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News AI Firms Are Buying up Old Books, Then Scanning and Destroying Them ‘We don’t want it known that we’re doing this.’ by Tom Midlane 29 July 2026 CEO and Co-Founder of Anthropic Dario Amodei. Credit: Denis Balibouse/Reuters The world’s biggest AI companies are buying antiquarian books en masse so they can be scanned to train their large language models (LLMs) before being destroyed. Anthropic, the company behind Claude AI, has spent tens of millions of dollars acquiring millions of books to feed its demand for human-authored training material, the Washington Post reported earlier this year. Under the codename Project Panama, the firm used a hydraulic powered cutting machine to lop off books’ spines and then slice individual pages, which could then be scanned with industrial-grade imaging equipment before being discarded. Internal documents unsealed in legal filings in January revealed that Anthropic was acutely aware of how negatively such a project would be received outside the company. “Project Panama is our effort to destructively scan all the books in the world,” an internal planning document said. “We don’t want it to be known that we are working on this.” Earlier this month a judge approved a $1.5bn (£1.1bn) payment in a class action lawsuit brought against Anthropic by a group of authors whose pirated work had been used to train Claude. However, in the original ruling last year, a judge found that Anthropic’s use of physical books was protected as fair use under US

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Toggle sidebar Workspace Open the panel when you want navigation, conversations, or settings. FutureMe Context-aware FutureMe Future simulation chat Use FutureMe to compare decisions, habits, and long-term tradeoffs in one focused workspace. Clear chat Ask up to 2 questions per day without signing in. Log in or sign up to sync threads across devices. Avoid sharing highly sensitive personal data in chat unless necessary. Guest prompts are still sent to our AI provider to generate responses even when they are not saved to your account history. Start a simulation Ask the version of you who already lived it. Ask FutureMe about a decision, habit, or major life move. You will get a grounded scenario summary, multiple simulated paths, key risks, and practical next steps. Starter prompts What happens if I stay consistent for the next 90 days? What is the biggest risk in my current direction? What should I change this month to improve my future? Which decision right now matters most a year from now? Enter to send. Shift+Enter for newline. Send to FutureMe

나노종합기술원과 양자센싱 전문기업 오에이큐, 대전시는 31일 나노종합기술원에서 ‘양자센서 산업 육성 및 대전 양자 소재·부품·장비 거점 조성을 위한 업무협약’을 체결했다. 협약에는 박흥수 나노종합기술원장과 양승찬 대전시 미래전략산업실장, 이덕영 오에이큐 대표 등이 참석했다. 나노종합기술원과 오에이큐, 대전시가 31일 양자센서 산업 육성 협약을 체결했다. 왼쪽부터 양승찬 대전시 미래전략산업실장, 이덕영 오에이큐 대표, 박흥수 나노종합기술원장.(사진=대전시) 세 기관은 ▲양자 하드웨어용 미세전자기계시스템(MEMS) 원자증기셀 및 핵심부품 패키징 공정기술 공동개발 ▲양자 자기장 센서 성능 측정·평가 및 실증 플랫폼 구축 ▲양자센서 기반 산업·안전 분야 응용 및 사업화 ▲원자셀, 광원, 검출기 패키징 등 핵심 소재·부품·장비(소부장) 협력 기반 구축 ▲연구개발 성과의 사업화 및 대전 지역 내 신규 투자 지원 등에서 상호 협력하기로 했다. 오에이큐는 2024년 설립된 양자기술 기반 감지 기술(센싱)·플랫폼 전문기업이다. 고정밀 양자기술을 활용한 자기장 센서와 맞춤형 원자증기셀을 개발 중이다. 현재 항공우주·국방·바이오 등으로 사업을 확장 중이다. 관련기사 "중부권에 국내 최대 양자팹 구축…451억 원 투입" 2025.10.23 KISTI, 아이온큐 클라우드 서비스 이용자 모집 2026.07.21 메가존클라우드, 성균관대와 AI·양자 생태계 구축 '맞손' 2026.07.15 "불황 오면 어쩌지?"…삼성·SK, 장기계약으로 메모리 사이클 깬다 2026.07.31 나노종합기술원은 200㎜ 실리콘 공정 기반 MEMS 알칼리 원자증기셀 제작기술과 나노·반도체 공정 기반 시설(인프라)을 보유하고 있다. 원자증기셀은 자기장, 시간, 중력, 관성 등을 정밀하게 측정하는 양자센서의 핵심부품이다. 오에이큐 기술개발과 시제품 제작, 성능 고도화를 지원한다. 양승찬 대전시 미래전략산업실장은 “양자센서는 국방·우주·바이오·산업안전 등 다양한 분야의 혁신을 이끌 핵심기술”이라며 “나노종합기술원 공정 기반과 오에이큐 기술력이 실질적인 사업화 성과로 이어질 수 있도록 적극 지원할 것"이라고 말했다.

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Khan Academy CEO: The Real AI Opportunity Is in Boring Industries | Sal Khan - YouTube 정보 보도자료 저작권 문의하기 크리에이터 광고 개발자 약관 개인정보처리방침 정책 및 안전 YouTube 작동의 원리 새로운 기능 테스트하기 © 2026 Google LLC, Sundar Pichai, 1600 Amphitheatre Parkway, Mountain View CA 94043, USA, 0807-882-594 (무료), yt-support-solutions-kr@google.com, 호스팅: Google LLC, 사업자정보 , 불법촬영물 신고 크리에이터들이 유튜브 상에 게시, 태그 또는 추천한 상품들은 판매자들의 약관에 따라 판매됩니다. 유튜브는 이러한 제품들을 판매하지 않으며, 그에 대한 책임을 지지 않습니다.

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How many times have you explained the same thing? Once to ChatGPT Pro. Once to a colleague. Once more, pasted into Claude Code. Then a new session opens, and you start from zero. Your judgment never changed; only the audience did, and every audience has amnesia. The most expensive labor of this era is carrying the same paragraph from one window to another. Here is the stranger part. By now, July 2026, almost every tool remembers. Your ChatGPT knows you. Your Claude Code knows you. Every agent you work with accumulates your preferences and your hard-won decisions. But those memories barely speak to each other: locked inside each vendor’s product, stored in someone else’s house. Switch platforms, or get banned by some opaque risk system, and years of context are simply gone. When you work shoulder to shoulder with colleagues and their agents on one project, the minds involved, human and agent alike, are still so many islands. We call this condition organizational amnesia . Its symptoms are old, the same in hundred-year-old firms and AI-native startups alike: onboarding starts from zero, departures rip knowledge out by the roots, the same mistake returns every quarter, and the left hand contradicts the right without anyone noticing. Companies large and small have run with this workplace disease for a century. What magnified the cost is AI lifting execution to a new speed: execution keeps getting faster, and when the judgment behind it is stale, the faster you run, the more wrong