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Visions: How Science Will Revolutionize the 21st Century Paperback – September 15, 1998
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"An erudite, compelling insider's look into the most mind-bending potential of science research." —Chicago Tribune
The next century will witness more far-reaching scientific revolutions, as we make the transition from unraveling the secrets of nature to becoming masters of nature. We will no longer be passive bystanders to the dance of the universe, but will become creative choreographers of matter, life, and intelligence.
The first section of Visions presents a shocking look at a cyber-world infiltrated by millions of tiny intelligence systems. Part two illustrates how the decoding of DNA's genetic structure will allow humans the "godlike ability to manipulate life almost at will." Finally, Visions focuses on the future of quantum physics, in which physicists will perfect new ways to manipulate matter and harness the cosmic energy of the universe.
What makes Michio Kaku's vision of the science of the future so compelling--and so different from the mere forecasts of most thinkers--is that it is based on the groundbreaking research taking place in labs today, as well as the consensus of over 150 of Kaku's scientific colleagues. Science, for all its breathtaking change, evolves slowly; we can accurately predict, asserts Kaku, what the direction of science will be, based on the paths that are being forged today.
A thrilling, unique narrative that brings together the thinking of many of the world's most accomplished scientists to explore the world of the future, Visions is science writing at its best.
- Print length416 pages
- LanguageEnglish
- Publication dateSeptember 15, 1998
- Dimensions5.19 x 0.94 x 8 inches
- ISBN-100385484992
- ISBN-13978-0385484992
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Subtitled How Science Will Revolutionize the 21st Century and Beyond, Visions assumes that, by and large, scientists get to do whatever they like, that all technologies are consumer technologies, and that consumers welcome anything and everything science throws at them. Kaku gets away with this frankly dodgy strategy by dint of sheer hard work. He has based his predictions on interviews with more than 150 renowned working scientists; he integrates these interviews with a huge body of original journalistic material; and, above all, he roots that mass of information on an entirely reasonable model of what the purpose of science will be in the third millennium. Up until now, science has expended its efforts on decoding most of the fundamental natural processes--"the dance," as Kaku puts it, of elementary particles deep inside stars and the rhythms of DNA molecules coiling and uncoiling within our bodies. Science's task now, Kaku believes, is to cross-pollinate advances thrown up by the study of matter, biology, and mind--modern science's three main theaters of endeavor. "We are now making the transition from amateur chess players to grand masters," he writes, "from observers to choreographers of nature." Then again, he also believes that "the Internet ... will eventually become a 'Magic Mirror' that appears in fairy tales, able to speak with the wisdom of the human race." Kaku, in short, deserves a good slapping--but he also deserves to be read. --Simon Ings, Amazon.co.uk
Review
Critical acclaim for Michio Kaku's previous book, Hyperspace:
"Among the best of its genre to appear in recent years...What a wonderful adventure it is, trying to think the unthinkable!"
—The New York Times Book Review
"A roller coaster of an intellectual ride through the extraordinary world of black holes, wormholes, parallel universes, higher dimensions and time travel."
—Philadelphia Inquirer
"Mesmerizing...the reader exits dizzy, elated and looking at the world in a
literally revolutionary way."
—The Washington Post
From the Inside Flap
The next century will witness more far-reaching scientific revolutions, as we make the transition from unraveling the secrets of nature to becoming masters of nature. We will no longer be passive bystanders to the dance of the universe, but will become creative choreographers of matter, life, and intelligence.
The first section of Visions presents a shocking look at a cyber-world infiltrated by millions of tiny intelligence systems. Part two illustrates how the decoding of DNA's genetic structure will allow humans the "godlike ability to manipulate life almost at will." Finally, VISIONS focuses on the future of quantum physics, in which physicists will perfect new ways to manipulate matter and harness the cosmic energy of the universe.
What makes Michio Kaku's vision of the science of the future so compelling--and so different from the mere forecasts of most thinkers--is that it is based on the groundbreaking research taking place in labs today, as well as the consensus of over 150 of Kaku's scientific colleagues. Science, for all its breathtaking change, evolves slowly; we can accurately predict, asserts Kaku, what the direction of science will be, based on the paths that are being forged today.
A thrilling, unique narrative that brings together the thinking of many of the world's most accomplished scientists to explore the world of the future, Visions is science writing at its best.
From the Back Cover
The next century will witness more far-reaching scientific revolutions, as we make the transition from unraveling the secrets of nature to becoming masters of nature. We will no longer be passive bystanders to the dance of the universe, but will become creative choreographers of matter, life, and intelligence.
The first section of "Visions presents a shocking look at a cyber-world infiltrated by millions of tiny intelligence systems. Part two illustrates how the decoding of DNA's genetic structure will allow humans the "godlike ability to manipulate life almost at will." Finally, VISIONS focuses on the future of quantum physics, in which physicists will perfect new ways to manipulate matter and harness the cosmic energy of the universe.
What makes Michio Kaku's vision of the science of the future so compelling--and so different from the mere forecasts of most thinkers--is that it is based on the groundbreaking research taking place in labs today, as well as the consensus of over 150 of Kaku's scientific colleagues. Science, for all its breathtaking change, evolves slowly; we can accurately predict, asserts Kaku, what the direction of science will be, based on the paths that are being forged today.
A thrilling, unique narrative that brings together the thinking of many of the world's most accomplished scientists to explore the world of the future, "Visions is science writing at its best.
About the Author
Excerpt. © Reprinted by permission. All rights reserved.
"There are three great themes in science in the twentieth century--the atom, the computer, and the gene."
