Importance Of Computers Quotes

We must rapidly begin the shift from a "thing-oriented" society to a "person-oriented" society. When machines and computers, profit motives and property rights are considered more important than people, the giant triplets of racism, materialism, and militarism are incapable of being conquered.

The most important property of a program is whether it accomplishes the intention of its user.

First, we cannot overload the human brain. This divinely created brain has fourteen billion cells. If used to the maximum, this human computer inside our heads could contain all the knowledge of humanity from the beginning of the world to the present and still have room left over. Second, not only can we not overload our brain - we also know that our brain retains everything. I often use saying that "The brain acquires everything that we encounter." The difficulty does not come with the input of information, but getting it out. Sometimes we "file" information randomly of little importance, and it confuses us.

The most important thing about a technology is how it changes people.

No matter which field of work you want to go in, it is of great importance to learn at least one programming language.

Perhaps the most important principle for the good algorithm designer is to refuse to be content.

I believe that this corporate machinery of scripted programs, comprehension worksheets (reproducibles, handouts, printables, whatever you want to call them), computer-based incentive packages, and test practice curriculum facilitates a solid bottom-line for the companies that sell them, and give schools proof they can point to that they are using every available resource to teach reading, but these efforts are doomed to fail a large number of students because they leave out the most important factor. When you take a forklift and shovel off the programs, underneath it all is a child reading a book.

I would say that the five most important skills are of course, reading, writing, arithmetic, and then as you’re adding in, persuasion, which is talking. And then finally, I would add computer programming just because it’s an applied form of arithmetic that just gets you so much leverage for free in any domain that you operate in. If you’re good with computers, if you’re good at basic mathematics, if you’re good at writing, if you’re good at speaking, and if you like reading, you’re set for life.

It's important for nerds to realize, too, that school is not life. School is a strange, artificial thing, half sterile and half feral. It's all-encompassing, like life, but it isn't the real thing. It's only temporary, and if you look, you can see beyond it even while you're still in it.

His sisters -- my aunts -- did not go to school at all, just like millions of girls in my country. Education had been a great gift for him. He believed that lack of education was the root of all of Pakistan's problems. Ignorance allowed politicians to fool people and bad administrators to be re-elected. He believed schooling should be available for all, rich and poor, boys and girls. The school that my father dreamed of would have desks and a library, computers, bright posters on the walls and, most important, washrooms.

We’ve got one huge advantage—people believe what they see in databases. They’ve never learned the most important rule of cyberspace—computers don’t lie but liars can compute.

It is important to use your hands, that is what distinguishes you from a cow or a computer operator.

Quantum artificial intelligence put greater importance to human peace, economic, social, political and cultural rights. It focuses on fundamental freedoms and well-being for all without distinction to race, color, sex, country, language, or religion.

Thinking is computation, I claim, but that does not mean that the computer is a good metaphor for the mind. The mind is a set of modules, but the modules are not encapsulated boxes or circumscribed swatches on the surface of the brain. The organization of our mental modules comes from our genetic program, but that does not mean that there is a gene for every trait or that learning is less important than we used to think. The mind is an adaptation designed by natural selection, but that does not mean that everything we think, feel, and do is biologically adaptive. We evolved from apes, but that does not mean we have the same minds as apes. And the ultimate goal of natural selection is to propagate genes, but that does not mean that the ultimate goal of people is to propagate genes.

You have a great body. It is an intricate piece of technology and a sophisticated super-computer. It runs on peanuts and even regenerates itself. Your relationship with your body is one of the most important relationships you’ll ever have. And since repairs are expensive and spare parts are hard to come by, it pays to make that relationship good.

Advice to friends. Advice to fellow mothers in the same boat. "How do you do it all?" Crack a joke. Make it seem easy. Make everything seem easy. Make life seem easy and parenthood and marriage and freelancing for pennies, writing a novel and smiling after a rejection, keeping the faith after two, reminding oneself that four years of work counted for a lot, counted for everything. Make the bed. Make it nice. Make the people laugh when you sit down to write and if you can't make them laugh make them cry. Make them want to hug you or hold you or punch you in the face. Make them want to kill you or fuck you or be your friend. Make them change. Make them happy. Make the baby smile. Make him laugh. Make him dinner. Make him proud. Hold the phone, someone is on the other line. She says its important. People are dying. Children. Friends. Press mute because there is nothing you can say. Press off because you're running out of minutes. Running out of time. Soon he'll be grown up and you'll regret the time you spent pushing him away for one more paragraph in the manuscript no one will ever read. Put down the book, the computer, the ideas. Remember who you are now. Wait. Remember who you were. Wait. Remember what's important. Make a list. Ten things, no twenty. Twenty thousand things you want to do before you die but what if tomorrow never comes? No one will remember. No one will know. No one will laugh or cry or make the bed. No one will have a clue which songs to sing to the baby. No one will be there for the children. No one will finish the first draft of the novel. No one will publish the one that's been finished for months. No one will remember the thought you had last night, that great idea you forgot to write down.

Paying attention is more important to reliability than moving slowly. Because he pays close attention, a Navy pilot can land a 40,000 lb. aircraft at 140 miles per hour on a pitching carrier deck, at night, more safely than the average teenager can cut a bagel.

People know how to deal with a desktop intuitively. If you walk into an office, there are papers on the desk. The one on the top is the most important. People know how to switch priority. Part of the reason we model our computers on metaphors like the desktop is that we can leverage this experience people already have.

Body', 'soul', and 'spirit' may designate phenomenal domains which can be detached as themes for definite investigations; within certain limits their ontological indefiniteness may not be important. When, however, we come to the question of man's Being, this is not something we can simply compute by adding together those kinds of Being which body, soul, and spirit respectively possess--kinds of being whose nature has not as yet been determined. And even if we should attempt such an ontological procedure, some idea of the Being of the whole must be presupposed.

Goals are for losers. Your mind isn’t magic. It’s a moist computer you can program. The most important metric to track is your personal energy. Every skill you acquire doubles your odds of success. Happiness is health plus freedom. Luck can be managed, sort of. Conquer shyness by being a huge phony (in a good way). Fitness is the lever that moves the world. Simplicity transforms ordinary into amazing.

Some Socialists seem to believe that people should be numbers in a State computer. We believe they should be individuals. We are all unequal. No one, thank heavens, is like anyone else, however much the Socialists may pretend otherwise. We believe that everyone has the right to be unequal but to us every human being is equally important.

I've never believed that they're separate. Leonardo da Vinci was a great artist and a great scientist. Michelangelo knew a tremendous amount about how to cut stone at the quarry. The finest dozen computer scientists I know are all musicians. Some are better than others, but they all consider that an important part of their life. I don't believe that the best people in any of these fields see themselves as one branch of a forked tree. I just don't see that.People bring these things together a lot. Dr. Land at Polaroid said, "I want Polaroid to stand at the intersection of art and science," and I've never forgotten that. I think that that's possible, and I think a lot of people have tried.

It is India that gave us the ingenious method of expressing all numbers by means of ten symbols, each symbol receiving a value of position as well as an absolute value; a profound and important idea which appears so simple to us now that we ignore its true merit. But its very simplicity and the great ease which it has lent to computations put our arithmetic in the first rank of useful inventions; and we shall appreciate the grandeur of the achievement the more when we remember that it escaped the genius of Archimedes and Apollonius, two of the greatest men produced by antiquity.

judgment is the most important faculty we have. An animal, or a man, may get on very well without ‘abstract attitude’ but will speedily perish if deprived of judgment. Judgment must be the first faculty of higher life or mind—yet it is ignored, or misinterpreted, by classical (computational) neurology. And if we wonder how such an absurdity can arise, we find it in the assumptions, or the evolution, of neurology itself.

When I fight off a disease bent on my cellular destruction, when I marvelously distribute energy and collect waste with astonishing alacrity even in my most seemingly fatigued moments, when I slip on ice and gyrate crazily but do not fall, when I unconsciously counter-steer my way into a sharp bicycle turn, taking advantage of physics I do not understand using a technique I am not even aware of using, when I somehow catch the dropped oranges before I know I've dropped them, when my wounds heal in my ignorance, I realize how much bigger I am than I think I am. And how much more important, nine times out of ten, those lower-level processes are to my overall well-being than the higher-level ones that tend to be the ones getting me bent out of shape or making me feel disappointed or proud.

Learning self-control is important, but it’s equally important to grow up in an environment where adults are consistently present and trustworthy.

The computer and the Internet are among the most important inventions of our era, but few people know who created them.

Common sense is important not just because your mom taught you so, but because computers don’t have it.

Marturano recommended something radical: do only one thing at a time. When you’re on the phone, be on the phone. When you’re in a meeting, be there. Set aside an hour to check your email, and then shut off your computer monitor and focus on the task at hand. Another tip: take short mindfulness breaks throughout the day. She called them “purposeful pauses.” So, for example, instead of fidgeting or tapping your fingers while your computer boots up, try to watch your breath for a few minutes. When driving, turn off the radio and feel your hands on the wheel. Or when walking between meetings, leave your phone in your pocket and just notice the sensations of your legs moving. “If I’m a corporate samurai,” I said, “I’d be a little worried about taking all these pauses that you recommend because I’d be thinking, ‘Well, my rivals aren’t pausing. They’re working all the time.’ ” “Yeah, but that assumes that those pauses aren’t helping you. Those pauses are the ways to make you a more clear thinker and for you to be more focused on what’s important.

In the United States, fascism is on the rise. Libraries are under attack. Some pundits ask why universities bother with departments that don’t just teach students to write computer code. Violent bigotry is fashionable again, and for many people, the appeal of politics is the opportunity to impose cruelty on others. The admonition to remember has never seemed so important.

I think that it’s extraordinarily important that we in computer science keep fun in computing. When it started out it was an awful lot of fun. Of course the paying customers got shafted every now and then and after a while we began to take their complaints seriously. We began to feel as if we really were responsible for the successful error-free perfect use of these machines. I don’t think we are. I think we’re responsible for stretching them setting them off in new directions and keeping fun in the house. I hope the field of computer science never loses its sense of fun. Above all I hope we don’t become missionaries. Don’t feel as if you’re Bible sales-men. The world has too many of those already. What you know about computing other people will learn. Don’t feel as if the key to successful computing is only in your hands. What’s in your hands I think and hope is intelligence: the ability to see the machine as more than when you were first led up to it that you can make it more.

Deep Blue didn't win by being smarter than a human; it won by being millions of times faster than a human. Deep Blue had no intuition. An expert human player looks at a board position and immediately sees what areas of play are most likely to be fruitful or dangerous, whereas a computer has no innate sense of what is important and must explore many more options. Deep Blue also had no sense of the history of the game, and didn't know anything about its opponent. It played chess yet didn't understand chess, in the same way a calculator performs arithmetic bud doesn't understand mathematics.

In the words of the systems thinker John Sterman, ‘The most important assumptions of a model are not in the equations, but what’s not in them; not in the documentation, but unstated; not in the variables on the computer screen, but in the blank spaces around them’.

It might not be immediately obvious to some readers why the ability to perform 10^85 computational operations is a big deal. So it's useful to put it in context. [I]t may take about 10^31-10^44 operations to simulate all neuronal operations that have occurred in the history of life on Earth. Alternatively, let us suppose that the computers are used to run human whole brain emulations that live rich and happy lives while interacting with one another in virtual environments. A typical estimate of the computational requirements for running one emulation is 10^18 operations per second. To run an emulation for 100 subjective years would then require some 10^27 operations. This would be mean that at least 10^58 human lives could be created in emulation even with quite conservative assumptions about the efficiency of computronium. In other words, assuming that the observable universe is void of extraterrestrial civilizations, then what hangs in the balance is at least 10,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000 human lives. If we represent all the happiness experienced during one entire such life with a single teardrop of joy, then the happiness of these souls could fill and refill the Earth's oceans every second, and keep doing so for a hundred billion billion millennia. It is really important that we make sure these truly are tears of joy.

We need change. I mean, our traditions are important. We shouldn't give up on those. But sometimes, I think we're misguided." "Misguided?" "As time's gone on, we've gone along with other changes. We've evolved. Computers. Electricity. Technology in general. We all agree those make our lives better. Why can't we be the same in the way we act? Why are we still clinging to the past when there are better ways to do things?

here’s my 8-step process for maximizing efficacy (doing the right things): Wake up at least 1 hour before you have to be at a computer screen. Email is the mind-killer. Make a cup of tea (I like pu-erh) and sit down with a pen/pencil and paper. Write down the 3 to 5 things—and no more—that are making you the most anxious or uncomfortable. They’re often things that have been punted from one day’s to-do list to the next, to the next, to the next, and so on. Most important usually equals most uncomfortable, with some chance of rejection or conflict. For each item, ask yourself: “If this were the only thing I accomplished today, would I be satisfied with my day?” “Will moving this forward make all the other to-dos unimportant or easier to knock off later?” Put another way: “What, if done, will make all of the rest easier or irrelevant?” Look only at the items you’ve answered “yes” to for at least one of these questions. Block out at 2 to 3 hours to focus on ONE of them for today. Let the rest of the urgent but less important stuff slide. It will still be there tomorrow. TO BE CLEAR: Block out at 2 to 3 HOURS to focus on ONE of them for today. This is ONE BLOCK OF TIME. Cobbling together 10 minutes here and there to add up to 120 minutes does not work. No phone calls or social media allowed. If you get distracted or start procrastinating, don’t freak out and downward-spiral; just gently come back to your ONE to-do.

The noted Yale computer science professor Edward Tufte once observed that there are only two industries that refer to their customers as users: computer designers and drug dealers. Importantly, you are equally as likely to recover damages from either of them for the harms their products cause.

We like to believe that we live in a grand age of creative individualism. We look back at the midcentury era in which the Berkeley researchers conducted their creativity studies, and feel superior. Unlike the starched-shirted conformists of the 1950s, we hang posters of Einstein on our walls, his tongue stuck out iconoclastically. We consume indie music and films, and generate our own online content. We “think different” (even if we got the idea from Apple Computer’s famous ad campaign). But the way we organize many of our most important institutions—our schools and our workplaces—tells a very different story.

