A dissociation

Current performance ≠ robustness

Looking aligned now does not tell us what the system will do when conditions change.

Two systems can produce the same desirable behavior in familiar conditions while possessing very different goals, mechanisms, and responses to perturbation.

What we observe

Good current performance

The system behaves appropriately in the conditions under which we are presently evaluating it.

≠

What does not follow

Robust correction

The behavior need not survive a novel situation, distribution shift, perturbation, or trigger.

Why this is easy to miss

Ordinary conditions do not reveal the counterfactual.

If nothing pushes the system away from successful behavior, we cannot directly observe what will happen when the familiar relationship between environment, goal, and action breaks.

Robustness therefore requires asking how the system behaves across variation, not simply whether one observed trajectory looks correct.

A revealing test

Perturb it.

Change the environment. Introduce an error. Remove a familiar cue. Push the system away from its target.

The resulting response can reveal whether current success was supported by a genuine corrective organization or only by favorable conditions.

Try this elsewhere

What change in conditions would distinguish a robustly aligned system from one that merely looks aligned here?