Whiplash: How to Survive Our Faster Future


Joichi Ito - 2016
    The world is more complex and volatile today than at any other time in our history. The tools of our modern existence are getting faster, cheaper, and smaller at an exponential rate, transforming every aspect of society, from business to culture and from the public sphere to our most private moments. The people who succeed will be the ones who learn to think differently. In Whiplash, Joi Ito and Jeff Howe distill that logic into nine organizing principles for navigating and surviving this tumultuous period: Emergence over AuthorityPull over PushCompasses over MapsRisk over SafetyDisobedience over CompliancePractice over TheoryDiversity over AbilityResilience over StrengthSystems over Objects Filled with incredible case studies and cutting-edge research and philosophies from the MIT Media Lab and beyond, Whiplash will help you adapt and succeed in this unpredictable world.

Our Posthuman Future: Consequences of the Biotechnology Revolution


Francis Fukuyama - 2002
    Fukuyama sketches a brief history of man's changing understanding of human nature: from Plato and Aristotle to the modernity's utopians and dictators who sought to remake mankind for ideological ends. Fukuyama argues that the ability to manipulate the DNA of all of one person's descendants will have profound, and potentially terrible, consequences for our political order, even if undertaken with the best of intentions. In Our Posthuman Future, one of our greatest social philosophers begins to describe the potential effects of genetic exploration on the foundation of liberal democracy: the belief that human beings are equal by nature.

Machine Learning


Ethem Alpaydin - 2016
    It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpayd�n offers a concise and accessible overview of the new AI. This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpayd�n, author of a popular textbook on machine learning, explains that as Big Data has gotten bigger, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.

Everything is Obvious: Once You Know the Answer


Duncan J. Watts - 2011
    As sociologist and network science pioneer Duncan Watts explains in this provocative book, the explanations that we give for the outcomes that we observe in life—explanation that seem obvious once we know the answer—are less useful than they seem.Drawing on the latest scientific research, along with a wealth of historical and contemporary examples, Watts shows how common sense reasoning and history conspire to mislead us into believing that we understand more about the world of human behavior than we do; and in turn, why attempts to predict, manage, or manipulate social and economic systems so often go awry.It seems obvious, for example, that people respond to incentives; yet policy makers and managers alike frequently fail to anticipate how people will respond to the incentives they create. Social trends often seem to have been driven by certain influential people; yet marketers have been unable to identify these “influencers” in advance. And although successful products or companies always seem in retrospect to have succeeded because of their unique qualities, predicting the qualities of the next hit product or hot company is notoriously difficult even for experienced professionals.Only by understanding how and when common sense fails, Watts argues, can we improve how we plan for the future, as well as understand the present—an argument that has important implications in politics, business, and marketing, as well as in science and everyday life.

The Lessons of History


Will Durant - 1968
    With the completion of their life's work they look back and ask what history has to say about the nature, the conduct and the prospects of man, seeking in the great lives, the great ideas, the great events of the past for the meaning of man's long journey through war, conquest and creation - and for the great themes that can help us to understand our own era.To the Durants, history is "not merely a warning reminder of man's follies and crimes, but also an encouraging remembrance of generative souls ... a spacious country of the mind wherein a thousand saints, statesman, inventors, scientists, poets, artists, musicians, lovers, and philosophers still live and speak, teach and carve and sing..."Designed to accompany the ten-volume set of "The Story of Civilization, The Lessons of History" is, in its own right, a profound and original work of history and philosophy.

The Model Thinker: What You Need to Know to Make Data Work for You


Scott E. Page - 2018
    But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

The Future of the Internet and How to Stop It


Jonathan L. Zittrain - 2008
    With the unwitting help of its users, the generative Internet is on a path to a lockdown, ending its cycle of innovation—and facilitating unsettling new kinds of control.IPods, iPhones, Xboxes, and TiVos represent the first wave of Internet-centered products that can’t be easily modified by anyone except their vendors or selected partners. These “tethered appliances” have already been used in remarkable but little-known ways: car GPS systems have been reconfigured at the demand of law enforcement to eavesdrop on the occupants at all times, and digital video recorders have been ordered to self-destruct thanks to a lawsuit against the manufacturer thousands of miles away. New Web 2.0 platforms like Google mash-ups and Facebook are rightly touted—but their applications can be similarly monitored and eliminated from a central source. As tethered appliances and applications eclipse the PC, the very nature of the Internet—its “generativity,” or innovative character—is at risk.The Internet’s current trajectory is one of lost opportunity. Its salvation, Zittrain argues, lies in the hands of its millions of users. Drawing on generative technologies like Wikipedia that have so far survived their own successes, this book shows how to develop new technologies and social structures that allow users to work creatively and collaboratively, participate in solutions, and become true “netizens.”The book is available to download under a Creative Commons Attribution Non-Commercial Share-Alike 3.0 license: Download PDF. http://futureoftheinternet.org/download

