The Creativity Code: How AI Is Learning to Write, Paint and Think
by Marcus Du Sautoy · 7 Mar 2019 · 337pp · 103,522 words
are few journalists crying over Associated Press’s decision to enlist machines to help tell these stories. Algorithms like Wordsmith, created by Automated Insights, or Narrative Science’s Quill are now helping to churn out data-driven stories that match the dry efficiency of many of the articles that humans used to
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who probably supported the home baseball team that had suffered the humiliating defeat and had buried the achievement in the penultimate paragraph. The team at Narrative Science were interested to take the data from the game to see what their algorithm would make of it. Here is the beginning of the article
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Test and 200–2, 220–1 Musil, Robert 276 Musk, Elon 25 Namagiri 14 Nam June Paik 119 NaNoGenMo (National Novel Generation Month) 282–3 Narrative Science 293, 295 Naruto (macaque) 108–9 National Novel Writing Month 282 Nature 28, 152 Neanderthals 104, 231 Nees, Georg 110, 111–12, 113, 114, 117
To Save Everything, Click Here: The Folly of Technological Solutionism
by Evgeny Morozov · 15 Nov 2013 · 606pp · 157,120 words
news) or some gossipy tidbit about her life with Brad Pitt (if you are into Hollywood affairs). Many firms—with names like Automated Insights and Narrative Science—already employ algorithms to produce stories automatically. The next logical step—and probably a very lucrative one—will be to target such stories to individual
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and intellectual buttons for each reader—so that no bought book goes unread. A growing number of newspapers and magazines already turn to companies like Narrative Science to supply them with articles—mostly about sports and finance—produced by algorithms. There’s no reason to believe that Amazon can’t do this
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, see my Slate column: Evgeny Morozov, “A Robot Stole My Pulitzer,” Slate, March 19, 2012, http://www.slate.com/articles/technology/future_tense/2012/03/narrative_science_robot_journalists_customized_news_and_the_danger_to_civil_discourse_.html. 163 “I often wonder how many people”: Katy Waldman, “Popping the Myth of the
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technological enforcement and situational crime prevention and technology and willpower Motivation and gamification Mubarak, Hosni Music critics Music industry Music Xray MyLifeBits MySpace Narrative imagination Narrative Science National Crime Information Center, FBI National Endowment for Democracy National Endowment for the Arts (NEA) Natural Fuse Nature, and technology Naughton, John NEA. See National
Rise of the Robots: Technology and the Threat of a Jobless Future
by Martin Ford · 4 May 2015 · 484pp · 104,873 words
Northwestern University researchers who oversaw the team of computer science and journalism students who worked on StatsMonkey raised venture capital and founded a new company, Narrative Science, Inc., to commercialize the technology. The company hired a team of top computer scientists and engineers; then it tossed out the original StatsMonkey computer code
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and built a far more powerful and comprehensive artificial intelligence engine that it named “Quill.” Narrative Science’s technology is used by top media outlets, including Forbes, to produce automated articles in a variety of areas, including sports, business, and politics. The
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published on widely known websites that prefer not to acknowledge their use of the service. At a 2011 industry conference, Wired writer Steven Levy prodded Narrative Science co-founder Kristian Hammond into predicting the percentage of news articles that would be written algorithmically within fifteen years. His answer: over 90 percent.2
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Narrative Science has its sights set on far more than just the news industry. Quill is designed to be a general-purpose analytical and narrative-writing engine,
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analysts. Once it’s configured, the Quill system can generate business reports nearly instantaneously and deliver them continuously—all without human intervention.3 One of Narrative Science’s earliest backers was In-Q-Tel, the venture capital arm of the Central Intelligence Agency, and the company’s tools will likely be used
