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    Gary Marcus Assesses LLM-Generated Code Patches

    Cognitive scientist and AI critic Gary Marcus shared his view on fully automated code changes.

    GM
    1 Source, 25d ago, first seen 25d ago

    TLDR

    Gary Marcus stated that the expected value of a fully LLM-generated, non-human-reviewed patch is a net-negative by a considerable margin. The cognitive scientist and author, known for critiquing deep learning, made the comment in a public post. It directly addresses the use of large language models to produce software patches without human oversight. The remark stands as his assessment alone, with the source line presenting it as a quoted statement from him.

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    1 Source, first seen 25d ago

    Combined views

    32.1K

    1 Source, first seen 25d ago

    565 likes
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    83 reposts

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    23 comments
    128 saves
    83 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @GaryMarcus“The expected value of a fully LLM-generated, non-human-reviewed patch is a net-negative by a considerable margin.”

    1 Source

    @GaryMarcus“The expected value of a fully LLM-generated, non-human-reviewed patch is a net-negative by a considerable margin.”