2026-07-27

19 篇热帖

1. AI companies are shredding rare books (xcancel.com)

🦔AI companies are bulk-buying rare books, scanning them through high-speed machines that cut the spines off, and shredding the originals. A service called ISBNdb facilitates orders of up to a million books and keeps buyers anonymous. Pre-2022 books are premium because they're free of AI-generated text. A federal judge ruled the practice is fair use because eliminating the original means only one copy exists at a time. Anthropic hired the former head of Google Books partnerships to obtain "all the books in the world."

My Take This got to me. A bookseller told 404 Media that rare books with almost no surviving copies are being fed into this pipeline. Books that survived wars, fires, and centuries of handling are being shredded so an AI can learn to write a better marketing email. ISBNdb's website literally says "'AI company destroys two million books' is not a headline that generates sympathy," and they still built an entire business around making it happen quietly. They offer NDAs as a feature. They coach clients to call it "digital preservation."

I've covered AI companies scraping the internet, torrenting libraries, and stealing music. This is worse because it's irreversible. You can re-upload a website. You can reprint a bestseller. You can't replace the last three copies of an 18th-century botanical text once someone shreds them for training data. And the judge said it's legal. So it's going to accelerate. "We shred rare books and offer NDAs so nobody finds out" is a legitimate business model in 2026. What a timeline.

Hedgie🤗

2. Kimi-K3 Releases on HuggingFace 7/27 (huggingface.co)

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

3. How is the Bun Rewrite in Rust going? (lockwood.dev)

I think it’s important to be very Canny when someone makes a claim that supports a company’s large valuation.

5. PGSimCity - How PostgreSQL Works (nikolays.github.io)

An independent, non-commercial educational visualization of PostgreSQL internals. Not affiliated with Electronic Arts.

6. The Strongest El Niño Ever (www.theclimatebrink.com)

With all the July runs in, dynamical models give a ~90% chance of a record-setting event

7. Scriptc by Vercel: TypeScript-to-Native compiler, no JavaScript engine in binary (github.com)

TypeScript-to-Native Compiler. Contribute to vercel-labs/scriptc development by creating an account on GitHub.

9. French firefighters face 'pyrocumulonimbus' for first time (www.france24.com)

The gigantic wildfire ravaging southwest France has created an extremely dangerous "pyrocumulonimbus" -- a phenomenon never before seen in the country -- the spokesman for the country's National Firefighters…

10. Chinese chipmaker shares surge 470% (www.bbc.com)

The company's shares soared by nearly 470% in its market debut, as the AI boom drives chip demand.

11. Simulate cassette tape audio profiles using FFmpeg (github.com)

This project simulates cassette tape audio profiles using ffmpeg - AARomanov1985/Audio-Cassette-Simulation

12. US citizen charged after GrapheneOS phone wipes during airport search (www.techspot.com)

The case centers on Tunick's use of GrapheneOS, an open-source operating system that works on Google Pixel phones and lets users enter a passcode to wipe a...

13. How to write English prose (2023) (thelampmagazine.com)

To my mind, each is in its own way a perfect, exquisitely faceted gem of English prose from an especially glorious literary epoch. Browne’s prose is a…

14. Using ThinkPad T480 as a mobile phone (grego.site)

A collection of Maroš Grego's works.

15. What does GitHub's security team even do? (orchidfiles.com)

Right now, there are thousands of repositories on GitHub distributing malware. Any of you can find these repositories, and you don’t need any special knowledge to do so. All you have to do is use the standard search function on the GitHub website.

These repositories have been around for

16. Why I Left Google DeepMind (www.lesswrong.com)

I fought against Google's Pentagon AI deal from the inside. Powerful people and institutions failed to keep their AI ethics promises under pressure.