Future Theory

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.

Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit.

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.

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 the 16th century, control of colonies and gold bullion gave Spain the edge; 17th-century Netherlands profited from trade and finance; 18th-century France gained from its larger population, while 19th-century British power rested on its primacy in the Industrial Revolution and its navy. In the era of Kennedy and Khrushchev, power resources were measured in terms of nuclear missiles, industrial capacity, and numbers of men under arms and tanks lined up ready to cross the plains of Eastern Europe. But the global information age of the 21st century is quickly rendering these traditional markers of power obsolete, remapping power relationships

We are about to cross a critical threshold in the history of our species. Everything is about to change. Soon we will live surrounded by AIs. They will carry out complex tasks-operating businesses, producing unlimited digital content, running core government services and maintaining infrastructure. This will be a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy. It represents nothing less than a step change in human capability. We are not prepared.

You don't have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we're headed. Even now, technological innovations and machine learning have a daily impact on our lives, and many of us see good reasons to dread the future. Are we doomed to the surveillance society imagined in George Orwell's 1984? Mathematician and philosopher John Lennox believes that there are credible responses to the daunting questions that AI poses.

Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”

Inventing the Future is a bold new manifesto for life after capitalism. Against the confused understanding of our high-tech world by both the right and the left, this book claims that the emancipatory and future-oriented possibilities of our society can be reclaimed. Instead of running from a complex future, Nick Srnicek and Alex Williams demand a postcapitalist economy capable of advancing standards, liberating humanity from work and developing technologies that expand our freedoms.

For over two-hundred years, capitalist systems have overtaken the global economy, spreading near-universal growth and opening the floodgates for limitless human potential. Yet something is going terribly wrong in the world economy. National bestselling author George Gilder explains how economics is not an incentive system but an information system. Redefining capitalism for the modern age, he reveals how free enterprise is a mind driven system, material resources are essentially as infinite as atoms, and what governs economic growth is human creativity.

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.

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.

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.

Dive into the mesmerizing world of "Trout Theory: A Deep Dive into Consciousness Time Travel"—a groundbreaking journey that blends science, philosophy, and speculative fiction to challenge our very understanding of time. This book invites you to explore the tantalizing possibility that time isn’t a rigid, linear path but a flowing river that our consciousness can navigate like a trout swimming against the current. From ancient philosophical insights and mythological cycles to modern breakthroughs in neuroscience and quantum theory, each chapter unravels a different facet of time travel....

In this updated and expanded edition of Human + Machine—including a new chapter on gen AI—Daugherty and Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization, whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly—or completely reimagine them.

Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow.

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.

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.

This book will teach you to: understand what AI and machine learning are, and learn about new developments like ChatGPT; discover strategies for engaging students more fully using AI; automate administrative tasks, grading and feedback, and assessments; use AI in innovative ways to promote higher-order thinking skills; and examine ethical considerations of AI, including the achievement gap, privacy concerns, and bias.

Sigmund Freud (1856-1939) reveals himself in this autobiography, which is simultaneously an account of the early history of psychoanalysis, to have been an outsider from the start. This fascinating account describes the journey of a young, Jewish doctor setting out to find his way in the world of professional medicine, his relationships and collaborations, friendships made and lost and his investigations into cocaine, hypnosis and the cathartic method which contributed to the evolution of his conceptual framework and practices.