Eight years of development have solidified the Transformer as the dominant architecture for generative AI. Community analysis shows a shift from experimental tweaks to a standardized set of structural primitives. This crystallization limits architectural volatility. Researchers now focus on scaling and data quality rather than inventing new core layers to improve model performance.