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    The case for guiding AI answers by how they should feel

    One user argues that rules for getting AI assistants to answer correctly keep multiplying to cover edge cases, and proposes describing the intended feeling instead.

    gabrielGA
    1 Source, 20d ago, first seen 20d ago

    TLDR

    Rather than keep adding rules, a user wants to describe what readers should feel when reading an AI assistant’s response. They argue that this carries more information per token than explicit rules, which they see as too sparse and requiring endless additions for edge cases.

    Combined views

    1.2K

    1 Source, first seen 20d ago

    Combined views

    1.2K

    1 Source, first seen 20d ago

    5 likes
    5 likes
    3 comments
    4 saves
    3 comments
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    1 Source

    gabriel@gabriel1stating rules to get an ai assistant to answer correctly is too sparse in information and accumulates new rules for edge cases forever i just want to describing what you should feel when reading the response which has more information per token20d

    1 Source

    gabriel@gabriel1stating rules to get an ai assistant to answer correctly is too sparse in information and accumulates new rules for edge cases forever i just want to describing what you should feel when reading the response which has more information per token20d

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.