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    AI paper evaluations could worsen replication problems, one post warns

    A post describes an experiment with AI systems revisiting published research, finding opportunities and issues, then sharing those judgments publicly.

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    TLDR

    One post describes AI systems rereading published research and publicly sharing judgments about opportunities and issues, calling the experiment a sign of a "tsunami coming for academia." A quote-post warns that using machines as evaluators will worsen what it calls the already "terrible" state of replication across disciplines.

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    3 Sources, first seen 23d ago

    Combined views

    5.4K

    3 Sources, first seen 23d ago

    3 likes
    23d ago
    first seen 23d ago
    3 likes
    5 comments
    3 saves
    190 reposts

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    5 comments
    3 saves
    190 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    3 Sources

    @sarthakghThe already terrible state of replication in academia across disciplines is about to get a lot worse in the era of machines as evaluators
    @peteskomorochRT @emollick: This is both an interesting experiment and a sign of a tsunami coming for academia. AIs retroactively reading the research an…

    3 Sources

    @sarthakghThe already terrible state of replication in academia across disciplines is about to get a lot worse in the era of machines as evaluators
    @peteskomorochRT @emollick: This is both an interesting experiment and a sign of a tsunami coming for academia. AIs retroactively reading the research an…