[kvetching]

I feel that most people that were "working in AGI" are having trouble coming to terms with the success of deep learning. They are still grasping at straws and saying it still can't learn, can't generalize beyond it's training data, they're not robust or reliable etc... Problems that can be overcome.

People like Ben Goertzel believe that GOFAI / Symbolic AI is going to be revived from the AI Winter era like how deep learning was. Here's a recent quote from his Twitter: "LLMs are very powerful and will almost surely be part of the first system to achieve HLAGI. I suspect more like 20% than 80% though...."