App That Explains Quotes

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Historians observe the world, and scientists try to explain it, but engineers transform it. Step by step, they’ve replaced village matchmakers with dating apps, town criers with social media, local doctors with diagnostic tools. The time has come for sages, mystics, and prophets to cede to an AI. In this way, history marches on.
Laila Lalami (The Dream Hotel)
There's no present left. This is the problem for a novelist. [The problem] is the present is gone. We're all living in the future constantly . . . Back in the day Leo Tolstoy -- what a sweetheart of a count and of a writer -- in the 1860's he wanted to write about the Napoleonic Campaign, about 1812. If you write about 1812 in 1860, a horse is still a horse. A carriage is still a carriage. Obviously, there are been some technological advancements, et cetera, but you don't have to worry about explaining the next killer [iPhone] app or the next Facebook because right now things are happening so quickly. ("Gary Shteyngart: Finding 'Love' In A Dismal Future", NPR interview, August 2, 2010)
Gary Shteyngart
For example, I do a little bit of data analysis, like I was saying. For tech companies mostly. They’ll give me a lot of data – say user experience data, like how long users spend on each section of a website – and I’ll spend a few hours making graphs and whatnot. Say it takes me – I don’t know, four hours to make these graphs, and I’ll pretend it took me ten hours, to get extra money. He glances over at her again, and adds: You might think that’s immoral, I don’t know. But anyway, never mind that for a second. The four hours that I actually spend making the graphs, and the ten hours that I get paid for: what is that? Like, any of that: what is it? At least when I worked as a delivery driver, I knew what I was doing. Someone wanted a Big Mac, and I brought it to them, and the amount I got paid was like, what it was worth to that person not to have to collect their own burger. The amount they will pay, not to leave the house, is the amount I will accept, yes to leave the house. Minus whatever the app is taking. If you get me. I get you. You’re making perfect sense. Oh good, he says. Because in the data analysis example, my question is, what is the money that’s being paid to me? It’s the money that the company will pay, to have their own information explained back to them in a graph. And how much money should that be? Clearly no one knows, because at the end I’ll make up a number of hours and they’ll just pay me for that number. I guess the graph is supposed to make the company more profitable, in theory, but no one knows by how much, it’s all made up.
Sally Rooney (Intermezzo)
What Biden realises that Trump didn’t – and what this book tries to explain – is that TikTok fits into a wider story of tech supremacy between the United States and China. Whoever wins this battle wins the future.
Chris Stokel-Walker (TikTok Boom: The Inside Story of the World's Favourite App)
Most of the successful innovators and entrepreneurs in this book had one thing in common: they were product people. They cared about, and deeply understood, the engineering and design. They were not primarily marketers or salesmen or financial types; when such folks took over companies, it was often to the detriment of sustained innovation. “When the sales guys run the company, the product guys don’t matter so much, and a lot of them just turn off,” Jobs said. Larry Page felt the same: “The best leaders are those with the deepest understanding of the engineering and product design.”34 Another lesson of the digital age is as old as Aristotle: “Man is a social animal.” What else could explain CB and ham radios or their successors, such as WhatsApp and Twitter? Almost every digital tool, whether designed for it or not, was commandeered by humans for a social purpose: to create communities, facilitate communication, collaborate on projects, and enable social networking. Even the personal computer, which was originally embraced as a tool for individual creativity, inevitably led to the rise of modems, online services, and eventually Facebook, Flickr, and Foursquare. Machines, by contrast, are not social animals. They don’t join Facebook of their own volition nor seek companionship for its own sake. When Alan Turing asserted that machines would someday behave like humans, his critics countered that they would never be able to show affection or crave intimacy. To indulge Turing, perhaps we could program a machine to feign affection and pretend to seek intimacy, just as humans sometimes do. But Turing, more than almost anyone, would probably know the difference. According to the second part of Aristotle’s quote, the nonsocial nature of computers suggests that they are “either a beast or a god.” Actually, they are neither. Despite all of the proclamations of artificial intelligence engineers and Internet sociologists, digital tools have no personalities, intentions, or desires. They are what we make of them.
