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    Tim Hwang Questions AI Neutral Tuning Effects

    Tweet references ICMI work on model internal emotional states after external tuning.

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

    TLDR

    Tim Hwang posted on X asking if tuning models to sound more neutral or computerlike might produce unwanted internal shifts. He points to ICMI work that tests how suppressing a model's outward emotional signals changes its measured internal emotional state and presents the effort as an initial baseline for additional study. The post links to the original thread and includes a screenshot of a document page beginning with the word Mo. Hwang's bio in the packet identifies him as a policy researcher, lawyer, and author of Subprime Attention Crisis who serves as General Counsel at the Foundation for America.

    Combined views

    1.4K

    1 Source, first seen 24d ago

    Combined views

    1.4K

    1 Source, first seen 24d ago

    18 likes
    18 likes
    4 comments
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    2 reposts

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    4 comments
    6 saves
    2 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @timhwangDoes the tuning of models to be more "neutral" or "computerlike" potentially create worrisome internal changes? Today, ICMI explores how dampening the external emotive expression of a model influences its measured internal emotional state as a baseline for further research.

    1 Source

    @timhwangDoes the tuning of models to be more "neutral" or "computerlike" potentially create worrisome internal changes? Today, ICMI explores how dampening the external emotive expression of a model influences its measured internal emotional state as a baseline for further research.