Sakana AI's "Diffusing Blame" method trains Dale-compliant dual-stream excitatory/inhibitory networks without backpropagation, using Error Diffusion with non-negative weights and modulo error routing. The approach achieves 96.7% accuracy on MNIST and 61.7% on CIFAR-10 while avoiding weight transport and random feedback matrices.