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Jev and the case for AI that chooses rather than generates text

A post discussing a technical explainer argues that Jev’s fixed-choice decisions could replace expensive general-purpose model calls for routing requests and checking risky commands.

1 Source, 20d ago, first seen 20d ago

TLDR

The post describes Jev as selecting from predefined options and returning confidence scores rather than generating free-form text. Summarizing the explainer, it stresses a key distinction: preventing malformed output does not prevent wrong answers. Jev can still choose the wrong allowed option. The post proposes accepting high-confidence decisions automatically, sending medium-confidence cases to a larger model for review and handing low-confidence cases to a person.

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1 Source, first seen 20d ago

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1 Source, first seen 20d ago

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1 Source

AGI House@agihouse_orgRT @AYi_AInotes: 这篇应该是这几天全网把 Jev 讲得最透彻、认知穿透力最强的一篇技术图解长文了,墙裂推荐!! 过去三年我们几乎把生成式大模型当成了手里的万能锤子, 哪怕面对一个最简单的单选判断, 也要硬生生调一次几毛钱的通用大模型。 技术大牛 @akshay…20d
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    1 Source

    AGI House@agihouse_orgRT @AYi_AInotes: 这篇应该是这几天全网把 Jev 讲得最透彻、认知穿透力最强的一篇技术图解长文了,墙裂推荐!! 过去三年我们几乎把生成式大模型当成了手里的万能锤子, 哪怕面对一个最简单的单选判断, 也要硬生生调一次几毛钱的通用大模型。 技术大牛 @akshay…20d
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