Stanford Prof. @chrmanning says today’s AI can absorb 2,000 years of human knowledge and still be far worse than humans at learning from just a few examples: "No matter how fantastic these systems are, there's still a lot we can't do. A lot of it looks better than it is because these huge models have been able to slurp up 2,000-plus years of human learning across all domains and stick it all in one huge neural net." "That's amazing because it knows everything to a first approximation. But…