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Chinese build note: GeekCatX now defaults to Jev for any speed-critical decision path, including image-vision inputs.

Notes

知识猫AI实验室 @GeekCatX

ZH

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兄弟们,JEV 这玩意儿,现在基本已经成我写任何工具的底层标配了。 但凡遇到需要加速决策、把速度往上提的场景,我现在不管三七二十一,先接上 JEV 跑一遍再说。 而且它现在连图片视觉输入都支持了,实测效果非常顶。 有图文判断、高光筛选或者流程卡点的,真建议直接把它当基础组件焊进工作流里,省时又省心。

About this case

Note, text only (zh). GeekCatX says Jev is now the default decision layer in their tools: for any speed-up path they wire Jev first, and image vision input works well in practice—recommend welding it into workflows for image/text judgments, highlight picks, or process bottlenecks.

Original posthttps://x.com/GeekCatX/status/2115000453864026165

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