--Harold Varmus, NIH Director
"Prediction is very hard, especially when it's about the future."
--Yogi Berra
Three centuries ago, Isaac Newton wrote: ". . . to myself I seem to have been only like a boy playing on a seashore, and diverting myself in now and then finding a smoother pebble or a prettier shell than ordinary, whilst the great ocean of truth lay all undiscovered before me." When Newton surveyed the vast ocean of truth which lay before him, the laws of nature were shrouded in an impenetrable veil of mystery, awe, and superstition. Science as we know it did not exist.
Life in Newton's time was short, cruel, and brutish. People were illiterate for the most part, never owned a book or entered a classroom, and rarely ventured beyond several miles of their birthplace. During the day, they toiled at backbreaking work in the fields under a merciless sun. At night, there was usually no entertainment or relief to comfort them except the empty sounds of the night. Most people knew firsthand the gnawing pain of hunger and chronic, debilitating disease. Most people would live not much longer than age thirty, and would see many of their ten or so children die in infancy.
But the few wondrous shells and pebbles picked up by Newton and other scientists on the seashore helped to trigger a marvelous chain of events. A profound transformation occurred in human society. With Newton's mechanics came powerful machines, and eventually the steam engine, the motive force which reshaped the world by overturning agrarian society, spawning factories and stimulating commerce, unleashing the industrial revolution, and opening up entire continents with the railroad.
By the nineteenth century, a period of intense scientific discovery was well underway. Remarkable advances in science and medicine helped to lift people out of wretched poverty and ignorance, enrich their lives, empower them with knowledge, open their eyes to new worlds, and eventually unleash complex forces which would topple the feudal dynasties, fiefdoms, and empires of Europe.
By the end of the twentieth century, science had reached the end of an era, unlocking the secrets of the atom, unraveling the molecule of life, and creating the electronic computer. With these three fundamental discoveries, triggered by the quantum revolution, the DNA revolution, and the computer revolution, the basic laws of matter, life, and computation were, in the main, finally solved.
That epic phase of science is now drawing to a close; one era is ending and another is only beginning.
This book is about this new dynamic era of science and technology which is now unfolding before our eyes. It focuses on science in the next 100 years, and beyond. The next era of science promises to be an even deeper, more thoroughgoing, more penetrating one than the last.
Clearly, we are on the threshold of yet another revolution. Human knowledge is doubling every ten years. In the past decade, more scientific knowledge has been created than in all of human history. Computer power is doubling every eighteen months. The Internet is doubling every year. The number of DNA sequences we can analyze is doubling every two years. Almost daily, the headlines herald new advances in computers, telecommunications, biotechnology, and space exploration. In the wake of this technological upheaval, entire industries and lifestyles are being overturned, only to give rise to entirely new ones. But these rapid, bewildering changes are not just quantitative. They mark the birth pangs of a new era.
Today, we are again like children walking on the seashore. But the ocean that Newton knew as a boy has largely disappeared. Before us lies a new ocean, the ocean of endless scientific possibilities and applications, giving us the potential for the first time to manipulate and mold these forces of Nature to our wishes.
For most of human history, we could only watch, like bystanders, the beautiful dance of Nature. But today, we are on the cusp of an epochmaking transition, from being passive observers of Nature to being active choreographers of Nature. It is this tenet that forms the central message of Visions. The era now unfolding makes this one of the most exciting times to be alive, allowing us to reap the fruits of the last 2,000 years of science. The Age of Discovery in science is coming to a close, opening up an Age of Mastery.
Emerging Consensus Among Scientists
What will the future look like? Science fiction writers have sometimes made preposterous predictions about the decades ahead, from vacationing on Mars to banishing all diseases. And even in the popular press, all too often an eccentric social critic's individual prejudices are substituted for the consensus within the scientific community. (ln 1996, for example, The New York Times Magazine devoted an entire issue to life in the next 100 years. Journalists, sociologists, writers, fashion designers, artists, and philosophers all submitted their thoughts. Remarkably, not a single scientist was consulted.)
The point here is that predictions about the future made by professional scientists tend to be based much more substantially on the realities of scientific knowledge than those made by social critics, or even those by scientists of the past whose predictions were made before the fundamental scientific laws were completely known.
It is, I think, an important distinction between Visions, which concerns an emerging consensus among the scientists themselves, and the predictions in the popular press made almost exclusively by writers, journalists, sociologists, science fiction writers, and others who are consumers of technology, rather than by those who have helped to shape and create it. (One is reminded of the prediction made by Admiral William Leahy to President Truman in 1945: "That is the biggest fool thing we have ever done. . . . The [atomic] bomb will never go off, and I will speak as an expert in explosives." The admiral, like many "futurists" today, was substituting his own prejudices for the consensus of physicists working on the bomb.)
As a research physicist, I believe that physicists have been particularly successful at predicting the broad outlines of the future. Professionally, I work in one of the most fundamental areas of physics, the quest to complete Einstein's dream of a "theory of everything." As a result, I am constantly reminded of the ways in which quantum physics touches many of the key discoveries that shaped the twentieth century.
In the past, the track record of physicists has been formidable: we have been intimately involved with introducing a host of pivotal inventions (TV, radio, radar, X-rays, the transistor, the computer, the laser, the atomic bomb), decoding the DNA molecule, opening new dimensions in probing the body with PET, MRI, and CAT scans, and even designing the Internet and the World Wide Web. Physicists are by no means seers who can foretell the future (and we certainly haven't been spared our share of silly predictions!). Nonetheless, it is true that some of the shrewd observations and penetrating insights of leading physicists in the history of science have opened up entirely new fields.