Walter Isaacson (The Innovators: How a Group of Hackers, Geniuses, and Geeks Created the Digital Revolution)
When Eve explained this aspect to Imogen, she had to stop herself from asking what exactly had happened to the floppy disk. She couldn’t remember the last time she had seen one and yet she didn’t understand exactly what had replaced it or when. The floppy disk was something she could wrap her head around. It was a tangible thing you could touch and smell, just like the pages of a magazine. The Internet and the tiny computers they worked on these days made less sense to her. You couldn’t touch the new Glossy.com—the app or digital
Lucy Sykes (The Knockoff)
She must turn her gaze to the future instead, start thinking like a scientist, or better yet like a software engineer. Historians observe the world, and scientists try to explain it, but engineers transform it. Step by step, they’ve replaced village matchmakers with dating apps, town criers with social media, local doctors with diagnostic tools. The time has come for sages, mystics, and prophets to cede to an AI.
Laila Lalami (The Dream Hotel)
So, he's probably not a serial killer who uses the app to lure his victims." I reared back. Was that what she'd thought? Fuck. That was the absolute last thing I wanted. How did I fix this? I was half tempted to send her a DM explaining myself, but how would that work? "Hey Aly, it's me, the man who broke into your house. I was just watching through the camera I hid in your room, and I wanted to let you know that you are correct. I am not, in fact, a serial killer." Jesus Christ.
Navessa Allen (Lights Out (Into Darkness, #1))
But I was admittedly frustrated after Iowa. The conspiracies multiplied. Someone noticed that our campaign had purchased software from the same software company that made the flawed app in Iowa—enough to send the Twittersphere into a tailspin. A staff member on my campaign was married to someone who ran a company that invested in the company that made the app—clear evidence! No one really took the trouble to explain what all these tidbits were supposed to amount to, but then, conspiracy thinking is not obliged to answer questions; it merely asks them, insinuating.
Pete Buttigieg (Trust: America's Best Chance)
Schopenhauer’s framing kicked the problem of consciousness onto a much larger playing field. The mind, with all of its rational processes, is all very well but the “will,” the thing that gives us our “oomph,” is the key: “The will … again fills the consciousness through wishes, emotions, passions, and cares.”14 Today, the subconscious rumblings of the “will” are still unplumbed; only a few inroads have been made. As I write these words, enthusiasts for the artificial intelligence (AI) agenda, the goal of programming machines to think like humans, have completely avoided and ignored this aspect of mental life. That is why Yale’s David Gelernter, one of the leading computer scientists in the world, says the AI agenda will always fall short, explaining, “As it now exists, the field of AI doesn’t have anything that speaks to emotions and the physical body, so they just refuse to talk about it.” He asserts that the human mind includes feelings, along with data and thoughts, and each particular mind is a product of a particular person’s experiences, emotions, and memories hashed and rehashed over a lifetime: “The mind is in a particular body, and consciousness is the work of the whole body.” Putting it in computer lingo, he declares, “I can run an app on any device, but can I run someone else’s mind on your brain? Obviously not.”15
Michael S. Gazzaniga (The Consciousness Instinct: Unraveling the Mystery of How the Brain Makes the Mind)
Noah Kagan, a growth hacker at Facebook, the personal finance service Mint.com (which sold to Intuit for nearly $170 million), and the daily deal site AppSumo (which has more than eight hundred thousand users), explains it simply: “Marketing has always been about the same thing—who your customers are and where they are.”5 What growth hackers do is focus on the “who” and “where” more scientifically, in a more measurable way. Whereas marketing was once brand-based, with growth hacking it becomes metric and ROI driven. Suddenly, finding customers and getting attention for your product are no longer guessing games. But this is more than just marketing with better metrics; this is not just “direct marketing” with a new name. Growth hackers trace their roots back to programmers—and that’s how they see themselves. They are data scientists meets design fiends meets marketers. They welcome this information, process it and utilize it differently, and see it as desperately needed clarity in a world that has been dominated by gut instincts and artistic preference for too long. But they also add a strong acumen for strategy, for thinking big picture, and for leveraging platforms, unappreciated assets, and new ideas.
