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Clude 用 Jev 降本后决定自研记忆模型

Clude 团队称用 Jev 显著削减成本,正自训记忆模型先过滤噪声再喂给 Jev,并借 TypeSafe 融资消息宣布继续自建。

seb
@sebbsssss20 天前收录原推发布于 2026.10.10
seb @sebbsssss原推发布于 2026.10.10
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Todays JEV announcement couldn't have come at a better time. We've been thinking about what's next for us. Congrats to Diogo @CompleteSkeptic and @typesafeai on raising $870M at a $7.5B valuation! We've loved using JEV at Clude. It's helped us cut costs significantly and got us thinking about building further on our own Clude memory model to filter out the raw noise before passing data to JEV. Through fine-tuning our own model we soon realized how expensive training a niche high performance model could be. But we also discovered just how good our own memory model was becoming at doing exactly what we needed to save on costs! What started as a way to solve our own problem has turned into something we think is worth pursuing. Back to building!

这条是引用着另一条写的:x.com/completeskeptic/status/2108594987177021737

x.com/sebbsssss/status/2108884790623769020采集于 2026.10.11 10:06