Should We Skip Diffusion?

AI agents can determine correct actions but lack execution authority, necessitating a framework where AI proposes, systems verify, and infrastructure executes to prevent direct execution risks. Simultaneously, in image generation, the Decoupled Diffusion Transformer (DDT) uses condition encoders for denoising. To improve the capture of abstract structures and low-level details, the proposed DDT-RFE removes residual connections around Self-Attention, addressing limitations in progressive abstraction and feature disentanglement found in standard skip connections.