Life 3.0: Being Human in the Age of Artificial Intelligence


Life 3.0: Being Human in the Age of Artificial Intelligence

Bücher Details

  • Titel:Life 3.0: Being Human in the Age of Artificial Intelligence
  • Dateiname: life-3-0-being-human-in-the-age-of-artificial-intelligence.pdf
  • ISBN: 224931101970316
  • Datum des Hochladens: 2020-01-15
  • Anzahl der Seiten: 528 Seiten
  • Autor: Max Tegmark
  • Verlag: Max Tegmark

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Überblick:

Pressestimmen “Anyone who wants to discuss how artificial intelligence is shaping the world should read this book. Tegmark a physicist by training takes a scientific approach. He doesn’t spend a lot of time saying we should do this or that and as a result Life 3.0 offers a terrific baseline of knowledge on the subject.”  —Bill Gates “10 Favorite Books about Technology”“Original accessible and provocative. . . . Tegmark successfully gives clarity to the many faces of AI creating a highly readable book that complements The Second Machine Age’s economic perspective on the near-term implications of recent accomplishments in AI and the more detailed analysis of how we might get from where we are today to AGI and even the superhuman AI in Superintelligence. . . . At one point Tegmark quotes Emerson: ‘Life is a journey not a destination.’ The same may be said of the book itself. Enjoy the ride and you will come out the other end with a greater appreciation of where people might take technology and themselves in the years ahead.” —Science“Lucid and engaging it has much to offer the general reader. Mr. Tegmark’s explanation of how electronic circuitry—or a human brain—could produce something as evanescent and immaterial as thought is both elegant and enlightening. But the idea that machine-based superintelligence could somehow run amok is fiercely resisted by many computer scientists. . . . Yet the notion enjoys more credence today than a few years ago partly thanks to Mr. Tegmark.” —Wall Street Journal “This is a compelling guide to the challenges and choices in our quest for a great future of life intelligence and consciousness—on Earth and beyond.” —Elon Musk Founder CEO and CTO of SpaceX and co-founder and CEO of Tesla Motors“All of us—not only scientists industrialists and generals—should ask ourselves what can we do now to improve the chances of reaping the benefits of future AI and avoiding the risks. This is the most important conversation of our time and Tegmark’s thought-provoking book will help you join it.” —Professor Stephen Hawking Director of Research Cambridge Centre for Theoretical Cosmology  “Tegmark’s new book is a deeply thoughtful guide to the most important conversation of our time about how to create a benevolent future civilization as we merge our biological thinking with an even greater intelligence of our own creation.” —“Being an eminent physicist and the leader of the Future of Life Institute has given Max Tegmark a unique vantage point from which to give the reader an inside scoop on the most important issue of our time in a way that is approachable without being dumbed down.” —Jaan Tallinn co-founder of Skype   “This is an exhilarating book that will change the way we think about AI intelligence and the future of humanity.” —Bart Selman Professor of Computer Science Cornell University“The unprecedented power unleashed by artificial intelligence means the next decade could be humanity’s best—or worst.  Tegmark has written the most insightful and just plain fun exploration of AI’s implications that I’ve ever read. If you haven’t been exposed to Tegmark’s joyful mind yet you’re in for a huge treat.” —Professor Erik Brynjolfsson Director of the MIT Initiative on the Digital Economy and co-author of The Second Machine Age“Tegmark seeks to facilitate a much wider conversation about what kind of future we as a species would want to create. Though the topics he covers—AI cosmology values even the nature of conscious experience—can be fairly challenging he presents them in an unintimidating manner that invites the reader to form her own opinions.” —Nick Bostrom Founder of Oxford’s Future of Humanity Institute author of Superintelligence“I was riveted by this book. The transformational consequences of AI may soon be upon us­—but will they be utopian or catastrophic? The jury is out but this enlightening lively and accessible book by a distinguished scientist helps us to assess the odds.” —Professor Martin Rees Astronomer Royal cosmology pioneer author of Our Final Hour 'In [Tegmark's] magnificent brain each fact or idea appears to slip neatly into its appointed place like another little silver globe in an orrery the size of the universe. There are spaces for Kant Cold War history and Dostoyevsky for the behaviour of subatomic particles and the neuroscience of consciousness. . . . Tegmark describes the present near-future and distant possibilities of AI