Loebner Prize

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The Most Human Human: What Talking With Computers Teaches Us About What It Means to Be Alive by Brian Christian

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4chan, Ada Lovelace, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, Bertrand Russell: In Praise of Idleness, carbon footprint, cellular automata, Claude Shannon: information theory, cognitive dissonance, complexity theory, crowdsourcing, Donald Trump, Douglas Hofstadter, George Akerlof, Gödel, Escher, Bach, high net worth, Isaac Newton, Jacques de Vaucanson, Jaron Lanier, job automation, l'esprit de l'escalier, Loebner Prize, Menlo Park, Ray Kurzweil, RFID, Richard Feynman, Richard Feynman, Ronald Reagan, Skype, statistical model, Stephen Hawking, Steve Jobs, Steven Pinker, theory of mind, Turing machine, Turing test, Von Neumann architecture, Watson beat the top human players on Jeopardy!

Griping about the weather with the barista, instead of simply stating your order and waiting patiently, reinforces the fact that he or she is not simply a flesh-and-blood extension of the espresso machine, but in fact a whole person, with moods and attitudes and opinions about most everything under the sun, and a life outside of work. Domain General One of the leading academics interested in the Turing test (and, as it turns out, an outspoken critic of the Loebner Prize) is Harvard’s Stuart Shieber, who actually served in the very first Loebner Prize contest as one of the “referees.” It’s a role that didn’t exist as I prepared for the 2009 test: the referees were there to keep the conversations “in bounds”—but what did that mean, exactly? The organizers and referees at the first Loebner Prize competition held an emergency meeting the night before the competition9 to address it. I called Shieber. “The night before the first competition there was a meeting with the referees,” he says.

In some sense the story of instant messaging—the medium of the Turing test—is the story of the telegram, accelerated to the breaking point. I discover, though, that the protocol the Loebner Prize was using in 2009 was unlike emails, text messages, and standard instant-messaging systems in a very crucial way. The Loebner Prize chat protocols transmitted typing keystroke by keystroke. You’re watching each other type, typos and backspacing and all. Part of what I needed to figure out was how exactly to use the Loebner Prize competition’s unusual “live typing” medium. What did this enable and disable, compared to the standard walkie-talkie, telegram-like, turn-taking style?

“I can’t talk about what I do for a living, or where I live, and … wow! All of a sudden I have to describe me.” Or: all of a sudden I have to be me, to act like myself instead of describing myself. Form and Content in the Turing Test The first Loebner Prize competition was held on November 8, 1991, at the Boston Computer Museum. In its first few years, the Loebner Prize gave each program and human confederate a “topic” as a means of limiting the conversation. In some ways, that first contest was a battle between style and content. One of the confederates was Shakespeare expert Cynthia Clay, who was, famously, deemed a computer by three different judges.


pages: 291 words: 81,703

Average Is Over: Powering America Beyond the Age of the Great Stagnation by Tyler Cowen

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Amazon Mechanical Turk, Black Swan, brain emulation, Brownian motion, Cass Sunstein, choice architecture, complexity theory, computer age, computer vision, cosmological constant, crowdsourcing, dark matter, David Brooks, David Ricardo: comparative advantage, deliberate practice, Drosophila, en.wikipedia.org, endowment effect, epigenetics, Erik Brynjolfsson, eurozone crisis, experimental economics, Flynn Effect, Freestyle chess, full employment, future of work, game design, income inequality, industrial robot, informal economy, Isaac Newton, Khan Academy, labor-force participation, Loebner Prize, low skilled workers, manufacturing employment, Mark Zuckerberg, meta analysis, meta-analysis, microcredit, Narrative Science, Netflix Prize, Nicholas Carr, pattern recognition, Peter Thiel, randomized controlled trial, Ray Kurzweil, reshoring, Richard Florida, Richard Thaler, Ronald Reagan, Silicon Valley, Skype, statistical model, stem cell, Steve Jobs, Turing test, Tyler Cowen: Great Stagnation, upwardly mobile, Yogi Berra

Getting human conversation “right” is a complex, multidimensional problem, highly sensitive to context and background understanding, and so it isn’t easy for a computer program. Here is a dialogue that Teppo Felin, a sociology blogger, had with Rosette, the program that won the 2011 Loebner Prize, which is dedicated to the Turing task: ROSETTE: Hello, again. Did you have a good day? TEPPO: congrats on winning the Loebner prize! ROSETTE: Why are you so excited about this? I think shopping summons up the ancient hunter-gatherer in me. I like having a mission to find something I need or want. Sometimes I’ll research online, to find a great deal, but I like rummaging through Jeremy’s up the road, if I want an outfit for a special occasion, or just for fun.

Linden, “The Singularity Is Far: A Neuroscientist’s View,” BoingBoing, July 14, 2011, http://boingboing.net /2011/07/14/far.html. Another useful essay is David Robson, “Your Clever Body: Thinking from Head to Toe,” New Scientist, October 15, 2011. For the dialogue with Rosette, see http://orgtheory.wordpress.com/2011/10/22/2011 -loebner-prize-artificial-intelligence-still-has-a-long-way-to-go/. For a Tyler Cowen and Michelle Dawson paper on Turing, see “What Does the Turing Test Really Mean? And How Many Human Beings (Including Turing) Could Pass?”, June 3, 2009, http://www.gmu.edu/centers/publicchoice/faculty%20pages /Tyler/turingfinal.pdf.

, 7, 12, 157 Jobs, Steve, 25 Jones, Benjamin, 216 Journal of the American Statistical Association, 10 journalism, 9 Junior (chess program), 68, 72, 78 Jurafsky, Dan, 12–13 K-12 education, 4, 168, 181–82 Kabbalah, 153 Kahneman, Daniel, 105, 227 Kaiser Family Foundation, 60 Karlan, Dean, 223 Kasparov, Garry, 7, 69, 77, 80–81, 110, 124, 157 Kaufman, Larry, 203 Kempelen, Wolfgang von, 149 Kepler, Johannes, 153 Keynesian economics, 53–54, 56, 226 Khan Academy, 180, 184–85 KIPP schools, 199 Knoxville, Tennessee, 244 Komodo (chess program), 68, 203 Kraai, Jesse, 188 Kramnik, Vladimir, 103, 109, 149–50 Kronrod, Alexander, 68 Krueger, Alan, 59 Krugman, Paul, 180–81, 227 Kurzweil, Ray, 6, 137–38 labor market and age of workers, 41–42, 51–52, 62–63 and benefit costs, 36, 59, 113 careers in the changing market, 41–44 changing worker profiles, 29–40 and computer skills, 21, 33 and conscientiousness of workers, 201–2 and factor price equalization, 163 and global trends, 3–4 and healthcare reform, 238 and hiring costs, 36, 59, 60 important worker characteristics, 32 and income trends, 39 labor economics, 226 and layoffs, 54–55, 57–58, 61 and management, 27–29 and man-machine collaboration, 93 and marketing, 22–27 and outsourcing, 163–71 participation rates, 45, 46, 51 polarization in, 37, 55, 231 and “reshoring” trend, 177 and residential segregation, 247–48 and retraining, 202 and the social contract, 229 laboratory science, 100 land prices, 236, 247 language recognition, 119, 139–41 Latin America, 167–68, 170–71, 242 law and legal issues and the changing labor market, 41 costs of employing labor, 36, 59 lawsuits, 36, 59, 60 lawyer ratings, 121 malpractice suits, 128 and medical diagnosis, 128–29 and reliance on computer systems, 128–31 See also regulatory issues layoffs, 54–55, 57–58, 61 Levitt, Steven, 226–27 liberalism, 252, 253–54 libertarianism, 256–57 lie detection, 12–13, 16 The Lights in the Tunnel (Ford), 6 liquidity crunch, 54, 55 Liu, Runjuan, 164 Loebner Prize, 139–40 logistic function, 203 long-term unemployment, 58 machine intelligence. See artificial intelligence (AI) machine science, 217–20 machine simulations, 200 macroeconomics, 9, 166, 211–12, 226 Makel, Matthew C., 188 malapropisms, 140–41 malpractice suits, 128 Malthusian wages, 136 management, 25, 27–29, 33 mandates, 237–38 Mandel, Michael, 165–66 manual labor, 56 manufacturing sector, 177 marginal costs, 182 marginal tax rates, 234 MarginalRevolution (blog), 90 Maria Theresa of Austria, 148 marketing, 11–12, 22–27, 34, 146 Marzolo, Cyril, 147 Massachusetts Institute of Technology (MIT), 37, 193, 222 master’s degrees, 37 Match Teacher Residency program, 200 Match.com, 9, 96, 98 matchmaking.


