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Tenacious robot ashamed of creator’s performance, shows mankind how it’s done (video)

Tenacious robot ashamed of creators performance, shows mankind how its done (video)




Looks as if researchers have made another step towards taking Skynet live: giving robots the groundwork for gloating. A Swiss team of misguided geniuses have developed learning algorithms that permit robot-kind to be told from human mistakes. Earthlings guide the robot through a flawed attempt at completing a role, akin to catapulting a ball right into a paper basket; the machine then extrapolates its goal, what went wrong within the human-guided example, and the way to succeed, via trial and error . Instead of presuming human demonstrations represent a role well done, this new algorithm assumes all human examples are failures, ultimately using their bad examples to assist the ‘bot one-up its creators. Thankfully, the hot algorithm is just getting used with a single hyper-learning appendage; heaven forbid it may ever the best way to use the robot-internet.

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