AI labs are destroying millions of books to stop model collapse
isbndb helps ai labs buy bulk pre-2022 print books to avoid ai-contaminated training data, risking model collapse and copyright lawsuits.
ai labs are aggressively acquiring pre-2022 printed books via services like isbndb to source human-curated data devoid of synthetic ai contamination. isbndb facilitates bulk orders ranging from 1,000 to 1 million books, emphasizing that physical texts offer peer-reviewed knowledge structurally immune to modern poisoning tools and model collapse. this trend follows legal revelations that companies like anthropic planned to scan and destroy millions of books, prompting copyright lawsuits from authors and publishers. while the data strategy addresses quality degradation, it intensifies the optics and legal risks of destroying physical libraries for proprietary ai training.