Eight years of development have solidified the Transformer as the dominant architecture for generative AI. Recent discourse highlights a shift from raw scaling to refined efficiency and structural stability. This crystallization suggests that fundamental breakthroughs in model design are slowing. Practitioners should now focus on optimization over architectural pivots to gain performance edges.