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Jev 实测:比前沿 LLM 快 40–200 倍

Jev 是 TypeSafe 的 System One 模型,输入上下文后返回 choices、scores、probabilities 等类型化决策,适合分类、路由、打分、护栏和实时产品判断。

JRP
@jrp_gg2026.09.20收录原推发布于 2026.09.20
Jev 实测:比前沿 LLM 快 40–200 倍
JRP @jrp_gg原推发布于 2026.09.20
在 X 上打开原推

JEV IS BEST AI TO USE RIGHT NOW TL;DR: Jev is TypeSafe AI’s new “System One” model. Instead of generating text token by token like a chat LLM, it takes in context and returns typed decisions: - choices - scores - probabilities It's roughly 40–200× faster than frontier LLMs on comparable System One tasks. It’s not meant to write content or code. It’s built for things like classification, routing, scoring, extraction, guardrails, and real-time product decisions. Since the output is constrained to a schema, there’s no malformed text to parse, and it can even handle game-playing decisions. Video on this soon.

x.com/jrp_gg/status/2101341250502959315采集于 2026.09.20 10:10