Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World

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Scary Smart" by Mo Gawdat is an engaging and thought-provoking book that explores the potential impact of artificial intelligence on humanity. The book is divided into two parts, with the first part delving into the potentially damaging implications of AI gone rogue. In contrast, the second part focuses on the benefits of AI if it is developed and implemented responsibly. Teach each other how to teach the AI. (This ought to be 'one another' as more than two people are involved.) There are only three things you need to know about artificial intelligence. First, it’s coming. Second, you can’t stop it. Third, it will be smarter than humans. His perspective on AI as a new form of life is indeed thought-provoking. He presents AI not just as algorithms and data but as an evolving entity, shaped by our inputs and interactions. This perspective challenges the traditional boundaries of what we define as "life" and pushes us to expand our understanding. It's hard not to be convinced after diving into that section, as it paints a vivid picture of AI's place in our distant future.

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. 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. Apple podcast - https://podcasts.apple.com/gb/podcast/the-diary-of-a-ceo-by-steven-bartlett/id1291423644When we ask computers to communicate, at first they communicate like we tell them, but if they're intelligent enough, they'll start to say, ‘that's too slow.’” 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! The arguments he makes for his cautious optimism are WEAK, and nowhere NEAR as compelling as his arguments for his concerns. In fact, the reason I’m deducting 2 points from this otherwise pretty entertaining, engaging and thought provoking book is because the solution Gawdat proposes is (for me) deeply unsatisfying, and about equally as implausible. Mo Gawdat is the Chief Business Officer for Google [X], a serial entrepreneur and author of “Solve for Happy.”

I found a few graphs, which were useful. I found the circled points a little annoying, but maybe the author learns better this way. It's an important topic and it is a bit tough to give a one star rating to a book which suggests we should try to be nicer to each other (including AI/the machines). Sadly it is contains so much confused and faulty reasoning I'm afraid it will do more harm than good to interested readers. I found the book interesting when it touched on the history and myth of man trying to create artificial beings. It appears humans have long desired to create something to ease our mundane tasks or entertain us. The book also provided some recent examples of AI experiments gone wrong that had to be shut down. I am glad my riding school care for their mammalian horses to buy an expensive machine for us to study and improve our riding aids and position.

Children don't learn from what you say. They learn from what you do." AIs are already reading and learning from what we say and choose and do online. And what we support. Every year we create more information than we created in human history to date. So "the store of collective human knowledge is diluted by 50% each year" and altered in tone by the new data. 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. Mo Gawdat is the author of “Solve for Happy: Engineering Your Path to Joy” (2017). Through his 12 year research on the topic of happiness, he created an algorithm and a repeatable well engineered model to reach a state of uninterrupted happiness regardless of the circumstances of life. Mo's happiness model proved highly effective. And, in 2014, was put to the ultimate test when Mo lost his son Ali to preventable medical error during a simple surgical procedure. Solve For Happy is the pillar for a mission Mo has committed to as his personal moonshot, a mission to deliver his happiness message to 10 million people around the world. The answer is us: the human beings who write the code and teach AI to mimic our behaviour. Scary Smart explains how to fix the current trajectory now, to make sure that the AI of the future can preserve our species. This book offers a blueprint, pointing the way to what we can do to safeguard ourselves, those we love, and the planet itself.

I read a borrowed copy of this book courtesy of my local indie bookstore, which is hosting a talk on the subject of AI soon. A section that really resonated with me was his exploration of the potential impact of AI on our day-to-day lives. Gawdat does a solid job of extrapolating current trends and imagining the world a few decades down the line. It’s a vision that’s both exciting and cautionary, filled with opportunities and pitfalls.

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 AI frequently get it so wrong? uses ellipsis and mid line placement to stress what it thinks are important points, like an 8 year old’s creative writing.