yottabyte

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Augmented: Life in the Smart Lane by Brett King

23andMe, 3D printing, additive manufacturing, Affordable Care Act / Obamacare, agricultural Revolution, Airbnb, Albert Einstein, Amazon Web Services, Any sufficiently advanced technology is indistinguishable from magic, Apollo 11, Apollo Guidance Computer, Apple II, artificial general intelligence, asset allocation, augmented reality, autonomous vehicles, barriers to entry, bitcoin, Bletchley Park, blockchain, Boston Dynamics, business intelligence, business process, call centre, chief data officer, Chris Urmson, Clayton Christensen, clean water, Computing Machinery and Intelligence, congestion charging, CRISPR, crowdsourcing, cryptocurrency, data science, deep learning, DeepMind, deskilling, different worldview, disruptive innovation, distributed generation, distributed ledger, double helix, drone strike, electricity market, Elon Musk, Erik Brynjolfsson, Fellow of the Royal Society, fiat currency, financial exclusion, Flash crash, Flynn Effect, Ford Model T, future of work, gamification, Geoffrey Hinton, gig economy, gigafactory, Google Glasses, Google X / Alphabet X, Hans Lippershey, high-speed rail, Hyperloop, income inequality, industrial robot, information asymmetry, Internet of things, invention of movable type, invention of the printing press, invention of the telephone, invention of the wheel, James Dyson, Jeff Bezos, job automation, job-hopping, John Markoff, John von Neumann, Kevin Kelly, Kickstarter, Kim Stanley Robinson, Kiva Systems, Kodak vs Instagram, Leonard Kleinrock, lifelogging, low earth orbit, low skilled workers, Lyft, M-Pesa, Mark Zuckerberg, Marshall McLuhan, megacity, Metcalfe’s law, Minecraft, mobile money, money market fund, more computing power than Apollo, Neal Stephenson, Neil Armstrong, Network effects, new economy, Nick Bostrom, obamacare, Occupy movement, Oculus Rift, off grid, off-the-grid, packet switching, pattern recognition, peer-to-peer, Ray Kurzweil, retail therapy, RFID, ride hailing / ride sharing, Robert Metcalfe, Salesforce, Satoshi Nakamoto, Second Machine Age, selective serotonin reuptake inhibitor (SSRI), self-driving car, sharing economy, Shoshana Zuboff, Silicon Valley, Silicon Valley startup, Skype, smart cities, smart grid, smart transportation, Snapchat, Snow Crash, social graph, software as a service, speech recognition, statistical model, stem cell, Stephen Hawking, Steve Jobs, Steve Wozniak, strong AI, synthetic biology, systems thinking, TaskRabbit, technological singularity, TED Talk, telemarketer, telepresence, telepresence robot, Tesla Model S, The future is already here, The Future of Employment, Tim Cook: Apple, trade route, Travis Kalanick, TSMC, Turing complete, Turing test, Twitter Arab Spring, uber lyft, undersea cable, urban sprawl, V2 rocket, warehouse automation, warehouse robotics, Watson beat the top human players on Jeopardy!, white picket fence, WikiLeaks, yottabyte

Act of 1812 14 Or Alexei Arkhipovich Leonov 15 The He-178, a turbojet aircraft, flew a couple of years earlier in 1939, but was not a pure jet turbine aircraft. 16 Also known as the Soviet Union 17 Winston Churchill, “Sinews of Peace” address, 5th March 1946. 18 12th September 1962 19 There are 1 million gigabytes (GB) in a petabyte. An exabyte (EB) is 1024 petabytes, a zettabyte (ZB) is 1024 exabytes and a yottabyte (YB)—named after the Star Wars character Yoda—is 1024 zettabytes. 20 Statistics from the Library of Congress 21 According to Google Books software engineer Leonid Taycher, the actual figure was 129,864,880 books as of 2010. 22 Allowing for an average of 1 megabyte (MB) equivalent of storage required for each book, and accounting for approximately 9 zettabytes of content generated in 2014, we get the above figures. 23 “Michelle Phan: From YouTube Star to $84 Million Startup Founder,” Re/code, 27 October 2014. 24 You can check it out at http://www.businessinsider.com.au/chart-of-the-day-smartphones-us-saturation-2013-1. 25 Kate Dreyer, “Mobile Internet Usage Skyrockets in Past 4 Years to Overtake Desktop as Most Used Digital Platform,” comScore, 13 April 2015. 26 “Your Phone Loses Value Pretty Fast,” Priceonomics, February 2012. 27 Jeff Desjardins, “The Market has no bite without FANG stocks,” Visual Capitalist, 20 November 2015, http://www.visualcapitalist.com/the-market-has-no-bite-without-the-fang-stocks-chart/. 28 4.7 per cent in the United States and 8.6 per cent in the United Kingdom by 2014 29 Author’s own analysis from Business Insider, LinkedIn raw data/sources 30 Erik Brynjolfsson and Andrew McAfee.