through a series of highly original thought experiments. . . . Tegmark is not personally wedded to any of these ideas. He asks only that his readers make up their own minds. In the meantime he has forged a remarkable consensus on the need for AI researchers to work on the mind-bogglingly complex task of building digital chains that are strong and durable enough to hold a superintelligent machine to our bidding. . . . This is a rich and visionary book and everyone should read it.' —The Times (UK)“Life 3.0 is far from the last word on AI and the future but it provides a fascinating glimpse of the hard thinking required.” —Stuart Russell Nature “Tegmark’s book along with Nick Bostrom’s Superintelligence stands out among the current books about our possible AI futures. . . . Tegmark explains brilliantly many concepts in fields from computing to cosmology writes with intellectual modesty and subtlety does the reader the important service of defining his terms clearly and rightly pays homage to the creative minds of science-fiction writers who were of course addressing these kinds of questions more than half a century ago. It’s often very funny too.” —The Telegraph (UK)“Exhilarating. . . . MIT physicist Tegmark surveys advances in artificial intelligence such as self-driving cars and Jeopardy-winning software but focuses on the looming prospect of ‘recursive self-improvement’—AI systems that build smarter versions of themselves at an accelerating pace until their intellects surpass ours. Tegmark’s smart freewheeling discussion leads to fascinating speculations on AI-based civilizations spanning galaxies and eons. . . . Engrossing.” —Publishers Weekly Über den Autor und weitere Mitwirkende MAX TEGMARK is an MIT professor who has authored more than 200 technical papers on topics from cosmology to artificial intelligence. As president of the Future of Life Institute he worked with Elon Musk to launch the first-ever grants program for AI safety research. He has been featured in dozens of science documentaries. His passion for ideas adventure and entrepreneurship is infectious. Leseprobe. Abdruck erfolgt mit freundlicher Genehmigung der Rechteinhaber. Alle Rechte vorbehalten. THE THREE STAGES OF LIFE The question of how to define life is notoriously controversial. Competing definitions abound some of which include highly specific requirements such as being composed of cells which might disqualify both future intelligent machines and extraterrestrial civilizations. Since we don’t want to limit our thinking about the future of life to the species we’ve encountered so far let’s instead define life very broadly simply as a process that can retain its complexity and replicate. What’s replicated isn’t matter (made of atoms) but information (made of bits) specifying how the atoms are arranged. When a bacterium makes a copy of its DNA no new atoms are created but a new set of atoms are arranged in the same pattern as the original thereby copying the information. In other words we can think of life as a self-replicating information processing system whose information (software) determines both its behavior and the blueprints for its hardware. Like our universe itself life gradually grew more complex and interesting and as I’ll now explain I find it helpful to classify life forms into three levels of sophistication: Life 1.0 2.0 and 3.0. It’s still an open question how when and where life first appeared in our universe but there is strong evidence that here on Earth life first appeared about 4 billion years ago. Before long our planet was teeming with a diverse panoply of life forms. The most successful ones which soon outcompeted the rest were able to react to their environment in some way. Specifically they were what computer scientists call “intelligent agents”: entities that collect information about their environment from sensors and then process this information to decide how to act back on their environment. This can include highly complex information-processing such as when you use information from our eyes and ears to decide what to say in a conversation. But it can also involve hardware and software that’s quite simple. For example many bacteria have a sensor measuring the sugar concentration in the liquid around them and can swim using propeller-shaped structures called flagella. The hardware linking the sensor to the flagella might implement the following simple but useful algorithm: “If my sugar concentration sensor reports a lower value than a couple of seconds ago then reverse the rotation of my flagella so that I change direction.” Whereas you’ve learned how to speak and countless other skills bacteria aren’t great learners. Their DNA specifies not only the design of their hardware such as sugar sensors and flagella but also the design of their software. They never learn to swim toward sugar; instead that algorithm was hard-coded into their DNA from the