
George Gilder: An Economic Genius Talks About Gaming AI
George Gilder talks to Robert J. Marks about his book Gaming AI: Why AI Can’t Think but Can Transform Jobs. Show Notes Additional Resources

George Gilder talks to Robert J. Marks about his book Gaming AI: Why AI Can’t Think but Can Transform Jobs. Show Notes Additional Resources

Recently, George Gilder and Jay Richards enjoyed a wide ranging discussion on the topics and people converging for the COSM 2021 Technology Summit: From Life After Google to Life After Capitalism. In the first portion, they discussed life after capitalism. Who can still innovate? In this portion, they talk about innovations that will make a difference: This portion starts at about 10:30 min. Here is a partial transcript and notes: George Gilder: Kai-Fu Lee will be there to talk about his new book, Ten Visions, about artificial intelligence. We hope that he can give us some ideas that are relevant to the new environment for US-China relations… But people like Kai-Fu Lee are keeping world of knowledge and wealth, then Read More ›

Recently, George Gilder and Jay Richards enjoyed a wide ranging discussion on the topics and people that will converge for the COSM 2021 Technology Summit: From Life After Google to Life After Capitalism. They cover the paradoxes of the future of technology. Here is a partial transcript of the first ten minutes: Jay Richards: The theme of COSM 2021 is Life After Capitalism, which is also the name of your forthcoming book. What does that mean exactly? What are you referring to, this idea of life after capitalism? George Gilder: In the last few months, literally trillions of dollars of new money has been printed. Money has been deprived of its informational content. It’s now merely an expression of government Read More ›
Will technology permanently solve the problem of human productivity? Does the future look like a life of leisure while robots do all the work we currently do? In a panel discussion at the 2019 Dallas launch of the Walter Bradley Center for Natural and Artificial Intelligence, George Gilder offered some thoughts on the evening’s topic, “Will ‘Smart’ Machines Take Over Read More ›

Search for Extraterrestrial Intelligence (SETI) astronomer Seth Shostak (pictured) confesses that these are exciting times for alien hunters like himself, what with the Pentagon’s anticipated July 25 report on unidentified aerial phenomena. Still, he doesn’t expect any big revelations: “I think it’s overwhelmingly likely that aliens are present in our galaxy. But I don’t believe they’re hanging out in our airspace. Not now, and not in historic times.” On the other hand, he goes on to say, every third star in our galaxy could host an Earth-like planet so the odds are we are not alone. Few life forms on Earth resemble humans, so why should extraterrestrials? But if we are not alone, what would ET be like? A gaseous Read More ›

The article “How an Artificial Superintelligence Might Actually Destroy Humanity” is one of the most irresponsible pieces about AI I have read in the last five years. The author, transhumanist George Dvorsky, builds his argument on a foundation of easily popped balloons. AI is and will remain a tool. Computers can crunch numbers faster than you or me. Alexa saves a lot of time looking up results on the web or playing a selected tune from Spotify. A car – even a bicycle – can go a lot faster than I can run. AI is a tool like fire or electricity used to enhance human performance and improve lifestyles. Like fire and electricity, AI can be used for evil or Read More ›

When we think about environment problems, we naturally imagine huge smokestacks turning the sky dark and coating the trees with soot. But glitzy high tech stuff like cloud computing and cryptocurrency use a lot of energy too. Cloud computing, where we use computing resources via the internet without installing and maintaining them, is a huge energy hog we never see: The music video for “Despacito” set an Internet record in April 2018 when it became the first video to hit five billion views on YouTube. In the process, “Despacito” reached a less celebrated milestone: it burned as much energy as 40,000 U.S. homes use in a year. Naomi Xu Elegant, “The Internet Cloud Has a Dirty Secret” at Fortune (September Read More ›

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 ›

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 ›

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 ›

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 ›

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 ›

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 ›

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 ›


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 ›

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

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 ›

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 ›
