His paper, “Artificial General Intelligence Is Nowhere Near, Artificial Specific Stupidity Is Already Here,” challenges both hype and groundless fear.
Read More ›
I still find it hard to see the connection between physics and neural networks but if it’s there, Paul Werbos and Bernie Widrow should have won the Nobel Prize.
Read More ›
Economist George Gilder notes that creativity in invention and entrepreneurism is characterized by innovative surprise.
Read More ›
ChatGPT is a direct descendent of GPT-3, and is a fancy form of a fancy machine learning algorithm called a neural network. For an overview of all of ChatGPT’s neural network complexity, here is a fun article. However, all that is beside the point. The important thing about a neural network: It can only generate what is in its training data. Therefore, ChatGPT can only produce what is in its training data. ChatGPT’s training data does not include the conversation you or I are having with ChatGPT. Therefore, if something novel occurs in the conversation, ChatGPT cannot reproduce it. That is, if ChatGPT is a neural network. Conversely, if ChatGPT reproduces novel text from the conversation, then ipso facto ChatGPT is not a Read More ›
In the podcast released today, Walter Bradley Center director Robert J. Marks interviewed pediatric neurologist Dr. Andrew Knox from the University of Wisconsin School of Medicine and Public Health on “Ways the brain can break” (#220, January 5, 2023): The brain is a marvelous organ still not understood. Artificial neural networks are supposed to be a simulation of the human brain. But comparing the brain to an artificial neural network is like comparing the human heart to a pump handle. Dr. Andrew Knox and Dr. Robert J. Marks discuss the brain, aging, and neurology. https://mindmatters.ai/wp-content/uploads/sites/2/2022/12/Mind-Matters-220-Andrew-Knox-Episode-1.mp3 This portion begins at 00:04 min. A partial transcript and Additional Resources follow. Robert J. Marks: I got to ask you kind of a personal Read More ›
In the movie Fiddler on the Roof there is a debate at one point. After listening to the cases made, a listener agrees with conclusions made from both sides of a conflict. Someone points out that “they can’t both be right!” to which the agreeable listener says “You know, you are also right.” Interestingly, the claim that the two sides of an issue will always be in opposition is not always true. The two sides can be in apparent conflict and both be right. Sometimes, but not always. The classic example is the blind men and the elephant. After feeling the elephant’s leg, one blind man says the elephant is like a tree. After feeling the elephant’s tail, another says the elephant Read More ›
Is AI fundamentally flawed? Can Elon Musk merge man with machines? Will there ever be self-driving cars? Join us as we revisit the top 12 most over-hyped stories in artificial intelligence from 2020 with Robert J. Marks, Jonathan Bartlett, and Eric Holloway. Show Notes Additional Resources
An ultimate test of a successful technology is whether it has been reduced to practice. Has it made a financial impact on the market? Has it been adopted by the very picky US military? Has it changed lives? We’re going to count down the AI Smash Hits: the top ten AI success stories for 2020. Join Dr. Robert J. Marks as he Read More ›
There are many forces that shape the hyped AI stories we read. Media is everywhere and competition is fierce. Articles with provocative headlines and content are clickbait for the browsing consumer. We’re going to count down the AI Dirty Dozen: the top twelve AI hyped stories for 2020. Join Dr. Robert J. Marks as he discusses some of these stories with Read More ›
Our Walter Bradley Center director Robert J. Marks has been interviewing fellow computer nerds (our Brain Trust) Jonathan Bartlett and Eric Holloway about 12 overhyped AI concepts of the year. From AI Dirty Dozen 2020 Part II. Now here’s #7. Computers can create their own video games, no imagination involved! Or maybe… wait … don’t invest just yet … https://episodes.castos.com/mindmatters/Mind-Matters-114-Jonathan-Bartlett-Eric-Holloway.mp3 “Computers can create their own video games” starts at 05:07. Here’s a partial transcript. (Show Notes and Additional Resources follow, along with a link to the complete transcript.) Robert J. Marks: Okay. Number seven. AI can implement video games just by watching. This was from an article called “Learning to simulate dynamic environments with gameGAN.” Eric Holloway (pictured): Yeah but Read More ›
There are many forces that shape the hyped AI stories we read. Media is everywhere and competition is fierce. Articles with provocative headlines and content are clickbait for the browsing consumer. We’re going to count down the AI Dirty Dozen: the top twelve AI hyped stories for 2020. Join Dr. Robert J. Marks as he discusses some of these stories with 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
Many researchers hope that AI will leading to a“golden age” of discovery for lost languages, hard to decipher writings, and badly damaged Biblical scrolls. Algorithms can chug through vast numbers of possibilities of interpretation, presenting the scholar with probabilities to choose from. But even powerful algorithms have their work cut out for them. For example, of the hundreds of thousands of clay (cuneiform) tablets that survive from an ancient part of the Near East called Mesopotamia, many are damaged. We may know the language but we don’t know what’s missing from the text and what difference the missing part makes to what is being said. Experts try to fill in the missing parts but guessing at all the possibilities is Read More ›
Robert J. Marks talks with Larry L. Linenschmidt of the Hill Country Institute about nature and limitations of artificial intelligence from a computer science perspective including the misattribution of creativity and understanding to computers. Other Larry L. Linenschmidt podcasts from the Hill Country Institute are available at HillCountryInstitute.org. We appreciate the permission of the Hill Country Institute to rebroadcast this Read More ›
Artificial intelligence has been in the news for a long time. Robert J. Marks airs one of his older interviews with Jim French on KIRO Radio to show the similarity to today’s reporting on artificial intelligence. Mind Matters News appreciates the permission of Jim French and KIRO Radio in Seattle to rebroadcast this interview. Show Notes 01:08 | Do computers Read More ›
Those dealing with data must always remember “If you torture data long enough, it will confess to anything.” The answers that computers give must themselves be questioned. Robert J. Marks and Gary Smith address artificial intelligence, spurious correlations, and data research on Mind Matters. Show Notes 01:34 | Introduction to Gary Smith, the Fletcher Jones Professor of Economics at Pomona Read More ›
Robert J. Marks talks with Larry L. Linenschmidt of the Hill Country Institute about the misattribution of creativity and understanding to computers. This is Part 2 of 2 parts. Other Larry L. Linenschmidt podcasts from the Hill Country Institute are available at HillCountryInstitute.org. We appreciate the permission of the Hill Country Institute to rebroadcast this podcast on Mind Matters. Show Read More ›
About a year ago, I wrote that mounting AI hype would likely give way to yet another AI winter. Now, according to the panelists at “the world’s leading academic AI conference” the temperature is already falling.
Read More ›
Robert J. Marks talks with Larry L. Linenschmidt of the Hill Country Institute about the nature and limitations of artificial intelligence from a computer science perspective. This is Part 1 of 2 parts. Other Larry L. Linenschmidt podcasts from the Hill Country Institute are available at HillCountryInstitute.org. We appreciate the permission of the Hill Country Institute to rebroadcast this podcast Read More ›
We’re stuck, working for free, training the Web giants’ ML systems to reap benefits for them while enduring (assuming we notice) the downsides.
Read More ›