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    Home»Machine Learning»AI when it’s not desperately trying to win our approval | by David Weinberger | May, 2025
    Machine Learning

    AI when it’s not desperately trying to win our approval | by David Weinberger | May, 2025

    Team_AIBS NewsBy Team_AIBS NewsMay 19, 2025No Comments2 Mins Read
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    by chatGPT. CC-0

    Right here’s one thing a bit of encouraging about massive language fashions.

    I made up a weak however provocative-sounding argument to see whether or not LLM’s tendency to please its customers would hold it from pushing again on it.

    Personally, I feel it does an admirable job of declaring weaknesses, and suggesting methods they may very well be overcome, as a very good instructor would possibly. You, in fact, nicely would possibly disagree.

    Right here’s the interchange:

    I’m outlining an argument I need to flip into an op-ed or column I can get positioned in a serious on-line outlet. Right here is the argument:

    1. AI thinks it thinks.

    2. Pondering you suppose introduces errors of thought, together with an unwarranted skepticism.

    3. That skepticism results in over-compensation by which the factor that thinks it thinks asserts its perception with increasingly confidence

    4. These assertions grow to be a psychological behavior that results in extra dedication to what one thinks.

    5. This results in increasingly errors of thought, and probably to poisonous personalities.

    What do you consider this argument? If you happen to suppose it’s principally sound, how may you make it stronger.

    Do NOT write the op-ed for me. I’m solely within the argument itself.

    The argument is intriguing and has potential, but it surely at present suffers from some conceptual ambiguity and logical gaps. Right here’s a breakdown:

    1. Attention-grabbing Premise: The concept that AI “thinks it thinks” is provocative and invitations readers to query the character of AI’s self-perception.
    2. Psychological Perception: The development from unwarranted skepticism to overcompensation and psychological behavior formation is compelling and has potential connections to cognitive bias analysis.



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