AI is changing the world. Don't stay behind. Clear summaries, community insight, delivered without the noise. Subscribe to never miss a beat.

It is a sign of the times that Amazon gets to call this fair use

observationalepidemiology.blogspot.com

August 21, 2026

2 min read

🔥🔥🔥🔥🔥

51/100

Summary

Amazon has reportedly bought large quantities of printed books, including rare and foreign-language titles, for scanning into AI training data. A 404 Media investigation tracked a rare book with a tracking device to Amazon’s VGT3 warehouse in Las Vegas, Nevada. Employees at the site reportedly said shipments of books are received there, their bindings are cut off to speed scanning, and the physical copies are destroyed. A bookseller involved in the tracked shipment said rare books can carry historical, intellectual, sentimental, and monetary value beyond their text. The Internet Archive, founded by Brewster Kahle in 1996, digitizes books while retaining their physical bindings. Its scanning centers use operators known as scribe operators to capture books one page at a time. The organization says it does not destroy books by cutting off their bindings and instead adapts machines and software for nondestructive digitization. The Internet Archive contrasts its process with Google Books, launched in 2004, which it says used industrial-scale destructive scanning to increase processing speed.

Key Takeaways

A 404 Media investigation reportedly traced a rare book to Amazon’s VGT3 warehouse in Las Vegas, where employees said books are debound, scanned, and destroyed.
Amazon’s reported book-buying operation includes rare books and titles in languages spoken by relatively few people.
The Internet Archive says it digitizes books page by page without cutting their bindings or destroying the physical volumes.
Brewster Kahle founded the Internet Archive in 1996 with a mission of providing universal access to knowledge.

What the discussion said

Commenters spent less time on the headline’s legal framing than on the ugly incentive it exposes: physical-book ownership can let an AI company digitize and destroy copies while digital lending faces far tighter restrictions. Several readers see that as copyright law producing a perverse result. If a firm can lawfully buy and discard a book, scan it for model training, and retain the digital text, then preservation-minded libraries and archives are punished for trying to provide people access to the same material. Opinion split sharply over whether the destruction is actually meaningful. Defenders argued that most of these are low-demand, non-collectible volumes already headed for disposal, and that preserved scans are a better outcome than warehouse decay. They also treated learning from text as analogous to a person reading a book and forming useful ideas, making AI training a plausible fair use. Critics answered that digitization does not erase the loss of physical cultural artifacts or justify concentrating a corpus in Amazon’s hands. They distrust the claim that training is merely passive learning, pointing to models’ potential to emit protected passages and to commercialize knowledge without author permission. A deeper anxiety ran through the thread: proprietary AI systems could turn broadly available books into privately controlled training assets and mediated answers.

Where opinion split

The core dispute is whether destructive scanning for AI training is an ordinary, defensible use of purchased books or a harmful extraction of cultural material. One side says low-value copies are routinely culled anyway, scans preserve their informational value, and machine learning from text resembles human reading. The other says commercial models can reproduce and monetize copyrighted work while the originals disappear, handing a concentrated AI vendor more control over knowledge rather than expanding public access.

Read original article

Community Sentiment

Negative

Positives

Digitizing overlooked, low-demand books for model training may preserve their informational content when physical copies would otherwise be discarded by sellers and space-constrained libraries.
Several commenters regard AI learning from purchased text as the machine-scale counterpart of human reading and synthesis, not a forbidden act of copying ideas.
The episode spotlights a fixable policy failure: extending first-sale-style rights to digital materials could let archives preserve and lend knowledge without forcing destructive physical workflows.

Concerns

Destroying print copies to feed proprietary AI pipelines feels like cultural loss disguised as efficiency, especially when a future reader may need the only surviving edition.
AI training’s commercial payoff makes the fair-use analogy shaky for critics: a model can convert authors’ text into paid services and sometimes surface protected passages.
The legal asymmetry lets a giant company retain digitized knowledge for private models while public-facing digital libraries are litigated into retreat.
Readers fear that assembling vast book corpora behind corporate AI systems concentrates access to knowledge and makes future information increasingly filtered through platform-controlled answers.
AI-generated material is seen by some as worsening cultural sameness, so sacrificing books to enlarge training datasets looks especially bleak rather than creatively regenerative.