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Rohan Paul@rohanpaul_ai
This paper finds that AI-text detectors trained on a vendor's older models caught over 99% of rewrites before a generation change and only 3.8% after it.
Detectors that screen scientific papers for AI writing can stop working when a new LLM generation arrives, so anyone relying on them should re-test them with every model release.
Pangram, the AI-text detector, missed 79.8% of scientific abstracts rewritten by Meta's Muse-Glimmer, while flagging just 1 of 5,000 human abstracts.
In a new paper from Tokyo Metropolitan University, reseaerchers find the share of AI-rewritten abstracts that Pangram misses depends strongly on the LLM version
Shows that it caught 93.5% of GPT-5 rewrites but missed 79.8% from another new model. Its miss rate depended mostly on which model did the rewriting.
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