Empirical studies show that New Zealanders are the most widely traveled people on the planet. The computer and the Internet have made a major difference. Insularity, distance, and isolation may have been important in an earlier period of New Zealand’s history, but not today. The rapid progress of communications has wrought a revolution in the spatial condition of New Zealand, and yet its culture remains very distinctive. This fact suggests that distance itself is not the key.

We often think that combining tasks will save us time, but scientific evidence shows that it has the opposite effect. Even those who claim to be good at multitasking are not very productive. In fact, they are some of the least productive people. Our brains can take million bits of information but can only actually process of few dozen per second. When we say we're multitasking, what we're really doing is switching back and forth between tasks very quickly. Unfortunately, we're not computers adept at parallel processing. We end up spending all our energy alternative between tasks, instead of focusing on doing one of them well. Concentrating on one thing at a time may be the single most important factor in achieving flow.

Bayes’s Rule tells us that when it comes to making predictions based on limited evidence, few things are as important as having good priors—that is, a sense of the distribution from which we expect that evidence to have come. Good predictions thus begin with having good instincts about when we’re dealing with a normal distribution and when with a power-law distribution. As it turns out, Bayes’s Rule offers us a simple but dramatically different predictive rule of thumb for each.  …

the most important factor in America’s economic future—in raising everyone’s standard of living—is not land, or money, or computers; it’s human talent.

Reputation is so important that one should not ruin it on social media. 

People are always saying these things about how there's no need to read literature anymore-that it won't help the world. Everyone should apparently learn to speak Mandarin, and learn how to write code for computers. More young people should go into STEM fields: science, technology, engineering, and math. And that all sounds to be true and reasonable. But you can't say that what you learn in English class doesn't matter. That great writing doesn't make a difference. I'm different. It's hard to put into words, but it's true. Words matter.

The ark was like a portable computer hard drive and Noah was a one-man Geek Squad, and he dumped God's most important files onto it before he zorched the virus-ridden computer that was the world.

When you work with your computer for three or four hours, you are totally lost. It’s like eating french fries. You shouldn’t eat french fries all day, and you shouldn’t be on the computer all day.

Well, whatever you want to say, I recommend you come right out and say it. Just open your mouth and tell the world what's on your mind. Of course, with you generation, I always feel like I have to add this: Please don't do it through text or e-mail or anything like that. When you need to communicate something important, speak your truth face-to-face.... When you say what you have to say through a computer or phone, there are often miscommunications. But when it's just you and someone else, and you're right in front of them, speaking your truth, they are much more likely to understand.

There is nothing wrong with having grand visions, but the most important favor you can do for yourself is to learn how to break those visions into small parts and attack each piece slowly, one at a time.

I would like you all to stop for a moment and really think about not having a voice or any means to communicate,” my computer voice says. “You could never say, ‘Pass the salt’ or tell someone the really important things like ‘I love you.’ You can’t tell someone that you’re uncomfortable, cold, or in pain.

But then one time, you track down an email address and you're near a computer with Internet access so you don't have that nice cushion and you type what you're feeling and press send before you have a chance to talk yourself out of it. And then you wait, and wait, and wait, and nothing comes back, so all those things you thought were so important to say, really, they weren't. They weren't worth saying at all.

I think that in life, as in game design, you have to find the fun. There is joy out there waiting to be discovered, but it might not be where you expected. You can’t decide what something’s going to be before you embark on it, and you shouldn’t stick with a bad idea just because you’re fond of it. Take action as quickly and repeatedly as possible, take advantage of what you already know, and take liberties with tradition. But most importantly, take the time to appreciate the possibilities, and make sure all of your decisions are interesting ones.

People hate thinking systematically about how to optimize their relationships. It is normal to hear someone say: “I will just wait for something to happen naturally” when talking about one of the most important aspects of their life while genuinely believing that this approach has reasonable odds of success. Imagine if people said the same thing about their careers. It would sound truly bizarre for someone to expect a successful career to “just happen naturally” and yet it is entirely normalized to expect that good relationships will. People pay tens of thousands of dollars to receive degrees in computer science, marketing, and neuroscience. They make tough sacrifices with the understanding that the skills and knowledge they build in these domains will dramatically affect their quality of life. Ironically, people spend very little time systematically examining mating strategies—despite the fact that a robust understanding of the subject can dramatically affect quality of life. We will happily argue that your sexual and relationship skills matter more than your career skills. If you want to be wealthy, the fastest way to become so is to marry rich. Nothing makes happiness easier than a loving, supportive relationship, while one of the best ways to ensure you are never happy is to enter or fail to recognize and escape toxic relationships. If you want to change the world, a great partner can serve as a force multiplier. A draft horse can pull 8000 pounds, while two working together can pull 24,000 pounds. When you have a partner with whom you can synergize, you gain reach and speed that neither you nor your partner could muster individually. Heck, even if you are the type of person to judge your self-worth by the number of people with whom you have slept, a solid grasp of mating strategies will help you more than a lifetime of hitting the gym (and we say this with full acknowledgment that hitting the gym absolutely helps). A great romantic relationship will even positively impact your health (a 2018 paper in Psychophysiology found that the presence of a partner in a room lowered participants’ blood pressure) and increase your lifespan (a 2019 paper in the journal Health Psychology showed individuals in happy marriages died young at a 20% lower rate). 

AI scientists tried to program computers to act like humans without first answering what intelligence is and what it means to understand. They left out the most important part of building intelligent machines, the intelligence! "Real intelligence" makes the point that before we attempt to build intelligent machines, we have to first understand how the brain thinks, and there is nothing artificial about that. Only then can we ask how we can build intelligent machines

She knew only one hint left by Rob: Enigma. There had been a few genius mathematicians who invented much more than a computing-like device, they figured out one of the most important intelligence formulas. Rob had programmed it in the Mold language.

For some young artists, it can take a bit of time to discover which tools (which medium, or genre, or career pathway) will truly suit them best. For me, although many different art forms attract me, the tools that I find most natural and comfortable are language and oil paint; I've also learned that as someone with a limited number of spoons it's best to keep my toolbox clean and simple. My husband, by contrast, thrives with a toolbox absolutely crowded to bursting, working with language, voice, musical instruments, puppets, masks animated on a theater stage, computer and video imagery, and half a dozen other things besides, no one of these tools more important than the others, and all somehow working together. For other artists, the tools at hand might be needles and thread; or a jeweller's torch; or a rack of cooking spices; or the time to shape a young child's day.... To me, it's all art, inside the studio and out. At least it is if we approach our lives that way.

Well, what we called a computer in 1977 was really a kind of electric abacus, but…” “Oh, now, don’t underestimate the abacus,” said Reg. “In skilled hands it’s a very sophisticated calculating device. Furthermore it requires no power, can be made with any materials you have to hand, and never goes bing in the middle of an important piece of work.” “So an electric one would be particularly pointless,” said Richard. “True enough,” conceded Reg.

the invention of deep learning means that we are moving from the age of expertise to the age of data. Training successful deep-learning algorithms requires computing power, technical talent, and lots of data. But of those three, it is the volume of data that will be the most important going forward. That’s because once technical talent reaches a certain threshold, it begins to show diminishing returns. Beyond that point, data makes all the difference. Algorithms tuned by an average engineer can outperform those built by the world’s leading experts if the average engineer has access to far more data.

If you want to be relevant only in your household, then you only need to know the things that are important in your house, and if you want to be relevant in your neighborhood, you need to know what's important in your neighborhood. The same thing applies to your city, state, and country. And if you want to be relevant to the entire world, program that computer known as your brain with all kinds of information from everywhere in order to prepare yourself.

Scott goes to the computer and loads a chart that says something about global warming. Scott says, "See?" Judy says, "I don't think global warming is important, people shouldn't need to use global warming as an excuse to stop being wasteful." Scott says, "How can you not believe this?" Judy says, "There has been golf ball-sized hail storms and hurricanes for a long time, it didn't just start all of the sudden. In the movie Al Gore drives in an SUV." Scott leaves to have a cigarette. Cory says, "Al Gore owns his own farm." Judy stares at the TV. Judy thinks, "No one in this room cares about global warming, this is ridiculous, we are all smoking cigarettes and eating cheese, how can any one of us care about voting? No one in this room cares about anything.

It is one thing when prices drift downward over time due to innovation, scalability or other efficiencies. This might be considered “good” deflation and is familiar to any contemporary consumer who has seen prices of computers or wide-screen TVs fall year after year. It is another matter when prices are forced down by unnecessary monetary contraction, credit constraints, deleveraging, business failures, bankruptcies and mass unemployment. This may be considered “bad” deflation. This bad deflation was exactly what was required in order to return the most important currencies to their prewar parity with gold.

Here is one of the most important things to remember when doing research that involves regression analysis: Try not to kill anyone. You can even put a little Post-it note on your computer monitor: “Do not kill people with your research.” Because some very smart people have inadvertently violated that rule.

This sort of information gathering is precisely what we call play. And the important function of play is thus revealed: it permits us to gain, without any particular future application in mind, a holistic understanding of the world, which is both a complement of and a preparation for later analytical activities.

Okay, so first we get you a new computer and then a Facebook page. Priorities, you know," he said, typing in Kyle's password. "What would I do without you--" "Found her," he interrupted. "She's at Carrie's OK Bar. It's downtown." "What the hell is Carrie's OK Bar?" "It's a karaoke bar. Travis, come on." "Wait, how do you know she's there?" "She checked in there about twenty minutes ago." "What does that mean?" "Oh. Right. Since you left, it's become very important that we all constantly know each other's thoughts, locations, and birthdays." "That's really stupid. Except for in this one very specific situation. I can't go if her fiancé's there, though. That would be too weird." "He's not." "How do you know?" "Because she put 'Girls' Night' with about five exclamation points after it." "Are people just asking to be murdered?" "Pretty much. So are we going?

I leaned into my computer to give off the impression I was involved in something important, when actually I was reading [IMDB] trivia about the TV show The Wire. I’d ended up on the show page after following a trail of links that began with James Van Der Beek’s headshot. President Obama claims it’s his favorite show, and Omar is his favorite character.

Today I am more convinced than ever. Conceptual integrity is central to product quality. Having a system architect is the most important single step toward conceptual integrity. These principles are by no means limited to software systems, but to the design of any complex construct, whether a computer, an airplane, a Strategic Defense Initiative, a Global Positioning System. After teaching a software engineering laboratory more than 20 times, I came to insist that student teams as small as four people choose a manager and a separate architect. Defining distinct roles in such small teams may be a little extreme, but I have observed it to work well and to contribute to design success even for small teams.

The computer will never be as important to society as the copier.”73

Empathy is probably the single most important difference between a good hacker and a great one.

They’ve never learned the most important rule of cyberspace—computers don’t lie but liars can compute.

The trouble was that clarity and simplicity were more important in computer language than in human language.

When creating a contract, it is especially important to indicate a clear and definite time table as to when the items will be successfully produced as well as shipped.

Buying antivirus software is like buying insurance: It’s important to make a good choice now just in case you need the assistance later.

It’s more important to install your antivirus software correctly than quickly

It is possible, indeed important, to be able to separate these two notions—to create procedures without naming them, and to give names to procedures that have already been created.

The possibility of incorrect results in the presence of unlucky timing is so important in concurrent programming that it has a name: a race condition. A race condition occurs when the correctness of a computation depends on the relative timing or interleaving of multiple threads by the runtime; in other words, when getting the right answer relies on lucky timing.

In context the computer programmers appeared idle. They sat quietly, stared into their screens and sipped cappuccinos. And yet they were by far the most important people on board Hyperion.

Computer scientists would call this a “ping attack” or a “denial of service” attack: give a system an overwhelming number of trivial things to do, and the important things get lost in the chaos.

The OODA Loop is often seen as a simple one-dimensional cycle, where one observes what the enemy is doing, becomes oriented to the enemy action, makes a decision, and then takes an action. This “dumbing down” of a highly complex concept is especially prevalent in the military, where only the explicit part of the Loop is understood. The military believes speed is the most important element of the cycle, that whoever can go through the cycle the fastest will prevail. It is true that speed is crucial, but not the speed of simply cycling through the Loop. By simplifying the cycle in this way, the military can make computer models. But computer models do not take into account the single most important part of the cycle—the orientation phase, especially the implicit part of the orientation phase.

For a long time, the most important contribution of computers won’t be artificial intelligence; it will be hyperconnectivity—connecting human minds to each other in new ways and at unprecedented scales.

The most important thing in the programming language is the name. A language will not succeed without a good name. I have recently invented a very good name and now I am looking for a suitable language.

For instance, the previous run-on sentence is a sentence fragment, and it happened in part because of the really nice time my body was having making this lavender Le Pen make the loop-de-looping we call language. I mean writing. The point: I’d no sooner allow that fragment to sit there like a ripe zit if I was typing on a computer. And consequently, some important aspect of my thinking, particularly the breathlessness, the accruing syntax, the not quite articulate pleasure that evades or could give a fuck about the computer’s green corrective lines (how they injure us!) would be chiseled, likely with a semicolon and a proper predicate, into something correct, and, maybe, dull. To be sure, it would have less of the actual magic writing is, which comes from our bodies, which we actually think with, quiet as it’s kept.

We must rapidly begin the shift from a “thing”-oriented society to a “person”-oriented society. When machines and computers, profit motives and property rights are considered more important than people, the giant triplets of racism, materialism and militarism are incapable of being conquered. A civilization can flounder as readily in the face of moral and spiritual bankruptcy as it can through financial bankruptcy.

when you are about to make a big purchase or an important decision—which car or computer to buy, whether to undergo plastic surgery, or whether to sign up for a costly self-help program—don’t ask someone who has just done it.

Increasingly, by choice or by accident, this is the role our nation has taken: the role of those who make peaceful revolution impossible by refusing to give up the privileges and the pleasures that come from the immense profits of overseas investments. I am convinced that if we are to get on the right side of the world revolution, we as a nation must undergo a radical revolution of values. We must rapidly begin the shift from a thing-oriented society to a person-oriented society. When machines and computers, profit motives and property rights, are considered more important than people, the giant triplets of racism, extreme materialism, and militarism are incapable of being conquered.

