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用 Jev 做类型化决策让 LLM 降本 350 倍

作者把模型路由、下一步动作、风险拦截、完成判定都交给 Jev 的 Choice,只让 Claude 写文字,称万次决策仅 0.42 美元。

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@thegreatest_sv2026.10.01收录原推发布于 2026.09.30
kiosa @thegreatest_sv原推发布于 2026.09.30
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nobody is talking about this and it's insane A Carnegie Mellon University researchers have found a way to use JEV to make your LLM run 24/7 at a lower cost in x350 the LLM only does what needs words. everything else is a typed decision: > which model? Jev routes every task to a tier before a single token is spent > who acts next? one Choice picks the next worker keep or drop? every tool output checked, the noise dropped > risky? anything that sends, pays or deletes gets flagged before it runs > done? Jev checks the goal is actually met, not just "looks finished" > Claude writes research notes and drafts, the only place in the whole folder where text gets generated hard rules: stop after ten actions, never publish anything unapproved > receipts: options offered, chosen id, re-check, fallback, every call logged > the thresholds come straight from my own evals: act only on confident answers, fraud needs 0.95, tuned on dozens of labelled traces and the fees are the whole point > Jev: $0.42 for 10,000 decisions > median: 300 ms per call a whole day of decisions on a frontier model costs dollars. the same day on Jev costs cents you stop babysitting the agent. you read the receipts

这条是引用着另一条写的:x.com/thegreatest_sv/status/2102802378378621355

x.com/thegreatest_sv/status/2105269482813809085采集于 2026.10.01 10:03