I, Warbot: The Dawn of Artificially Intelligent Conflict
by Kenneth Payne · 16 Jun 2021 · 339pp · 92,785 words
about when gauging intelligence. We certainly have a tendency to judge by human-centric standards. Perhaps we shouldn’t. A tell-tale is the term ‘strong AI’, used by afficionados to mean AI that can perform like a human—flexibly, socially, emotionally. But that’s certainly not the only yardstick for intelligence
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-making technology expert systems and feedback loops fuzzy logic innateness intelligence analysis meta-learning as ‘narrow’ needle-in-a-haystack problems neural networks reinforcement learning ‘strong AI’ symbolic logic and unsupervised learning ‘winters’ artificial neural networks Ashby, William Ross Asimov, Isaac Asperger syndrome Astute class boats Atari Breakout (1976) Montezuma’s Revenge
Thinking Machines: The Inside Story of Artificial Intelligence and Our Race to Build the Future
by Luke Dormehl · 10 Aug 2016 · 252pp · 74,167 words
chapter, the idea that consciousness is some emergent byproduct of faster and faster computers is overly simplistic. Consider the difficulty in distinguishing between ‘weak’ and ‘strong’ AI. Some people mistakenly suggest that, in the former, an AI’s outcome has been pre-programmed and it is therefore the result of an algorithm
Robot Futures
by Illah Reza Nourbakhsh · 1 Mar 2013
of the humans are known. Humans are particularly good at this even when we face other people at acute angles. Hard AI Also known as strong AI, this embodies the AI goal of going all the way toward human equivalence: matching natural intelligence along every possible axis so that artificial beings and
Prediction Machines: The Simple Economics of Artificial Intelligence
by Ajay Agrawal, Joshua Gans and Avi Goldfarb · 16 Apr 2018 · 345pp · 75,660 words
’s AI tools are far from the machines with human-like intelligence of science fiction (often referred to as “artificial general intelligence” or AGI, or “strong AI”). The current generation of AI provides tools for prediction and little else. This view of AI does not diminish it. As Steve Jobs once remarked
Augmented: Life in the Smart Lane
by Brett King · 5 May 2016 · 385pp · 111,113 words
be necessary simply to process all of the sensor data coming into smart city operations centres. Humans will only slow down the process too much. Strong AI involvement running smart cities is closer to two decades away. Within 20 to 30 years, we will see smart governance at the hands of AI
Supremacy: AI, ChatGPT, and the Race That Will Change the World
by Parmy Olson · 284pp · 96,087 words
of the world’s largest tech companies: “artificial general intelligence.” For years, people like Hassabis, Legg, and other scientists exploring AI had used terms like strong AI or proper AI to refer to future software that displayed the same kind of intelligence as humans. But using the word general drove home an
The Long History of the Future: Why Tomorrow's Technology Still Isn't Here
by Nicole Kobie · 3 Jul 2024 · 348pp · 119,358 words
a philosophical standpoint and a technical one. Understanding the terms helps explain some of the debate around this technology. First off, there’s strong AI and weak AI. Strong AI is a system with the sentience to understand what it’s doing, like a person (for the most part). Weak AI can complete tasks
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, but no one believes it to have any level of consciousness about what it’s doing. So far, strong AI doesn’t exist and may well never do so. Strong AI is generally the same as artificial general intelligence (AGI). However, some people reserve the former term for sentient AI and
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given he actually understood the systems in question, was a welcome voice of concern. At the time of writing, AGI, or super-intelligent AI or strong AI – whatever you want to call it – doesn’t exist. It might never exist, or it might have been created before this book is published. But
How to Create a Mind: The Secret of Human Thought Revealed
by Ray Kurzweil · 13 Nov 2012 · 372pp · 101,174 words
the methods deployed today in AI have evolved to be mathematically very similar to the mechanisms in the neocortex. Another objection to the feasibility of “strong AI” (artificial intelligence at human levels and beyond) that is often raised is that the human brain makes extensive use of analog computing, whereas digital methods
