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    New video warns AI has crossed a dangerous line●AI Just Crossed the Terrifying Line - Now What?▶youtubeTechnologyAI17.4M9 min ago

    Kurzgesagt, the popular science animation channel, has released a video arguing that artificial intelligence has just crossed a line it calls terrifying, and asking what comes next. The piece examines the implications of advanced AI systems and the choices facing humanity, drawing a large audience concerned about how quickly AI capabilities are advancing.

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    OpenAI Withdraws Three Mathematics Papers●OpenAI Withdraws 3 Math PapersYhnTechnologyAI3429 min ago

    OpenAI has withdrawn three of its mathematics research papers, according to the history file in the company's public math repository on GitHub. The move is drawing attention among AI and research communities, with readers debating what prompted the retraction and what it signals about the quality and reliability of the company's published math research.

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    A free online textbook on AI Measurement Science from Stanford's AIMS Lab is drawing attention. The book focuses on how to rigorously measure and evaluate AI systems, a topic of growing concern as models are deployed widely. Commenters are sharing and discussing the resource, with many welcoming a more scientific approach to assessing AI performance.

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    Medicine leads Israel's degree demand as computer science slips▼Israel's hottest degrees: medicine leads demand as AI expands, computer science declines✉newsSciencejust now

    Medicine has become the most sought-after field of study in Israel, while demand for computer science degrees is declining even as artificial intelligence expands across the economy. The shift highlights how prospective students are weighing stable, high-status professional paths against a tech sector that has seen hiring cool after years of explosive growth, according to an Israeli news report.

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    Trump Urges AI to Accelerate Science While Cutting Research Funds●Trump Calls on AI to Speed Up Science–While Continuing to Defund ItYhnScience8just now

    President Trump has called on artificial intelligence to speed up scientific discovery, even as his administration continues to cut federal research funding. Critics point to the contradiction of promoting AI as a tool for breakthroughs while defunding the basic science and institutions that produce it. Observers are debating whether AI can realistically compensate for weakened public investment in research.

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    Alan Ayckbourn's new play puts a robot on trial for murder●This week's net.wars, "What's in a name", goes to see Alan Ayckbourn's latest play, The Trial of Romeo Oscar, in which aMmastodonTechnologyRobotics33 min ago

    Playwright Alan Ayckbourn has a new work, The Trial of Romeo Oscar, in which a robot stands trial for murder. The column "What's in a name" on net.wars reviews the play, using it as a springboard for thinking about robots, naming and responsibility in science fiction and in real debates about machine accountability.

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    AI designs chips 500 times smaller●AI can now build chips 500 times smaller—what will this change for us?✉newsTechnologySemiconductors1 min ago

    Reports claim artificial intelligence can now design chips 500 times smaller than current ones, raising questions about what this could change for everyday technology. The claim, circulating in science media including the French outlet Futura, suggests AI-driven design could shrink semiconductors dramatically, with potential effects on computing power, energy use and device size. No technical details or confirmed manufacturers are given in the reporting.

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    KAIST unveils physical AI vision with wearable robot demo●KAIST Declares Physical AI Vision With President Demonstrating Wearable Robot✉newsTechnologyRobotics2 min ago

    The Korea Advanced Institute of Science and Technology has announced a strategic vision centred on physical AI, with its president publicly demonstrating a wearable robot to underline the commitment. The move positions the South Korean research institute at the forefront of robotics that combines artificial intelligence with physical systems, a field seen as a key next step beyond current AI software.

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    Opus 5.5 agents find room-temperature magnetic semiconductor candidates●Opus 5.5 agents discover two room-temperature magnetic semiconductor candidatesYhnLifeHome & Garden49343 min ago

    Vals AI reports that agents built on Anthropic's Opus 5.5 model identified two candidates for room-temperature magnetic semiconductors, a long-sought class of materials that could enable faster, lower-power electronics and spintronic devices by combining magnetic and semiconducting properties without cryogenic cooling. The announcement is drawing attention on technology forums, where commenters are debating how much of the discovery pipeline was genuinely autonomous and whether the candidates will survive experimental validation.

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    Global initiative commits $1.8 billion to AI-ready biological data●AI-ready biological data: $1.8B global commitmentYhnScienceBiology1481 h ago

    A new $1.8 billion global commitment has been announced to make biological data AI-ready, expanding the Virtual Biology Initiative led by CZ Biohub. The funding aims to standardize and open up biological datasets so machine learning tools can analyze them at scale. The announcement is drawing attention among researchers and technologists debating how best to prepare life sciences data for AI applications.

