
Rebooting AI
Building Artificial Intelligence We Can Trust
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Narrado por:
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Kaleo Griffith
Acerca de esta escucha
Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence.
Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence.
The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gathering ever-larger collections of data, we will be able to create an AI we can trust - in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.
©2019 Gary Marcus (P)2019 Random House AudioLos oyentes también disfrutaron...
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Reseñas de la Crítica
"Artificial intelligence is among the most consequential issues facing humanity, yet much of today’s commentary has been less than intelligent: awe-struck, credulous, apocalyptic, uncomprehending. Gary Marcus and Ernest Davis, experts in human and machine intelligence, lucidly explain what today’s AI can and cannot do, and point the way to systems that are less A and more I." (Steven Pinker, Johnstone professor of psychology, Harvard University, and the author of How the Mind Works and The Stuff of Thought)
"Finally, a book that tells us what AI is, what AI is not, and what AI could become if only we are ambitious and creative enough. No matter how smart and useful our intelligent machines are today, they don’t know what really matters. Rebooting AI dares to imagine machine minds that goes far beyond the closed systems of games and movie recommendations to become real partners in every aspect of our lives." (Garry Kasparov, former world chess champion and author of Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins)
"Finally, a book that says aloud what so many AI experts are really thinking. Every CEO should read it, and everyone else at the company, too. Then they’ll be able to separate the AI wheat from the chaff, and know where we are, how far we have to go, and how to get there." (Pedro Domingos, professor of computer science at the University of Washington and author of The Master Algorithm)
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Required reading for any AI course
- De ehan ferguson en 11-16-20
De: Brian Christian
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A Brief History of Artificial Intelligence
- What It Is, Where We Are, and Where We Are Going
- De: Michael Wooldridge
- Narrado por: Glen McCready
- Duración: 8 h y 8 m
- Versión completa
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Historia
From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: artificial intelligence.
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very basic.
- De Placeholder en 11-11-21
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Architects of Intelligence
- The Truth About AI from the People Building It
- De: Martin Ford
- Narrado por: Mike Chamberlain
- Duración: 20 h y 7 m
- Versión completa
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How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times best-selling author Martin Ford uncovers the truth behind these questions from some of the brightest minds in the artificial intelligence community.
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Architects of Intelligence
- De GEORGE D RICE en 01-12-20
De: Martin Ford
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Prediction Machines
- The Simple Economics of Artificial Intelligence
- De: Ajay Agrawal, Joshua Gans, Avi Goldfarb
- Narrado por: LJ Ganser
- Duración: 7 h y 50 m
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Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.
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Not sure what I was expecting, but underwhelmed
- De William J Brown en 09-27-18
De: Ajay Agrawal, y otros
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AI Snake Oil
- What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
- De: Sayash Kapoor, Arvind Narayanan
- Narrado por: Landon Woodson
- Duración: 9 h y 58 m
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Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.
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Mediocre
- De Amazon Customer en 05-20-25
De: Sayash Kapoor, y otros
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Artificial Unintelligence
- How Computers Misunderstand the World
- De: Meredith Broussard
- Narrado por: Andrea Emmes
- Duración: 7 h y 46 m
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In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally - hiring, driving, paying bills, even choosing romantic partners - that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology.
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Good but not the best
- De Jordan Worley en 08-07-19
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Competing in the Age of AI
- Strategy and Leadership When Algorithms and Networks Run the World
- De: Marco Iansiti, Karim R. Lakhani
- Narrado por: Steven Jay Cohen
- Duración: 9 h y 38 m
- Versión completa
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In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.
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Good writing but disappointing reading
- De YBNRML en 04-13-20
De: Marco Iansiti, y otros
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AI Superpowers
- China, Silicon Valley, and the New World Order
- De: Kai-Fu Lee
- Narrado por: Mikael Naramore
- Duración: 9 h y 28 m
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In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.
