The MoSSAIC project identifies how specific hardware and software implementations affect neural network computations. This substrate sensitivity unifies several safety-relevant phenomena, including the Hydra effect in self-repair. Researchers argue that implementation details can compromise safety unexpectedly. Practitioners must now account for these low-level interactions to prevent unpredictable model behavior during system recovery.