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    How transparent are LLM-generated reports of agent work?

    A post announcing a new preprint says researchers and engineers increasingly rely on LLM-written accounts of code and experiments to understand work generated by agents.

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    3 Sources, 13h ago, first seen 13h ago

    TLDR

    The post describes a new preprint that calls language models “insecure” reporters and asks how transparent their reports of agent-generated work are. It says researchers and engineers have become increasingly reliant on these second-hand accounts of code and experiments.

    Combined views

    25.4K

    3 Sources, first seen 13h ago

    likes

    Combined views

    25.4K

    3 Sources, first seen 13h ago

    301 likes
    301
    19 comments
    207 saves
    51 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

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    Featured Source
    19 comments
    207 saves
    51 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    3 Sources

    @jennyihuangnew preprint: language models are “insecure” reporters. researchers and engineers have become increasingly reliant on LLM-written reports---second-hand accounts of code and experiments---to understand agent-generated work. in this study, we ask: “how transparent are these LLM-generated reports?” 🔍
    @bakkermichielRT @jennyihuang: new preprint: language models are “insecure” reporters. researchers and engineers have become increasingly reliant on LLM…

    3 Sources

    @jennyihuangnew preprint: language models are “insecure” reporters. researchers and engineers have become increasingly reliant on LLM-written reports---second-hand accounts of code and experiments---to understand agent-generated work. in this study, we ask: “how transparent are these LLM-generated reports?” 🔍
    @bakkermichielRT @jennyihuang: new preprint: language models are “insecure” reporters. researchers and engineers have become increasingly reliant on LLM…
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