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Moravec's paradox: Why Artificial Intelligence makes the difficult easy (and vice versa) - Techidence

#artificialintelligence

One of the pioneers of artificial intelligence, economist Herbert Simon, said in the 50s of the last century that "in the visible future, the range of problems that machines can handle will match that of the human mind." At that time, it didn't seem like such a naive forecast: it had already been possible to make a computer play checkers and learn from its own mistakes. But Simon died in 2001 without having witnessed that technology that had seemed so close. Although we might think that if AI has already been able to overcome in very complex fields (such as playing Go) or show skills that we have never had (such as detecting the sex of a person through a photo of the interior from your eye), it should be easy to copy our most ordinary skills, the small day-to-day actions we usually carry out unconsciously. However, these skills (tying a shoe tie, moving with agility on two legs, being able not to collide while moving on the street and thinking about anything else, etc.) are not simple because they are an intrinsic part of who we are: as any physiotherapist could remind us, the ability to walk is not easy to teach even humans.