AIHOT 于 2026-08-17 收录了“AirTag 追踪揭示亚马逊为训练 AI 批量购入并销毁珍稀书籍”这一公开动态。以下先呈现从来源页面抓取的正文，再给出 AIHOT 摘要与 TopoReduce 编辑解读。
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AirTag reveals how Amazon destroys rare books for AI training
AirTag reveals how Amazon destroys rare books for AI training
Maximilian Schreiner
View the LinkedIn Profile of Maximilian Schreiner
Aug 17, 2026
Amazon buys printed books in bulk, scans them for AI training data, and destroys them in the process. That's what an investigation by 404 Media found after placing an AirTag inside a shipment of rare books and tracking it across the country.
The shipment ended up at an Amazon warehouse in Las Vegas, home to a team called VGT3 whose logo features a Tyrannosaurus rex holding a book. Workers there say they cut off book spines to speed up scanning, destroying the copies in the process. Amazon uses the scanned data to train its Nova models. A spokesperson said the company buys books through commercial channels to improve its products.
Booksellers suspect that AI companies are trying to systematically scan every book by ISBN number. Printed texts are especially valuable because they often don't exist online and predate 2022, meaning they're free of AI-generated content.Ad
Amazon isn't alone here. Anthropic ran a similar operation. A lawsuit by book authors revealed its "Project Panama," where Anthropic bought books on marketplaces, cut off their spines, and digitized them. The judge in that case ruled the scanning qualified as fair use and didn't violate copyright, partly because the printed originals were destroyed and therefore not copied and resold.Ad
Both companies are turning sometimes rare books into private training material. The practice is controversial because they destroy originals that may be irreplaceable, pulling knowledge off public shelves and locking it inside the closed AI models of a single corporation.
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Source: 404 Media
Maximilian Schreiner
View the LinkedIn Profile of Maximilian Schreiner
Aug 17, 2026
Amazon buys printed books in bulk, scans them for AI training data, and destroys them in the process. That's what an investigation by 404 Media found after placing an AirTag inside a shipment of rare books and tracking it across the country.
The shipment ended up at an Amazon warehouse in Las Vegas, home to a team called VGT3 whose logo features a Tyrannosaurus rex holding a book. Workers there say they cut off book spines to speed up scanning, destroying the copies in the process. Amazon uses the scanned data to train its Nova models. A spokesperson said the company buys books through commercial channels to improve its products.
Booksellers suspect that AI companies are trying to systematically scan every book by ISBN number. Printed texts are especially valuable because they often don't exist online and predate 2022, meaning they're free of AI-generated content.Ad
Amazon isn't alone here. Anthropic ran a similar operation. A lawsuit by book authors revealed its "Project Panama," where Anthropic bought books on marketplaces, cut off their spines, and digitized them. The judge in that case ruled the scanning qualified as fair use and didn't violate copyright, partly because the printed originals were destroyed and therefore not copied and resold.Ad
Both companies are turning sometimes rare books into private training material. The practice is controversial because they destroy originals that may be irreplaceable, pulling knowledge off public shelves and locking it inside the closed AI models of a single corporation.
Ad
AI News Without the Hype – Curated by Humans
Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section.
Subscribe now
Source: 404 Media
AIHOT 摘要
404 Media 通过将 AirTag 放入一批珍稀书籍包裹并追踪，发现亚马逊批量购入纸质书、扫描用于 AI 训练后将其销毁。包裹最终抵达拉斯维加斯仓库的 VGT3 团队，工人会切掉书脊以加快扫描，数据用于训练 Nova 模型。Anthropic 的“Project Panama”项目也采用类似做法，法院裁定该扫描属合理使用，未构成版权侵权。
为什么值得关注
纸质书常未数字化且早于 2022 年，不含 AI 生成内容，是厂商竞相获取的训练数据；本案合理使用认定与原件被销毁相关，可能影响后续版权诉讼边界。
工程化解读
从 TopoReduce 的工程视角看，这条信息属于“模型与训练”主题。它的价值不只在于一个新产品或新观点本身，还在于说明 AI 系统正在如何影响模型接入、智能体协作、研发流程、基础设施和团队决策。实际采用前，应结合原文确认版本、适用范围、价格和运行条件。
- 发布时间：2026-08-17；AIHOT 分类：模型与训练。
- AIHOT 标签：
- AIHOT 判断：纸质书常未数字化且早于 2022 年，不含 AI 生成内容，是厂商竞相获取的训练数据；本案合理使用认定与原件被销毁相关，可能影响后续版权诉讼边界。
- AIHOT 评分：48；评分用于站内排序，不等同于独立评测结论。
TopoReduce 编辑观察
当 AI 动态进入真实生产环境，团队需要同时关注能力边界、数据来源、调用成本、权限控制和可回滚性。把单条新闻放回完整工程链路中阅读，比只看标题更有助于判断它是否适合自己的产品和工作流。