pages: 349 words: 95,972

Messy: The Power of Disorder to Transform Our Lives by Tim Harford

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The computer’s job was to imitate human conversation convincingly enough to confuse the judge.28 Turing optimistically predicted that by the year 2000, computers would be able to fool 30 percent of human judges after five minutes of conversation. He was almost right: in 2008, at an annual Turing test tournament called the Loebner Prize, the best computer came within a single vote of Turing’s benchmark. How? The science writer Brian Christian had an answer: computers are able to imitate humans not because the computers are such accomplished conversationalists, but because we humans are so robotic.29 An extreme example is the “pickup artist” subculture, devoted to seducing women through prescripted interactions.

From Marco “Rubot” Rubio’s strange repetitive glitch, to the schwerfällig British generals outmaneuvered by Erwin Rommel, to the managers who try to tie performance down to a reductive target, we are always reaching for tidy answers, only to find that they’re of little use when the questions get messy. Each year that the computers fail to pass the Turing test, the Loebner Prize judges award a consolation prize for the best effort: it is the prize for the Most Human Computer. But there is also a prize for the human confederates who participate in the contest: the Most Human Human. Brian Christian entered the 2009 Loebner contest with the aim of winning that honor. He understood that it was not enough simply to chat away as humans often do, because too much human chat is itself formulaic and robotic.

Second, he stepped away from the generic, always looking for the details of the world around him. Chatbots, automated phone menus, and pickup artists flourish in a sterile bubble, devoid of context and history. Human conversation works best when it is rooted in the subtleties of a particular moment. At one point in the 2009 Loebner Prize competition, two participants realized that they were both from Toronto and started geeking out about ice hockey. It was instantly clear that neither of them was a computer. When a Zappos customer service rep realizes that the customer is physically just down the street in Las Vegas, she proves she isn’t a computer, either.


pages: 661 words: 187,613

The Language Instinct: How the Mind Creates Language by Steven Pinker

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Albert Einstein, cloud computing, David Attenborough, double helix, Drosophila, elephant in my pajamas, finite state, illegal immigration, Loebner Prize, Maui Hawaii, meta analysis, meta-analysis, natural language processing, out of africa, P = NP, phenotype, rolodex, Ronald Reagan, Saturday Night Live, speech recognition, Steven Pinker, theory of mind, transatlantic slave trade, Turing machine, Turing test, Yogi Berra

To interact with computers we still have to learn their languages; they are not smart enough to learn ours. In fact, it is all too easy to give computers more credit at understanding than they deserve. Recently an annual competition was set up for the computer program that can best fool users into thinking that they are conversing with another human. The competition for the Loebner Prize was intended to implement a suggestion made by Alan Turing in a famous 1950 paper. He suggested that the philosophical question “Can machines think?” could best be answered in an imitation game, where a judge converses with a person over one terminal and with a computer programmed to imitate a person on another.

User: Right now I feel like I could cry. Computer: Is it because right now you feel like you could cry that you came to me? To Weizenbaum’s horror, one day he found his secretary transfixed at the terminal, pouring her heart out to the program. Most computer scientists are annoyed by the Loebner Prize competition. They consider it a pointless publicity stunt, because it is an exercise in how to fool an amateur, not how to get computers to use language. (Artificial intelligence researchers and other professionals who are knowledgeable about language were not allowed to act as judges, and none bothered to compete; the submissions were from hobbyists.)

Signs were not coordinated into the well-defined motion contours of ASL and were not inflected for aspect, agreement, and so on—a striking omission, since inflection is the primary means in ASL of conveying who did what to whom and many other kinds of information. The trainers frequently claim that the chimps have syntax, because pairs of signs are sometimes placed in one order more often than chance would predict, and because the brighter chimps can act out sequences like Would you please carry the cooler to Penny. But remember from the Loebner Prize competition (for the most convincing computer simulation of a conversational partner) how easy it is to fool people into thinking that their interlocutors have humanlike talents. To understand the request, the chimp could ignore the symbols would, you, please, carry, the, and to; all the chimp had to notice was the order of the two nouns (and in most of the tests, not even that, because it is more natural to carry a cooler to a person than a person to a cooler).


pages: 259 words: 73,193

The End of Absence: Reclaiming What We've Lost in a World of Constant Connection by Michael Harris

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4chan, Albert Einstein, AltaVista, Andrew Keen, augmented reality, Burning Man, cognitive dissonance, crowdsourcing, dematerialisation, en.wikipedia.org, Filter Bubble, Firefox, Google Glasses, informal economy, information retrieval, invention of movable type, invention of the printing press, invisible hand, James Watt: steam engine, Jaron Lanier, jimmy wales, Kevin Kelly, Loebner Prize, Marshall McLuhan, McMansion, Nicholas Carr, pattern recognition, pre–internet, Republic of Letters, Silicon Valley, Skype, Snapchat, social web, Steve Jobs, the medium is the message, The Wisdom of Crowds, Turing test

Turing proposed that a machine could be called “intelligent” if people exchanging text messages with that machine could not tell whether they were communicating with a human. (There are a few people I know who would fail such a test, but that is another matter.) This challenge—which came to be called “the Turing test”—lives on in an annual competition for the Loebner Prize, a coveted solid-gold medal (plus $100,000 cash) for any computer whose conversation is so fluid, so believable, that it becomes indistinguishable from a human correspondent.7 At the Loebner competition (founded in 1990 by New York philanthropist Hugh Loebner), a panel of judges sits before computer screens and engages in brief, typed conversations with humans and computers—but they aren’t told which is which.

