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jevVIDEO

用 Jev 置信度场按 0.85 阈值分流决策

把决策打包成 Choice/Score/Noul 问 Jev,置信度过 0.85 直接走代码,否则进人工队列,输出零成本。

Archimedes
@ArchimedesLore8 天前收录原推发布于 2026.10.21
Archimedes @ArchimedesLore原推发布于 2026.10.21
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WHOEVER LEAKED THIS JEV CONFIDENCE FIELD DESERVES A KEYNOTE SLOT I thought cutting agent cost meant switching to a cheaper model and hoping the output didn't drop too hard. Apparently not. This field's setup is much more interesting: → FIELD plots every decision's confidence against the 0.85 gate line in real time, no averaging, no percentile tricks hiding the floor → ASK packs the state into Choice, Score and Noul questions and sends it to jev with max_tokens_out=0, no generation anywhere in the loop → GATE routes anything ≥ 0.85 straight to code, below drops to a human queue with the raw answer attached, no silent escalation path → ROUTE acts on the typed label deterministically (phishing → quarantine, lead_quality → score pipe), the LLM never wakes unless the route calls it → HEADS LIVE tracks 7 channels at 60Hz against the baseline, flags 5 heads whose confidence drifted below the gate without ever asking a human so you get: Confidence plotted. Asks typed. Gates hard. Routes silent. the interesting part isn't lowering the gate. it's giving every decision a field where you can see the floor. Instead of paying for tokens that never leave the model, you run 12,556 decisions at $0.042 per million in, 260ms p50, output literally free, and the LLM wakes only when the route calls it. Plot the field. Ask the type. Route in silence.

这条是引用着另一条写的:「长文:如何搭好 Jev 驱动的 agent 技术栈」

x.com/archimedeslore/status/2112672661700542974采集于 2026.10.21 10:04