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Mind Matters Reporting on Natural and Artificial Intelligence

CategoryArtificial Intelligence

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media reporter with microphone making journalist interview for news

Advice to Physicists: “Shut Up and Do Physics”

Well-known public intellectuals sometimes stray outside their silos of expertise, showing questionable judgment about, for example, AI

Stephen Hawking was a genius in theoretical physics but he did not know much about computers and his fears of an AI takeover were unfounded.

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robots call center

Why Richard Dawkins Thinks AI May Replace Us

He likes the idea because it is consistent with his naturalist philosophy

Dawkins thinks we didn’t evolve so as to understand consciousness. But that our odd situation points nowhere. Isn’t all this past its sell-by date?

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cybercrime, hacking and technology concept - male hacker with headphones and coding on laptop computer screen wiretapping or using computer virus program for cyber attack in dark room

The New Cyber Cold War with China

Cybersecurity strategist Peter Singer told Wired that there has never been a better time than the COVID-19 pandemic to be a government hacker

The United States has formally accused China of both funding and operating cells of hackers who infiltrate research labs working on responses to COVID-19.

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Close-up view of the Difference Engine

Lovelace: The Programmer Who Spooked Alan Turing

Ada Lovelace understood her mentor Charles Babbage’s plans for his new Analytical Engine and was better than he at explaining what it could do

Turing thought that computers could be got to think. Thus he had to address Lovelace’s objection from a century earlier, that they could not be creative.

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Close-up view of 'one way' road sign with blurred building in the background. Manhattan, New York City, United States of America.

Flubbed Headlines: New Challenge For AI Common Sense

I propose a new challenge: Teach computers to correctly understand the headline “Students Cook and Serve Grandparents”

Many high tech companies, including Microsoft, are headquartered near the coast in the state of Washington. The executives must have been terrified when they read the headline: “Tuna Biting Off Washington Coast” But wait. Tuna are not chomping on Seattle beaches. The headline, meant to convey good news for fishermen, can be read that way of course. We use common sense to identify the intended meaning and the incorrect interpretation makes us smile. But AI has trouble doing this because it lacks common sense. To solve the problem of AI’s lack of common sense, Microsoft’s co-founder Paul Allen (1953–2018) poured big bucks into Seattle’s Allen Institute for Artificial Intelligence. “To make real progress in A.I., we have to overcome the Read More ›

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Neurons cells concept

Elon Musk’s Myths About the Mind

According to Musk, everything in the brain is an electrical signal. That’s pretty naive

Neuroscientists used to think that each neuron was as complex as a switch. But newer research shows that each neuron is more similar to a microprocessor. Musk’s 3,000 Neuralink electrodes controlled by a single processor does not remotely match your brain’s 80 billion processors, all linked together.

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Great bundle of various colored cables with various connectors

No, Scientific American, Don’t Starve AI!

Don't unplug AI; just make sure everyone shares in both the creation and the benefits

While many are concerned about all the jobs that AI will eliminate, no one is talking about the fact that AI needs humans. Information is the fuel that powers AI, and only humans can create this information. So, the real revolution that AI will bring is not data exploitation, but the empowering of people all around the world to power our economy through creation of information. What’s bad news for authoritarian groups like the Chinese Communist party is good news for everyone else. 

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cryptocurrency equipment mining

Data Mining: A Plague, Not a Cure

It is tempting to believe that patterns are unusual and their discovery meaningful; in large data sets, patterns are inevitable and generally meaningless

Findings patterns in data is easy. Finding meaningful patterns that have a logical basis and can be used to make accurate predictions is elusive. We can see this from 18th-century attempts to cure scurvy through 21st century claims about the stock market or history.

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If Then logic statement written in white chalk on a black chalkboard isolated on white

Gödel and God: A Surprising History

A thought-provoking account of master logician Gödel’s largely unknown proof of the existence of God

In an unsanitized, politically incorrect (but factual) history, Selmer Bringsjord talks about how the tormented genius Kurt Gödel took up a quest that dated back a thousand years to prove the existence of God by formal logic. His original version didn’t quite work but his editor’s version passed an important logic test.

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Lightning in the dark

Should AI Hold Patents? The Flash-of-Genius Answer

To understand why AI cannot independently invent, let’s look at how famous inventors have actually done it

Like Excel, AI assists programmers in their design work. AI can search through trillions of possibilities, using data from a million sources, to find a successful design. But the structure of the search and the source of the data is the choice of the programmer. A look at how famous inventors developed products that changed the world sheds some light on the process.

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Real Php code developing screen. Programing workflow abstract algorithm concept. Lines of Php code visible under magnifying lens.

Will Ideas or Algorithms Rule Science Tomorrow?