There undoubtedly will be some astonishing surprises, twists of fate, and embarrassing gaps in this vision of the future: I will almost inevitably overlook some important inventions and discoveries of the twenty-first century. But by focusing on the interrelations between the three great scientific revolutions, and by consulting with the scientists who are actively bringing about this revolution and examining their discoveries, it is my hope that we can see the direction of science in the future with considerable insight and accuracy.
Over the past ten years, while working on this book, I have had the rare privilege of interviewing over 150 scientists, including a good many Nobel Laureates, in part during the course of preparing a weekly national science radio program and producing science commentaries.
These are the scientists who are tirelessly working in the trenches, who are laying the foundations of the twenty-first century, many of whom are opening up new avenues and vistas for scientific discovery. In these interviews, as well as through my own work and research, I was able to go back over the vast panorama of science laid out before me and draw from a wide variety of expertise and knowledge. These scientists have graciously opened their offices and their laboratories and shared their most intimate scientific ideas with me. In this book, I've tried to return the favor by capturing the raw excitement and vitality of their scientific discoveries, for it is essential to instill the romance and excitement of science in the general public, especially the young, if democracy is to remain a vibrant and resonating force in an increasingly technological and bewildering world.
The fact is that there is a rough consensus emerging among those engaged in research about how the future will evolve. Because the laws behind the quantum theory, computers, and molecular biology are now well established, it is possible for scientists to generally predict the paths of scientific progress in the future. This is the central reason why the predictions made here, I feel, are more accurate than those of the past.
What is emerging is the following.
The Three Pillars of Science
Matter. Life. The Mind.
These three elements form the pillars of modern science. Historians will most likely record that the crowning achievement of twentieth-century science was unraveling the basic components underlying these three pillars, culminating in the splitting of the nucleus of the atom, the decoding of the nucleus of the cell, and the development of the electronic computer. With our basic understanding of matter and life largely complete, we are witnessing the close of one of the great chapters in the history of science. (This does not mean that all the laws of these three pillars are completely known, only the most fundamental. For example, although the laws of electronic computers are well known, only some of the basic laws of artificial intelligence and the brain are known.)
The first of these twentieth-century revolutions was the quantum revolution, the most fundamental of all. It was the quantum revolution that later helped to spawn the two other great scientific revolutions, the biomolecular revolution and the computer revolution.
The Quantum Revolution
Since time immemorial, people have speculated what the world was made of. The Greeks thought that the universe was made of four elements: water, air, earth, and fire. The philosopher Democritus believed that even these could be broken down into smaller units, which he called "atoms." But attempts to explain how atoms could create the vast, wondrous diversity of matter we see in Nature always faltered. Even Newton, who discovered the cosmic laws which guided the motion of planets and moons, was at a loss to explain the bewildering nature of matter.
All this changed in 1925 with the birth of the quantum theory, which has unleashed a thundering tidal wave of scientific discovery that continues to surge unabated to this day. The quantum revolution has now given us an almost complete description of matter, allowing us to describe the seemingly infinite multiplicity of matter we see arrayed around us in terms of a handful of particles, in the same way that a richly decorated tapestry is woven from a few colored strands.
The quantum theory, created by Erwin Schr÷dinger, Werner Heisenberg, and many others, reduced the mystery of matter to a few postulates. First, that energy is not continuous, as the ancients thought, but occurs in discrete bundles, called "quanta." (The photon, for example, is a quantum or packet of light.) Second, that subatomic particles have both particle and wavelike qualities, obeying a well-defined equation, the celebrated Schr÷dinger wave equation, which determines the probability that certain events occur. With this equation, we can mathematically predict the properties of a wide variety of substances before creating them in the laboratory. The culmination of the quantum theory is the Standard Model, which can predict the properties of everything from tiny subatomic quarks to giant supernovas in outer space.
In the twentieth century, the quantum theory has given us the ability to understand the matter we see around us. In the next century, the quantum revolution may open the door to the next step: the ability to manipulate and choreograph new forms of matter, almost at will.
The Computer Revolution
ln the past, computers were mathematical curiosities; they were supremely clumsy, messy contraptions, consisting of a complex mass of gears, levers, and cogs. During World War II, mechanical computers were replaced by vacuum tubes, but they were also monstrous in size, filling up entire rooms with racks of thousands of vacuum tubes.
The turning point came in 1948, when scientists at Bell Laboratories discovered the transistor, which made possible the modern computer. A decade after that, the laser was discovered, which is essential to the Internet and the information highway. Both are quantum mechanical devices.
In the quantum theory, electricity can be understood as the movement of electrons, just as droplets of water can make a river. But one of the surprises of the quantum theory is that there are "bubbles" or "holes" in the current, corresponding to vacancies in electron states, which act as if they are electrons with positive charge. The motion of these currents of both holes and electrons allows transistors to amplify tiny electrical signals, which forms the basis of modern electronics.
Today, tens of millions of transistors can be crammed into an area the size of a fingernail. In the future, our lifestyles will be irrevocably changed when microchips become so plentiful that intelligent systems are dispersed by the millions into all parts of our environment.
In the past, we could only marvel at the precious phenomenon called intelligence; in the future, we will be able to manipulate it according to our wishes.
The Biomolecular Revolution
Historically, many biologists were influenced by the theory of "vitalism"--i.e., that a mysterious "life force" or substance animated living things. This view was challenged when Schr÷dinger, in his 1944 book What Is Life?, dared to claim that life could be explained by a "genetic code" written on the molecules within a cell. It was a bold idea: that the secret of life could be explained by using the quantum theory.
