The MoSSAIC project identifies how specific hardware and software implementations affect neural network computation. This substrate sensitivity can compromise safety, specifically through phenomena like the Hydra effect during self-repair. Groundless researchers argue these physical implementation details unify several safety risks. Practitioners must now account for how underlying substrates alter model behavior.