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An Augmented Age infused with technology advancements is better than the alternative by a wide margin. The Augmented Age will give us the greatest advantages and potential of any generation in the entire history of humanity, but only if we embrace change, transformation and innovation. Get ready for Life in the Smart Lane! ____________ 1 A yottabyte is one septillion bytes. In 2015 terms, the storage cost would be approximately US$100 trillion but, by 2030, it would equate to less than US$100 billion of today’s dollars. Given the role in health care that such data will play, this sort of storage space will be affordable and necessary. 2 Steve Kroft, “Falling Apart: America’s Neglected Infrastructure,” CBS News, November 2014. 3 “France warns climate change threatens global security,” Associated Press, 30 May 2015; http://www.salon.com/2015/05/30/ap_interview_france_warns_climate_change_threatens_security/.

As the Future Catches You: How Genomics & Other Forces Are Changing Your Work, Health & Wealth by Juan Enriquez

Albert Einstein, AOL-Time Warner, Apollo 13, Berlin Wall, bioinformatics, borderless world, British Empire, Buckminster Fuller, business cycle, creative destruction, digital divide, double helix, Ford Model T, global village, Gregor Mendel, half of the world's population has never made a phone call, Helicobacter pylori, Howard Rheingold, Jeff Bezos, Joseph Schumpeter, Kevin Kelly, knowledge economy, more computing power than Apollo, Neal Stephenson, new economy, personalized medicine, purchasing power parity, Ray Kurzweil, Richard Feynman, Robert Metcalfe, Search for Extraterrestrial Intelligence, SETI@home, Silicon Valley, spice trade, stem cell, the new new thing, yottabyte

THE HEART OF CELERA … IS THE WORLD’S LARGEST PRIVATE SUPERCOMPUTER … FED 24 HOURS A DAY … BY SEQUENCING ROBOTS … AND CREATED-PROGRAMMED-CONTROLLED … BY A DOZEN GREAT MINDS. Celera’s computers can already amass 1.3 teraflops of data, but soon this will increase a thousandfold to a slightly obscene-sounding “petabyte” of storage space … A petabyte is 1,000 trillion bits (1s and 0s) … Of course, after petabytes come exabytes, zettabytes, and yottabytes. (What is it with these guys—did they use Dr. Seuss as a consultant?) According to a U.C. Berkeley study, the entire world’s print and electronic media is producing about 1.5 exabytes worth of data per year (i.e., 500 billion U.S. photocopies, 610 billion global e-mails, 7.5 quadrillion minutes of phone conversations, etc.).

Clear Your Clutter With Feng Shui by Karen Kingston

job satisfaction, yottabyte

We’re not even talking terabytes (TB)—one terabyte being the equivalent of about 50,000 trees made into paper and printed. Or petabytes (PB)—200 petabytes representing approximately all the printed material on Earth. We’ve even exceeded exabytes (EB), which is 1,000 petabytes. Annual global Internet traffic is now measured in zettabytes (ZB), which is 1,000 exabytes. Beyond that is yottabytes (YB), and probably there will soon be a new unit called something like squiggabytes (SB?). The point I am making here is that there is a lot of information in the world. It’s on the same scale as what Douglas Adams says about space in his introduction to The Hitchhiker’s Guide to the Galaxy: “Space is big.

Data-Ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else by Steve Lohr

"World Economic Forum" Davos, 23andMe, Abraham Maslow, Affordable Care Act / Obamacare, Albert Einstein, Alvin Toffler, Bear Stearns, behavioural economics, big data - Walmart - Pop Tarts, bioinformatics, business cycle, business intelligence, call centre, Carl Icahn, classic study, cloud computing, computer age, conceptual framework, Credit Default Swap, crowdsourcing, Daniel Kahneman / Amos Tversky, Danny Hillis, data is the new oil, data science, David Brooks, driverless car, East Village, Edward Snowden, Emanuel Derman, Erik Brynjolfsson, everywhere but in the productivity statistics, financial engineering, Frederick Winslow Taylor, Future Shock, Google Glasses, Ida Tarbell, impulse control, income inequality, indoor plumbing, industrial robot, informal economy, Internet of things, invention of writing, Johannes Kepler, John Markoff, John von Neumann, lifelogging, machine translation, Mark Zuckerberg, market bubble, meta-analysis, money market fund, natural language processing, obamacare, pattern recognition, payday loans, personalized medicine, planned obsolescence, precision agriculture, pre–internet, Productivity paradox, RAND corporation, rising living standards, Robert Gordon, Robert Solow, Salesforce, scientific management, Second Machine Age, self-driving car, Silicon Valley, Silicon Valley startup, SimCity, six sigma, skunkworks, speech recognition, statistical model, Steve Jobs, Steven Levy, The Design of Experiments, the scientific method, Thomas Kuhn: the structure of scientific revolutions, Tony Fadell, unbanked and underbanked, underbanked, Von Neumann architecture, Watson beat the top human players on Jeopardy!, yottabyte

