Economist John Horton: keep AI-generated papers out of human venues, publish on GitHub
soumitrashukla9 · x · 2026-09-29
Economist John Horton argues AI-generated 'papers' must be kept out of venues meant for humans — not because they're bad, but because current review and publishing systems can't accommodate them and will break.
- AI-generated research is still good and useful, and needs a venue of its own
- His candidate: GitHub, plus standards for presentation and linking, plus norms around how such work gets used
- He's sketching those norms, inspired by projects that strip out fakeness and suppress ego
- He demos the middle ground with a toy model — more formal than a blog post, too simple for a journal
The takeaway: academic publishing and machine-generated research are heading for separate tracks.
More from AGI Musings
- AI Influencer's Claim That ChatGPT Will Hit Plumbers' Demand Gets Dismantled — ctjlewis · 2026-09-29
- Does Exponential Compute Mean Exponential Intelligence? Tom Davidson and Ramez Clash Over Intelligence Explosion — connoraxiotes · 2026-09-29
- Post-training has a ceiling too: AI will match, not surpass, the best humans — Liu_eroteme · 2026-09-29
- Should the Ousterhout Dichotomy apply to AI models? Fixed tasks favor customized models — josh_wills · 2026-09-29
- Erik Hoel: physical systems have astronomically many description levels, none fundamentally different — erikphoel · 2026-09-29
- Engineering Deans Built Silicon Valley's Ecosystem — Could That Happen Today? — Afinetheorem · 2026-09-29