Mind Matters Natural and Artificial Intelligence News and Analysis

TagGeorge Gilder

Shot of Corridor in Working Data Center Full of Rack Servers and Supercomputers with Pink Neon Visualization Projection of Data Transmission Through High Speed Internet.
Shot of Corridor in Working Data Center Full of Rack Servers and Supercomputers with Pink Neon Visualization Projection of Data Transmission Through High Speed Internet.

AI Researcher: Stop Calling Everything “Artificial Intelligence”

It’s not really intelligence, says Berkeley’s Michael Jordan, and we risk misunderstanding what these machines can really do for us

Computer scientist Michael I. Jordan, a leading AI researcher, says today’s artificial intelligence systems aren’t actually intelligent and people should stop talking about them as if they were: They are showing human-level competence in low-level pattern recognition skills, but at the cognitive level they are merely imitating human intelligence, not engaging deeply and creatively, says Michael I. Jordan, a leading researcher in AI and machine learning. Jordan is a professor in the department of electrical engineering and computer science, and the department of statistics, at the University of California, Berkeley. Katy Pretz, “Stop Calling Everything AI, Machine-Learning Pioneer Says” at IEEE Spectrum (March 31, 2031) Their principal role, he says, is to “augment human intelligence, via painstaking analysis of large Read More ›

Logical Diagrams
Making business plan. Businessperson drawing diagrams. Many graphs and hand drawn diagrams.

Why Impractical Things Like Philosophy Are Actually Quite Useful

Chaitin argues that the human spirit is capable of doing both practical things and impractical things which may have practical consequences later

In last week’s podcast,, “The Chaitin Interview V: Chaitin’s Number,” Walter Bradley Center director Robert J. Marks continued his conversation with mathematician Gregory Chaitin, best known for Chaitin’s unknowable number. Last time, they looked at how Chaitin’s unknowable number relates to computer pioneer Alan Turing’s vexing halting problem in computer science. This time, they look at the way pure mathematics has a way of being highly practical: It creates a basis for new understanding, leading to technical breakthroughs: This portion begins at 09:50 min. A partial transcript, Show Notes, and Additional Resources follow. Gregory Chaitin: There are always going to be a few of us who like to do practical things. That’s part of my personality too, but there’s also, Read More ›

abstract-virtual-binary-code-illustration-on-blurry-modern-office-building-background-big-data-and-coding-concept-multiexposure-stockpack-adobe-stock.jpg
Abstract virtual binary code illustration on blurry modern office building background. Big data and coding concept. Multiexposure

The Chaitin Interview V: Chaitin’s Number

Listen in as Robert J. Marks picks the mind of Professor Gregory Chaitin about Chaitin’s number – a number that has been called “mystical and magical”. How does this number work? Why do some people call it “Chaitin’s constant”? What is the usefulness of philosophizing in mathematics? Show Notes Additional Resources

Brown Nautilus Shell

Walter Bradley Center: Year in Review 2020

Despite COVID-19, we had a very productive year

Mind Matters News is sponsored by the non-profit Walter Bradley Center for Natural and Artificial Intelligence at Discovery Institute. Will you help Mind Matters News continue by supporting the work of the Bradley Center with an end-of-year donation? In a world awash with over-hyped claims (both pro and con) about artificial intelligence, the work of the Bradley Center couldn’t be more timely and important. People know at a fundamental level that they are not machines. But faulty thinking can cause people to adopt views that in their heart of hearts they know to be untrue. The Bradley Center seeks to help individuals—and our society at large—to realize that we are not machines, while at the same time helping to put Read More ›

twisted-clock-face-time-concept-stockpack-adobe-stock.jpg
Twisted clock face. Time concept

Do Time and Space Mean the Same Thing to Humans as to Computers?

Futurist George Gilder tells us, humans don’t treat physical and chemical forces or clock pulses the way computers do

Recently, we have looked at four of the six assumptions that, according to futurist George Gilder in Gaming AI, are generally shared by those who believe that, sometime soon in a Singularity , we will merge with our machines: Four of them are: 1) The brain is a computer and Big Data is a Big Answer (here) and 2) maps are territories and reality follows our rules (here). Now here are the final two: • The Locality Assumption: Actions of human agents reflect only immediate physical forces impinging directly on them. • The Digital Time Assumption: Time is objective and measured by discrete increments. (p. 50) Gilder tells us that the Locality Assumption means that “minds respond to local inputs Read More ›

a-mouse-with-a-tree-green-it-stockpack-adobe-stock.jpg
a mouse with a tree / green it

Could Carbon Computing Make Computers More Environment Friendly?

