The Singularity Is Near: When Humans Transcend Biology Author: | Language: English | ISBN:
B004ZF18PW | Format: PDF
The Singularity Is Near: When Humans Transcend Biology Description
For over three decades, the great inventor and futurist 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.
That merging is the essence of the Singularity, an era in which our intelligence will become increasingly nonbiological and trillions of times more powerful than it is today - the dawning of a new civilization that will enable us to transcend our biological limitations and amplify our creativity. In this new world, there will be no clear distinction between human and machine, real reality and virtual reality. While the social and philosophical ramifications of these changes will be profound, and the threats they pose considerable, The Singularity Is Near maintains a radically optimistic view of the future course of human development. As such, it offers a view of the coming age that is both a dramatic culmination of centuries of technological ingenuity and a genuinely inspiring vision of our ultimate destiny.
- Audible Audio Edition
- Listening Length: 24 hours and 44 minutes
- Program Type: Audiobook
- Version: Unabridged
- Publisher: Tantor Audio
- Audible.com Release Date: May 4, 2011
- Whispersync for Voice: Ready
- Language: English
- ASIN: B004ZF18PW
Kurzweil does a good job of arguing that extrapolating trends such as Moore's Law is better than most alternative forecasting methods, and he does a good job of describing the implications of those trends. But he is a bit long-winded, and tries to hedge his methodology by pointing to specific research results which he seems to think buttress his conclusions. He neither convinces me that he is good at distinguishing hype from value when analyzing current projects, nor that doing so would help with the longer-term forecasting that constitutes the important aspect of the book.
Given the title, I was slightly surprised that he predicts that AIs will become powerful slightly more gradually than I recall him suggesting previously (which is a good deal more gradual than most Singulitarians). He offsets this by predicting more dramatic changes in the 22nd century than I imagined could be extrapolated from existing trends.
His discussion of the practical importance of reversible computing is clearer than anything else I've read on this subject.
When he gets specific, large parts of what he says seem almost right, but there are quite a few details that are misleading enough that I want to quibble with them.
For instance (talking about the world circa 2030): "The bulk of the additional energy needed is likely to come from new nanoscale solar, wind, and geothermal technologies." Yet he says little to justify this, and most of what I know suggests that wind and geothermal have little hope of satisfying more than 1 or 2 percent of new energy demand.
His reference to "the devastating effect that illegal file sharing has had on the music-recording industry" seems to say something undesirable about his perspective.
The author is definitely one of the most inspiring of all researchers in the field of applied artificial intelligence. For those, such as this reviewer, who are working "in the trenches" of applied AI, his website is better than morning coffee. One does not have to agree with all the conclusions reached by the author in order to enjoy this book, but he does make a good case, albeit somewhat qualitative, for the occurrence, in this century, of what he and other futurists have called a `technological singularity.' He defines this as a period in the future where the rate of technological change will be so high that human life will be `irreversibly transformed.' There is much debate about this notion in the popular literature on AI, but in scientific and academic circles it has been greeted with mixed reviews. Such skepticism in the latter is expected and justified, for scientists and academic researchers need more quantitative justification than is usually provided by the enthusiasts of the singularity, which in this book the author calls "singularitarians." Even more interesting though is that the notion of rapid technological change seems to be ignored by the business community, who actually stand to gain (or lose) the most by it.
Since this book is aimed primarily at a wide audience, and not professional researchers, the author does not include detailed arguments or definitions for the notion of machine intelligence or a list of the hundreds of examples of intelligent machines that are now working in the field. Indeed, if one were to include a discussion of each of these examples, this book would swell to thousands of pages.
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