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Tuesday

  1. 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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Monday

  1. 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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  2. ScienceNet

    AI as a "research partner"—are you really at ease with it?

    Anhui University of Finance and Economics reported an academic misconduct case, determining that the author's "mistaken belief" in AI search results constituted improper use of AI and penalizing the responsible parties. Multiple researchers have pointed out that AI can complete closed-loop processes such as literature review and experimental planning, but cannot independently pose original questions, and will generate seemingly plausible yet unverifiable hypotheses and fake citations. An arXiv review of 2.5 million papers and 111 million references shows that in 2025 alone, the four major platforms contained nearly 150,000 fabricated references generated by AI.

    Anhui University of Finance and Economics reported an academic misconduct case, determining that the author's "mistaken belief" in AI search results constituted improper use of AI and penalizing the responsible parties. Multiple researchers have pointed out that AI can complete closed-loop processes such as literature review and experimental planning, but cannot independently pose original questions, and will generate seemingly plausible yet unverifiable hypotheses and fake citations. An arXiv r

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  3. The Beijing News

    AI Application Monthly Report: Tech Giants Battle in Office AI, ByteDance's Coze and iFlytek's Tingjian See Monthly Active Users Decline

    In August, Tencent, Baidu, and Alibaba ramped up their office AI Agents. Tencent WorkBuddy was the first to surpass 10 million monthly active users, reaching 11.372 million, up 72.9% month-on-month; Baidu Dazi reached 7.879 million and Qwen Office 1.217 million, up 203.7% and 298.2% month-on-month respectively. ByteDance's Coze had 4.492 million monthly active users and iFlytek's Tingjian 1.400 million, down 9.0% and 8.7% month-on-month respectively. Doubao reached 553 million monthly active users, up 4.60% month-on-month, widening its gap with second-place Quark to about 357 million.

    In August, Tencent, Baidu, and Alibaba ramped up their office AI Agents. Tencent WorkBuddy was the first to surpass 10 million monthly active users, reaching 11.372 million, up 72.9% month-on-month; Baidu Dazi reached 7.879 million and Qwen Office 1.217 million, up 203.7% and 298.2% month-on-month respectively. ByteDance's Coze had 4.492 million monthly active users and iFlytek's Tingjian 1.400 million, down 9.0% and 8.7% month-on-month respectively. Doubao reached 553 million monthly active use

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  4. Cailian Press

    Microsoft launches biological world model Quine, multiple giants double down on AI4S

    Microsoft Research has launched an experimental AI research system, Quine, building a biological multimodal world model covering genomics, proteins, chemistry, RNA, cell states, and biological imaging, and constructing an interactive harness framework that connects models, scientific tools, literature, and researchers. Microsoft has partnered with the Broad Institute, jointly established by MIT and Harvard University, to apply Quine to cancer biology research. In one case, it completed the predictive ranking of the effects of thousands of compounds on pancreatic cancer cell states over a single weekend, saving months of experimental work, but the system is still in an early research stage. In addition, Anthropic established a life sciences research team and laboratory on September 23, OpenAI launched GPT-Rosalind for life sciences in April this year, and Nvidia announced in January this year a joint effort with Eli Lilly to build an AI innovation laboratory.

    Microsoft Research has launched an experimental AI research system, Quine, building a biological multimodal world model covering genomics, proteins, chemistry, RNA, cell states, and biological imaging, and constructing an interactive harness framework that connects models, scientific tools, literature, and researchers. Microsoft has partnered with the Broad Institute, jointly established by MIT and Harvard University, to apply Quine to cancer biology research. In one case, it completed the predi

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Sunday