Firehose

Researchers scored the full text of 12,750 arXiv papers and found that approximately 30% of new ones (submitted between 2021 and 2026) read as machine-written, with the share peaking at around 32% in the most recent quarter. The detection method, calibrated to a 0.4% false-positive rate, shows that fields with more prose-heavy content (e.g., computer science, quantitative biology) tend to have higher machine-written shares, while fields with less prose (e.g., mathematics) tend to have lower shares. However, the results are limited by a small control sample size and potential biases in detector coverage. AI summary