Robots Technology Quotes

Even now, despite Angeline's watchfulness, she'd occasionally oscillate between random topics, like how shepherd's pie wasn't a pie at all and why it was pointless for her to take class in typing when technology would eventually develop robot companions to do it for us.

Let’s get to know each other. My name’s William, William More, but you can call me Willy. I’m an engineer-chemist who graduated from MIT. So . . . but you’re all alike to me . . . of course, you would be . . . you’re robots. And all your names are that sort of, um . . . codes, technical numbers . . . I need some marker where I can pick you out. Well, well, to you I’ll call . . .,” and Willy pondered for a moment, “Gumball, yes, Gumball! Do you mind?” “No, sir, actually no,” CSE-TR-03 said, agreeing with its new given name. “Ah, that’s wonderful. And then you’re Darwin,” Willy said, accosting the second robot. “Look what a nice name—Darwin! What do you say, eh?” “What can I say, sir? I like it,” CSE-TR-02 agreed too. “Yes, a human name with a past . . . You and Gumball . . . are from the same family, the Methanesons!” “It turns out thus, sir,” Darwin confirmed its family belonging. “And you’re like Larry. You’re Larry. Do you know that?” More addressed the next robot in line. “Yes, sir, just now I learned that,” the third robot said, accepted its name as well.

What chilled my blood was a felt marker outline of a woman on the wall. Hands above the head, where there was a hook, then below the shape of the head, a neck strap. Then a waist strap, and two ankle clamps. The silhouette gave me no doubt that Gina had been confined here. But where was she now?

I envisaged a perfect detective’s assistant. She’d have long, wavy blonde hair, a short skirt, and curves in all the right places. She’d have a genius IQ, know how to hack and code, and be available at all hours. Now, make her into a robot. Sadly, I mentally removed her body, leaving a phone app.

Science Fiction, is the last great escape.

I had a close encounter with an alien last week. He returned to visit us and was amazed we were still here.

One of the biggest mistakes we made was trying to automate things that are super easy for a person to do, but super hard for a robot to do.

As the boat filled and capsized, the aluminum boom flew across the cockpit and hit the side of Tiger’s head. The world was cold, blue, and shimmering. Thoughts swam through her mind like a school of tropical fish, moving in unison then darting off in all directions.

Pythagoras has had me going round in circles for years.” ― Anthony Merrydew

Thinking is a human feature. Will AI someday really think? That's like asking if submarines swim. If you call it swimming then robots will think, yes.

Of course it didn’t make sense… knowledge was finite, imagination was not.

He was not a tall man, but he was wide. His face was the color and texture of old leather boots, and he was completely bald except for a gray walrus mustache that would have made Hulk Hogan jealous. He was wearing jeans and a T-shirt, even though it was chilly and wet. His arms were densely tattooed in style I didn’t recognize.

Technology is seductive when what it offers meets our human vulnerabilities. And as it turns out, we are very vulnerable indeed. We are lonely but fearful of intimacy. Digital connections and the sociable robot may offer the illusion of companionship without the demands of friendship. Our networked life allows us to hide from each other, even as we are tethered to each other. We’d rather text than talk.

I slammed the door, floored the throttle, and reversed down the road as fast as the old car would go, which was not very. Then I spun the wheel and hit the brakes, backing off the road. I crunched the transfer lever into four-wheel drive and trundled off toward the water. Behind us, the pickup was backing and filling, trying to turn around on the narrow road.

This is not a race against the machines. If we race against them, we lose. This is a race with the machines. You’ll be paid in the future based on how well you work with robots. Ninety percent of your coworkers will be unseen machines.

I find it somewhat ironic that many conservatives in the United States are adamant about securing the border against immigrants who will likely take jobs that few Americans want, while at the same time expressing little concern that the virtual border is left completely open to higher-skill workers who take jobs that Americans definitely do want.

Technology is not a form of robotics but something very human: the creation of tools and techniques that answer certain uses in our lives.

A 2013 report from the Oxford Martin School concludes that 45 percent of American jobs are at high risk of being taken by computers (AI and robots) within the next two decades.

Any technological advance can be dangerous. Fire was dangerous from the start, and so (even more so) was speech—and both are still dangerous to this day—but human beings would not be human without them.

When I started reading the literature of molecular biology, I was stunned by certain descriptions. Admittedly, I was on the lookout for anything unusual, as my investigation had led me to consider that DNA and its cellular machinery truly were an extremely sophisticated technology of cosmic origin. But as I pored over thousands of pages of biological texts, I discovered a world of science fiction that seemed to confirm my hypothesis. Proteins and enzymes were described as 'miniature robots,' ribosomes were 'molecular computers,' cells were 'factories,' DNA itself was a 'text,' a 'program,' a 'language,' or 'data.' One only had to do a literal reading of contemporary biology to reach shattering conclusions; yet most authors display a total lack of astonishment and seem to consider that life is merely 'a normal physiochemical phenomenon.

Imagine the uproar when Uber’s cars start arriving without drivers.

There is no economic law that says that everyone, or even most people, automatically benefit from technological progress.

Unfortunately robots capable of manufacturing robots do not exist. That would be the philosopher's stone, the squaring of the circle.

Knowing the ideological predisposition of a particular economist is often a better predictor of what that individual is likely to say than anything contained in the data under examination.

