Moravec's paradox Concepts

The Singularity Is Nearer: When We Merge with AI

by Ray Kurzweil · 25 Jun 2024

during the next decade. When it comes to android function, technological progress faces a challenge my friend Hans Moravec identified several decades ago, now called Moravec’s paradox.[84] In short, mental tasks that seem hard to humans—like square-rooting large numbers and remembering large amounts of information—are comparatively easy for

The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies

by Erik Brynjolfsson and Andrew McAfee · 20 Jan 2014 · 339pp · 88,732 words

give them the skills of a one-year-old when it comes to perception and mobility.”27 This situation has come to be known as Moravec’s paradox, nicely summarized by Wikipedia as “the discovery by artificial intelligence and robotics researchers that, contrary to traditional assumptions, high-level reasoning requires very little computation

Driverless: Intelligent Cars and the Road Ahead

by Hod Lipson and Melba Kurman · 22 Sep 2016

a pile of rubble. Roboticist Hans Moravec succinctly summed up the challenge of automating seemingly simple tasks in what would come to be known as Moravec’s paradox. Moravec observed that “it is comparatively easy to make computers exhibit adult-level performance on intelligence tests or playing checkers, and difficult or impossible to

Our Final Invention: Artificial Intelligence and the End of the Human Era

by James Barrat · 30 Sep 2013 · 294pp · 81,292 words

chess, physics, and natural language processing raises a second important observation. Hard things are easy, and easy things are hard. This axiom is known as Moravec’s Paradox, because AI and robotics pioneer Hans Moravec expressed it best in his robotics classic, Mind Children: “It is comparatively easy to make computers exhibit adult

Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins

by Garry Kasparov · 1 May 2017 · 331pp · 104,366 words

, it’s fair to say that we have advanced further in duplicating human thought than human movement. In what artificial intelligence and robotics experts call Moravec’s paradox, in chess, as in so many things, what machines are good at is where humans are weak, and vice versa. In 1988, the roboticist Hans

To Be a Machine: Adventures Among Cyborgs, Utopians, Hackers, and the Futurists Solving the Modest Problem of Death

by Mark O'Connell · 28 Feb 2017 · 252pp · 79,452 words

a sort of uncanny external reflection in the machinic humans, the self-proclaimed cyborgs, I was about to encounter. * * * *1 This is known, apparently, as Moravec’s Paradox, after robotics professor Hans Moravec’s observation that “it is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers

The Technology Trap: Capital, Labor, and Power in the Age of Automation

by Carl Benedikt Frey · 17 Jun 2019 · 626pp · 167,836 words

only hurdle to automation, most remaining jobs would be for symbolic analysts. A second reason why there are still so many jobs is explained by Moravec’s paradox, named after the computer scientist Hans Moravec. The paradox he noted was the fact that it is hard for computers to do many tasks that

Exponential: How Accelerating Technology Is Leaving Us Behind and What to Do About It

by Azeem Azhar · 6 Sep 2021 · 447pp · 111,991 words

much work is harder to automate than you might think. The difficult-to-automate nature of many jobs is captured in a maxim known as ‘Moravec’s paradox’ – first outlined by Hans Moravec, a professor renowned for his work on robotics and AI at Carnegie Mellon University in the 1980s. As he wrote

AI Superpowers: China, Silicon Valley, and the New World Order

by Kai-Fu Lee · 14 Sep 2018 · 307pp · 88,180 words

, it’s far easier to build AI algorithms than to build intelligent robots. Core to this logic is a tenet of artificial intelligence known as Moravec’s Paradox. Hans Moravec was a professor of mine at Carnegie Mellon University, and his work on artificial intelligence and robotics led him to a fundamental truth

Kill It With Fire: Manage Aging Computer Systems

by Marianne Bellotti · 17 Mar 2021 · 232pp · 71,237 words

of a one-year-old when it comes to perception and mobility.”1 Those wishing to upgrade large complex systems would do well to keep Moravec’s paradox in mind. Systems evolve much faster than nature, but just as in nature, as the system evolves, more and more of its underlying logic becomes