Open-source laya-mlx runs Jev-style decisions locally at 7ms
The open-source laya-mlx runs Jev-style decisions locally on a Mac in 7-14ms using under 1GB of RAM, playing Snake at 60 moves per second as a low-latency System 1 for agents.
Open sourced "Jev " that runs 50x faster own Jarvis running locally now on mac 1GB RAM. 7ms per decision. laya-mlx : - 7-14ms decisions - under 1GB RAM - choice/score/yes-no, one forward pass, calibrated probabilities - no cloud, no tokens, no chat - 60+ moves/sec playing Snake on an M3 Max Now Why this hits? Agent loops die on latency and cost. If every “should I click, route, block, turn” takes 300ms in the cloud, you don’t get real-time control. 7ms local changes the architecture. This is System 1 for agents, Not another chatbot. A local brain that just picks the next action. - http://github.com/mizorewww/laya-mlx
This post quotes another post: “Open-source Laya claims to beat TypeSafe Jev on latency and calibration”