[KongchangAI]
Conceptversion drift

Version Drift

A common problem in software engineering referring to the gradual invalidation of historical measurements or configuration results as a system undergoes iterative versioning. This is particularly hazardous in AI evaluation contexts, where it can cause hidden discrepancies between published metrics and actual performance.

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Sep 17

Version drift is dangerous in evaluation scenarios because the validity of historical measurement results implicitly decays after changes to model weights, inference frameworks, or test environments

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