Ryan Holiday (Growth Hacker Marketing: A Primer on the Future of PR, Marketing, and Advertising)
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Madison White
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To explain how a dApp works, we’ll use an example from the company Etherisc, which created a dApp for flight insurance to a well-known Ethereum conference. This flight insurance was purchased by 31 of the attendees.23 Figure 5.1 shows a simplified diagram. Using Ethereum, developers can mimic insurance pools with strings of conditional transactions. Open sourcing this process and running it on top of Ethereum’s world computer allows everyday investors to put their capital in an insurance pool to earn returns from the purchasers of insurance premiums that are looking for coverage from certain events. Everyone trusts the system because it runs in the open and is automated by code.
Chris Burniske (Cryptoassets: The Innovative Investor's Guide to Bitcoin and Beyond)
It’s a trusted app that offers a good platform for trans dating. It has hookups for all categories according to what you want or desire. I strongly recommend it for trans women and men who want to get people whom they wish to have in life. If you are looking for a romantic and serious relationship that will put a smile on your face, then this is the way to go. While on these media accounts, whether on iOS or Android version, you feel free to be yourself and narrate your history but there explaining what you feel comfortable with on the platform. You will be in a position to know each other on the site and build strong relationships there.
Erikajones
Given the hostility and intensity of these supply operations, it is not too surprising that Disconnect software was banned from Google Play’s vast catalog of mobile apps, leading to Disconnect’s lawsuit against Google in 2015. The startup’s complaint explains that “advertising companies including Google use these invisible connections to ‘track’ the user as he/she browses the web or opens other mobile applications, in order to collect personal information about the user, create a ‘profile’ of the user, and make money targeting advertising to the user.
Shoshana Zuboff (The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power)
I joined Amazon in 2004 in the early days of Amazon Web Services (AWS). Once I joined, my boss explained the mission. Amazon was going to build enormous data centers and rent compute-power and storage capacity not as applications, but as building blocks that developers and other companies can use to build their apps. This would enable any developer and every company to leverage Amazon’s mastery of web-scale infrastructure. The service would be flexible, able to scale up and down on the fly. If your traffic surged for a few days, the “Elastic Compute Cloud” would simply throw extra computer horsepower at your website. When the surge ended, your virtual data center would shrink back down. You paid only for what you used. You paid a monthly bill, just like you do for your mobile phone and your electricity. The pay-for-what-you-use model was a huge breakthrough—maybe as significant as the technology itself.
Jeff Lawson (Ask Your Developer: How to Harness the Power of Software Developers and Win in the 21st Century – A Management Playbook for Tech Industry Leadership and Digital Transformation)
Tinder would work with Justin’s younger brother to throw a birthday party for one of his popular, hyperconnected friends on campus, and use it to promote Tinder. The Tinder team would do all the work to make it an incredible party. The day of the party, students from USC were getting bused to a luxurious house in LA, where everything had been set up to pull you inside. Sean described how it worked: There was one catch with the party: First, you had to download the Tinder app to get in. We put a bouncer in the house to check that you had done it. The party was great—it was a success, and more importantly, the next day, everyone at the party woke up and remembered they had a new app on their phone. There were attractive people they hadn’t gotten to talk to, and this was their second chance. The college party launch tactic worked. For the Tinder team, this one party created the highest ever one-day spike of downloads, however modest it might seem in retrospect. It’s not just the number that matters here, but that it was “500 of the right people”—Sean would explain to me later. It was a group of the most social, most hyperconnected people on the USC campus, all on Tinder at the same time. Tinder started to work. Matches began to happen, as the students who met each other from the previous night started to swipe through and then chat. Amazingly, 95 percent of this initial cohort started to use this app every day for three hours a day.
Andrew Chen (The Cold Start Problem: How to Start and Scale Network Effects)
Tinder would work with Justin’s younger brother to throw a birthday party for one of his popular, hyperconnected friends on campus, and use it to promote Tinder. The Tinder team would do all the work to make it an incredible party. The day of the party, students from USC were getting bused to a luxurious house in LA, where everything had been set up to pull you inside. Sean described how it worked: There was one catch with the party: First, you had to download the Tinder app to get in. We put a bouncer in the house to check that you had done it. The party was great—it was a success, and more importantly, the next day, everyone at the party woke up and remembered they had a new app on their phone. There were attractive people they hadn’t gotten to talk to, and this was their second chance. The college party launch tactic worked. For the Tinder team, this one party created the highest ever one-day spike of downloads, however modest it might seem in retrospect. It’s not just the number that matters here, but that it was “500 of the right people”—Sean would explain to me later. It was a group of the most social, most hyperconnected people on the USC campus, all on Tinder at the same time. Tinder started to work. Matches began to happen, as the students who met each other from the previous night started to swipe through and then chat. Amazingly, 95 percent of this initial cohort started to use this app every day for three hours a day. The Tinder team built one atomic network, but soon figured out how to build the next one—just throw another party. And then another, by going to other schools, and throwing even more parties. Each network was successively easier to start. Tinder quickly reached 4,000 downloads, then 15,000 within a month, and then 500,000 just a month after that—first by replicating the campus launch, but then letting the organic viral growth take over.