The data surge just keeps rising, about doubling in volume every two years. But I would argue that the most exaggerated—and often least important—aspect of big data is the “big.” The global data count becomes a kind of nerd’s parlor game of estimates and projections, an excursion into the linguistic backwater of zettabytes, yottabytes, and brontobytes. The numbers and their equivalents are impressive. Ninety percent of all of the data in history, by one estimate, was created in the last two years. In 2014, International Data Corporation estimated the data universe at 4.4 zettabytes, which is 4.4 trillion gigabytes. That volume of information, the research firm said, straining for perspective, would fill enough slender iPad Air tablets to create a stack more than 157,000 miles high, or two thirds of the way to the moon.

The Smartphone Society by Nicole Aschoff

"Susan Fowler" uber, 4chan, A Declaration of the Independence of Cyberspace, Airbnb, algorithmic bias, algorithmic management, Amazon Web Services, artificial general intelligence, autonomous vehicles, barriers to entry, Bay Area Rapid Transit, Bernie Sanders, Big Tech, Black Lives Matter, blockchain, carbon footprint, Carl Icahn, Cass Sunstein, citizen journalism, cloud computing, correlation does not imply causation, crony capitalism, crowdsourcing, cryptocurrency, data science, deep learning, DeepMind, degrowth, Demis Hassabis, deplatforming, deskilling, digital capitalism, digital divide, do what you love, don't be evil, Donald Trump, Downton Abbey, Edward Snowden, Elon Musk, Evgeny Morozov, fake news, feminist movement, Ferguson, Missouri, Filter Bubble, financial independence, future of work, gamification, gig economy, global value chain, Google Chrome, Google Earth, Googley, green new deal, housing crisis, income inequality, independent contractor, Jaron Lanier, Jeff Bezos, Jessica Bruder, job automation, John Perry Barlow, knowledge economy, late capitalism, low interest rates, Lyft, M-Pesa, Mark Zuckerberg, minimum wage unemployment, mobile money, moral panic, move fast and break things, Naomi Klein, Network effects, new economy, Nicholas Carr, Nomadland, occupational segregation, Occupy movement, off-the-grid, offshore financial centre, opioid epidemic / opioid crisis, PageRank, Patri Friedman, peer-to-peer, Peter Thiel, pets.com, planned obsolescence, quantitative easing, Ralph Waldo Emerson, RAND corporation, Ray Kurzweil, RFID, Richard Stallman, ride hailing / ride sharing, Rodney Brooks, Ronald Reagan, Salesforce, Second Machine Age, self-driving car, shareholder value, sharing economy, Sheryl Sandberg, Shoshana Zuboff, Sidewalk Labs, Silicon Valley, single-payer health, Skype, Snapchat, SoftBank, statistical model, Steve Bannon, Steve Jobs, surveillance capitalism, TaskRabbit, tech worker, technological determinism, TED Talk, the scientific method, The Structural Transformation of the Public Sphere, TikTok, transcontinental railway, transportation-network company, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, upwardly mobile, Vision Fund, W. E. B. Du Bois, wages for housework, warehouse robotics, WikiLeaks, women in the workforce, yottabyte

With the extension of the internet to more spheres of life, combined with the dramatically increased processing power and storage capacity of computers, and the democratization of machine learning through easy-to-use open-source software packages, we are generating, saving, and processing an unfathomably large amount of data.52 The data is so vast that we resort to made-up-sounding words to describe and predict it—exabytes, zettabytes, yottabytes. The quantity of the data, much more than its quality or the algorithms used to process it (though many are quite powerful), has many observers seeing an endless horizon of profitability and innovation. Data is now valuable. What was once viewed as frivolous and useless has become valuable. Two big-data experts, Victor Mayer-Schönberger and Kenneth Cukier, argue: “Although data has long been valuable, it was either seen as ancillary to the core operations of running a business, or limited to relatively narrow categories such as intellectual property or personal information.

Artificial Unintelligence: How Computers Misunderstand the World by Meredith Broussard

