Eight years of development have solidified the Transformer as the dominant architecture for generative AI. Most current innovations now focus on optimizing attention mechanisms rather than replacing the core structure. This stability allows researchers to prioritize scaling and efficiency. Practitioners should expect incremental refinements to this framework over fundamental architectural shifts.