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

> 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.

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...

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.

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.

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.

I'm curious what people are building with these models

How does JEV prevent distillation?

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?