It looks like you're using an Ad Blocker.
Please white-list or disable AboveTopSecret.com in your ad-blocking tool.
Some features of ATS will be disabled while you continue to use an ad-blocker.
originally posted by: ScientificRailgun
a reply to: Kuroodo
The problem comes when the program becomes aware of it's own code, and takes steps to modify it.
originally posted by: mindseye1609
a reply to: Hefficide
to the future!
So many possibilities it's mind numbing! This is where most people's fear comes from the unknown and inability to know no matter how hard they try.
I say embrace it. Swim in the unknown like an ocean and just try to relate. Stay humble and be ready to learn and it'll be fun!
originally posted by: DexterRiley
Elon Musk is an extraordinary visionary. I certainly don't doubt what he is saying. He has a great deal of experience and a broad knowledge base. I simply can't fathom why he's so adamant that AI research needs to be constrained.
Other futurists, with whom I concur, believe that General AI will come into being as part of the merging of humanity with the machine. The AI will be like us, sharing our values and beliefs.
originally posted by: Kuroodo
Honestly the only possibly way for us to be in danger would be if someone finds out a way to actually create a machine with a consciousness. But who would be idiot enough to do that without setting up rules?
AI will be like extremely autistic savants and will be more similar to the Jeopardy machine; a whole bunch of natural language processing connected to semantic database search with some powerful neural network models specifically programmed and invented by humans but specialized for very specific tasks.
Thompson realised that he could use a standard genetic algorithm to evolve a configuration program for an FPGA and then test each new circuit design immediately on the chip. He set the system a task that appeared impossible for a human designer. Using only 100 logic cells,evolution had to come up with a circuit that could discriminate between two tones, one at 1 kilohertz and the other at 10 kilohertz.
To kick off the experiment, Thompson created a population of 50 configuration programs on a computer, each consisting of a random string of 1s and 0s. The computer downloaded each program in turn to the FPGA to create its circuit and then played it the test tones (see Diagram, below). The genetic algorithm tested the fitness of each circuit by checking how well it discriminated between the tones. It looked for some characteristic that might prove useful in evolving a solution. At first, this was just an indication that the circuit's output was not completely random. In the first generation, the fittest
individual was one with a steady 5-volt output no matter which audio tone it heard.
After testing the initial population, the genetic algorithm killed off the least fit individuals by deleting them and let the most fit produce copies of themselves--offspring. It mated some individuals, swapping sections of their code. Finally, the algorithm introduced a small number of mutations by randomly switching 1s and 0s within individual programs. It then downloaded the new population one at a time onto the FPGA and ran the fitness tests once more.
By generation 220, the fittest individual produced outputs almost identical to the inputs--two waveforms corresponding to 1 kilohertz and 10 kilohertz--but not yet the required steady output at 0 volts or 5 volts (see Diagram, below right). By generation 650, the output stayed mostly high for the 1 kilohertz input, although the 10 kilohertz input still produced a waveform. By generation 1400, the output was mostly high for the first signal and mostly low for the second. By generation 2800, the fittest circuit was discriminating accurately between the two inputs, but there were still glitches in its output. These only disappeared completely at generation 4100. After this, there were no further changes.
Evolvable hardware (EH) is a new field about the use of evolutionary algorithms (EA) to create specialized electronics without manual engineering. It brings together reconfigurable hardware, artificial intelligence, fault tolerance and autonomous systems. Evolvable hardware refers to hardware that can change its architecture and behavior dynamically and autonomously by interacting with its environment.
Death - In 1992, Thaler shocked the world with bizarre experiments in which the neurons within artificial neural networks were randomly destroyed. Guess what? The nets first relived all of their experiences (i.e., life review) and then, within advanced stages of destruction, generated novel experience. From this research emerged both a compelling mathematical model of near-death experience (NDE) and the basis of truly creative and contemplative artificial intelligence.