James Watson and Francis Crick, inspired by Schr÷dinger's book, eventually proved his conjecture by using X-ray crystallography. By analyzing the pattern of X-rays scattered off a DNA molecule, they were able to reconstruct the detailed atomic struc
Product details
- Publisher : Knopf Doubleday Publishing Group (September 15, 1998)
- Language : English
- Paperback : 416 pages
- ISBN-10 : 0385484992
- ISBN-13 : 978-0385484992
- Item Weight : 11.8 ounces
- Dimensions : 5.19 x 0.94 x 8 inches
- Best Sellers Rank: #957,215 in Books (See Top 100 in Books)
- #174 in Physics of Time (Books)
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About the author
Michio Kaku is the co-founder of String Field Theory and is the author of international best-selling books such as Hyperspace, Visions, and Beyond Einstein. Michio Kaku is the Henry Semat Professor in Theoretical Physics at the City University of New York.
Photo by Cristiano Sant´Anna/indicefoto.com for campuspartybrasil [CC BY-SA 2.0 (http://creativecommons.org/licenses/by-sa/2.0)], via Wikimedia Commons.
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Remember, in 1998 the internet was relatively new, dial-up connection speeds of 128 baud were considered fast, more people than not still had rabbit ears on their televisions. Michio Kaku posits that by 2010 we'll have flat screen televisions light enough to hang on a wall (there'll be competition between LCD and plasma models), cable companies will be taking over voice communication from the copper-wired telephone companies, movies will be available on demand on computers (once they break the 4Mbps barrier ... I just upgraded my home system to 40Mbps a few weeks ago), and a lot more that in fact has turned out to be absolutely true and correct. He doesn't use the term "the cloud" but he describes exactly what it is, and it's happening now. He's even pretty close on the timing.
Obviously the further you look into the future the harder it is to predict with accuracy. But Dr. Kaku has been so spot on during the first section that his credibility with the fascinating parts to follow is beyond question. Yes, he might be off on some things, but based on his earlier success he probably won't be off by much.
Another thing about this author is that although he's a Big Brain he can put things in terms easily grasped by us Merely Normals. The book isn't like a text book, it's like an inspirational speech. In short, fun to read.
So yeah, it's getting close to being old enough to want to borrow the keys to the car, but it's still quite viable, very readable, enjoyable and thought provoking. I read two to three books a week, mostly fiction, followed by history and biographies. This is the first "science" book I've read in several years and it's going to lead me to buy more, especially by this author. What better recommendation can anyone give than that?
... “In the past decade more scientific knowledge has been created than in all of human history.” We no longer need to be bystanders in the dance of Nature. We are ready to move “from being passive observers of Nature to being active choreographers of Nature.” We are moving from the Age of Discovery to the Age of Mastery. Regarding predictions of the future, K suggests he listen to those who create it. [When you want to build an airplane you consult the Wright brothers, not philosophers or ordinary dudes.] And there is an emerging consensus about the future. [6]
The 3 Pillars of Science – Matter, Life, and Mind
THE QUANTUM REVOLUTION
The QR spawned the other 2 revolutions. Until 1925 no one understood the world of the atom. But now we have almost a complete description of matter. The basic postulates are: 1) energy is not continuous but occurs in discrete bundles called “quanta;” 2) sub-atomic particles have both wave and particle characteristics and obey Schrodinger’s wave equation which determines the probability that certain events will occur. With the Standard Model we can predict the properties of things from quarks to supernovas. We now understand matter and we may be able to manipulate it almost at will in this century.
THE COMPUTER REVOLUTION
Cs were crude until the laser was developed in 1948, and a decade later the laser, both quantum mechanical devices. Today there are tens of millions of transistors into the area the size of a fingernail. As microchips become ubiquitous, life will change dramatically. We used to marvel at intelligence; in the future we may create and manipulate it.
THE BIOMOLECULAR REVOLUTION
There is a genetic code written on the molecules within the cells—DNA. The techniques of molecular biology allow us to read the code of life like a book. With the owner’s manual for human beings science and medicine will be irrevocably altered. Instead of watching life we will be able to manipulate it almost at will.”
FROM PASSIVE TO ACTIVE
In one sense Horgan is right; science has ended. [9] But we are moving from the unraveling stage to the mastering stage. We are like aliens from outer space who land and view a chess game. It takes a long time to unravel the rules but by careful observation one learns. But this doesn’t mean you are a grand master. We have just learned the rules of matter, life, and mind and now we need to become masters. We are moving from being amateurs to grand masters.
FROM REDUCTION TO SYNERGY
QT gave birth to the computer revolution via transistors and lasers; it gave birth to the biomolecular revolution via x-ray crystallography and the theory of chemical bonding. While reductionism and specialization paid great dividends for these disciplines, intractable problems in each have forced them back together, calling for synergy of the 3. Computers decipher Genes, but DNA research will make possible new computer architecture using organic molecules. K calls this “cross-fertilization,” and it will keep the pace of scientific advance accelerating.
THE WEALTH OF NATIONS
Wealth traditionally was with those who had natural resources or lots of capital. But brainpower, innovation, imagination, invention and new technologies will be the key to wealth in the future. The key technologies that serve as engines of wealth: [13]
TIME FRAMES FOR THE FUTURE
Now till 2020 – “scientists foresee an explosion in scientific activity such as the world has never seen before.” We will grow organs, cure cancer, etc.
