Jev launches: a System One model for decisions
TypeSafe founder Diogo Almeida introduces Jev, its RLCD training method, and its focus on software decisions. The post includes a 2:56 launch video.

Manthan Gupta calls Jev one of the more interesting recent model launches because it asks a simple question: why use autoregressive LLMs as insanely expensive if-statements in software? He contrasts this with the LLM text-to-token generation approach.
Jev is one of the more interesting model launches I have seen recently because it asks a very simple question: Why are we using autoregressive LLMs as insanely expensive if statements inside software? The easiest way to think about it is: LLM: text -> generate tokens