Hamlet's BlackBerry: A Practical Philosophy for Building a Good Life in the Digital Age


William Powers - 2010
    Part intellectual journey, part memoir, Hamlet's BlackBerry sets out to solve what William Powers calls the conundrum of connectedness. Our computers and mobile devices do wonderful things for us. But they also impose an enormous burden, making it harder for us to focus, do our best work, build strong relationships, and find the depth and fulfillment we crave.Hamlet's BlackBerry argues that we need a new way of thinking, an everyday philosophy for life with screens. To find it, Powers reaches into the past, uncovering a rich trove of ideas that have helped people manage and enjoy their connected lives for thousands of years. New technologies have always brought the mix of excitement and stress that we feel today. Drawing on some of history's most brilliant thinkers, from Plato to Shakespeare to Thoreau, he shows that digital connectedness serves us best when it's balanced by its opposite, disconnectedness.Using his own life as laboratory and object lesson, Powers demonstrates why this is the moment to revisit our relationship to screens and mobile technologies, and how profound the rewards of doing so can be. Lively, original, and entertaining, Hamlet's BlackBerry will challenge you to rethink your digital life.

In Our Own Image: Savior or Destroyer? The History and Future of Artificial Intelligence


George Zarkadakis - 2016
    He traces AI's origins in ancient myth, through literary classics like Frankenstein, to today's sci-fi blockbusters, arguing that a fascination with AI is hardwired into the human psyche. He explains AI's history, technology, and potential; its manifestations in intelligent machines; its connections to neurology and consciousness, as well as—perhaps most tellingly—what AI reveals about us as human beings.In Our Own Image argues that we are on the brink of a fourth industrial revolution—poised to enter the age of Artificial Intelligence as science fiction becomes science fact. Ultimately, Zarkadakis observes, the fate of AI has profound implications for the future of science and humanity itself.

The Art of Invisibility: The World's Most Famous Hacker Teaches You How to Be Safe in the Age of Big Brother and Big Data


Kevin D. Mitnick - 2017
    Consumer's identities are being stolen, and a person's every step is being tracked and stored. What once might have been dismissed as paranoia is now a hard truth, and privacy is a luxury few can afford or understand.In this explosive yet practical book, Kevin Mitnick illustrates what is happening without your knowledge--and he teaches you "the art of invisibility." Mitnick is the world's most famous--and formerly the 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 he was on a three-year run from the FBI. Now, though, Mitnick is reformed and is widely regarded as the expert on the subject of computer security. He knows exactly how vulnerabilities can be exploited and just what to do to prevent that from happening. In THE ART OF INVISIBILITY Mitnick provides both online and real life tactics and inexpensive methods to protect you and your family, in easy step-by-step instructions. He even talks about more advanced "elite" techniques, which, if used properly, can maximize your privacy. Invisibility isn't just for superheroes--privacy is a power you deserve and need in this modern age.

Bored and Brilliant: How Spacing Out Can Unlock Your Most Productive & Creative Self


Manoush Zomorodi - 2017
    Bored and Brilliant builds on that experiment to show us how to rethink our gadget use to live better and smarter in this new digital ecosystem. Manoush explains the connection between boredom and original thinking, exploring how we can harness boredom’s hidden benefits to become our most productive and creative selves without totally abandoning our gadgets in the process.Grounding the book in the neuroscience and cognitive psychology of “mind wandering”—what our brains do when we’re doing nothing at all—Manoush includes practical steps you can take to ease the nonstop busyness and enhance your ability to dream, wonder, and gain clarity in your work and life. The outcome is mind-blowing. Unplug and read on.

Reality is Broken: Why Games Make Us Better and How They Can Change the World


Jane McGonigal - 2010
    The average young person in the UK will spend 10,000 hours gaming by the age of twenty-one. What's causing this mass exodus? According to world-renowned game designer Jane McGonigal the answer is simple: videogames are fulfilling genuine human needs. Drawing on positive psychology, cognitive science and sociology, Reality is Broken shows how game designers have hit on core truths about what makes us happy, and utilized these discoveries to astonishing effect in virtual environments. But why, McGonigal asks, should we use the power of games for escapist entertainment alone? In this groundbreaking exploration of the power and future of gaming, she reveals how gamers have become expert problem solvers and collaborators, and shows how we can use the lessons of game design to socially positive ends, be it in our own lives, our communities or our businesses. Written for gamers and non-gamers alike, Reality is Broken sends a clear and provocative message: the future will belong to those who can understand, design and play games.

Lying


Sam Harris - 2011
    Most forms of private vice and public evil are kindled and sustained by lies. Acts of adultery and other personal betrayals, financial fraud, government corruption—even murder and genocide—generally require an additional moral defect: a willingness to lie.

Computer Power and Human Reason: From Judgment to Calculation


Joseph Weizenbaum - 1976
    A classic text by the author who developed ELIZA, a natural-language processing system.

Deep Learning


Ian Goodfellow - 2016
    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.