Safety2d ago
Safety
Analyzing Substrate-Sensitivity in AI Safety
The MoSSAIC project examines how specific physical or digital implementations of neural networks affect their computation. This research links substrate details to safety risks, specifically highlighting LayerNorm's role in the "Hydra effect" of self-repair. Practitioners can use these findings to better predict how hardware or architectural shifts compromise model stability.