It would be more charitable to say that current ML/NLP approaches have orders of magnitude less understanding than humans. The ML/NLP process just jumps straigh

It would be more charitable to say that current ML/NLP approaches have orders of magnitude less understanding than humans. The ML/NLP process just jumps straight to the correlated answer, which a human would do, but then use higher order reasoning - "wait mars? that wasn't where he set foot". This to me is similar to current autonomous driving limitations. The cars can only respond to situations they have seen before. Any novel elements lead to failure, where a human can fall back on higher order reasoning: "That is a stoplight yes, but it is on the back of a truck, ignore it" (real example)