Isn't the point of Jev that it generalises better?

It's a fast classifier you can use out-the-box, ~1.5bn tokens is about $40 (I've been hammering it)

It just works ... a whole bunch of low-level/low-importance workflow stuff that was getting farmed out to small/fast LLM models now has a competitive alternative ... and bits that hadn't even been considered to go into some external descision/classifier service can be tested/deployed at ~$0.00003/req

I don't get this wall of negativity on it, it's genuinely innovative/useful tech ... would expect HN to be more positive, regardless of whether it's the absolute best execution

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digitaltrees 22 minutes ago | parent | next [-]

I think your point is valid but many are annoyed that it is presented as groundbreaking, revolutionary, novel frontier tech when it is a known classification system. It’s the hype that feels undeserved. Honestly it was one of the best marketing campaigns I’ve seen.

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shepardrtc an hour ago | parent | prev | next [-]

It really does just work. And it works so well I already integrated it into my product. Saves me about 75% of costs for the section its working in, which isn't a small amount. I see a lot of negativity and I don't really get it either. Its so cheap and so fast, why not give it a try?

	▲	DenisM 10 minutes ago \| parent [-]
		I think it’s the infamous Dropbox reaction - anyone can wrap an FTP server, where the innovation? Starting from a business POV one should inflate terminology, hack together an MVP, and see if the market demands it before doing hardcore R&D. But starting from technical/craftsman POV all you see is a hack and a lot of big words, so it’s easy to become jaded.

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not_a_bot_4sho 36 minutes ago | parent | prev [-]

I didn't see any negativity in the post you replied to.

I think the point being made is that Jev is great but it has no competitive moat, and open source versions will very soon catch up if their secret sauce is just synthetic data.

(Whether or not that is true, I don't know.)