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    The case for letting users read LLMs’ full, unencrypted reasoning traces

    A user argues that readable reasoning traces would help ensure large language models behave in an aligned way.

    MM
    1 Source, 15d ago, first seen 15d ago

    TLDR

    In a September 15 post, a user calls for access to LLMs’ full, unencrypted reasoning traces, arguing that letting users read them is a step that could help with alignment immediately.

    Combined views

    32

    1 Source, first seen 15d ago

    4 reposts

    Combined views

    32

    1 Source, first seen 15d ago

    4 reposts
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    1 Source

    @mmitchell_aiRT @abidlabs: You know one thing that would help *right now* to ensure LLMs behave in an aligned way? If users could read their FULL, UNE…

    1 Source

    @mmitchell_aiRT @abidlabs: You know one thing that would help *right now* to ensure LLMs behave in an aligned way? If users could read their FULL, UNE…