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Compelled to listen at 2x speed
- De LEE en 09-26-18
De: Kai-Fu Lee
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The AI Con
- How to Fight Big Tech’s Hype and Create the Future We Want
- De: Emily M. Bender, Alex Hanna
- Narrado por: Jade Wheeler
- Duración: 7 h y 50 m
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Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”
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A must read, even if you're an AI optimist
- De Malcolm Gomez en 05-15-25
De: Emily M. Bender, y otros
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Life 3.0
- Being Human in the Age of Artificial Intelligence
- De: Max Tegmark
- Narrado por: Rob Shapiro
- Duración: 13 h y 29 m
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How will artificial intelligence affect crime, war, justice, jobs, society, and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology - and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial.
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Irritating
- De Thomas Cotter en 10-25-17
De: Max Tegmark
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Guitar Zero
- The New Musician and the Science of Learning
- De: Gary Marcus
- Narrado por: Gary Marcus
- Duración: 5 h y 33 m
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Just about every human being knows how to listen to music, but what does it take to make music? Is musicality something we are born with? Or a skill that anyone can develop at any time? If you don't start piano at the age of six, is there any hope? Is skill learning best left to children or can anyone reinvent him-or herself at any time?
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NOT a better way to learn guitar!
- De Walter V en 07-08-12
De: Gary Marcus
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Human Compatible
- Artificial Intelligence and the Problem of Control
- De: Stuart Russell
- Narrado por: Raphael Corkhill
- Duración: 11 h y 38 m
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In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking audiobook, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.
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Good General Introduction to AI Topic
- De Catherine Puma en 03-26-20
De: Stuart Russell
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AI 2041
- Ten Visions for Our Future
- De: Kai-Fu Lee, Chen Qiufan
- Narrado por: Feodor Chin, Justin Chien, Soneela Nankani, y otros
- Duración: 18 h y 4 m
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AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.
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Good concept, poor execution
- De Amazon Customer en 12-08-21
De: Kai-Fu Lee, y otros
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Agentic Artificial Intelligence
- Harnessing AI Agents to Reinvent Business, Work and Life
- De: Pascal Bornet, Jochen Wirtz, Thomas H. Davenport, y otros
- Narrado por: Rory Young
- Duración: 14 h y 42 m
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This is a practical, non-technical guide for business leaders, entrepreneurs, and curious minds. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.
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Agent specific topics were good
- De James Oravec en 05-09-25
De: Pascal Bornet, y otros
it's required reading for AI researchers and enthusiasts.
entertaining
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The need for Deep understanding.
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Insightful & nuanced take on AI, cuts through hype
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Excellent
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Cheers
Great Epilogue
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The story is very well written, and couldn’t have come at a better time!
Insightful
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Full of pragmatic examples of how and why deep learning fails in NLP, it also offers different frameworks for how and where to start building actual systems that can understand.
A must read for anyone in NLP
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I have been waiting for the industry to finally get critical with itself. Thanks for this thoughtful treatment of a subject that has had misleading and frothy treatment from the media, unrealistic and misguided expectation-setting from software vendors, and too little serious self examination from practitioners. The authors have set out a pretty good set of “functional requirements” for a generalized AI here. They’ve done a good job of articulating 1. Why the current data-driven deep learning cannot progress beyond simple and very narrow tasks, 2. A common sense understanding of the world is missing from these approaches 3. a conceptual faculty able to learn without 10,000 high quality labeled examples beforehand is needed; and 4. What potential corrective actions might be taken.
Importantly, they have suggested a reunification of the two divergent AI traditions is ultimately what is needed to progress and fix the current course. Additionally they implied (or I read into it) that a more trans-disciplinary approach is needed, given the stated need for understanding the functionality of the brain, not just at a biological/ chemical level, but at a fundamental metaphysical / philosophical level. They paint a but challenging road forward, but “tough love” for AI is the only hope for the field, and so I say, thank you.
Serious and thoughtful redirect for AI
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This book is a must "read" for anyone who follows AI.
Cuts Through the Massive Hype Behind ML
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Not good
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