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    IISc professor calls AI threat to education a civilisational crisis●‘A civilisational crisis’: IISc’s viral professor on AI, education and work▶youtubeLifeEducation210.7K41 min ago

    A professor at the Indian Institute of Science in Bengaluru, whose remarks about artificial intelligence have gone widely viral, describes AI's impact on education and work as a civilisational crisis. He argues that universities must rethink how they teach and assess students, and that AI is changing the value of skills and degrees faster than institutions can adapt, sparking broad debate across India about the future of learning and employment.

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    Amateur claims to discover unknown planet using Claude Code●I think I found a planet nobody knew existed. I used Claude Code to find itYhnSportBaseball2941 h ago

    A user reports discovering a previously unknown planet by using Anthropic's Claude Code, the AI coding assistant, to analyze astronomical data. The claim, shared online, is drawing attention as an example of AI tools enabling amateur scientific discoveries, though independent verification of the finding has not been reported.

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    Anthropic's 'Claude-led' CRISPR-like discovery sparks controversy●Anthropic’s ‘Claude-led’ CRISPR-like discovery is sparking controversy✉newsScienceBiology1 h ago

    Anthropic says its AI assistant Claude helped lead a CRISPR-like scientific discovery, and the claim is now drawing criticism and debate. Experts are questioning how much credit the AI can take for the finding and what a 'Claude-led' breakthrough actually means. The dispute touches on wider concerns over overstating AI's role in science.

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    AI Decodes the Hidden Grammar of CTCF, the Genome's Master Organizer●AI Decodes the Hidden Grammar of the Genome’s Master Organizer CTCF✉newsScienceBiology1 h ago

    Researchers are reporting that artificial intelligence has deciphered the 'hidden grammar' governing CTCF, a master organizer protein that regulates how DNA folds and controls gene activity. By decoding the sequence rules that determine where CTCF binds, the work could deepen understanding of gene regulation and disease mechanisms, and it is drawing attention as an example of AI accelerating fundamental genomics research.

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    AI uncovers hidden solutions across 22 scientific fields●AI found solutions to problems in 22 scientific fields hiding in plain sightYhnScienceBiology101 h ago

    Researchers report that artificial intelligence has identified existing solutions to open problems in 22 scientific fields — answers that were already published but overlooked by specialists. By scanning cross-disciplinary literature, the AI connected findings from one field to unsolved questions in another, suggesting much scientific knowledge remains siloed. The work, covered by Science, is drawing attention for hinting that AI could accelerate discovery simply by re-linking what scientists already know.

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    Researchers Race AI to Complete Unique Games Conjecture Proof●As AI Closed in on 'Unique Games' Proof, Researchers Raced to Beat the MachinesYhnSciencePhysics71 h ago

    A new Quanta Magazine report describes mathematicians racing to finish a proof of the Unique Games conjecture as AI systems closed in on the same result. The story highlights growing tension between human researchers and machines over landmark discoveries in theoretical computer science, with the proof's completion carrying major implications for complexity theory and the study of computational hardness.

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    AI chatbots found spreading climate denial●AI’s meet-cute with climate denial✉newsEnvironment1 h ago

    Attention is turning to the overlap between artificial intelligence and climate change denial, with commentary suggesting AI systems may be amplifying or lending credibility to false claims about climate science. The discussion, highlighted by Daily Kos, raises concerns about how misinformation circulates through popular AI tools and what that means for public understanding of global warming.

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    Machine Learning Maps Environmental Links to Childhood Eczema●Machine Learning Maps How Environment and Immunity Shape Childhood Eczema Risk✉newsEnvironment1 h ago

    Researchers have applied machine learning to map how environmental factors and immune responses influence a child's risk of developing eczema. The work highlights how data-driven modelling can identify which exposures and immune signals matter most in early-childhood skin disease. Commenters in health and science circles are sharing the findings as an example of AI advancing research into common allergic conditions.

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    Why a 1976 Makefile beats 2,000 lines of AI prompts●Why did a 1976 Makefile (Part 3.6) and a 1983 Unix init.d directory (Part 3.7) outperform 2,000 lines of English promptMmastodonTechnologySoftware31 h ago

    A developer argues that conventional Unix tooling, such as a 1976 Makefile and the 1983 init.d directory structure, can outperform long English prompt rules when working with AI systems. The claim is that prompts merely link symbols statically, while decades of established computer science convention are already baked into models' training, so older, well-documented structures communicate intent more effectively than verbose instructions.