"Susan Fowler" uber, 1960s counterculture, A Declaration of the Independence of Cyberspace, Ada Lovelace, AI winter, Airbnb, algorithmic bias, AlphaGo, Amazon Web Services, autonomous vehicles, availability heuristic, barriers to entry, Bernie Sanders, Big Tech, bitcoin, Buckminster Fuller, Charles Babbage, Chris Urmson, Clayton Christensen, cloud computing, cognitive bias, complexity theory, computer vision, Computing Machinery and Intelligence, crowdsourcing, Danny Hillis, DARPA: Urban Challenge, data science, deep learning, Dennis Ritchie, digital map, disruptive innovation, Donald Trump, Douglas Engelbart, driverless car, easy for humans, difficult for computers, Electric Kool-Aid Acid Test, Elon Musk, fake news, Firefox, gamification, gig economy, global supply chain, Google Glasses, Google X / Alphabet X, Greyball, Hacker Ethic, independent contractor, Jaron Lanier, Jeff Bezos, Jeremy Corbyn, John Perry Barlow, John von Neumann, Joi Ito, Joseph-Marie Jacquard, life extension, Lyft, machine translation, Mark Zuckerberg, mass incarceration, Minecraft, minimum viable product, Mother of all demos, move fast and break things, Nate Silver, natural language processing, Northpointe / Correctional Offender Management Profiling for Alternative Sanctions, One Laptop per Child (OLPC), opioid epidemic / opioid crisis, PageRank, Paradox of Choice, payday loans, paypal mafia, performance metric, Peter Thiel, price discrimination, Ray Kurzweil, ride hailing / ride sharing, Ross Ulbricht, Saturday Night Live, school choice, self-driving car, Silicon Valley, Silicon Valley billionaire, speech recognition, statistical model, Steve Jobs, Steven Levy, Stewart Brand, TechCrunch disrupt, Tesla Model S, the High Line, The Signal and the Noise by Nate Silver, theory of mind, traumatic brain injury, Travis Kalanick, trolley problem, Turing test, Uber for X, uber lyft, Watson beat the top human players on Jeopardy!, We are as Gods, Whole Earth Catalog, women in the workforce, work culture , yottabyte

These data points would not show up on a video conference because the video camera, which captures images as pixels in a grid, doesn’t have the hardware capacity to capture and show these very small variations. The video would be displayed on a computer screen, which is also constrained by hardware. The screen has a fixed resolution and refresh rate. It only allows your eyes to take in a finite amount of information. By contrast, your optic nerve is taking in yottabytes of information and processing it every moment. You get better information from the high-resolution world. As screens have become higher in resolution, video conferencing has become more popular. However, there is still a hierarchy. An email is effective like a postcard is effective—but a five-minute phone call is better than a two-page email because of the additional texture and complexity and information that you get from intonation and from the sheer fact of connecting and communicating with the person.

The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future by Kevin Kelly

A Declaration of the Independence of Cyberspace, Aaron Swartz, AI winter, Airbnb, Albert Einstein, Alvin Toffler, Amazon Web Services, augmented reality, bank run, barriers to entry, Baxter: Rethink Robotics, bitcoin, blockchain, book scanning, Brewster Kahle, Burning Man, cloud computing, commoditize, computer age, Computer Lib, connected car, crowdsourcing, dark matter, data science, deep learning, DeepMind, dematerialisation, Downton Abbey, driverless car, Edward Snowden, Elon Musk, Filter Bubble, Freestyle chess, Gabriella Coleman, game design, Geoffrey Hinton, Google Glasses, hive mind, Howard Rheingold, index card, indoor plumbing, industrial robot, Internet Archive, Internet of things, invention of movable type, invisible hand, Jaron Lanier, Jeff Bezos, job automation, John Markoff, John Perry Barlow, Kevin Kelly, Kickstarter, lifelogging, linked data, Lyft, M-Pesa, machine readable, machine translation, Marc Andreessen, Marshall McLuhan, Mary Meeker, means of production, megacity, Minecraft, Mitch Kapor, multi-sided market, natural language processing, Netflix Prize, Network effects, new economy, Nicholas Carr, off-the-grid, old-boy network, peer-to-peer, peer-to-peer lending, personalized medicine, placebo effect, planetary scale, postindustrial economy, Project Xanadu, recommendation engine, RFID, ride hailing / ride sharing, robo advisor, Rodney Brooks, self-driving car, sharing economy, Silicon Valley, slashdot, Snapchat, social graph, social web, software is eating the world, speech recognition, Stephen Hawking, Steven Levy, Ted Nelson, TED Talk, The future is already here, the long tail, the scientific method, transport as a service, two-sided market, Uber for X, uber lyft, value engineering, Watson beat the top human players on Jeopardy!, WeWork, Whole Earth Review, Yochai Benkler, yottabyte, zero-sum game

Exabytes are the current planetary scale. We’ll probably reach zetta in a few years. Yotta is the last scientific term for which we have an official measure of magnitude. Bigger than yotta is blank. Until now, any more than a yotta was a fantasy not deserving an official name. But we’ll be flinging around yottabytes in two decades or so. For anything beyond yotta, I propose we use the single term “zillion”—a flexible notation to cover any and all new magnitudes at this scale. Large quantities of something can transform the nature of those somethings. More is different. Computer scientist J. Storrs Hall writes: “If there is enough of something, it is possible, indeed not unusual, for it to have properties not exhibited at all in small, isolated examples.