Here is one of the most important things to remember when doing research that involves regression analysis: Try not to kill anyone. You can even put a little Post-it note on your computer monitor: “Do not kill people with your research.

In the economic sphere too, the ability to hold a hammer or press a button is becoming less valuable than before. In the past, there were many things only humans could do. But now robots and computers are catching up, and may soon outperform humans in most tasks. True, computers function very differently from humans, and it seems unlikely that computers will become humanlike any time soon. In particular, it doesn’t seem that computers are about to gain consciousness, and to start experiencing emotions and sensations. Over the last decades there has been an immense advance in computer intelligence, but there has been exactly zero advance in computer consciousness. As far as we know, computers in 2016 are no more conscious than their prototypes in the 1950s. However, we are on the brink of a momentous revolution. Humans are in danger of losing their value, because intelligence is decoupling from consciousness. Until today, high intelligence always went hand in hand with a developed consciousness. Only conscious beings could perform tasks that required a lot of intelligence, such as playing chess, driving cars, diagnosing diseases or identifying terrorists. However, we are now developing new types of non-conscious intelligence that can perform such tasks far better than humans. For all these tasks are based on pattern recognition, and non-conscious algorithms may soon excel human consciousness in recognising patterns. This raises a novel question: which of the two is really important, intelligence or consciousness? As long as they went hand in hand, debating their relative value was just a pastime for philosophers. But in the twenty-first century, this is becoming an urgent political and economic issue. And it is sobering to realise that, at least for armies and corporations, the answer is straightforward: intelligence is mandatory but consciousness is optional.

And another question we are asking is: what is going to happen to humanity, to all of us, when the computer outthinks man in accuracy and rapidity—as the computer experts are saying it will? With the development of the robot, man will only have, perhaps, two hours of work a day. This may be going to happen within the foreseeable future. Then what will man do? Is he going to be absorbed in the field of entertainment? That is already taking place: sports are becoming more important; there is the watching of television; and there are the varieties of religious entertainment. Or is he going to turn inwardly, which is not an entertainment but something which demands great capacity of observation, examination and non-personal perception? These are the two possibilities. The basic content of our human consciousness is the pursuit of pleasure and the avoidance of fear. Is humanity increasingly going to follow entertainment? 21st July, 1981

In his book A WHOLE NEW MIND, Daniel Pink describes how the forces of automation, outsourcing, and an overabundance of products are ushering in a new era.  Call it the Conceptual Age, or the Creative Age.  The important thing, Pink writes, is that if you want to survive  (much less thrive) you need to ask yourself three questions about whatever it is that you do: Can a computer do it for you? Can someone overseas do it cheaper? Is what I’m offering in demand in an age of abundance?

Taylor recalled that he ran into a brick wall every time he tried to deal with the suits back east. As the head of a Xerox research facility in Webster, New York, explained to him, “The computer will never be as important to society as the copier.”73

I think that it's extraordinarily important that we in computer science keep fun in computing. When it started out, it was an awful lot of fun. Of course, the paying customers got shafted every now and then, and after a while we began to take their complaints seriously. We began to feel as if we really were responsible for the successful, error-free perfect use of these machines. I don't think we are. I think we're responsible for stretching them, setting them off in new directions, and keeping fun in the house. I hope the field of computer science never loses its sense of fun. Above all, I hope we don't become missionaries. Don't feel as if you're Bible salesmen. The world has too many of those already. What you know about computing other people will learn. Don't feel as if the key to successful computing is only in your hands. What's in your hands, I think and hope, is intelligence: the ability to see the machine as more than when you were first led up to it, that you can make it more.

Libraries are the foundation of democracy. They are among the few places where people may enter for free and enjoy culture, whether through books, author readings, games, classes, computers, films, or music. Today’s lending libraries have it all, from books to tools to toys to neckties to classes on adulting, thanks to librarians who have adapted to the needs of their communities. I urge you to support your local library and librarians by raising your voice about the importance of reading and accessibility to books and culture.

The Treasury had brought into being an underclass of information workers who were functionaries of the state without having full civil rights, and a sphere of work whose importance was rapidly increasing out of all proportion with the value accorded to the workers who performed it.

Whenever you get a worry (a negative thought that won’t go away), write it down. The act of writing helps to crystallize it and get it out of your head. The worry is now on the paper, a tablet, computer, or phone. Once the worry is written, evaluate it for its accuracy. Is it true or realistic? If not, smile and let it stay on the paper to get it out of your head. If the worry has merit, write down three or four things you can do about the worry, and equally important, write down what you cannot do about the worry. For example, Jeanne had a daughter, Nina, with

Randall kept his eyes glued to the computer screen as she approached. A stranger might have mistaken him for a dedicated Information Sciences professional getting an early start on some important research, but Ruth knew that he was actually scouring eBay for vintage Hasbro action figures…

You “burn” your way into the mind by narrowing the focus to a single word or concept. It’s the ultimate marketing sacrifice. Federal Express was able to put the word overnight into the minds of its prospects because it sacrificed its product line and focused on overnight package delivery only. In a way, the law of leadership—it’s better to be first than to be better—enables the first brand or company to own a word in the mind of the prospect. But the word the leader owns is so simple that it’s invisible. The leader owns the word that stands for the category. For example, IBM owns computer. This is another way of saying that the brand becomes a generic name for the category. “We need an IBM machine.” Is there any doubt that a computer is being requested? You can also test the validity of a leadership claim by a word association test. If the given words are computer, copier, chocolate bar, and cola, the four most associated words are IBM, Xerox, Hershey’s, and Coke. An astute leader will go one step further to solidify its position. Heinz owns the word ketchup. But Heinz went on to isolate the most important ketchup attribute. “Slowest ketchup in the West” is how the company

We must rapidly begin the shift from a thing-oriented society to a person-oriented society. When machines and computers, profit motives and property rights, are considered more important than people, the giant triplets of racism, extreme materialism, and militarism are incapable of being conquered.

There’s a gravity and sense of importance inherent in deep work—whether you’re Ric Furrer smithing a sword or a computer programmer optimizing an algorithm. Gallagher’s theory, therefore, predicts that if you spend enough time in this state, your mind will understand your world as rich in meaning and importance.

Often people think of developments in computation as arising when we make our computers more blazingly fast, so they can compute more stuff, bigger data. It's actually just as important to prune away big parts of the data that aren't relevant to the problem at hand! The fastest computation is the one you don't do.

Okay.” He drew out the word as if unsure which option to choose in case it was the wrong one. “Doc, it is really important that no one else has access to this computer. You can’t allow anyone else to work on it or leave it unattended at any time.” “Colonel Millard, please don’t insult my intelligence. I fully comprehend

Therefore, when you are about to make a big purchase or an important decision—which car or computer to buy, whether to undergo plastic surgery, or whether to sign up for a costly self-help program—don’t ask someone who has just done it. That person will be highly motivated to convince you that it is the right thing to do.

Resnick and Siegel both agreed that learning to code wasn’t just about training the computer engineers of the future. It was a terrifically efficient method to learn how to learn. “Learning to code helps you organize, express, and share your ideas—just like learning to write,” says Resnick. “That’s important for everyone.” Siegel

Technological immodesty is always an acute danger in Technopoly, which encourages it. Technopoly also encourages in-sensitivity to what skills may be lost in the acquisition of new ones. It is important to remember what can be done without computers, and it is also important to remind ourselves of what may be lost when we do use them.

The government spying on people doesn’t literally make programmers write worse code. It just leads eventually to a world in which bad ideas will win. And because this is so important to hackers, they’re especially sensitive to it. They can sense totalitarianism approaching from a distance, as animals can sense an approaching thunderstorm.

Underlying all this activity—in the customhouses, on the wharves, in every place of business—were numbers. Merchants measured out their wares and negotiated prices; customs officers calculated taxes to be levied on imports; scribes and stewards prepared ships’ manifests, recording the values in long columns using Roman numerals. They would have put their writing implements to one side and used either their fingers or a physical abacus to perform the additions, then picked up pen and parchment once again to enter the subtotals from each page on a final page at the end. With no record of the computation itself, if anyone questioned the answer, the entire process would have to be repeated.

Martin Luther King Jr. said, “I’m convinced that if we are to get on the right side of the world revolution, the nation must undergo a radical revolution of values. We must rapidly begin to shift from a thing-oriented society to a person-oriented society…. When machines and computers, profit models and property rights are considered more important than people, the giant triplets of racism, materialism, and militarism are incapable of being conquered.” The context in which Martin Luther King made this comment was a pivotal point in his own career. This is his “Beyond Vietnam” speech, after which virtually all of his former allies turned against him. He was isolated after giving this speech.

our culture attaches too much importance to feelings, he says it’s out of control, it’s not computers that are making everything virtual, it’s mental health. Everyone’s trying to correct their thoughts and improve their feelings and work on their relationships and parenting skills instead of just getting married and raising children like they used to,

Pages must be done longhand. The computer is fast—too fast for our purposes. Writing by computer gets you speed but not depth. Writing by computer is like driving a car at 85 mph. Everything is a blur. “Oh, my God, was that my exit?” Writing by hand is like going 35 mph. “Oh, look, here comes my exit. And look, it has a Sonoco station and a convenience store.

[W]e as a nation must undergo a radical revolution of values. We must rapidly begin the shift from a “thing-oriented” society to a “person-oriented” society. When machines and computers, profit motives and property rights are considered more important than people, the giant triplets of racism, materialism, and militarism are all incapable of being conquered.14

The conceptual vocabulary derived from the classical form of the [multi-armed bandit] problem—the tension between explore/exploit, the importance of the interval, the high value of the 0-0 option [Gittins Index], the minimization of regret—gives us a new way of making sense not only of specific problems that come before us, but of the entire arc of human life. 54

It is important to note that the design of an entire brain region is simpler than the design of a single neuron. As discussed earlier, models often get simpler at a higher level—consider an analogy with a computer. We do need to understand the detailed physics ofsemiconductors to model a transistor, and the equations underlying a single real transistor are complex. A digital circuit that multiples two numbers requires hundreds of them. Yet we can model this multiplication circuit very simply with one or two formulas. An entire computer with billions of transistors can be modeled through its instruction set and register description, which can be described on a handful of written pages of text and formulas. The software programs for an operating system, language compilers, and assemblers are reasonably complex, but modeling a particular program—for example, a speech recognition programbased on hierarchical hidden Markov modeling—may likewise be described in only a few pages of equations. Nowhere in such a description would be found the details ofsemiconductor physics or even of computer architecture. A similar observation holds true for the brain. A particular neocortical pattern recognizer that detects a particular invariant visualfeature (such as a face) or that performs a bandpass filtering (restricting input to a specific frequency range) on sound or that evaluates the temporal proximity of two events can be described with far fewer specific details than the actual physics and chemicalrelations controlling the neurotransmitters, ion channels, and other synaptic and dendritic variables involved in the neural processes. Although all of this complexity needs to be carefully considered before advancing to the next higher conceptual level, much of it can be simplified as the operating principles of the brain are revealed.

What I think I’ve come to understand, more deeply than ever before, is that the enemy is not technology itself, but rather inequality and centralization of power and knowledge, and that the answer to these threats are education, diversity and justice. You don’t need artificial intelligence to work that out. You need actual intelligence. But more importantly, you need all the actual intelligences – every person, animal, plant and bug; every critter, every stone and every natural and unnatural system. You need a crab computer the size of the world. The problem is never technology itself; after all, remember, the computer is like the world. I remain as excited as ever about the power and possibilities of computers and networks as I have ever been; I just abhor the structures of power, injustice, extractive industry and computational thinking in which they are currently embedded. But I hope I’ve shown, to some degree, that it doesn’t need to be this way. There are always other ways of doing technology, just as there are other ways of doing intelligence and politics. Technology, after all, is what we can learn to do.

If you're anything like me, you don't make up your mind about important issues by doing original research, pounding over primary sources and coming to your own conclusions; you listen to people who claim to know what they're talking about - "experts" - and try to determine which of them is more credible. You do your best to gauge who's authentically well-informed and unbiased, who has an agenda and what it is - who's a corporate flack, a partisan hack, or a wacko. I believe that global warming is real and anthropogenic not because I've personally studied Antarctic ice core samples or run my own computer climate models, but because all the people who support the theory are climatologists with no evident investment in the issue, and all the people who dismiss it as alarmist claptrap are shills of the petro-chemical industry or just seem to like debunking things, from the Holocaust to the moon landing. We put our trust - our votes, our money, sometimes our lives - in someone else's authority. In other words, most of us decide not what to believe but whom to believe. And I say believe because for most people, such decisions are matters of faith rather than reason.

New York City manages expertly, and with marvelous predictability, whatever it considers humanly important. Fax machines, computers, automated telephones and even messengers on bikes convey a million bits of data through Manhattan every day to guarantee that Wall Street brokers get their orders placed, confirmed, delivered, at the moment they demand. But leaking roofs cannot be fixed and books cannot be gotten into Morris High in time to meet the fall enrollment. Efficiency in educational provision for low-income children, as in health care and most other elementals of existence, is secreted and doled out by our municipalities as if it were a scarce resource. Like kindness, cleanliness and promptness of provision, it is not secured by gravity of need but by the cash, skin color and class status of the applicant.

The most important use to which he had put his memory was that he had stuffed an unprecedented number of mathematical constants and equations into it. Most of us have very few mathematical constants in our mind, perhaps only the up-to-twelve-times multiplication table. Johnny had put in his mind layers and layers of algebraic verities. These were the explanation of his extraordinary powers of mental calculation.

