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Wednesday142 items

  1. ChinaTalk
    AI score75

    China's Ministry of Commerce plans to include AI models in the export control catalog

    China's Ministry of Commerce and Ministry of Science and Technology issued Announcement No. 48 of 2026 on October 16, proposing to add 40 items to the Catalogue of Technologies Prohibited or Restricted from Export in China, of which 14 are prohibited from export and 26 are restricted from export, and to implement pre-export registration for all newly added technologies effective immediately. The draft sets three thresholds for frontier models: ≥10^26 FLOP, ≥2T parameters, or reaching a globally leading level, and also covers AI chip design, memory chips, ten-thousand-card-level clusters, agents, AIGC detection tools, training data, and cyber offense and defense capabilities; scenarios such as open source, self-built overseas data centers, and overseas tape-out may use the report-and-export channel. The public comment period runs until November 15.

    Same story · 8 reports

    #English text is being prepared.#English text is being prepared.#Open-source ecosystem

  4. OpenAIFirst-party
    AI score81

    OpenAI says its model helped discover a critical PHP security vulnerability

    OpenAI stated that its model helped researchers discover a critical security vulnerability in PHP under the Patch the Planet initiative; PHP is estimated to be used to run about 70% of websites. Over the past two months, OpenAI led an alliance of maintainers, researchers, and security vendors to prepare fixes and protections before the vulnerability was disclosed, because remediation was complex and required significant changes to the PHP engine. OpenAI said all sites using PHP can now upgrade versions to stay secure, and considers this one of the most impactful vulnerabilities in recent times and a new phase in which AI can discover security vulnerabilities at internet scale.

    Same story · 6 reports

    #Safety / alignment#OpenAI

  5. Rohan Paul
    AI score58

    Trump says large data centers must generate their own power and pay cash dividends to communities

    In a Truth Social post, Trump said large new data centers must generate their own power and pay cash "dividends" to their host communities. The closest existing commitment is the Ratepayer Protection Pledge signed in March this year by Amazon, Google, Meta, Microsoft, OpenAI, Oracle and xAI, under which signatories pledged to build or purchase generating capacity and bear infrastructure upgrade costs, but experts believe the pledge may not be enforceable at the federal level. Trump said some projects that were initially highly unpopular became popular after financial agreements were reached, and the dividend proposal goes further than those pledges.

    Same story · 5 reports

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

  6. Rohan Paul
    AI score70

    Google Cloud to open Vera Rubin-based A5X instances to all customers next month

    Google Cloud will open Vera Rubin-based A5X instances to all customers next month. Early tests by London advertising group WPP show that AI agent workloads that previously required multiple server clusters can run on a single A5X instance. Externally, racks are interconnected via ConnectX-9 network cards and Google's Virgo network, scaling across multiple sites to 960K Rubin GPUs; the design targets reinforcement learning, where faster CPU-to-GPU and GPU-to-GPU links can shorten each training round.

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

  10. Huxiu
    AI score76

    SpaceX and Tesla Discuss Merger, Valued at About $3.5 Trillion

    SpaceX's third-quarter revenue was $14.6 billion and net profit was $4.4 billion; AI and computing power business revenue was $7.56 billion, up more than ninefold year-on-year, surpassing the connectivity business for the first time. Musk confirmed that SpaceX and Tesla have each established independent special committees of the board of directors to discuss a merger, with a merger valuation of about $3.5 trillion. The article points out that Tesla's free cash flow is negative, and that the merger would change the financing method and capital allocation authority, and the transaction would also need to pass antitrust, national security and foreign investment reviews.

    Same story · 13 reports

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

  12. Rohan Paul
    AI score77

    OpenAI and Google Reach AI Distribution Agreement; GPT-6 Astra and Codex to Launch on Google…

    OpenAI and Google have reached an AI distribution agreement. Within weeks, OpenAI will list GPT-6 Astra and Codex on Google Cloud's Model Garden, extending its model coverage to all three major U.S. clouds. Customers can purchase these models through Google Cloud Marketplace and count the spending toward their committed cloud consumption quotas, eliminating a separate procurement process; regulated customers can also run agent workflows built with OpenAI models within Google Cloud's access control and data governance tools. The agreement only became possible after April 27, 2026, when Microsoft's license to OpenAI technology became non-exclusive and Microsoft stopped paying OpenAI a revenue share on Azure resales; AWS had previously been first to launch Codex on Bedrock.

    Same story · 13 reports

    #Industry news#OpenAI#Google

  13. Rohan Paul
    AI score63

    Gemini 4 Argon processed 25 trillion tokens in 72 hours after launch

    Logan Kilpatrick said that Gemini 4 Argon processed approximately 25 trillion tokens in the first 72 hours after launch, and Rohan Paul calculated from this an average of about 96 million tokens per second. He also stated that demand for intelligence is still underestimated.

    Quoted postLogan Kilpatrick · @OfficialLoganK

    In just the first 72 hours since Gemini 4 Argon launched, we processed ~25 trillion tokens, the demand for intelligence is incredible and still under appreciated!

    #Industry news#Google

  17. Semiconductor Industry Observer
    AI score64

    Dongfang Suanxin's 128-card 3D chip cluster goes live, sprinting toward thousand-card delivery by year-end

    At the Guoxin Exhibition, Dongfang Suanxin announced that its 128-card DF1000 training cluster is running stably and that it has achieved large-scale training cluster delivery, with plans to achieve thousand-card-level cluster delivery by the end of the year. The cluster trained continuously for 72 hours without interruption and has carried training tasks for models such as Llama2-70B and Step 130B; the hundred-billion-parameter-level Step 130B completed training adaptation in only 7 days. The DF1000 adopts 3D-stacked near-memory computing, with per-chip memory access bandwidth of 6.4TB/s, and has completed a closed loop across the domestic industrial chain from chip design and 14nm wafer manufacturing to 3D hybrid bonding packaging.

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

  19. Tech.eu
    AI score54

    European tech funding rebounds to €27.8B in Q3, with AI and cloud accounting for nearly half

    In the third quarter of 2026, European tech companies completed a total of 732 deals and raised €27.8 billion, up 32.4% from €21 billion in the same period of 2025 and more than double the €11 billion in the same period of 2024. Mistral AI (€3 billion), Nscale (two rounds of about €2.95 billion and €2.59 billion), Helsing (€1.58 billion) and Quantum Systems (€1.05 billion) accounted for five deals exceeding €1 billion, with Nscale raising about €6.3 billion across three rounds in the quarter. AI companies raised €6.7 billion and cloud companies €6.4 billion, together accounting for about 47% of the quarter's total; the UK accounted for about 43% with nearly €12 billion and 188 deals, while Germany accounted for about €4.9 billion and France €4 billion.

    #Industry news#English text is being prepared.