Do you trust your pocket calculator? Why? Maybe you’re using the calculator app on your phone. Enter: 2 + 2. You get an answer: 4. But you knew that already. Now enter 111 x 111. Do you get 12,321? Is that the correct answer? Work it out with a pencil. That answer is correct. Try 1234 x 5678. My calculator app returns 7,006,652. Correct? I’m not going to check it. I’m going to trust the calculator. And so it goes. The harder the problem, the more we trust the computer. That’s one reason why many people trumpet the powers of Artificial Intelligence (AI) systems. Those systems can give answers to problems we individuals couldn’t solve in a lifetime. But are the AI “answers” correct? Read More ›
Perhaps you’ve heard of the “mind-body problem,” but what about the relationship between the mind and the brain? Is the mind just an illusion produced by the brain or is it something totally separate? Robert Marks talks with neurologist Andrew Knox on these topics and more in this week’s Mind Matters podcast episode. Additional Resources
In 1987 economics Nobel Laureate Robert Solow said that the computer age was everywhere—except in productivity data. A similar thing could be said about AI today: It dominates tech news but does not seem to have boosted productivity a whit. In fact, productivity growth has been declining since Solow’s observation. Productivity increased by an average of 2.7% a year from 1948 to 1986, by less than 2% a year from 1987 to 2022. Labor productivity is the amount of goods and services we produce in a given amount of time—output per hour. More productive workers can build more cars, construct more houses, and educate more children. More productive workers can also enjoy more free time. If workers can do in four 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 ›
The Turing test, developed by Alan Turing in 1950, is a test of a machine’s ability to exhibit intelligent behaviour indistinguishable from a human. Many think that Turing’s proposal for intelligence, especially creativity, has been proven inadequate. Is the Lovelace test a better alternative? What are the capabilities and limitations of AI? Robert J. Marks and Dr. Selmer Bringsjord discuss Read More ›
Will computers ever be conscious? What happens to our consciousness after we die? Has science made philosophy irrelevant? Dr. Michael Egnor and Dr. Bernardo Kastrup discuss consciousness, artificial intelligence, and philosophy. Show Notes 00:38 | Introducing Dr. Bernardo Kastrup 01:12 | Can computers think? 03:34 | Intentionality 07:11 | Does the natural world have a person behind it? 10:34 | Read More ›
There are some who say immortality is available if we can upload our minds to a computer. This presupposes our minds are computable and can be duplicated by a computer. Are our minds computable? Robert J. Marks and Dr. Selmer Bringsjord discuss consciousness, cognition, and artificial intelligence. Show Notes 00:39 | Introducing Selmer Bringsjord, Professor — Rensselaer Polytechnic Institute (RPI) Read More ›
As soon as you assume that each neuron is a microprocessor, says Danilov, you assume that there is a programmer. There is no programmer in the brain; there are no algorithms in the brain. However, it is "extremely painful" for many people to let go of the idea.
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 ›
Seeing the brain as a computer doesn’t tell us as much as we might think. When human beings build computers, we design them in a way that we can understand and use. So we think our brains must be like that too. Sure enough, in the vast complexity of our brains, we can surely find some elements that remind us of a computer. Others won’t.
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