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    Goodfire Chief Scientist Discusses Interpretability Optimism in Interview

    Goodfire shares 92-second clip of Chief Scientist on ML Street Talk.

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    1 Source, 27d ago, first seen 27d ago

    TLDR

    Goodfire, the San Francisco-based AI research company, posted a tweet linking a 92-second video clip from an ML Street Talk episode. In it Chief Scientist @banburismus_ states optimism about interpretability stems from current strong traction and the potential for an incredible speedup. The company account describes its work as using interpretability to understand, learn from, and design AI models. The post is an official company announcement of the interview appearance.

    Combined views

    12.7K

    1 Source, first seen 27d ago

    Combined views

    12.7K

    1 Source, first seen 27d ago

    135 likes
    135 likes
    2 comments
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    22 reposts

    Sentiment

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    2 comments
    49 saves
    22 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @GoodfireAI"Why am I optimistic about interpretability? It's partly because I think we're starting to have really good traction - but also because I can imagine this incredible speedup." Catch our Chief Scientist @banburismus_ on the latest episode of @MLStreetTalk!

    1 Source

    @GoodfireAI"Why am I optimistic about interpretability? It's partly because I think we're starting to have really good traction - but also because I can imagine this incredible speedup." Catch our Chief Scientist @banburismus_ on the latest episode of @MLStreetTalk!