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this post was submitted on 09 Jul 2026
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A common cause of this kind of problem is lots of people simply default to whatever the "best" model is and throw every problem at it. The best model can handle those problems, sure, because it's the best model. But it's also the most expensive model.
A better strategy is a multi-model agent that breaks tasks down into smaller sub-tasks and then uses the minimal model that can manage each of those tasks. The high-level program architecture can be figured out by Fable 5 or whatever, but then each of the functions and classes can be written by a cheap local model like one of the Qwens, for example. An AI that's been told to find correlations in a large corpus of documents could make use of a smaller model to analyze each of the documents to filter out the ones least likely to be useful and only actually "read" the most promising ones. And so forth.
This is something that's an area of very active development. The harness is going to be just as important as the model, if not moreso.