Finding a situation that catches the key competitor or competitors with conflicting goals is at the heart of many company success stories. The slow Swiss reaction to the Timex watch provides an example. Timex sold its watches through drugstores, rather than through the traditional jewelry store outlets for watches, and emphasized very low cost, the need for no repair, and the fact that a watch was not a status item but a functional part of the wardrobe. The strong sales of the Timex watch eventually threatened the financial and growth goals of the Swiss, but it also raised an important dilemma for them were they to retaliate against it directly. The Swiss had a big stake in the jewelry store as a channel and a large investment in the Swiss image of the watch as a piece of fine precision jewelry. Aggressive retaliation against Timex would have helped legitimize the Timex concept, threatened the needed cooperation of jewelers in selling Swiss watches, and blurred the Swiss product image. Thus the Swiss retaliation to Timex never really came. There are many other examples of this principle at work. Volkswagen’s and American Motor’s early strategies of producing a stripped-down basic transportation vehicle with few style changes created a similar dilemma for the Big Three auto producers. They had a strategy built on trade-up and frequent model changes. Bic’s recent introduction of the disposable razor has put Gillette in a difficult position: if it reacts it may cut into the sales of another product in its broad line of razors, a dilemma Bic does not face.4 Finally, IBM has been reluctant to jump into minicomputers because the move will jeopardize its sales of larger mainframe computers.

Yet with the rise of AI, robots, and 3-D printers, cheap unskilled labor will become far less important. Instead of manufacturing a shirt in Dhaka and shipping it all the way to the United States, you could buy the shirt’s code online from Amazon and print it in New York. The Zara and Prada stores on Fifth Avenue could be replaced by 3-D printing centers in Brooklyn, and some people might even have a printer at home. Simultaneously, instead of calling customer service in Bangalore to complain about your printer, you could talk with an AI representative in the Google cloud (whose accent and tone of voice would be tailored to your preferences). The newly unemployed workers and call center operators in Dhaka and Bangalore don’t have the education necessary to switch to designing fashionable shirts or writing computer code—so how will they survive?

The technological battles of today will determine the outcome of any future world war. It will be won with new weapons—lasers and charged particle weapons for defense, “stealth” technology to make attacking aircraft invisible, and space satellites for navigation and missile firing. Computer capability may be the most important element of all to winning the conflict, being the controlling technology, insuring the accuracy of weapons firing.

I want my kids to look back some day and see that mommy was a praying mommy. A mom who was always in the Word. I want them to remember me on my knees, with a Bible at my side always. I don’t want them to look back and remember mommy being in front of the computer all of the time or in front of the TV. Or filling the house with needless stuff from another shopping excursion. I want them to see that God was the most important thing in my life.

Because English has so many words of foreign origin, and words that look the same but mean something different depending on their context, and words that are in flux, opening and closing like flowers in time-lapse photography, the human element is especially important if we are to stay on top of the computers, which, in their determination to do our job for us, make decisions so subversive that even professional wordsmiths are taken by surprise.

I want economists to quit concerning themselves with allocation problems, per se, with the problem, as it has been traditionally defined. The vocabulary of science is important here, and as T. D. Weldon once suggested, the very word "problem" in and of itself implies the presence of "solution." Once the format has been established in allocation terms, some solution is more or less automatically suggested. Our whole study becomes one of applied maximization of a relatively simple computational sort. Once the ends to be maximized are provided by the social welfare function, everything becomes computational, as my colleague, Rutledge Vining, has properly noted. If there is really nothing more to economics than this, we had as well turn it all over to the applied mathematicians. This does, in fact, seem to be the direction in which we are moving, professionally, and developments of note, or notoriety, during the past two decades consist largely in improvements in what are essentially computing techniques, in the mathematics of social engineering. What I am saying is that we should keep these contributions in perspective; I am urging that they be recognized for what they are, contributions to applied mathematics, to managerial science if you will, but not to our chosen subject field which we, for better or for worse, call "economics.

In Anton Chekhov’s play the Three Sisters, sister Masha refuses ‘to live and not know why the cranes fly, why children are born, why the stars are in the sky. Either you know and you’re alive or it’s all nonsense, all dust in the wind.’ Why? Why? The striving to know is what frees us from the bonds of self, said Einstein. It’s the striving to know, rather than our knowledge-which is always tentative and partial- that is important. Instead of putting computers in our elementary schools, we should take the children out into nature, away from those virtual worlds in which they spend unconscionable hours, and let them see an eclipsed Moon rising in the east, a pink pearl. Let them stand in a morning dawn and watch a slip of a comet fling its trail around the Sun…Let the children know. Let them know that nothing, nothing will find in the virtual world of e-games, television, or the Internet matters half as much as a glitter of strs on an inky sky, drawing our attention into the incomprehensible mystery of why the universe is here at all, and why we are here to observe it. The winter Milky Way rises in the east, one trillion individually invisible points of light, one trillion revelations of the Ultimate Mystery, conferring on the watcher a dignity, a blessedness, that confounds the dull humdrum of the commonplace and opens a window to infinity.

The number 65,536 is an awkward figure to everyone except a hacker, who recognizes it more readily than his own mother's date of birth: It happens to be a power of 2—216 power to be exact—and even the exponent 16 is equal to 24, and 4 is equal to 22. Along with 256; 32,768; and 2,147,483,648; 65,536 is one of the foundation stones of the hacker universe, in which 2 is the only really important number because that's how many digits a computer can recognize.

I’d thought it strange, after the financial crisis, in which Goldman had played such an important role, that the only Goldman Sachs employee who had been charged with any sort of crime was the employee who had taken something from Goldman Sachs. I’d thought it even stranger that government prosecutors had argued that the Russian shouldn’t be freed on bail because the Goldman Sachs computer code, in the wrong hands, could be used to “manipulate markets in unfair ways.

If biological algorithms are the important part of what makes us who we are, rather than the physical stuff, then it’s a possibility that we will someday be able to copy our brains, upload them, and live forever in silica. But there’s an important question here: is it really you? Not exactly. The uploaded copy has all your memories and believes it was you, just there, standing outside the computer, in your body. Here’s the strange part: if you die and we turn on the simulation one second later, it would be a transfer. It would be no different to beaming up in Star Trek, when a person is disintegrated, and then a new version is reconstituted a moment later. Uploading may not be all that different from what happens to you each night when you go to sleep: you experience a little death of your consciousness, and the person who wakes up on your pillow the next morning inherits all your memories, and believes him or herself to be you. Are

Selection is also important in non-biological contexts. In designing machines and computer programs, it has been found that a very efficient way to find the optimal design is to successively make small, random changes to the design, keeping versions that do the job well, and discarding others. This is increasingly being used to solve difficult design problems for complex systems. In this process, the engineer does not have a design in mind, but only the desired function. Adaptations

Indeed, already today computers and algorithms are beginning to function as clients in addition to producers. In the stock exchange, for example, algorithms are becoming the most important buyers of bonds, shares and commodities. Similarly in the advertisement business, the most important customer of all is an algorithm: the Google search algorithm. When people design Web pages, they often cater to the taste of the Google search algorithm rather than to the taste of any human being.

Visual over-stimulation is a distraction from concentration and evokes the same sort of reactions as over-stimulation from noise. But the source might surprise you. Even fussy clothing moving around can be a visual distraction, or too many people in the room, or too many machines with moving parts. For those who work outside, a windy day is a triple-threat—with sound, sight, and touch all being affected. Cars moving, lights, signs, crowds, all this visual chaos can exhaust the AS person. Back in the office, too many computer screens, especially older ones with TV-style monitors, and sickly, flickering, unnatural fluorescent lighting were both high on the trigger list. The trouble with fluorescent light is threefold: Cool-white and energy-efficient fluorescent lights are the most commonly used in public buildings. They do not include the color blue, “the most important part for humans,” in their spectrum. In addition to not having the psychological benefits of daylight, they give off toxins and are linked to depression, depersonalization, aggression, vertigo, anxiety, stress, cancer, and many other forms of ill health. It’s true. There’s an EPA report to prove it (Edwards and Torcellini 2002). Flickering fluorescent lights, which can trigger epileptic seizures, cause strong reactions in AS individuals, including headaches, confusion, and an inability to concentrate. Even flickering that is not obvious to others can be perceived by some on the spectrum.

At the same time, such technology—from the television to the computer and phone—can put pressure on the brain by presenting it with more information, and of a type of information, that makes it hard for us to keep up. That is particularly true of interactive electronics, delivering highly relevant, stimulating social content, and with increasing speed. The onslaught taxes our ability to attend, to pay attention, arguably among the most important, powerful, and uniquely human of our gifts.

On the other hand, it has a number of other advantages for power. For one thing, it diverts people, it atomizes people. When you're sitting in front of your tube, you're alone. I mean, there's something about human beings that just makes face-to-face contact very different from banging around on a computer terminal and getting some noise coming back―that's very impersonal, and it breaks down human relations. Well, that's obviously a good result from the point of view of people with power―because it's extremely important to drive human sentiments out of people if you just want them to be passive and obedient and under control. So if you can eliminate things like face-to-face contact and direct interaction, and just turn people into what's caricatured as kind of an M.I.T. nerd―you know, somebody who's got antennae coming out of his head, and is wired into his computer all the time―that's a real advantage, because then you've made them more inhuman, and therefore more controllable.

When problems of transference are involved, as they usually are, psychotherapy is, among other things, a process of map-revising. Patients come to therapy because their maps are clearly not working. But how they may cling to them and fight the process every step of the way! Frequently their need to cling to their maps and fight against losing them is so great that therapy becomes impossible, as it did in the case of the computer technician. Initially he requested a Saturday appointment. After three sessions he stopped coming because he took a job doing lawn-maintenance work on Saturdays and Sundays. I offered him a Thursday-evening appointment. He came for two sessions and then stopped because he was doing overtime work at the plant. I then rearranged my schedule so I could see him on Monday evenings, when, he had said, overtime work was unlikely. After two more sessions, however, he stopped coming because Monday-night overtime work seemed to have picked up. I confronted him with the impossibility of doing therapy under these circumstances. He admitted that he was not required to accept overtime work. He stated, however, that he needed the money and that the work was more important to him than therapy. He stipulated that he could see me only on those Monday evenings when there was no overtime work to be done and that he would call me at four o’clock every Monday afternoon to tell me if he could keep his appointment that evening. I told him that these conditions were not acceptable to me, that I was unwilling to set aside my plans every Monday evening on the chance that he might be able to come to his sessions. He felt that I was being unreasonably rigid, that I had no concern for his needs, that I was interested only in my own time and clearly cared nothing for him, and that therefore I could not be trusted. It was on this basis that our attempt to work together was terminated, with me as another landmark on his old map. The problem of transference is not simply a

This gets at the essence of why quantum computers are so unique and useful. An ordinary digital computer, in a sense, is like several accountants toiling away independently in an office, each doing one calculation separately, and handing off their answers from one to another. But a quantum computer is like a roomful of interacting accountants, each one simultaneously computing, and, importantly, communicating with each other via entanglement. So we say that they are coherently solving this problem together.

By virtue of this filling of the causal gap, the most important demand of intuition – namely that one's conscious efforts have the capacity to affect one's own bodily actions – is beautifully met by the quantum ontology. And in this age of computers, and information, and flashing pixels there is nothing counterintuitive about the ontological idea that nature is built – not out of ponderous classically conceived matter but – out of events, and out of informational waves and signals that create tendencies for these events to occur.

Right now, my husband, Ronnie, is in his home office on his computer, forwarding political diatribes and jokes to his ditto compatriots who watch the same television talk shows and listen to the same radio talk show hosts parroting each other in a wide echo chamber. Although I can’t imagine why, it invigorates him. When he finally does come up for air, he has his chest out and a broad butter smile smeared over his face. He looks as if he has accomplished something important, as if he knows something the rest of the world doesn’t know.

An important component in the history of knowledge is the development of techniques that increase the potency of “words and diagrams.” What is true historically is also true for the individual: An important part of becoming a good learner is learning how to push out the frontier of what we can express with words. From this point of view the question about the bicycle is not whether or not one can “tell” someone “in full” how to ride but rather what can be done to improve our ability to communicate with others (and with ourselves in internal dialogues)

used to produce more robots, and so on. These corporations can grow and expand to the far reaches of the galaxy, and all they need are robots and computers – they don’t need humans even to buy their products. Indeed, already today computers and algorithms are beginning to function as clients in addition to producers. In the stock exchange, for example, algorithms are becoming the most important buyers of bonds, shares and commodities. Similarly in the advertisement business, the most important customer of all is an algorithm: the Google search algorithm.

Hey Pete. So why the leave from social media? You are an activist, right? It seems like this decision is counterproductive to your message and work." A: The short answer is I’m tired of the endless narcissism inherent to the medium. In the commercial society we have, coupled with the consequential sense of insecurity people feel, as they impulsively “package themselves” for public consumption, the expression most dominant in all of this - is vanity. And I find that disheartening, annoying and dangerous. It is a form of cultural violence in many respects. However, please note the difference - that I work to promote just that – a message/idea – not myself… and I honestly loath people who today just promote themselves for the sake of themselves. A sea of humans who have been conditioned into viewing who they are – as how they are seen online. Think about that for a moment. Social identity theory run amok. People have been conditioned to think “they are” how “others see them”. We live in an increasing fictional reality where people are now not only people – they are digital symbols. And those symbols become more important as a matter of “marketing” than people’s true personality. Now, one could argue that social perception has always had a communicative symbolism, even before the computer age. But nooooooothing like today. Social media has become a social prison and a strong means of social control, in fact. Beyond that, as most know, social media is literally designed like a drug. And it acts like it as people get more and more addicted to being seen and addicted to molding the way they want the world to view them – no matter how false the image (If there is any word that defines peoples’ behavior here – it is pretention). Dopamine fires upon recognition and, coupled with cell phone culture, we now have a sea of people in zombie like trances looking at their phones (literally) thousands of times a day, merging their direct, true interpersonal social reality with a virtual “social media” one. No one can read anymore... they just swipe a stream of 200 character headlines/posts/tweets. understanding the world as an aggregate of those fragmented sentences. Massive loss of comprehension happening, replaced by usually agreeable, "in-bubble" views - hence an actual loss of variety. So again, this isn’t to say non-commercial focused social media doesn’t have positive purposes, such as with activism at times. But, on the whole, it merely amplifies a general value system disorder of a “LOOK AT ME! LOOK AT HOW GREAT I AM!” – rooted in systemic insecurity. People lying to themselves, drawing meaningless satisfaction from superficial responses from a sea of avatars. And it’s no surprise. Market economics demands people self promote shamelessly, coupled with the arbitrary constructs of beauty and success that have also resulted. People see status in certain things and, directly or pathologically, use those things for their own narcissistic advantage. Think of those endless status pics of people rock climbing, or hanging out on a stunning beach or showing off their new trophy girl-friend, etc. It goes on and on and worse the general public generally likes it, seeking to imitate those images/symbols to amplify their own false status. Hence the endless feedback loop of superficiality. And people wonder why youth suicides have risen… a young woman looking at a model of perfection set by her peers, without proper knowledge of the medium, can be made to feel inferior far more dramatically than the typical body image problems associated to traditional advertising. That is just one example of the cultural violence inherent. The entire industry of social media is BASED on narcissistic status promotion and narrow self-interest. That is the emotion/intent that creates the billions and billions in revenue these platforms experience, as they in turn sell off people’s personal data to advertisers and governments. You are the product, of course.

