"Mind-opening, thought-provoking and incredibly timely… An absolutely spectacular read."—Cory Doctorow, BoingBoing A million listeners trust NPR's Brooke Gladstone to guide them through the complexities of the modern media. Bursting onto the page in vivid comics by acclaimed artist Josh Neufeld, this brilliant radio personality guides us through two millennia of media history, debunking the notion that "The Media" is an external force beyond our control and equipping us to be savvy consumers and shapers of the news.

London in the 1790s, Europe is in turmoil and war with France is looming. James Matthews, an Welsh tea merchant and anti war advocate who holds covert meeting with both the English and the French leaders. But Matthews believes that his mind is being controlled by revolutionary terrorists and a secret machine called the Air Loom. He is promptly declared mad and send to Bedlam. Here his delusions are celebrated as the most complex and bizarre ever recorded and strangely many of the incredible events he claims to have been involved in are entirely true.

Presents the stories of seven survivors of Hurricane Katrina who tried to evacuate, protect their possessions, and save loved ones before, during, and after the flood.

A landmark insider’s tour of how social media affects our decision-making and shapes our world in ways both useful and dangerous, with critical insights into the social media trends of the 2020 election and beyond “The book might be described as prophetic. . . . At least two of Aral’s three predictions have come to fruition.”—New York NAMED ONE OF THE BEST BOOKS OF THE YEAR BY WIRED • LONGLISTED FOR THE PORCHLIGHT BUSINESS BOOK AWARD Social media connected the world—and gave rise to fake news and increasing polarization. It is paramount, MIT professor Sinan Aral says, that we recognize the outsize effect social media has on us—on our politics, our economy, and even our personal health—in order to steer today’s social technology toward its great promise while avoiding the ways it can pull us apart. Drawing on decades of his own research and business experience, Aral goes under the hood of the most powerful social networks to tackle the critical question of just how much social media actually shapes our choices, for better or worse. He shows how the tech behind social media offers the same set of behavior influencing levers to everyone who hopes to change the way we think and act—from Russian hackers to brand marketers—which is why its consequences affect everything from elections to business, dating to health. Along the way, he covers a wide array of topics, including how network effects fuel Twitter’s and Facebook’s massive growth, the neuroscience of how social media affects our brains, the real consequences of fake news, the power of social ratings, and the impact of social media on our kids. In mapping out strategies for being more thoughtful consumers of social media, The Hype Machine offers the definitive guide to understanding and harnessing for good the technology that has redefined our world overnight.

Every week on the public radio show On the Media, the award-winning journalist Brooke Gladstone analyzes the media and how it shapes our perceptions of the world. Now, from her front-row perch on the day’s events, Gladstone brings her genius for making insightful, unexpected connections to help us understand what she calls—and what so many of us can acknowledge having—“trouble with reality.” Reality, as she shows us, was never what we thought it was—there is always a bubble, people are always subjective and prey to stereotypes. And that makes reality actually more vulnerable than we ever thought. Enter Donald J. Trump and his team of advisors. For them, as she writes, lying is the point. The more blatant the lie, the easier it is to hijack reality and assert power over the truth. Drawing on writers as diverse as Hannah Arendt, Walter Lippmann, Philip K. Dick, and Jonathan Swift, she dissects this strategy, straight out of the authoritarian playbook, and shows how the Trump team mastered it, down to the five types of tweets that Trump uses to distort our notions of what’s real and what’s not. And she offers hope. There is meaningful action, a time-tested treatment for moral panic. And there is also the inevitable reckoning. History tells us we can count on it. Brief and bracing, The Trouble with Reality shows exactly why so many of us didn’t see it coming, and how we can recover both our belief in reality—and our sanity.

A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

You can go after the job you want…and get it! You can take the job you have…and improve it! You can take any situation you’re in…and make it work for you! Since its release in 1936, How to Win Friends and Influence People has sold more than 30 million copies. Dale Carnegie’s first book is a timeless bestseller, packed with rock-solid advice that has carried thousands of now famous people up the ladder of success in their business and personal lives. As relevant as ever before, Dale Carnegie’s principles endure, and will help you achieve your maximum potential in the complex and competitive modern age. Learn the six ways to make people like you, the twelve ways to win people to your way of thinking, and the nine ways to change people without arousing resentment.

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

“More local color than a steamed lobster wearing wild blueberry bracelets, along with a mess of wistful nostalgia for any reader raised in Maine or New England.” —Portland Press Herald Nearly 70 renowned New England writers gather round the table to talk food and how it sustains us—mind, body, and soul An award-winning collection of essays by internationally recognized and beloved foodies, Breaking Bread celebrates local foods, family, and community, while exploring how what’s on our plates engages with what’s off: grief, pleasure, love, ethics, race, and class. Here, you’ll find reflections from top literary talents and food writers like Award-winning novelist Lily King on connecting with her children over a tweaked chocolate chip cookie recipe Pulitzer Prize recipient Richard Russo on the Italian soup his mother snubbed that he came to enjoy Coauthor of Mad Honey Jennifer Finney Boylan on how cheese pizza holds her family together through the good and the bad Coauthor of About Grief Brian Shuff on how greasy takeout can be life-giving food for the grieving soul Award-winning writer Ron Currie on the childhood shame—and adult pride—of your mother being a “lunch lady” Author and homesteader Margaret Hathaway on building a community cookbook to bring food and family together in the early days of COVID-19 Other essays address a beloved childhood food from Iran, the horror of starving in a prison camp, and the urge to bake pot brownies for an ill friend. Rich and flavorful, Breaking Bread brings together some of the most influential voices in the literary and food worlds to show how we experience life through the foods we eat. Proceeds from this collection will benefit Blue Angel, a Maine-based nonprofit founded by writer and Breaking Bread coeditor Deborah Joy Corey to combat hunger. The organization purchases food from local farmers and delivers it directly to families in need.

Artificial intelligence is changing and will continue to change the world we live in. These changes are also influencing the translation market. Machine translation (MT) systems automatically transfer one language to another within seconds. However, MT systems are very often still not capable of producing perfect translations. To achieve high quality translations, the MT output first has to be corrected by a professional translator. This procedure is called post-editing (PE). PE has become an established task on the professional translation market. The aim of this text book is to provide basic knowledge about the most relevant topics in professional PE. The text book comprises ten chapters on both theoretical and practical aspects including topics like MT approaches and development, guidelines, integration into CAT tools, risks in PE, data security, practical decisions in the PE process, competences for PE, and new job profiles.