2020-2050 – biotech – everything including aging, – physics – nanotech, interstellar travel, nuclear fusion.
2050-2100 – create new organisms, first space colonies.
Beyond 2100 – extend life by growing new organs and bodies, manipulating genes, or by merging with computers.
TOWARD A PLANETARY CIVILIZATION
Where is all this leading? One way to answer this question is to scan the heavens for advanced civilizations. Applying laws of thermodynamics and energy, astrophysicists have classified hypothetical civilizations based on ways they utilize energy—labeled Type I, II, and III civilizations.
Type I – mastery of terrestrial energy, ability to modify weather, mine oceans, extract energy from planet’s core. Harnessing the energy of the entire planet necessitates planetary cooperation.
Type II – mastery of stellar energy, use of the sun to drive their machines. They have begun to explore other stars. (The united federation of planets (star trek) is an emerging Type II civilization.
Type III – mastery of interstellar energy, since they have exhausted their stars energy.
Energy is available on the planet, its star and its galaxy. Based on a growth rate of about 3%, we can estimate when we might make the transition from one civilization to another.
We expect to become a Type I civilization in a century or 2
A Type II civilization in about 800 years. (ST is off a few hundred)
And a Type III in about 10,000 or more.
Right now we are a Type 0 civilization. We use dead plants for our machines but by then 22nd century Kaku predicts we will be getting close to a Type 1 civilization and taking our first steps into space.
THE INVISIBLE COMPUTER – (notes from Michio Kaku’s Visions: How Science Will Revolutionize the 21 Century)
“Long-term the PC and workstation will wither because computing access will be everywhere; in the walls, on wrists, and in ‘scrap computers’ (like scrap paper) lying about to be grabbed as needed.” – Mark Weiser, XEROX PARC
By the way, if you think this quote is futuristic, investigate the Xerox PARC’s (Palo Alto Research Center) great record of prediction. (Weiser was the former head of its Computer Science Laboratory.) As microchips become more powerful, smaller, and cheaper, the general consensus is that they “will quietly disappear by the thousands into the very fabric of our lives.” They will be in the walls, furniture, appliances, home, car, and in our jewelry. The computer will be more liberating and less demanding than it is today when it enters our environment rather than having us enter its. These devices will communicate with each other and tap into the internet, gradually becoming intelligent and anticipating our wishes, by comparison, the PC is just a computing appliance. A consensus is growing among computer experts: “Computers, instead of becoming the rapacious monsters featured in science fiction movies, will become so small and ubiquitous that they will be invisible, everywhere and nowhere, so powerful that they will disappear from view.”
THE DISAPPEARING PC
Weiser believes that the trend toward invisibility is built into the human psyche. When people learn about something well, they cease to be aware of it. Consider electric motors that were once huge and bulky, demanding entire factories. Now electricity is everywhere and motors are small and ubiquitous—more than 20 surround you in a typical car moving the windows, mirrors, radio dial, etc. Or consider writing. Once an art for scribes who wrote on clay tablets, writing was changed with the invention of paper. Still, paper was precious and used only by royalty. Most persons went their entire lives and never saw paper. Today paper is ubiquitous and most of it has writing on it. Weiser thinks we’ll go to the store to pick up six-packs of computer like we do (no, not beer) batteries today. If the trend of about 15 years from conception of an idea to its entering the market (the PC was built at Xerox in 1972 but caught the public’s fancy about 15 years later) then ubiquitous computing should begin to take hold around 2003. It may take until about 2010 until the it really catches the public’s fancy but by 2020 it should dominate our lives. (You’ll be about mid-forties. I’ll be, like lots of baby boomers a ubiquitous senior citizen.)
THREE PHASES OF COMPUTING
The history of computers is generally thought to be divided roughly into 3 stages. The first phase was dominated by the huge mainframes. Computers were so expensive that one computer was shared by hundreds of scientists and humans approached computers like ancient Greeks approached oracles. The second phase began in the early 70s when computing power was exploding and the size of chips imploding. At Xerox, the dream of one person per computer began to take shape; shortly thereafter the first PC was built. But complicated commands and manuals made PCs not very appealing—i.e., computers weren’t user-friendly. And thus they created a machine with pictures that you could just point too. (Of course Apple pirated this idea from Xerox and Microsoft pirated it from Apple. And during this transition the giants IBM, Wang, and Digital were changed forever. The dinosaur computers didn’t last. PS. There was no Dell, Compaq, etc.)
THE THIRD PHASE AND BEYOND
The third phase is ubiquitous computing, where computers are connected and the ratio is now hundreds of computers for each individual. This phase is expected to begin its decline in 2020 as silicon is replaced by new computer architecture. Some experts believe this will lead to the 4th phase, the intro of AI into computers. (Here AI means speech recognition, reasoning, and maybe common sense—still a long way from the conscious beings talk,) But the 5th phase is the self-aware, conscious phase. [Note how the evolution of culture is so obvious and the evolutionary model so applicable. This results, in my opinion, because cultural evolution goes so fast it is undeniable.]
MOORE’S LAW
Since 1950 there has been an increase in computer power by a factor of about TEN BILLION! Moore’s law explains this growth, computer power doubles every 18 months. This is a fantastic increase, greater than the transition from chemical explosives to hydrogen bombs. In the past 80 years computing power has increased by a factor of ONE TRILLION!! Thus, we can see how the 3rd phase of computing will be quickly upon us, especially when it is driven by economics and physics. The price of microprocessors plunges driving us into the 3rd phase. (A microchip that costs a dime now, will cost 2 cents ten years from now.) MP will be as cheap and plentiful as paper. When chips are so cheap the incentive will be to put them everywhere. (Right now musical greeting cards with chips have more c power than computers in 1950.) In the same way that almost everything has writing on it, everything will have penny processors. In addition to all of this economic incentive pushing us to the 3rd phase, we must understand the power or quantum theory.
