7分钟视频拆解 Jev 决策模型怎么用
Caleb Writes Code 用 7 分钟讲清 Jev 的定位：不是聊天模型，而是夹在 agent 与模型、工具、浏览器动作、人工升级之间的决策层，含速度与 choice/score/null 原语。
Caleb Writes Code just dropped a 7-minute breakdown of Jev, a new type of AI model built for fast decisions, not chat: one Jev decision layer can sit between your agent and every model, tool, browser action and human escalation. 0% → 0:00 – Why Jev challenges how we optimize LLMs 25% → 1:48 – Speed: 40–200x faster, 70–500 ms end-to-end (per TypeSafe) 59% → 4:14 – Structured input, probability distribution as output 66% → 4:46 – The primitives: choice, score, null 91% → 6:34 – Why narrow, specialized models are a net positive A quick way to understand what Jev is actually for, and why it's not an LLM replacement. Watch it, then read article below
这条是引用着另一条写的：「Jev 作为 agent 决策层：毫秒级路由替代昂贵 LLM 调用」