Machine History

Africa is the world’s poorest continent and, arguably, its richest. In The Looting Machine, Tom Burgis takes listeners on a gripping journey into the world of the magnates and militiamen, the despots and jet-setting executives who gorge on Africa’s vast stocks of oil, gas, metals, and precious stones. Combining deep reporting with an action-packed narrative, Burgis presents a blistering investigation of the plunder of a continent and the terrible human toll.

A paradigm-shifting work that revolutionizes our understanding of the origins and structure of science.

The idea that human history is approaching a "singularity" - that ordinary humans will someday be overtaken by artificially intelligent machines or cognitively enhanced biological intelligence, or both - has moved from the realm of science fiction to serious debate. Some singularity theorists predict that if the field of artificial intelligence (AI) continues to develop at its current dizzying rate, the singularity could come about in the middle of the present century.

As robots are increasingly integrated into modern society - on the battlefield and the road, in business, education, and health - Pulitzer Prize-winning New York Times science writer John Markoff searches for an answer to one of the most important questions of our age: Will these machines help us, or will they replace us?

Written for adults, Saving JFK is the first volume of the Time Travel Twins series exploring the Kennedy assassination. "If time travel, assassination, history, and conspiracies don't get you hooked, then I honestly don't know what will." LL Book Review "There's something in this fantastic tale...for everyone!" Did you know Dallas was the third attempt to kill JFK in November 1963? The Chicago attempt looked just like Dallas, except for a different patsy. Interloping time travelers from the year 2028 -- Emma, a dynamic seventeen-year-old young woman, her impulsive twin brother Ethan, their ...

When most people think of the prohibition era, they think of speakeasies, rum runners, and backwoods fundamentalists railing about the ills of strong drink. In other words, in the popular imagination, it is a peculiarly American history. Yet, as Mark Lawrence Schrad shows in Smashing the Liquor Machine, the conventional scholarship on prohibition is extremely misleading for a simple reason: American prohibition was just one piece of a global phenomenon.

As it absorbs data, gains agency, and intermediates between humans and reality, AI will help us to address enormous crises, from climate change to geopolitical conflicts to income inequality. It might well solve some of the greatest mysteries of our universe, revolutionize fields as diverse as medicine and architecture, and elevate the human spirit to unimaginable heights. But it will also pose challenges on a scale and of an intensity that we have never seen.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

On November 2nd in the year 2000 a man with the alias TimeTravel_0 posted a message on an internet discussion board called the Time Travel Institute Forum. He claimed to be a soldier from 2036 who was part of a military time-travel project. His name was John Titor. Over the next four months, Titor’s 570 internet posts would describe an upcoming civil conflict over a U.S. presidential election, which led to a period of chaos, famine and global nuclear war. His mission was to retrieve an IBM 5100, a model which features a hidden ability to “speak” multiple code languages. The Plan was ...

The machine that kills secrets is a powerful cryptographic code that hides the identities of leakers and hacktivists as they spill the private files of government agencies and corporations bringing us into a new age of whistle blowing. With unrivaled access to figures like Julian Assange, Daniel Domscheit-Berg, and Jacob Applebaum, investigative journalist Andy Greenberg unveils the group that brought the world WikiLeaks, OpenLeaks, and BalkanLeaks.

The first robot to walk the earth was a bronze giant called Talos. This wondrous machine was created not by MIT Robotics Lab, but by Hephaestus, the Greek god of invention, more than 2,500 years ago. In this groundbreaking account of the earliest expressions of the timeless impulse to create artificial life, Adrienne Mayor tells the fascinating story of how ancient Greek, Roman, Indian, and Chinese myths envisioned artificial life, automata, self-moving devices, and human enhancements - and how these visions relate to and reflect the ancient invention of real animated machines.

In The World’s Biggest Cash Machine, informed by interviews with key figures behind the scenes, award-winning journalist and commentator Chris Blackhurst charts the gripping story of the world’s biggest football club - as well as exploring the wider transformation of the Premier League into a playground for billionaire owners.

Are you a coffee lover? Do you want to make a perfect cup of coffee to impress your friends and family, every single time? Do you want to know about the health benefits of coffee, and discover fun and innovative ways to make coffee? Then you will love this book. Most people that are desperate for that caffeine kick in the morning would rush to their nearest corner cafe or grab a quick instant coffee to get going. In the process, they settle for a bland-tasting coffee or one that cannot give them that energy boost. But YOU deserve more than that. You deserve a PERFECT CUP OF COFFEE. ...

John Maeda is one of the world's preeminent interdisciplinary thinkers on technology and design. In How to Speak Machine, he offers a set of simple laws that govern not only the computers of today, but the unimaginable machines of the future. Technology is already more powerful than we can comprehend, and getting more powerful at an exponential pace. Once set in motion, algorithms never tire.

When ChatGPT was released, the world changed overnight. Even as we all played with the new toy, a very real danger was quickly coming to light: that untested automations would undermine our way of life insidiously, sucking value out of our economy, replacing high-level creative jobs and enabling a new, terrifying era of disinformation.

On the surface, a British poet, an UberEats courier in Pittsburgh, an Indian doctor, and a Chinese activist in exile have nothing in common. But they are in fact linked by a profound common experience—unexpected encounters with artificial intelligence. In Code Dependent, Murgia shows how automated systems are reshaping our lives all over the world, from technology that marks children as future criminals, to an app that is helping to give diagnoses to a remote tribal community.

The tragic fate of the British airship R101—which went down in a spectacular fireball in 1930, killing more people than died in the Hindenburg disaster seven years later—has been largely forgotten. In His Majesty’s Airship, S.C. Gwynne resurrects it in vivid detail, telling the epic story of great ambition gone terribly wrong.

Artificial Intelligence has been “just around the corner” for decades, continually disappointing those who long believed in its potential. But now, with the emergence and growing use of ChatGPT, Gemini, and a rapidly multiplying number of other AI tools, many are wondering: Has AI’s moment finally arrived? In AI Valley, Pulitzer Prize-winning journalist Gary Rivlin brings us deep into the world of AI development in Silicon Valley. Over the course of more than a year, Rivlin closely follows founders and venture capitalists trying to capitalize on this AI moment.

"You look like a thing and I love you" is one of the best pickup lines ever...according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans — all to understand the technology that governs so much of our daily lives.

A new field of collective intelligence has emerged in the last few years, prompted by a wave of digital technologies that make it possible for organizations and societies to think at large scale. This "bigger mind" - human and machine capabilities working together - has the potential to solve the great challenges of our time. So why do smart technologies not automatically lead to smart results?