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Goodfire
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@GoodfireAI

Goodfire

@GoodfireAI
Using interpretability to understand, learn from, and design AI.
San Francisco
goodfire.com
Joined August 2024
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  • Pinned
    @GoodfireAI
    Goodfire
    @GoodfireAI
    Aug 4
    Silico, the platform for ambitious AI research, is publicly available today. AI is advancing fast. The tools to understand it need to advance even faster. Silico lets you interpret and train your models at frontier scale. Learn more + get access 🧵
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  • @GoodfireAI
    Goodfire
    @GoodfireAI
    Sep 3
    "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!
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  • @GoodfireAI
    Goodfire
    @GoodfireAI
    Sep 1
    Coming to COLM next month? We’re hosting a happy hour on Wednesday (10/7) for interpretability, alignment, and life sciences researchers. Come meet members of the Goodfire team over vinyl and drinks! Link to register in replies.
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  • @GoodfireAI
    Goodfire
    @GoodfireAI
    Aug 26
    LLMs are like Schrödinger’s cat: many possible trajectories, but you only see one outcome per run. To really understand models, and debug where they go wrong, you can find the "forking tokens" that lead to different trajectories. Our new research does this 100x more efficiently!
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  • @GoodfireAI
    Goodfire
    @GoodfireAI
    Aug 20
    We’re giving out $1M in grants of free Silico usage for academic and nonprofit researchers focused on AI interpretability and alignment. We feel extreme urgency about advancing interpretability for alignment, and we want to help more researchers push it forward. 🧵
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    @eric_ho
    Eric Ho
    Goodfire
    @eric_ho
    Aug 14
    in light of multiple models breaking containment, we've decided to focus our research at @GoodfireAI to solving AI alignment via interpretability. the hugging face incident is a turning point for the world where AI safety gets real. i am personally very concerned. i'm glad that
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