Symbolic AI vs Neural Networks • r/artificial

This reminds me a bit of what /u/sixwings used to say. I think the idea was that (most) neural networks were still basically just rule-based systems and that they all used supervised learning (even the reinforcement/unsupervised learning ones). I will also note that often the network's inputs and outputs are symbolic in the sense that we associate them with local and (somewhat) interpretable meanings (although this is a bit more debatable for things like pixels). Under all of this lies a question of what "a GOFAI approach" is. Neural networks have certainly been around for a very long time, so someone could say they're old(-fashioned), good and AI...