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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. outofpaper · · focus · HN ↗
        Yup, one output token, and read the logprobs of the posible tokens that could have been thos 1st token. Plenty of systems already do this; Typesafe's fundraising and marketing just made it visible.

        Good to see interest broadening beyond "just extend thinking." More approaches in the toolbox means fewer problems get treated as nails.

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