Amazon buys rare books to train AI models

Amazon has been buying rare books, scanning them, and destroying the physical copies to train AI models. An investigation found that workers at an Amazon warehouse in Las Vegas remove the bindings and scan the pages of the books. Amazon confirmed the practice, stating that they purchase books through commercial channels to improve their products and services.

Meanwhile, in the AI sector, OpenAI and Anthropic are leading in large language model development, according to prediction markets. Reach Capital closed its fifth venture fund with $265 million in commitments to back AI startups across learning, health, and work.

Local school districts are expanding their use of artificial intelligence in classrooms, focusing on responsible AI use and literacy. Additionally, some school districts are incorporating AI-powered surveillance and alert technology to enhance security.

Other developments include Wayfair's Q2 US growth hitting a post-pandemic high, attributed to AI implementation and luxury brand Perigold. OpenAI is launching an initiative to help democratic oversight bodies develop expertise and tools to understand and oversee government use of AI for national security.

Key Takeaways

• Amazon buys rare books, scans them, and destroys the physical copies to train AI models.
• OpenAI and Anthropic are leading in large language model development, according to prediction markets.
• Reach Capital closed its fifth venture fund with $265 million in commitments to back AI startups.
• Local school districts are expanding AI use in classrooms, focusing on responsible AI use and literacy.
• Detroit schools use AI-powered surveillance and alert technology to enhance security.
• Wayfair's Q2 US growth hits post-pandemic high, attributed to AI implementation.
• OpenAI launches initiative to help democratic oversight bodies develop expertise and tools to understand and oversee government use of AI for national security.
• Researchers propose a framework for automatic curriculum learning that generates training tasks directly from unstructured terrain maps.
• A chief strategist recommends three AI power stocks as data centers are expected to use 25% of US electricity by 2030.

Amazon destroys rare books to train AI models

Amazon buys rare books, cuts off their spines, and scans them to train AI models. The books are destroyed in the process. This practice has raised concerns about cultural preservation and copyright law. Amazon stated that they purchase books through commercial channels to improve their products and services. The company's AI training facility is located in Las Vegas, Nevada. Workers at the facility, known as VGT3, reportedly spend their time scanning books and removing their bindings.

Amazon caught destroying rare books for AI training

An investigation found that Amazon buys rare books, scans them, and destroys the physical copies to train AI models. The books are sent to an Amazon warehouse in Las Vegas, where workers remove the bindings and scan the pages. Amazon confirmed the practice, stating that they purchase books through commercial channels to improve their products and services.

Amazon buys rare books, destroys them for AI training

Amazon is buying rare books, cutting off their spines, and scanning them to train AI models. The books are destroyed in the process. An investigation tracked a shipment of rare books to an Amazon warehouse in Las Vegas, where workers scanned the books and removed their bindings. Amazon stated that they purchase books through commercial channels to improve their products and services.

AirTag leads to Amazon facility where rare books are destroyed for AI training

An AirTag hidden in a rare book was tracked to an Amazon AI training facility in Las Vegas. Workers at the facility, known as VGT3, reportedly dismantle books, remove their spines, and scan the pages for AI training. Amazon declined to comment on the findings, but stated that they purchase books through commercial channels to improve their products and services.

Amazon scanning, destroying books for AI training

An investigation found that Amazon buys rare books, scans them, and destroys the physical copies to train AI models. Workers at an Amazon warehouse in Las Vegas reportedly remove the bindings and scan the pages of the books. Amazon confirmed the practice, stating that they purchase books through commercial channels to improve their products and services.

Secret tracking device reveals Amazon's book destruction for AI training

A tracking device hidden in a rare book led to an Amazon processing facility where workers cut off the spines of books and scanned them for AI training. The facility, known as VGT3, is part of a larger facility in Las Vegas. Amazon employees reportedly spend their time cutting off the spines of books and feeding them into a scanner.

Amazon destroys rare books for AI training despite denial

An investigation found that Amazon had previously denied destroying rare books for AI training, but a tracking device confirmed the practice. The device was hidden in a rare book and tracked to an Amazon facility in Las Vegas, where workers cut off the spines of books and scanned them for AI training.

Rare books scanned and destroyed by Amazon for AI training

An investigation tracked a shipment of rare books to an Amazon facility in Las Vegas, where workers cut off the spines and scanned the pages for AI training. Amazon confirmed the practice, stating that they purchase books through commercial channels to improve their products and services.

Local school districts expand AI use in classrooms

Local school districts are expanding their use of artificial intelligence in classrooms, focusing on responsible AI use and literacy. Districts are establishing AI steering committees, reviewing emerging tools, and developing guidance for classroom use. Students and staff are gaining access to approved AI features within certain tools.

Detroit schools use AI to boost security

Metro Detroit school districts are incorporating AI-powered surveillance and alert technology to enhance security. The AI system identifies individuals who shouldn't be on campus and dispatches alerts when someone approaches buildings without permission. The technology aims to improve safety and response times.

Prediction markets bet on AI IPOs and Mars missions

Prediction markets are speculating on AI-related events, including IPOs and Mars missions. Markets indicate a strong conviction that OpenAI and Anthropic are leading in large language model development. The markets also reflect bets on geopolitical and climate futures.

Trajectory-Level Automatic Curriculum Learning for Legged Locomotion

Researchers propose a framework for automatic curriculum learning that generates training tasks directly from unstructured terrain maps. The framework improves trajectory success rates by 56.3% over direct training without curriculum.

3 AI-power stocks to buy as energy bottleneck continues

A chief strategist recommends three AI power stocks as data centers are expected to use 25% of US electricity by 2030. The strategist suggests that AI investment and infrastructure will continue to grow.

Financing AI infrastructure

Bob Gelfond discusses financing AI infrastructure and the creation of compute-backed digital currency.

Wayfair's Q2 US growth hits post-pandemic high

Wayfair achieved its highest US growth since the pandemic in Q2 2026, attributing success to AI implementation and luxury brand Perigold. The company's AI-powered capabilities and e-commerce tailwinds contributed to strong performance.

Strengthening Democratic Oversight in National Security

OpenAI is launching an initiative to help democratic oversight bodies develop expertise and tools to understand and oversee government use of AI for national security. The initiative aims to strengthen oversight and ensure accountability.

Reach Capital Closes $265M Fifth Fund

Reach Capital closed its fifth venture fund with $265 million in commitments to back AI startups across learning, health, and work. The fund will invest in early-stage founders developing AI technology.

Verifiable Multi-Agent Interaction over A2A/MCP

Researchers introduce a framework for verifiable multi-agent interaction over A2A/MCP, encoding classical negotiation mechanisms and providing a lightweight runtime verification and repair layer.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

Amazon AI Artificial Intelligence Rare Books Book Destruction AI Training Cultural Preservation Copyright Law Las Vegas VGT3 AI Models AI Facility AI Training Facility AI Technology AI Use Responsible AI AI Literacy AI Steering Committees AI Surveillance AI Alert Technology AI-Powered Security AI IPOs AI Missions OpenAI Anthropic Large Language Model Development Automatic Curriculum Learning Legged Locomotion AI Infrastructure Compute-Backed Digital Currency AI Implementation E-commerce Luxury Brand Perigold Democratic Oversight National Security AI Oversight AI Accountability AI Startups Learning Health Work AI Frameworks Verifiable Multi-Agent Interaction A2A/MCP Classical Negotiation Mechanisms Lightweight Runtime Verification AI Research AI Development

Comments

Loading...