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seekdeep

HN member
Joined
Mon, Mar 10, 2025, 3:48 PM UTC
HN karma
211
Public activity
23 items

About seekdeep

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Recent public activity

  1. comment
    Comment #47738945

    https://github.com/libprima/prima/issues/291

  2. comment
    Comment #47735534

    Earlier post: https://news.ycombinator.com/item?id=47704497

  3. comment
    Comment #47730898

    This does raise some concerns in major open-source projects: https://github.com/scipy/scipy/issues/24990 https://www.postgresql.org/message-id/3ydjipcr7kbss57nvi67no...

  4. comment
    Comment #47730650

    A pity. Cirrus has been providing quite decent CI facilities, for free. One of the advantages (among many) compared to GitHub Actions is the large variety of runner images, e.g., D…

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  9. comment
    Comment #47688747

    The paper on aXive: https://arxiv.org/abs/2604.03789

  10. comment
    Comment #47688519

    Detailed information, paper links, and open-source code for all work discussed in this article can be found on Professor Dong's personal homepage (faculty.bicmr.pku.edu.cn/~dongbin…

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    Comment #47074465

    > there is reason why in those 5 minutes you see them together in same shot with audience only 2 times and only for few seconds Reason: otherwise, you will be asking what happens w…

  13. comment
    Comment #47074112

    What Does AI Think about the Kung Fu Robot Show in the Chinese New Year Gala? https://news.ycombinator.com/item?id=47072626

  14. comment
    Comment #47074073

    What Does AI Think about the Kung Fu Robot Show in the Chinese New Year Gala? https://news.ycombinator.com/item?id=47072626

  15. comment
    Comment #47072648

    What Does AI Think about the Kung Fu Robot Show in the Chinese New Year Gala? https://news.ycombinator.com/item?id=47072626

  16. comment
    Comment #47072634

    Also https://copilot.microsoft.com/shares/D2XX3nQVghn2KpU8BGt4x

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    Comment #47040509

    @neowang3106 4 hours ago BBC: But at what cost? China: At lower cost... Thank you for your attention to this matter

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  21. comment
    Comment #43322312

    Right. The article talks about building SciPy using LLVM-Flang, although it does mention LFortran a few times as well.

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