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the Mind 1. John R. Searle, “I Married a Computer,” in Jay W. Richards, ed., Are We Spiritual Machines? Ray Kurzweil vs. the Critics of Strong AI (Seattle: Discovery Institute, 2002). 2. Stuart Hameroff, Ultimate Computing: Biomolecular Consciousness and Nanotechnology (Amsterdam: Elsevier Science, 1987). 3. P. S. Sebel et al., “The Incidence
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Be Conscious?” (pp. 458–69). 10. Michael Denton, “Organism and Machine: The Flawed Analogy,” in Are We Spiritual Machines? Ray Kurzweil vs. the Critics of Strong AI (Seattle: Discovery Institute, 2002). 11. Hans Moravec, Mind Children (Cambridge, MA: Harvard University Press, 1988). Epilogue 1. “In U.S., Optimism about Future for Youth
Surviving AI: The Promise and Peril of Artificial Intelligence
by Calum Chace · 28 Jul 2015 · 144pp · 43,356 words
, China. Advances in AI are set to affect progress in all other areas in the coming decades. If this momentum leads to the achievement of strong AI within the century, then in the words of one field leader it would be “the biggest event in human history”. Now is therefore a perfect
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two very different types of artificial intelligence: artificial narrow intelligence (ANI) and artificial general intelligence (AGI (4)), which are also known as weak AI and strong AI, and as ordinary AI and full AI. The easiest way to do this is to say that artificial general intelligence, or AGI, is an AI
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very long time. Rodney Brooks, a veteran AI researcher and robot builder, says “I think it is a mistake to be worrying about us developing [strong] AI any time in the next few hundred years. I think the worry stems from a fundamental error in not distinguishing the difference between the very
Applied Artificial Intelligence: A Handbook for Business Leaders
by Mariya Yao, Adelyn Zhou and Marlene Jia · 1 Jun 2018 · 161pp · 39,526 words
refer to machines with human-level or higher intelligence, capable of abstracting concepts from limited experience and transferring knowledge between domains. AGI is also called “Strong AI” to differentiate from “Weak AI” or “Narrow AI," which refers to systems designed for one specific task and whose capabilities are not easily transferable to
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your problem and will also build your reputation as a company that supports AI. As with any industry, like attracts like. Dominant tech companies build strong AI departments by hiring superstar leaders. Google and Facebook attracted university professors and AI research pioneers such as Geoffrey Hinton, Fei-Fei Li, and Yann LeCun
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, operations and back-office, customer support, and even HR and recruiting. Emphasize Your Company’s Unique Advantages At the end of an interview cycle, a strong AI candidate will have multiple offers in hand. In order to close the candidate, you’ll need to differentiate your company from others. In addition to
Searches: Selfhood in the Digital Age
by Vauhini Vara · 8 Apr 2025 · 301pp · 105,209 words
The Dark Cloud: How the Digital World Is Costing the Earth
by Guillaume Pitron · 14 Jun 2023 · 271pp · 79,355 words
Work in the Future The Automation Revolution-Palgrave MacMillan (2019)
by Robert Skidelsky Nan Craig · 15 Mar 2020
Toast
by Stross, Charles · 1 Jan 2002
Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots
by John Markoff · 24 Aug 2015 · 413pp · 119,587 words
The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity
by Byron Reese · 23 Apr 2018 · 294pp · 96,661 words
Our Final Invention: Artificial Intelligence and the End of the Human Era
by James Barrat · 30 Sep 2013 · 294pp · 81,292 words
The Internet Is Not What You Think It Is: A History, a Philosophy, a Warning
by Justin E. H. Smith · 22 Mar 2022 · 198pp · 59,351 words
AI in Museums: Reflections, Perspectives and Applications
by Sonja Thiel and Johannes C. Bernhardt · 31 Dec 2023 · 321pp · 113,564 words
In Our Own Image: Savior or Destroyer? The History and Future of Artificial Intelligence
by George Zarkadakis · 7 Mar 2016 · 405pp · 117,219 words
The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity
by Amy Webb · 5 Mar 2019 · 340pp · 97,723 words
Only Humans Need Apply: Winners and Losers in the Age of Smart Machines
by Thomas H. Davenport and Julia Kirby · 23 May 2016 · 347pp · 97,721 words
Pandora's Brain
by Calum Chace · 4 Feb 2014 · 345pp · 104,404 words
The People vs Tech: How the Internet Is Killing Democracy (And How We Save It)
by Jamie Bartlett · 4 Apr 2018 · 170pp · 49,193 words
50 Future Ideas You Really Need to Know
by Richard Watson · 5 Nov 2013 · 219pp · 63,495 words