Humanity came out of hell, Darrow. Gold did not rise out of chance. We rose out of necessity. Out of chaos, born from a species that devoured its planet instead of investing in the future. Pleasure over all, damn the consequences. The brightest minds enslaved to an economy that demanded toys instead of space exploration or technologies that could revolutionize our race. They created robots, neutering the work ethic of mankind, creating generations of entitled locusts. Countries hoarded their resources, suspicious of one another. There grew to be twenty different factions with nuclear weapons. Twenty—each ruled by greed or zealotry. “So when we conquered mankind, it wasn’t for greed. It wasn’t for glory. It was to save our race. It was to still the chaos, to create order, to sharpen mankind to one purpose—ensuring our future. The Colors are the spine of that aim. Allow the hierarchies to shift and the order begins to crumble. Mankind will not aspire to be great. Men will aspire to be great.

Man is to technology what the bee is to the flower. It’s man’s intervention that allows technology to expand and evolve itself and in return, technology offers man convenience, wealth and the lessening burden of physical labor via its automated systems.

In 2012, Google, for example, generated a profit of nearly $14 billion while employing fewer than 38,000 people.9 Contrast that with the automotive industry. At peak employment in 1979, General Motors alone had nearly 840,000 workers but earned only about $11 billion—20 percent less than what Google raked in. And, yes, that’s after adjusting for inflation.

Everyone can enjoy a life of luxurious leisure if the machine-produced [robots] wealth is shared, or most people can end up miserably poor if the machine-owners successfully lobby against wealth redistribution. So far, the trend seems to be toward the second option, with technology driving ever-increasing inequality.

Old robots are becoming more human and young humans are becoming more like robots.

Future artificial intelligence is more focused on compassionate, caring, and creative intelligence than just hard intelligence.

acquiring more education and skills will not necessarily offer effective protection against job automation

But this is not a book about robots. Rather, it is about how we are changed as technology offers us substitutes for connecting with each other face-to-face.

What will we be doing, when everything that can be done, can be done better by robots?

With the exponential improvement in technology, the destiny of humanity should move towards more collaboration, more generosity, more freedom, more caring and more fulfilling life for everyone, and not nuclear annihilation.

Each Voyager is itself a message. In their exploratory intent, in the lofty ambition of their objectives, in their utter lack of intent to do harm, and in the brilliance of their design and performance, these robots speak eloquently for us.

Cool technology alone is not enough. If it were, we’d all be riding Segways and playing with robotic dogs.

What will happen if our labor is no longer needed? If jobs for warehouse workers, garbage collectors, doctors, lawyers, and journalists are displaced by technology?

The evaporation of thousands of skilled information technology jobs is likely a precursor for a much more wide-ranging impact on knowledge-based employment.

Future technologies of Artificial Intelligence will be more and more empowered by the Compassionate Creative Intelligence not just by the hard intelligence.

Why do I feel so exhausted all the time", the twenty years old guy asked, "You are living among robots embodied in human skin", his shadow replied.

...we are changed as technology offers us substitutes for connecting with each other face-to-face. We are offered robots and a whole world of machine-mediated relationships on networked devices. As we instant-message, e-mail, text, and Twitter, technology redraws the boundaries between intimacy and solitude. We talk of getting “rid” of our e-mails, as though these notes are so much excess baggage. Teenagers avoid making telephone calls, fearful that they “reveal too much.” They would rather text than talk. Adults, too, choose keyboards over the human voice. It is more efficient, they say. Things that happen in “real time” take too much time. Tethered to technology, we are shaken when that world “unplugged” does not signify, does not satisfy. After an evening of avatar-to avatar talk in a networked game, we feel, at one moment, in possession of a full social life and, in the next, curiously isolated, in tenuous complicity with strangers. We build a following on Facebook or MySpace and wonder to what degree our followers are friends. We recreate ourselves as online personae and give ourselves new bodies, homes, jobs, and romances. Yet, suddenly, in the half-light of virtual community, we may feel utterly alone. As we distribute ourselves, we may abandon ourselves. Sometimes people experience no sense of having communicated after hours of connection. And they report feelings of closeness when they are paying little attention. In all of this, there is a nagging question: Does virtual intimacy degrade our experience of the other kind and, indeed, of all encounters, of any kind?

Another principle that I believe can be justified by scientific evidence so far is that nobody is going to emigrate from this planet not ever....It will be far cheaper, and entail no risk to human life, to explore space with robots. The technology is already well along....the real thrill will be in learning in detail what is out there...It is an especially dangerous delusion if we see emigration into space as a solution to be taken when we have used up this planet....Earth, by the twenty-second century, can be turned, if we so wish, into a permanent paradise for human beings...

a great many college-educated, white-collar workers are going to discover that their jobs, too, are squarely in the sights as software automation and predictive algorithms advance rapidly in capability.

Nearly 90 percent of fast food workers are twenty or older, and the average age is thirty-five.17 Many of these older workers have to support families—a nearly impossible task at a median wage of just $8.69 per hour.

The nearly perfect historical correlation between increasing productivity and rising incomes broke down: wages for most Americans stagnated and, for many workers, even declined; income inequality soared to levels not seen since the eve of the 1929 stock market crash; and a new phrase—“jobless recovery”—found a prominent place in our vocabulary.

In this, there is a strong cautionary note as we look to the future: as IT continues its relentless progress, we can be certain that financial innovators, in the absence of regulations that constrain them, will find ways to leverage all those new capabilities—and, if history is any guide, it won’t necessarily be in ways that benefit society as a whole.