David Krakauer of the Santa Fe Institute offers an unsettling vision of future science as produced by machines that no one really understands

The basic problem is that accepting on faith what we can’t ever hope to understand is not a traditional stance of science. Thus it’s a good question whether science could survive such a transition and still be recognizable to scientists. But does turning things over to incomprehensible algorithms, as Krakauer proposes, really work anyway? Current results from a variety of areas give pause for thought.

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CCTV camera or surveillance operating in glass building

At Scientific American: Starve artificial intelligence!

Silicon Valley authors seek to limit AI's power. Jonathan Bartlett doesn't think it really has the power they are worried about

Jonathan Bartlett agrees with Valley pioneers Davidow and Malone, authors of The Autonomous Revolution (2020) that there are real problems with the misuse of AI. But, he says, that’s because we treat it as powerful. It is a servant but we make it a master.   

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High-Ranking Military Man holds a Briefing to a Team of Government Agents and Politicians, Shows Satellite Surveillance Footage.

Calvin and Hobbes Explain Why AI Will Never Rule the Battlefield

The creativity needed for successful command is beyond the capability of AI

AI sifts enormous amounts of accumulated data. But successful military strategy often depends on creating a new approach to a problem, one that lies outside the historical data available to the opposing forces. Muhammad Ali and Hannibal were famous for using such strategies.

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Retro Robot plays with wooden ABC cubes on floore. 3D rendering. Education scientist robot student

Ruling: AIs Can’t Hold Patents

The US Patent Office has ruled that only "natural persons" can own patents, not machines

An issue left untouched is whether AI can, in principle, be creative in any event. There is no real evidence for that. The big worry, perhaps, is not being replaced by one’s tools but being ruled by them.

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Robot studies a coronavirus with magnifier,nano robot with bacterium,3d render.

Can AI Save Us from COVID-19? An Expert Is Skeptical

To use AI more successfully next time, we need a clear understanding of its limitations as well as its capabilities

Experts list various problems, including the fact that AI is vulnerable to failure due to unforeseen problems, including problems with data (too sparse, too noisy, too many outliers, etc.). It also doesn’t learn as well from experience as humans do.

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Happy man on wheelchair in nature. Exploring forest wilderness on an accessible dirt path.

Through AI, a Paralyzed Man Has Regained the Sense of Touch

In 2016, through advanced technology, he regained the ability to move individual fingers

According to researchers, Ian Burkhart, whose hands and legs were paralyzed in a diving accident in 2010, has regained the sense of touch,, through a brain implant, as opposed to simply the ability to move a hand: The breakthrough came from analysis of years of data collected from NeuroLifeTM program study participant Ian Burkhart, who suffered a spinal cord injury in 2010 when diving into the ocean, and now lives with paralysis in his hands and legs. “When the chip was placed on the surface of Ian’s motor cortex in 2014, it was not known that the signals related to object touch could be observed because of the paralysis,” said lead author and Battelle Principal Research Scientist Patrick Ganzer. “Furthermore, Read More ›

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Flying futuristic central processing unit. electronic circuitry within a computer that carries out the instructions of a computer program performing arithmetic, logic, controlling.

Coronavirus: Is Data Mining Failing Its First Really Big Test?

Computers scanning thousands of paper don’t seem to be providing answers for COVID-19

If Alphabet’s Deep Mind or Microsoft had successfully data mined the 29,000 papers and found useful coronavirus information, that would be pretty impressive. But they appear to be giving others a chance to try instead, raising issues once again about the value of data mining in medicine.

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Digital mind

Why Our Minds Can’t Really Be Uploaded to Computers

The basic problem is that human minds aren’t “computable.” Peter and Jane are not bits and bytes

The underlying problem with creating immortality by uploading our minds to computers is that people are conscious and even the most sophisticated foreseeable computers are not. And we are not at all sure what consciousness even IS.

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Shirts

Why Your Computer Will Never Talk to You

As a jokester recently demonstrated, even “shirts without stripes” is a fundamental, unsolvable problem for computers

At first, “shirts without stripes” might not seem like much of an issue but it turns out that many important and interesting problems for computers fundamentally reduce to this “halting problem.” And understanding human language is one of these problems.

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Machine learning technology diagram with artificial intelligence (AI),neural network,automation,data mining in VR screen.businessman hand working with modern technology and digital layer effect.

Can Human Minds Be Reduced to Computer Programs?

In Silicon Valley that has long been a serious belief. But are we really anywhere close?

Computer scientist Selmer Bringsjord recalls, “I remember asking James Moor, the Dartmouth professor who’s written quite a bit on AI: “You know. Jim, you really are a true believer in this stuff but can you tell me how much time you’re willing to give these AI people? I mean, if we give them another thousand years, and we still don’t have cognition as I’ve characterized it… Are you going to be skeptical now?” He was, I suppose, as an academic, predictably clever and evasive, but the bottom line is, we don’t have this cognition captured.

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