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Jiang Yuhao proposes that AI development has a triple paradox

1 reports1 story updatesUpdated Oct 6 11:36

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On October 6, 2026, Jiang Yuhao proposed that AI development has a triple paradox, namely the productivity paradox, the Polanyi paradox, and the innovation paradox. The related article discusses this against the backdrop of the Trump administration's demand that federal documents replace "artificial intelligence (AI)" with "superintelligence (SI)" and its plan to propose a federal legal definition within 60 days: 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 dominated by tech giants neglects the needs of small and medium-sized enterprises and developing countries. On this basis, the article advocates promoting "democratization of innovation" through open-source models, shared platforms, and public funding, and holds that China's "AI+" initiative, which promotes the integration of AI with six key fields, has demonstrative significance. At present, this view is presented by a single-source report, and there are no subsequent factual developments.

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

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  1. Jiang Yuhao proposes that AI development has three paradoxes

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Oct 6

  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.

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