Dataism is most firmly entrenched in its two mother disciplines: computer science and biology. Of the two biology is the more important. It was biology’s embrace of Dataism that turned a limited breakthrough in computer science into a world-shattering cataclysm that may completely transform the very nature of life. You may not agree with the idea that organisms are algorithms, and that giraffes, tomatoes and human beings are just different methods for processing data. But you should know that this is current scientific dogma, and it is changing our world beyond recognition.

The unsatisfying but honest answer is that I don’t know for sure, but probably not. The beast machine theory proposes that consciousness in humans and other animals arose in evolution, emerges in each of us during development, and operates from moment to moment in ways intimately connected with our status as living systems. All of our experiences and perceptions stem from our nature as self-sustaining living machines that care about their own persistence. My intuition – and again it’s only an intuition – is that the materiality of life will turn out to be important for all manifestations of consciousness. One reason for this is that the imperative for regulation and self-maintenance in living systems isn’t restricted to just one level, such as the integrity of the whole body. Self-maintenance for living systems goes all the way down, even down to the level of individual cells. Every cell in your body – in any body – is continually regenerating the conditions necessary for its own integrity over time. The same cannot be said for any current or near-future computer, and would not be true even for a silicon beast machine of the sort I just described.

In this section I have tried to demonstrate that Darwinian thinking does live up to its billing as universal acid: it turns the whole traditional world upside down, challenging the top-down image of designs flowing from that genius of geniuses, the Intelligent Designer, and replacing it with the bubble-up image of mindless, motiveless cyclical processes churning out ever-more robust combinations until they start replicating on their own, speeding up the design process by reusing all the best bits over and over. Some of these earliest offspring eventually join forces (one major crane, symbiosis), which leads to multicellularity (another major crane), which leads to the more effective exploration vehicles made possible by sexual reproduction (another major crane), which eventually leads in one species to language and cultural evolution (cranes again), which provide the medium for literature and science and engineering, the latest cranes to emerge, which in turn permits us to “go meta” in a way no other life form can do, reflecting in many ways on who and what we are and how we got here, modeling these processes in plays and novels, theories and computer simulations, and ever-more thinking tools to add to our impressive toolbox. This perspective is so widely unifying and at the same time so generous with detailed insights that one might say it’s a power tool, all on its own. Those who are still strangely repelled by Darwinian thinking must consider the likelihood that if they try to go it alone with only the hand tools of tradition, they will find themselves laboring far from the cutting edge of research on important phenomena as diverse as epidemics and epistemology, biofuels and brain architecture, molecular genetics, music, and morality.

Here's my suggestion to musicians: When you're about to reach for whatever musical tools you use, virtual or real, guitar or computer, ask yourself if you're doing so to save time or because you don't feel like straining your brain. Or, more important, ask yourself if you have anything to say yet. If not, keep working (or playing) upstairs, in your brain. Sure, it's okay to react to what happens when playing with the tools -- or the way a chord sounds, a loop, or even an accident. But make sure you express what you wanted to say or what you imagined. Don't let your tools make you their bitch.

And here, the children who had learned that the experimenter was unreliable were more likely to eat the marshmallow before she came back, losing the opportunity to earn a second treat. Failing the marshmallow test—and being less successful in later life—may not be about lacking willpower. It could be a result of believing that adults are not dependable: that they can’t be trusted to keep their word, that they disappear for intervals of arbitrary length. Learning self-control is important, but it’s equally important to grow up in an environment where adults are consistently present and trustworthy.

A file on a hard disk does indeed contain information of the kind that objectively exists. The fact that the bits are discernible instead of being scrambled into mush - the way heat scrambles things - is what makes them bits. But if the bits can potentially mean something to someone, they can only do so if they are experienced. When that happens, a commonality of culture is enacted between the storer and the retriever of the bits. Experience is the only process that can de-alienate information. Information of the kind that purportedly wants to be free is nothing but a shadow of our own minds, and wants nothing on its own. It will not suffer if it doesn't get what it wants. But if you want to make the transition from the old religion, where you hope God will give you an afterlife, to the new religion, where you hope to become immortal by getting uploaded into a computer, then you have to believe information is real and alive. So for you, it will be important to redesign human institutions like art, the economy, and the law to reinforce the perception that information is alive. You demand that the rest of us live in your new conception of a state religion. You need us to deify information to reinforce your faith.

It uses the greatest random-access indexing system ever invented—one that computer scientists haven’t come even close to replicating. Whereas an index in the back of a book provides a single address—a page number—for each important subject, each subject in the brain has hundreds if not thousands of addresses. Our internal memories are associational, nonlinear. You don’t need to know where a particular memory is stored in order to find it. It simply turns up—or doesn’t—when you need it. Because of the dense network that interconnects our memories, we can skip around from memory to memory and idea to idea very rapidly.

The central dogma of computational trinitarianism holds that Logic, Languages, and Categories are but three manifestations of one divine notion of computation. There is no preferred route to enlightenment: each aspect provides insights that comprise the experience of computation in our lives. Computational trinitarianism entails that any concept arising in one aspect should have meaning from the perspective of the other two. If you arrive at an insight that has importance for logic, languages, and categories, then you may feel sure that you have elucidated an essential concept of computation—you have made an enduring scientific discovery.

Clearly, just imprinting a document in clay is not enough to guarantee efficient, accurate and convenient data processing. That requires methods of organisation like catalogues, methods of reproduction like photocopy machines, methods of rapid and accurate retrieval like computer algorithms, and pedantic (but hopefully cheerful) librarians who know how to use these tools. Inventing such methods proved to be far more difficult than inventing writing. Many writing systems developed independently in cultures distant in time and place from each other. Every decade archaeologists discover another few forgotten scripts. Some of them might prove to be even older than the Sumerian scratches in clay. But most of them remain curiosities because those who invented them failed to invent efficient ways of cataloguing and retrieving data. What set apart Sumer, as well as pharaonic Egypt, ancient China and the Inca Empire, is that these cultures developed good techniques of archiving, cataloguing and retrieving written records. They obviously had no computers or photocopying machines, but they did have catalogues, and far more importantly, they did create special schools in which professional scribes, clerks, librarians and accountants were rigorously trained in the secrets of data-processing.

It’s important to remember that market participants have always tended to pull back and do less trading during market crises, suggesting that any reluctance by quants to trade isn’t so very different from past approaches. If anything, markets have become more placid as quant investors have assumed dominant positions. Humans are prone to fear, greed, and outright panic, all of which tend to sow volatility in financial markets. Machines could make markets more stable, if they elbow out individuals governed by biases and emotions. And computer-driven decision-making in other fields, such as the airline industry, has generally led to fewer mistakes.

He and Egan also spoke for hours on the phone many nights. One topic they wrestled with was his belief, which came from his Buddhist studies, that it was important to avoid attachment to material objects. Our consumer desires are unhealthy, he told her, and to attain enlightenment you need to develop a life of nonattachment and nonmaterialism. He even sent her a tape of Kobun Chino, his Zen teacher, lecturing about the problems caused by craving and obtaining things. Egan pushed back. Wasn’t he defying that philosophy, she asked, by making computers and other products that people coveted? “He was irritated by the dichotomy, and we had exuberant debates about it,” Egan recalled.

The medium of the debate has also changed the nature of the debate. Advertisements for hair dryers, news about pop stars, stories about the bond market, notes from our friends, and far-right memes arrive in a constant stream on our telephones or computers, each one apparently carrying the same weight and importance. If, in the past, most political conversations took place in a legislative chamber, the columns of a newspaper, a television studio, or a bar, now they often take place online, in a virtual reality where readers and writers feel distant from one another and from the issues they describe, where everyone can be anonymous and no one needs to take responsibility for what they say.

Our actions and the problems they create are connected, all around the world. Goats in the Mongolian desert add to air pollution in California; throwing away a computer helps create an illegal economy that makes people sick in Ghana; a loophole in a treaty contributes to deforestation in the American South to generate electricity in England; our idea of the perfect carrot could mean that many others rot in the fields. We can’t pretend anymore that the things we do and wear and eat and use exist only for us, that they don’t have a wider impact beyond our individual lives, which also means that we’re all in this together. • A lack of transparency on the part of governments and corporations has meant that our actions have consequences we are unaware of (see above), and if we knew about them, we would be surprised and angry. (Now, maybe, you are.) • It’s important to understand your actions and larger social, cultural, industrial, and economic processes in context, because then you can better understand which specific policies and practices would make a difference, and what they would achieve. • Living in a way that honors your values is important, even if your personal habits aren’t going to fix everything. We need to remember what is at stake, and the small sacrifices we make may help us do that, if you need reminding. If we know what our sacrifices mean and why they might matter, we might be more willing to make them.

When I was a teen, I think I was a touch too enamored of the idea that life’s most important questions are binary, meaning that one answer is always Right, and all the rest of the answers are Wrong. I think I was enchanted by the model of computer programming, whose questions can only be answered in one of two ways: 1 or 0, the machine-code version of Yes or No, True or False. Even the multiple-choice questions of my quizzes and tests could be approached through the oppositional logic of the binary. If I didn’t immediately recognize one of the possible answers as correct, I could always try to reduce my choices by a process of elimination, looking for terms such as “always” or “never” and seeking out invalidating exceptions.

Given the central place that technology holds in our lives, it is astonishing that technology companies have not put more resources into fixing this global problem. Advanced computer systems and artificial intelligence (AI) could play a much bigger role in shaping diagnosis and prescription. While the up-front costs of using such technology may be sizeable, the long-term benefits to the health-care system need to be factored into value assessments. We believe that AI platforms could improve on the empirical prescription approach. Physicians work long hours under stressful conditions and have to keep up to date on the latest medical research. To make this work more manageable, the health-care system encourages doctors to specialize. However, the vast majority of antibiotics are prescribed either by generalists (e.g., general practitioners or emergency physicians) or by specialists in fields other than infectious disease, largely because of the need to treat infections quickly. An AI system can process far more information than a single human, and, even more important, it can remember everything with perfect accuracy. Such a system could theoretically enable a generalist doctor to be as effective as, or even superior to, a specialist at prescribing. The system would guide doctors and patients to different treatment options, assigning each a probability of success based on real-world data. The physician could then consider which treatment was most appropriate.

Taking least squares is no longer optimal, and the very idea of ‘accuracy’ has to be rethought. This simple fact is as important as it is neglected. This problem is easily illustrated in the Logistic Map: given the correct mathematical formula and all the details of the noise model – random numbers with a bell-shaped distribution – using least squares to estimate α leads to systematic errors. This is not a question of too few data or insufficient computer power, it is the method that fails. We can compute the optimal least squares solution: its value for α is too small at all noise levels. This principled approach just does not apply to nonlinear models because the theorems behind the principle of least squares repeatedly assume bell-shaped distributions.

Hertzfeld replied that he needed a couple more days to finish the Apple II product he was in the middle of. “What’s more important than working on the Macintosh?” Jobs demanded. Hertzfeld explained that he needed to get his Apple II DOS program in good enough shape to hand it over to someone. “You’re just wasting your time with that!” Jobs replied. “Who cares about the Apple II? The Apple II will be dead in a few years. The Macintosh is the future of Apple, and you’re going to start on it now!” With that, Jobs yanked out the power cord to Hertzfeld’s Apple II, causing the code he was working on to vanish. “Come with me,” Jobs said. “I’m going to take you to your new desk.” Jobs drove Hertzfeld, computer and all, in his silver Mercedes to the Macintosh offices.

Corvallis sometimes thought back on the day, three decades ago, when Richard Forthrast had reached down and plucked him out of his programming job at Corporation 9592 and given him a new position, reporting directly to Richard. Corvallis had asked the usual questions about job title and job description. Richard had answered, simply, “Weird stuff.” When this proved unsatisfactory to the company’s ISO-compliant HR department, Richard had been forced to go downstairs and expand upon it. In a memorable, extemporaneous work of performance art in the middle of the HR department’s open-plan workspace, he had explained that work of a routine, predictable nature could and should be embodied in computer programs. If that proved too difficult, it should be outsourced to humans far away. If it was somehow too sensitive or complicated for outsourcing, then “you people” (meaning the employees of the HR department) needed to slice it and dice it into tasks that could be summed up in job descriptions and advertised on the open employment market. Floating above all of that, however, in a realm that was out of the scope of “you people,” was “weird stuff.” It was important that the company have people to work on “weird stuff.” As a matter of fact it was more important than anything else. But trying to explain “weird stuff” to “you people” was like explaining blue to someone who had been blind since birth, and so there was no point in even trying. About then, he’d been interrupted by a spate of urgent text messages from one of the company’s novelists, who had run aground on some desolate narrative shore and needed moral support, and so the discussion had gone no further. Someone had intervened and written a sufficiently vague job description for Corvallis and made up a job title that would make it possible for him to get the level of compensation he was expecting. So it had all worked out fine. And it made for a fun story to tell on the increasingly rare occasions when people were reminiscing about Dodge back in the old days. But the story was inconclusive in the sense that Dodge had been interrupted before he could really get to the essence of what “weird stuff” actually was and why it was so important. As time went on, however, Corvallis understood that this very inconclusiveness was really a fitting and proper part of the story.