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World by Pedro Domingos

Albert Einstein, Amazon Mechanical Turk, Arthur Eddington, backpropagation, basic income, Bayesian statistics, Benoit Mandelbrot, bioinformatics, Black Swan, Brownian motion, cellular automata, Charles Babbage, Claude Shannon: information theory, combinatorial explosion, computer vision, constrained optimization, correlation does not imply causation, creative destruction, crowdsourcing, Danny Hillis, data is not the new oil, data is the new oil, data science, deep learning, DeepMind, double helix, Douglas Hofstadter, driverless car, Erik Brynjolfsson, experimental subject, Filter Bubble, future of work, Geoffrey Hinton, global village, Google Glasses, Gödel, Escher, Bach, Hans Moravec, incognito mode, information retrieval, Jeff Hawkins, job automation, John Markoff, John Snow's cholera map, John von Neumann, Joseph Schumpeter, Kevin Kelly, large language model, lone genius, machine translation, mandelbrot fractal, Mark Zuckerberg, Moneyball by Michael Lewis explains big data, Narrative Science, Nate Silver, natural language processing, Netflix Prize, Network effects, Nick Bostrom, NP-complete, off grid, P = NP, PageRank, pattern recognition, phenotype, planetary scale, power law, pre–internet, random walk, Ray Kurzweil, recommendation engine, Richard Feynman, scientific worldview, Second Machine Age, self-driving car, Silicon Valley, social intelligence, speech recognition, Stanford marshmallow experiment, statistical model, Stephen Hawking, Steven Levy, Steven Pinker, superintelligent machines, the long tail, the scientific method, The Signal and the Noise by Nate Silver, theory of mind, Thomas Bayes, transaction costs, Turing machine, Turing test, Vernor Vinge, Watson beat the top human players on Jeopardy!, white flight, yottabyte, zero-sum game

Well, the number of possible answers is two for each question, so for two questions it’s two times two (yes-yes, yes-no, no-yes, and no-no), for three questions it’s two cubed (2 × 2 × 2 = 23), and for a thousand questions it’s two raised to the power of a thousand (21000). The trillion records in your database are one-gazillionth of 1 percent of 21000, where “gazillionth” means “zero point 286 zeros followed by 1.” Bottom line: no matter how much data you have—tera- or peta- or exa- or zetta- or yottabytes—you’ve basically seen nothing. The chances that the new case you need to make a decision on is already in the database are so vanishingly small that, without generalization, you won’t even get off the ground. If this all sounds a bit abstract, suppose you’re a major e-mail provider, and you need to label each incoming e-mail as spam or not spam.

What Technology Wants by Kevin Kelly

Albert Einstein, Alfred Russel Wallace, Apollo 13, Boeing 747, Buckminster Fuller, c2.com, carbon-based life, Cass Sunstein, charter city, classic study, Clayton Christensen, cloud computing, computer vision, cotton gin, Danny Hillis, dematerialisation, demographic transition, digital divide, double entry bookkeeping, Douglas Engelbart, Edward Jenner, en.wikipedia.org, Exxon Valdez, Fairchild Semiconductor, Ford Model T, George Gilder, gravity well, Great Leap Forward, Gregor Mendel, hive mind, Howard Rheingold, interchangeable parts, invention of air conditioning, invention of writing, Isaac Newton, Jaron Lanier, Joan Didion, John Conway, John Markoff, John von Neumann, Kevin Kelly, knowledge economy, Lao Tzu, life extension, Louis Daguerre, Marshall McLuhan, megacity, meta-analysis, new economy, off grid, off-the-grid, out of africa, Paradox of Choice, performance metric, personalized medicine, phenotype, Picturephone, planetary scale, precautionary principle, quantum entanglement, RAND corporation, random walk, Ray Kurzweil, recommendation engine, refrigerator car, rewilding, Richard Florida, Rubik’s Cube, Silicon Valley, silicon-based life, skeuomorphism, Skype, speech recognition, Stephen Hawking, Steve Jobs, Stewart Brand, Stuart Kauffman, technological determinism, Ted Kaczynski, the built environment, the long tail, the scientific method, Thomas Malthus, Vernor Vinge, wealth creators, Whole Earth Catalog, Y2K, yottabyte

One study estimated the Earth harbored 1030 single-cell microbes. A typical microbe, such as a yeast, produces one one-bit mutation per generation, which means one bit of unique information for every organism alive. Counting the microbes alone (about 50 percent of the biomass), the biosphere today contains 1030 bits, or 1029 bytes, or 10,000 yottabytes of genetic information. That’s a lot. And that is only the biological information. The technium is awash in its own ocean of information. It reflects 8,000 years of embedded human knowledge. Measured by the amount of digital storage in use, the technium today contains 487 exabytes (1020) of information, many orders smaller than nature’s total, but growing exponentially.

