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AI Comes for the If Statement: Specialized Deciders Cut Classification Cost ~100x

1 report1 sourceupdated 8 days ago

What happened

Summary

Tomasz Tunguz 拿自己生产环境里 98 封邮件实测了两款新工具 Jev 和 SemIf。它们不生成文字,只跑一遍注意力计算就直接输出选项概率,几百毫秒出结果。分类准确率从原来通用模型的 47% 跳到 80% 以上,单次调用成本降到 0.0004 美元,比顶尖大模型便宜 76 到 209 倍。Tunguz 认为这标志着 AI 路线开始分叉:前...

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Sep 21
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    AI Comes for the If Statement: Specialized Deciders Cut Classification Cost ~100x

    Tomasz Tunguz tested Jev and SemIf on 98 production emails: classification accuracy jumped from 47% to over 80%, cost dropped to $0.0004 per call—76x to 209x cheaper than frontier models. These deciders skip text generation, run attention once, and output choice probabilities in hundreds of milliseconds. Tunguz sees this as a bifurcation: frontier models for discovery, specialized models for production, with if-then as the first optimized programming primitive.