A very important function of the nervous system, and, as we have said, a function equally in demand for computing machines, is that of memory, the ability to preserve the results of past operations for use in the future. It will be seen that the uses of the memory are highly various, and it is improbable that any single mechanism can satisfy the demands of all of them. There is first the memory which is necessary for the carrying out of a current process, such as a multiplication, in which the intermediate results are of no value once the process is completed, and in which the operating apparatus should then be released for further use. Such a memory should record quickly, be read quickly, and be erased quickly. On the other hand, there is the memory which is intended to be part of the files, the permanent record, of the machine or the brain, and to contribute to the basis of all its future behavior, at least during a single run of the machine. Let it be remarked parenthetically that an important difference between the way in which we use the brain and the machine is that the machine is intended for many successive runs, either with no reference to each other, or with a minimal, limited reference, and that it can be cleared between such runs; while the brain, in the course of nature, never even approximately clears out its past records. Thus the brain, under normal circumstances, is not the complete analogue of the computing machine but rather the analogue of a single run on such a machine. We shall see later that this remark has a deep significance in psychopathology and in psychiatry.

RENEWABLE ENERGY REVOLUTION: SOLAR + WIND + BATTERIES In addition to AI, we are on the cusp of another important technological revolution—renewable energy. Together, solar photovoltaic, wind power, and lithium-ion battery storage technologies will create the capability of replacing most if not all of our energy infrastructure with renewable clean energy. By 2041, much of the developed world and some developing countries will be primarily powered by solar and wind. The cost of solar energy dropped 82 percent from 2010 to 2020, while the cost of wind energy dropped 46 percent. Solar and onshore wind are now the cheapest sources of electricity. In addition, lithium-ion battery storage cost has dropped 87 percent from 2010 to 2020. It will drop further thanks to the massive production of batteries for electrical vehicles. This rapid drop in the price of battery storage will make it possible to store the solar/wind energy from sunny and windy days for future use. Think tank RethinkX estimates that with a $2 trillion investment through 2030, the cost of energy in the United States will drop to 3 cents per kilowatt-hour, less than one-quarter of today’s cost. By 2041, it should be even lower, as the prices of these three components continue to descend. What happens on days when a given area’s battery energy storage is full—will any generated energy left unused be wasted? RethinkX predicts that these circumstances will create a new class of energy called “super power” at essentially zero cost, usually during the sunniest or most windy days. With intelligent scheduling, this “super power” can be used for non-time-sensitive applications such as charging batteries of idle cars, water desalination and treatment, waste recycling, metal refining, carbon removal, blockchain consensus algorithms, AI drug discovery, and manufacturing activities whose costs are energy-driven. Such a system would not only dramatically decrease energy cost, but also power new applications and inventions that were previously too expensive to pursue. As the cost of energy plummets, the cost of water, materials, manufacturing, computation, and anything that has a major energy component will drop, too. The solar + wind + batteries approach to new energy will also be 100-percent clean energy. Switching to this form of energy can eliminate more than 50 percent of all greenhouse gas emissions, which is by far the largest culprit of climate change.

Finnish agriculture is so dully over-mechanised that it defies all statistics and diagrams. Every village in Finland, far from being an embodiment of farming and the rural way of life, reminds one of a technological exposition, whereas serenity and the values of tradition are still visible in the countryside of all other European countries. Finland — at least a few years ago — was the world leader of electronic financial transfers. Ideas about electronic systems and computers enter our silly heads like knives cut through butter. Personally, those who feel so important and busy that they couldn’t survive without mobile phones in their cars, I would send to the mountains for a year, or rather five years, for them to reflect on the values of life. But perhaps that wouldn’t help either: if a mind is dull, it’ll stay dull.

But the conclusion of the HOS theory critically depends on the assumption that productive resources can move freely across economic activities. This assumption means that capital and labour released from any one activity can immediately and without cost be asbsorbed by other activities. With this assumption-known as the assumption of 'perfect factor mobility' among economists-adjustments to changing trade patterns pose no problem. If a steel mill shuts down due to an increase in imports because, say the government reduces tariffs, the resources employed in the industry (the workers, the buildings, the blast furnaces) will be employed (at the same or higher levels of productivity and thus higher returns) by another industry that has become relatively more profitable, say, the computer industry. No one loses from the process.

To which I might add that questions about the psychic, political and social effects of information are as applicable to the computer as to television. Although I believe the computer to be a vastly overrated technology, I mention it here because, clearly, Americans have accorded it their customary mindless inattention; which means they will use it as they are told, without a whimper. Thus, a central thesis of computer technology—that the principal difficulty we have in solving problems stems from insufficient data—will go unexamined. Until, years from now, when it will be noticed that the massive collection and speed-of-light retrieval of data have been of great value to large-scale organizations but have solved very little of importance to most people and have created at least as many problems for them as they may have solved.

Cultivate skepticism as a virtue. In this exercise you will upgrade what Professor Neil Postman of New York University calls your “crap detector.” The term is from Ernest Hemingway, who said that it was one of the writer’s most important tools. Each day, keep an eye peeled for the most telling instance of lying, deceiving, and distortion or concealment of the truth. This will take no extra time at all, since these messages and images are thrust at you continually, unless you live in a cabin at Walden Pond without a television set or computer. For example: • Billboards • Advertising flyers • Newspapers • Commercials on radio or TV (and sometimes the newscasts!) • Opinions thrust on us by other people. For the top choice each day, identify the technique of deception or distortion being used. (It’s going to be a hard call!) Share your examples with friends and colleagues, and invite their comments and observations.

About sixty thousand different thoughts are said to go through a person’s mind over the course of a day. Ninety-five percent of that is made up of the same things we’d been thinking about the day before, and 80 percent of those thoughts are believed to be negative. In my days as a maximalist, I lived in fear of my future, constantly worrying about my career and how others saw me. Forget about that 80 percent I mentioned a moment earlier—practically all my thoughts were negative. So, how do you make a slow computer like that work properly? Since our fifty-thousand-year-old hardware isn’t going to change, we need to get rid of the extra load that isn’t needed. Rather than trying to add more and more, running out of disk space and exhausting ourselves in the process, I think it’s time we started thinking about subtracting and refining to enhance the truly important things that might be buried deep down underneath all that excess.

A specter is haunting the modern world, the specter of crypto anarchy. Computer technology is on the verge of providing the ability for individuals and groups to communicate and interact with each other in a totally anonymous manner. Two persons may exchange messages, conduct business, and negotiate electronic contracts without ever knowing the true name, or legal identity, of the other. Interactions over networks will be untraceable, via extensive rerouting of encrypted packets and tamper-proof boxes which implement cryptographic protocols with nearly perfect assurance against any tampering. Reputations will be of central importance, far more important in dealings than even the credit ratings of today. These developments will alter completely the nature of government regulation, the ability to tax and control economic interactions, the ability to keep information secret, and will even alter the nature of trust and reputation.

Unlike other features on OkCupid, there is no visual component to match percentage. The number between two people only reflects what you might call their inner selves—everything about what they believe, need, and want, even what they think is funny, but nothing about what they look like. Judging by just this compatibility measure, the four largest racial groups on OkCupid—Asian, black, Latino, and white—all get along about the same.1 In fact, race has less effect on match percentage than religion, politics, or education. Among the details that users believe are important, the closest comparison to race is Zodiac sign, which has no effect at all. To a computer not acculturated to the categories, “Asian” and “black” and “white” could just as easily be “Aries” and “Virgo” and “Capricorn.” But this racial neutrality is only in theory; things change once the users’ own opinions, and not just the color-blind workings of an algorithm, come into play.

What’s more, AI researchers have begun to realize that emotions may be a key to consciousness. Neuroscientists like Dr. Antonio Damasio have found that when the link between the prefrontal lobe (which governs rational thought) and the emotional centers (e.g., the limbic system) is damaged, patients cannot make value judgments. They are paralyzed when making the simplest of decisions (what things to buy, when to set an appointment, which color pen to use) because everything has the same value to them. Hence, emotions are not a luxury; they are absolutely essential, and without them a robot will have difficulty determining what is important and what is not. So emotions, instead of being peripheral to the progress of artificial intelligence, are now assuming central importance. If a robot encounters a raging fire, it might rescue the computer files first, not the people, since its programming might say that valuable documents cannot be replaced but workers always can be. It is crucial that robots be programmed to distinguish between what is important and what is not, and emotions are shortcuts the brain uses to rapidly determine this. Robots would thus have to be programmed to have a value system—that human life is more important than material objects, that children should be rescued first in an emergency, that objects with a higher price are more valuable than objects with a lower price, etc. Since robots do not come equipped with values, a huge list of value judgments must be uploaded into them. The problem with emotions, however, is that they are sometimes irrational, while robots are mathematically precise. So silicon consciousness may differ from human consciousness in key ways. For example, humans have little control over emotions, since they happen so rapidly and because they originate in the limbic system, not the prefrontal cortex of the brain. Furthermore, our emotions are often biased.

Well, what we called a computer in 1977 was really a kind of electronic abacus, but...' 'Oh, now, don't underestimate the abacus,' said Reg. 'In skilled hands it's a very sophisticated calculating device. Furthermore it requires no power, can be made with any materials you have to hand, and never goes bing in the middle of an important piece of work.' 'So an electric one would be particularly pointless,' said Richard. 'True enough,' conceded Reg. 'There really wasn't a lot this machine could do that you couldn't do yourself in half the time with a lot less trouble,' said Richard, 'but it was, on the other hand, very good at being a slow and dim-witted pupil.' Reg looked at him quizzically. 'I had no idea they were supposed to be in short supply,' he said. 'I could hit a dozen with a bread roll from where I'm sitting.' 'I'm sure. But look at it this way. What really is the point of trying to teach anything to anybody?' This question seemed to provoke a murmur of sympathetic approval from up and down the table.

C. P. Snow was right about the need to respect both of “the two cultures,” science and the humanities. But even more important today is understanding how they intersect. Those who helped lead the technology revolution were people in the tradition of Ada, who could combine science and the humanities. From her father came a poetic streak and from her mother a mathematical one, and it instilled in her a love for what she called “poetical science.” Her father defended the Luddites who smashed mechanical looms, but Ada loved how punch cards instructed those looms to weave beautiful patterns, and she envisioned how this wondrous combination of art and technology could be manifest in computers. (...) This innovation will come from people who are able to link beauty to engineering, humanity to technology, and poetry to processors. In other words, it will come from the spiritual heirs of Ada Lovelace, creators who can flourish where the arts intersect with the sciences and who have a rebellious sense of wonder that opens them to the beauty of both.

They recruited senior research scientists from different local companies as subjects, and asked them to bring with them to the sessions at least two different problems on which they had been working without success for at least three months. These subjects were executives at Hewlett-Packard, fellows at the Stanford Research Institute, architects, and designers. Among them were the people who would design the first silicon chips, create word processing, and invent the computer mouse. Fadiman and his colleagues administered one-hundred-microgram doses of LSD to the subjects and guided them through the next hours as they puzzled over their intractable problems.*3 The subjects worked on their problems and took a variety of psychometric tests. The results were striking. Many of the subjects experienced flashes of intellectual intuition. Their performance on the psychometric tests improved, but, more important, they solved their thorny equations and problems. According to Fadiman, “A number of patents, products, and publications emerged out of that study.

Perhaps nowhere is modern chemistry more important than in the development of new drugs to fight disease, ameliorate pain, and enhance the experience of life. Genomics, the identification of genes and their complex interplay in governing the production of proteins, is central to current and future advances in pharmacogenomics, the study of how genetic information modifies an individual's response to drugs and offering the prospect of personalized medicine, where a cocktail of drugs is tailored to an individual's genetic composition. Even more elaborate than genomics is proteomics, the study of an organism's entire complement of proteins, the entities that lie at the workface of life and where most drugs act. Here computational chemistry is in essential alliance with medical chemistry, for if a protein implicated in a disease can be identified, and it is desired to terminate its action, then computer modelling of possible molecules that can invade and block its active site is the first step in rational drug discovery. This too is another route to the efficiencies and effectiveness of personalized medicine.

It was little things at first. Abby missed a phone call because she had an away game. Then one time Gretchen didn’t write back and never made up for the missing letter. They got busy with SATs and college applications, and even though they both applied to Georgetown, Gretchen didn’t get in, and Abby wound up going to George Washington anyways. At college they went to their computer labs and sent each other emails, sitting in front of black and green CRT screens and pecking them out one letter at a time. And they still wrote, but calling became a once-a-week thing. Gretchen was Abby’s maid of honor at her tiny courthouse wedding, but sometimes a month would go by and they wouldn’t speak. Then two months. Then three. They went through periods when they both made an effort to write more, but after a while that usually faded. It wasn’t anything serious, it was just life. The dance recitals, making the rent, first real jobs, pickups, dropoffs, the fights that seemed so important, the laundry, the promotions, the vacations taken, shoes bought, movies watched, lunches packed. It was a haze of the everyday that blurred the big things and made them feel distant and small.

The decision to prioritize a victory in space over problems on Earth was the most widespread criticism against the space program. But even those voices in the black community who expressed admiration for the astronauts, who supported the program and its mission, took NASA to the woodshed for its lack of black faces. No black television commentators, no black administrators, no black faces in Mission Control, and most of all, no black astronauts. Blacks were still smarting over the perceived mistreatment of Ed Dwight, an astronaut trainee who was given his walking papers before he could even report for duty. Though groups like ACD and Reentry Physics still employed several of the former West Computers, Katherine and others found themselves the only black employees in their branch. They were maybe less visible at work now that segregation had been ended. But they were perhaps more invisible professionally in the black community. The white NASA folks tended to live in enclaves, carpooling together and barbecuing together and sending their kids to school together. They talked about work and imported the hierarchies and nuances of their work lives into their neighborhoods.

