Eight years of development have solidified the Transformer as the dominant AI architecture. Researchers now focus on refining attention mechanisms and efficiency rather than seeking a total replacement. This stabilization suggests a shift from fundamental discovery to engineering optimization. Practitioners should prioritize scaling and data quality over searching for a new architectural paradigm.