Robot Rules: Regulating Artificial Intelligence
by Jacob Turner · 29 Oct 2018 · 688pp · 147,571 words
Artificial Intelligence: A Guide for Thinking Humans
by Melanie Mitchell · 14 Oct 2019 · 350pp · 98,077 words
The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma
by Mustafa Suleyman · 4 Sep 2023 · 444pp · 117,770 words
What to Think About Machines That Think: Today's Leading Thinkers on the Age of Machine Intelligence
by John Brockman · 5 Oct 2015 · 481pp · 125,946 words
Future Crimes: Everything Is Connected, Everyone Is Vulnerable and What We Can Do About It
by Marc Goodman · 24 Feb 2015 · 677pp · 206,548 words
A World Without Work: Technology, Automation, and How We Should Respond
by Daniel Susskind · 14 Jan 2020 · 419pp · 109,241 words
World Without Mind: The Existential Threat of Big Tech
by Franklin Foer · 31 Aug 2017 · 281pp · 71,242 words
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
by Karen Hao · 19 May 2025 · 660pp · 179,531 words
These Strange New Minds: How AI Learned to Talk and What It Means
by Christopher Summerfield · 11 Mar 2025 · 412pp · 122,298 words
The Doomsday Calculation: How an Equation That Predicts the Future Is Transforming Everything We Know About Life and the Universe
by William Poundstone · 3 Jun 2019 · 283pp · 81,376 words
System Error: Where Big Tech Went Wrong and How We Can Reboot
by Rob Reich, Mehran Sahami and Jeremy M. Weinstein · 6 Sep 2021
The Alignment Problem: Machine Learning and Human Values
by Brian Christian · 5 Oct 2020 · 625pp · 167,349 words
Succeeding With AI: How to Make AI Work for Your Business
by Veljko Krunic · 29 Mar 2020
Architects of Intelligence
by Martin Ford · 16 Nov 2018 · 586pp · 186,548 words
2312
by Kim Stanley Robinson · 22 May 2012 · 561pp · 167,631 words
Red Moon
by Kim Stanley Robinson · 22 Oct 2018 · 492pp · 141,544 words
AI Superpowers: China, Silicon Valley, and the New World Order
by Kai-Fu Lee · 14 Sep 2018 · 307pp · 88,180 words
From Bacteria to Bach and Back: The Evolution of Minds
by Daniel C. Dennett · 7 Feb 2017 · 573pp · 157,767 words
Falter: Has the Human Game Begun to Play Itself Out?
by Bill McKibben · 15 Apr 2019
Robots Will Steal Your Job, But That's OK: How to Survive the Economic Collapse and Be Happy
by Pistono, Federico · 14 Oct 2012 · 245pp · 64,288 words
WTF?: What's the Future and Why It's Up to Us
by Tim O'Reilly · 9 Oct 2017 · 561pp · 157,589 words
Possible Minds: Twenty-Five Ways of Looking at AI
by John Brockman · 19 Feb 2019 · 339pp · 94,769 words
What We Owe the Future: A Million-Year View
by William MacAskill · 31 Aug 2022 · 451pp · 125,201 words
The Road to Conscious Machines
by Michael Wooldridge · 2 Nov 2018 · 346pp · 97,890 words
The Lights in the Tunnel
by Martin Ford · 28 May 2011 · 261pp · 10,785 words
Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the Agi Workshop 2006
by Ben Goertzel and Pei Wang · 1 Jan 2007 · 303pp · 67,891 words
Rise of the Robots: Technology and the Threat of a Jobless Future
by Martin Ford · 4 May 2015 · 484pp · 104,873 words
The Future of the Professions: How Technology Will Transform the Work of Human Experts
by Richard Susskind and Daniel Susskind · 24 Aug 2015 · 742pp · 137,937 words
Artificial Intelligence: A Modern Approach
by Stuart Russell and Peter Norvig · 14 Jul 2019 · 2,466pp · 668,761 words
An Optimist's Tour of the Future
by Mark Stevenson · 4 Dec 2010 · 379pp · 108,129 words
Wired for War: The Robotics Revolution and Conflict in the 21st Century
by P. W. Singer · 1 Jan 2010 · 797pp · 227,399 words
The Book of Why: The New Science of Cause and Effect
by Judea Pearl and Dana Mackenzie · 1 Mar 2018
Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom · 3 Jun 2014 · 574pp · 164,509 words
Zero to One: Notes on Startups, or How to Build the Future
by Peter Thiel and Blake Masters · 15 Sep 2014 · 185pp · 43,609 words
The Singularity Is Near: When Humans Transcend Biology
by Ray Kurzweil · 14 Jul 2005 · 761pp · 231,902 words
Rationality: From AI to Zombies
by Eliezer Yudkowsky · 11 Mar 2015 · 1,737pp · 491,616 words
Global Catastrophic Risks
by Nick Bostrom and Milan M. Cirkovic · 2 Jul 2008
Darwin Among the Machines
by George Dyson · 28 Mar 2012 · 463pp · 118,936 words
Darwin's Dangerous Idea: Evolution and the Meanings of Life
by Daniel C. Dennett · 15 Jan 1995 · 846pp · 232,630 words
Think Complexity
by Allen B. Downey · 23 Feb 2012 · 247pp · 43,430 words
The Cultural Logic of Computation
by David Golumbia · 31 Mar 2009 · 268pp · 109,447 words
Digital Bank: Strategies for Launching or Becoming a Digital Bank
by Chris Skinner · 27 Aug 2013 · 329pp · 95,309 words
Noam Chomsky: A Life of Dissent
by Robert F. Barsky · 2 Feb 1997