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Clef: Open-weight decision models, and new RL fine-tuning platform

637 points · 217 comments · jasondavies

  1. manlymuppet · · focus · HN ↗
    Am I hearing this right, that they made a decision model based on Typesafe's new paradigm, and actually made a model better than Jev based on Typesafe's own ranking?

    And it's only been a few weeks.

    1. TeMPOraL · · focus · HN ↗
      It's not a "new paradigm", it's a low-hanging fruit that's been lying around for years; Typesafe were the first to bother to stop and pick it up, and market the shit out of it. But it was still a low-hanging fruit.

      There are many, many of those left around, because AI frontier is moving forward so fast, everyone is racing ahead. Which is why I laugh when people say AI is not transformative and LLMs are a dead end (and my favorite, "what are we going to do with all those GPUs when the bubble pops?"). Even if SOTA LLMs hit a hard capability limit tomorrow and never advanced again, there's a good decade of growth and advancement to be extracted just from all the low-hanging fruits that were left unpicked along the way.

      1. tomrod · · focus · HN ↗
        > what are we going to do with all those GPUs when the bubble pops?

        Your comment here made me laugh, because I think we will finally be able to play Crysis at 10fps.

        Just kidding, of course. GPU half lives are quite a bit less than standard compute half lives, no?[0] That's what I've been trying to understand regarding data centers focusing as GPU clusters -- seems like the ROI window would have to be very short for the capitalization.

        [0] <a href="https:&#x2F;&#x2F;www.tomshardware.com&#x2F;pc-components&#x2F;gpus&#x2F;datacenter-gpu-service-life-can-be-surprisingly-short-only-one-to-three-years-is-expected-according-to-unnamed-google-architect" rel="nofollow">https:&#x2F;&#x2F;www.tomshardware.com&#x2F;pc-components&#x2F;gpus&#x2F;datacenter-g...

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