What You Do That Artificial Intelligence Never Will by Mind Matters podcast host Robert J. Marks is now available in audiobook form. Listen now to an excerpt from the second chapter as read by Larry Nobles. Will machines someday replace attorneys, physicians, computer programmers, and world leaders? What about composers, painters, and novelists? Will tomorrow’s supercomputers duplicate and exceed humans? Read More ›
The Google-backed AI company DeepMind made headlines in March 2016 when its AlphaGo game AI engine was able to defeat Lee Sedol, one of the top Go players in the world. DeepMind followed up this great achievement with the AlphaZero engine in 2017, which made the remarkable achievement of soundly beating AlphaGo in Go as well as one of the world’s best chess engines in chess. The interesting difference between AlphaGo and AlphaZero is that AlphaGo uses databases of top human games for learning, while AlphaZero only learns by playing against itself. Using the same AI engine to dominate two different games, while also discarding reliance on human games suggests that DeepMind has found an algorithm that is intrinsically superior Read More ›
DeepMind, a part of Alphabet (i.e., Google), has made many headlines in the past. The biggest was its development of AlphaGo, which used reinforcement learning to beat the number one Go player at the time (2017). DeepMind generalized this into AlphaZero, which is supposedly able to solve any two-player game of perfect information. DeepMind has come back into headlines recently with the attempt to build an AI which can generate any algorithm. While they are starting with map data, the goal is to generalize this and generate any desired algorithm. The search for such a “universal algorithm” has been essentially equivalent to the search for a perpetual motion machine in physics. The allure of both is obvious. In physics, if you 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 00:01:10 | Introducing Jonathan Bartlett 00:01:37 | Introducing Dr. Eric Holloway 00:02:00 | #12: “The way Read More ›
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 ›
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. Lots of stuff happened and it’s the time of year for fun and entertainment! So here’s #9: Erica the Robot, from Japan, is to star in a film (filming begins in 2021): #9 starts at about 16:58 A partial transcript, Show Notes, and Additional Resources follow. A link to the complete transcript follows the Additional Resources. Robert J. Marks: Okay. We are counting down the Dirty Dozen hyped AI stories of 2020, and we’re at #9. In June 2020 in The Hollywood Reporter, we learned of the robot in the 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 ›
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 ›
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 ›
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 ›
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 ›
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 ›
If Alphabet’s Deep Mind or Microsoft had successfully data mined the 29,000 papers and found useful coronavirus information, that would be pretty impressive. But they appear to be giving others a chance to try instead, raising issues once again about the value of data mining in medicine.
The feats of machines like AlphaGo are due to superior computational power, not to creativity at originating new ideas. Computer scientist Selmer Bringsjord sees the ability to write, say, a novel of ideas as a more realistic test of human vs. computer achievement.
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? Robert J. Marks and Dr. Selmer Bringsjord discuss the Turing test, the Lovelace test, and machine 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 ›
Mundie, former Microsoft Chief Research & Strategy Officer, formerly told his audience that Big Data will enable each person to be “completely understood” by machines that can produce a computer facsimile of each detail. It would be far too complex for human physicians to make sense of, he said.
The question scientists must ask, especially about an unexpected finding, is, if no one can reproduce your results, did you discover something new or did you just get lucky? With AI that’s not easy, due to dependence on randomness. Read More ›
Our surprise at AlphaGo’s move says more about our inability to predict what a program will do than about any creative effort of the program. We’ve known for decades that we cannot predict the results of any moderately complex computer program.