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Deng Yu proposes that AI should disclose its chain of thought and respect users' right to choose regarding their data

3 reports2 discussions5 story updatesUpdated Oct 27 12:57

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Fields Medalist Deng Yu comments on AI companies' anti-distillation: You can't support distillation only when you're distilling all of humanity's knowledge yourselves

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  1. Deng Yu proposes that AI should disclose its chain of thought and respect users' right to data choice

    Source:Phoenix Technology

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Oct 27

  1. English text is being prepared.

    Fields Medalist Deng Yu comments on AI companies' anti-distillation: You can't support distillation only when you're distilling all of humanity's knowledge yourselves

    Deng Yu, Fields Medalist and professor in the Department of Mathematics at the University of Chicago, criticized AI companies in a speech at the "Intellectuals" and "Mr. Science" forums for refusing to disclose their chains of thought under the pretext of "preventing distillation," arguing that this does not conform to academic norms. He pointed out that AI companies are very open when they distill all of humanity's knowledge, yet when others merely want to understand the chain of thought, they are accused of distillation. Deng Yu proposed open-sourcing mathematical models so that the mathematics community can have its own models and follow academic norms such as data usage, chain-of-thought disclosure, and traceability.

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  4. Phoenix Technology

    Fields Medalist Deng Yu on AI mathematical proofs: it used mathematicians' ideas—how should contributions be recognized?

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Oct 26

  1. Shanghai Observer

    Deng Yu questions AI companies: You take mathematicians' ideas, what do we get in return?

    Fields Medalist Deng Yu questioned AI companies at a forum: mathematicians pay to input their ideas for training, yet AI companies refuse to disclose their chains of thought on the grounds of preventing distillation, leaving users with nothing in the end. He believes that the more than 300 problems and over 700 articles released by OpenAI are mostly based on existing human understanding rather than created out of thin air, and that mathematical research must still be people-centered, with AI as a tool.

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