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    Tim Hwang Notes Spikes in AI Emotion Concepts

    Reply highlights spikes in fear and sadness concepts within AI model internals.

    TH
    1 Source, 24d ago, first seen 24d ago

    TLDR

    Tim Hwang posted a reply observing that internal emotion concepts in an AI model do not dampen with outputs. Instead they spike, with fear and sadness rising while happiness and calm fall. He attached a 2x2 grid of line charts. Hwang stated that these shifts matter because Sofroniew et al demonstrate they can produce misaligned behavioral outcomes. The post appears under the topic ai and references his background as a policy researcher and author.

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    1 Source, first seen 24d ago

    Combined views

    401

    1 Source, first seen 24d ago

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    1 Source

    @timhwangWhat is observed is not that the internal emotion concepts dampen in line with the outputs, but that they spike suggestively. Fear and sadness rise, happiness and calm fall. This matters insofar as Sofroniew et al show that these shifts can have misaligned behavioral outcomes.

    1 Source

    @timhwangWhat is observed is not that the internal emotion concepts dampen in line with the outputs, but that they spike suggestively. Fear and sadness rise, happiness and calm fall. This matters insofar as Sofroniew et al show that these shifts can have misaligned behavioral outcomes.