WHAT DRIVES MOORE’S LAW?
The secret behind ML is of course the transistor—a valve that controls the flow of electricity—whose dynamics are governed by Q theory. The original Ts were about the size of a dime and connected by wires. Needless to say ML success is driven by the reduction is size of transistors. While we can put 7 million Ts on a chip the size of a postage stamp this reduction cannot continue forever—because of the limit of the wavelength of a light beam. New tech will be needed to continue this reduction.
SENSORS AND THE INVISIBLE COMPUTER
Paul Saffo, director of the Institute for Future, calls the 3rd phase “electronic ecology.” If the ecology of a forest for example is the collection of animals and plants that interact dynamically, then analogously we can speak of creatures in the EE. The EE changes when tech advance is made. In the 80s it was the microchip, in the 90s the Internet was driven by the power of MP and cheap lasers. [about 5 years ago I’m at the faculty meeting of the small college I taught at. A chemistry teacher, in fact the same one who the lawyer didn’t want on the jury, told the faculty that her kids were doing things on the internet and we needed to have email and make the college more tech savvy. I swear, and this is 5 years ago, ½ the faculty didn’t know what she was talking about.]
Saffo thinks the 3rd phase will be driven “by cheap sensors coupled to microprocessors and lasers … we will be surrounded by tiny, MPs sensing our presence, anticipating our wishes, even reading our emotions. And these MPs will be connected to the Internet.” In this electronic forest our moods will be sensed the way toilets sense our presence. But note that a meteorite can hit me right now and my PC will still be waiting for me to continue …
Writing these class notes! Dumb thing! But the Cs of the future will sense the world around them using sound and the electromagnetic spectrum. Sensors will pick up our voice commands [no more carpel tunnel syndrome?] hidden video cameras will locate our presence and recognize our faces, smart cars will use radar to detect the presence of other cars, etc.
THE SMART OFFICE AND HOME OF THE FUTURE
The smart office will include TABS, tiny clip on badges with the power of a PC, allowing for doors to open, lights to go on, communication with other employees, connection to the Internet, etc. [StarFleet com badge.] PADS, about the size of a piece of paper will be a fully operational PC, the beginning of smart paper. BOARDS will be about the size of TV screens and hung on walls will be used for teleconferencing, as bulletin boards, interactive tv, etc. And the home will detect bad weather and warn family members, the bathroom will diagnose illness, etc. [the only thing about this office is why have an office, why not just use all of this from home?]
THE MIT MEDIA LAB
The director of the things that think project, Neil Gershenfeld, imagines when inanimate objects will all think. G has discovered that the space around our bodies is filled by an invisible electric field generated by electrons which accumulate on our skin like static electricity, and when we move this “aura” moves with us. Since we now have sensors that detect this field, the location of our hands and arms and legs can be detected. What this means is that we have a powerful new way to interact with computers that would be better than using a mouse and a way to make virtual reality much better. Essentially, G wants to animate empty space. G is particularly interested in animating our shoes, where 1 watt of energy could easily be drawn. And, if we put an electrode in our shoes we could transfer data from our shoe to say our hand—the body is salty and conducts electricity—and when we sake hands we could exchange computer files. This leads us to the Things That Think Labs motto:
In the past, shoes could stink.
In the present, shoes can blink.]
In the future, shoes will think.
THE INTELLIGENT PLANET (Chap 3 of Kaku’s Visions: …)
The 3rd phase of C is creating “a vibrant electronic membrane girding the earth’s surface … [the net] like a dirt road waiting to be paved over into an information superhighway, is rapidly wiring up the computers of the world.”
And when we enter the 4th phase, when AI programs are added to the Net, we will communicate with the Net AS IF it were intelligent. We will talk to the Net in our wall screen or tie accessing the entire info of the planet. And this screen may have a personality, be a confidant, aide, and secretary simultaneously. Like in Disney movies, the teapots and coffee cups will talk to each other and to us.
WHY NO POLICE? – Yet the Net today is chaotic—no directories to speak of, no rules, etc. There are many theories of why the Net took shape in this haphazard way—most notably the secrecy surrounding the Cold war—but the net has taken off.
HOW THE NET AND OTHER TECHS CAME ABOUT – In 1977 important members of the Carter administration were considering how to protect the President and themselves in the event of all out nuclear war. To make the story short, it became apparent that the whole proposed plan was a fiasco, causing the Pentagon’s researches to propose several techs to compensate. Among which were: teleconferencing, virtual reality (flight simulators), GPS, & e-mail. Scientists, who would have to re-build the country fast after all out nuclear war needed something fast wo/rules—the ARPANET—which became the Net.
THE MOTHER OF ALL NETS – In 1844 Morse sent the 1st telegraph message, in 1961 UCLA and Stanford connected their Cs. 10 years later there were only 2 dozen sites, and by 1981 only 200. It wasn’t until 1990 that the critical masses was reached that the reached the public and began to take off and the WWW was created in Geneva in 91. Now the Net grows 20% per QUARTER. This exceeds the growth rate of computers and we have 10 mil servers and 40 mil users. [whoops the book is 1997—the figure is now at least 160 mil users—EVOLUTION.] Most experts think the Net will be as big as the phone system by 2005 or before, and, with the merger of TV possible soon, 99% of all US homes may be linked to the Net in the next few years. Finally, consider this: In 1996 there were 70 million pages of info on the Net; but buy 2020 the net should access “the sum total of the human experience on this planet, the collective knowledge and wisdom of the past 5,000 years of recorded history.”
