AI use leads UC Berkeley math professor to see 'no point' in grading homework(dailycal.org)
221 points by romanhn 20 hours ago | 320 comments
tl;dr: UC Berkeley math professor and Fields medalist Richard Borcherds has stopped grading homework for correctness because so many students use AI to get top scores, instead grading only on completion. He warns that if AI keeps improving at its current pace, human mathematicians may soon be outmatched entirely, and says he no longer knows whether to recommend students pursue math careers. Berkeley has tested AI detection tools like Turnitin and Rumi but found them inadequate, leaving AI policy to individual faculty discretion.
HN Discussion:
  • ~Homework shouldn't be graded anyway; only exams should measure mastery
  • •Context about the professor's credentials and background without taking a stance
  • ↑AI removes the forcing function that made even cheating educationally valuable
  • ~In-person pen-and-paper exams are the solution to AI cheating
  • ↓The problem predates AI (Wolfram Alpha) and teaching/learning will adapt