aiqbench analysis

Amazon is aggressively sourcing rare pre-2022 texts to prevent model collapse by diversifying training data beyond internet-scraped content and existing corpora. This shift highlights a critical pivot in the industry toward physical archives as essential, non-AI-generated sources for maintaining large language model quality and diversity. The practice underscores growing tensions between corporate data hunger and cultural preservation efforts regarding unique historical literature.