Machine History

The remarkable true story of a lone genius whose quest to unlock the science behind the perfect swing changed golf forever. In 1939, Homer Kelley played golf for the first time and scored 116. Frustrated, he did not play again for six months; when he did he carded a 77. Determined to understand why he was able to shave nearly 40 strokes off his score, Kelley spent three decades of trial and error to unlock the answer and to recapture that one wonderful day when golf was easy and enjoyable.

Behind every great revolution is a vision, and behind perhaps the greatest revolution of our time, personal computing, is the vision of J.C.R. Licklider. In a simultaneously compelling personal narrative and comprehensive historical exposition, Waldrop tells the story of the man who not only instigated the work that led to the internet, but also shifted our understanding of what computers were and could be.

How will artificial intelligence affect crime, war, justice, jobs, society, and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology - and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial.

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. 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 autonomous vehicles on our streets can injure or kill.

The story of Ethereum begins with Vitalik Buterin, a supremely gifted 19-year-old autodidact who saw the promise of blockchain when the technology was in its earliest stages. He convinced a crack group of coders to join him in his quest to make a super-charged, global computer. The Infinite Machine introduces Vitalik’s ingenious idea and unfolds Ethereum’s chaotic beginnings. It then explores the brilliant innovation and reckless greed the platform has unleashed and the consequences that resulted as the frenzy surrounding it grew.

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

For most of human history the world was a magical and enchanted place ruled by forces beyond our understanding. The rise of science and Descartes's division of mind from world made materialism our ruling paradigm, in the process asking whether our own consciousness—i.e., souls—might be illusions. Now the inexorable rise of technology, with artificial intelligences that surpass our comprehension and control, and the spread of digital metaphors for self-understanding, the core questions of existence urgently require rethinking.

The weather is the foundation of our daily lives. It’s a staple of small talk, the app on our smartphones, and often the first thing we check each morning. Yet behind these quotidian interactions is one of the most expansive machines human beings have ever constructed - a triumph of science, technology, and global cooperation. But what is this "weather machine" and who created it?

"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.

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?

For decades, history has considered Tammany Hall, New York's famous political machine, shorthand for the worst of urban politics: graft, crime, and patronage personified by notoriously corrupt characters. Infamous crooks like William "Boss" Tweed dominate traditional histories of Tammany, distorting our understanding of a critical chapter of American political history. In Machine Made, historian and New York City journalist Terry Golway convincingly dismantles these stereotypes.

In November 2022, a webpage was posted online with a simple text box. It was ChatGPT, and was unlike any app people had used before. It was more human than a customer service agent, more convenient than a Google search. Behind the scenes, battles for control and prestige between the world’s two leading AI firms, OpenAI and DeepMind, who now steers Google's AI efforts, has remained elusive—until now.

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.

When most of us think about artificial intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that artificial intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.

When the Marines decided to buy a helicopter-airplane hybrid "tiltrotor" called the V-22 Osprey, they saw it as their dream machine. The tiltrotor was the aviation equivalent of finding the Northwest Passage: an aircraft able to take off, land, and hover with the agility of a helicopter yet fly as fast and as far as an airplane. Many predicted it would reshape civilian aviation. The Marines saw it as key to their very survival. Opponents called it one of the worst boondoggles in Pentagon history.

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.

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.

Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.

In this book, you'll learn how: data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights; blockchain has the potential to restructure the economy; drones and driverless vehicles are becoming essential tools; 3-D printing is making new business models possible; augmented reality is transforming retail and manufacturing; smart speakers are redefining the rules of marketing; and humans and machines are working together to reach new levels of productivity.

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.