THE HISTORICAL SIGNIFICANCE OF THE NET – The Net can be compared to Gutenberg’s PP of the 1450s. For the first time books could reach a mass audience. Before G there were about 30,000 books in all of Europe! By 1500 there were more than 9 million. [Roughly the size of UT's collection.] Of course there have been tech that failed to reach critical mass—picture phones, CB radios—but the Nets subject matter, all of human knowledge easily available, suggest that it will not become extinct.
TO 2020: HOW THE NET WILL SHAPE OUR LIVES – The Net will allow us to work from home, bring specialized hobbyists from around the world together, enjoy the cyber marketplace, etc. On line bookstores, brokerage firms, banking, and travel agencies will light up the net. [this was written in 97 and all of this has come true, and the rest of this section, written a few years ago as futuristic is already "old hat."]
BOTTLENECKS ON THE NET – Still all of know about bandwidth problems, interface issues, and the needed creation of personalized agents and filters. [Yes, in this book the problems of FAST 28K modems are discussed –EVOLUTION.] Alternatives to copper wires are of course satellites, cables [wow, where did I get my RR?] and fiber optics. As far as interface bottlenecks—screens and voice inputs—well we need digital TV to create the Magic Mirror.
THE MERGER OF TV AND THE NET – Of course YALL know that in 96 the FCC and TV giants agreed to go analog which doubles the resolution. In short, TVs of the future will be connected to the Net, making TV interactive. But TVs may well be replaced shortly thereafter by …
WALL SCREENS – TV screens flat enough to hang like pictures of small enough to fit in your watch.
SPEECH RECOGNITION – Machines can already recognize human speech, but they don’t understand what they are hearing unless one speaks pretty slowly. However, most of the basic difficulties should be solved in the next few years. Still, hearing is not understanding and it would take very good AI for real comprehension. This problem may have to wait until the 4th phase of computing, between 2020 and 2050 when we have good AI.
FROM THE PRESENT TO 2020: INTELLIGENT AGENTS – In the meantime, we are working on intelligent agents—programs that can make primitive decisions and act as filters, distinguishing between junk and valuable material. IA may be particularly good at gathering info we want and saving us the time of searching for it—a good research asst!
2020-2050: GAMES AND EXPERT SYSTEMS – After IA is HEURISTICS, the branch of AI that tries to codify logic and intelligence with a series of rules. H would allow us to speak to computerized doctors, lawyers, etc who would answer tech questions. [Chess playing Cs are good examples of H.] ES are H programs that contain the knowledge of a number of human experts and dissect problems like we do. Consider going to the doctor where you receive a series of if…then questions that lead to diagnosis. This task can be done by ES. It is easy to see that the comprehensive and methodical nature of an ES would be better than a human physician. However, ES have traditionally lacked the common sense of a child.
COMMON SENSE IS NOT SO COMMON – The problem with today’s Cs is that they are glorified adding machines. They are marvelous at mathematical logic, but very poor with physics and biology. They have trouble with the concept of time for example. S and J are twins and S is 20 years old so how old is J? This is a tough problem for a C. Or consider this conversation: Human: Ducks fly, Chuck is a duck. C: Chuck can fly. Human: Chuck is dead. C: Chuck is dead and can fly.
That dead things don’t fly is not obvious from the laws of logic.
THE ENCYCLOPEDIA OF COMMON SENSE – Some have advocated creating an EOCS containing all the rules of CS. If CS programs are loaded into Cs, intelligent conversation is much more possible. For example Cs need to know: Nothing can be in 2 places at the same time When humans die they aren’t born again Dying is undesirable Animals don’t like pain Time advances at the same rate for everyone When it rains people get wet – ETC.
As of 97, a project to do this had accumulated 10 million assertions. But the task is extraordinarily difficult. [again, wouldn't it be simpler to take what we have, in this case brains with common sense, and build some of the computer ability into us thru genetic engineering?] For ex, it took 3 months for a C programmed with CS to understand “Napoleon died on St. Helen’s. Wellington was saddened.” In short AI, in whatever form it takes, has a long way to go.
A WEEK IN THE LIFE IN 2020 – A face on the wall says wake up dear. As you walk to the kitchen the appliances sense your presence and the coffee starts brewing, bread is toasted, while your favorite Bach concerto plays softly. Molly has printed out a version of the paper that you are especially interested in by scanning the web, and as you leave the kitchen it reminds you you need milk and that you’re out of computers. Before you leave you tell the robot to vacuum. You drive to work in your hybrid, smart cars, whizzing by a toll booth that scans your smart car. At work you insert your wallet card into the computer to pay your bills, have a few video conferences, and head home. You get home, connect with your virtual dr who tells you that he will zap out a few cancer cells with smart molecules so you don’t get cancer in 10 years. You head off to your party where Molly tells you who everyone is from a transmitter in your glasses. You drink too much and Molly won’t let you drive your car. [I guess it isn't quite smart enough yet.] etc. etc.
MIT’s famed AI lab is “a high-tech version of Santa’s workshop.” K begins by focusing on research that is NOT interested in creating creatures who play chess but INSECTOIDS and BUGBOTS, small insect like creations with the ability to learn by bumping into things, crawling around, etc. The idea is that while insects can’t play chess they get along quite well in your home.