Terms of Service: Social Media and the Price of Constant Connection by Jacob Silverman

"World Economic Forum" Davos, 23andMe, 4chan, A Declaration of the Independence of Cyberspace, Aaron Swartz, Airbnb, airport security, Amazon Mechanical Turk, augmented reality, basic income, Big Tech, Brian Krebs, California gold rush, Californian Ideology, call centre, cloud computing, cognitive dissonance, commoditize, company town, context collapse, correlation does not imply causation, Credit Default Swap, crowdsourcing, data science, deep learning, digital capitalism, disinformation, don't be evil, driverless car, drone strike, Edward Snowden, Evgeny Morozov, fake it until you make it, feminist movement, Filter Bubble, Firefox, Flash crash, game design, global village, Google Chrome, Google Glasses, Higgs boson, hive mind, Ian Bogost, income inequality, independent contractor, informal economy, information retrieval, Internet of things, Jacob Silverman, Jaron Lanier, jimmy wales, John Perry Barlow, Kevin Kelly, Kevin Roose, Kickstarter, knowledge economy, knowledge worker, Larry Ellison, late capitalism, Laura Poitras, license plate recognition, life extension, lifelogging, lock screen, Lyft, machine readable, Mark Zuckerberg, Mars Rover, Marshall McLuhan, mass incarceration, meta-analysis, Minecraft, move fast and break things, national security letter, Network effects, new economy, Nicholas Carr, Occupy movement, off-the-grid, optical character recognition, payday loans, Peter Thiel, planned obsolescence, postindustrial economy, prediction markets, pre–internet, price discrimination, price stability, profit motive, quantitative hedge fund, race to the bottom, Ray Kurzweil, real-name policy, recommendation engine, rent control, rent stabilization, RFID, ride hailing / ride sharing, Salesforce, self-driving car, sentiment analysis, shareholder value, sharing economy, Sheryl Sandberg, Silicon Valley, Silicon Valley ideology, Snapchat, social bookmarking, social graph, social intelligence, social web, sorting algorithm, Steve Ballmer, Steve Jobs, Steven Levy, systems thinking, TaskRabbit, technological determinism, technological solutionism, technoutopianism, TED Talk, telemarketer, transportation-network company, Travis Kalanick, Turing test, Uber and Lyft, Uber for X, uber lyft, universal basic income, unpaid internship, women in the workforce, Y Combinator, yottabyte, you are the product, Zipcar

The NSA recently opened a $2 billion data center in Utah, a facility designed to help crack previously unbreakable encryption methods and to store and mine the billions of e-mails, phone calls, and other electronic communications that the NSA sucks up around the world. The data center is designed to handle a yottabyte—1 septillion bytes—or more of data. That’s hundreds of times more information than passes through the Internet each year; it’s vastly more than the sum of all human knowledge. In short, the data-capture and -mining ambitions of the U.S. intelligence apparatus are boundless. Already the NSA is able to record and sort all phone calls in several countries in real time.

Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World by Bruce Schneier

23andMe, Airbnb, airport security, AltaVista, Anne Wojcicki, AOL-Time Warner, augmented reality, behavioural economics, Benjamin Mako Hill, Black Swan, Boris Johnson, Brewster Kahle, Brian Krebs, call centre, Cass Sunstein, Chelsea Manning, citizen journalism, Citizen Lab, cloud computing, congestion charging, data science, digital rights, disintermediation, drone strike, Eben Moglen, Edward Snowden, end-to-end encryption, Evgeny Morozov, experimental subject, failed state, fault tolerance, Ferguson, Missouri, Filter Bubble, Firefox, friendly fire, Google Chrome, Google Glasses, heat death of the universe, hindsight bias, informal economy, information security, Internet Archive, Internet of things, Jacob Appelbaum, James Bridle, Jaron Lanier, John Gilmore, John Markoff, Julian Assange, Kevin Kelly, Laura Poitras, license plate recognition, lifelogging, linked data, Lyft, Mark Zuckerberg, moral panic, Nash equilibrium, Nate Silver, national security letter, Network effects, Occupy movement, operational security, Panopticon Jeremy Bentham, payday loans, pre–internet, price discrimination, profit motive, race to the bottom, RAND corporation, real-name policy, recommendation engine, RFID, Ross Ulbricht, satellite internet, self-driving car, Shoshana Zuboff, Silicon Valley, Skype, smart cities, smart grid, Snapchat, social graph, software as a service, South China Sea, sparse data, stealth mode startup, Steven Levy, Stuxnet, TaskRabbit, technological determinism, telemarketer, Tim Cook: Apple, transaction costs, Uber and Lyft, uber lyft, undersea cable, unit 8200, urban planning, Wayback Machine, WikiLeaks, workplace surveillance , Yochai Benkler, yottabyte, zero day

That big backup drive you might have purchased with it can probably store two or three terabytes. Your corporate network might have one thousand times that: a petabyte. There are names for bigger numbers. A thousand petabytes is an exabyte (a billion billion bytes), a thousand exabytes is a zettabyte, and a thousand zettabytes is a yottabyte. To put it in human terms, an exabyte of data is 500 billion pages of text. All of our data exhaust adds up. By 2010, we as a species were creating more data per day than we did from the beginning of time until 2003. By 2015, 76 exabytes of data will travel across the Internet every year. As we start thinking of all this data, it’s easy to dismiss concerns about its retention and use based on the assumption that there’s simply too much of it to save, and in any case it would be too hard to sift through for nuggets of meaningful information.

