AI Models Absorb Bogus Term Found in 22 Papers as OCR and Translation Errors Fossilize
Updated
Updated · Futura · Sep 8
AI Models Absorb Bogus Term Found in 22 Papers as OCR and Translation Errors Fossilize
1 articles · Updated · Futura · Sep 8
Summary
Researchers found the meaningless phrase “vegetative electron microscopy” embedded in AI systems after it surfaced in 22 scientific publications and multiple model outputs.
GPT-3 completed prompts with the phrase, while GPT-4o and Claude 3.5 still reproduced it; earlier models such as GPT-2 and BERT did not show the same tendency.
The term appears to trace back to a 1950s digitization error that merged words across columns, then spread further through Farsi-to-English translation confusion in 2017 and 2019 papers.
Springer Nature retracted affected articles, while Elsevier first defended the term before issuing corrections, underscoring uneven publisher responses as web archives like CommonCrawl preserve such errors.
The case highlights how “digital fossils” can harden into scientific and AI knowledge bases, while current detection tools mostly catch only mistakes already known.