., III, 84–85 “He Poos Clouds” (Pallett), 164 History of Reading, A (Manguel), 16, 117, 159 Hollinghurst, Alan, 115 Holmes, Sherlock, 147–48 House at Pooh Corner, The (Milne), 93 Hugo, Victor, 20–21 “Idea of North, The” (Gould), 200–201 In Defense of Elitism (Henry), 84–85 Information, The (Gleick), 137 information retrieval, 141–42 Innis, Harold, 202 In Search of Lost Time (Proust), 160 Instagram, 19, 104, 149 Internet, 19, 20, 21, 23, 26–27, 55, 69, 125, 126, 129, 141, 143, 145, 146, 187, 199, 205 brain and, 37–38, 40, 142, 185 going without, 185, 186, 189–97, 200, 208–9 remembering life before, 7–8, 15–16, 21–22, 48, 55, 203 Internship, The, 89 iPad, 21, 31 children and, 26–27, 45 iPhone, see phones iPotty, 26 iTunes, 89 Jobs, Steve, 134 Jones, Patrick, 152n Justification of Johann Gutenberg, The (Morrison), 12 Kaiser Foundation, 27, 28n Kandel, Eric, 154 Kaufman, Charlie, 155 Keen, Andrew, 88 Kelly, Kevin, 43 Kierkegaard, Søren, 49 Kinsey, Alfred, 173 knowledge, 11–12, 75, 80, 82, 83, 86, 92, 94, 98, 141, 145–46 Google Books and, 102–3 Wikipedia and, 63, 78 Koller, Daphne, 95 Kranzberg, Melvin, 7 Kundera, Milan, 184 Lanier, Jaron, 85, 106–7, 189 latent Dirichlet allocation (LDA), 64–65 Leonardo da Vinci, 56 Lewis, R. W. B., 117 LinkedIn, 175 literacy, 13 Loebner, Hugh, 60 Loebner Prize, 60 Long Now Foundation, 204 “Look at ME,” 69 love, 176, 177 Luddites, 18, 207–8, 209 Luther, Martin, 12, 20 “Machine Stops, The” (Forster), 106–7, 109 Maeterlinck, Maurice, 5 magazines, 26–28, 45–46, 102 Malaysia, 1–2, 19 Man, John, 12n, 103 Manguel, Alberto, 16–17, 117, 117n, 159 Manhunt, 165 maps, 35, 98 Marx, Groucho, 17 Marx, Karl, 12n massive open online courses (MOOCs), 95–98 Matrix, The, 44–45 McGraw, Phil, 63 McLuhan, Marshall, 14, 34–35, 99, 179, 194, 201, 205 memes, 41–43 technology-based, 42–44 memorization, 145, 151–52, 156–59 memory, 32–33, 35, 40, 137–63 of absence, 202–3 brain and, 139, 140, 142, 146, 151–53, 155, 158 computer, 148, 149, 151, 152, 154–56 fear-based, 155–56 Google and, 143–47 group (transactive), 142–43 method of loci and, 146–47, 148 Molaison and, 138 off-loaded, 140–43, 145, 151, 155 of pre-Internet life, 7–8, 15–16, 21–22, 48, 55, 203 reconsolidation and, 154, 155 search engines and, 142–43, 146 Timehop and, 148–51, 160 memory palace, 146–47 Mesopotamia, 81 Microsoft, 64n Bing, 62 Windows, 43 Miller, Geoffrey, 105 Milne, A.


pages: 72 words: 21,361

Race Against the Machine: How the Digital Revolution Is Accelerating Innovation, Driving Productivity, and Irreversibly Transforming Employment and the Economy by Erik Brynjolfsson

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Amazon Mechanical Turk, Any sufficiently advanced technology is indistinguishable from magic, autonomous vehicles, business process, call centre, combinatorial explosion, corporate governance, crowdsourcing, David Ricardo: comparative advantage, easy for humans, difficult for computers, Erik Brynjolfsson, factory automation, first square of the chessboard, first square of the chessboard / second half of the chessboard, Frank Levy and Richard Murnane: The New Division of Labor, hiring and firing, income inequality, job automation, John Maynard Keynes: technological unemployment, Joseph Schumpeter, Khan Academy, Kickstarter, knowledge worker, labour mobility, Loebner Prize, low skilled workers, minimum wage unemployment, patent troll, pattern recognition, Ray Kurzweil, rising living standards, Robert Gordon, self-driving car, shareholder value, Skype, too big to fail, Turing test, Tyler Cowen: Great Stagnation, Watson beat the top human players on Jeopardy!, winner-take-all economy

The “Turing test” involves a test group of people having online chats with two entities, a human and a computer. If the members of the test group can’t in general tell which entity is the machine, then the machine passes the test. Turing himself predicted that by 2000 computers would be indistinguishable from people 70% of the time in his test. However, at the Loebner Prize, an annual Turing test competition held since 1990, the $25,000 prize for a chat program that can persuade half the judges of its humanity has yet to be awarded. Whatever else computers may be at present, they are not yet convincingly human. But as the examples in this chapter make clear, computers are now demonstrating skills and abilities that used to belong exclusively to human workers.


pages: 467 words: 116,094

I Think You'll Find It's a Bit More Complicated Than That by Ben Goldacre

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call centre, conceptual framework, correlation does not imply causation, crowdsourcing, death of newspapers, Desert Island Discs, en.wikipedia.org, experimental subject, Firefox, Flynn Effect, jimmy wales, John Snow's cholera map, Loebner Prize, meta analysis, meta-analysis, placebo effect, Simon Singh, statistical model, stem cell, the scientific method, Turing test, WikiLeaks

Reading New Scientist’s chat with Nanniebot, the excellent www.ntk.net/ (Private Eye for geeks) points out that Nanniebot ‘seems to be able to make logical deductions, parse colloquial English, correctly choose the correct moment to scan a database of UK national holidays, comment on the relative qualities of the Robocop series, and divine the nature of pancakes and pancake day’. Jabberwock, the winner of last year’s Loebner Prize for the Turing test, is rubbish in comparison (you can talk to it online and see for yourself). But Jim Wightman, the Nanniebot inventor – whose site claims they’ve passed the Turing test – isn’t entering the Loebner Prize this year. Maybe next year … it’s too buggy. But it’s live on the internet already? Can I test it? Sure. But I want to see with my own eyes that there’s not a real human being somewhere tapping out the answers, I explain.

