@pauliusztin_: One model per agent might eventually feel like a weird design choice. Different moments in the same agent run require c…
Summary
作者认为为每个智能体固定绑定单一模型将显得奇怪，因为同一次智能体运行中的不同环节需要不同的智能水平，简单任务保持低成本，困难决策则临时调用前沿模型，使智能体呈现异构化而非模型本身同质化。
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Cached at: 10/16/26, 02:43 PM
One model per agent might eventually feel like a weird design choice.
Different moments in the same agent run require completely different levels of intelligence.
The easy parts can stay cheap.
The difficult decisions can temporarily borrow a frontier model.
So the agent becomes heterogeneous rather than the model.
Image credits: Claude Blog.
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