Mind Matters Natural and Artificial Intelligence News and Analysis

TagJohn Searle

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Technology in human and machine concept as advanced tech or robots taking over humanity and people merging with a cyborg or computers idea

New Book Massively Debunks Our “AI Overlords”: Ain’t Gonna Happen

AI researcher and tech entrepreneur Eric J. Larson expertly dissects the AI doomsday scenarios

AI researcher and tech entrepreneur Eric J. Larson has just published a book, The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do (Harvard University Press, 2021). It debunks the “AI is taking over” claims from people as varied as futurist inventor Ray Kurzweil and the late Stephen Hawking — media love that sort of thing. We are less likely to hear from well-qualified people who say it’s nonsense. But now is our chance. For example, iconic Silicon Valley entrepreneur Peter Thiel (think PayPal) offers an endorsement: “If you want to know about AI, read this book. For several reasons ― most of all because it shows how a supposedly futuristic reverence for Artificial Intelligence retards progress…

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human brain on technology background represent artificial intelligence and cyber space concept

Why “the Mind Is Just a Computation” Is a Fatally Flawed Idea

Much modern neuroscience can be characterized as a collection of weak metaphors about the mind and brain. This is one of them

The computational theory of mind (CTM) is the theory that the mind is a computation (calculation) done by the brain. That is, the mind works by rule-based manipulation of symbols, which is what a computer does — computation. Thus our mental states are computational states. Several prominent philosophers have held this view, notably Hilary Putnam (1926–2016) and Jerry Fodor (1935–2017) , and more recently Matthias Scheutz, among several others. I believe that the computational model of the mind is fatally flawed. Here are some reasons: The most obvious reason is that all mental states have meaning — that is, they are intentional. Intentionality means that our thoughts are about something — there is always an object to which a thought…

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Oh no!

Six Limitations of Artificial Intelligence As We Know It

You’d better hope it doesn’t run your life, as Robert J. Marks explains to Larry Linenschmidt

The list is a selection from “Bingecast: Robert J. Marks on the Limitations of Artificial Intelligence,” a discussion between Larry L. Linenschmidt of the Hill Country Institute and Walter Bradley Center director Robert J. Marks. The focus on why we mistakenly attribute understanding and creativity to computers. The interview was originally published by the Hill Country Institute and is reproduced with thanks.  https://episodes.castos.com/mindmatters/Mind-Matters-097-Robert-Marks.mp3 Here is a partial transcript, listing six limits of AI as we know it: (The Show Notes, Additional Resources, and a link to the full transcript are below.) 1. Computers can do a great deal but, by their nature, they are limited to algorithms. Larry L. Linenschmidt: When I read the term “classical computer,” how does a computer function? Let’s build on…

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What Did the Computer Learn in the Chinese Room? Nothing.

Computers don’t “understand” things and they can’t handle ambiguity, says Robert J. Marks

Larry L. Linenschmidt interviews Robert J. Marks on the difference between performing a task and understanding the task, as explained in philosopher John Searle’s famous “Chinese Room” thought experiment.

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Bingecast: Is Cheese Consumption Causing Deaths from Tangled Sheets?

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…

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Edward Feser on Neurobabble and Remembering the Right Questions

Edward Feser dismantles many of the simplistic reads of contemporary neuroscience

Michael Egnor hosts a captivating conversation with Edward Feser, Aristotelian, prolific blogger, and philosopher of mind. Neurobabble and pop science dismissals of the mind, final causes, abstract thought, and free will each face Feser’s piercing critique.

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A Short Argument Against the Materialist Account of the Mind

You can simply picture yourself eating a chocolate ice cream sundae.
We have thoughts and ideas—what philosophers call “intentional” states—that are about things other than themselves. We don’t really know how this works. But whenever we speak to another person, we assume it must be true. And in our own case, we know it’s true. Even to deny it is to affirm it. Read More ›