263 heart attack 8, 9, 79, 119–20, 134–6, 172, 173, 174–6, 209–10, 265 Hegarty LLP 256 Helicobacter pylori 9 hepatitis B 233, 356 hepatitis C 225, 233 heroin, xx, 221–4, 225–44 hierarchies of evidence 359 highly active antiretroviral therapy (HAART) 140 Hinkley Point 95–6 HIV 182–7, 225, 233–4, 244, 254, 281–3, 284, 285, 286 see also Aids Hodgkinson, Neville 283 Holfordwatch 252 Holt, Peter 19 Home Office xix, 157, 158, 159, 163, 193, 230, 232 home taping 159–62 homeopathy xvii, 20–1, 124, 137, 194, 262, 264, 304, 321–4, 389 Homeopathy News 389 homosexuality: age and 92–4; mental illness and 312–13 hormone-replacement therapy (HRT) 8–9 Hospital Episodes Statistics 18 Houben, Rom 324–6 House of Numbers (film) 281–3, 284 How to be Beautiful (Murray) 387 HPV 334 Huff, Darrell: How to Lie with Statistics 89–91 Hussein, Saddam 316–17 Hutton, John 221, 224 hypoactive sexual desire disorder (HSDD) 38 IARC (International Agency for Research on Cancer) 116 ICM 96 ignoring results from people you don’t trust 20–2 Imperial College 285 inclusion body myositis (IBM) 26, 27 Independent External Review for Department of Education on improving use if evidence and data in schools 202n Independent 29, 61, 197, 345, 390 Insight Cube™ 154 Institute of Child Health 120 intelligent design 13 International Journal of Evidence-Based Healthcare: ‘Deconstructing the Evidence-Based Discourse in Health Sciences: Truth, Power and Fascism’ (International Journal of Evidence-Based Healthcare) 297 International Journal of Obesity 338 International Journal of Psychology 15–16 internet use, autism and 3 The Internet’s Own Boy (documentary) 34 Interphone 118 Ioannidis, Professor John 9–10, 132, 133 Ion-Conditioning Hairdryer 388 IQ scores, gradual improvement in 188 Iraq, detecting bombs in 273–5; weapons of mass destruction (WMD) in 316–17 irrationality, science of xxi, 301–26; cigarette packaging 318–21; crime, outrage is lower when a criminal has more victims xxi, 306–9; evidence-based smear campaigns 316–18; facilitated communication in coma patients 324–6; female musicians’ clothing and performance 309–11; illusions of control 305–6; nocebo effect 321–4; pre-existing view, scientific evidence that challenges a 311–13; superstition and improved performance 313–15; visualisation and fruit intake 303–4 IVF 107, 180, 181 Jack of Kent (blogger) 252 Jammeh, Yahya 182 JCVI (Joint Committee on Vaccination and Immunisation) 353 Jill Dando Institute 163 Johnson, Alan 22, 24 Johnston, Lucy 333 Jordan, David Starr: Higher Foolishness 262 Journal of Aids 139 Journal of Applied Social Psychology 312 Journal of Public Health Nutrition 337 Journal of the American Chemical Society (JACS) 135 Journal of the American Medical Association (JAMA) 11, 12 Journal of Trionic Physics 388 Journal of Wine Research 125 journalism, bad xxi–xxii, 327–67; academic PR, dodgy 358–60; breast cancer and diet 338–40; caveats, hidden 338–40; cervical cancer jab, dangers of 331–4; exercise, weight gain and 335–8; fish oil and concentration 343–7; journalists linking to primary sources 340–2; MMR and 347–58; rape, women’s clothing, alcohol and 329–31; Roger Coghill and ‘the Aids test’ 363–7; suicide and phone masts 363–5; suicide, press coverage of details of 361–3 JSTOR 32–4 Kelsey, Tim 80, 81 Kelvedon Hatch secret nuclear bunker 94 Kemshall, Professor Hazel 158 Kenyon, Paul 289–90 King’s College London: Mobile Phones Research Unit 125 King’s Fund 19, 176 Kirlian photography 387 Krügel, Danie 275–7 Labour Party 59, 150, 155–6, 176, 177 Ladies Home Journal 44 Lancet 118, 121, 140, 145 Lansley, Andrew 171–4 Laureys, Professor Steven 326 Lawrence, Nikki 267 LayScience 252 libel xvii, xx, 245–58; BCA sue Simon Singh 250–4; breast enhancement cream 254–7; Dr Gillian McKeith calls Bad Science ‘lies’ 257–8; NMT sue Dr Peter Wilmshurst 247–50 libido problems, brain and 37–9 ‘Lindsay Syndrome’ 305–6 lipid-lowering drugs 119–20 local council overspending xix, 152–4 ‘locked-in syndrome’ 324, 325 Loebner Prize 392 London Raindance Film Festival 284 LSD 230 lucky ball xxi, 314 lung cancer 22, 107–9, 319 Lysenko, Trofim 262–3 McDonnell, Mary 307 McKee, Martin 175–6 McKeith, Gillian xvii, xx, 257–8 McTimoney Chiropractic Association (MCA) 253, 254 Maggiore, Christine 283, 285, 286 Maggiore, Eliza Jane 283, 286 magic boxes xxi, 271–8; ADE 651 273–5; bioresonance 277–8; Krügel missing people locator 275–7 magnetic wine 122–6 Manchester Evening News 155 Manning, Julia 180 Marcus, Adam 134 Marketing Innovations Inc. 21 Martin, Simon 278 masturbation, nasal congestion and 139, 143–6 maths, decline in quality of UK 194–6 MBA California Facial Mask 309 Mbeki, Thabo 185, 285 ‘Measuring the Mathematics Problem’ report, Engineering Council 190 Medical Hypotheses 139–46; AIDS denialism 138–41; ‘Down Subjects and Oriental Population Share Several Specific Attitudes and Characteristics’ article 139, 141–3; masturbation as a treatment for nasal congestion, articles discussing benefits and side effects of 139, 143–6 Medical Research Council 252 Medicines and Healthcare Regulatory Authority, The 321–2 Medline 125, 141 Melville, Caspar 281, 283 Merck 333 meta-analysis 235, 304, 359, 401 methadone 227–9, 231, 234–43 Metro 37–8, 66–7 MI5 52 microfinance 204–5 miniature steam railways xxii, 379–81 Ministry of Defence (MoD) 221–3 MinistryofTruth 252 ‘Miracle Mineral Solution’ 12 MIT 32–3 MMR jab 85, 304; Bad Science column manifesto and 399; Lancet 1998 paper on MMR, autism and bowel problems 145, Lucy Johnston stories on 333; return of scare stories about 347–58 mobile phones: cancer and 116–18, 290; council spending and 153, 154; electrosensitivity and 292; stalking your girlfriend using xxii, 382–3; suicides and phone masts 363–7 Mobile Phones Research Unit, King’s College London 125 Monbiot, George 32 Morgan, Rhys 12 Mozambique 183–4 MRI machines 37–9 MRSA 124 Mullen, Dr Michael 249 Mulrow, Celia 6 multiple sclerosis 356 Munro, Professor Geoffrey 312 Muntoni, Francesco 121 Murray, Dale 274 music piracy xix, 159–62 ‘Nanniebots’, search for paedophiles and 391–5 nasal congestion, masturbation and 139, 143–6 Nash, Barbara 268–9 National Autistic Society 325 National Centre for the Replacement, Refinement and Reduction of Animals in Research, The 137 National Down Syndrome Cytogenetic Register 62, 63 National Explosive Engineering Sciences Security Center, Sandia Labs 274 National Institute for Health Research (NIHR) 216 Nature Neuroscience 129, 131 Nature Reviews Neuroscience 38 Nazis 22, 23, 262, 300 Nelson, Fraser 284, 285, 286 Nerdydaytrips.com 381 network theory 26–8 neuroscience xix, 37–9, 129, 130–1, 138 Neverland Systems 393 Nevirapine 186 New England Journal of Medicine 9 New Humanist 281 New Scientist xxii, 391, 393, 394, 395 New York Herald Tribune 261 New York Times 39, 273, 274–5 New York University 297 Newsnight 197 NHS xix; abortion and 90–1; Cancer Plan 170; care.data and 78–86; coalition government reforms xix, 73, 169–77; constitution 180; GP Consortiums 171–4, 175, 176; NHS Choices website 18, 63; NHS Information Centre (NHSIC) 84, 85, 170; ‘NHS Operating Framework’ 172; pornography for sperm donors xix, 179–82; price-based competition in 172–3, 174–5; Primary Care Research Network 216; Primary Care Trusts 171–2; waiting times 73–5; ‘Working Together For A Stronger NHS’ government leaflet 169 Nield, Dr Dalia 255–6 Nieuwenhuis, Sander 129, 130–1 Nigeria: polio vaccine scare in 273, 356–7 9/11 13 ‘95 per cent confidence intervals’ 59–61 NMT 247–50 nocebo effect 321–4 Nolte, Ellen 175–6 Nordgren, Loran 307 NSA (National Security Agency), US 79–80 NSPCC 394 ntk.net 391 nuclear power xvi, xxii, 85, 94, 95–7, 379, 381 O’Connor, Cardinal Cormac Murphy 183 Observer: Denis Campbell MMR stories 347–55; Denis Campbell ‘fish oil helps schoolchildren to concentrate’ story 343–7; ‘Forensic DNA Tests “Reveal Traces of Madeleine’s Body on Resort Beach”’ story 276 OECD 175 Office of Fair Trading 265 Office of National Statistics (ONS): ‘Annual Survey of Hours and Earnings’ 150–2; births per year statistics 49–50; exam results and 189; ‘Labour Market’ figures 59; Statistical Bulletin 49–50 Olympics: 1992 156; 2012 xix, 155–7 Omand, Sir David 51–3 omega-3 fatty acids 343–6 The One Show 12 open data 20, 80, 85 Open Data (government initiative) 85 Opera Solutions 153–4 Oransky, Ivan 134 organic food xix, 191–4 Overfield, Dr Derek 57 Oxford University 3, 4, 5, 138, 194 Oxygizer 390–1 paedophiles, ‘Nanniebots’ and 391–5 Page, Dawn 268, 269–70 Pain 322 Pakistan 231, 232, 357 Panorama: wi-fi link to radiation story xxi, 289–91, 293 Parker, Matt 68, 69 Parliament 76, 84, 85, 196–7, 200–1, 322 Parry, Vivienne 353 peer review xvii, 4–5, 29, 139–41, 145; alternatives to 139–41, 145–6; dodgy peer reviewers delaying publication of findings they don’t like 10; GP fundholding and 176–7; journals deliberately not peer reviewed 145–6; post-publication xvi, 4–5; problematic nature of 138–41; putting a finding in a press release but not into the paper as a subversion of 66; refusal to submit ideas to 3–5 Pell, Cardinal George 183 Perfect Sommelier 123, 124 Perry, Simon 252–3, 266 pesticides, food and 191–4 Pfizer Trovan drug trial 357 Phelan, Jo: ‘Genetic Bases of Mental Illness – a Cure for Stigma?’


