1 min readfrom Machine Learning

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: "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: "CS academia broke the system...perhaps all that it takes for the system to rebuild is for it to burn to the ground" [D]

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.

This is preceded by around 200/day of new ML papers before and after.

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?

submitted by /u/NeighborhoodFatCat
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Tagged with

#Machine Learning
#CS Academia
#Zachery Lipton
#Scientific Research
#cs.LG
#arXiv
#Publication Volume
#Point of No Return
#Systemic Issues
#Reading Group
#Scientific Progress
#Academic System
#Burn to the Ground
#Peer Review
#Information Overload
#Reproducibility
#Good Science
#Research Papers
#Daily High