The article discusses Anthropic's pursuit of high-quality text for training AI language models, specifically their initial decision to digitize and utilize pirated books to avoid complex licensing negotiations with publishers. It highlights the importance of training data quality in producing coherent and accurate AI models. Furthermore, it touches upon the first-sale doctrine's role as a legal workaround for AI companies to acquire physical books legally, but notes Anthropic's shift towards safer legal practices by 2024 as concerns over piracy rose.
The AI industry's quest for high-quality training data has led companies like Anthropic to explore controversial practices in acquiring books for their models.
AI models depend heavily on the quality of training data, which profoundly affects their coherence and accuracy, as seen in various industry practices.
Anthropic’s early approach involved digitizing pirated books, bypassing licensing complexities, but the company later reconsidered, focusing on safer legal avenues.
The first-sale doctrine provided a legal loophole for AI companies to acquire physical books, turning them into training data without negotiation.
Collection
[
|
...
]