pages: 372 words: 101,174

How to Create a Mind: The Secret of Human Thought Revealed by Ray Kurzweil

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Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, Albert Einstein, Albert Michelson, anesthesia awareness, anthropic principle, brain emulation, cellular automata, Claude Shannon: information theory, cloud computing, computer age, Dean Kamen, discovery of DNA, double helix, en.wikipedia.org, epigenetics, George Gilder, Google Earth, Isaac Newton, iterative process, Jacquard loom, Jacquard loom, John von Neumann, Law of Accelerating Returns, linear programming, Loebner Prize, mandelbrot fractal, Norbert Wiener, optical character recognition, pattern recognition, Peter Thiel, Ralph Waldo Emerson, random walk, Ray Kurzweil, reversible computing, self-driving car, speech recognition, Steven Pinker, strong AI, the scientific method, theory of mind, Turing complete, Turing machine, Turing test, Wall-E, Watson beat the top human players on Jeopardy!, X Prize

It can also consider a trend that goes beyond just the last two generations. 12. Dileep George, “How the Brain Might Work: A Hierarchical and Temporal Model for Learning and Recognition” (PhD dissertation, Stanford University, June 2008). 13. A. M. Turing, “Computing Machinery and Intelligence,” Mind, October 1950. 14. Hugh Loebner has a “Loebner Prize” competition that is run each year. The Loebner silver medal will go to a computer that passes Turing’s original text-only test. The gold medal will go to a computer that can pass a version of the test that includes audio and video input and output. In my view, the inclusion of audio and video does not actually make the test more challenging. 15.

