// Link · 18 March 2026

Measuring Catastrophic Forgetting in AI

Catastrophic forgetting occurs when neural networks lose previously learned knowledge while acquiring new tasks. This section outlines three core ways to measure it: retention (performance drop on old tasks), relearning (speed of reacquisition), and activation overlap (shared internal representation...

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