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10 ARGUMENTS FOR DELETING YOUR

10 ARGUMENTS FOR DELETING YOUR

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AS SEEN IN THE NETFLIX DOCUMENTARY THE SOCIAL DILEMMA
A WIRED ALL-TIME FAVORITE BOOK
A FINANCIAL TIMES BEST BOOK
THE CONSCIENCE OF SILICON VALLEY- GQ

"Profound . . . Lanier shows the tactical value of appealing to the conscience of the individual. In the face of his earnest argument, I felt a piercing shame about my own presence on Facebook. I heeded his plea and deleted my account."
- Franklin Foer, The New York Times Book Review

"Mixes prophetic wisdom with a simple practicality . . . Essential reading."
- The New York Times (Summer Reading Preview)

You might have trouble imagining life without your social media accounts, but virtual reality pioneer Jaron Lanier insists that we're better off without them. In Ten Arguments for Deleting Your Social Media Accounts Right Now, Lanier, who participates in no social media, offers powerful and personal reasons for all of us to leave these dangerous online platforms.

Lanier's reasons for freeing ourselves from social media's poisonous grip include its tendency to bring out the worst in us, to make politics terrifying, to trick us with illusions of popularity and success, to twist our relationship with the truth, to disconnect us from other people even as we are more "connected" than ever, to rob us of our free will with relentless targeted ads. How can we remain autonomous in a world where we are under continual surveillance and are constantly being prodded by algorithms run by some of the richest corporations in history that have no way of making money other than being paid to manipulate our behavior? How could the benefits of social media possibly outweigh the catastrophic losses to our personal dignity, happiness, and freedom? Lanier remains a tech optimist, so while demonstrating the evil that rules social media business models today, he also envisions a humanistic setting for social networking that can direct us toward a richer and fuller way of living and connecting with our world.

ART OF INVISIBILITY

ART OF INVISIBILITY

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Real-world advice on how to be invisible online from "the FBI's most wanted hacker" (Wired).

Be online without leaving a trace. Your every step online is being tracked and stored, and your identity literally stolen. Big companies and big governments want to know and exploit what you do, and privacy is a luxury few can afford or understand.

In this explosive yet practical book, Kevin Mitnick uses true-life stories to show exactly what is happening without your knowledge, teaching you "the art of invisibility" -- online and real-world tactics to protect you and your family, using easy step-by-step instructions.

Reading this book, you will learn everything from password protection and smart Wi-Fi usage to advanced techniques designed to maximize your anonymity. Kevin Mitnick knows exactly how vulnerabilities can be exploited and just what to do to prevent that from happening.

The world's most famous -- and formerly the US government's most wanted -- computer hacker, he has hacked into some of the country's most powerful and seemingly impenetrable agencies and companies, and at one point was on a three-year run from the FBI. Now Mitnick is reformed and widely regarded as the expert on the subject of computer security. Invisibility isn't just for superheroes; privacy is a power you deserve and need in the age of Big Brother and Big Data.

"Who better than Mitnick -- internationally wanted hacker turned Fortune 500 security consultant -- to teach you how to keep your data safe?" --Esquire

ARTIFICIAL UNINTELLIGENCE

ARTIFICIAL UNINTELLIGENCE

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A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right.

In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally--hiring, driving, paying bills, even choosing romantic partners--that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology--and issues a warning that we should never assume that computers always get things right.

Making a case against technochauvinism--the belief that technology is always the solution--Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding "the cyborg future is not coming any time soon"; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.

BLOCKCHAIN CHICKEN FARM: AND O

BLOCKCHAIN CHICKEN FARM: AND O

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A New York Times Book Review Editors' Choice

A brilliant and empathetic guide to the far corners of global capitalism. --Jenny Odell, author of How to Do Nothing

From FSGO x Logic: stories about rural China, food, and tech that reveal new truths about the globalized world

In Blockchain Chicken Farm, the technologist and writer Xiaowei Wang explores the political and social entanglements of technology in rural China. Their discoveries force them to challenge the standard idea that rural culture and people are backward, conservative, and intolerant. Instead, they find that rural China has not only adapted to rapid globalization but has actually innovated the technology we all use today.