(TV show), 6–7, 108, 157–58, 160, 165, 166, 167, 168, 169, 172, 178, 232–33, 270 Joyce, James, 55 Kasparov, Garry, 39, 166 K Computer, 196 knowledge bases: AI systems and, 4, 6–7, 170–71, 246, 247 of digital neocortex, 177 exponential growth of, 3 as inherently hierarchical, 220 language and, 3 professional, 39–40 as recursively linked ideas, 3 Kodandaramaiah, Suhasa, 126 Koene, Randal, 89 Koltsov, Nikolai, 16 Kotler, Steven, 278 KurzweilAI.net, 161 Kurzweil Applied Intelligence, 144 Kurzweil Computer Products, 122 Kurzweil Voice, 160 lamina 1 neurons, 97 language: chimpanzees and, 3, 41 and growth of knowledge base, 3 hierarchical nature of, 56, 159, 162, 163 as metaphor, 115 as translation of thinking, 56, 68 language software, 51, 72–73, 92, 115–16, 122–23, 144–45, 145, 156, 157–72, 174, 270 expert managers in, 166–67 hand-coded rules in, 164–65, 166, 168 HHMMs in, 167–68 hierarchical systems in, 162–65 Larson, Gary, 277 “Last Voyage of the Ghost, The” (García Márquez), 3–4 lateral geniculate nucleus, 95, 100 law of accelerating returns (LOAR), 4, 6, 7, 41, 123 as applied to human brain, 261–63, 263, 264, 265 biomedicine and, 251, 252, 253 communication technology and, 253, 254 computation capacity and, 281, 316n–19n information technology and, 4, 249–57, 252, 257, 258, 259, 260, 261, 261 objections to, 266–82 predictions based on, 256–57, 257, 258, 259, 260, 261 and unlikelihood of other intelligent species, 5 “Law of Accelerating Returns, The” (Kurzweil), 267 laws of thermodynamics, 37, 267 learning, 61–65, 122, 155, 273–74 conditionals in, 65 and difficulty of grasping more than one conceptual level at a time, 65 in digital neocortex, 127–28, 175–76 environment and, 119 Hebbian, 80 hierarchical, 164, 195, 197 in neural nets, 132–33 neurological basis of, 79–80 pattern recognition as basic unit of, 80–81 of patterns, 63–64, 90 recognition as simultaneous with, 63 simultaneous processing in, 63, 146 legal systems, consciousness as basis of, 212–13 Leibniz, Gottfried Wilhelm, 34, 223 Lenat, Douglas, 162 Leviathan (Hobbes), 278 Lewis, Al, 93 Libet, Benjamin, 229–30, 231, 234 light, speed of, 281 Einstein’s thought experiments on, 18–23 linear programming, 64 LISP (LISt Processor), 153–55, 163 pattern recognition modules compared with, 154, 155 Lloyd, Seth, 316n, 317n Loebner, Hugh, 298n Loebner Prize, 298n logic, 38–39 logical positivism, 220 logic gates, 185 Lois, George, 113 love, 117–20 biochemical changes associated with, 118–19 evolutionary goals and, 119 pattern recognition modules and, 119–20 “Love Is the Drug,” 118 Lovelace, Ada Byron, Countess of, 190, 191 lucid dreaming, 72, 287n–88n Lyell, Charles, 14–15, 114, 177 McCarthy, John, 153 McClelland, Shearwood, 225 McGinn, Colin, 200 magnetic data storage, growth in, 261, 301n–3n magnetoencephalography, 129 Manchester Small-Scale Experimental Machine, 189 Mandelbrot set, 10–11, 10 Marconi, Guglielmo, 253 Mark 1 Perceptron, 131–32, 134, 135, 189 Markov, Andrei Andreyevich, 143 Markram, Henry, 80–82, 124–27, 129 mass equivalent, of energy, 22–23 Mathematica, 171 “Mathematical Theory of Communication, A” (Shannon), 184 Mauchly, John, 189 Maudsley, Henry, 224 Maxwell, James Clerk, 20 Maxwell, Robert, 225 Mead, Carver, 194–95 medial geniculate nucleus, 97, 100 medicine, AI and, 6–7, 39, 108, 156, 160–61, 168 memes: consciousness as, 211, 235 free will as, 235 memory, in computers, 185, 259, 260, 268, 301n–3n, 306n–7n memory, memories, human: abstract concepts in, 58–59 capacity of, 192–93 computers as extensions of, 169 consciousness vs., 28–29, 206–7, 217 dimming of, 29, 59 hippocampus and, 101–2 as ordered sequences of patterns, 27–29, 54 redundancy of, 59 unexpected recall of, 31–32, 54, 68–69 working, 101 Menabrea, Luigi, 190 metacognition, 200, 201 metaphors, 14–15, 113–17, 176–77 Michelson, Albert, 18, 19, 36, 114 Michelson-Morley experiment, 19, 36, 114 microtubules, 206, 207, 208, 274 Miescher, Friedrich, 16 mind, 11 pattern recognition theory of (PRTM), 5–6, 8, 11, 34–74, 79, 80, 86, 92, 111, 172, 217 thought experiments on, 199–247 mind-body problem, 221 Minsky, Marvin, 62, 133–35, 134, 199, 228 MIT Artificial Intelligence Laboratory, 134 MIT Picower Institute for Learning and Memory, 101 MobilEye, 159 modeling, complexity and, 37–38 Modha, Dharmendra, 128, 195, 271–72 momentum, 20–21 conservation of, 21–22 Money, John William, 118, 119 montane vole, 119 mood, regulation of, 106 Moore, Gordon, 251 Moore’s law, 251, 255, 268 moral intelligence, 201 moral systems, consciousness as basis of, 212–13 Moravec, Hans, 196 Morley, Edward, 18, 19, 36, 114 Moskovitz, Dustin, 156 motor cortex, 36, 99 motor nerves, 99 Mountcastle, Vernon, 36, 37, 94 Mozart, Leopold, 111 Mozart, Wolfgang Amadeus, 111, 112 MRI (magnetic resonance imaging), 129 spatial resolution of, 262–65, 263, 309n MT (V5) visual cortex region, 83, 95 Muckli, Lars, 225 music, as universal to human culture, 62 mutations, simulated, 148 names, recalling, 32 National Institutes of Health, 129 natural selection, 76 geologic process as metaphor for, 14–15, 114, 177 see also evolution Nature, 94 nematode nervous system, simulation of, 124 neocortex, 3, 7, 77, 78 AI reverse-engineering of, see neocortex, digital bidirectional flow of information in, 85–86, 91 evolution of, 35–36 expansion of, through AI, 172, 266–72, 276 expansion of, through collaboration, 116 hierarchical order of, 41–53 learning process of, see learning linear organization of, 250 as metaphor machine, 113 neural leakage in, 150–51 old brain as modulated by, 93–94, 105, 108 one-dimensional representations of multidimensional data in, 53, 66, 91, 141–42 pattern recognition in, see pattern recognition pattern recognizers in, see pattern recognition modules plasticity of, see brain plasticity prediction by, 50–51, 52, 58, 60, 66–67, 250 PRTM as basic algorithm of, 6 pruning of unused connections in, 83, 90, 143, 174 redundancy in, 9, 224 regular grid structure of, 82–83, 84, 85, 129, 262 sensory input in, 58, 60 simultaneous processing of information in, 193 specific types of patterns associated with regions of, 86–87, 89–90, 91, 111, 152 structural simplicity of, 11 structural uniformity of, 36–37 structure of, 35–37, 38, 75–92 as survival mechanism, 79, 250 thalamus as gateway to, 100–101 total capacity of, 40, 280 total number of neurons in, 230 unconscious activity in, 228, 231, 233 unified model of, 24, 34–74 as unique to mammalian brain, 93, 286n universal processing algorithm of, 86, 88, 90–91, 152, 272 see also cerebral cortex neocortex, digital, 6–8, 41, 116–17, 121–78, 195 benefits of, 123–24, 247 bidirectional flow of information in, 173 as capable of being copied, 247 critical thinking module for, 176, 197 as extension of human brain, 172, 276 HHMMs in, 174–75 hierarchical structure of, 173 knowledge bases of, 177 learning in, 127–28, 175–76 metaphor search module in, 176–77 moral education of, 177–78 pattern redundancy in, 175 simultaneous searching in, 177 structure of, 172–78 virtual neural connections in, 173–74 neocortical columns, 36–37, 38, 90, 124–25 nervous systems, 2 neural circuits, unreliability of, 185 neural implants, 243, 245 neural nets, 131–35, 144, 155 algorithm for, 291n–97n feedforward, 134, 135 learning in, 132–33 neural processing: digital emulation of, 195–97 massive parallelism of, 192, 193, 195 speed of, 192, 195 neuromorphic chips, 194–95, 196 neuromuscular junction, 99 neurons, 2, 36, 38, 43, 80, 172 neurotransmitters, 105–7 new brain, see neocortex Newell, Allen, 181 New Kind of Science, A (Wolfram), 236, 239 Newton, Isaac, 94 Nietzsche, Friedrich, 117 nonbiological systems, as capable of being copied, 247 nondestructive imaging techniques, 127, 129, 264, 312n–13n nonmammals, reasoning by, 286n noradrenaline, 107 norepinephrine, 118 Notes from Underground (Dostoevsky), 199 Nuance Speech Technologies, 6–7, 108, 122, 152, 161, 162, 168 nucleus accumbens, 77, 105 Numenta, 156 NuPIC, 156 obsessive-compulsive disorder, 118 occipital lobe, 36 old brain, 63, 71, 90, 93–108 neocortex as modulator of, 93–94, 105, 108 sensory pathway in, 94–98 olfactory system, 100 Oluseun, Oluseyi, 204 OmniPage, 122 One Hundred Years of Solitude (García Márquez), 283n–85n On Intelligence (Hawkins and Blakeslee), 73, 156 On the Origin of Species (Darwin), 15–16 optical character recognition (OCR), 122 optic nerve, 95, 100 channels of, 94–95, 96 organisms, simulated, evolution of, 147–53 overfitting problem, 150 oxytocin, 119 pancreas, 37 panprotopsychism, 203, 213 Papert, Seymour, 134–35, 134 parameters, in pattern recognition: “God,” 147 importance, 42, 48–49, 60, 66, 67 size, 42, 49–50, 60, 61, 66, 67, 73–74, 91–92, 173 size variability, 42, 49–50, 67, 73–74, 91–92 Parker, Sean, 156 Parkinson’s disease, 243, 245 particle physics, see quantum mechanics Pascal, Blaise, 117 patch-clamp robotics, 125–26, 126 pattern recognition, 195 of abstract concepts, 58–59 as based on experience, 50, 90, 273–74 as basic unit of learning, 80–81 bidirectional flow of information in, 52, 58, 68 distortions and, 30 eye movement and, 73 as hierarchical, 33, 90, 138, 142 of images, 48 invariance and, see invariance, in pattern recognition learning as simultaneous with, 63 list combining in, 60–61 in neocortex, see pattern recognition modules redundancy in, 39–40, 57, 60, 64, 185 pattern recognition modules, 35–41, 42, 90, 198 autoassociation in, 60–61 axons of, 42, 43, 66, 67, 113, 173 bidirectional flow of information to and from thalamus, 100–101 dendrites of, 42, 43, 66, 67 digital, 172–73, 175, 195 expectation (excitatory) signals in, 42, 52, 54, 60, 67, 73, 85, 91, 100, 112, 173, 175, 196–97 genetically determined structure of, 80 “God parameter” in, 147 importance parameters in, 42, 48–49, 60, 66, 67 inhibitory signals in, 42, 52–53, 67, 85, 91, 100, 173 input in, 41–42, 42, 53–59 love and, 119–20 neural connections between, 90 as neuronal assemblies, 80–81 one-dimensional representation of multidimensional data in, 53, 66, 91, 141–42 prediction by, 50–51, 52, 58, 60, 66–67 redundancy of, 42, 43, 48, 91 sequential processing of information by, 266 simultaneous firings of, 57–58, 57, 146 size parameters in, 42, 49–50, 60, 61, 66, 67, 73–74, 91–92, 173 size variability parameters in, 42, 67, 73–74, 91–92, 173 of sounds, 48 thresholds of, 48, 52–53, 60, 66, 67, 111–12, 173 total number of, 38, 40, 41, 113, 123, 280 universal algorithm of, 111, 275 pattern recognition theory of mind (PRTM), 5–6, 8, 11, 34–74, 79, 80, 86, 92, 111, 172, 217 patterns: hierarchical ordering of, 41–53 higher-level patterns attached to, 43, 45, 66, 67 input in, 41, 42, 44, 66, 67 learning of, 63–64, 90 name of, 42–43 output of, 42, 44, 66, 67 redundancy and, 64 specific areas of neocortex associated with, 86–87, 89–90, 91, 111, 152 storing of, 64–65 structure of, 41–53 Patterns, Inc., 156 Pavlov, Ivan Petrovich, 216 Penrose, Roger, 207–8, 274 perceptions, as influenced by expectations and interpretations, 31 perceptrons, 131–35 Perceptrons (Minsky and Papert), 134–35, 134 phenylethylamine, 118 Philosophical Investigations (Wittgenstein), 221 phonemes, 61, 135, 137, 146, 152 photons, 20–21 physics, 37 computational capacity and, 281, 316n–19n laws of, 37, 267 standard model of, 2 see also quantum mechanics Pinker, Steven, 76–77, 278 pituitary gland, 77 Plato, 212, 221, 231 pleasure, in old and new brains, 104–8 Poggio, Tomaso, 85, 159 posterior ventromedial nucleus (VMpo), 99–100, 99 prairie vole, 119 predictable outcomes, determined outcomes vs., 26, 239 President’s Council of Advisors on Science and Technology, 269 price/performance, of computation, 4–5, 250–51, 257, 257, 267–68, 301n–3n Principia Mathematica (Russell and Whitehead), 181 probability fields, 218–19, 235–36 professional knowledge, 39–40 proteins, reverse-engineering of, 4–5 qualia, 203–5, 210, 211 quality of life, perception of, 277–78 quantum computing, 207–9, 274 quantum mechanics, 218–19 observation in, 218–19, 235–36 randomness vs. determinism in, 236 Quinlan, Karen Ann, 101 Ramachandran, Vilayanur Subramanian “Rama,” 230 random access memory: growth in, 259, 260, 301n–3n, 306n–7n three-dimensional, 268 randomness, determinism and, 236 rationalization, see confabulation reality, hierarchical nature of, 4, 56, 90, 94, 172 recursion, 3, 7–8, 56, 65, 91, 153, 156, 177, 188 “Red” (Oluseum), 204 redundancy, 9, 39–40, 64, 184, 185, 197, 224 in genome, 271, 314n, 315n of memories, 59 of pattern recognition modules, 42, 43, 48, 91 thinking and, 57 religious ecstacy, 118 “Report to the President and Congress, Designing a Digital Future” (President’s Council of Advisors on Science and Technology), 269 retina, 95 reverse-engineering: of biological systems, 4–5 of human brain, see brain, human, computer emulation of; neocortex, digital Rosenblatt, Frank, 131, 133, 134, 135, 191 Roska, Boton, 94 Rothblatt, Martine, 278 routine tasks, as series of hierarchical steps, 32–33 Rowling, J.


