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Jev 用于 computer-use:低置信度时交回 Opus

实测 Jev 驱动屏幕操作,常规步骤走快模型,置信度下降时把该步交回 Opus,形成快慢模型接力。

Sasha Malysheva
@aimalysheva2026.09.26收录原推发布于 2026.09.26
Sasha Malysheva @aimalysheva原推发布于 2026.09.26
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tried Jev from @typesafeai in a computer-use this week, and in comparison with it now watching Opus drive a screen is like watching your grandma use a laptop 😅 the part I liked most is what happens when confidence drops: Jev hands the step back to Opus, so the slow model only gets called when the fast one isn't sure -- I think that's the shape most agent systems end up in, a fast model for routine steps and a big one on call, and the handoff between them is exactly where I'd want the context to travel as latents rather than as a text summary of what the fast model just saw the premise underneath Jev is the same one we started @mostik_ai on: by the end of the forward pass the model already has what it needs, and decoding that into tokens is the slow and lossy step (the difference is that they read a decision straight off that state while we hand the state to another model) glad more people are building from the same premise 🔥

这条是引用着另一条写的:x.com/aimalysheva/status/2099153882081345788

x.com/aimalysheva/status/2103567966616875360采集于 2026.09.26 10:10