返回 2026-08-17 编辑版
发现与解读中文优先 · EN 原文行业动态

追踪稀有书籍后发现 Amazon AI 训练设施

我们在一批善本书籍中放置了一个跟踪装置,以查看哪些书籍AI公司正在购买它,并发现了亚马逊的一个设施,亚马逊可以在那里扫描和销毁书籍。

查看英文原文

We Tracked a Shipment of Rare Books. It Ended at an Amazon AI Training Facility

We placed a tracking device in a shipment of rare books to see which AI company was buying it, and found an Amazon facility where Amazon scans and destroys books.

AI 工厂的瓶颈开始落到可追踪的实物:书籍、土地、电力与机房外壳

为什么值得看

数据和算力并不是纯数字商品。训练材料的取得方式、能源容量和建设场址都可能成为成本、合规、声誉与供给稳定性的共同约束,值得在模型之外单独追踪。

最强反方

善本流向来自一篇调查报道,不能外推 Amazon 全部训练数据流程;NVIDIA 的基础设施论述来自官方文章,带有项目与行业立场。两条材料说明现实约束存在,不足以估算市场规模或普遍程度。

原始出现与传播对照

2 条出现 · AIHOT 精确重复

传播对照

我们追踪了一批珍本图书的运输过程。最终,这些书被送到了亚马逊的一处人工智能训练中心

404 Media 通过在一本珍本图书中放置追踪设备,首次揭露亚马逊未公开的购书行动:批量购入大量书籍,扫描用于 AI 训练数据,随后销毁。追踪显示这些书最终被送往亚马逊的一处人工智能训练中心。

直接发布标题Hacker News 热门(buzzing.cc 中文翻译)打开该层出处 ↗

我们追踪了一批珍本图书的运输过程。最终,这些书被送到了亚马逊的一处人工智能训练中心

直接发布摘要Hacker News 热门(buzzing.cc 中文翻译)打开该层出处 ↗

404 Media 通过在一本珍本图书中放置追踪设备,首次揭露亚马逊未公开的购书行动:批量购入大量书籍,扫描用于 AI 训练数据,随后销毁。追踪显示这些书最终被送往亚马逊的一处人工智能训练中心。

来源
AIHOT 公开 7 天全量池 · aihot-control
证据角色
control_baseline
时间状态
known
用户判决
未判
查看该来源原文raw/aihot-control.jsona5b19c2bf8dc364f113734cd43da4073bb6609deed3727c0046ad7c5010d51fb
发现与解读

我们追踪了一批善本书籍。它在亚马逊结束AI培训设施

我们在一批善本书籍中放置了一个跟踪装置,以查看哪些书籍AI公司正在购买它,并发现了亚马逊的一个设施,亚马逊可以在那里扫描和销毁书籍。

查看英文原文

We Tracked a Shipment of Rare Books. It Ended at an Amazon AI Training Facility

We placed a tracking device in a shipment of rare books to see which AI company was buying it, and found an Amazon facility where Amazon scans and destroys books.

直接发布标题Emanuel Maiberg打开该层出处 ↗

We Tracked a Shipment of Rare Books. It Ended at an Amazon AI Training Facility

直接发布摘要Emanuel Maiberg打开该层出处 ↗

We placed a tracking device in a shipment of rare books to see which AI company was buying it, and found an Amazon facility where Amazon scans and destroys books.

直接发布正文Emanuel Maiberg打开该层出处 ↗

Advertisement • Go ad free AI We Tracked a Shipment of Rare Books. It Ended at an Amazon AI Training Facility Emanuel Maiberg · Aug 17, 2026 at 9:16 AM We placed a tracking device in a shipment of rare books to see which AI company was buying it, and found an Amazon facility where Amazon scans and destroys books. The symbol for Amazon's VGT3, the Las Vegas facility where it scans book for AI training data. Amazon is buying massive quantities of books, scanning them for AI training data, and destroying them in the process. A 404 Media investigation was able to reveal Amazon’s book buying operation, which hasn’t been previously reported, by placing a tracking device in a rare book we suspected would be acquired by an AI company for training data, and following it around the country to its final destination. 📖Do you know work at a facility where you scan books? I would love to hear from you. Using a non-work device, you can message me securely on Signal at @emanuel.404. Otherwise, send me an email at emanuel@404media.co.That final destination was an Amazon warehouse in Las Vegas, Nevada. Amazon employees who work at this location say all they do is receive massive shipments of printed books which they then cut the bindings off in order to scan the books more quickly. The printed book is destroyed in the process. The logo of the Amazon team that works at this warehouse, called VGT3, is a dinosaur, brandishing its teeth and with a book in its hands. This post is for paid members only Become a paid member for unlimited ad-free access to articles, bonus podcast content, and more. Subscribe Sign up for free access to this post Free members get access to posts like this one along with an email round-up of our week's stories. Subscribe Already have an account? Sign in

回溯原始标题打开该层出处 ↗

We Tracked a Shipment of Rare Books. It Ended at an Amazon AI Training Facility

回溯原始摘要打开该层出处 ↗

We placed a tracking device in a shipment of rare books to see which AI company was buying it, and found an Amazon facility where Amazon scans and destroys books.

来源
AIHOT 回溯原始页 · aihot-original
证据角色
independent_original_retrieval
时间状态
known
用户判决
未判
查看该来源原文raw/aihot-original-f7aebf63d6dedce650cf.html8932e4ab47503958551649bbcaff3eb7c68604d484a8d5b1ea3db16b07ba2708
Cluster IDevt_722a892d866d8d19bb34149a精确去重依据resolved_original_url事件状态未判