What is Jev and how is it different from existing AI models?

We needed a new class of models. The most accurate name we have come up with is system one models. The goal is for code to be the consumer. As opposed to large language models which are meant for autocomplete of the internet, or RLHF models which are meant to reply to text, Jev is designed to have its outputs directly consumed by code. Everything we do beyond the internals of the model is optimized for software. Jev is our first large programmable model. It is optimized for intelligence per dollar, which is where the name comes from, a reference to Jevons paradox. We are going all out on that tradeoff.