Tarik Moon previews SignalPilot Rev: rebuilding the outer loop of agentic business decision-making around jev's System 1 intelligence plus LLMs, with many parallel Jev runs exploring the context DAG and aggregating map-reduce style.
An early look at SignalPilot Rev: we are rebuilding the outer loop of agentic business decision making around System 1 intelligence of jev + llms. 1/ When your agent or you prompt: a large number of parallel Jev runs explore the context DAG and aggregate map-reduce style.
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.