start. There was of course a learning process of sorts but it didn’t take place during the lifetime of that particular bacterium. Rather it occurred during the preceding evolution of that species of bacteria through a slow trial-and-error process spanning many generations where natural selection favored those random DNA mutations that improved sugar consumption. Some of these mutations helped by improving the design of flagella and other hardware while other mutations improved the bacterial information processing system that implements the sugar-finding algorithm and other software. Such bacteria are an example of what I’ll call “Life 1.0”: life where both the hardware and software is evolved rather than designed. You and I on the other hand are examples of “Life 2.0”: life whose hardware is evolved but whose software is largely designed. By your software I mean all the algorithms and knowledge that you use to process the information from your senses and decide what to do—everything from the ability to recognize your friends when you see them to your ability to walk read write calculate sing and tell jokes. You weren’t able to perform any of those tasks when you were born so all this software got programmed into your brain later through the process we call learning. Whereas your childhood curriculum is largely designed by your family and teachers who decide what you should learn you gradually gain more power to design your own software. Perhaps your school allows you to select a foreign language: do you want to install a software module into your brain that enables you to speak French or one that enables you to speak Spanish? Do you want to learn to play tennis or chess? Do you want to study to become a chef a lawyer or a pharmacist? Do you want to learn more about artificial intelligence (AI) and the future of life by reading a book about it? This ability of Life 2.0 to design its software enables it to be much smarter than Life 1.0. High intelligence requires both lots of hardware (made of atoms) and lots of software (made of bits). The fact that most of our human hardware is added after birth (through growth) is useful since our ultimate size isn’t limited by the width of our mom’s birth canal. In the same way the fact that most of our human software is added after birth (through learning) is useful since our ultimate intelligence isn’t limited by how much information can be transmitted to us at conception via our DNA 1.0-style. I weigh about 25 times more than when I was born and the synaptic connections that link the neurons in my brain can store about a hundred thousand times more information than the DNA that I was born with. Your synapses store all your knowledge and skills as roughly 100 terabytes worth of information while your DNA stores merely about a gigabyte barely enough to store a single movie download. So it’s physically impossible for an infant to be born speaking perfect English and ready to ace her college entrance exams: there’s no way the information could have been pre-loaded into her brain since the main information module she got from her parents (her DNA) lacks sufficient information-storage capacity. The ability to design its software enables Life 2.0 to be not only smarter than Life 1.0 but also more flexible. If the environment changes 1.0 can only adapt by slowly evolving over many generations. 2.0 on the other hand can adapt almost instantly via a software update. For example bacteria frequently encountering antibiotics may evolve drug resistance over many generations but an individual bacterium won’t change its behavior at all while a girl learning that she has a peanut allergy will immediately change her behavior to start avoiding peanuts. This flexibility gives Life 2.0 an even greater edge at the population level: even though the information in our human DNA hasn’t evolved dramatically over the past 50000 years the information collectively stored in our brains books and computers has exploded. By installing a software module enabling us to communicate through sophisticated spoken language we ensured that the most useful information stored in one person’s brain could get copied to other brains potentially surviving even after the original brain died. By installing a software module enabling us to read and write we became able to store and share vastly more information than people could memorize. By developing brain-software capable of producing technology (i.e. by studying science and engineering) we enabled much of the world’s information to be accessed by many of the world’s humans with just a few clicks. This flexibility has enabled Life 2.0 to dominate Earth. Freed from its genetic shackles humanity’s combined knowledge has kept growing at an accelerating pace as each breakthrough enabled the next: language writing the printing press modern science computers the...

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