Since GPT, nearly every Transformer repeats the same attention mechanism at every layer. Forty-eight identical blocks, differing only in learned weights. Nobody tested that. It is a convention, not a conclusion. A paper out of VIDRAFT AI Research ( arXiv:2609.20269 , CC BY 4.0) tests it, and the interesting part is not the headline. The headline is placement is free, composition is not . The interesting part is what happens when you read the ablation table. The confound that...