You could have invented transformers from memory — a first-principles derivation
speckx · hn · 2026-10-17
A long-form technical post on alexwang.ai derives the Transformer architecture step by step from associative memory, showing why attention, residual connections, LayerNorm, and other components are natural design choices. A first-principles walkthrough for readers who want to understand why the architecture looks the way it does rather than memorize it.
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