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by baobabKoodaa1 hours ago |
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upvoteby hbrn1 hours ago|
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> work on one specific problem, right? That is the opposite of "general purpose".

A business doesn't need Jev for the sake of Jev. Most business are solving specific problems.

And fine-tuning got a lot cheaper these days - I've seen claims here on HN that ~500 examples is enough to beat Jev.

> "nobody thought it's a good tradeoff", which again is false, there was huge demand for a cheap and accurate general purpose classifier

There wasn't. The hope is that there was a latent demand, but we've yet to see if it's truly latent or just manufactured.

Noone is saying "hell yeah, finally we got a general purpose classifier, my business needed it so much". The typical message is "this seems cool, let me see where I can apply it".

The fact that name itself is a play on Jevons Paradox illustrates that there was no demand until Jev was released.

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upvoteby baobabKoodaa37 minutes ago|
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Yes, businesses are solving specific problems, but most businesses have more than 1 problem to solve. No, it is not economical to pay a data scientist to develop a custom model for each of your tiny problems. It is often much more economical to use a general purpose solution, like an LLM, or now, Jev.
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upvoteby hbrn24 minutes ago|
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At this point there's no need to pay a data scientist. You can literally ask Claude to do everything for you: extract real examples, classify them, post-train a model, and ship an API.

Now, it could be viable if your business has literally hundreds of problems thats require classification. I just haven't seen those.

I treat the fact that almost noone was doing that as evidence that decision models aren't that useful/groundbreaking. That, and the fact that every single demo I saw was either fake (e.g. playing games), contrived, or plain wrong (e.g. using Jev for compaction).

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upvoteby baobabKoodaa14 minutes ago|
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No, we're not at the point where you could ask Claude to do all of that, unless you have a super easy problem to begin with and/or you don't care about output quality. Feel free to link a counter example.
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