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Lisen is a free Chrome extension that reads articles aloud using Cartesia's AI voices, requiring no additional subscription for users with a Cartesia plan.
The author argues that due to rapid AI development, important knowledge should be preserved in physical books at home and in communities, and suggests governments should promote this practice.
Google's AI note-taking app Gemini Notebook now includes an 'Expert Intelligence' feature that allows users to interact with purchased books from Google Play Books, enabling questions, plans, and content generation based on book contents.
A blog post recommending several classic Computer Science books, highlighting their value for programmers and learners through detailed descriptions.
A Wellington second-hand bookstore discovered bulk orders from a Canadian buyer suspected to be for AI training, leading to concerns about book destruction and copyright issues.
Anthropic is reportedly scanning and destroying rare books as part of a court-approved remedy for illegally using them to train its AI model, raising concerns about cultural loss similar to the burning of the Library of Alexandria.
Game Engine Black Books has been updated with a revised edition, high-quality print edition, and PDF version, and the LaTeX source code has been released. With forewords by John Carmack and John Romero.
A curated stack of 20 books across 5 categories for learning AI/ML from fundamentals to production systems.
Martin Casado asks for book recommendations about how the math and physics communities reacted to early computers solving integrals previously thought impossible to solve analytically, noting this reception is a missing piece of tech history knowledge.
A Dutch bookseller received a bulk order for 3,000 books that turned out to be linked to AI companies scanning and destroying physical books to train language models, with Anthropic's 'Project Panama' highlighted as a key example.
A curated list of the best cybersecurity books for 2026, covering topics from web application security and exploitation to pentesting and certification.
A historical researcher criticizes the practice of destroying antique books by cutting their spines for AI model training data, arguing it causes irreversible loss of valuable historical information and data that cannot be recovered.
A Statista chart estimates that approximately a quarter of the training data for Meta's Llama AI model came from books, highlighting the composition of sources used in large language model development.
Announcing tale.fyi, a platform that lets users read or listen to an entire book from a single link.
AI companies are reportedly bulk-buying rare books, scanning them by cutting spines and shredding originals, facilitated by a service called ISBNdb, raising ethical concerns.
The author argues that AI, particularly from Facebook and Google's algorithms, has worsened US political polarization and expects this trend to continue for the next 15 years, citing several books on AI risks.
A 1997 tutorial explaining how to use sed and sort to create formatted indexes for books from raw term-page number lists.
A personal essay reflecting on the value of curated, high-quality non-fiction books as a counterpoint to low-quality AI-generated content, lamenting the decline of traditional library browsing and the rise of AI slop.
ReadKinetic is a free, local-first speed reader that works with your own books.
AI companies are buying pre-2022 printed books to avoid AI-generated text in training data, as old books are guaranteed free of AI slop and poisoning. ISBNdb offers bulk book acquisition services to AI labs under NDAs.