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Decision models like Jev don't beat LLM-as-a-judge or traditional classifiers

99 points · 36 comments · tomncooper

  1. Garlef · · focus · HN ↗
    I think it's a bit early to call the race.

    I think the abstraction is a useful one - a general purpose classifier that does not need to be specifically trained: Unstructured signal in, structured judgement out - with a focus on speed and cost efficiency.

    And since there is not yet a large body of benchmarks, I don't think we have sufficiently explored how to measure these things.

    But since there's a market and some hype this will soon happen.

    (And it's not like TypesafeAI has a real moat or invented something entirely new here ~ they just managed to put things into one coherent perspecive)

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