Why does Layer Normalization matter for AI governance?

The technique is applied twice per Transformer block — once before self-attention and once before the feed-forward network — in modern pre-norm Transformer architectures (the post-norm variant from the original 2017 paper has fallen out of favor due to training instability at scale). The