When The Training Data Cutoff Becomes A Ranking Factor

Every AI system serving answers today operates with two fundamentally different memory architectures, and the boundary between them runs along a single invisible line: the training data cutoff. Content published before that line is baked into the model’s weights, always accessible, confident, and unreferenced. Content published after that line only surfaces when the model retrieves

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Published by searchenginejournal.com