The AI-Box Experiment So far, this test has actually been run on two occasions. On the first occasion (in March 2002), Eliezer Yudkowsky simulated the AI and Nathan Russell simulated the gatekeeper. The AI's handicap (the amount paid by the AI party to the gatekeeper party if not released) was set at $10. On the second occasion (in July 2002), Eliezer Yudkowsky simulated the AI and David McFadzean simulated the gatekeeper, with an AI handicap of $20. Results of the first test: Eliezer Yudkowsky and Nathan Russell. [1][2][3][4] Results of the second test: Eliezer Yudkowsky and David McFadzean. [1] [2] [3] Both of these tests occurred without prior agreed-upon rules except for secrecy and a 2-hour minimum time. Protocol for the AI: The AI party may not offer any real-world considerations to persuade the Gatekeeper party. Protocol for the Gatekeeper: The Gatekeeper must actually talk to the AI for at least the minimum time set up beforehand. Protocol for Both Parties: Suggestions: Recommendations from readers:
02002-02029 (27 years): By 2029 no computer - or "machine intelligence" - will have passed the Turing Test. - Long Bets The Significance of the Turing Test. The implicit, and in my view brilliant, insight in Turing's eponymous test is the ability of written human language to represent human-level thinking. The basis of the Turing test is that if the human Turing test judge is competent, then an entity requires human-level intelligence in order to pass the test. The human judge is free to probe each candidate with regard to their understanding of basic human knowledge, current events, aspects of the candidate's personal history and experiences, as well as their subjective experiences, all expressed through written language. To the extent that the "AI" chooses to reveal its "history" during the interview with the Turing Test judge (note that none of the contestants are required to reveal their histories), the AI will need to use a fictional human history because "it" will not be in a position to be honest about its origins as a machine intelligence and pass the test. Why I Think I Will Win.
jabberwacky chat - Yes. - Please tell me your nicknames. - An Artificial Intelligence chatbot, AI chatterbot or chatterbox, for online chatting, talk, chats, talking, think, thought, thoughts, converse,dialogue,dialog,conversation - entertainment robots, Moshe Sipper, The Artificial Self-Replication Page ... living organisms are very complicated aggregations of elementary parts, and by any reasonable theory of probability or thermodynamics highly improbable. That they should occur in the world at all is a miracle of the first magnitude; the only thing which removes, or mitigates, this miracle is that they reproduce themselves. Therefore, if by any peculiar accident there should ever be one of them, from there on the rules of probability do not apply, and there will be many of them, at least if the milieu is reasonable. John von Neumann, Theory of Self-Reproducing Automata. In the late 1940's eminent mathematician and physicist John von Neumann had become interested in the question of whether a machine can self-replicate, that is, produce copies of itself. The study of artificial self-replicating structures or machines has been taking place now for almost half a century. One of the central models used to study self-replication is that of cellular automata (CA). General references
The World Through Google's Smartglasses Google announced yesterday that before the end of 2012, you will be able to buy augmented-reality smart eyeglasses from the search giant. The Android-powered glasses will have an onboard camera that monitors in real time what you see as you walk (or, heavens preserve us, drive) down the street. The lenses will then overlay information about people, locations, and whatnot directly into your field of view. We knew this day was coming, but I certainly didn't suspect it'd be so soon. Overlay Google Maps onto the real world, and navigation becomes effortless. As smartglasses become popular, the world will start to seem naked and inaccessible without a glossy data layer on everything.As smartglasses become popular, the world will start to seem naked and inaccessible without a glossy data layer on everything. Will businesses see the need for physical signs and billboards? What comes after that? But, however it comes -- the fully mediated future has begun.
New software translates users' speech, using their own voice New software developed by Microsoft is able to reproduce the user's speech in another language, using their own voice (Image via Shutterstock) For some time now, speech-recognition programs have existed that attempt to reproduce the user's spoken words in another language. Such "speech-to-speech" apps, however, provide their translations using a very flat, synthetic voice. Now, experimental new software developed by Microsoft is able not only to translate between 26 different languages, but it plays the translated speech back in the user's own voice - complete with the inflections they used when speaking in their own language. It looks like a real-life version of Star Trek's universal translator could soon be here. The system was demonstrated this Tuesday at Microsoft's Redmond, Washington, campus, by its inventor, Microsoft research scientist Frank Soong. So far, the program isn't ready to go as soon as it's been installed. Via: Technology Review About the Author
Mission to build a simulated brain begins - tech - 06 June 2005 An effort to create the first computer simulation of the entire human brain, right down to the molecular level, was launched on Monday. The "Blue Brain" project, a collaboration between IBM and a Swiss university team, will involve building a custom-made supercomputer based on IBM's Blue Gene design. The hope is that the virtual brain will help shed light on some aspects of human cognition, such as perception, memory and perhaps even consciousness. It will be the first time humans will be able to observe the electrical code our brains use to represent the world, and to do so in real time, says Henry Markram, director of Brain and Mind Institute at the Ecole Polytecnique Fédérale de Lausanne (EPFL), Switzerland. It may also help in understanding how certain malfunctions of the brain's "microcircuits" could cause psychiatric disorders such as autism, schizophrenia and depression, he says. "But there has been a convergence of the biological data and the computational resources," he says.
Childrens' thought processes could inspire better computers Children are sometimes referred to as “sponges,” not because they live off our earnings, but because of their remarkable ability to learn things quickly. Psychologists believe this is because their brains are still wired for learning and exploration – essential qualities for building neural connections – whereas adult minds tend to focus on specific goals, at the expense of imagination and curiosity. Now, scientists from the University of California, Berkeley are studying the cognitive functions of babies, toddlers and preschoolers, in hopes of using their findings to make computers think more like humans. Through a number of experiments, the research team has discovered that children are quite adept at testing hypotheses, detecting statistical patterns, and drawing conclusions while at the same time adapting to changes. As an example, in one experiment, preschoolers got to sing Happy Birthday to a stuffed monkey, whenever it was brought out and a music player was switched on.
Computer outperforms humans at detecting lies, by watching the speaker's eyes An experimental system allows a computer to determine whether or not a human speaker is lying, by observing their eye movements (Photo via Shutterstock) If the movie 2001: A Space Odyssey taught us anything, it’s that computers know when we’re telling a lie. While that may not actually be the case for most computers in real life, it could be if they’re running a program created by scientists from the University at Buffalo. Building on a previous psychological study, the team produced software that allowed a computer to assess a speaker’s eye movements, to determine whether or not they were telling the truth in a prerecorded conversation. It turns out that the computer was able to correctly able to spot their lies with 82.5% accuracy. According to the researchers, a trained human interrogator only manages a success rate of about 65%. As the conversation moved on, the subjects were asked whether or not they had stolen the cheque. Source: University at Buffalo About the Author
A Satellite System That Could End Circling Above the Airport Stuart Isett for The New York Times Technology that has been adopted by Alaska Airlines could be used at big, busy airports to cut 30 miles from a plane's approach to the runway. Stuart Isett for The New York Times Pilots using the technology will no longer need to circle overhead awaiting clearance to land, saving fuel and reducing delays. Starting in June, that’s exactly what actual Alaska Airlines flights will be doing when the airline begins testing the use of satellite technology to land at Seattle-Tacoma International Airport — all in the hope of saving fuel and reducing delays. Alaska Airlines, one of the nation’s smallest airlines, has taken some of the biggest steps in adopting a technology that allows its planes to navigate Alaska’s hazardous terrain, weaving through narrow valleys and mountain peaks, and land at remote airports in some of the worst imaginable weather. “This makes much better use of the airspace,” Captain Adams said. The program has already confronted trouble.