Indeed, a 2013 study by Carl Benedikt Frey and Michael A. Osborne at the University of Oxford concluded that occupations amounting to nearly half of US total employment may be vulnerable to automation within roughly the next two decades.59

As of 2013, a typical production or nonsupervisory worker earned about 13 percent less than in 1973 (after adjusting for inflation), even as productivity rose by 107 percent and the costs of big-ticket items like housing, education, and health care have soared.1

As infants, we see the world in parts. There is the good—the things that feed and nourish us. There is the bad—the things that frustrate or deny us. As children mature, they come to see the world in more complex ways, realizing, for example, that beyond black and white, there are shades of gray. The same mother who feeds us may sometimes have no milk. Over time, we transform a collection of parts into a comprehension of wholes.4 With this integration, we learn to tolerate disappointment and ambiguity. And we learn that to sustain realistic relationships, one must accept others in their complexity. When we imagine a robot as a true companion, there is no need to do any of this work.

The Protocol. Silence. A choice made generations ago to wipe out violence, but that had also succeeded in wiping out joy, laughter, and love. It had made the Psy an emotionless, robotic race that excelled in business and technology but produced no forms of art, no great music, no works of literature.

profit of nearly $14 billion while employing fewer than 38,000 people.9 Contrast that with the automotive industry. At peak employment in 1979, General Motors alone had nearly 840,000 workers but earned only about $11 billion—20 percent less than what Google raked in. And, yes, that’s after adjusting

I don’t believe in boundaries, either for what we can do in our personal lives or for what life and intelligence can accomplish in our universe. We stand at a threshold of important discoveries in all areas of science. Without doubt, our world will change enormously in the next fifty years. We will find out what happened at the Big Bang. We will come to understand how life began on Earth. We may even discover whether life exists elsewhere in the universe. While the chances of communicating with an intelligent extra-terrestrial species may be slim, the importance of such a discovery means we must not give up trying. We will continue to explore our cosmic habitat, sending robots and humans into space. We cannot continue to look inwards at ourselves on a small and increasingly polluted and overcrowded planet. Through scientific endeavour and technological innovation, we must look outwards to the wider universe, while also striving to fix the problems on Earth. And I am optimistic that we will ultimately create viable habitats for the human race on other planets. We will transcend the Earth and learn to exist in space. This is not the end of the story, but just the beginning of what I hope will be billions of years of life flourishing in the cosmos. And one final point—we never really know where the next great scientific discovery will come from, nor who will make it. Opening up the thrill and wonder of scientific discovery, creating innovative and accessible ways to reach out to the widest young audience possible, greatly increases the chances of finding and inspiring the new Einstein. Wherever she might be. So remember to look up at the stars and not down at your feet. Try to make sense of what you see and wonder about what makes the universe exist. Be curious. And however difficult life may seem, there is always something you can do and succeed at. It matters that you don’t just give up. Unleash your imagination. Shape the future.

We eventually will have to move away from the idea that workers support retirees and pay for social programs, and instead adopt the premise that our overall economy supports these things. Economic growth, after all, has significantly outpaced the rate at which new jobs have been created and wages have been rising.

impact of technology on these kinds of jobs, you are very likely to encounter the phrase “freed up”—as in, workers who lose their low-skill jobs will be freed up to pursue more training and better opportunities. The fundamental assumption, of course, is that a dynamic economy like the United States will always be capable of generating sufficient higher-wage, higher-skill jobs to absorb all those newly freed up workers—given that they succeed in acquiring the necessary training.

As the creators of sophisticated technologies, we have made ourselves increasingly machine-like; robotic servants of institutional systems we have been conditioned to revere, whose purposes we neither understand nor control, and of which we are afraid to ask questions. Our corporate-state world plunders, enslaves, controls and destroys us, all in the name of advancing our liberty and material well-being. Most of us are dominated by an unfocused fear of uncertainty, a longing for the security of emptiness.

potentially unlimited output can be achieved by systems of machines which will require little cooperation from human beings.”3 The result would be massive unemployment, soaring inequality, and, ultimately, falling demand for goods and services as consumers increasingly lacked the purchasing power necessary to continue driving economic growth.

Right now we think of manufacturing as happening in China. But as manufacturing costs sink because of robots, the costs of transportation become a far greater factor than the cost of production. Nearby will be cheap. So we’ll get this network of locally franchised factories, where most things will be made within five miles of where they are needed.

In the late nineteenth century, nearly half of all US workers were employed on farms; by 2000 that fraction had fallen below 2 percent.

machines themselves are turning into workers, and the line between the capability of labor and capital is blurring as never before.

The Singularity itself will occur some time around 2045.

Lanier

colossal, billion-dollar data center built by Apple, Inc., in the town of Maiden, North Carolina, had created only fifty full-time positions.

This S-shaped path in which accelerating—or exponential—advance ultimately matures into a plateau effectively illustrates the life story of virtually all specific technologies.

Not only does Japan have an economic need and the technological know-how for robots, but it also has a cultural predisposition. The ancient Shinto religion, practiced by 80 percent of Japanese, includes a belief in animism, which holds that both objects and human beings have spirits. As a result, Japanese culture tends to be more accepting of robot companions as actual companions than is Western culture, which views robots as soulless machines. In a culture where the inanimate can be considered to be just as alive as the animate, robots

In a recent analysis, Martin Grötschel of the Zuse Institute in Berlin found that, using the computers and software that existed in 1982, it would have taken a full eighty-two years to solve a particularly complex production planning problem. As of 2003, the same problem could be solved in about a minute—an improvement by a factor of around 43 million. Computer hardware became about 1,000 times faster over the same period, which means that improvements in the algorithms used accounted for approximately a 43,000-fold increase in performance.

Many California farmers have transitioned from delicate crops like tomatoes to more robust nuts because they can be harvested mechanically. Overall agricultural employment in California fell by about 11 percent in the first decade of the twenty-first century, even as the total production of crops like almonds, which are compatible with automated farming techniques, has exploded.

