AI research papers are getting better, and it's a big problem for scientists
AI-generated research papers are becoming increasingly sophisticated, making it harder for peer reviewers and editors to detect fraudulent or low-quality work. This surge in AI-produced papers is overwhelming the academic publishing system, which already faces a shortage of reviewers. As AI tools improve, the risk of undermining scientific integrity grows, despite their potential to accelerate legitimate research.
- ▪Peter Degen discovered that a 2017 paper was being cited hundreds of times due to AI-generated studies using the same dataset.
- ▪A Guangzhou-based company offers tutorials and AI tools to produce publishable research in under two hours.
- ▪AI-generated papers are now more convincing and contain fewer obvious errors, making them harder to detect than earlier versions.
- ▪The influx of AI-generated papers is exacerbating the strain on the peer-review system, which is already overburdened.
- ▪Generative AI has become a powerful tool for 'paper mills' that sell authorship slots to individuals seeking academic advancement.
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| Original publisher | The Verge |
| Canonical URL | https://www.theverge.com/ai-artificial-intelligence/930522/ai-research-papers-slop-peer-review-problem |
| Publication time | Sat, 16 May 2026 15:10:06 +0000 |
| Retrieval time | 2026-05-16T15:15:18.844Z |
| Last seen | 2026-05-16T15:15:18.844Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 9y_Tdarbu2F5 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
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| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
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AICloseAIPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All AIScienceCloseSciencePosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All ScienceAI research papers are getting better, and it’s a big problem for scientistsJournal editors and peer reviewers are being flooded with AI-generated papers that are almost impossible to detect.by Joshua DziezaCloseJoshua DziezaPosts from this author will be added to your daily email digest and your homepage feed.FollowFollowSee All by Joshua DziezaMay 15, 2026, 11:00 AM UTCLinkShareGiftImage: Amelia Holowaty Krales / The VergeLinkShareGiftLast summer, Peter Degen’s postdoctoral supervisor came to him with an unusual problem: One of his papers was…
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