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Kev: Tiny Jev-like family of decision models built on top of Qwen3.5

462 points · 211 comments · tosh

  1. monkeydust · · focus · HN ↗
    Bit of a Jev explosion going on. Is it because it's taking us back to a simpler time we understand better? Classification models have been around for a while.
    1. BoorishBears · · focus · HN ↗
      Jev is creating a sort of identity crisis for me, because the number of absolutely clueless folks parroting the classifier thing is the first time I've seen this sort of mass psychosis in CS upfront.

      Like even 5 minutes of tinkering captures why this isn't anymore like BERT or any past classification model than ChatGPT is like those old Markov Chain generators, yet folks cannot shut up about how this is nothing new.

      Absolutely scary and makes me wonder how much of the field is just people super confidently discrediting otherwise promising/interesting directions for development for a cheap dunk!

      1. kingkongjaffa · · focus · HN ↗
        Hey I am clueless, how do I learn more?

        Why is Jev fundamentally better than classification models like BERT or traditional ML?

        Happy to read a written response or if you suggest a prompt to put into my LLM to get it to research and explain the relevant details.

        1. BoorishBears · · focus · HN ↗
          Please see my other reply, I was not exaggerating when I said this feels like asking why ChatGPT is different than a Markov Chain.

          You're going to post-train 100s of instances of BERT? Traditional ML had world knowledge more than a fart?

          The closest/fairest comparison is still an LLM, but no one has actually chucked enough compute at post-training to make a better Jev yet.

          I'm sure in more time that'll happen, and so my excitement is expanded to Jev-like things... but so far most Jev like things are this weirdly reactionary attempts to steal thunder: is it so bad if we have some team actually invest in a quality post-training receipe to compete?

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