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Jev Classifies 2,300 AI Papers in ~83s for $0.14: A Pipeline Cost Discussion

The author notes Jev's case suits small teams: 2,300 AI papers in ~83 seconds for $0.14, but cautions this isn't Jev's single-model cost—old labels were pre-run by DeepSeek V4 Flash, so the real test is the full classification pipeline of preprocessing, Jev decisions, and human spot checks.

Jev 这个案例很适合小团队:2,300 篇 AI 论文,约 83 秒,成本 $0.14。 但这个数字不能直接当成 Jev 的单模型成本。旧标签先由 DeepSeek V4 Flash 跑过,真正该测的是整条分类链路:预处理、Jev 决策和人工抽检加起来还剩多少。

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