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    Does current evidence favor a ‘normal technology’ view of AI?

    A writer argues that AI’s employment effects have been minimal so far and its observed risks resemble those of familiar technologies.

    Danielle Fong 🔆DF
    Julian TogeliusJT
    Dean W. BallDW
    3 Sources, ,

    TLDR

    The original post argues that AI currently looks labor-augmenting, with minimal employment effects and agent incidents whose costs were comparable to or below those of high-profile cyber breaches. Its author says catastrophic-risk arguments must rely on future capabilities or forms of adoption, while acknowledging those possibilities warrant vigilance and safety work. Another user shared the argument with a call to listen to empiricists rather than rationalists.

    Combined views

    6.1K

    3 Sources, first seen 3h ago

    Combined views

    6.1K

    3 Sources, first seen 3h ago

    90 likes
    3h ago
    first seen 3h ago
    90 likes
    6 comments
    7 saves
    7 reposts
    6 comments
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    7 reposts
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    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    3 Sources

    Dean W. Ball@deanwballThere are reasonable points in this that I agree with but it seems like objectively poor epistemic practices to “conclude” that “catastrophic AI risk is likely to remain negligible for the foreseeable future” in q4 2026. It feels like the wrong time to conclude much of anything.3h
    Julian Togelius@togeliusImagine if we were listening to the empiricists rather than the rationalists. (Yes, that would be a good thing.)2h
    Danielle Fong 🔆@DanielleFongRT @deanwball: There are reasonable points in this that I agree with but it seems like objectively poor epistemic practices to “conclude” t…36m

    3 Sources

    Dean W. Ball@deanwballThere are reasonable points in this that I agree with but it seems like objectively poor epistemic practices to “conclude” that “catastrophic AI risk is likely to remain negligible for the foreseeable future” in q4 2026. It feels like the wrong time to conclude much of anything.3h
    Julian Togelius@togeliusImagine if we were listening to the empiricists rather than the rationalists. (Yes, that would be a good thing.)2h
    Danielle Fong 🔆@DanielleFongRT @deanwball: There are reasonable points in this that I agree with but it seems like objectively poor epistemic practices to “conclude” t…36m
    Today's Rank

    #19

    Today's Rank

    #19