Future Theory

With Hope in the Dark, Rebecca Solnit makes a radical case for hope as a commitment to act in a world whose future remains uncertain and unknowable. Drawing on her decades of activism and a wide knowledge of environmental, cultural, and political history, Solnit argues that radicals have a long, neglected history of transformative victories, that the positive consequences of our acts are not always immediately seen, directly knowable, or even measurable.

How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times best-selling author Martin Ford uncovers the truth behind these questions from some of the brightest minds in the artificial intelligence community.

Paul Scharre, a Pentagon defense expert and former U.S. Army Ranger, explores what it would mean to give machines authority over the ultimate decision of life or death. Scharre's far-ranging investigation examines the emergence of autonomous weapons, the movement to ban them, and the legal and ethical issues surrounding their use. Through interviews with defense experts, ethicists, psychologists, and activists, Scharre surveys what challenges might face "centaur warfighters" on future battlefields.

AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.

Something new entered our world in November 2022—the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI.

We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy. None of us are prepared. As co-founder of DeepMind, part of Google, Mustafa Suleyman has been at the center of this revolution. The coming decade, he argues, will be defined by this wave of powerful new technologies.

New edition, expanded and updated. With the release of Theory U almost 10 years ago, Otto Scharmer set in motion a revolution in thought. Scharmer explained that what we pay attention to and how we pay attention is key to what we create. What prevents us from attending to situations more effectively is that we aren't fully aware of and in touch with the inner place from which attention and intention originate.

For over three decades, Ray Kurzweil has been one of the most respected and provocative advocates of the role of technology in our future. In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: The union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations.

Sam Harris—neuroscientist, philosopher, and bestselling author—has been exploring some of the most important questions about the human mind, society, and current events on his podcast, Making Sense. For Harris, honest conversation, no matter how difficult or controversial, represents the only path to moral and intellectual progress. This audiobook includes talks with Daniel Kahneman, Timothy Snyder, Nick Bostrom, and Glen Loury, on topics that range from the nature of consciousness and free will, to politics and extremism, to living ethically.

In ChatGPT and the Future of AI, the sequel to The Deep Learning Revolution, Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski answers all our urgent questions about this astonishing new technology.

Twenty-five years ago, Neil Howe and the late William Strauss dazzled the world with a provocative new theory of American history. Looking back at the last 500 years, they’d uncovered a distinct pattern: modern history moves in cycles, each one lasting roughly 80 to 100 years, the length of a long human life, with each cycle composed of four eras—or “turnings”—that always arrive in the same order and each last about 25 years. The last of these eras—the fourth turning—was always the most perilous, a period of civic upheaval and national mobilization.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

Peter Frase argues that increasing automation and a growing scarcity of resources, thanks to climate change, will bring it all tumbling down. In Four Futures, Frase imagines how this postcapitalist world might look, deploying the tools of both social science and speculative fiction to explore what communism, rentism, socialism, and exterminism might actually entail.

Economic growth isn't working, and it cannot be made to work. Offering a counter-history of how economic growth emerged in the context of colonialism, fossil-fueled industrialization, and capitalist modernity, The Future Is Degrowth argues that the ideology of growth conceals the rising inequalities and ecological destructions associated with capitalism, and points to desirable alternatives to it.

Utopia for Realists is one of those rare books that takes you by surprise and challenges what you think can happen. From a Canadian city that once completely eradicated poverty to Richard Nixon's near implementation of a basic income for millions of Americans, Bregman takes us on a journey through history and beyond the traditional left-right divides as he champions ideas whose time has come.

Tribalism is one of the most complex and ancient evolutionary forces; it gave us the capacity for cooperation and competition, and allowed us to navigate increasingly complex social landscapes. It is so powerful that it can predict our behavior even better than race, class, gender, or religion. But in our vast modern world, has this blessing become a curse? Our Tribal Future explores a central paradox of our species: how altruism, community, kindness, and genocide are all driven by the same core adaptation.

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.

In How to Create a Mind, Ray Kurzweil presents a provocative exploration of the most important project in human-machine civilization: reverse-engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines. Kurzweil discusses how the brain functions, how the mind emerges, brain-computer interfaces, and the implications of vastly increasing the powers of our intelligence to address the world’s problems.

We have entered an age of disruption. Financial collapse, climate change, resource depletion, and a growing gap between rich and poor are but a few of the signs. Otto Scharmer and Katrin Kaufer ask, why do we collectively create results nobody wants? Meeting the challenges of this century requires updating our economic logic and operating system from an obsolete “ego-system” focused entirely on the well-being of oneself to an eco-system awareness that emphasizes the well-being of the whole.

Can a well-programmed machine do anything a human can - only better? Complex algorithms are buying our groceries, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we've taken solace in the notion that they can't create. But now that algorithms can learn and adapt, does the future of creativity belong to machines too?