Andrew Chen (The Cold Start Problem: How to Start and Scale Network Effects)
A well-organized revolt by the major members of its hard side can kill a product entirely. Twitter once bought an app called Vine for a reported $30 million. It let users create and view six-second looping video clips—it was ahead of its time, and not dissimilar from the insights behind TikTok. Like many social apps, the most popular content creators became very successful, and they were important to attract an audience. Unfortunately, a few years in, more than a dozen of the top content creators organized a revolt: Led by creators Marcus Johns and Piques, the group pitched an idea: If Vine paid each star $1.2 million and changed certain features of the app, each creator would post 12 Vines per month. Otherwise, all 18 would leave the platform. “We were driving billions of views—billions—before we left,” DeStorm Power explained of the monetary request.69 Vine turned down the plan, and a few years later, the service was shuttered. The hard side is worth the effort to cultivate. The most successful and prolific members of this side of the network also provide the highest level of service, are willing to make the investments to scale their impact, and ultimately become the defensible backbone of the network—assuming they can be retained. In Uber’s case, the power drivers represented the top 15 percent of drivers but constituted over 40 percent of our trips. They were also among the safest and most highly rated drivers—after all, it was their primary source of income.
Andrew Chen (The Cold Start Problem: How to Start and Scale Network Effects)
When someone walks by with a plate of fried fish, I gag. “Gross.” I cover my mouth and nose for a minute. “Kinda felt nauseated there for a sec,” I explain to Roxy when she asks what’s wrong. She folds her lips, like she has to physically restrain herself from speaking. “What?” I don’t want her to hold back with me. “Could you be pregnant?” she whispers. I laugh because no. Except… Everything around me slows down and goes a little sideways as a dizzy spell hits me. I suppose that’s what I get for checking out of the hospital against doctor’s orders. I can’t be pregnant. I don’t think. “Oh my God. What if I am?” “When did you get your last period?” she asks as I break out the calendar app on my phone.
Lex Martin (Second Down Darling (Varsity Dads #4))
I took a black and white photograph, which I also posted on Instagram. Her New Balance shoes and her feet crossed, hanging as she sat atop the pile of aluminum chairs, against the backdrop of the many legs of the chairs shining in the street lights in contrast to her dark shoes and leggings, were so captivating. There was a lightness in the way she sat there with her crossed legs dangling, as if she was perched on a cloud and it was the most natural thing as she was my angel. I was still unsure if she really existed or if I had only made her up with Pinto cat one night. It was all like a lucid dream. I was so glad for us and for us becoming rich soon too. I was so glad I could provide her with a future in Europe. I was so glad we would be rich and happy and we would be able to make all our dreams come true and travel the world freely together. I can show her Italy and Hungary and Europe. We can pick where do we want to live or make family. I knew all my life, all my work had led to this girl, this moment, and this future. Ours. She started to rap in Spanish in the Rioplatense dialect as I started to record her. „Loco, loco…” - she was so cute, it sounded like she had learned it on the streets of Buenos Aires, skipping school. She was amazing - so young, so true, so natural and pure and cute. I couldn't get enough of her. I wanted to make kids with her. With only her. Nobody else. By the wall of the church and the bar tables, there were a bunch of metal mobile railings with the Ajuntamiento de Barcelona logo in the middle of each of them. I told Martina to squat down to the level of the Ajuntamiento sign, and before I could finish my sentence, she was already doing it. She posed with the mobile railings, making a funny, cool and happy face while squeezing the Ajuntamiento logo between two of her fingers and pointing at it with her other hand, as if we were mocking the authorities of the Ajuntamiento. She was reading my mind. Like she knew magic. She was such a good girl. She was so pretty, smart and sexy. She was smiling, biting her lower lip, excited, turned on, and in love, I thought, looking like a bunny, or like Whitney Houston on the Brazilian live concert video, so I began to call her “Bunny”. I showed her how Whitney was smiling the same way. I was so blind to see the connection. (“The Cocaine Queen”) I was so much in love with her, so under her spell, I just really wanted her to be the One, I guess. I explained