As a key component of life forms, carbon is abundant and energy efficient

Carbon, a very abundant chemical element, is one of the building blocks of life, partly on account of its stability. It is a minimalist element, compared to the silicon used in computing today: … carbon dioxide is is a small gaseous molecule consisting of two oxygens both forming a double bond with a single carbon while silicon dioxide is a massive behemoth of a molecule made of huge numbers of alternating oxygen and silicon atoms and is more commonly known as sand. S. E. Gould, “Shine on you crazy diamond: why humans are carbon-based lifeforms” at Scientific American (November 11, 2012) But there’s something else about carbon. As George Gilder puts it, carbon-based life forms, like humans, consume very little Read More ›

schrodingers-cat-stockpack-adobe-stock.jpg
Schrodinger's cat

Does Schrödinger’s Cat Think Quantum Computing Is a Sure Thing?

It might lead to more security, though not to thinking computers

Some hope that a move to quantum computing—qubits instead of bits, analog instead of digital—will work wonders, including the invention of the true thinking computer. In last week’s podcast, futurist George Gilder and computer engineer Robert J. Marks looked at, among other things, what’s really happening with quantum computing: https://episodes.castos.com/mindmatters/Mind-Matters-108-George-Gilder.mp3 (The quantum computing discussion begins at 15:04.) Robert J. Marks: What’s your take on quantum computing? It seems to me that there’s been glacial progress in the technology. George Gilder (pictured): I think quantum computing is rather like AI, in that it moves the actual problem outside the computational process and gives the illusion that it solved the problem, but it’s really just pushed the problem out. Quantum computing is Read More ›

blockchain-technology-information-blocks-in-digital-space-decentralized-global-network-cyberspace-data-protection-3d-illustration-with-elements-of-a-binary-code-stockpack-adobe-stock.jpg
Blockchain technology. Information blocks in digital space. Decentralized global network. Cyberspace data protection. 3D illustration with elements of a binary code

While the West Hesitates, China Is Moving to Blockchain

Life After Google by George Gilder, advocating blockchain, became a best seller in China and received a social sciences award

In this week’s podcast, “George Gilder on blockchain and carbon computing,” tech philosopher George Gilder and computer engineer Robert J. Marks, our Walter Bradley Center director, continued their discussion of the impact of artificial intelligence (AI). This time, they focused on the future of blockchain, of quantum computing, and carbon computing.What difference will they make? Quite a lot it seems. Today, we will look at what happens when blockchain goes global. You can download Gilder’s new book, Gaming AI, for free here. The three earlier episodes and transcripts in this series are also linked below. And so now… https://episodes.castos.com/mindmatters/Mind-Matters-108-George-Gilder.mp3 Gilder and Marks discussed both the huge surge of interest in blockchain in China and the central weakness of Bitcoin, whose Read More ›

bitcoin-wallet-currency-stockpack-unsplash.jpg
bitcoin wallet and currency

George Gilder on Blockchain and Carbon Computing

George Gilder and Robert J. Marks discuss blockchain, Bitcoin, quantum and carbon computing, and George Gilder’s new book Gaming AI: Why AI Can’t Think but Can Transform Jobs (which you can get for free here). Show Notes Additional Resources

Strongyloides stercoralis (threadworm).jpg
Strongyloides stercoralis (threadworm) in stool, analyze by microscope

Stretton’s Paradox: The Paradox of the Lowly Worm

Because nature is full of intelligence, the more we learn, even about a worm, the less we "know"
George Gilder used the term “Stretton’s paradox” in connection with the attempt to understand the human connectome, the white matter in your brain that is as dense as the entire internet. Read More ›
robotic-man-cyborg-face-representing-artificial-intelligence-3d-rendering-stockpack-adobe-stock.jpg
Robotic man cyborg face representing artificial intelligence 3D rendering

Has the Singularity Been Called Off? Indefinitely Postponed?

