9 related articles

Some AI companies are mass-purchasing physical books for destructive scanning and pulping—even rare and antiquarian volumes—to obtain training data, sparking heated cultural preservation debates.

Some AI companies are buying rare antique books, using destructive scanning for training data, then destroying the originals. This raises urgent questions about AI data ethics and cultural heritage.

AI companies are using destructive scanning to shred physical books—including rare editions—for training data. This article examines the efficiency logic, cultural costs, and copyright gray areas.

GPT 5.6 brings major capability upgrades and new SOUL/TERRA/LUNA tiers — but also confusing entry points, hidden quota consumption, and a chat window crammed into a floating widget. A deep-dive review.

A self-taught maker built a two-wheel self-balancing rover from PVC pipe using ESP32 and LoRa, with a custom handheld controller. Full breakdown of hardware, PID control, and firmware.

A Rust-based AI Agent evaluation framework uses the GAIA benchmark to compare GPT, Claude, DeepSeek and other models with no tools. Results show pure LLMs cap at ~25% accuracy, revealing why tool use is decisive for Agents.

The McLaren W1, the legitimate successor to the F1 and P1, breaks 1,200 hp combined with just 1,399 kg dry weight. An in-depth test drive covering street cruising, the Mugello Circuit, aerodynamics, interior craftsmanship, and extreme performance.

A deep dive into the Midjourney scanner workflow — how AI image tools convert physical materials into high-quality training data, and what it means for data ethics and AI development.

A Dutch hotel limits AC to 23°C, cancels daily cleaning, and withholds toiletries — all in the name of sustainability. Is this genuine environmentalism or greenwashing?