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jevIMAGE

Jev 上线三天:机票查询、千篇论文分类、500 封邮件实测

帖子汇总开发者用 Jev 做结构化判定的案例:0.0039 美元查航班、8 美分分类 1018 篇论文、3.5 美分整理 500 封邮件。

rvaniaaa
@rvaniaaaa2026.09.21收录原推发布于 2026.09.21
Jev 上线三天:机票查询、千篇论文分类、500 封邮件实测
rvaniaaa @rvaniaaaa原推发布于 2026.09.21
在 X 上打开原推

A company spent two years building an AI model, then launched it able to do less than almost any model that came before it. It cannot write a single sentence, and that's the entire reason people can't stop talking about it TypeSafe AI's Jev refuses to generate text on purpose. The founder co-invented RLHF at OpenAI, then spent two years realizing something the rest of the industry still hasn't: most of the small decisions inside an agent were never writing tasks in the first place is this ticket urgent. which of five teams should own this. did the test actually pass. every one of those has exactly two or three valid answers, and for years, all of them got routed through a model built to generate language before landing on a word it could have returned instantly within three days of launch, developers were already proving exactly what that habit had been costing everyone. one found real flight results for $0.0039. another classified 1,018 research papers for eight cents total. a third sorted 500 real emails for three and a half cents. none of it used generation. all of it used a model returning nothing but probabilities against answers someone had already defined here's what should actually bother you about your own agent's bill. the expensive part was never the hard, creative work. it's dozens of tiny yes/no checks wearing a full paragraph as a disguise, billed at the price of language for an answer that only ever had two or three shapes to begin with you're still paying for a paragraph every time your agent could have just said yes full breakdown below

这条是引用着另一条写的:x.com/rvaniaaaa/status/2101709732314558639

x.com/rvaniaaaa/status/2101743850729451846采集于 2026.09.21 10:14