If a human brain has as many connections as the whole internet, why should we merge with computers in a Singularity?

In this week’s podcast, “George Gilder on Superintelligent AI,” tech philosopher George Gilder and computer engineer Robert J. Marks, our Walter Bradley Center director, continued their discussion of the impact of artificial intelligence (AI). This time, they focused on whether, in terms of AI, we are in an Indian summer (a warm period just before winter sets in). Or is AI advancing to a superintelligence that eclipses the intellect of humans? You can download Gilder’s new book, Gaming AI, for free here. The two earlier episodes and transcripts are linked below. And now … https://episodes.castos.com/mindmatters/Mind-Matters-107-George-Gilder.mp3 From the transcript: (Show Notes, Resources, and a link to the complete transcript follow.) Robert J. Marks: Why do you believe that we are on Read More ›

schematic-of-human-brain-and-communication-via-circuit-board-artificial-intelligence-stockpack-adobe-stock.jpg
schematic of human brain and communication via circuit-board, artificial intelligence

George Gilder on Superintelligent AI

George Gilder and Robert J. Marks discuss the human brain, superintelligent machines, artificial intelligence, and George Gilder’s new book Gaming AI: Why AI Can’t Think but Can Transform Jobs (which you can get for free here). Show Notes Additional Resources

top-view-of-modern-intelligence-city-stockpack-adobe-stock.jpg
top view of modern intelligence city

Maps Are Not Territories and Reality Needn’t Follow Our Rules

These assumptions are just two more tales from the AI apocalypse, as George Gilder tells it, in Gaming AI.

Yesterday, we looked at two of the six assumptions that, according to George Gilder (pictured) in Gaming AI, are generally shared by those who believe that we will merge with our machines in a Singularity. These first two assumptions were: The brain is a computer and Big Data is a Big Answer. Now here are two more: • “The Binary Reality Assumption: Reliable links exist between maps and territories, computational symbols, and their objects.” (p. 50) Basically, this assumption means that reality will somehow always phone the computer’s map to say that things have changed. That assumption underlies the push for self-driving cars that can handle any terrain (Level 5). The machine is to handle all possibilities, including remote, unmapped Read More ›

3d-rendering-of-binary-tunnel-with-led-leading-light-concept-for-data-mining-big-data-visualization-machine-learning-data-discovery-technology-customer-product-analysis-stockpack-adobe-stock.jpg
3D Rendering of binary tunnel with led leading light. Concept for data mining, big data visualization, machine learning, data discovery technology, customer product analysis.

The Brain Is Not a Computer and Big Data Is Not a Big Answer

These claims are mere tales from the AI apocalypse, as George Gilder tells it, in Gaming AI

In Gaming AI, George Gilder (pictured) sets out six assumptions generally shared by those who believe that, in a Singularity sometime soon, we will merge with our machines. Some of these assumptions seem incorrect and they are certainly all discussable. So let’s look at the first two: • “The Modeling Assumption: A computer can deterministically model a brain.” (p. 50) That would be quite difficult because brains don’t function like computers: As neuroscientist Yuri Danilov said last year, “Right now people are saying, each synoptical connection is a microprocessor. So if it’s a microprocessor, you have 1012 neurons, each neuron has 105 synapses, so you have… you can compute how many parallel processing units you have in the brain if Read More ›

quantum-computing-concept-with-qubit-icon-3d-rendering-stockpack-adobe-stock.jpg
Quantum computing concept with qubit icon 3d rendering

Will Quantum Mechanics Produce the True Thinking Computer?

Quantum computers come with real world problems of their own

Some hope that quantum mechanics can explain human consciousness. Maybe we are all quantum computers but don’t know it? Maybe quantum computers could think like people? There is an odd relationship between the human mind and quantum mechanics, the science of entities like electrons that are too small to be governed by ordinary physics. Some aspects of consciousness appear to be mediated by such elementary particles. Science writer Philip Ball explains, Nobody understands what consciousness is or how it works. Nobody understands quantum mechanics either. Could that be more than coincidence? Quantum mechanics is the best theory we have for describing the world at the nuts-and-bolts level of atoms and subatomic particles. Perhaps the most renowned of its mysteries is Read More ›

economic-crisis-stock-chart-falling-down-business-global-money-bankruptcy-concept-stockpack-adobe-stock.jpg
economic crisis stock chart falling down business global money bankruptcy concept

Faster Computers Lead to More Wealth, Right? What Could Go Wrong?