Sometime during the 1960s, the Nobel laureate economist Milton Friedman was consulting with the government of a developing Asian nation. Friedman was taken to a large-scale public works project, where he was surprised to see large numbers of workers wielding shovels, but very few bulldozers, tractors, or other heavy earth-moving equipment. When asked about this, the government official in charge explained that the project was intended as a “jobs program.” Friedman’s caustic reply has become famous: “So then, why not give the workers spoons instead of shovels?” Friedman

In fact, advancing technology has already had a dramatic impact on Chinese factory jobs; between 1995 and 2002 China lost about 15 percent of its manufacturing workforce, or about 16 million jobs.9

If you want a glimpse of what we humans do when the robots take our current jobs, look at experiences. That’s where we’ll spend our money (because they won’t be free) and that’s where we’ll make our money. We’ll

Within weeks of the product’s introduction, both university-based engineering teams and do-it-yourself innovators had hacked into the Kinect and posted YouTube videos of robots that were now able to see in three dimensions.4

However, one intriguing shift that suggests there are limits to automation was the recent decision by Toyota to systematically put working humans back into the manufacturing process. In quality and manufacturing on a mass scale, Toyota has been a global leader in automation technologies based on the corporate philosophy of kaizen (Japanese for “good change”) or continuous improvement. After pushing its automation processes toward lights-out manufacturing, the company realized that automated factories do not improve themselves. Once Toyota had extraordinary craftsmen that were known as Kami-sama, or “gods” who had the ability to make anything, according to Toyota president Akio Toyoda.49 The craftsmen also had the human ability to act creatively and thus improve the manufacturing process. Now, to add flexibility and creativity back into their factories, Toyota chose to restore a hundred “manual-intensive” workspaces.

Indeed, a 2013 study by Carl Benedikt Frey and Michael A. Osborne at the University of Oxford concluded that occupations amounting to nearly half of US total employment may be vulnerable to automation within roughly the next two decades.

Growth in median incomes during this period tracked nearly perfectly with per capita GDP. Three decades later, median household income had increased to about $61,000, an increase of just 22 percent. That growth, however, was driven largely by the entry of women into the workforce. If incomes had moved in lockstep with economic growth—as was the case prior to 1973—the median household would today be earning well in excess of $90,000, over 50 percent more than the $61,000 they do earn.

What I’ve got here are my own constraints. I’m challenging myself, using found objects and making stuff that throws all this computational capacity at, you know, these trivial problems, like car-driving Elmo clusters and seashell toaster-robots. We have so much capacity that the trivia expands to fill it. And all that capacity is junk-capacity, it’s leftovers. There’s enough computational capacity in a junkyard to launch a space-program, and that’s by design. Remember the iPod? Why do you think it was so prone to scratching and going all gunky after a year in your pocket? Why would Apple build a handheld technology out of materials that turned to shit if you looked at them cross-eyed? It’s because the iPod was only meant to last a year!

the American workforce—earned about $767 per week in 1973. The following year, real average wages began a precipitous decline from which they would never fully recover. A full four decades later, a similar worker earns just $664, a decline of about 13 percent.

I do not see anything especially dystopian in offering some relatively unproductive people a minimum income as an incentive to leave the workforce. As long as the result is more opportunity and higher incomes for those who do want to work hard and advance their situation.

Edmond persuasively described a future where technology had become so inexpensive and ubiquitous that it erased the gap between the haves and the have-nots. A future where environmental technologies provided billions of people with drinking water, nutritious food, and access to clean energy. A future where diseases like Edmond’s cancer were eradicated, thanks to genomic medicine. A future where the awesome power of the Internet was finally harnessed for education, even in the most remote corners of the world. A future where assembly-line robotics would free workers from mind-numbing jobs so they could pursue more rewarding fields that would open up in areas not yet imagined. And, above all, a future in which breakthrough technologies began creating such an abundance of humankind’s critical resources that warring over them would no longer be necessary.

That shift will ultimately challenge one of our most basic assumptions about technology: that machines are tools that increase the productivity of workers. Instead, machines themselves are turning into workers, and the line between the capability of labor and capital is blurring as never before. All

In particular, the rise of companies like Google, Facebook, and Amazon has propelled a great deal of progress. Never before have such deep-pocketed corporations viewed artificial intelligence as absolutely central to their business models—and never before has AI research been positioned so close to the nexus of competition between such powerful entities. A similar competitive dynamic is unfolding among nations. AI is becoming indispensable to militaries, intelligence agencies, and the surveillance apparatus in authoritarian states.* Indeed, an all-out AI arms race might well be looming in the near future.

For example, the lithographic process used to lay out integrated circuits was initially based on optical imaging techniques. When the size of individual device elements shrank to the point where the wavelength of visible light was too long to allow for further progress, the semiconductor industry moved on to X-ray lithography.

Widely admired by the public at large, Mayer has many enemies within her industry. They say she is robotic, stuck up, and absurd in her obsession with detail. They say her fixation with the user experience masks a disdain for the moneymaking side of the technology industry. Then there is her inner circle, full of young, wildly loyal men and women.

Sociable robotics exploits the idea of a robotic body to move people to relate to machines as subjects, as creatures in pain rather than broken objects. That even the most primitive Tamagotchi can inspire these feelings demonstrates that objects cross that line not because of their sophistication but because of the feelings of attachment they evoke.

