We’re releasing Jev 1.14.0 along with experimental features for dreamers

benaduggan

So they held back a bunch of features because they knew they had basically no moat, and now they're trickling out a bit more functionality to try to convince people they are better than others and move fast? And using Apple advert slogans to show how cool they are?

yipinwong

Sounds like an incremental change with context size change, new "box" type, and composable images. As it's minor change did not expect much, but having a higher context helps for sure. I will own the errors for passing bigger context.

nico

In case you need something a bit more lightweight, or want privacy. You can get amazing (better in a lot of cases) accuracy and performance from local models that run and train on CPU: https://jeffyclassify.com/blog/when-llms-fail-at-classificat...

matt3210

How does JEV prevent distillation?

tyushk

Cool to see another model with support for bounding boxes on images. Really wish to see segmentation in a future release; Gemini 3.5 Flash-Lite is mandatory in my use case as it's the best model for semantic image segmentation in my experience.

hexasquid

I'm curious what people are building with these models

jjcm

> Warning: AI benchmarks. Please don't trust them I like that they're being up front about this. Benchmarks are a metric that can be gamed. They give you an approximate estimate of where things land, but you really need to test for your use case.

jofzar

Interesting way to release this, I'm not sure how to say this, but this has a real "enterprise"/old school taste to it verses how all the other models/AI companies are releasing things. Very refreshing.

kypro

I'm aware this is an unproductive comment, but why are all their releases so cringe? It's like they're written by a Reddit mod or something... > For the builders AND dreamers > Enter the danger zone at your own risk. > Size does matter, apparently > We’re trying something new out here: we’re going to treat you guys like adults > Lots of people love to ask what kind of sci-fi we’re releasing next That said, their docs are great and don't seem to include all the Reddit cringe.

120bits

Slightly unrelated, but I really like the website styling. Looks like an improved version of Linux From Scratch dos.

dwa3592

If you want a local alternative; I added image support to OpenDecision three days ago - https://github.com/deepanwadhwa/OpenDecision Videos will be next.

Havoc

Nice release post

AftHurrahWinch

Going from "I'll need a research team and 5 years" to Jev-based bird classifiers in just 12 years is really nice. I'm happy that some problems get easier, and I'm happy that people make things and share their work so we can all benefit. [0]: https://xkcd.com/1425/

MisterMunchkin

I have to admit, despite my initial scepticism of Jev, it is actually pretty fucking good at making decisions. I’m trying to break it with weird situations and I just can’t. And it’s so cheap!

computerex

Shameless plug to my own inference engine: https://github.com/computerex/dlgo - Inference for a bunch of open weights architectures - Diffusion image generation fir Z ai turbo - Vision input into LLM for inference - Vulkan/fast CPU, optimized kernels - Playground for testing - Last but not least, system one fast inference mode with same API semantics as Jev Decision models work by using a backbone model like qwen 3.5 9b, along with a special linear head that provides the readout for the forward pass.

shepardrtc

If you're looking for a decent local model, JevK5-4B is excellent. On my own benchmark for the things I work with (seeing if the answer to a question was correct given the evidence that was provided), it was within a point of jev.

vessenes

A lot of the week 1 Jev demos involved getting image data into it somehow, via description I guess? Should be interesting to see what we get with 100ms latency decisions on visual inputs. To me the latency / response time is just a huge game changer -- one to two orders of magnitude more responsiveness opens up a large design space.

aliasxneo

> Surprise: the Jev you all know and love (jev-1.13.0) was multimodal all along! It really feels like they're just admitting that they had it disabled because they needed investors to subsidize turning it on.

cat-whisperer

the discord jam was awesome! kudos to these guys!!

mythz

For anyone interested in a GUI around Jev I built Decision Studio for experimenting with it in our self-hosted OSS llms.py [1] You can define tasks like sentiment analysis, support triage, or claim support, tweak the questions and criteria, and inspect the answers and probability distributions. You can also import existing recipes, save examples, and share recipes with recorded results. An OpenRouter API key is required to use Jev. [1] https://llmspy.org/docs/features/decision-studio