From pork farmers using AI to produce the perfect pig, to disruptive luxury counterfeits and the political intersections of e-commerce villages, Wang unravels the ties between globalization, technology, agriculture, and commerce in unprecedented fashion. Accompanied by humorous "Sinofuturist" recipes that frame meals as they transform under new technology, Blockchain Chicken Farm is an original and probing look into innovation, connectivity, and collaboration in the digitized rural world.

FSG Originals × Logic dissects the way technology functions in everyday lives. The titans of Silicon Valley, for all their utopian imaginings, never really had our best interests at heart: recent threats to democracy, truth, privacy, and safety, as a result of tech's reckless pursuit of progress, have shown as much. We present an alternate story, one that delights in capturing technology in all its contradictions and innovation, across borders and socioeconomic divisions, from history through the future, beyond platitudes and PR hype, and past doom and gloom. Our collaboration features four brief but provocative forays into the tech industry's many worlds, and aspires to incite fresh conversations about technology focused on nuanced and accessible explorations of the emerging tools that reorganize and redefine life today.

COMPUTATIONAL THINKING

COMPUTATIONAL THINKING

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An introduction to computational thinking that traces a genealogy beginning centuries before the digital computer.

A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, "computational thinking" has become part of the K-12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview, tracing a genealogy that begins centuries before digital computers and portraying computational thinking as pioneers of computing have described it.

The authors explain that computational thinking (CT) is not a set of concepts for programming; it is a way of thinking that is honed through practice: the mental skills for designing computations to do jobs for us, and for explaining and interpreting the world as a complex of information processes. Mathematically trained experts (known as "computers") who performed complex calculations as teams engaged in CT long before electronic computers. The authors identify six dimensions of today's highly developed CT--methods, machines, computing education, software engineering, computational science, and design--and cover each in a chapter. Along the way, they debunk inflated claims for CT and computation while making clear the power of CT in all its complexity and multiplicity.

CULT OF THE DEAD COW: HOW THE

CULT OF THE DEAD COW: HOW THE

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The shocking untold story of the elite secret society of hackers fighting to protect our privacy, our freedom -- even democracy itself
Cult of the Dead Cow is the tale of the oldest, most respected, and most famous American hacking group of all time. Though until now it has remained mostly anonymous, its members invented the concept of hacktivism, released the top tool for testing password security, and created what was for years the best technique for controlling computers from afar, forcing giant companies to work harder to protect customers. They contributed to the development of Tor, the most important privacy tool on the net, and helped build cyberweapons that advanced US security without injuring anyone. With its origins in the earliest days of the Internet, the cDc is full of oddball characters -- activists, artists, even future politicians. Many of these hackers have become top executives and advisors walking the corridors of power in Washington and Silicon Valley. The most famous is former Texas Congressman and current presidential candidate Beto O'Rourke, whose time in the cDc set him up to found a tech business, launch an alternative publication in El Paso, and make long-shot bets on unconventional campaigns.
Today, the group and its followers are battling electoral misinformation, making personal data safer, and battling to keep technology a force for good instead of for surveillance and oppression. Cult of the Dead Cow shows how governments, corporations, and criminals came to hold immense power over individuals and how we can fight back against them.

DATA SCIENCE

DATA SCIENCE

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A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.

The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

DEEP LEARNING

DEEP LEARNING

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An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.

Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution.

Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning--major trends, possible developments, and significant challenges.

DONT MAKE ME THINK REVISITED

DONT MAKE ME THINK REVISITED

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Since Don't Make Me Think was first published in 2000, hundreds of thousands of Web designers and developers have relied on usability guru Steve Krug's guide to help them understand the principles of intuitive navigation and information design. Witty, commonsensical, and eminently practical, it's one of the best-loved and most recommended books on the subject.