to her that the Camorra was one of my costumers and they had a club close by too and they were taking away other people's coffeeshops, menacing their lives and their families'. I explained to her that we were going to do all demolition and remodeling without any permit, without telling a word to anyone. I told her that we would lie to the residents of the building above us about what we were going to do there for months and months. I told her that she must keep it as our secret. She was nodding happily and she seemed happy that I trusted her. I explained everything to her, I told her about Rachel and Tom and I signing the founding document at Amina's office at the beginning of the same year, 2013. She seemed to understand the weight of all I told her and the reasons why I told her about it all, so she would know, so she wouldn't make a mistake saying the wrong thing in the wrong place at the wrong time. I asked her to pay attention to her surroundings in Barcelona from then on, as there were a lot of criminals, and she was a very pretty girl - not only my girlfriend. She seemed to take it as a privilege to be my girlfriend, and she seemed eternally happy, as was I. I told her that she was the only person I fully trusted. I wanted to send the video of Martina rapping on WhatsApp to Adam, but Martina told me I shouldn't because it was late and, at the end, Adam was my boss. “Yeah but he is not really my boss, in Spain, I am the boss.
Tomas Adam Nyapi
Cut or copy the selected text: On the popup menu, tap Cut to copy and remove the text, or tap Copy to simply copy the text. The copied text will go into the Clipboard. Paste and insert text: Tap the position in the text where you want to paste the contents of the Clipboard. A marker will appear below the text field, and you can drag this marker to adjust the position of the blinking cursor if necessary. Next, tap the marker and then tap Paste on the menu that appears. The text from the Clipboard will be inserted at the position of the cursor. Paste and replace text: First select the block of text you want to replace, as explained above. Then, tap Paste on the popup menu. The contents of the Clipboard will replace the selected text. Delete a block of text: Select the text you want to delete, as explained above. Then press the Backspace key (). Note that the Clipboard works across all built-in Kindle Fire software as well as installed apps. So for example, if you copied a web address (a URL) from a web page, you could later paste it into the Search/Address field in the browser, eliminating the need to manually type the web address, a slow and error-prone process. (The browser
Michael J. Young (Kindle Fire: The Complete Guidebook - For the Kindle Fire HDX and HD)
One of the masters of trendspotting is Rohit Bhargava, author of Non-Obvious. He curates the biggest trends each year and packages them up into a book. Then he explains how people and businesses can take advantage of these trends to improve their position in the marketplace. Thinking deliberately about trends is a secret sauce for most successful hustlers, because it creates an unfair advantage. When Evan Spiegel built Snapchat, he was capitalizing on a trend. He saw people using Facebook and their phones to share photos, but noticed they felt inhibited by the fact that the images were either permanent, or public. By reversing those two elements―making image-sharing ephemeral and private, he solved a big problem. Snapchat exploded across the younger demographics and quickly became a multibillion-dollar business. Another example is Kik, a popular messaging app. When Kik launched, plenty of messaging services already existed. In fact, the ultimate messaging services seemed to be the ones already  built into everyone's phones. Apple had a messaging app, and so did Android. So, why reinvent the wheel? Ted Livingston, the founder of Kik, had other ideas. Why? Because he had identified a trend. Consumers were clearly upset with the built-in messaging services. First, the telecom companies were charging per message sent and received, which was a horrible experience. It felt like classic, capitalistic highway robbery. Second―and this was a big problem for teens: You could only exchange messages by giving out your phone number. Livingston noticed that teens wanted to chat with other people they met online, but had no safe way of doing that without giving out their number. So he created Kik, which allows people to create a username instead. Kiksters can then share their username to start chatting, while keeping their digits private. But even better, messaging is unlimited, and completely free. By examining the trends happening in the messaging market, Livingston was able to build a product that rivaled the multi-billion dollar incumbents. Now his company is valued at over a billion.   
