Mind Matters News and Analysis on Natural and Artificial Intelligence

CategoryArtificial Intelligence

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Insider's Guidebook from the

Stephen Hawking and the AI Apocalypse

Can doomsday headlines, chasing fame, stand in for deep knowledge of a subject?
One thing a celebrity pundit can usually count on is an audience of media professionals who haven’t considered the problems carefully either and don’t want to. It is much easier and more profitable to market Doomsday than Levin’s Law. As always, the fact that laws governing the universe will eventually triumph is true but not news.   Read More ›
Robert J. Marks with Michael Medved
Robert J. Marks on Great Minds with Michael Medved

Robert J. Marks Talks Computers with Michael Medved

Computers can magnify what we do, he says, and that's the real threat
Recently, Robert J. Marks, director of the Walter Bradley Center for Natural and Artificial Intelligence, sat down with radio host and author Michael Medved to help sort through the confusion about what artificial intelligence can and can’t do, now and in the future. Read More ›
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AI Winter Is Coming

Roughly every decade since the late 1960s has experienced a promising wave of AI that later crashed on real-world problems, leading to collapses in research funding.
Nearly all of AI’s recent gains have been realized due to massive increases in data and computing power that enable old algorithms to suddenly become useful. For example, researchers first conceived neural networks—the core idea powering much machine learning and AI’s notable advances—in the late 1950s. The worries of an impending winter arise because we’re approaching the limits of what massive data combined with hordes of computers can do. Read More ›
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Human Consciousness May Not Be Computable

One model of consciousness would mean that conscious computers are a physical impossibility
As long as computers simply get faster and use more memory, there is no reason to worry about a self-aware Skynet. Read More ›
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Can the Air Force Create Thinking Planes?

Smart drones? They are working on general artificial intelligence (GAI)
Eric Holloway: The likely way this will turn out is they'll realize human-in-the-loop is unavoidable for any useful system, so it'll spin off into something like the existing field of human computation. Read More ›
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Too Big to Fail Safe?

If artificial intelligence makes disastrous decisions from very complex calculations, will we still understand what went wrong?
A neuroscientist offers an example of the kind of thing that can go wrong, while the AI system is still small and focused enough to be easily understood: Read More ›
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AI Social Media Could Totally Manipulate You

Deep learning specialist: And the scary thing is, the AI needed is not especially advanced
Readers familiar with The Two Towers will recall that that’s precisely what Worm-Tongue did to Theoden King: The king heard nothing but what was conveyed to him from his would-be overlord by Worm-tongue, until someone separated him, rather forcibly, from his "social medium." Read More ›
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If a Robot Read the News, Would You Notice a Difference?

The Chinese government thinks not. Is this the way of the future?
The robotic news readers of China serve a quite different purpose from the independent news outlets and commentators of the West; the robots help disseminate controlled information rather than finding and developing information. Read More ›
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The “superintelligent AI myth”

The problem that even the skeptical Deep Learning researcher left out
I largely agree with what François Chollet said last year as to why there will be no explosion of general artificial intelligence. But when he challenged the fear of an AI-driven “intelligence explosion,” he, perhaps unwittingly, said more than he meant. Read More ›
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Brains are not billions of little computers

Despite the hype. Also, life forms are not machines and neurons are not neural networks
Life forms exist in a dance with their environment (homeostasis) that requires constant adjustment, an adjustment generated by the inner drive to continue in existence. How does the drive come to be there? The analogy between life forms and machines like computers is not particularly convincing, on close examination. Read More ›
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Software pioneer says general superhuman artificial intelligence is very unlikely

The concept, he argues, shows a lack of understanding of the nature of intelligence
François Chollet, author of Keras, for the Python deep learning language, cites the No Free Lunch theorem as one of the reasons. Read More ›
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Machines just don’t do meaning

And that, says a computer science prof, is a key reason they won't compete with humans
Human understanding is grounded, as Prof. Mitchell says, in common-sense knowledge about how the world works and why things matter. Researchers have not been able to transfer this understanding to AI but she worries that many teams are moving ahead with projects that require such ability for safety. Read More ›
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Should robots run for office?

A tech analyst sees a threat to democracy if they don’t
In an adapted excerpt from Future Politics: Living Together in a World Transformed by Tech (2018), titled “Mr. Robot goes to Washington: How AI will change democracy,” lawyer and tech writer Jamie Susskind: envisions AI as not only fighting “fake news” but voting for us and helping to draft legislation. It’s a sobering thought, how far some tech analysts would be prepared to go in order to impose their own vision of order on an unruly but stable political system. Read More ›
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How AI could run the world

Its killer apps, in physicist Max Tegmark's tale, include a tsunami of "message" films
In traditional fairy tales, an explanatory gap can be addressed by magic. After all, most readers will grant a writer one impossibility (for example, that a boy’s horse has human intelligence) just to get the story moving. Unfortunately, science fiction is one genre that doesn’t work that way. The author must make the claim sound like science, a problem Tegmark vaults right over. Read More ›
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Could AI write novels?

George Orwell thought so, as long as no thinking was involved
Serious literature will always be written, to borrow a phrase from Winston Churchill, in “blood, toil, tears and sweat” because imaging the human condition accurately is part of its nature. And if the writer lives in an unfree society, serious literature will also be written in fear. Read More ›
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Does information theory support design in nature?

William Dembski makes a convincing case, using accepted information theory principles relevant to computer science
Intelligent design theory is sometimes said to lack any practical application. One straightforward application is that, because intelligence can create information and computation cannot, human interaction will improve computational performance. Read More ›
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Deep Learning won’t solve AI

AlphaGo pioneer: We need “another dozen or half-a-dozen breakthroughs”
Hassabis: "AlphaGo doesn't understand language but we would like them to build up to this symbolic level of reasoning — maths, language, and logic. Read More ›
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Inner peace: Is there software for that?

Tech billionaire funds neuroscience in a search for the secret of contentment
His approach to neuroscience is very different from that of the Dalai Lama, who facilitates neuroscience research to better understand contemplation as a path to inner peace. Chen’s focus is more on developing virtual reality. Read More ›
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Artificial intelligence is impossible

Meaningful information vs artificial intelligence
Because the law of independence conservation states that no combination of randomness and determinism can create mutual information, then likewise no Turing machine nor artificial intelligence can create mutual information. Thus, the goal of artificial intelligence researchers to reproduce human intelligence with a computer program is impossible to achieve. Read More ›