Agreed. To date, Deep Learning has accomplished outstanding levels of discrimination and classification by combining supervised learning with probabilistic pat

Agreed. To date, Deep Learning has accomplished outstanding levels of discrimination and classification by combining supervised learning with probabilistic pattern matching. But it's widely acknowledged that most human learning is unsupervised and relies heavily on building upon large hierarchies of facts, their interdependencies, and a deep reliance on causation, none of which DL has yet shown any real facility toward realizing. One-shot examples of one-shot learning doth not a facile brain make. Until DL shows significant progress toward these -- building knowledgebases and enabling their reuse -- and does so at the superlinear rate of development it's achieved for pattern recognition, I think it's likely that further development of the missing components of AGI will remain gradual and decades away.