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It's similar to this: https://openrouter.ai/blog/announcements/fusion-beats-fronti...

Basically, if you combine a bunch of near-frontier models (like GPT 5.5, etc) you can get performance that sometimes surpasses top line models like Claude's Fable.

Sakana seems to have a separate approach using a domain specific model to perform the model routing step.

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But it's priced the same as frontier models. Why do I not directly pay for frontier models?
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This is a charitable read, but I think that being able to pick from a panoply of models will actually yield much better results in the long run.

The same model that has been post-trained to operate for hours as a Linux admin will be incapable of writing a heartfelt email, but with something like Fugu, you'd get both the Linux admin for driving the browser harness and the smaller writing specialist model for drafting the email itself.

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u get a pool of them + sakana?
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So plain old ensemble technique in classical ML.
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