> A plausible requirement for artificial general intelligence is that many users will be required to train the same giant neural network on a multitude of tasks

> A plausible requirement for artificial general intelligence is that many users will be required to train the same giant neural network on a multitude of tasks. This is the most efficient way for the network to gain experience, because such a network can reuse existing knowledge instead of learning from scratch for each task. Is this the hypothesis or already well-known? I'm not so sure if one giant DDN is better than a multitude of localized and specialized DDNs.