斯坦福实验室用 Jev 前置过滤，Claude Code 只处理疑难数据
Jev 先筛掉无聊和显而易见的数据点，只把模糊样本交给 Claude Code，声称 9 分钟处理 650 亿条数据。
this is absolutely f*cking impossible guys. a Stanford research lab is using JEV + Claude Code to chew through 65B+ data points every 9 minutes. but Claude isn’t reading 65 billion things. that’s the whole trick. JEV stands at the door. every data point hits JEV first: > boring? drop it > obvious? handle it > uncertain? send it upstairs > only the weird, ambiguous stuff earns a trip to Claude. so instead of burning frontier-model compute on millions of easy decisions: 100B+ data points -> JEV -> tiny interesting pile -> Claude Code Claude gets to do what expensive models are actually good at: thinking about the hard stuff. it’s basically putting a ridiculously fast bouncer in front of your smartest AI. > JEV filters. > Claude investigates. > code executes. stop paying your smartest model to do the dumbest work.
这条是引用着另一条写的：x.com/thegreatest_sv/status/2102802378378621355