Thank you for stating what should be obvious. I think there are two currently unsolved problems 1/ We have no idea what the reward function looks like that le

Thank you for stating what should be obvious. I think there are two currently unsolved problems 1/ We have no idea what the reward function looks like that leads to AGI 2/ Deep networks are artificially constricted for computational efficiency and always optimized to solve the problem at hand; Any solution that delivers AGI should rely imo on: 1/ reinforcement learning 2/ Happen with an unstructured reservoir of randomly connected neurons There was a research trend towards reservoir computing and recurrent neural networks but this was mostly abandoned because progress in deep learning was amazing. These techniques are akin to a 2D-plane in a 3D object, it's heavily simplified and circular references are prohibited. I have some good ideas on what the reward function should look like in a reservoir setting and happy to discuss them with any active independent researcher in the field.