
For the past year or so, booksellers have suspected that AI firms are buying up huge lots of rare books, then destroying them after scanning them to train AI. But this was hard to prove until now, as 404 Media reports that an Airtag hidden in a rare book shows that at least one tech giant, in the race to advance its frontier models, is behind some of the bulk orders: Amazon. On Monday, 404 Media revealed that it had connected with a bookseller who agreed to plant an Airtag in a rare book that wa
Will any U.S. lawmaker formally investigate Amazon's rare book scanning by October 1, 2026?
Resolves by Oct 1, 2026
An investigator planted a hidden tracking device in a rare book purchased as part of a bulk order and traced it to a tech company's warehouse facility, confirming that the company was systematically destroying rare books after scanning them to train artificial intelligence models. The practice matters because it raises ethical concerns about the permanent loss of works that may have historical, intellectual, or sentimental value beyond their monetary worth, especially since booksellers and critics worry that unique texts will disappear while AI companies keep their training data secret. The tech company's statement indicated it purchases books to improve products and services but did not specifically address the destructive scanning practice, while some observers argue the books are obscure works that would otherwise sit unused, and others contend that even lesser-known texts warrant preservation. Competitors in the AI industry have publicly stated they are not training on rare or antique books, and booksellers suspect that AI firms are methodically targeting books by their identification numbers to maximize the volume of unique texts in their training datasets.

It’s not every day that attackers can force a frontier AI model to cough up user passwords and other sensitive data without user confirmation. That’s exactly what researchers recently did to Microsoft 365 Copilot Enterprise. Even more unusual is the source they tapped to discover the critical vulnerability that made their exploit possible. Rather than employing reverse engineering or other traditional vulnerability-hunting methods, they asked Copilot. The LLM assistant readily complied. Research

Anthropic has clarified how it's planning to apply invisible watermarks to Claude-generated text in order to comply with Europe's AI transparency rules. On Friday, Anthropic announced that Claude's text marking system is "a version of the SynthID-Text approach" - an open-source watermarking technology developed by Google DeepMind that creates detectable patterns using wording probabilities. This watermarking feature, alongside C2PA support for Claude-processed images, is being

OpenAI funds 14 independent projects exploring new AI policy ideas to expand economic opportunity and strengthen societal resilience in the Intelligence Age.
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