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Solve for Happy is a startlingly original book about creating and maintaining happiness, written by a top Google executive with an engineer's training and fondness for thoroughly analyzing a problem. In 2004 Mo Gawdat, a remarkable thinker whose gifts had landed him top positions in half a dozen companies and who - in his spare time - had created significant wealth, realized that he was desperately unhappy. A lifelong learner, he attacked the problem as an engineer would, examining all the provable facts and scrupulously following logic.

Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does Intelligence frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works and the processed information reflects an imperfect world.

In 2001 Mo Gawdat realized that despite his incredible success, he was desperately unhappy. A lifelong learner, he attacked the problem as an engineer would: examining all the provable facts and scrupulously applying logic. Eventually, his countless hours of research and science proved successful, and he discovered the equation for permanent happiness. Thirteen years later, Mo's algorithm would be put to the ultimate test. After the sudden death of his son, Ali, Mo and his family turned to his equation—and it saved them from despair.