Thread

1. bruhhhhhh · 1790166081 · focus · HN ↗

   I am hearing about Jev for the first time here so no idea about the hype. So their(Jev) is that the thing is faster at classification than a frontier model? Because the whole type safe aspect is already fully solvable with structured output. But their example is classification but that would also be possible and faster with a classic BERT model. So their pitch is a task specific smaller model or am I completely misunderstanding the whole thing?

   1. Keyframe · 1790167052 · focus · HN ↗

      no one knows but everyone pretends so go along with it.

      1. KaiserPro · 1790169472 · focus · HN ↗

         I'm getting flashbacks to when everyone was doing map:reduce for things

         1. sanderjd · 1790169711 · focus · HN ↗

            I mean, the obvious analogy is to other llm hype cycles. When chatgpt came out, everyone wanted to figure out how to use it for everything. Turned out it really was good at a lot of things, while still being overhyped. Same thing when chain of thought models hit the scene. Same thing with coding harnesses. Same thing now.

            My base case is that this will probably be pretty useful, and also not as useful as the current hype suggests.

            1. Keyframe · 1790174909 · focus · HN ↗

               there's some nugget of usefulness to it as an idea, but overall jev itself for some reason smells like a scam. scam in a sense of an engineered marketing push towards some bs that will turn into a saas. technical merit is next to none.

Unofficial Hacker News client; not affiliated with Y Combinator.