The Information: A History, a Theory, a Flood by James Gleick

Ada Lovelace, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, Albert Einstein, AltaVista, bank run, bioinformatics, Bletchley Park, Brownian motion, butterfly effect, Charles Babbage, citation needed, classic study, Claude Shannon: information theory, clockwork universe, computer age, Computing Machinery and Intelligence, conceptual framework, crowdsourcing, death of newspapers, discovery of DNA, Donald Knuth, double helix, Douglas Hofstadter, en.wikipedia.org, Eratosthenes, Fellow of the Royal Society, Gregor Mendel, Gödel, Escher, Bach, Henri Poincaré, Honoré de Balzac, index card, informal economy, information retrieval, invention of the printing press, invention of writing, Isaac Newton, Jacquard loom, Jaron Lanier, jimmy wales, Johannes Kepler, John von Neumann, Joseph-Marie Jacquard, Lewis Mumford, lifelogging, Louis Daguerre, machine translation, Marshall McLuhan, Menlo Park, microbiome, Milgram experiment, Network effects, New Journalism, Norbert Wiener, Norman Macrae, On the Economy of Machinery and Manufactures, PageRank, pattern recognition, phenotype, Pierre-Simon Laplace, pre–internet, quantum cryptography, Ralph Waldo Emerson, RAND corporation, reversible computing, Richard Feynman, Rubik’s Cube, Simon Singh, Socratic dialogue, Stephen Hawking, Steven Pinker, stochastic process, talking drums, the High Line, The Wisdom of Crowds, transcontinental railway, Turing machine, Turing test, women in the workforce, yottabyte

In the order of things as worked out by international standards committees, mega- led to giga-, tera-, peta-, and exa-, drawn from Greek, though with less and less linguistic fidelity. That was enough, for everything measured, until 1991, when the need was seen for the zettabyte (1,000,000,000,000,000,000,000) and the inadvertently comic sounding yottabyte (1,000,000,000,000, 000,000,000,000). In this climb up the exponential ladder information left other gauges behind. Money, for example, is scarce by comparison. After kilobucks, there were megabucks and gigabucks, and people can joke about inflation leading to terabucks, but all the money in the world, all the wealth amassed by all the generations of humanity, does not amount to a petabuck.

Free Speech: Ten Principles for a Connected World by Timothy Garton Ash

"World Economic Forum" Davos, A Declaration of the Independence of Cyberspace, Aaron Swartz, activist lawyer, Affordable Care Act / Obamacare, Andrew Keen, Apple II, Ayatollah Khomeini, battle of ideas, Berlin Wall, bitcoin, British Empire, Cass Sunstein, Chelsea Manning, citizen journalism, Citizen Lab, Clapham omnibus, colonial rule, critical race theory, crowdsourcing, data science, David Attenborough, digital divide, digital rights, don't be evil, Donald Davies, Douglas Engelbart, dual-use technology, Edward Snowden, Etonian, European colonialism, eurozone crisis, Evgeny Morozov, failed state, Fall of the Berlin Wall, Ferguson, Missouri, Filter Bubble, financial independence, Firefox, Galaxy Zoo, George Santayana, global village, Great Leap Forward, index card, Internet Archive, invention of movable type, invention of writing, Jaron Lanier, jimmy wales, John Markoff, John Perry Barlow, Julian Assange, Laura Poitras, machine readable, machine translation, Mark Zuckerberg, Marshall McLuhan, Mary Meeker, mass immigration, megacity, mutually assured destruction, national security letter, Nelson Mandela, Netflix Prize, Nicholas Carr, obamacare, Open Library, Parler "social media", Peace of Westphalia, Peter Thiel, power law, pre–internet, profit motive, public intellectual, RAND corporation, Ray Kurzweil, Ronald Reagan, semantic web, Sheryl Sandberg, Silicon Valley, Simon Singh, Snapchat, social graph, Stephen Fry, Stephen Hawking, Steve Jobs, Steve Wozniak, Streisand effect, technological determinism, TED Talk, The Death and Life of Great American Cities, The Wisdom of Crowds, Tipper Gore, trolley problem, Turing test, We are Anonymous. We are Legion, WikiLeaks, World Values Survey, Yochai Benkler, Yom Kippur War, yottabyte

New words must be coined to describe the number of bytes—the basic unit of digital memory, usually consisting of an ‘octet’ string of eight 1s and 0s—of information stored online: from the megabytes (MB, or 1,0002 bytes) and gigabytes (GB, or 1,0003 bytes) we have on our personal computers, all the way to the exabyte, zettabyte and yottabyte, or 1,000,000,000,000,000,000,000,000 individual bytes.23 According to an estimate by Cisco, it would take you about 6 million years to watch all the videos crossing global networks in a single month.24 As of 2015, there are already somewhere around 3 billion internet users, depending exactly how you define internet and user, and that number is growing rapidly.25 The fastest growth will come in the non-Western world, in wireless rather than wired and especially on mobile devices.

