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- Hacker News
- by kouteiheika
- Yeah, real Jev got really weird, no benchmarking clause. Their Terms of Use (1(v)) and MCA (2.3(f)) both prohibit users from publishing "benchmarks or performance information about the Services". No major AI has it; we are back to Oracle-style legal.
Though Jev is original, it looks highly replicable.
by jakozaur - Jev is such a different approach where you have to be specific about what you want and which options are open. Really interesting how those things evolve in usable features for people.
Also with this example the speed of new launches based on a launch is just incredible.
by lucfranken - Is it only me or do others also find LLM generated websites so off-putting?by kul_
- These one shot vibecoded sites are always a complete visual headache. Endless clutter, pointless filler text all over the place, and zero regard for actual usability.by prodigycorp
- I don't understand how this is different from oai "structured output" (and whatever the similar paradigm was on Sonnet ~3.7 back then) which everyone moved on from. On their gh they say:
"Jev is TypeSafe's closed service for runtime-defined semantic decisions. This project reproduces that interface pattern with open models; it does not reproduce Jev's undisclosed model or training"
As someone else pointed out it isn't actually Jev... can someone enlighten me
by wuhhh - You might also be interested in "Open-sourced jev architecture last year with model,paper and dataset"
https://news.ycombinator.com/item?id=49736660
https://www.reddit.com/r/LocalLLaMA/comments/1wjieap/made_th...
Papers: https://arxiv.org/abs/2503.23303 https://arxiv.org/abs/2510.01237
Model: https://huggingface.co/DeepMostInnovations/sales-conversion-...
Dataset: https://huggingface.co/datasets/DeepMostInnovations/saas-sal...
by corysama - If you want to try a _legit_ Jev implementation that matches (at least in my evals), the vLLM patch to turn DiffusionGemma into Jev is available.
On my DGX Spark I get very similar latency numbers, and it matches my evals + or - a few points on each test (DG wins some, Jev wins some, both show low confidence when wrong).
I ran the same evals against a Qwen36 and it clearly lost to both of them, so you are leaving both knowledge and instinctual reasoning on the table with any smaller models, FWIW.
by mmastrac