inner alignment

The problem or property of ensuring that a mesa-optimizer's mesa-objective is robustly aligned with the base objective used by the base optimizer, rather than merely producing high-scoring behavior on the training distribution. In objective-focused terminology this is the mesa-optimizer special case of objective robustness; the exact scope of inner alignment varies across authors and settings.