ElastOS 用 Jev 做本地轻量决策
把 Jev 当打分式决策模型，在本地判断哪个 app 处理请求、过滤垃圾、给 agent 选下一步。
Jev and Laya open up a powerful possibility for ElastOS, AI that doesn’t always need to think big to act smart. We can now see our own sovereign computer deciding which app should handle a request, filtering spam, sorting your library, or helping your agent choose its next step, locally, quickly, and without sending everything to a giant model. Laya is an open-source (Jev) decision model that scores options rather than generating paragraphs. That makes it a promising fit for lightweight, frequent decisions inside ElastOS. The bigger vision then is supporting a sovereign computer where AI agents can choose what to do, runtime via you controls what they’re allowed to do, and your data stays under your authority. From smarter assistants to AI-powered games, this can make the World Computer more responsive, private and useful, one capsule at a time. It still needs testing in our environment. But it’s exactly the kind of capability i'm excited about exploring as the base network OS layer settles. elastos:native