Now Steve returns with fresh perspective to reexamine the principles that made Don't Make Me Think a classic-with updated examples and a new chapter on mobile usability. And it's still short, profusely illustrated...and best of all-fun to read.

If you've read it before, you'll rediscover what made Don't Make Me Think so essential to Web designers and developers around the world. If you've never read it, you'll see why so many people have said it should be required reading for anyone working on Web sites.


"After reading it over a couple of hours and putting its ideas to work for the past five years, I can say it has done more to improve my abilities as a Web designer than any other book."
-Jeffrey Zeldman, author of Designing with Web Standards

Futureproof: 9 Rules for Humans in the Age of Automation

Futureproof: 9 Rules for Humans in the Age of Automation

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"A concise, insightful and sophisticated guide to maintaining humane values in an age of new machines."--The New York Times Book Review

"While we need to rewrite the rules of the twenty-first-century economy, Kevin's book is a great look at how people can do this on a personal level to always put humanity first."--Andrew Yang

You are being automated.

After decades of hype and sci-fi fantasies, artificial intelligence is leaping out of research labs and into the center of our lives. Automation doesn't just threaten our jobs. It shapes our entire human experience, with AI and algorithms influencing the TV shows we watch, the music we listen to, the beliefs we hold, and the relationships we form.

And while the age-old debate over whether automation will destroy jobs rages on, an even more important question is being ignored:

How can we be happy, successful humans in a world that is increasingly built by and for machines?

In Futureproof: 9 Rules for Humans in the Age of Automation, New York Times technology columnist Kevin Roose lays out a hopeful, pragmatic vision for how humans can survive in the machine age. He shares the secrets of people and organizations that have thrived during periods of technological change, and explains how we can protect our own futures. He shares the secrets of people and organizations that have survived technological change, and explains how we can protect our own futures, with lessons like

- Be surprising, social, and scarce.
- Resist machine drift.
- Leave handprints.
- Demote your devices.
- Treat AI like a chimp army.

Roose rejects the conventional wisdom that in order to succeed in the age of intelligent machines, we have to become more like computers--hyper-efficient, data-driven workhorses. Instead, he says, we should focus on being more human, and doing the kinds of creative, inspiring, and meaningful things even the most advanced AI can't do.

Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World

Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World

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This colorful page-turner puts artificial intelligence into a human perspective. Through the lives of Geoff Hinton and other major players, Metz explains this transformative technology and makes the quest thrilling.
--Walter Isaacson,
author of The Code Breaker

Recipient of starred reviews in both Kirkus and Library Journal

THE UNTOLD TECH STORY OF OUR TIME

What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create?

With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.

Long dismissed as a technology of the distant future, artificial intelligence was a project consigned to the fringes of the scientific community. Then two researchers changed everything. One was a sixty-four-year-old computer science professor who didn't drive and didn't fly because he could no longer sit down--but still made his way across North America for the moment that would define a new age of technology. The other was a thirty-six-year-old neuroscientist and chess prodigy who laid claim to being the greatest game player of all time before vowing to build a machine that could do anything the human brain could do.

They took two very different paths to that lofty goal, and they disagreed on how quickly it would arrive. But both were soon drawn into the heart of the tech industry. Their ideas drove a new kind of arms race, spanning Google, Microsoft, Facebook, and OpenAI, a new lab founded by Silicon Valley kingpin Elon Musk. But some believed that China would beat them all to the finish line.

Genius Makers dramatically presents the fierce conflict between national interests, shareholder value, the pursuit of scientific knowledge, and the very human concerns about privacy, security, bias, and prejudice. Like a great Victorian novel, this world of eccentric, brilliant, often unimaginably yet suddenly wealthy characters draws you into the most profound moral questions we can ask. And like a great mystery, it presents the story and facts that lead to a core, vital question:

How far will we let it go?