Robots are a physical, moveable form of AI. Currently robots do much of the work humans cannot do, with a consistent, flawless level of accuracy and repetitiveness – factory positions are one example. In the future, robots will do anything humans can come up with. The most successful people will be the ones who can optimize their robot’s activities.

Genetic programming essentially allows computer algorithms to design themselves through a process of Darwinian natural selection. Computer code is initially generated randomly and then repeatedly shuffled using techniques that emulate sexual reproduction. Every so often, a random mutation is thrown in to help drive the process in entirely new directions.

Over the years I have read many, many books about the future, my ‘we’re all doomed’ books, as Connie liked to call them. ‘All the books you read are either about how grim the past was or how gruesome the future will be. It might not be that way, Douglas. Things might turn out all right.’ But these were well-researched, plausible studies, their conclusions highly persuasive, and I could become quite voluble on the subject. Take, for instance, the fate of the middle-class, into which Albie and I were born and to which Connie now belongs, albeit with some protest. In book after book I read that the middle-class are doomed. Globalisation and technology have already cut a swathe through previously secure professions, and 3D printing technology will soon wipe out the last of the manufacturing industries. The internet won’t replace those jobs, and what place for the middle-classes if twelve people can run a giant corporation? I’m no communist firebrand, but even the most rabid free-marketeer would concede that market-forces capitalism, instead of spreading wealth and security throughout the population, has grotesquely magnified the gulf between rich and poor, forcing a global workforce into dangerous, unregulated, insecure low-paid labour while rewarding only a tiny elite of businessmen and technocrats. So-called ‘secure’ professions seem less and less so; first it was the miners and the ship- and steel-workers, soon it will be the bank clerks, the librarians, the teachers, the shop-owners, the supermarket check-out staff. The scientists might survive if it’s the right type of science, but where do all the taxi-drivers in the world go when the taxis drive themselves? How do they feed their children or heat their homes and what happens when frustration turns to anger? Throw in terrorism, the seemingly insoluble problem of religious fundamentalism, the rise of the extreme right-wing, under-employed youth and the under-pensioned elderly, fragile and corrupt banking systems, the inadequacy of the health and care systems to cope with vast numbers of the sick and old, the environmental repercussions of unprecedented factory-farming, the battle for finite resources of food, water, gas and oil, the changing course of the Gulf Stream, destruction of the biosphere and the statistical probability of a global pandemic, and there really is no reason why anyone should sleep soundly ever again. By the time Albie is my age I will be long gone, or, best-case scenario, barricaded into my living module with enough rations to see out my days. But outside, I imagine vast, unregulated factories where workers count themselves lucky to toil through eighteen-hour days for less than a living wage before pulling on their gas masks to fight their way through the unemployed masses who are bartering with the mutated chickens and old tin-cans that they use for currency, those lucky workers returning to tiny, overcrowded shacks in a vast megalopolis where a tree is never seen, the air is thick with police drones, where car-bomb explosions, typhoons and freak hailstorms are so commonplace as to barely be remarked upon. Meanwhile, in literally gilded towers miles above the carcinogenic smog, the privileged 1 per cent of businessmen, celebrities and entrepreneurs look down through bullet-proof windows, accept cocktails in strange glasses from the robot waiters hovering nearby and laugh their tinkling laughs and somewhere, down there in that hellish, stewing mess of violence, poverty and desperation, is my son, Albie Petersen, a wandering minstrel with his guitar and his keen interest in photography, still refusing to wear a decent coat.

The relentless acceleration of computer hardware over decades suggests that we’ve somehow managed to remain on the steep part of the S-curve for far longer than has been possible in other spheres of technology. The reality, however, is that Moore’s Law has involved successfully climbing a staircase of cascading S-curves, each representing a specific semiconductor fabrication technology.

The company warned that cuts to the US food stamp program (officially known as the Supplemental Nutrition Assistance Program) as well as increases in payroll taxes were poised to hit hard at low-income shoppers. About one in five Walmart customers rely on food stamps, and evidence suggests that many of these people are stretched to the point where they have virtually no discretionary income.

Today’s computer technology exists in some measure because millions of middle-class taxpayers supported federal funding for basic research in the decades following World War II. We can be reasonably certain that those taxpayers offered their support in the expectation that the fruits of that research would create a more prosperous future for their children and grandchildren. Yet, the trends we looked at in the last chapter suggest we are headed toward a very different outcome. BEYOND THE BASIC MORAL QUESTION of whether a tiny elite should be able to, in effect, capture ownership of society’s accumulated technological capital, there are also practical issues regarding the overall health of an economy in which income inequality becomes too extreme. Continued progress depends on a vibrant market for future innovations—and that, in turn, requires a reasonable distribution of purchasing power.

advances in AI are poised to drive dramatic productivity increases and perhaps eventually full automation. Radiologists, for example, are trained to interpret the images that result from various medical scans. Image processing and recognition technology is advancing rapidly and may soon be able to usurp the radiologist’s traditional role. Software can already recognize people in photos posted on Facebook and even help identify potential terrorists in airports.

By the early twenty-second century, the technology for self-replicating robots should be perfected, and we may be able to entrust machines with the task of constructing solar arrays and laser batteries on the moon, Mars, and beyond. We would ship over an initial team of automatons, some of which would mine the regolith and others of which would build a factory. Another set of robots would oversee the sorting, milling, and smelting of raw materials in the factory to separate and obtain various metals. These purified metals could then be used to assemble laser launch stations—and a new batch of self-replicating robots. We might eventually have a bustling network of relay stations throughout the solar system, perhaps stretching from the moon all the way to the Oort Cloud. Because the comets in the Oort Cloud extend roughly halfway to Alpha Centauri and are largely stationary, they may be ideal locations for laser banks that could provide an extra boost to nanoships on their journey to our neighboring star system. As each nanoship passed by one of these relay stations, its lasers would fire automatically and give the ship an added push to the stars. Self-replicating robots could build these distant outposts by using fusion instead of sunlight as the basic source of energy.

