That's my hysterical take-away from this Technology Review piece on how one robot at Cornell taught a different robot at Brown to do a task it had learned.
I've mentioned a point on self-driving cars before: once you get a car to handle a new situation, it's done, unlike humans who even if they don't forget what they've learned, only imperfectly learned the lessons of their elders. So learning for robots is one baby step, then another baby step whereas learning for humans is one step forward, one step forward, one step backward, and then the grave.
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