GOOGLE ARCHIPELAGO

GOOGLE ARCHIPELAGO

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Google Archipelago: The Digital Gulag and the Simulation of Freedom begins with familiar cultural politics as points of entry to the book's theme regarding the reach, penetration, and soon the ubiquity of the digital world. In a book about enormous sea changes brought about by digital technology, Google Archipelago begins and ends with the political, in particular with the objectives of the Big Digi­tal conglomerates as global corporate monopoly capitalists or would-be-monopolies.

Google Archipelago argues that Big Digital technologies and their principals represent not only economic powerhouses but also new forms of governmental power. The technologies of Big Digital not only amplify, extend, and lend precision to the powers of the state, they may represent elements of a new corporate state power.

In contrast to academics who study digital media and bemoan such supposed horrors as digital exploitation, in Google Archipelago, Michael Rectenwald argues that the real danger posed by Big Digital is not digital capitalism as such, but leftist authoritarianism, a political outlook shared by academic leftists, who thus cannot recognize it in their object of study. Thus, while imagining that they are radical critics of Big Digital, academic digital media scholars (whom Rectenwald terms the digitalistas) actually serve as ideological smokescreens that obscure its real character.

Two chapters interrupt the book's genre as non-fiction prose. Part historical science fiction and part memoir, these chapters render the story of a Soviet Gu­lag survivor and defector, and the author's earlier digital self. Google Archipelago intentionally blurs the lines between argument and story, fact and artifact, the real and the imaginary. This is necessary, Rectenwald argues, because one cannot pretend to describe the Google Archipelago as if from without, as something apart from experience. In any case, soon one will no longer go on the Internet. The Internet and cyberspace will be everywhere, while humans and other agents will be digital artifacts within it.

The Google Archipelago represents the coextension of digitization and physical social space, the conversion of social space and its inhabitants into digital artifacts, and the potential to control populations to degrees unimagined by the likes of Stalin, Hitler, or Mao.

Human Compatible: Artificial Intelligence and the Problem of Control

Human Compatible: Artificial Intelligence and the Problem of Control

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A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines

In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable.

In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage.

If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial.

LIFE IN CODE

LIFE IN CODE

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The never-more-necessary return of one of our most vital and eloquent voices on technology and culture, the author of the seminal Close to the Machine

The last twenty years have brought us the rise of the internet, the development of artificial intelligence, the ubiquity of once unimaginably powerful computers, and the thorough transformation of our economy and society. Through it all, Ellen Ullman lived and worked inside that rising culture of technology, and in Life in Code she tells the continuing story of the changes it wrought with a unique, expert perspective.

When Ellen Ullman moved to San Francisco in the early 1970s and went on to become a computer programmer, she was joining a small, idealistic, and almost exclusively male cadre that aspired to genuinely change the world. In 1997 Ullman wrote Close to the Machine, the now classic and still definitive account of life as a coder at the birth of what would be a sweeping technological, cultural, and financial revolution.

Twenty years later, the story Ullman recounts is neither one of unbridled triumph nor a nostalgic denial of progress. It is necessarily the story of digital technology's loss of innocence as it entered the cultural mainstream, and it is a personal reckoning with all that has changed, and so much that hasn't. Life in Code is an essential text toward our understanding of the last twenty years--and the next twenty.

MACHINE LEARNING

MACHINE LEARNING

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A concise overview of machine learning--computer programs that learn from data--which underlies applications that include recommendation systems, face recognition, and driverless cars.

Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition--as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as "Big Data" has gotten bigger, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications.

Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of "data science," and discusses the ethical and legal implications for data privacy and security.

PRAC STATISTICS FOR DATA SCIEN

PRAC STATISTICS FOR DATA SCIEN

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Statistical methods are a key part of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.

Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.

With this book, you'll learn:

  • Why exploratory data analysis is a key preliminary step in data science
  • How random sampling can reduce bias and yield a higher quality dataset, even with big data
  • How the principles of experimental design yield definitive answers to questions
  • How to use regression to estimate outcomes and detect anomalies
  • Key classification techniques for predicting which categories a record belongs to
  • Statistical machine learning methods that learn from data
  • Unsupervised learning methods for extracting meaning from unlabeled data
  • SANDWORM: A NEW ERA OF CYBERWA

    SANDWORM: A NEW ERA OF CYBERWA

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    The true story of the most devastating cyberattack in history and the desperate hunt to identify and track the elite Russian agents behind it, from Wired senior writer Andy Greenberg.

