Eight years of development have solidified the Transformer as the dominant architecture for generative AI. Most current iterations refine attention mechanisms rather than replacing them. This stability suggests a plateau in fundamental structural innovation. Researchers now prioritize efficiency and context window expansion over radical architectural shifts to improve model performance.