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A perfect narrow score can still be the wrong general model

This story is from 2026-09-08. It is preserved in the archive; the latest stories are on the live feed.

A distilled Qwen3-4B specialist improved the file-operations hard gate from 58% to 100%. The same candidate reduced out-of-domain breadth from 59.6% to 42.3%. Publishing only the first number would make the run look like a general model upgrade. It was not. The candidate became a routed specialist:…

Read the full story at DEV Community — Machine Learning ↗

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  1. 2026-09-08 04:30 · DEV Community — Machine Learning
    A perfect narrow score can still be the wrong general model

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