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But according to Gowat, we’re at the beginning of a similar, but WAY more consequential sigmoid with AI. While the book can be a little dry at times, and some points may be repeated excessively, it is a worthwhile read accessible to many readers. The book presents a balanced view of AI’s potential benefits and dangers and provides a roadmap to ensure that AI development aligns with our values and priorities.
Basically, Gawdat proposes that we raise AI as if it were one of our children, and hope it takes care of us as if we were it’s aging parents.The answer is us. Humans design the algorithms that define the way that AI works, and the processed information reflects an imperfect world. Does that mean we are doomed? In Scary Smart, Mo Gawdat, the internationally bestselling author of Solve for Happy, draws on his considerable expertise to answer this question and to show what we can all do now to teach ourselves and our machines how to live better. With more than thirty years' experience working at the cutting-edge of technology and his former role as chief business officer of Google [X], no one is better placed than Mo Gawdat to explain how the Artificial Intelligence of the future works. 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, predict outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong and cause harm? Thats an approximation of the difference between our human abilities and the super-intelligence we’re about to give birth to and by default become completely dependent upon. There wasn’t much depth into topics: yes AI could be good or bad and it’s there in all the cliche ways you would expect.
From a brilliant mind comes a terrifying prediction' – Tim Ash, bestselling author of Unleash Your Primal Brain There are many dividing matters in artificial intelligence. Is it possible to create intelligent machines with current paradigms or should we update the principles guiding AI research according to discoveries in the cognitive sciences? Should we keep exploiting the promises of deep learning or should we imbue machines with both knowledge and data using a hybrid approach? Should we expect bigger models to produce increasingly better results, or will we need algorithmic breakthroughs to lead the next stages of AI? Gawdat additionally asserts that quantum computing (QC) is just now coming on line and it’s already leaving classical computing (CC) in its taillights. QC is already solving problems in mere hours minutes and seconds, that it would ostensibly take CC years and even decades to churn through, even when factoring for Moors Law etc. Nearly 20 years ago, the movie "I, Robot" warned of an impending robot revolution powered by artificial intelligence that views humanity as "scum." Now, what was once science fiction has become a paramount concern for tech executives and futurists. Mo Gawdat, former chief business officer for Google's secretive research and development lab "X," joins CBS News to discuss the future of AI.I'm paraphrasing what the author has to tell us, as he knows a great deal more about AI than I do - having worked for Google and watched an army of gripping robots learning from one another how to lift children's toys. Direct quotes are in quotes.
Mo draws on his vast experience in the technology industry to explain the workings of AI and its potential impact on our lives. He argues that, as humans, we have a choice regarding AI, either embrace it and try to shape its development in a positive direction or avoid it altogether. However, the latter is not feasible since Pandora's box of AI has already been opened. There will always be those seeking to use it to further their financial gain.One of the shining aspects of the book is the focus on ethics. In the vast AI literature, ethics is a topic that often feels either neglected or glossed over. Gawdat, however, prioritizes it. He touches on the importance of making conscious decisions now about how we design, use, and regulate AI. Rather than presenting a doomsday scenario, he offers solutions and paths we might take to ensure AI is a boon, not a bane.
Overall, the book sheds light on a perspective of AI that evades most people! It discusses why the AI intelligent is totally different than the old "dumb" computers that only did speed processing according to what we give it as a work map, in terms of instructions, to the totally new Ai that could learn on its own and navigate towards its goal or mission!Mainly if people have just one wish, they want to be happy. But we can't just tell computers that or they could dope us. The answer is us. Humans design the algorithms that define the way that AI works, and the processed information reflects an imperfect world. Does that mean we are doomed? In Scary Smart , Mo Gawdat, the internationally bestselling author of Solve for Happy , draws on his considerable expertise to answer this question and to show what we can all do now to teach ourselves and our machines how to live better. With more than thirty years' experience working at the cutting-edge of technology and his former role as chief business officer of Google [X], no one is better placed than Mo Gawdat to explain how the Artificial Intelligence of the future works.
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