Imagine that you get in your car and begin driving at 5 miles per hour. You drive for a minute, accelerate to double your speed to 10 mph, drive for another minute, double your speed again, and so on. The really remarkable thing is not simply the fact of the doubling but the amount of ground you cover after the process has gone on for a while. In the first minute, you would travel about 440 feet. In the third minute at 20 mph, you’d cover 1,760 feet. In the fifth minute, speeding along at 80 mph, you would go well over a mile. To complete the sixth minute, you’d need a faster car—as well as a racetrack. Now think about how fast you would be traveling—and how much progress you would make in that final minute—if you doubled your speed twenty-seven times. That’s roughly the number of times computing power has doubled since the invention of the integrated circuit in 1958. The revolution now under way is happening not just because of the acceleration itself but because that acceleration has been going on for so long that the amount of progress we can now expect in any given year is potentially mind-boggling. The answer to the question about your speed in the car, by the way, is 671 million miles per hour. In that final, twenty-eighth minute, you would travel more than 11 million miles. Five minutes or so at that speed would get you to Mars. That, in a nutshell, is where information technology stands today, relative to when the first primitive integrated circuits started plodding along in the late 1950s.

When I was growing up it was still acceptable—not to me but in social terms—to say that one was not interested in science and did not see the point in bothering with it. This is no longer the case. Let me be clear. I am not promoting the idea that all young people should grow up to be scientists. I do not see that as an ideal situation, as the world needs people with a wide variety of skills. But I am advocating that all young people should be familiar with and confident around scientific subjects, whatever they choose to do. They need to be scientifically literate, and inspired to engage with developments in science and technology in order to learn more. A world where only a tiny super-elite are capable of understanding advanced science and technology and its applications would be, to my mind, a dangerous and limited one. I seriously doubt whether long-range beneficial projects such as cleaning up the oceans or curing diseases in the developing world would be given priority. Worse, we could find that technology is used against us and that we might have no power to stop it. I don’t believe in boundaries, either for what we can do in our personal lives or for what life and intelligence can accomplish in our universe. We stand at a threshold of important discoveries in all areas of science. Without doubt, our world will change enormously in the next fifty years. We will find out what happened at the Big Bang. We will come to understand how life began on Earth. We may even discover whether life exists elsewhere in the universe. While the chances of communicating with an intelligent extra-terrestrial species may be slim, the importance of such a discovery means we must not give up trying. We will continue to explore our cosmic habitat, sending robots and humans into space. We cannot continue to look inwards at ourselves on a small and increasingly polluted and overcrowded planet. Through scientific endeavour and technological innovation, we must look outwards to the wider universe, while also striving to fix the problems on Earth. And I am optimistic that we will ultimately create viable habitats for the human race on other planets. We will transcend the Earth and learn to exist in space. This is not the end of the story, but just the beginning of what I hope will be billions of years of life flourishing in the cosmos. And one final point—we never really know where the next great scientific discovery will come from, nor who will make it. Opening up the thrill and wonder of scientific discovery, creating innovative and accessible ways to reach out to the widest young audience possible, greatly increases the chances of finding and inspiring the new Einstein. Wherever she might be. So remember to look up at the stars and not down at your feet. Try to make sense of what you see and wonder about what makes the universe exist. Be curious. And however difficult life may seem, there is always something you can do and succeed at. It matters that you don’t just give up. Unleash your imagination. Shape the future.

Meanwhile, people are busy using fractals to explain any system that has defied other, more reductionist approaches. Since they were successfully applied by IBM's Benoit Mandlebrot to the problem of seemingly random, intermittent interference on the phone lines, fractals have been used to identify underlying patterns in weather systems, computer files, and bacteria cultures. Sometimes fractal enthusiasts go a bit too far, however, using these nonlinear equations to mine for patterns in systems where none exist. Applied to the stock market to consumer behavior, fractals may tell less about those systems than about the people searching for patterns within them. There is a dual nature to fractals: They orient us while at the same time challenging our sense of scale and appropriateness. They offer us access to the underlying patterns of complex systems while at the same time tempting us to look for patterns where none exist. This makes them a terrific icon for the sort of pattern recognition associated with present shock—a syndrome we'll call factalnoia. Like the robots on Mystery Science Theater 3000, we engage by relating one thing to another, even when the relationship is forced or imagined. The tsunami makes sense once it is connected to chemtrails, which make sense when they are connected to HAARP. It's not just conspiracy theorists drawing fractalnoid connections between things. In a world without time, any and all sense making must occur on the fly. Simultaneity often seems like all we have. That's why anyone contending with present shock will have a propensity to make connections between things happening in the same moment—as if there had to be an underlying logic.

With more and more decision making and work done by robots, what will be left for humans to do? Do we really want to compete biologically with robot technology by using brain implants and genetically improved intelligence and social behavior? This choice would mean a sharp departure away from the human nature we have inherited, and a fundamental change in the human condition. Now we are talking about a problem best solved within the humanities, and one more reason the humanities are all-important. While I’m at it, I hereby cast a vote for existential conservatism, the preservation of biological human nature as a sacred trust. We are doing very well in science and technology. Let’s agree to keep it up, and move both along even faster. But let’s also promote the humanities, that which makes us human, and not use science to mess around with the wellspring of this, the absolute and unique potential of the human future.

