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Friday12 items

  3. HuxiuOpinion
    AI score94

    An unreleased OpenAI model produced 722 mathematics manuscripts overnight, prompting a joint criticism from 25 Fields Medalists

    OpenAI published the openai/math repository on GitHub, disclosing 722 mathematics manuscripts and 372 result groups in one go, all produced by an undisclosed internal model, covering results such as a quasi-Riemann hypothesis, reducing the exponent of matrix multiplication over the complex field to 2.25, and a four-dimensional version of the Kakeya conjecture. The authors state that each result cost on average about 3 hours of ChatGPT Pro-level compute, whereas the September attack on the Navier–Stokes equations deployed roughly 10,000 agents, ran for 88 hours, and cost millions of dollars. 25 Fields Medalists signed a joint letter titled "The Serious Misalignment of AI in Mathematics," criticizing AI companies for treating problem-solving as a marketing tool, and the advisory group of the Institute for Advanced Study in Princeton demanded that such practices stop.

    #English text is being prepared.#OpenAI#Papers/Research

  4. HuxiuOpinion
    AI score58

    Data centers cluster in Ulanqab: Direct supply from the West Inner Mongolia power grid and Inner Mongolia's power surplus

    The delivered electricity price for data centers in Ulanqab is about 0.358 yuan/kWh, 0.442 yuan lower than Beijing. A single AI accelerator card saves about 2,700 yuan per year, and a 10,000-card cluster saves about 27 million yuan per year. The article argues that the low electricity price comes from the West Inner Mongolia power grid, as a provincial-level independent grid, allowing dedicated-line direct supply between data centers and power plants and exempting transmission and distribution tariffs, rather than from wind and solar resources themselves. Combined with Inner Mongolia's surplus capacity of more than 100 GW of wind power and about 130 GW of coal power as of the end of 2025, the region has already built or planned 89 data centers, with confirmed computing capacity of 15 GW. This institutional cost advantage is difficult for other computing hubs to replicate.

    #English text is being prepared.#English text is being prepared.#English text is being prepared.

Thursday5 items

Wednesday5 items

  3. HuxiuOpinion
    AI score56

    Meta's 14GW ambition and Blackstone's abandoned 22 months: AI infrastructure shifts to competing on resources and speed

    Meta is expected to invest $145 billion in AI infrastructure this year, with installed capacity reaching 14GW, while Blackstone's Digital Gateway data center project, which persisted for 22 months, ultimately withdrew its appeal and was terminated. The article argues that the bottleneck of AI infrastructure has shifted from chips to power and time; globally, 57% of data center projects are delayed by more than 3 months, and only projects with ready power, customer contracts, and construction conditions can continue to attract capital investment.

    #Industry news#English text is being prepared.#English text is being prepared.

Tuesday4 items

  1. Cailian PressOpinion
    AI score56

    Altman Says Society Should Accept Some Negative Events Brought by AI

    OpenAI CEO Sam Altman said in an interview that in order to obtain the benefits brought by AI technology and let the public decide how to use it, society should accept that some negative events will occur, including hacker attacks, fraud and so on. He said the value people create using this technology may be several orders of magnitude higher than the negative impacts, and argued that there is a major divergence between OpenAI and stricter AI safety advocates. Altman also criticized Elon Musk and warned that open-source models developed by competitors could trigger a huge wave of cybersecurity problems.

    #Industry news#Safety / alignment#OpenAI