Jesse Tevelow (Hustle: The Life Changing Effects of Constant Motion)
Children born today will never have a bank account. They will have a bank _app_—not a bank app that gives them access to their bank account, but a bank app that makes them a banker, an international banker in an app. ​They will not be permitted to open a traditional bank account until they are 16 years old; by that time, I hope they will have at least six or more years of experience with digital currencies. I would like to watch them walk into a bank branch to have someone explain to them what “three to five business days" means.
Andreas M. Antonopoulos (The Internet of Money Volume Two)
While some blame our collective tech addiction on personal failings, like weak willpower, Harris points a finger at the software itself. That itch to glance at our phone is a natural reaction to apps and websites engineered to get us scrolling as frequently as possible. The attention economy, which showers profits on companies that seize our focus, has kicked off what Harris calls a “race to the bottom of the brain stem.” “You could say that it’s my responsibility” to exert self-control when it comes to digital usage, he explains, “but that’s not acknowledging that there’s a thousand people on the other side of the screen whose job is to break down whatever responsibility I can maintain.” In short, we’ve lost control of our relationship with technology because technology has become better at controlling us.
Bianca Bosker
don’t think this is realistic,” he said. “The CEO would be an older white man.” My colleague and I agreed that might often be the case, but explained that we wanted to focus more on Linda’s needs and motivations than on how she looked. “Sorry, it’s just not believable,” he insisted. “We need to change it.” I squirmed in my Aeron chair. My colleague looked out the window. We’d lost that one, and we knew it. Back at the office, “Linda” became “Michael”—a suit-clad, salt-and-pepper-haired guy. But we kept Linda’s photo in the mix, swapping it to another profile so that our personas wouldn’t end up lily-white. A couple weeks later, we were back in that same conference room, where our client had asked us to share the revised personas with another member of his executive team. We were halfway through our spiel when executive number two cut us off. “So, you have a divorced black woman in a low-level job,” he said. “I have a problem with that.” Reader, I died. Looking back, both of these clients were right: most of the CEOs who were members of their organization were white men, and representing their members this way wasn’t a good plan for their future. But what they missed—because, I recognize now, our personas encouraged them to miss it—was that demographics weren’t the point. Differing motivations and challenges were the real drivers behind what these people wanted and how they interacted with the organization. We thought adding photos, genders, ages, and hometowns would give our personas a more realistic feel. And they did—just not the way we intended. Rather than helping folks connect with these people, the personas encouraged the team to assume that demographic information drove motivations—that
Sara Wachter-Boettcher (Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech)
Finally, it was Evan’s turn. Showtime. He approached the front of the room like the entrance to a party, strutting confidently to show the crowd what he, Reggie, and Bobby had been working on tirelessly for the past six weeks. Confident and comfortable, Evan enthusiastically explained to the other thirty students, two professors, and half a dozen venture capitalists that not every photograph is meant to last forever. He passionately argued that people would have fun messaging via pictures. The response? Less than enthusiastic. Why would anyone use this app? “This is the dumbest thing ever,” seemed to be the sentiment underlying everyone’s tones. One of the venture capitalists suggested that Evan make the photos permanent and work with Best Buy for photos of inventory. The course’s teaching assistant, horrified, pulled Evan aside and asked him if he’d built a sexting app. The scene was reminiscent of another Stanford student’s class presentation half a century earlier. In 1962, a student in Stanford’s Graduate School of Business named Phil Knight presented a final paper to his class titled “Can Japanese Sports Shoes Do to German Sports Shoes What Japanese Cameras Did to German Cameras?” Knight’s classmates were so bored by the thesis that they didn’t even ask him a single question. That paper was the driving idea behind a company Knight founded called Nike. The VCs sitting in Evan’s classroom that day likely passed up at least a billion-dollar investment return. But it’s very easy to look at brilliant ideas with the benefit of hindsight and see that they were destined to succeed. Think about it from their perspective—Picaboo’s pitch was basically, “Send self-destructing photos to your significant other.” Impermanence had a creepy vibe to it, belonging only to government spies and perverts. With the benefit of hindsight, we can see that Facebook developed the conditions that allowed Snapchat to flourish. But it wasn’t at all obvious watching Evan’s pitch in 2011 that this was a natural rebellion against Facebook or that it would grow beyond our small Stanford social circle.