Cognition, Consciousness, and Creativity - After witnessing some really great ideas emerge from the near-death experience of artificial neural networks, Thaler decided to add additional nets to automatically observe and filter for any emerging brainstorms. From this network architecture was born the Creativity Machine (US Patent 5,659,666). Thaler has proposed such neural cascade as a canonical model of consciousness in which the former net manifests what can only be called a stream of consciousness while the second net develops an attitude about the cognitive turnover within the first net (i.e., the subjective feel of consciousness). In this theory, all aspects of both human and animal cognition are modeled in terms of confabulation generation. Thaler is therefore both the founder and architect of confabulation theory and the patent holder for all neural systems that contemplate, invent, and discover via such confabulations.
Current Position: President & CEO, Imagination Engines, Inc.
Undergraduate Education: B.A. Westminster College, Summa Cum Laude, Majored in Chemistry, Physics, Mathematics, and Russian.
Graduate Education: Masters work at UCLA in chemistry, Ph.D. in physics, University of Missouri-Columbia.
Work Experience: 1973-1974, Production Chemist for Mallinckrodt Nuclear, 1981-95, Principal Technical Specialist, McDonnell Douglas, 1995-Present, President and CEO, Imagination Engines, Inc. Thaler also serves as Principal Scientist for Sytex, Inc.
Thaler has worked diverse technology areas that have included (1) nuclear radiation vulnerability and hardening, (2) high-energy laser interactions with solids, (3) electromagnetic signatures, (4) laser-driven growth of diamond and other ultra-hard materials, (4) laser ultrasonics in the non-destructive evaluation of aircraft structures, (5) the use of artificial intelligence techniques for structural monitoring, and currently (7) applied and theoretical artificial neural network technology.
originally posted by: ZetaRediculian
originally posted by: H1ght3chHippie
No worries. If Microsoft has a part in programming this "artificial super intelligence" we can rest assured that Skynet will crash every other week with a blue screen of death.
So skynet will run on Linux?
T-800 has the ability to look for the alternate power source if its battery and power source is disrupted
T2 Extreme DVD text commentary explains:
Terminator drew upon the potential energy in his heat sinks to jump start his internal systems since his main power cell was ruptured and discharged by T-1000’s attack
This book is the first volume of a two-book project that will bring back into print all of the science fiction and fantasy of William Tenn. This first volume, Immodest Proposals, contains the majority of William Tenn's short science fiction. It includes such classic stories as "Child's Play," "Time in Advance," "Down Among the Dead Men," and "On Venus, Have We Got a Rabbi."
The next volume in the series, Here Comes Civilization, will contain the remainder of his short science fiction, the novel Of Men and Monsters, and the short novel A Lamp for Medusa. A volume of his non-fiction, Dancing Naked, was published in September 2004.
Tenn has long been considered one of the major satirists in the field. The Science Fiction Encyclopedia calls him "one of the genre's very few genuinely comic, genuinely incisive writers of short fiction." Theodore Sturgeon had the following to say:
"It would be too wide a generalization to say that every SF satire, every SF comedy and every attempt at witty and biting criticism found in the field is a poor and usually cheap imitation of what this man has been doing since the '40s. [But] his incredibly involved and complex mind can at times produce constructive comment so pointed and astute that the fortunate recipient is permanently improved by it. Admittedly the price may be to create two whole categories for our species: humanity, and William Tenn. For each of which you must create your ethos and your laws. I've done that. And to me it's worth it."
William Tenn was the pen name of London-born Philip Klass. He emigrated to America in the early '20s with his parents. He began writing in 1945 after being discharged from the Army, and his first story, "Alexander the Bait," was published a year later. His stories and articles have been widely anthologized, a number of them in best-of-the-year collections. He was a professor of English at Pennsylvania State University, where he taught — among other things — a popular course in science fiction. In 1999, he was honored as Author Emeritus by the Science Fiction and Fantasy Writers of America at the Nebula Awards Banquet in Pittsburgh. In 2003, he was the guest of honor at Capclave. In 2004, he was a guest of honor at Noreascon 4, the 62nd World Science Fiction Convention.
He lived with his wife Fruma in suburban Pittsburgh with several cats and many books. He died on February 7, 2010, of congestive heart failure.
He is not the Philip J. Klass who wrote for Aviation Week and Space Technology (and died in 2005).
Was justice done