The idea that John Lasseter pitched was called “Toy Story.” It sprang from a belief, which he and Jobs shared, that products have an essence to them, a purpose for which they were made. If the object were to have feelings, these would be based on its desire to fulfill its essence. The purpose of a glass, for example, is to hold water; if it had feelings, it would be happy when full and sad when empty. The essence of a computer screen is to interface with a human. The essence of a unicycle is to be ridden in a circus. As for toys, their purpose is to be played with by kids, and thus their existential fear is of being discarded or upstaged by newer toys. So a buddy movie pairing an old favorite toy with a shiny new one would have an essential drama to it, especially when the action revolved around the toys’ being separated from their kid. The original treatment began, “Everyone has had the traumatic childhood experience of losing a toy. Our story takes the toy’s point of view as he loses and tries to regain the single thing most important to him: to be played with by children. This is the reason for the existence of all toys. It is the emotional foundation of their existence.

Mosseri’s answer to the important question was perfect by Facebook standards: “Technology isn’t good or bad—it just is,” he wrote. “Social media is a great amplifier. We need to do all we can responsibly to magnify the good and address the bad.” But nothing “just is,” especially Instagram. Instagram isn’t designed to be a neutral technology, like electricity or computer code. It’s an intentionally crafted experience, with an impact on its users that is not inevitable, but is the product of a series of choices by its makers about how to shape behavior. Instagram trained its users on likes and follows, but that wasn’t enough to create the emotional attachment users have to the product today. They also thought about their users as individuals, through the careful curation of an editorial strategy, and partnerships with top accounts. Instagram’s team is expert at amplifying “the good.” When it comes to addressing “the bad,” though, employees are concerned the app is thinking in terms of numbers, not people. Facebook’s top argument against a breakup is that its “family of apps” evolution will be better for users’ safety. “If you want to prevent interference in elections, if you want to reduce[…]

According to chaos theory, although it is impossible to predict the individual behavior of each element in a complex dynamic system (for instance, the individual neurons or neuronal groups in the primary visual cortex), patterns can be discerned at a higher level by using mathematical models and computer analyses. There are “universal behaviors” which represent the ways such dynamic, nonlinear systems self-organize. These tend to take the form of complex reiterative patterns in space and time—indeed the very sorts of networks, whorls, spirals, and webs that one sees in the geometrical hallucinations of migraine. Such chaotic, self-organizing behaviors have now been recognized in a vast range of natural systems, from the eccentric motions of Pluto to the striking patterns that appear in the course of certain chemical reactions to the multiplication of slime molds or the vagaries of weather. With this, a hitherto insignificant or unregarded phenomenon like the geometrical patterns of migraine aura suddenly assumes a new importance. It shows us, in the form of a hallucinatory display, not only an elemental activity of the cerebral cortex but an entire self-organizing system, a universal behavior, at work.*3

So far we have looked at two of the three practical threats to liberalism: firstly, that humans will lose their value completely; secondly, that humans will still be valuable collectively, but will lose their individual authority, and instead be managed by external algorithms. The system will still need you to compose symphonies, teach history or write computer code, but it will know you better than you know yourself, and will therefore make most of the important decisions for you – and you will be perfectly happy with that. It won’t necessarily be a bad world; it will, however, be a post-liberal world. The third threat to liberalism is that some people will remain both indispensable and undecipherable, but they will constitute a small and privileged elite of upgraded humans. These superhumans will enjoy unheard-of abilities and unprecedented creativity, which will allow them to go on making many of the most important decisions in the world. They will perform crucial services for the system, while the system could neither understand nor manage them. However, most humans will not be upgraded, and will consequently become an inferior caste dominated by both computer algorithms and the new superhumans. Splitting

So far we have looked at two of the three practical threats to liberalism: firstly, that humans will lose their value completely; secondly, that humans will still be valuable collectively, but they will lose their individual authority, and will instead be managed by external algorithms. The system will still need you to compose symphonies, teach history or write computer code, but the system will know you better than you know yourself, and will therefore make most of the important decisions for you – and you will be perfectly happy with that. It won’t necessarily be a bad world; it will, however, be a post-liberal world. The third threat to liberalism is that some people will remain both indispensable and undecipherable, but they will constitute a small and privileged elite of upgraded humans. These superhumans will enjoy unheard-of abilities and unprecedented creativity, which will allow them to go on making many of the most important decisions in the world. They will perform crucial services for the system, while the system could not understand and manage them. However, most humans will not be upgraded, and they will consequently become an inferior caste, dominated by both computer algorithms and the new superhumans.

As I became older, I was given many masks to wear. I could be a laborer laying railroad tracks across the continent, with long hair in a queue to be pulled by pranksters; a gardener trimming the shrubs while secretly planting a bomb; a saboteur before the day of infamy at Pearl Harbor, signaling the Imperial Fleet; a kamikaze pilot donning his headband somberly, screaming 'Banzai' on my way to my death; a peasant with a broad-brimmed straw hat in a rice paddy on the other side of the world, stooped over to toil in the water; an obedient servant in the parlor, a houseboy too dignified for my own good; a washerman in the basement laundry, removing stains using an ancient secret; a tyrant intent on imposing my despotism on the democratic world, opposed by the free and the brave; a party cadre alongside many others, all of us clad in coordinated Mao jackets; a sniper camouflaged in the trees of the jungle, training my gunsights on G.I. Joe; a child running with a body burning from napalm, captured in an unforgettable photo; an enemy shot in the head or slaughtered by the villageful; one of the grooms in a mass wedding of couples, having met my mate the day before through our cult leader; an orphan in the last airlift out of a collapsed capital, ready to be adopted into the good life; a black belt martial artist breaking cinderblocks with his head, in an advertisement for Ginsu brand knives with the slogan 'but wait--there's more' as the commercial segued to show another free gift; a chef serving up dog stew, a trick on the unsuspecting diner; a bad driver swerving into the next lane, exactly as could be expected; a horny exchange student here for a year, eager to date the blonde cheerleader; a tourist visiting, clicking away with his camera, posing my family in front of the monuments and statues; a ping pong champion, wearing white tube socks pulled up too high and batting the ball with a wicked spin; a violin prodigy impressing the audience at Carnegie Hall, before taking a polite bow; a teen computer scientist, ready to make millions on an initial public offering before the company stock crashes; a gangster in sunglasses and a tight suit, embroiled in a turf war with the Sicilian mob; an urban greengrocer selling lunch by the pound, rudely returning change over the counter to the black patrons; a businessman with a briefcase of cash bribing a congressman, a corrupting influence on the electoral process; a salaryman on my way to work, crammed into the commuter train and loyal to the company; a shady doctor, trained in a foreign tradition with anatomical diagrams of the human body mapping the flow of life energy through a multitude of colored points; a calculus graduate student with thick glasses and a bad haircut, serving as a teaching assistant with an incomprehensible accent, scribbling on the chalkboard; an automobile enthusiast who customizes an imported car with a supercharged engine and Japanese decals in the rear window, cruising the boulevard looking for a drag race; a illegal alien crowded into the cargo hold of a smuggler's ship, defying death only to crowd into a New York City tenement and work as a slave in a sweatshop. My mother and my girl cousins were Madame Butterfly from the mail order bride catalog, dying in their service to the masculinity of the West, and the dragon lady in a kimono, taking vengeance for her sisters. They became the television newscaster, look-alikes with their flawlessly permed hair. Through these indelible images, I grew up. But when I looked in the mirror, I could not believe my own reflection because it was not like what I saw around me. Over the years, the world opened up. It has become a dizzying kaleidoscope of cultural fragments, arranged and rearranged without plan or order.

FINDING YOUR MOTIVATIONAL PATTERN Step I. Divide your life into thirds. (If you are 42, you’ll come up with three age groups: 1–14, 15–28, 29–42.) Then let your thoughts begin to drift. Recall some of your past accomplishments: the things you did well, enjoyed doing, and felt good about regardless of what anyone else thought. These experiences must be something you did, not something you watched others doing. It can be anything from learning to tie your shoes to reupholstering a chair, from finding a job to writing a poem, from planning a party for four or a banquet for four hundred. The important thing here is that you felt good about the activity, enjoyed doing it, and did it well.   Step II. Create a chart. Try to come up with at least three achievements for each of your three age groups. Step III. Examine the experiences listed and look for a pattern. What skills, interests, rewards, and kinds of relationships are repeated in all the stories? This is called your motivational pattern. It is what “turns you on,” gets you going, and keeps you stimulated. If you put these ingredients together, you can see what is missing in your life or what you need to have in your next job. For example, if helping people motivates you and your day is spent behind a computer, you can see why you’re miserable.

home in Pahrump, Nevada, where he played the penny slot machines and lived off his social security check. He later claimed he had no regrets. “I made the best decision for me at the time. Both of them were real whirlwinds, and I knew my stomach and it wasn’t ready for such a ride.” •  •  • Jobs and Wozniak took the stage together for a presentation to the Homebrew Computer Club shortly after they signed Apple into existence. Wozniak held up one of their newly produced circuit boards and described the microprocessor, the eight kilobytes of memory, and the version of BASIC he had written. He also emphasized what he called the main thing: “a human-typable keyboard instead of a stupid, cryptic front panel with a bunch of lights and switches.” Then it was Jobs’s turn. He pointed out that the Apple, unlike the Altair, had all the essential components built in. Then he challenged them with a question: How much would people be willing to pay for such a wonderful machine? He was trying to get them to see the amazing value of the Apple. It was a rhetorical flourish he would use at product presentations over the ensuing decades. The audience was not very impressed. The Apple had a cut-rate microprocessor, not the Intel 8080. But one important person stayed behind to hear more. His name was Paul Terrell, and in 1975

We should do this on computer," she said, chalking it carefully for the eighty-ninth time. "With a drawing pad." "Nonsense. You're lucky I don't make you inscribe it with a stylus on a wax tablet, like the old days," Myrnin snorted. "Children. Spoiled children, always playing with the shinest toy." "Computers are more efficient!" "I can perform calculations on that abacus faster than you can solve them on your computer," Myrnin sneered. Okay, now he was pissing her off. "Prove it!" "What?" "Prove it." She backed off on her tone, but Myrnin wasn't looking angry; he was looking strangely interested. He stared at her for a second in silence, and then he got the biggest, oddest smile she'd ever seen on the face of a vampire. "All right," he said. "A contest. Computer versus abacus." She wasn't at all sure now that was a good idea, even if it had been her idea, essentially. "Um -- what do I win?" More importantly, what do I lose? Making bargains was a way of life in Morganville, and it was a lot like making deals with man-eating fairies. Better be careful what you ask for. "Your freedom," he said solemnly. His eyes were wide and guileless, his too-young face shining with honesty. "I will tell Amelie you were not suited to the work. She'll let you go about your life, such as it is." Good prize. Too good. Claire swallowed hard. "And if I lose?" "Then I eat you," Myrnin said.

Military analysis is not an exact science. To return to the wisdom of Sun Tzu, and paraphrase the great Chinese political philosopher, it is at least as close to art. But many logical methods offer insight into military problems-even if solutions to those problems ultimately require the use of judgement and of broader political and strategic considerations as well. Military affairs may not be as amenable to quantification and formal methodological treatment as economics, for example. However, even if our main goal in analysis is generally to illuminate choices, bound problems, and rule out bad options - rather than arrive unambiguously at clear policy choices-the discipline of military analysis has a great deal to offer. Moreover, simple back-of-the envelope methodologies often provide substantial insight without requiring the churning of giant computer models or access to the classified data of official Pentagon studies, allowing generalities and outsiders to play important roles in defense analytical debates. We have seen all too often (in the broad course of history as well as in modern times) what happens when we make key defense policy decisions based solely on instinct, ideology, and impression. To avoid cavalier, careless, and agenda-driven decision-making, we therefore need to study the science of war as well-even as we also remember the cautions of Clausewitz and avoid hubris in our predictions about how any war or other major military endeavor will ultimately unfold.

If this is true—if solitude is an important key to creativity—then we might all want to develop a taste for it. We’d want to teach our kids to work independently. We’d want to give employees plenty of privacy and autonomy. Yet increasingly we do just the opposite. We like to believe that we live in a grand age of creative individualism. We look back at the midcentury era in which the Berkeley researchers conducted their creativity studies, and feel superior. Unlike the starched-shirted conformists of the 1950s, we hang posters of Einstein on our walls, his tongue stuck out iconoclastically. We consume indie music and films, and generate our own online content. We “think different” (even if we got the idea from Apple Computer’s famous ad campaign). But the way we organize many of our most important institutions—our schools and our workplaces—tells a very different story. It’s the story of a contemporary phenomenon that I call the New Groupthink—a phenomenon that has the potential to stifle productivity at work and to deprive schoolchildren of the skills they’ll need to achieve excellence in an increasingly competitive world. The New Groupthink elevates teamwork above all else. It insists that creativity and intellectual achievement come from a gregarious place. It has many powerful advocates. “Innovation—the heart of the knowledge economy—is fundamentally social,” writes the prominent journalist Malcolm Gladwell. “None of us is as smart as all of us,” declares the organizational consultant Warren Bennis,

In the absence of expert [senior military] advice, we have seen each successive administration fail in the business of strategy - yielding a United States twice as rich as the Soviet Union but much less strong. Only the manner of the failure has changed. In the 1960s, under Robert S. McNamara, we witnessed the wholesale substitution of civilian mathematical analysis for military expertise. The new breed of the "systems analysts" introduced new standards of intellectual discipline and greatly improved bookkeeping methods, but also a trained incapacity to understand the most important aspects of military power, which happens to be nonmeasurable. Because morale is nonmeasurable it was ignored, in large and small ways, with disastrous effects. We have seen how the pursuit of business-type efficiency in the placement of each soldier destroys the cohesion that makes fighting units effective; we may recall how the Pueblo was left virtually disarmed when it encountered the North Koreans (strong armament was judged as not "cost effective" for ships of that kind). Because tactics, the operational art of war, and strategy itself are not reducible to precise numbers, money was allocated to forces and single weapons according to "firepower" scores, computer simulations, and mathematical studies - all of which maximize efficiency - but often at the expense of combat effectiveness. An even greater defect of the McNamara approach to military decisions was its businesslike "linear" logic, which is right for commerce or engineering but almost always fails in the realm of strategy. Because its essence is the clash of antagonistic and outmaneuvering wills, strategy usually proceeds by paradox rather than conventional "linear" logic. That much is clear even from the most shopworn of Latin tags: si vis pacem, para bellum (if you want peace, prepare for war), whose business equivalent would be orders of "if you want sales, add to your purchasing staff," or some other, equally absurd advice. Where paradox rules, straightforward linear logic is self-defeating, sometimes quite literally. Let a general choose the best path for his advance, the shortest and best-roaded, and it then becomes the worst path of all paths, because the enemy will await him there in greatest strength... Linear logic is all very well in commerce and engineering, where there is lively opposition, to be sure, but no open-ended scope for maneuver; a competitor beaten in the marketplace will not bomb our factory instead, and the river duly bridged will not deliberately carve out a new course. But such reactions are merely normal in strategy. Military men are not trained in paradoxical thinking, but they do no have to be. Unlike the business-school expert, who searches for optimal solutions in the abstract and then presents them will all the authority of charts and computer printouts, even the most ordinary military mind can recall the existence of a maneuvering antagonists now and then, and will therefore seek robust solutions rather than "best" solutions - those, in other words, which are not optimal but can remain adequate even when the enemy reacts to outmaneuver the first approach.