This biology-based approach is termed the BOTTOM UP school. The inspiration for this school is evol which has produced complexity from simple structures. In short, the idea is that “learning is everything; logic and programming are nothing. [This seems to overstate the case even in terms of evolution. We learn from our environment, but our programming—cognitive structures in place at birth—are clearly essential.] Still, AI may be immensely enriched by interplay with the insights of the biomolecular and quantum revolutions. K mentions how many physicists have moved from superstring theory and quantum gravity to brain research as an example of the interplay between the 3 big revolutions.
On the other side of the debate is the TOP DOWN school. The digital C provides their model of thinking machines: “They assumed that thinking … would emerge fully developed from a computer.” Their strategy is to put (program) the rules of logic and intelligence directly into the machine, along with subroutines for speech, vision, etc. and you’d have an int robot. Of course this is based on the idea that int can be simulated by a Turing machine. K argues that the problem here is that the TD school underestimated “the enormity of writing down the complete road map of human int.” The 2 camps are often at odds with the one arguing that the BU robots may get from here to there but won’t know what to do when they get there; while the other replies that the TD computes play chess but don’t know how to take a walk. Most feel that some combination of the 2 approaches will lead us onward.
PREPROGRAMMED ROBOTS – Since it may be 20 years or more until the creations at the MIT lab enter the marketplace, what will see immediately are “increasingly sophisticated industrial robots.” From 2020 to 2050 we should enter the 4th phase of computing “when intelligent automatons begin to walk the earth …” Beyond 2050 we will enter the 5th phase of “robots of consciousness and self-awareness.”
To better understand all of this, consider the difference between industrial or remote- controlled robots—just preprogrammed windup toys—and the more sophisticated versions to come. K, quoting M, describes the evolution of these techs.
2000-10 – develop into reliable helpers in factories, hospitals, and homes. (Volks-robots) 2010-20 – these robots replaced by machines that learn from their mistakes.
2020-2050 ROBOTICS AND THE BRAIN – One of the big problems in robotics is the problem of PATTERN RECOGNITION. Robots can see, but don’t understand what they see. Part of the problem, that we have so much trouble duplicating pattern recognition is that our understanding of our brains is primitive.
We do know that our brain is layered which reflects its evol development. Nature preserves its older forms creating a museum of our evol history. The first layer of the brain is the “neural chassis” controlling basic functions like respiration, heartbeat, and blood circulation. It consists of brain stem, spinal cord, and midbrain. The second layer is the R-complex controlling aggression, territoriality, and social hierarchies. The so-called “reptilian brain.” Surrounding this is the limbic system which is found in mammals. It controls emotions, social behavior, smell, and memory. This was necessary because mammals live in complex social groups. Lastly, is the neocortex which controls reason, language, spatial perception and other higher functions. Humans have wrinkles on the cerebral cortex increasing the surface area.
Today’s robots possess only the first layer of brain, so there is a long way to go. But experts such as Miguel Virasoro, one of the most famous physicists in the world, believe that microchips will eventually approach the computing power of human brains. Right now the Cray-3 processes at 100 million bits per second, about the speed of a rats brain. Estimates are that the human brain calculates 1000 times faster than this, but, if Mlaw continues to hold, supercomputers should match humans around 2020 and desktops by 2040. But V objects to this whole TD approach since he argues that the brain is NOT a Turing Machine, it’s not even a computer. Thus, faster computers will not duplicate human brains.
V argues for his thesis as follows: The brain has about 200 billion neurons which fire 10 million billion times per second. The nerve impulses travel very slow—300 feet per second—but the complexity of the brain’s neural connections compensates. Since each neuron is connected to 10,000 other neurons the brain is a PARALLEL PROCESSOR which carries out trillions of operations per second and yet is powered by the energy of a lightbulb—that’s efficiency. Cs calculate at nearly the speed of light but perform ONE calculation at a time. The brain calculates slowly but performs trillions of computations per second. And while a brain can have a part of itself damaged and still function, a Turing machine can be destroyed by the loss of a single transistor. Since the brain is a complex Nnet, the BU approach is the only one that will work.
TALKING ROBOTS – NETalk is a neural network that has learned to speak English almost from scratch. Rather than using the TD approach and stuffing a program with dictionaries, phonics rules, exceptions to grammar rules, etc. a simple neural net was created that learned from its mistakes. While the difference between real and model neurons is immense the fact that a simple neural net can speak suggests “that perhaps human abilities can be simulated by electronics.”
ROBOTICS MEETS QUANTUM PHYSICS – There has been a migration from QP to brain research. Physics is different than biology, the former looks for simple elegant solutions while the later is messy, inelegant and full of dead ends. The former is based on universal laws, the latter has only the law of evolution as its universal law. Physicists wonder if there are any fundamental principles behind AI, like there are in physics which led to questions like “Can a neuron in the brain be treated like an atom in a lattice?” [I think he's looking for a unifying principle in the brain like QP provides the organizing principles in solid-state physics.]
Thus, while the TD school held that mind was a complicated program inserted into a computer, The BU suggested that mind arose “from the quantum theory of mindless atoms, without any programs whatsoever!” The founding father of the NN field, John Hopenfield, summarized it as follows: Ind atoms in a solid can exist in a few discrete states—spin up or down—and neurons simila
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I am not a scientist who has been keeping track of all progress in science. I am reading the book written in 1998. I was thrilled to read and capture some ideas, Some of the predictions might have been abandoned and some might have moved ahead. I like to to read the authors fact sheet so that we are upto date in knowledge, That should be an interesting follow up.
Y V S R SASTRY