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    Terry Tao Announces Advisory Group on Mathematics and AI●The Advisory Group on Mathematics and Artificial IntelligenceYhnCultureArt1611 min ago

    Mathematician Terence Tao has announced the formation of an Advisory Group on Mathematics and Artificial Intelligence, publishing the news on his personal blog. The group is intended to examine how AI is reshaping mathematical research and to advise the community on its use. The announcement is drawing wide attention among mathematicians and technologists debating AI's growing role in fundamental science.

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    AI put to work for human rights and math research●From human rights to mathematical research: how AI is being used for good https://www.npr.org/2026/09/27/nx-s1-5981063/fMmastodonTechnology341 min ago

    NPR reports on how artificial intelligence is being applied to beneficial causes, ranging from human rights work to mathematical research. The piece highlights examples of AI moving beyond commercial uses toward social good, prompting discussion about the technology's positive potential alongside ongoing concerns about its risks.

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    AI finds positive uses from human rights to math research●From human rights to mathematical research: how AI is being used for good✉newsTechnologyAI41 min ago

    NPR reports on the constructive applications of artificial intelligence beyond commercial hype, highlighting its role in human rights work and mathematical research. The piece surveys how researchers and advocates are deploying AI tools to document abuses, analyze evidence, and accelerate discoveries in pure mathematics, offering a counterpoint to widespread coverage focused on risks and controversies.

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    OpenAI forms advisory group on mathematics and AI●Advisory Group on Mathematics and Artificial IntelligenceYhnCultureArt771 min ago

    OpenAI has announced the creation of an Advisory Group on Mathematics and Artificial Intelligence, according to a post on the company's website. The announcement suggests the group will examine how AI systems interact with mathematical research and practice. Details about the group's members, mandate and first projects have not been widely reported yet, so discussion is mostly about the announcement itself and what such an advisory body might do.

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    AI computes record 9-loop physics amplitude●AI beats human record, independently computes 9-loop physics amplitude | Most real-world calculations stop at 2, 3 loops | Inshorts✉newsSciencePhysics1 h ago

    An AI system has reportedly set a record by independently computing a 9-loop physics amplitude, a Feynman diagram calculation far beyond typical human work. Most real-world perturbative calculations in quantum field theory stop at 2 or 3 loops due to their complexity. The result highlights how machine learning is beginning to automate some of the most demanding mathematical tasks in theoretical physics.

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    Quantum-like math may explain biology without quantum effects●Biology might not be quantum, but its math is quantumlike https://www.quantamagazine.org/biology-might-not-be-quantum-buMmastodonSciencePhysics23 h ago

    Quanta Magazine reports that while quantum effects in biology remain unproven, the mathematics used to model biological systems increasingly resembles quantum formalism. Researchers are applying quantum-like mathematical frameworks to describe how living systems behave, bridging physics and biology without claiming organisms actually exploit quantum mechanics. The piece is drawing attention on tech and science discussion forums, where readers are debating whether these tools reveal deep parallels or are just convenient analogies.

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    Amit Sahai argues the world needs far more mathematicians●Intriguing 🤔: “We’re Gonna Need A Lot More Mathematicians”, Amit Sahai via Terence Tao ( https:// terrytao.wordpress.comMmastodonTechnologyAI24 h ago

    Cryptographer Amit Sahai has published a guest essay titled 'We're Gonna Need A Lot More Mathematicians' on Fields Medalist Terence Tao's blog. The piece, also circulating on Hacker News, argues that mathematics expertise will be in higher demand as AI tools advance, prompting discussion among researchers about how large language models change the value and supply of mathematical talent.