Amazon, once an online bookseller, is destroying rare books to train AI models
Amazon has begun shredding rare and out‑of‑print books to harvest fresh textual data for its large language model training programs, a move driven by the diminishing returns of scraping publicly available web content. By accessing the unique vocabularies, historical contexts, and niche subjects found only in these volumes, Amazon aims to improve model performance on specialized tasks and reduce reliance on saturated online corpora, signaling a new frontier in AI data acquisition.
What this means for you
Professionals should monitor how proprietary data sources like rare books are being leveraged for AI, as access to exclusive corpora may become a competitive advantage in model development.
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