    "Lays out in chilling detail how future wars will be waged in cyberspace and makes the case that we have done little, as of yet, to prevent it." --Washington Post



    In 2014, the world witnessed the start of a mysterious series of cyberattacks. Targeting American utility companies, NATO, and electric grids in Eastern Europe, the strikes grew ever more brazen. They culminated in the summer of 2017, when the malware known as NotPetya was unleashed, penetrating, disrupting, and paralyzing some of the world's largest businesses--from drug manufacturers to software developers to shipping companies. At the attack's epicenter in Ukraine, ATMs froze. The railway and postal systems shut down. Hospitals went dark. NotPetya spread around the world, inflicting an unprecedented ten billion dollars in damage--the largest, most destructive cyberattack the world had ever seen.

    The hackers behind these attacks are quickly gaining a reputation as the most dangerous team of cyberwarriors in history: a group known as Sandworm. Working in the service of Russia's military intelligence agency, they represent a persistent, highly skilled force, one whose talents are matched by their willingness to launch broad, unrestrained attacks on the most critical infrastructure of their adversaries. They target government and private sector, military and civilians alike.

    A chilling, globe-spanning detective story, Sandworm considers the danger this force poses to our national security and stability. As the Kremlin's role in foreign government manipulation comes into greater focus, Sandworm exposes the realities not just of Russia's global digital offensive, but of an era where warfare ceases to be waged on the battlefield. It reveals how the lines between digital and physical conflict, between wartime and peacetime, have begun to blur--with world-shaking implications.

    SOUL OF A NEW MACHINE

    SOUL OF A NEW MACHINE

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    Tracy Kidder's "riveting" (Washington Post) story of one company's efforts to bring a new microcomputer to market won both the Pulitzer Prize and the National Book Award and has become essential reading for understanding the history of the American tech industry. Computers have changed since 1981, when The Soul of a New Machine first examined the culture of the computer revolution. What has not changed is the feverish pace of the high-tech industry, the go-for-broke approach to business that has caused so many computer companies to win big (or go belly up), and the cult of pursuing mind-bending technological innovations.
    The Soul of a New Machine is an essential chapter in the history of the machine that revolutionized the world in the twentieth century. "Fascinating...A surprisingly gripping account of people at work." --Wall Street Journal
    SUPERINTELLIGENCE: PATHS, DANG

    SUPERINTELLIGENCE: PATHS, DANG

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    A New York Times bestseller

    Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life.

    The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control. As the fate of the gorillas now depends more on humans than on the species itself, so would the fate of humankind depend on the actions of the machine superintelligence.

    But we have one advantage: we get to make the first move. Will it be possible to construct a seed Artificial Intelligence, to engineer initial conditions so as to make an intelligence explosion survivable? How could one achieve a controlled detonation?

    This profoundly ambitious and original book breaks down a vast track of difficult intellectual terrain. After an utterly engrossing journey that takes us to the frontiers of thinking about the human condition and the future of intelligent life, we find in Nick Bostrom's work nothing less than a reconceptualization of the essential task of our time.

    TECHNICALLY WRONG: SEXIST APPS

    TECHNICALLY WRONG: SEXIST APPS

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    Buying groceries, tracking our health, finding a date: whatever we want to do, odds are that we can now do it online. But few of us realize just how many oversights, biases, and downright ethical nightmares are baked inside the tech products we use every day. It's time we change that.

    In Technically Wrong, Sara Wachter-Boettcher demystifies the tech industry, leaving those of us on the other side of the screen better prepared to make informed choices about the services we use--and to demand more from the companies behind them.

    A Wired Top Tech Book of the Year
    A Fast Company Best Business and Leadership Book of the Year