WHAT NEW IN X10.31 SAT

X 上的 AI 合集档案 · 22 个合集 · 61,986 条

jevVIDEO

同一问题两种输入,Jev 置信度从 0.61 跳到 0.93

作者实测:把结论式状态改成证据字段后,Jev 对「下一步该谁干活」的判断置信度从 0.61 升到 0.93。

kiruwaaaa
@kiruwaaaaaa14 天前收录原推发布于 2026.10.15
kiruwaaaa @kiruwaaaaaa原推发布于 2026.10.15
在 X 上打开原推

i asked my agent the same question twice and got two different answers. the only thing i changed was how i wrote the input 0.61 became 0.93 the question: which worker runs next > vague state ("research_done": true): jev says write, p = 0.61 > separate evidence fields (sources_found, gaps, last_error): jev says research, p = 0.93 nothing else changed what actually got me is that the state matters more than the question. we rewrite prompts for hours and hand the model a conclusion instead of evidence the rule i use now > policy goes in the instructions and the option text > evidence goes in the state, not conclusions > pass last_error and the sources found, never "done": true > act on high confidence, review the middle, escalate the low illustrative example from a public test. confidence is not accuracy, so calibrate your floor on your own labeled examples save this before you build your next router what's the vaguest field in your agent's state right now? full stack in the article below ↓

这条是引用着另一条写的:x.com/kiruwaaaaaa/status/2109593981122195661

x.com/kiruwaaaaaa/status/2110694226388308187采集于 2026.10.16 10:05