An example of what's holding back general intelligence research • /r/artificial

Its interesting but ultimately to really'under' 'stand' language in a deep way, the systems will need representations based on lower-level (possibly virtual) sensory inputs. That is one of the main enablers for truly general intelligence because its based on this common set of inputs over time, i.e. senses. The domain is sense and motor output and this is a truly general domain. Its also a domain that is connected to the way the concepts map to the real physical world. So when the advanced agent NN systems are put through their paces in virtual 3d worlds by training on simple words, phrases, commands, etc. involving'real-world' demonstrations of the concepts then we will see some next-level understanding.