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    The trade-offs of AI alignment work at major labs

    One commenter urges people to help solve AI alignment, highlighting labs’ computing resources and access to the latest models while praising work at Goodfire, Redwood and METR.

    RO
    1 Source, 16d ago, first seen 16d ago

    TLDR

    A commenter argues that major labs offer resources for AI alignment research, but aren’t the only places to contribute. They say labs provide compute and the latest models to accelerate alignment research, plus somewhat misaligned models to study. They also cite Richard Ngo’s view of labs as a “pressure cooker” where moving fast dominates deep, creative thinking. Praising Goodfire, Redwood and METR, the commenter closes with a call to “come solve alignment.”

    Combined views

    10.3K

    1 Source, first seen 16d ago

    Combined views

    10.3K

    1 Source, first seen 16d ago

    233 likes
    233 likes
    18 comments
    20 saves
    3 reposts

    Sentiment

    Positive——Negative

    Summary

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    18 comments
    20 saves
    3 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @tszzlthe labs give you access to compute resources, the latest models both for alignment research acceleration and, well, somewhat misaligned models to study. no one can suggest any of this is ideal, and this is no longer high status to say, but come solve alignment

    1 Source

    @tszzlthe labs give you access to compute resources, the latest models both for alignment research acceleration and, well, somewhat misaligned models to study. no one can suggest any of this is ideal, and this is no longer high status to say, but come solve alignment