Amazon Slices Rare Books for AI After Secret AirTag Tracking Exposes Warehouse
When scraping the entire internet is no longer enough, tech giants switch to pure Ray Bradbury vibes. Rare vintage books are quietly fed into industrial scanners just so neural networks can learn slightly better phrasing.
An undercover investigation by 404 Media revealed a bizarre data-harvesting pipeline after placing a hidden Apple AirTag inside an out-of-print title sold in bulk. The tracking beacon traveled straight to an enigmatic Amazon facility codenamed VGT3, an operation cheekily symbolized among staff by an emblem of a Tyrannosaurus rex clutching a paper volume.
Inside the facility, workers mechanically slice the spines off physical books to feed pages through high-speed scanners, digitizing rare literature before discarding the remains. Amazon responded by framing the operation through classic corporate PR, stating that books are acquired via standard commercial channels to improve customer services and products.
Because modern language models have already scraped almost every scrap of public internet text, physical out-of-print literature has become the ultimate untamed frontier for high-quality language data. While competitors like xAI publicly deny devouring vintage paper, Anthropic previously faced similar revelations after unbinding and scanning millions of physical books to feed Claude.
Warehouse discussions among facility staff even pointed to a bizarre supply drought earlier this year where the building ran out of fresh reading material, forcing management to extensively train operators on ISBN verification to ensure maximum linguistic diversity.
Humanity spent centuries carefully storing physical culture in quiet archives, only for trillion-dollar tech giants to chop it up into training tokens. The scramble for computational supremacy has reached the point where the physical past is literally shredded to generate the next iteration of synthetic text.
Source: 404 Media
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