Amazon, which started off selling books, is destroying rare texts to train AI
Amazon has allegedly destroyed rare and out-of-print books to use their text for training AI models, raising ethical and legal concerns.
- Amazon allegedly destroyed rare books to extract text for AI training, according to a TechCrunch investigation.
- The practice targets out-of-print and hard-to-find books, including those with historical or academic value.
- The move raises legal and ethical concerns, particularly around copyright and the destruction of physical media.
- AI companies are increasingly relying on rare texts to improve model performance, but this approach may infringe on existing rights.
A TechCrunch investigation claims Amazon has been shredding rare and out-of-print books, repurposing their text to train large language models. The practice reportedly targets books that are not available digitally, including those with historical or academic significance. Sources familiar with the matter describe a systematic process where physical copies are destroyed after scanning, raising questions about copyright infringement and the ethical implications of using physical media without consent.
The revelation comes as AI companies increasingly seek high-quality, diverse datasets to improve model performance. Rare books often contain unique language patterns and specialized knowledge not found in widely available online corpora. Critics argue that this approach bypasses traditional publishing rights and could set a dangerous precedent for the destruction of cultural artifacts.
Highlights the ethical dilemmas of using proprietary or restricted data for AI training.
Raises reputational risks for companies involved in data sourcing practices.
Sparks debate over the preservation of cultural and literary heritage in the age of AI.
- LLM
- Large Language Model, an AI system trained on vast amounts of text data to generate human-like responses.
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