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of those with four-year degrees were found to have poor writing—and in some cases even reading—skills.4 If intelligent software can, as Narrative Science claims, begin to rival the most capable human analysts, the future growth of knowledge-based employment is in doubt for all college graduates, especially the
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these new graduates are likely to seek. Even as essay-grading algorithms and robotic tutors help teach students to write, algorithms like those developed by Narrative Science might have already automated much of the routine, entry-level writing in many areas. There may also prove to be a natural synergy between the
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Human Reporter?,” Wired, April 24, 2012, http://www.wired.com/2012/04/can-an-algorithm-write-a-better-news-story-than-a-human-reporter. 3. Narrative Science corporate website, http://narrativescience.com. 4. George Leef, “The Skills College Graduates Need,” Pope Center for Education Policy, December 14, 2006, http://www.popecenter.org
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Myers, P. Z., 237 Myrdal, Gunnar, 30 NAFTA. See North American Free Trade Agreement (NAFTA) nano-filters, 245 Nanosystems (Drexler), 242 nanotechnology, 70n, 241–248 Narrative Science, Inc., 84–86, 144 narrative-writing machine, 84–86 narrow artificial intelligence, 229–230 National Bureau of Standards and Technology, 90, 99 National Climate Assessment
Picnic Comma Lightning: In Search of a New Reality
by Laurence Scott · 11 Jul 2018 · 244pp · 81,334 words
in itself is not the truth. We seem to be innately hospitable to the goings-on in the outside world when it is structured as narrative. Science is beginning to understand the physiological mechanisms for our love of stories. Paul Zak’s work combines neurology and economics, in order to understand how
Humans Are Underrated: What High Achievers Know That Brilliant Machines Never Will
by Geoff Colvin · 3 Aug 2015 · 271pp · 77,448 words
understanding of natural language with high-torque analytic power and you get a nonfiction writer, or at least a species of one. A company called Narrative Science makes software that writes articles that would not strike most people as computer-written. It focused first on events embodying lots of data: ball games
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than just numerical data, reading relevant material to create context for the article. A number of media companies, including Yahoo and Forbes, publish articles from Narrative Science, though some of the company’s customers don’t want to be identified and don’t tell readers which articles are computer-written. In mid
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-2014, the Associated Press assigned computers to write all its articles about corporate earnings announcements. Then Narrative Science realized that maybe the real money wasn’t in producing journalism at all (they could have asked any journalist about that) but in generating the
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is getting rapidly better. The people are not. Two, education as currently conceived is becoming really weird. After all, the report-writing software developed by Narrative Science and other companies is easily adapted to other markets, such as students’ papers. So we now have essay-grading software and essay-writing software, both
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-make-better-treatment-choices. Corporate Insight, a research firm . . . http://public.corporateinsight.com/blog/will-ibms-watson-make-your-financial-advisor-obsolete. A company called Narrative Science . . . Much of the description of the company comes from Steven Levy, “Can an Algorithm Write a Better News Story Than a Human Reporter?” Wired, 24
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Amadeus, 163, 166 Munger, Charlie, 171 murder, 183 Murnane, Richard J., 40 music, 163–64, 165 Nall, Mark, 14 narcissism, 81, 84 Narrative Networks, 157 Narrative Science, 20–22 National Retail Foundation, 1–2 National Training Center (NTC), 100, 105–7, 110–15, 201 Navy Fighter Weapons School (Top Gun), 93–100
Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
by Thomas H. Davenport · 4 Feb 2014
