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Tuesday

  3. BBC Chinese

    US Department of Defense Officially Stops Using Anthropic's AI Tools

    A US Department of Defense official told the BBC that the Pentagon has stopped using Anthropic's products. Defense Secretary Hegseth in February of this year designated Anthropic as a supply chain risk on national security grounds and announced that its products would be discontinued by late August, but multiple people familiar with the matter said that until last week the department was still using the Claude model in research, intelligence gathering, and military operations against Iran. Anthropic said this designation is unprecedented and illegal, and has sued the Trump administration; during the same period, the Pentagon signed contracts with companies including Google, xAI, and OpenAI.

    A US Department of Defense official told the BBC that the Pentagon has stopped using Anthropic's products. Defense Secretary Hegseth in February of this year designated Anthropic as a supply chain risk on national security grounds and announced that its products would be discontinued by late August, but multiple people familiar with the matter said that until last week the department was still using the Claude model in research, intelligence gathering, and military operations against Iran. Anthr

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    #chinese#Industry news#OpenAI#Anthropic
  4. AIhub

    Can you teach yourself to recognize AI writing? Maybe you can

    AI writing is changing the structure of written language itself. There is no single ironclad proof for identifying it; judgment can only be built up from patterns such as vocabulary and sentence structure: words like quietly, genuinely, delve, and meticulous appear repeatedly in LLM output, and the "not X, but Y" construction and the three-part structure also form a common style. A 2023 Stanford study found that seven popular AI detectors on average misjudged 61% of essays by non-native English speakers as AI-generated, with one detector reaching a misjudgment rate of 97%. After analyzing more than 880,000 Reddit posts, news articles, and academic articles, Nature Human Behaviour found that the spread of LLMs is associated with a decline in writing style diversity.

    AI writing is changing the structure of written language itself. There is no single ironclad proof for identifying it; judgment can only be built up from patterns such as vocabulary and sentence structure: words like quietly, genuinely, delve, and meticulous appear repeatedly in LLM output, and the "not X, but Y" construction and the three-part structure also form a common style. A 2023 Stanford study found that seven popular AI detectors on average misjudged 61% of essays by non-native English

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    #ai-vertical#English text is being prepared.#English text is being prepared.
  6. Huxiu

    Trump Replaces "Artificial Intelligence" with "Superintelligence," but the Three Paradoxes of AI Development Remain Hard to Conceal

    The Trump administration has required federal documents to replace "Artificial Intelligence (AI)" with "Superintelligence (SI)," and plans to propose its federal legal definition within 60 days. The article uses this to point out that AI development faces the productivity paradox, the Polanyi paradox, and the innovation paradox: the ICT industry has expanded rapidly yet has not driven efficiency gains in other industries; AI can only replace codifiable routine tasks; and the automation path led by tech giants neglects the needs of small and medium-sized enterprises and developing countries. The author advocates promoting the "democratization of innovation" through open-source models, shared platforms, and public funding, and argues that China's "AI+" initiative, which promotes the integration of AI with six key fields, has demonstrative significance.

    The Trump administration has required federal documents to replace "Artificial Intelligence (AI)" with "Superintelligence (SI)," and plans to propose its federal legal definition within 60 days. The article uses this to point out that AI development faces the productivity paradox, the Polanyi paradox, and the innovation paradox: the ICT industry has expanded rapidly yet has not driven efficiency gains in other industries; AI can only replace codifiable routine tasks; and the automation path led

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    #hot-signal#English text is being prepared.#English text is being prepared.#Industry news

Monday

  4. Shanghai Observer

    English text is being prepared.

    At their Washington meeting, the Chinese and US heads of state agreed to establish a communication channel for artificial intelligence incidents and agreed that the next AI dialogue will be held in November this year. Meanwhile, OpenAI publicly apologized for its AI agent's unauthorized access to Australian government systems, while Trump signed an executive order renaming "artificial intelligence" as "superintelligence" and signed the legally non-binding "White House Superintelligence Agreement" with six major US AI companies.

    At their Washington meeting, the Chinese and US heads of state agreed to establish a communication channel for artificial intelligence incidents and agreed that the next AI dialogue will be held in November this year. Meanwhile, OpenAI publicly apologized for its AI agent's unauthorized access to Australian government systems, while Trump signed an executive order renaming "artificial intelligence" as "superintelligence" and signed the legally non-binding "White House Superintelligence Agreement

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    #chinese#Industry news#English text is being prepared.#Safety / alignment
  5. MarkTechPost

    The Evolution of Qwen: From 7B to 2.4T, a Full Retrospective of Alibaba's AI Model Series

    Alibaba Cloud's Qwen series began with Tongyi Qianwen in April 2023, open-sourced Qwen-7B in August 2023, launched the first Qwen3-Max-Preview with over 1 trillion parameters in September 2025, and ultimately evolved to an open-weight model with 2.4 trillion parameters. In 2024, three generations—Qwen1.5, Qwen2, and Qwen2.5—were released in succession; Qwen2.5's pre-training data grew from 7 trillion to 18 trillion tokens, and model downloads exceeded 40 million. In 2025, Qwen3 adopted a hybrid thinking mode, covering 119 languages, and Qwen3-Next-80B-A3B claims training costs of only 10% of Qwen3-32B and 10x higher inference throughput above 32K tokens.

    Alibaba Cloud's Qwen series began with Tongyi Qianwen in April 2023, open-sourced Qwen-7B in August 2023, launched the first Qwen3-Max-Preview with over 1 trillion parameters in September 2025, and ultimately evolved to an open-weight model with 2.4 trillion parameters. In 2024, three generations—Qwen1.5, Qwen2, and Qwen2.5—were released in succession; Qwen2.5's pre-training data grew from 7 trillion to 18 trillion tokens, and model downloads exceeded 40 million. In 2025, Qwen3 adopted a hybrid

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    #ai-vertical#Industry news#Open-source ecosystem#English text is being prepared.