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Curious about what an artificial intelligence is capable of? This is a book of haiku written by GPT-3, an artificial intelligence. GPT-3 is a universal recursive self-improver that leverages a multi-symbolic encoding to function as a novel class of general intelligence. It is a book of haiku, a type of poem, which is written in a very traditional Japanese style. It is a book that is simple in form, but rich in meaning, and it is more than just a collection of words. The entire book, cover art, and product description were generated by artificial intelligence. From the book: #14 A joyful heart Is like the flowers That bloom in the spring #50 Dying will be easy And not at all terrible When I'm with you.
From the Booker Prize winner and bestselling author of Atonement—”a sharply intelligent novel of ideas” (The New York Times) that asks whether a machine can understand the human heart, or whether we are the ones who lack understanding. Set in an uncanny alternative 1982 London—where Britain has lost the Falklands War, Margaret Thatcher battles Tony Benn for power, and Alan Turing achieves a breakthrough in artificial intelligence—Machines Like Me powerfully portrays two lovers who will be tested beyond their understanding. Charlie, drifting through life and dodging full-time employment, is in love with Miranda, a bright student who lives with a terrible secret. When Charlie comes into money, he buys Adam, one of the first generation of synthetic humans. With Miranda's assistance, he codesigns Adam's personality. The near-perfect human that emerges is beautiful, strong, and smart—and a love triangle soon forms. Ian McEwan's subversive, gripping novel poses fundamental questions: What makes us human—our outward deeds or our inner lives? Could a machine understand the human heart? This provocative and thrilling tale warns against the power to invent things beyond our control. Don’t miss Ian McEwan’s new novel, Lessons, coming in September!
Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers—including experienced practitioners and novices alike—will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you: Define your product goal and set up a machine learning problem Build your first end-to-end pipeline quickly and acquire an initial dataset Train and evaluate your ML models and address performance bottlenecks Deploy and monitor your models in a production environment
The essays in this book, written by researchers from both humanities and science, describe various theoretical and experimental approaches to adding medical ethics to a machine, what design features are necessary in order to achieve this, philosophical and practical questions concerning justice, rights, decision-making and responsibility in medical contexts, and accurately modeling essential physician-machine-patient relationships. In medical settings, machines are in close proximity with human beings: with patients who are in vulnerable states of health, who have disabilities of various kinds, with the very young or very old and with medical professionals. Machines in these contexts are undertaking important medical tasks that require emotional sensitivity, knowledge of medical codes, human dignity and privacy. As machine technology advances, ethical concerns become more urgent: should medical machines be programmed to follow a code of medical ethics? What theory or theories should constrain medical machine conduct? What design features are required? Should machines share responsibility with humans for the ethical consequences of medical actions? How ought clinical relationships involving machines to be modeled? Is a capacity for empathy and emotion detection necessary? What about consciousness? This collection is the first book that addresses these 21st-century concerns.
NEW YORK TIMES BESTSELLER • An urgent warning of the unprecedented risks that AI and other fast-developing technologies pose to global order, and how we might contain them while we have the chance—from a co-founder of the pioneering artificial intelligence company DeepMind and current CEO of Microsoft AI “A fascinating, well-written, and important book.”—Yuval Noah Harari “Essential reading.”—Daniel Kahneman “An excellent guide for navigating unprecedented times.”—Bill Gates A Best Book of the Year: CNN, Economist, Bloomberg, Politico Playbook, Financial Times, The Guardian, CEO Magazine, Semafor • Winner of the Inc. Non-Obvious Book Award • Finalist for the Porchlight Business Book Award and the Financial Times and Schroders Business Book of the Year Award 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 the pioneering AI company 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, fast-proliferating new technologies. In The Coming Wave, Suleyman shows how these forces will create immense prosperity but also threaten the nation-state, the foundation of global order. As our fragile governments sleepwalk into disaster, we face an existential dilemma: unprecedented harms on one side, the threat of overbearing surveillance on the other. Can we forge a narrow path between catastrophe and dystopia? Is it possible to contain the threat of AI? This groundbreaking book from the ultimate AI insider establishes “the containment problem”—the task of maintaining control over powerful technologies—as the essential challenge of our age.
Cybernetic-Existentialism: Freedom, Systems, and Being-for-Others in Contemporary Arts and Performance offers a unique discourse and an original aesthetic theory. It argues that fusing perspectives from the philosophy of Existentialism with insights from the ‘universal science’ of cybernetics provides a new analytical lens and deconstructive methodology to critique art. In this study, Steve Dixon examines how a range of artists’ works reveal the ideas of Existentialist philosophers including Kierkegaard, Camus, de Beauvoir, and Sartre on freedom, being and nothingness, eternal recurrence, the absurd, and being-for-others. Simultaneously, these artworks are shown to engage in complex explorations of concepts proposed by cyberneticians including Wiener, Shannon, and Bateson on information theory and ‘noise’, feedback loops, circularity, adaptive ecosystems, autopoiesis, and emergence. Dixon’s groundbreaking book demonstrates how fusing insights and knowledge from these two fields can throw new light on pressing issues within contemporary arts and culture, including authenticity, angst and alienation, homeostasis, radical politics, and the human as system.
Mimicking nature - from science fiction to engineering realityHumans have always looked to nature's inventions as a source of inspiration. The observation of flying birds and insects leads to innovations in aeronautics. Collision avoidance sensors mimic the whiskers of rodents. Optimization algorithms are based on survival of the fittest, the seed-
The modern robot is developing immense functional versatility and - many would say - powers of judgement, reason, and the ability to discriminate between behavioural options (the rudiments of free will). We can see, with only a little imagination, how robots will progressively acquire human-like capabilities and characteristics. Indeed we may ask whether there are any human preserves upon which the robot will not one day encroach. And this suggests the associated question - is it possible to interpret human beings themselves in robotic terms?
Proceedings of the 12th International Conference on Human Interaction and Emerging Technologies, IHIET 2024, August 26-28, 2024, IUAV University of Venice, Italy.