年9月13日 10:42 UTC
收录当时偏移：UTC+02026年9月13日 16:01 UTC
- 发布
- 2026年9月13日 10:42
- 收录
- 2026年9月13日 16:01
- 来源类型
- 开发者社区
- 档位
- 社区
- 信源状态
- 正常
档位是按信源手工设定的编辑判断，不是逐条打分。
Sept 9, 2026 hits an all time daily high of 447 new machine learning papers uploaded to cs.LG (https://arxiv.org/list/cs.LG/recent?skip=0&show=500 ).
This is many times more papers than what a human being or even a sizeable reading group could feasibly read and digest in a year.
Are we pass the point of no return? Should the system be be, like he says, "burned to the ground" before good science can resume?