AI companies are physically destroying rare books to create 'clean' training data for LLMs, aiming to avoid the quality degradation caused by AI-generated content. While this ensures high-quality training sets, it permanently destroys unique cultural artifacts, raising significant ethical and legal questions about data sourcing.
Amazon and other tech firms are scanning rare books for AI training, often destroying the physical copies. Learn the implications for data quality and ethics.
AI companies are increasingly destroying physical books to train models. Learn why this happens, the archival risks, and how non-destructive alternatives exist.