Using Jev as a judge to verify outputs and trajectories in RL environments, making large-scale RL cheaper and faster.
Jev-as-a-judge🤝 RL Environment Verifiers 🤝 way cheaper + faster RL a lot of things in Agent World look like classification problems…including grading RL - many RL Tasks need a judge to verify pieces of outputs or trajectories - at scale this can be very expensive and slow
Gregor Zunic showcases an open-source browser agent combining Browser Use and Jev, finding flights in 7 seconds for $0.0039, using a new action space per step, DOM state space, and small LLM fallback for typing.
Scott Williams predicts custom Jev-style models (parallel constrained decoding) will make existing company agent systems more token efficient, creating millionaires.
The user praises the JEV model for its extremely fast reproduction of each movement and command, believing bots will become smarter as a result.