Billy Gallagher (How to Turn Down a Billion Dollars: The Snapchat Story)
isolation of Uíge—might go some way to explain why the Angola Marburg outbreak failed to achieve what Ebola now has, the jump
Peter Apps (Before Ebola: Dispatches from a Deadly Outbreak (Kindle Single))
Brain Train Victor Luckerson | 559 words It's common these days to hear of a new mobile game that racks up impressive downloads and sales almost overnight--and then disappears just as fast. A growing raft of gamelike apps hope to stay in your pocket for the long term. How? By offering users the ability to learn a new language, practice web coding or improve their memory. As smartphones become a constant part of the human experience, more and more people are wondering what their phones have done for them lately. So-called brain-training apps propose we spend our downtime bulking up our minds. "There's a long-term secular trend and consumer interest in health," explains Kunal Sarkar, the CEO of brain-training company Lumosity. "Taking care of your mind is another part of that.
Anonymous
Among the many private initiatives in this field, the latest, launched in the summer of 2012, is aimed at middle-school female students in New York. Girls who Code is a seminar, hosted by a startup (AppNexus in 2012), where 13-17 year-old girls learn how to write software programs, design websites, and build applications. Mainly, they learn that these subjects are fun and accessible to them, and not only to male computer geeks. “Girls who Code is not just a program, it's a movement to close the sexist gap in the technological sector,” explained the program’s two organizers, Reshma Saujani and Kristen Titus, to attendees of a big gala that took place on the evening of Oct. 22, 2012 on the floor of the New York Stock Exchange. The occasion was to celebrate the success of the first edition of Girls Who Code and collect additional funds in support of the initiative. The first 20 “graduates” of the course spoke of their experience and their dreams for the future, while sitting at the gigantic table in the NYSE’s Board Room. Tomorrow, one of them could return as the CEO of a high-tech business, and perhaps ring the bell on the trading floor to inaugurate her company’s Initial Public Offering.
Maria Teresa Cometto (Tech and the City: The Making of New York's Startup Community)
How do companies, producing little more than bits of code displayed on a screen, seemingly control users’ minds?” Nir Eyal, a prominent Valley product consultant, asked in his 2014 book, Hooked: How to Build Habit-Forming Products. “Our actions have been engineered,” he explained. Services like Twitter and YouTube “habitually alter our everyday behavior, just as their designers intended.” One of Eyal’s favorite models is the slot machine. It is designed to answer your every action with visual, auditory, and tactile feedback. A ping when you insert a coin. A ka-chunk when you pull the lever. A flash of colored light when you release it. This is known as Pavlovian conditioning, named after the Russian physiologist Ivan Pavlov, who rang a bell each time he fed his dog, until, eventually, the bell alone sent his dog’s stomach churning and saliva glands pulsing, as if it could no longer differentiate the chiming of a bell from the physical sensation of eating. Slot machines work the same way, training your mind to conflate the thrill of winning with its mechanical clangs and buzzes. The act of pulling the lever, once meaningless, becomes pleasurable in itself. The reason is a neurological chemical called dopamine, the same one Parker had referenced at the media conference. Your brain releases small amounts of it when you fulfill some basic need, whether biological (hunger, sex) or social (affection, validation). Dopamine creates a positive association with whatever behaviors prompted its release, training you to repeat them. But when that dopamine reward system gets hijacked, it can compel you to repeat self-destructive behaviors. To place one more bet, binge on alcohol—or spend hours on apps even when they make you unhappy. Dopamine is social media’s accomplice inside your brain. It’s why your smartphone looks and feels like a slot machine, pulsing with colorful notification badges, whoosh sounds, and gentle vibrations. Those stimuli are neurologically meaningless on their own. But your phone pairs them with activities, like texting a friend or looking at photos, that are naturally rewarding. Social apps hijack a compulsion—a need to connect—that can be even more powerful than hunger or greed. Eyal describes a hypothetical woman, Barbra, who logs on to Facebook to see a photo uploaded by a family member. As she clicks through more photos or comments in response, her brain conflates feeling connected to people she loves with the bleeps and flashes of Facebook’s interface. “Over time,” Eyal writes, “Barbra begins to associate Facebook with her need for social connection.” She learns to serve that need with a behavior—using Facebook—that in fact will rarely fulfill it.
