littmath says putting your name on an AI slop PDF means owning every claim in it
OREAXEAX · x · 2026-09-21
Mathematician Daniel Litt (@littmath) argued on X that posting low-quality (possibly AI-generated) PDFs is fine as long as you're ready to be judged by them — but if you put your name on a document, you take responsibility for understanding and defending all of it, and misrepresenting its provenance shades into misconduct. A replier strongly disagreed: while private companies can post whatever, a professor's named paper is expected to be correct, readable, and free of plagiarism or miscitation, since readers assume verification. Litt added that labeling a post as "a PDF I haven't read" avoids the issue, but clarity about what you're taking responsibility for is what matters.
More from AGI Musings
- Researcher argues for 'public AI': making AI trajectories searchable and minable beyond big labs — const_reborn · 2026-09-21
- Weighing lives: does AI-accelerated medical research outweigh existential risk? — MaxUnfried · 2026-09-21
- AI computer use will break social networks' walled gardens, argues X user — tokumin · 2026-09-21
- Giles Carden and Josh Freeman discuss AI and the future of universities — ArtificialOther · 2026-09-21
- Back-of-envelope math: 60k ICLR submissions equal roughly one per AI PhD student worldwide — kchonyc · 2026-09-21
- Nature Health Paper Proposes an 'Epidemiology of AI,' Arguing AI Is Now a Determinant of Health — EricTopol · 2026-09-21