Jev, a System One decision model from an ex-OpenAI researcher, raises a $40M seed
After two stealth years, Diogo Almeida's Jev returns typed decisions with calibrated probabilities instead of generating text, running far faster and cheaper than an LLM, with a $40 million seed led by DCVC and no independent evaluations at launch.
SITUATION EXPLAINED: "Models have been superhuman at chat for years, so where is all the automation?" • Diogo Almeida spent years at OpenAI on the instruction-following work behind ChatGPT, then two years in stealth building an answer • His model, Jev, takes unstructured state and returns typed decisions with calibrated probabilities, in one parallel pass rather than token by token • It cannot generate text at all • They call it a System One Model, after Kahneman's fast intuitive thinking • It runs 20 to 200x faster and 40 to 400x cheaper than an LLM, at $0.042 per million input tokens with output free • $40 million seed led by DCVC. No independent evaluations at launch @sophiadew: "Maybe we don't need another general purpose model to just talk and talk and talk. We just need something that's really good at not hallucinating and making better decisions."
This post quotes another post: “ChatGPT co-inventor releases Jev, a model built for decisions rather than text”