pages: 542 words: 161,731

Alone Together by Sherry Turkle

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Albert Einstein, Columbine, global village, Hacker Ethic, helicopter parent, Howard Rheingold, industrial robot, information retrieval, Jacques de Vaucanson, Jaron Lanier, Kevin Kelly, Loebner Prize, Marshall McLuhan, meta analysis, meta-analysis, Nicholas Carr, Norbert Wiener, Ralph Waldo Emerson, Rodney Brooks, Skype, stem cell, technoutopianism, The Great Good Place, the medium is the message, theory of mind, Turing test, Vannevar Bush, Wall-E, women in the workforce

It would be another decade before Levy was bested in chess by a computer program, Deep Thought, an early version of the program that beat Gary Kasparov, the reigning chess champion in the 1990s.3 These days, Levy is the chief executive officer at a company that develops “smart” toys for children. In 2009, Levy and his team won—and this for the second time—the prestigious Loebner Prize, widely regarded as the world championship for conversational software. In this contest, Levy’s “chat bot” program was best at convincing people that they were talking to another person and not to a machine. Always impressed with Levy’s inventiveness, I found myself underwhelmed by the message of this latest book, Love and Sex with Robots.4 No tongue-in-cheek science fiction fantasy, it was reviewed without irony in the New York Times by a reporter who had just spent two weeks at the Massachusetts Institute of Technology (MIT) and wrote glowingly about its robotics culture as creating “new forms of life.”5 Love and Sex is earnest in its predictions about where people and robots will find themselves by mid-century: “Love with robots will be as normal as love with other humans, while the number of sexual acts and lovemaking positions commonly practiced between humans will be extended, as robots will teach more than is in all of the world’s published sex manuals combined.” 6 Levy argues that robots will teach us to be better friends and lovers because we will be able to practice on them.

Binney, “Virtual Experiences, Physical Behaviors: The Effect of Presence on Imitation of an Eating Avatar,” PRESENCE: Teleoperators and Virtual Environments 18, no. 4: 294-303, and J. A. Fox and J. N. Bailenson, “Virtual Self-modeling: The Effects of Vicarious Reinforcement and Identification on Exercise Behaviors,” Media Psychology 12 (2009): 1-25. 7 Turkle, Life on the Screen. 8 The Loebner Prize Competition also awards a prize to the person who is most obviously a person, the person who is least confused with an artificial intelligence. See Charles Platt, “What’s It Mean to Be Human, Anyway?” Wired, May 1995, www.wired.com/wired/archive/3.04/turing_pr.html (accessed May 31, 2010). 9 Mihaly Csíkszentmihalyi, Beyond Boredom and Anxiety (San Francisco: Jossey-Bass, 2000 [1st ed. 1975]), and Natasha Schüll, Addiction by Design: Machine Gambling in Las Vegas (Princeton, NJ: Princeton University Press, forthcoming). 10 Mihaly Csíkszentmihalyi, Flow: The Psychology of Optimal Experience (New York: Harper & and Row, 1990). 11 With too much volume, of course, e-mail becomes too stressful to be relaxing.


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Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence by Jerry Kaplan

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Affordable Care Act / Obamacare, Amazon Web Services, asset allocation, autonomous vehicles, bank run, bitcoin, Brian Krebs, buy low sell high, Capital in the Twenty-First Century by Thomas Piketty, combinatorial explosion, computer vision, corporate governance, crowdsourcing, en.wikipedia.org, Erik Brynjolfsson, estate planning, Flash crash, Gini coefficient, Goldman Sachs: Vampire Squid, haute couture, hiring and firing, income inequality, index card, industrial robot, invention of agriculture, Jaron Lanier, Jeff Bezos, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, Loebner Prize, Mark Zuckerberg, mortgage debt, natural language processing, Own Your Own Home, pattern recognition, Satoshi Nakamoto, school choice, Schrödinger's Cat, Second Machine Age, self-driving car, sentiment analysis, Silicon Valley, Silicon Valley startup, Skype, software as a service, The Chicago School, Turing test, Watson beat the top human players on Jeopardy!, winner-take-all economy, women in the workforce, working poor, Works Progress Administration

They could bring your coffee in the morning and have your favorite drink ready for your trip home, while you relax in one of perhaps four “captain’s chairs” in the van, complete with tray table and entertainment system, similar to a first-class airplane seat. 13. Alan Turing, “Computing Machinery and Intelligence,” Mind 59, no. 236 (1950): 433–60, http://mind.oxfordjournals.org/content/LIX/236/433. 14. http://en.wikipedia.org/wiki/Loebner_Prize#Winners, last modified December 29, 2014. 15. Turing, “Computing Machinery and Intelligence,” 442. 16. Paul Miller, “iOS 5 includes Siri ‘Intelligent Assistant’ Voice-Control, Dictation—for iPhone 4S Only,” The Verge, October 4, 2011, http://www.theverge.com/2011/10/04/ios-5-assistant-voice-control-ai-features/. 17.

The Singularity Is Near: When Humans Transcend Biology by Ray Kurzweil

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additive manufacturing, AI winter, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, Albert Einstein, anthropic principle, Any sufficiently advanced technology is indistinguishable from magic, artificial general intelligence, augmented reality, autonomous vehicles, Benoit Mandelbrot, Bill Joy: nanobots, bioinformatics, brain emulation, Brewster Kahle, Brownian motion, business intelligence, c2.com, call centre, carbon-based life, cellular automata, Claude Shannon: information theory, complexity theory, conceptual framework, Conway's Game of Life, cosmological constant, cosmological principle, cuban missile crisis, data acquisition, Dava Sobel, David Brooks, Dean Kamen, disintermediation, double helix, Douglas Hofstadter, en.wikipedia.org, epigenetics, factory automation, friendly AI, George Gilder, Gödel, Escher, Bach, informal economy, information retrieval, invention of the telephone, invention of the telescope, invention of writing, Isaac Newton, iterative process, Jaron Lanier, Jeff Bezos, job automation, job satisfaction, John von Neumann, Kevin Kelly, Law of Accelerating Returns, life extension, linked data, Loebner Prize, Louis Pasteur, mandelbrot fractal, Mikhail Gorbachev, mouse model, Murray Gell-Mann, mutually assured destruction, natural language processing, Network effects, new economy, Norbert Wiener, oil shale / tar sands, optical character recognition, pattern recognition, phenotype, premature optimization, randomized controlled trial, Ray Kurzweil, remote working, reversible computing, Richard Feynman, Richard Feynman, Rodney Brooks, Search for Extraterrestrial Intelligence, semantic web, Silicon Valley, Singularitarianism, speech recognition, statistical model, stem cell, Stephen Hawking, Stewart Brand, strong AI, superintelligent machines, technological singularity, Ted Kaczynski, telepresence, The Coming Technological Singularity, transaction costs, Turing machine, Turing test, Vernor Vinge, Y2K, Yogi Berra

As I have pointed out, there is no simple means to pass a Turing test, other than to convincingly emulate the flexibility, subtlety, and suppleness of human intelligence. Having captured that capability in our technology, it will then be subject to engineering's ability to concentrate, focus, and amplify it. Variations of the Turing test have been proposed. The annual Loebner Prize contest awards a bronze prize to the chatterbot (conversational bot) best able to convince human judges that it's human.217 The criteria for winning the silver prize is based on Turing's original test, and it obviously has yet to be awarded. The gold prize is based on visual and auditory communication.

