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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. seizethecheese · · focus · HN ↗
        Name a few of these low hanging fruit left around.
        1. CamperBob2 · · focus · HN ↗
          An example I like to use is: compare the quality and scope of games released with a brand-new console to the ones released for that console towards the end of its life, when everyone has learned how to take advantage of whatever weird, wacky hardware Sony invented for that console generation.

          There is still a lot we don't know about how to get the most out of existing LLM components from a speed or cognitive-performance perspective. People could easily spend the next decade studying and refining what's been built so far, even if no new, original approaches ever arrive.

          1. randomNumber7 · · focus · HN ↗
            I never enjoyed playing ps4 when it is constantly louder than my vacuum cleaner.
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