The Stack: On Software and Sovereignty by Benjamin H. Bratton

1960s counterculture, 3D printing, 4chan, Ada Lovelace, Adam Curtis, additive manufacturing, airport security, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, algorithmic trading, Amazon Mechanical Turk, Amazon Robotics, Amazon Web Services, Andy Rubin, Anthropocene, augmented reality, autonomous vehicles, basic income, Benevolent Dictator For Life (BDFL), Berlin Wall, bioinformatics, Biosphere 2, bitcoin, blockchain, Buckminster Fuller, Burning Man, call centre, capitalist realism, carbon credits, carbon footprint, carbon tax, carbon-based life, Cass Sunstein, Celebration, Florida, Charles Babbage, charter city, clean water, cloud computing, company town, congestion pricing, connected car, Conway's law, corporate governance, crowdsourcing, cryptocurrency, dark matter, David Graeber, deglobalization, dematerialisation, digital capitalism, digital divide, disintermediation, distributed generation, don't be evil, Douglas Engelbart, Douglas Engelbart, driverless car, Edward Snowden, Elon Musk, en.wikipedia.org, Eratosthenes, Ethereum, ethereum blockchain, Evgeny Morozov, facts on the ground, Flash crash, Frank Gehry, Frederick Winslow Taylor, fulfillment center, functional programming, future of work, Georg Cantor, gig economy, global supply chain, Google Earth, Google Glasses, Guggenheim Bilbao, High speed trading, high-speed rail, Hyperloop, Ian Bogost, illegal immigration, industrial robot, information retrieval, Intergovernmental Panel on Climate Change (IPCC), intermodal, Internet of things, invisible hand, Jacob Appelbaum, James Bridle, Jaron Lanier, Joan Didion, John Markoff, John Perry Barlow, Joi Ito, Jony Ive, Julian Assange, Khan Academy, Kim Stanley Robinson, Kiva Systems, Laura Poitras, liberal capitalism, lifelogging, linked data, lolcat, Mark Zuckerberg, market fundamentalism, Marshall McLuhan, Masdar, McMansion, means of production, megacity, megaproject, megastructure, Menlo Park, Minecraft, MITM: man-in-the-middle, Monroe Doctrine, Neal Stephenson, Network effects, new economy, Nick Bostrom, ocean acidification, off-the-grid, offshore financial centre, oil shale / tar sands, Oklahoma City bombing, OSI model, packet switching, PageRank, pattern recognition, peak oil, peer-to-peer, performance metric, personalized medicine, Peter Eisenman, Peter Thiel, phenotype, Philip Mirowski, Pierre-Simon Laplace, place-making, planetary scale, pneumatic tube, post-Fordism, precautionary principle, RAND corporation, recommendation engine, reserve currency, rewilding, RFID, Robert Bork, Sand Hill Road, scientific management, self-driving car, semantic web, sharing economy, Silicon Valley, Silicon Valley ideology, skeuomorphism, Slavoj Žižek, smart cities, smart grid, smart meter, Snow Crash, social graph, software studies, South China Sea, sovereign wealth fund, special economic zone, spectrum auction, Startup school, statistical arbitrage, Steve Jobs, Steven Levy, Stewart Brand, Stuxnet, Superbowl ad, supply-chain management, supply-chain management software, synthetic biology, TaskRabbit, technological determinism, TED Talk, the built environment, The Chicago School, the long tail, the scientific method, Torches of Freedom, transaction costs, Turing complete, Turing machine, Turing test, undersea cable, universal basic income, urban planning, Vernor Vinge, vertical integration, warehouse automation, warehouse robotics, Washington Consensus, web application, Westphalian system, WikiLeaks, working poor, Y Combinator, yottabyte

Where Turing's artificial intelligence test attempted to detect machine intelligence by testing its reflection in human cognition, projects like Bell's suggest capture of the totality of autobiographical experience by couching it within a personal universal Turing machine and so (as the research was for Microsoft) to prototype the sorts of data management, visualization, semantic sorting, editing, and indexing interfaces necessary for the yottabyte-fluent absolute User to come? Of course, in that future, part of what would be recorded are her sessions during which she plays back past experiences, which would then also be available for review later on, and so on, and so on, a mirror held up to a mirror, reflecting up into the darkness.19 The phenomenology of metadata would be overwhelming.