Editor runs paper through ChatGPT after rejection; AI finds real errors missed by reviewer
skdh · x · 2026-08-15
A researcher shared an experience where, after a paper was rejected due to an unproductive back-and-forth with a referee making repeated mistakes, the editor ran the manuscript through ChatGPT. Unlike the human reviewer, the AI uncovered actual errors in the paper and provided genuinely useful feedback. The author concluded that a real-time chat with an LLM is preferable to months-long back-and-forth with human reviewers.
More from Research
- ReOPD: Skip SFT when you have stolen reasoning traces — offline variant is 4× faster — heghbalz · 2026-08-15
- Inherent Labs unveils Replica: scalable task space for training agents to replicate paper figures — heghbalz · 2026-08-15
- Stanford researcher argues CoT monitoring has fragile foundations and long-term risks — maksym_andr · 2026-08-15
- DeepSeek releases Harness with formal paper, inspired by Jane Street's functional programming — sudoraohacker · 2026-08-15
- Research: Rational AI adoption could destroy professional expertise — The Decoder · 2026-08-15
- Hugging Face Report: Chinese Open Models Surpass US in Scale — RisingSayak · 2026-08-15