Future Theory

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.

Three of the world’s most accomplished and deep thinkers come together to explore Artificial Intelligence (AI) and the way it is transforming human society - and what this technology means for us all.

Humanity has reached a critical moment. Our world is unsettled and rapidly changing, and we face existential risks over the next century. Various outcomes - good and bad - are possible. Yet our approach to the future is characterized by short-term thinking, polarizing debates, alarmist rhetoric, and pessimism. In this short, exhilarating book, renowned scientist and best-selling author Martin Rees argues that humanity’s prospects depend on our taking a very different approach to planning for tomorrow.

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.

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.

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.

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.

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.

What if everything you thought you knew about history was wrong—or worse, deliberately rewritten? The Lost Civilization of Tartaria explores the mysteries of a forgotten empire that once spanned the globe. From buried architecture and impossible feats of engineering to orphan trains and suspiciously timed “natural disasters,” this book uncovers the patterns pointing to a massive global reset—and the systematic erasure of an advanced civilization from our collective memory. Through compelling evidence and provocative questions, you'll journey into the world of Tartaria, where star ...

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.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

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.

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.

Surviving the Future is a story drawn from the fertile ground of the late David Fleming's extraordinary Lean Logic: A Dictionary for the Future and How to Survive It. That hardback consists of 404 interlinked dictionary entries, inviting listeners to choose their own path through its radical vision. Recognizing that Lean Logic's sheer size and unusual structure can be daunting, Fleming's long-time collaborator Shaun Chamberlin has selected and edited one of these potential narratives to create Surviving the Future.

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.

This entertaining and accessible introduction to the great economic thinkers throughout history - Adam Smith, John Stuart Mill, Karl Marx, John Maynard Keynes, and more - shows how their ideas still apply to our modern world. In this revised edition, renowned economist Todd Buchholz offers an insightful and informed perspective on key economic issues in the new millennium: increasing demand for energy, the rise of China, international trade, aging populations, health care, and the effects of global warming.

The use of cognitive analytics/artificial intelligence (AI) systems is set to accelerate. Advanced Analytics and AI prepares business users for the era of cognitive analytics/artificial intelligence. Building on established texts and commentary, it specifically prepares you in terms of expectation, impact on personal roles, and responsibilities. It focuses on the specific impact on key industries (retail, financial services, utilities and media) and also on key professions (such as accounting, operational management, supply chain and risk management).