The ChatGPT moment in 2022 taught AI to talk to people. One of its builders now bets the next moment is AI that talks to software, not people. TypeSafe AI released Jev . Jev is transformer-based, but it is not a large language model. It does not generate text. You send a state and typed questions. It returns typed decisions with probabilities that code can branch on. Is it deployable? Yes, as a hosted API in early access behind a waitlist. TypeSafe has not published weights, a parameter count, or a self-hosting option. What is a System One Model? The name borrows from Daniel Kahneman’s split between fast intuition and slow reasoning. TypeSafe team argues RLHF tuned models for human preference. That produced chat, and overconfidence and mode dropping. Those flaws keep a human in the loop. Jev uses a new stack: a new architecture, a parallel sampler, and Reinforcement Learning for Calibrated Decisions (RLCD). TypeSafe has not disclosed the architecture. How the Jev API Works One endpoint handles everything: POST https://api.typesafe.ai/v1/systemone . The body carries state , model , and a map of questions . The docs define 3 question types. Primitive Asks Returns Choice Pick 1 option from a list choice , probabilities , confidence Score Rate against ordered levels score , probabilities , confidence Noul Is this statement true? noul , a probability from 0 to 1 Questions run in parallel and in isolation against the same state. TypeSafe says adding questions barely changes response time. A Choice supports up to 255 options. Copy Code Copied Use a different Browser from typesafe_
Source: MarkTechPost