A world where only a tiny super-elite are capable of understanding advanced science and technology and its applications would be, to my mind, a dangerous and limited one. I seriously doubt whether long-range beneficial projects such as cleaning up the oceans or curing diseases in the developing world would be given priority. Worse, we could find that technology is used against us and that we might have no power to stop it. I don’t believe in boundaries, either for what we can do in our personal lives or for what life and intelligence can accomplish in our universe. We stand at a threshold of important discoveries in all areas of science. Without doubt, our world will change enormously in the next fifty years. We will find out what happened at the Big Bang. We will come to understand how life began on Earth. We may even discover whether life exists elsewhere in the universe. While the chances of communicating with an intelligent extra-terrestrial species may be slim, the importance of such a discovery means we must not give up trying. We will continue to explore our cosmic habitat, sending robots and humans into space. We cannot continue to look inwards at ourselves on a small and increasingly polluted and overcrowded planet. Through scientific endeavour and technological innovation, we must look outwards to the wider universe, while also striving to fix the problems on Earth. And I am optimistic that we will ultimately create viable habitats for the human race on other planets. We will transcend the Earth and learn to exist in space. This is not the end of the story, but just the beginning of what I hope will be billions of years of life flourishing in the cosmos. And one final point—we never really know where the next great scientific discovery will come from, nor who will make it. Opening up the thrill and wonder of scientific discovery, creating innovative and accessible ways to reach out to the widest young audience possible, greatly increases the chances of finding and inspiring the new Einstein. Wherever she might be. So remember to look up at the stars and not down at your feet. Try to make sense of what you see and wonder about what makes the universe exist. Be curious. And however difficult life may seem, there is always something you can do and succeed at. It matters that you don’t just give up. Unleash your imagination. Shape the future.

One of those was Gary Bradski, an expert in machine vision at Intel Labs in Santa Clara. The company was the world’s largest chipmaker and had developed a manufacturing strategy called “copy exact,” a way of developing next-generation manufacturing techniques to make ever-smaller chips. Intel would develop a new technology at a prototype facility and then export that process to wherever it planned to produce the denser chips in volume. It was a system that required discipline, and Bradski was a bit of a “Wild Duck”—a term that IBM originally used to describe employees who refused to fly in formation—compared to typical engineers in Intel’s regimented semiconductor manufacturing culture. A refugee from the high-flying finance world of “quants” on the East Coast, Bradski arrived at Intel in 1996 and was forced to spend a year doing boring grunt work, like developing an image-processing software library for factory automation applications. After paying his dues, he was moved to the chipmaker’s research laboratory and started researching interesting projects. Bradski had grown up in Palo Alto before leaving to study physics and artificial intelligence at Berkeley and Boston University. He returned because he had been bitten by the Silicon Valley entrepreneurial bug.

Perhaps the most remarkable elder-care innovation developed in Japan so far is the Hybrid Assistive Limb (HAL)—a powered exoskeleton suit straight out of science fiction. Developed by Professor Yoshiyuki Sankai of the University of Tsukuba, the HAL suit is the result of twenty years of research and development. Sensors in the suit are able to detect and interpret signals from the brain. When the person wearing the battery-powered suit thinks about standing up or walking, powerful motors instantly spring into action, providing mechanical assistance. A version is also available for the upper body and could assist caretakers in lifting the elderly. Wheelchair-bound seniors have been able to stand up and walk with the help of HAL. Sankai’s company, Cyberdyne, has also designed a more robust version of the exoskeleton for use by workers cleaning up the Fukushima Daiichi nuclear plant in the wake of the 2011 disaster. The company says the suit will almost completely offset the burden of over 130 pounds of tungsten radiation shielding worn by workers.* HAL is the first elder-care robotic device to be certified by Japan’s Ministry of Economy, Trade, and Industry. The suits lease for just under $2,000 per year and are already in use at over three hundred Japanese hospitals and nursing homes.21

Gadgetry will continue to relieve mankind of tedious jobs. Kitchen units will be devised that will prepare ‘automeals,’ heating water and converting it to coffee; toasting bread; frying, poaching or scrambling eggs, grilling bacon, and so on. Breakfasts will be ‘ordered’ the night before to be ready by a specified hour the next morning. Communications will become sight-sound and you will see as well as hear the person you telephone. The screen can be used not only to see the people you call but also for studying documents and photographs and reading passages from books. Synchronous satellites, hovering in space will make it possible for you to direct-dial any spot on earth, including the weather stations in Antarctica. [M]en will continue to withdraw from nature in order to create an environment that will suit them better. By 2014, electroluminescent panels will be in common use. Ceilings and walls will glow softly, and in a variety of colors that will change at the touch of a push button. Robots will neither be common nor very good in 2014, but they will be in existence. The appliances of 2014 will have no electric cords, of course, for they will be powered by long- lived batteries running on radioisotopes. “[H]ighways … in the more advanced sections of the world will have passed their peak in 2014; there will be increasing emphasis on transportation that makes the least possible contact with the surface. There will be aircraft, of course, but even ground travel will increasingly take to the air a foot or two off the ground. [V]ehicles with ‘Robot-brains’ … can be set for particular destinations … that will then proceed there without interference by the slow reflexes of a human driver. [W]all screens will have replaced the ordinary set; but transparent cubes will be making their appearance in which three-dimensional viewing will be possible. [T]he world population will be 6,500,000,000 and the population of the United States will be 350,000,000. All earth will be a single choked Manhattan by A.D. 2450 and society will collapse long before that! There will, therefore, be a worldwide propaganda drive in favor of birth control by rational and humane methods and, by 2014, it will undoubtedly have taken serious effect. Ordinary agriculture will keep up with great difficulty and there will be ‘farms’ turning to the more efficient micro-organisms. Processed yeast and algae products will be available in a variety of flavors. The world of A.D. 2014 will have few routine jobs that cannot be done better by some machine than by any human being. Mankind will therefore have become largely a race of machine tenders. Schools will have to be oriented in this direction…. All the high-school students will be taught the fundamentals of computer technology will become proficient in binary arithmetic and will be trained to perfection in the use of the computer languages that will have developed out of those like the contemporary “Fortran". [M]ankind will suffer badly from the disease of boredom, a disease spreading more widely each year and growing in intensity. This will have serious mental, emotional and sociological consequences, and I dare say that psychiatry will be far and away the most important medical specialty in 2014. [T]he most glorious single word in the vocabulary will have become work! in our a society of enforced leisure.

