Jev 论文 Wikiracing demo：每步从上千链接里做类型化选择
介绍 Jev 在 Wikiracing 里的用法：每跳从页面已有链接中返回带概率的类型化选择，避免 LLM 编造死链，作者认为这种廉价可靠的分支可塞进工具路由和护栏的热路径。
the best model to come out this week is one that cannot write meet Jev they had a nice Wikiracing demo in the release paper. it's a game where you start on one Wikipedia page and try to reach another by only clicking links that already exist on the page. each hop: hundreds to thousands of Wikipedia links. pick one. do not invent a URL. repeat. - LLMs write a link and sometimes hallucinate a dead end (the error compounds) - Jev takes the current state, looks at the options you already defined, and returns a typed choice with probabilities. and the results speak for themselves zoom out and you can feel why this might be a paradigm shift in how we use models. A lot of software needs a reliable fork: which tool, which API, which row, which next action. If that fork gets cheap, typed, and fast, you do not run one careful agent, you spray decisions into the hot path. same shape as Wikiracing, applied to tool routing and guardrails
这条是引用着另一条写的：「ChatGPT 联合发明人发布新模型 Jev」