Max Fisher (The Chaos Machine: The Inside Story of How Social Media Rewired Our Minds and Our World)
Self-tracking and self-experimentation—the core of neurohacking—are easier to do now than they have been at any other time in history. We have smartphones with apps that can log your data automatically. We have free spreadsheet tools to document our experiments. You can order many tests and interventions from the comfort of your own home. Even if you prefer pencil and paper for tracking, you can still find online communities in which to get tips and troubleshoot. Doctors are more open to self-tracking than they were a decade ago, when I first began the research for this book. That means that you can (and should!) share your findings with your doctor as you track yourself and run your self-experiments. You can provide data that can help them personalize their care for you. CASE STUDY #3: CLEARING BRAIN FOG In the late summer of 2014, Mark Drangsholt, a clinician-scientist and triathlete, gave a talk at a Quantified Self conference.8 He explained that he had complained to his doctor that he was suffering from brain fog—periods when he couldn’t remember words, forgot key information, and couldn’t concentrate. Because brain fog can have many causes and because Drangsholt seemed generally healthy, the doctor was unsure how to help. Drangsholt decided to take matters into
Elizabeth R. Ricker (Smarter Tomorrow: How 15 Minutes of Neurohacking a Day Can Help You Work Better, Think Faster, and Get More Done)
One of the keys to Tobi’s success: He turned Shopify into a platform that not only allowed merchants to easily set up online stores but also enabled app developers to build specialty stores for merchants. By opening up Shopify in this way, Tobi made a conscious decision to let developers make money off his platform, rather than trying to keep it closed so he could capture all of that app revenue himself. “What we did to get the platform off the ground is to basically leave all the economics for Shopify on the table and give it to the third-party app developers,” Tobi says. This helped him to rapidly attract more and more users to Shopify. And in retrospect, these decisions paved the way for their widespread success. But they were tough calls at the time. “It’s hard to do, because you are leaving a lot of economics that you could easily take for yourself on the table—or actually, you are investing it into your own future by giving it to other people,” Tobi explains. “And that’s very hard to do for most businesses.” The combination of a strong platform, a well-populated app store, and a community of developers helped protect Shopify against competition and built a positive feedback loop that ratcheted up innovation, attracting more users and more developers.
Reid Hoffman (Masters of Scale: Surprising Truths from the World's Most Successful Entrepreneurs)
There’s no official checklist, but here’s what we suggest: Take email off your phone. Take all social media off your phone, transfer it to a desktop, and schedule set times to check it each day or, ideally, each week. Disable your web browser. I’m a bit lenient on this one since I hate surfing the web on my phone and use this only when people send me links. But this is typically a key facet of a dumbphone. Delete all notifications, including those for texts. I set my phone so I have to (1) unlock it and (2) click on the text message box to (3) even see if I have any text messages. This was a game changer. Ditch news apps or at least news alerts. They are the devil. Delete every single app you don’t need or that doesn’t make your life seriously easier. And keep all the wonder apps that do make life so much easier—maps, calculator, Alaska Airlines, etc. What Knapp put in one box and labeled “The Future.” Consolidate said apps into a few simple boxes so your home screen is free and clear. Finally, set your phone to grayscale mode. This does something neurobiologically that I’m not smart enough to explain, something to do with decreasing dopamine addiction. Google
John Mark Comer (The Ruthless Elimination of Hurry: How to Stay Emotionally Healthy and Spiritually Alive in the Chaos of the Modern World)
How do we consume as much of your time and conscious attention as possible?” That’s Sean Parker, the first president of Facebook, in a 2017 interview.[1] He was describing the thought process of the people who created Facebook and the other major social media platforms in the 2000s. In chapter 2, I quoted another line from this interview, in which Parker explained the “social-validation feedback loop” by which these companies exploit “a vulnerability in human psychology.” The apps need to “give you a little dopamine hit every once in a while, because someone liked or commented on a photo or a post or whatever. And that’s going to get you to contribute more content, and that’s going to get you . . . more likes and comments.” He said that he, Mark Zuckerberg, Kevin Systrom (cofounder of Instagram), and others “understood this consciously. And we did it anyway.” He also said, “God only knows what it’s doing to our children’s brains.
Jonathan Haidt (The Anxious Generation: How the Great Rewiring of Childhood Is Causing an Epidemic of Mental Illness)
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