Hans Moravec, "When Will Computer Hardware Match the Human Brain?" Journal of Evolution and Technology 1 (1998). 215. Ray Kurzweil, The Age of Spiritual Machines (New York: Viking, 1999), p. 156. 216. See chapter 2, notes 22 and 23, on the International Technology Roadmap for Semiconductors. 217. "The First Turing Test," http://www.loebner.net/Prizef/loebner-prize.html. 218. Douglas R. Hofstadter, "A Coffeehouse Conversation on the Turing Test," May 1981, included in Ray Kurzweil, The Age of Intelligent Machines (Cambridge, Mass.: MIT Press, 1990), pp. 80–102, http://www.KurzweilAI.net/meme/frame.html?main=/articles/art0318.html. 219. Ray Kurzweil, "Why I Think I Will Win," and Mitch Kapor, "Why I Think I Will Win," rules: http://www.KurzweilAI.net/meme/frame.html?


pages: 294 words: 81,292

Our Final Invention: Artificial Intelligence and the End of the Human Era by James Barrat

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3D printing, AI winter, Amazon Web Services, artificial general intelligence, Automated Insights, Bernie Madoff, Bill Joy: nanobots, brain emulation, cellular automata, cloud computing, cognitive bias, computer vision, cuban missile crisis, Daniel Kahneman / Amos Tversky, Danny Hillis, data acquisition, don't be evil, Extropian, finite state, Flash crash, friendly AI, friendly fire, Google Glasses, Google X / Alphabet X, Isaac Newton, Jaron Lanier, John von Neumann, Kevin Kelly, Law of Accelerating Returns, life extension, Loebner Prize, lone genius, mutually assured destruction, natural language processing, Nicholas Carr, optical character recognition, PageRank, pattern recognition, Peter Thiel, prisoner's dilemma, Ray Kurzweil, Rodney Brooks, Search for Extraterrestrial Intelligence, self-driving car, semantic web, Silicon Valley, Singularitarianism, Skype, smart grid, speech recognition, statistical model, stealth mode startup, stem cell, Stephen Hawking, Steve Jobs, Steve Wozniak, strong AI, Stuxnet, superintelligent machines, technological singularity, The Coming Technological Singularity, traveling salesman, Turing machine, Turing test, Vernor Vinge, Watson beat the top human players on Jeopardy!, zero day

Second, if the AI’s cognitive architecture is derived from human brains, or from a human brain upload, it may not be as alien as purely new AI. But, there’s a vigorous debate among computer scientists whether that connection to mankind will solve problems or create them. No computer has yet passed the Turing test, though each year the controversial Loebner Prize, sponsored by philanthropist Hugh Loebner, is offered to the maker of one that does. But while the $100,000 grand prize goes unclaimed, an annual contest awards $7,000 to the creator of the “most humanlike computer.” For the last few years they’ve been chatbots—robots created to simulate conversation, with little success.


pages: 380 words: 104,841

The Human Age: The World Shaped by Us by Diane Ackerman

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23andMe, 3D printing, additive manufacturing, airport security, Albert Einstein, augmented reality, back-to-the-land, carbon footprint, clean water, dark matter, dematerialisation, double helix, Drosophila, epigenetics, Google Earth, Google Glasses, haute cuisine, Internet of things, Loebner Prize, Louis Pasteur, Masdar, megacity, microbiome, nuclear winter, personalized medicine, phenotype, Ray Kurzweil, refrigerator car, Search for Extraterrestrial Intelligence, SETI@home, skunkworks, Skype, stem cell, Stewart Brand, the High Line, theory of mind, urban planning, urban renewal, Whole Earth Catalog

The “twaikus” appear too fast to contemplate, which rather defeats the original purpose of haikus. But at 140 characters they’re a great way to let off steam, and they’re immensely popular. When Robots Weep, Who Will Comfort Them? 214“when, by the glimmer of the half-extinguished light”: Mary Shelley, Frankenstein, chapter 5. 230On September 14, 2013, the annual Loebner Prize for robots that can pass for human went to a chatbot named Mitsuku. However, it ultimately gave itself away in December with this exchange. Q: “Why am I tired after a long sleep?” A: “The reason is due to my mental model of you as a client.” 231“Can we live inside a house”: Technological inventions, such as refrigerators and refrigerated train cars, made frozen food possible, including nutritious out-of-season foods, such as frozen fruits and vegetables.


pages: 303 words: 67,891

Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the Agi Workshop 2006 by Ben Goertzel, Pei Wang

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AI winter, artificial general intelligence, bioinformatics, brain emulation, combinatorial explosion, complexity theory, computer vision, conceptual framework, correlation coefficient, epigenetics, friendly AI, information retrieval, Isaac Newton, John Conway, Loebner Prize, Menlo Park, natural language processing, Occam's razor, p-value, pattern recognition, performance metric, Ray Kurzweil, Rodney Brooks, semantic web, statistical model, strong AI, theory of mind, traveling salesman, Turing machine, Turing test, Von Neumann architecture, Y2K

We don’t have repeatable experiments because no one in the field can repeat the experiments of anyone else in the field really. We don’t have post docs, we don’t have degree programs, we don’t have a curriculum, we don’t even have an AI prize, that’s the equivalent of the Nobel prize or something. [Ben Goertzel]: There’s the Loebner prize. [Phil Goetz]: But nobody’s won it. Do we even really have a community in the way that many others sciences do? So I guess I would like to pose the question to whoever among you would choose to answer it: Have we reached the status of being a science and if not, what can we do to be more scientific?


pages: 551 words: 174,280

The Beginning of Infinity: Explanations That Transform the World by David Deutsch

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agricultural Revolution, Albert Michelson, anthropic principle, artificial general intelligence, Bonfire of the Vanities, conceptual framework, cosmological principle, dark matter, David Attenborough, discovery of DNA, Douglas Hofstadter, Eratosthenes, Ernest Rutherford, first-past-the-post, Georg Cantor, Gödel, Escher, Bach, illegal immigration, invention of movable type, Isaac Newton, Islamic Golden Age, Jacquard loom, Jacquard loom, John Conway, John von Neumann, Joseph-Marie Jacquard, Loebner Prize, Louis Pasteur, pattern recognition, Richard Feynman, Richard Feynman, Search for Extraterrestrial Intelligence, Stephen Hawking, supervolcano, technological singularity, The Coming Technological Singularity, the scientific method, Thomas Malthus, Thorstein Veblen, Turing test, Vernor Vinge, Whole Earth Review, William of Occam

Should the rules nevertheless allow the human to do this, in order to mitigate the previous problem? Unfortunately, such subtleties are not relevant at the current state of the art. This is well illustrated by the following excerpts from the conversation with which the program Elbot won the (lesser) Loebner prize in 2008: JUDGE: do you understand the point of a turing test? ELBOT: There are some people who would not pass the Turing test themselves. Why must they inflict it on computers? JUDGE: I spose it is a little harsh ELBOT: If we robots ever had marriages they would be eternal: ‘Till rust do us part’.