What if fast computers get in the way of carefully considering information before starting trades?

In this week’s podcast, tech philosopher George Gilder and computer engineer Robert J. Marks, our Walter Bradley Center director, continued their discussion of the impact of artificial intelligence (AI). This time, they focused on the way AI affects the stock market, for better or worse. You can download Gilder’s new book, Gaming AI, for free here. The first part of the discussion between Gilder and Marks is here. Meanwhile… https://episodes.castos.com/mindmatters/Mind-Matters-106-George-Gilder.mp3 From the transcript: (Show Notes, Resources, and a link to the complete transcript follow.) Robert J. Marks: I had a friend, Jack Marshall, who was a professor of financial engineering. He was approached all the time by people who said, “I have beat the market by artificial intelligence.” And of Read More ›

bitcoin-statistics-stockpack-unsplash.jpg
Bitcoin statistics

Artificial Intelligence Gaming the Stock Market

What are some assumptions about artificial intelligence? How does artificial intelligence affect the stock market? George Gilder and Robert J. Marks discuss assumptions about artificial intelligence, the stock market, and George Gilder’s new book Gaming AI: Why AI Can’t Think but Can Transform Jobs (which you can get for free here). Show Notes Additional Resources

chain-of-amino-acid-or-biomolecules-called-protein-3d-illustration-stockpack-adobe-stock.jpg
Chain of amino acid or biomolecules called protein - 3d illustration

If AlphaFold Is a Product of Design, Maybe Our Bodies Are Too

The deeper we go into science, the more important our unique human contributions become

Recently, we’ve been looking at tech philosopher George Gilder’s new Gaming AI about what AI can—and can’t—do for us. It can’t do our thinking for us but it can do many jobs we don’t even try because no human being has enough time or patience to motor through all the calculations. Which brings us to the massive complexity of the proteins that carry out our genetic instructions—better knowledge of which would help us battle many diseases. Gilder notes that when DeepMind’s AlphaGo beat humans at the board game Go in 2016, it wasn’t just for the fun of winning a game. DeepMind cofounder Demis Hassabis (pictured in 2018) is more interested in real-life uses such as medical research (p. 11). Read More ›

getting-to-know-the-neighbors-at-the-country-houses-in-village-stockpack-adobe-stock.jpg
Getting to know the neighbors at the country houses in village

Why Is AI a Key Battleground in Philosophy and Religion?

Tech philosopher George Gilder explains. Spoiler: He thinks humans will win

In this week’s podcast, Walter Bradley Center director Robert J. Marks interviews futurist George Gilder on “How AI is gaming intelligence.” Their discussion stems from Gilder’s new book, Gaming AI: Why AI Can’t Think But Can Transform Jobs (free for download here). https://episodes.castos.com/mindmatters/Mind-Matters-105-George-Gilder.mp3 From the transcript: (Show Notes, Resources, and a link to the complete transcript follow.) Robert J. Marks (pictured): In general, do you see AI as a new demotion of the human race? This is pretty serious prose. George Gilder: Well, it declares that the human mind is just a machine that can be simulated by computer algorithms … thus demoting the human endeavor from being the center of everything, to becoming a mere planet of a larger Read More ›

artificial-intelligence-composition-on-the-subject-of-future-technologies-3d-rendered-graphics-stockpack-adobe-stock.jpg
Artificial Intelligence. Composition on the subject of Future Technologies. 3d rendered graphics.

Why AI Geniuses Haven’t Created True Thinking Machines

The problems have been hinting at themselves all along

As we saw yesterday, artificial intelligence (AI) has enjoyed a a string of unbroken successes against humans. But these are successes in games where the map is the territory. Therefore, everything is computable. That fact hints at the problem tech philosopher and futurist George Gilder raises in Gaming AI (free download here). Whether all human activities can be treated that way successfully is an entirely different question. As Gilder puts it, “AI is a system built on the foundations of computer logic, and when Silicon Valley’s AI theorists push the logic of their case to a “singularity,” they defy the most crucial findings of twentieth-century mathematics and computer science.” Here is one of the crucial findings they defy (or ignore): Read More ›