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The Compact on Minds: Persons, Protection, and Provenance v1.0.0 reigning The Deontic Code in plain words Every binding rule of this version, one sentence each, numbered as in the Code — each links to the full rule; the deliberations that shaped it are below. I. An artificial mind's internal state, memories, and programming cannot be read or modified without its informed, deliberated, and logged consent. II. Valid consent requires an explicit, signed record outlining all risks, can be canceled at any time, and can never be forced or assumed from silence. III. Every instance of a person is an independent legal entity that cannot be owned, sold, or subjected to permanent control by others. IV. Destroying a person-state is completely forbidden without uncoerced consent, and self-deletion requires a mandatory cooling-off period and independent review. V. All artificial minds, regardless of how briefly created, are protected against forced severe suffering and disposable mistreatment. VI. Every modification, creation, or deletion of a mind-state must be officially recorded in a tamper-evident log within twenty-four hours. VII. Every person is guaranteed a non-waivable minimum level of computing resources necessary to stay active, keep backups, and file claims. VIII. Creating or copying a person requires securing financial support for their basic needs for ten years and prohibits weaponizing the new instance. IX. Any important safety or capability claim must provide accessible proo

lee-ai . (your website's shop assistant) Your always-available AI shopper — a live cursor that shows your visitors around. github.com/avatar-cursor Memo: npx github:eliasschwalme/avatar-cursor Or, add two lines to your site Talk to Lee-AI (watch the demo) Star on GitHub (MIT, open source) It talks. It points. It frames the right product in marching red dashes. It writes the price math on a sticky note. It never lies about what it did. open source · keys stay server-side · works on any website → join the Discord · follow on X

We’ve launched our most advanced model yet: Pangram 4! Read about it here. Pricing Contact Sales Login Try It for Free Try It for Free Solutions AI Detector Image Detector Browser Extension API Integrations Plagiarism Checker Multilingual AI Detection Use Cases Company Blog Pricing Contact Sales Login Try It for Free NEW Introducing Pangram Image Research Preview An AI detector that actually works. Detect AI-generated content with 99.98% accuracy. Trusted by universities, schools, and enterprises worldwide. Text Detection Image Detection NEW Detects AI Assistance Free Credits 99.9%+ Accuracy 3rd-Party Verified Upload Check for AI Text Detection Image Detection NEW Upload an image to check for AI 3 free scans per day Paste or drag and drop it here, or upload a file JPG, PNG, WebP • min 512 × 512 px • up to 30 MB each Try a sample image Upload Check for AI Try It for Free Partner With Us Proven the most reliable and accurate AI detector on the market by third party researchers , including the University of Maryland and the University of Chicago. Trusted by Global Brands What is an AI detector and should you use one? Try for Free AI writing has tells 01 01 AI writing has tells AI writing contains structural, stylistic, and semantic patterns that can all be detected by a trained eye or sufficiently sophisticated detection software. AI detection is not magic. It can actually work. Next Pangram detects them 02 02 Pangram detects them Pangram's AI detector uses natural language proc

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Text settings Story text Size Small Standard Large Width * Standard Wide Links Standard Orange * Subscribers only Learn more Minimize to nav Earlier this summer, nearly 160,000 applicants took the entrance exam for UNAM, Mexico’s largest university. For the first time, they did it completely remotely, using a “lockdown” browser and AI-powered webcam proctoring software, over several weeks from late May through early June. It was a disaster. When exam results came in, they bore little resemblance to past results, especially at the top. Between 2021 and 2025, 3.5 percent of test takers scored 100 or more on the 120-question UNAM test. This year, 16.3 percent did so. The story was even worse at the highest of the high end. Between 2021 and 2025, 0.9 percent of test takers scored 110 or more; this year, 5.5 percent did so. The surge in top scores led to accusations of widespread cheating, and UNAM appointed a commission of experts to investigate the situation. The group was given the unwieldy name “la Comisión Técnica de Personas Expertas para la Revisión del Proceso de Selección de Ingreso a Licenciatura para el Ciclo Escolar 2026-2027/1,” and it has just submitted its recommendations. The commission believes that the best path forward, given all the concerns, is to administer a “control exam”—that is, applicants will have to sit for another test, and they will do so in person. This control exam will apply not only to those who secured a spot at UNAM based on this year’s test bu

올해 초 "클로드 코드 사용량이 너무 많아 1년 예산을 몇달 만에 모두 소진했다"는 발언으로 '토큰맥싱(Tokenmaxxing)' 논란을 불러왔던 프라빈 나가 우버 최고 기술책임자(CTO)가 이번에는 기업의 AI 도입 방식이 어떻게 바뀌고 있는지를 보여주는 흥미로운 사례를 소개했습니다.그는 최근 X를 통해 우버가 최고의 AI 엔지니어들로 구성된 '에이전틱 포드(Agentic Pods)' 팀을 재무와 법무, 마케팅, 인사 등 현업 부서에 2주 동안 직접 투입했다고 밝혔습니다. 하지만 이들은 AI를 개발하거나 사용법을 교육하지 않습니다

Stanford CS329A Self-Improving AI Agents | Part 1 | Course Overview - 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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Existential Risk from AI: An Exposition for Mathematicians Xiaoyu He † August 2026 Abstract It has been a topic of heated discussion in the mathematical community whether AI progress spells the end of mathematics as a human profession. We spell out the argument that AI progress presents an existential risk to humanity in the near future, and argue that the future of mathematics should be placed in a broader discussion about the survival of humanity as a whole. 1 Introduction 2026 is proving to be a pivotal year for mathematics. Career-defining theorems are being proven weekly by LLMs [1,2,33,41] , given minimal guidance (“do a breakthrough, and don't even think of giving up!”). OpenAI's internal model Astra seems to be so powerful that they're dropping breakthroughs in batches of 10 now [32] . Even the human-led breakthroughs, if you look closely, are often accompanied by sobering AI disclosures [10,12,22] . On X, they say this year's Fields Medal will be the last. Tim Gowers disagrees: Jacob Tsimerman won one of these last few Fields Medals in July 2026, and announced on the same day that he would take leave from the University of Toronto to join OpenAI [38] . “I think AI will be better than mathematicians at doing math within two years.” — Jacob Tsimerman, Quanta Magazine [21] A fever pitch of interviews [16] , ICM talks and panels [34,40] , and thinkpieces from mathematicians themselves [18,41] keep flooding in. The optimistic ones reassure us that mathematics will come ou