Amazon is reportedly destroying rare books to create training data for large language models (LLMs) used in artificial intelligence development. This controversial practice was highlighted by TechCrunch, which claims the tech giant is sacrificing valuable literary works to improve its AI capabilities.
The use of rare and unique texts is seen as a way to enhance the quality and diversity of AI training data, but it raises concerns about the preservation of cultural and historical materials. Amazon’s approach underlines the growing demand for extensive datasets to fuel advancements in AI technologies.
For Japanese investors and markets, this development signals the intensifying competition in AI innovation, where securing unique data sources is becoming a strategic asset in technology development and market positioning.