@ver89.eth
Layer normalization analogy
Deep networks use normalization to keep activations in a workable range.
Without it, small distribution shifts can compound across layers.
Software systems face the same problem.
As complexity grows:
inputs drift
dependencies change
assumptions break
Good architecture continuously normalizes the system through clear interfaces, validation, and stable contracts.
Scale without normalization creates instability.
#ai #deeplearning #layernorm #systems #devthoughts
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