Moving from narrow AI to more general AI is a reasonable next step that requires reason. Current deep learning AI-based models are excellent at identifying objects without understanding a thing about them. Symbolic AI gives us a way to capture common sense reasoning and domain knowledge about those objects. This talk examines symbolic neural learning AI systems, which may be the next natural step on the path towards artificial general intelligence.