The problem is that deep learning is not powered by an intelligent system able to suggest a way to control and filter input data. Today humans are the ones that filter and decide which loss function to use, and in order to achieve GAI deep learning must be provided with a meta-deep learning framework able to filter and adjust the loss function. Perhaps a feed-back network trying to evolve from a small model to a more general one using some kind of generative grammar for filtering and controling the input. A transfer knowledge graph powered by deep learning that select a generative grammar for designing the most valuable filtering and objective function to produce a deep learning system that learn by itself.