Moore’s Law, the rule of thumb in the technology industry, tells us that processor chips—the small circuit boards that form the backbone of every computing device—double in speed every eighteen months. That means a computer in 2025 will be sixty-four times faster than it is in 2013. Another predictive law, this one of photonics (regarding the transmission of information), tells us that the amount of data coming out of fiber-optic cables, the fastest form of connectivity, doubles roughly every nine months. Even if these laws have natural limits, the promise of exponential growth unleashes possibilities in graphics and virtual reality that will make the online experience as real as real life, or perhaps even better. Imagine having the holodeck from the world of Star Trek, which was a fully immersive virtual-reality environment for those aboard a ship, but this one is able to both project a beach landscape and re-create a famous Elvis Presley performance in front of your eyes. Indeed, the next moments in our technological evolution promise to turn a host of popular science-fiction concepts into science facts: driverless cars, thought-controlled robotic motion, artificial intelligence (AI) and fully integrated augmented reality, which promises a visual overlay of digital information onto our physical environment. Such developments will join with and enhance elements of our natural world. This is our future, and these remarkable things are already beginning to take shape. That is what makes working in the technology industry so exciting today. It’s not just because we have a chance to invent and build amazing new devices or because of the scale of technological and intellectual challenges we will try to conquer; it’s because of what these developments will mean for the world.

HISTORICAL NOTE There are no nuclear power stations in Belarus. Of the functioning stations in the territory of the former USSR, the ones closest to Belarus are of the old Soviet-designed RBMK type. To the north, the Ignalinsk station, to the east, the Smolensk station, and to the south, Chernobyl. On April 26, 1986, at 1:23:58, a series of explosions destroyed the reactor in the building that housed Energy Block #4 of the Chernobyl Nuclear Power Station. The catastrophe at Chernobyl became the largest technological disaster of the twentieth century. For tiny Belarus (population: 10 million), it was a national disaster. During the Second World War, the Nazis destroyed 619 Belarussian villages along with their inhabitants. As a result of Chernobyl, the country lost 485 villages and settlements. Of these, 70 have been forever buried underground. During the war, one out of every four Belarussians was killed; today, one out of every five Belarussians lives on contaminated land. This amounts to 2.1 million people, of whom 700,000 are children. Among the demographic factors responsible for the depopulation of Belarus, radiation is number one. In the Gomel and Mogilev regions, which suffered the most from Chernobyl, mortality rates exceed birth rates by 20%. As a result of the accident, 50 million Ci of radionuclides were released into the atmosphere. Seventy percent of these descended on Belarus; fully 23% of its territory is contaminated by cesium-137 radionuclides with a density of over 1 Ci/km2. Ukraine on the other hand has 4.8% of its territory contaminated, and Russia, 0.5%. The area of arable land with a density of more than 1 Ci/km2 is over 18 million hectares; 2.4 thousand hectares have been taken out of the agricultural economy. Belarus is a land of forests. But 26% of all forests and a large part of all marshes near the rivers Pripyat, Dniepr, and Sozh are considered part of the radioactive zone. As a result of the perpetual presence of small doses of radiation, the number of people with cancer, mental retardation, neurological disorders, and genetic mutations increases with each year. —“Chernobyl.” Belaruskaya entsiklopedia On April 29, 1986, instruments recorded high levels of radiation in Poland, Germany, Austria, and Romania. On April 30, in Switzerland and northern Italy. On May 1 and 2, in France, Belgium, the Netherlands, Great Britain, and northern Greece. On May 3, in Israel, Kuwait, and Turkey. . . . Gaseous airborne particles traveled around the globe: on May 2 they were registered in Japan, on May 5 in India, on May 5 and 6 in the U.S. and Canada. It took less than a week for Chernobyl to become a problem for the entire world. —“The Consequences of the Chernobyl Accident in Belarus.” Minsk, Sakharov International College on Radioecology The fourth reactor, now known as the Cover, still holds about twenty tons of nuclear fuel in its lead-and-metal core. No one knows what is happening with it. The sarcophagus was well made, uniquely constructed, and the design engineers from St. Petersburg should probably be proud. But it was constructed in absentia, the plates were put together with the aid of robots and helicopters, and as a result there are fissures. According to some figures, there are now over 200 square meters of spaces and cracks, and radioactive particles continue to escape through them . . . Might the sarcophagus collapse? No one can answer that question, since it’s still impossible to reach many of the connections and constructions in order to see if they’re sturdy. But everyone knows that if the Cover were to collapse, the consequences would be even more dire than they were in 1986. —Ogonyok magazine, No. 17, April 1996