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How machine learning systems sometimes surprise us


This simple spreadsheet of machine learning foibles could not seem like a lot nevertheless it’s an enchanting exploration of how machines “suppose.” The listing, compiled by researcher Victoria Krakovna, describes varied conditions by which robots adopted the spirit and the letter of the regulation on the identical time.

For instance, within the video under a machine studying algorithm realized that it might rack up factors not by participating in a ship race however by flipping round in a circle to get factors. In one other simulation “the place survival required power however giving delivery had no power price, one species advanced a sedentary way of life that consisted largely of mating with a view to produce new kids which may very well be eaten (or used as mates to supply extra edible kids).” This led to what Krakovna referred to as “indolent cannibals.”