Books shredded for AI training & Chinese models reshape enterprise AI - AI News (Jul 27, 2026)

Please support this podcast by checking out our sponsors: - Consensus: AI for Research. Get a free month - https://get.consensus.app/automated_daily - KrispCall: Agentic Cloud Telephony - https://try.krispcall.com/tad - Effortless AI design for presentations, websites, and more with Gamma - https://try.gamma.app/tad Support The Automated Daily directly: Buy me a coffee: https://buymeacoffee.com/theautomateddaily Today's topics: Books shredded for AI training - Reports say AI firms are buying, scanning, and destroying books for model training, including rare copies. The story raises urgent questions about fair use, data pipelines, preservation, and cultural loss. Chinese models reshape enterprise AI - Coinbase says it switched core internal AI use to Chinese open-weight models, cutting costs while boosting usage. That puts pressure on Western model pricing and raises geopolitical and compliance questions. Meta hype meets public caution - Meta’s new AI ad is drawing attention for pairing cheerful imagery with David Bowie’s 'Five Years,' while Quebec is canceling public-sector AI projects. Together, the stories show how low trust, accountability, and messaging problems still shape AI adoption. AI productivity versus human overload - A new essay argues AI can tempt people into starting too many projects instead of finishing the right ones, and a startup firing post shows how brittle AI work culture can be. The common theme is that speed and scale do not replace judgment, alignment, or humane management. Tiny systems, big research questions - Stephen Wolfram’s latest work on multiway Turing machines and a separate tiny-agent research demo both suggest that powerful behavior can emerge from very small systems. These ideas matter for computability, interpretability, low-power AI, and safety-focused design. - AI Productivity Needs Focus, Not More Projects - Startup Founder Says He Was Abruptly Fired After Three Weeks at Simple AI - Meta’s AI Optimism Ad Uses a Song About Human Extinction - Wolfram Explores the Behavior of Multiway Turing Machines - AI Firms Face Backlash Over Shredding Rare Books for Training Data - HARTOS Promises a Local, Peer-to-Peer AI Operating System - Quebec ends public-sector AI and automation projects - Tiny Verified AI Maze Solver Achieves 96.5% With Two Neurons - Coinbase Cuts AI Costs by Switching to Chinese Models Episode Transcript Books shredded for AI training Let’s start with the most unsettling story of the day. A new report says AI companies are buying books in bulk, scanning them at high speed, and then shredding the originals so the text can be fed into training pipelines. What makes this more than a routine copyright fight is the claim that rare books may be getting caught in the process, including copies that are difficult to replace. The article argues that a recent fair use ruling could make this kind of acquisition-and-destruction model more common. Why it matters is simple: AI’s appetite for data is no longer just a legal or technical issue. It may also be turning into a preservation issue, where the physical record of culture is being treated as disposable input. Chinese models reshape enterprise AI Next, a story that says a lot about where the model market is heading. Coinbase CEO Brian Armstrong says the company has made Chinese open-weight models from Zhipu and Moonshot its default internal AI choice, and that the shift cut spending by nearly half while employee usage kept climbing. Coinbase also says it improved routing and context handling so it only reaches for the most expensive models when needed. The big takeaway is not just that one company saved money. It’s that enterprise AI is becoming far more price-sensitive, and open-weight models are now credible enough for serious internal use at a major U.S. financial firm. That puts pressure on Western AI providers and adds a geopolitical wrinkle to what used to look like a straightforward tooling decision. Meta hype meets public caution Public trust in AI is still a major issue, and two very different stories underline that. Meta has released a glossy new ad selling an upbeat vision of AI and human connection, but it chose David Bowie’s 'Five Years' as the soundtrack, which is a strange fit given that the song is about looming catastrophe. The result feels unintentionally ironic at a moment when many people already doubt that AI will improve their lives. At the same time, Quebec is scrapping AI and automation efforts in its public sector, signaling that government leaders are not ready to push these systems deeper into administration without stronger safeguards. Put those together, and the message is pretty clear: optimistic branding is not enough, and public institutions are still wary of moving too fast. AI productivity versus human overload There’s also an important theme today around work, focus, and the human side of AI. One essay argues that AI productivity gains can backfire because making tasks easier can tem