story with data,” but they don’t often enough employ narrative (rather than graphic images) to do so. This approach, used by such companies as Narrative Sciences and Automated Insights, creates a story from raw data. Automated narrative was initially used by these companies to write journalistic accounts of sporting contests, but
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, 118, 124, 129f, 131f, 146, 184, 195, 197, 199–200, 202 motivation of data scientists, 106 Mu Sigma, 104 MyZeo, 12 Naidoo, Allen, 121–122 Narrative Sciences, 126 National Security Agency, 19 natural language processing (NLP), 45, 67, 96, 114t, 181, 184 Netflix, 16, 42, 48–49, 66 Netflix Prize, 16, 22
The Fourth Industrial Revolution
by Klaus Schwab · 11 Jan 2016 · 179pp · 43,441 words
by a human writer and which one is the product of a robot. The technology is progressing so fast that Kristian Hammond, co-founder of Narrative Science, a company specializing in automated narrative generation, forecasts that by the mid-2020s, 90% of news could be generated by an algorithm, most of it
News and How to Use It: What to Believe in a Fake News World
by Alan Rusbridger · 26 Nov 2020 · 371pp · 109,320 words
process in which results only make sense with caveats and context; news needs to be simple, quick, direct, free of footnotes and built around human narratives. ‘Science news’ might therefore seem paradoxical. How can the delicate nuances of the scientific process survive the brutal simplification required by a news editor (SEE: CLIMATE
The People's Platform: Taking Back Power and Culture in the Digital Age
by Astra Taylor · 4 Mar 2014 · 283pp · 85,824 words
-poitras#ixzz2YfhpMdXu. 2. The other person Snowden contacted was the journalist Glenn Greenwald of the Guardian, with whom Poitras collaborated. 3. That start-up is Narrative Science, a computer program that generates sports stories. Janet Paskin, “The Future of Journalism?,” Columbia Journalism Review (November/December 2010): 10. 4. John Markoff, “Armies of
Average Is Over: Powering America Beyond the Age of the Great Stagnation
by Tyler Cowen · 11 Sep 2013 · 291pp · 81,703 words
the dog to keep the man away from the machines.” Software is also encroaching upon journalism. One experiment found that the intelligent mechanized analysis of Narrative Science, a start-up from Illinois, can do a passable job of taking statistics and writing up descriptions of sporting events, company financial reports, and macroeconomic
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’s Master, 134 Mueller, Andreas, 59 multinational corporations, 164 Murray, Charles, 231, 249 music, 146–47, 158 Myspace, 42, 209 mysticism, 153 Nakamura, Hikaru, 80 Narrative Science, 8–9 natural gas production, 177 natural language, 7, 119, 140–41 Naum (chess program), 72 negotiations in business, 12–13, 73 Netflix, 9 Nevada
Only Humans Need Apply: Winners and Losers in the Age of Smart Machines
by Thomas H. Davenport and Julia Kirby · 23 May 2016 · 347pp · 97,721 words
The End of Big: How the Internet Makes David the New Goliath
by Nicco Mele · 14 Apr 2013 · 270pp · 79,992 words
The Future of the Professions: How Technology Will Transform the Work of Human Experts
by Richard Susskind and Daniel Susskind · 24 Aug 2015 · 742pp · 137,937 words
The Economic Singularity: Artificial Intelligence and the Death of Capitalism
by Calum Chace · 17 Jul 2016 · 477pp · 75,408 words
Bold: How to Go Big, Create Wealth and Impact the World
by Peter H. Diamandis and Steven Kotler · 3 Feb 2015 · 368pp · 96,825 words
Futureproof: 9 Rules for Humans in the Age of Automation
by Kevin Roose · 9 Mar 2021 · 208pp · 57,602 words
The Future Is Faster Than You Think: How Converging Technologies Are Transforming Business, Industries, and Our Lives
by Peter H. Diamandis and Steven Kotler · 28 Jan 2020 · 501pp · 114,888 words
The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies
by Erik Brynjolfsson and Andrew McAfee · 20 Jan 2014 · 339pp · 88,732 words
Automate This: How Algorithms Came to Rule Our World
by Christopher Steiner · 29 Aug 2012 · 317pp · 84,400 words
The War on Normal People: The Truth About America's Disappearing Jobs and Why Universal Basic Income Is Our Future
by Andrew Yang · 2 Apr 2018 · 300pp · 76,638 words
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
by Pedro Domingos · 21 Sep 2015 · 396pp · 117,149 words
Robots Will Steal Your Job, But That's OK: How to Survive the Economic Collapse and Be Happy
by Pistono, Federico · 14 Oct 2012 · 245pp · 64,288 words