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Why AI Chess Champs Are Not Taking Over the World

Mastery of closed-world games does not mean that AI can take over and run everything

At one time, the AI that beat humans at chess calculated strategies by studying the outcomes of human moves. Then, it turned out, there was a faster way: In October 2017, the DeepMind team published details of a new Go-playing system, AlphaGo Zero, that studied no human games at all. Instead, it started with the game’s rules and played against itself. The first moves it made were completely random. After each game, it folded in new knowledge of what led to a win and what didn’t. At the end of these scrimmages, AlphaGo Zero went head to head with the already superhuman version of AlphaGo that had beaten Lee Sedol. It won 100 games to zero. Joshua Sokol, “Why Artificial Read More ›

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Fembot Robot Playing Chess with Woman

Are Computers That Win at Chess Smarter Than Geniuses?

No, and we need to look at why they can win at chess without showing even basic common sense

Big computers conquered chess quite easily. But then there was the Chinese game of go (pictured), estimated to be 4000 years old, which offers more “degrees of freedom” (possible moves, strategy, and rules) than chess (2×10170). As futurist George Gilder tells us, in Gaming AI, it was a rite of passage for aspiring intellects in Asia: “Go began as a rigorous rite of passage for Chinese gentlemen and diplomats, testing their intellectual skills and strategic prowess. Later, crossing the Sea of Japan, Go enthralled the Shogunate, which brought it into the Japanese Imperial Court and made it a national cult.” (p. 9) Then AlphaGo, from Google’s DeepMind, appeared on the scene in 2016: As the Chinese American titan Kai-Fu Lee Read More ›

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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 ›

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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 ›

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Intelligent robot cyborg using digital globe interface 3D rendering

Why AI Geniuses Think They Can Create True Thinking Machines

Early on, it seemed like a string of unbroken successes …

In George Gilder’s telling, the story goes back to Bletchley Park, where British codebreakers broke the “unbreakable” Nazi ciphers. In Gaming AI, the tech philosopher and futurist traces the modern concept of a machine that really thinks for itself back to its earliest known beginnings. Free for download, his concise book also explains why the programmers were bound to fail in their quest for the supermachine. But let’s start with why they thought—and many today still think— it could work. Success emboldened the pioneers to dream of a final AI triumph They had every reason to be emboldened by success. Special computers called “bombes,” created by Alan Turing’s team, broke every version of the famous Enigma code used by the Read More ›

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Robot concept or robot hand chatbot pressing computer keyboard enter

Can a Machine Really Write for the New Yorker?

If AI wins at chess and Go, why not? Then someone decided to test that…

Tech philosopher and futurist George Gilder (pictured) has a new book out, Gaming AI. Short and sweet, it explains how artificial intelligence (AI) will—and won’t—revolutionize the economy and human life. Get your free digital copy here. And now, below is a short piece he wrote, unpacking one of the book’s themes—the claim that AI can do anything that humans can do. Find out why he says no: Ilya Sutskever (pictured) may be the smartest man in the world you have never heard of. No sweat, I hadn’t heard of him either. Still under 40, he’s part of the all-male Google mindfest around “Google Brain.” His IQ honed at Open University of Israel and mentored by Artificial Intelligence (AI) pioneer Geoffrey Read More ›

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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 Read More ›

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Do We Need To Learn from AI How To Think Better?

No, and a moment’s thought shows why not
AI can become our "collaborators" only in the sense that a shovel can collaborate with me to dig a hole: It amplifies my powers to do things which are otherwise difficult. Read More ›