AINeutralarXiv – CS AI · Apr 107/10
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Information as Structural Alignment: A Dynamical Theory of Continual Learning
Researchers introduce the Informational Buildup Framework (IBF), a new approach to continual learning that eliminates catastrophic forgetting by treating information as structural alignment rather than stored parameters. The framework demonstrates superior performance across multiple domains including chess and image classification, achieving near-zero forgetting without requiring raw data replay.