A universal method to evaluate and optimize any imaging system using only noisy measurements of unknown objects, enabling efficient design optimization and evaluation of real systems where traditional approaches cannot be applied.

Bipartite mutual information in natural text exhibits sub-volume growth; from this, we prove a lower bound on how the history state must scale, setting a necessary condition for architectures to be effective at long-context language modeling.