Neosigma 用 Jev 做 agent 轨迹验证器

Ritvik Kapila @ritvikkapila原推发布于 2026.09.27

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The cost of verification sets a ceiling on how much agents can learn from production. When you can only afford to evaluate a small sample, most of that experience goes unused. Cheap, fast verification raises that ceiling: more failures discovered, more representative evals, and more feedback to improve the model and harness. At @neosigma_ai, our work with Jev makes us optimistic about a future where learning from production is a continuous part of how agents operate. Across 10,000 verifier decisions, Jev was 6.2× cheaper and 34× faster at median latency than GPT-5 Mini, with 88% versus 85% agreement with human labels in a blinded 100-trace audit. full blog here - https://neosigma.ai/blog/verifying-agent-traces-at-scale-with-jev

这条是引用着另一条写的：x.com/gauri__gupta/status/2103907582977147113