We know that the current top performing models (e.g. Transformers) have components that strongly inspired by different mechanisms in the biological brains (NNs, ReLU). Do these models perform the best, especially when it comes to generative use cases, because the goal is generate the same type of data that the brain generates and thus you need to create a model that resembles a brain in order to generate it?