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.

Teddy actually cries, he misses her so bad, and eventually he convinces her that she”—here Sadie makes quote marks with her fingers—“‘owes’ him the chance to explain.” “And she agrees to meet?” I ask, mostly because I worry I’ve been silent too long. “Yes.” “This,” I say. “This is the part I never get.” Sadie leans forward and tilts her head to the side. “That’s because while you’re trying, Win, you’re still too male to get it. Women have been conditioned to please. We are responsible not just for ourselves but everyone in our orbit. We think it is our job to comfort the man. We think we can make things better by sacrificing a bit of ourselves. But you’re also right to ask. It’s the first thing I tell my clients: If you’re ready to end it, end it. Make a clean break and don’t look back. You don’t owe him anything.” “Did Sharyn go back to him?” I ask. “For a little while. Don’t shake your head like that, Win. Just listen, okay? That’s what these psychos do. They manipulate and gaslight. They make you feel guilty, like it’s your fault. They sucker you back in.” I still don’t get it, but that’s not important, is it? “Anyway, it didn’t last. Sharyn saw the light fast. She ended it again. She stopped replying to his calls and texts. And that’s when Teddy upped his assholery to the fully psychotic. Unbeknownst to her, he bugged her apartment. He put keyloggers on her computers. Teddy has a tracker on her phone. Then he starts texting her anonymous threats. He stole all her contacts, so he floods mailboxes with malicious lies about her—to her friends, her family. He writes emails and pretends he’s Sharyn and he trashes her professors and friends. On one occasion, he contacts Sharyn’s best friend’s fiancé—as Sharyn—and

Each purpose, each mission, is meant to be fully lived to the point where it becomes empty, boring, and useless. Then it should be discarded. This is a sign of growth, but you may mistake it for a sign of failure. For instance, you may take on a business project, work at it for several years, and then suddenly find yourself totally disinterested. You know that if you stayed with it for another few years you would reap much greater financial reward than if you left the project now. But the project no longer calls you. You no longer feel interested in the project. You have developed skills over the last few years working on the project, but it hasn’t yet come to fruition. You may wonder, now that you have the skills, should you stick with it and bring the project to fruition, even though the work feels empty to you? Well, maybe you should stick with it. Maybe you are bailing out too soon, afraid of success or failure, or just too lazy to persevere. This is one possibility. Ask your close men friends if they feel you are simply losing steam, wimping out, or afraid to bring your project to completion. If they feel you are bailing out too soon, stick with it. However, there is also the possibility that you have completed your karma in this area. It is possible that this was one layer of purpose, which you have now fulfilled, on the way to another layer of purpose, closer to your deepest purpose. Among the signs of fulfilling or completing a layer of purpose are these: 1. You suddenly have no interest whatsoever in a project or mission that, just previously, motivated you highly. 2. You feel surprisingly free of any regrets whatsoever, for starting the project or for ending it. 3. Even though you may not have the slightest idea of what you are going to do next, you feel clear, unconfused, and, especially, unburdened. 4. You feel an increase in energy at the prospect of ceasing your involvement with the project. 5. The project seems almost silly, like collecting shoelaces or wallpapering your house with gas station receipts. Sure, you could do it, but why would you want to? If you experience these signs, it is probably time to stop working on this project. You must end your involvement impeccably, however, making sure there are no loose ends and that you do not burden anybody’s life by stopping your involvement. This might take some time, but it is important that this layer of your purpose ends cleanly and does not create any new karma, or obligation, that will burden you or others in the future. The next layer of your unfolding purpose may make itself clear immediately. More often, however, it does not. After completing one layer of purpose, you might not know what to do with your life. You know that the old project is over for you, but you are not sure of what is next. At this point, you must wait for a vision. There is no way to rush this process. You may need to get an intermediary job to hold you over until the next layer of purpose makes itself clear. Or, perhaps you have enough money to simply wait. But in any case, it is important to open yourself to a vision of what is next. You stay open to a vision of your deeper purpose by not filling your time with distractions. Don’t watch TV or play computer games. Don’t go out drinking beer with your friends every night or start dating a bunch of women. Simply wait. You may wish to go on a retreat in a remote area and be by yourself. Whatever it is you decide to do, consciously keep yourself open and available to receiving a vision of what is next. It will come.

The sponge or active charcoal inside a filter is three-dimensional. Their adsorbent surfaces, however, are two-dimensional. Thus, you can see how a tiny high-dimensional structure can contain a huge low-dimensional structure. But at the macroscopic level, this is about the limit of the ability for high-dimensional space to contain low-dimensional space. Because God was stingy, during the big bang He only provided the macroscopic world with three spatial dimensions, plus the dimension of time. But this doesn’t mean that higher dimensions don’t exist. Up to seven additional dimensions are locked within the micro scale, or, more precisely, within the quantum realm. And added to the four dimensions at the macro scale, fundamental particles exist within an eleven-dimensional space-time.” “So what?” “I just want to point out this fact: In the universe, an important mark of a civilization’s technological advancement is its ability to control and make use of micro dimensions. Making use of fundamental particles without taking advantage of the micro dimensions is something that our naked, hairy ancestors already began back when they lit bonfires within caves. Controlling chemical reactions is just manipulating micro particles without regard to the micro dimensions. Of course, this control also progressed from crude to advanced: from bonfires to steam engines, and then generators. Now, the ability for humans to manipulate micro particles at the macro level has reached a peak: We have computers and nanomaterials. But all of that is accomplished without unlocking the many micro dimensions. From the perspective of a more advanced civilization in the universe, bonfires and computers and nanomaterials are not fundamentally different. They all belong to the same level. That’s also why they still think of humans as mere bugs. Unfortunately, I think they’re right.

Similarly, the brains of mice that have learned many tasks are slightly different from the brains of other mice that have not learned these tasks. It is not so much that the number of neurons has changed, but rather that the nature of the neural connections has been altered by the learning process. In other words, learning actually changes the structure of the brain. This raises the old adage “practice makes perfect.” Canadian psychologist Dr. Donald Hebb discovered an important fact about the wiring of the brain: the more we exercise certain skills, the more certain pathways in our brains become reinforced, so the task becomes easier. Unlike a digital computer, which is just as dumb today as it was yesterday, the brain is a learning machine with the ability to rewire its neural pathways every time it learns something. This is a fundamental difference between a digital computer and the brain. This lesson applies not only to London taxicab drivers, but also to accomplished concert musicians as well. According to psychologist Dr. K. Anders Ericsson and colleagues, who studied master violinists at Berlin’s elite Academy of Music, top concert violinists could easily rack up ten thousand hours of grueling practice by the time they were twenty years old, practicing more than thirty hours per week. By contrast, he found that students who were merely exceptional studied only eight thousand hours or fewer, and future music teachers practiced only a total of four thousand hours. Neurologist Daniel Levitin says, “The emerging picture from such studies is that ten thousand hours of practice is required to achieve the level of mastery associated with being a world-class expert—in anything.… In study after study, of composers, basketball players, fiction writers, ice skaters, concert pianists, chess players, master criminals, and what have you, this number comes up again and again.” Malcolm Gladwell, writing in the book Outliers, calls this the “10,000-hour rule.

In fact, the same basic ingredients can easily be found in numerous start-up clusters in the United States and around the world: Austin, Boston, New York, Seattle, Shanghai, Bangalore, Istanbul, Stockholm, Tel Aviv, and Dubai. To discover the secret to Silicon Valley’s success, you need to look beyond the standard origin story. When people think of Silicon Valley, the first things that spring to mind—after the HBO television show, of course—are the names of famous start-ups and their equally glamorized founders: Apple, Google, Facebook; Jobs/ Wozniak, Page/ Brin, Zuckerberg. The success narrative of these hallowed names has become so universally familiar that people from countries around the world can tell it just as well as Sand Hill Road venture capitalists. It goes something like this: A brilliant entrepreneur discovers an incredible opportunity. After dropping out of college, he or she gathers a small team who are happy to work for equity, sets up shop in a humble garage, plays foosball, raises money from sage venture capitalists, and proceeds to change the world—after which, of course, the founders and early employees live happily ever after, using the wealth they’ve amassed to fund both a new generation of entrepreneurs and a set of eponymous buildings for Stanford University’s Computer Science Department. It’s an exciting and inspiring story. We get the appeal. There’s only one problem. It’s incomplete and deceptive in several important ways. First, while “Silicon Valley” and “start-ups” are used almost synonymously these days, only a tiny fraction of the world’s start-ups actually originate in Silicon Valley, and this fraction has been getting smaller as start-up knowledge spreads around the globe. Thanks to the Internet, entrepreneurs everywhere have access to the same information. Moreover, as other markets have matured, smart founders from around the globe are electing to build companies in start-up hubs in their home countries rather than immigrating to Silicon Valley.

We may not recognize how situations within our own lives are similar to what happens within an airplane cockpit. But think, for a moment, about the pressures you face each day. If you are in a meeting and the CEO suddenly asks you for an opinion, your mind is likely to snap from passive listening to active involvement—and if you’re not careful, a cognitive tunnel might prompt you to say something you regret. If you are juggling multiple conversations and tasks at once and an important email arrives, reactive thinking can cause you to type a reply before you’ve really thought out what you want to say. So what’s the solution? If you want to do a better job of paying attention to what really matters, of not getting overwhelmed and distracted by the constant flow of emails and conversations and interruptions that are part of every day, of knowing where to focus and what to ignore, get into the habit of telling yourself stories. Narrate your life as it’s occurring, and then when your boss suddenly asks a question or an urgent note arrives and you have only minutes to reply, the spotlight inside your head will be ready to shine the right way. To become genuinely productive, we must take control of our attention; we must build mental models that put us firmly in charge. When you’re driving to work, force yourself to envision your day. While you’re sitting in a meeting or at lunch, describe to yourself what you’re seeing and what it means. Find other people to hear your theories and challenge them. Get in a pattern of forcing yourself to anticipate what’s next. If you are a parent, anticipate what your children will say at the dinner table. Then you’ll notice what goes unmentioned or if there’s a stray comment that you should see as a warning sign. “You can’t delegate thinking,” de Crespigny told me. “Computers fail, checklists fail, everything can fail. But people can’t. We have to make decisions, and that includes deciding what deserves our attention. The key is forcing yourself to think. As long as you’re thinking, you’re halfway home.

I am assured that this is a true story. A man calls up his computer helpline complaining that the cupholder on his personal computer has snapped off, and he wants to know how to get it fixed. “Cupholder?” says the computer helpline person, puzzled. “I’m sorry, sir, but I’m confused. Did you buy this cupholder at a computer show or receive it as a special promotion?” “No, it came as part of the standard equipment on my computer.” “But our computers don’t come with cupholders.” “Well, pardon me, friend, but they do,” says the man a little hotly. “I’m looking at mine right now. You push a button on the base of the unit and it slides right out.” The man, it transpired, had been using the CD drawer on his computer to hold his coffee cup. I bring this up here by way of introducing our topic this week: cupholders. Cupholders are taking over the world. It would be almost impossible to exaggerate the importance of cupholders in automotive circles these days. The New York Times recently ran a long article in which it tested a dozen family cars. It rated each of them for ten important features, among them engine size, trunk space, handling, quality of suspension, and, yes, number of cupholders. A car dealer acquaintance of ours tells us that they are one of the first things people remark on, ask about, or play with when they come to look at a car. People buy cars on the basis of cupholders. Nearly all car advertisements note the number of cupholders prominently in the text. Some cars, like the newest model of the Dodge Caravan, come with as many as seventeen cupholders. The largest Caravan holds seven passengers. Now you don’t have to be a nuclear physicist, or even wide awake, to work out that that is 2.43 cupholders per passenger. Why, you may reasonably wonder, would each passenger in a vehicle need 2.43 cupholders? Good question. Americans, it is true, consume positively staggering volumes of fluids. One of our local gas stations, I am reliably informed, sells a flavored confection called a Slurpee in containers up to 60 ounces in size. But even if every member of the family had a Slurpee and a personal bottle of

Why, exactly, is Marduk handing Hammurabi a one and a zero in this picture?" Hiro asks. "They were emblems of royal power," the Librarian says. "Their origin is obscure." "Enki must have been responsible for that one," Hiro says. "Enki's most important role is as the creator and guardian of the me and the gis-hur, the 'key words' and 'patterns' that rule the universe." "Tell me more about the me." "To quote Kramer and Maier again, '[They believed in] the existence from time primordial of a fundamental, unalterable, comprehensive assortment of powers and duties, norms and standards, rules and regulations, known as me, relating to the cosmos and its components, to gods and humans, to cities and countries, and to the varied aspects of civilized life.'" "Kind of like the Torah." "Yes, but they have a kind of mystical or magical force. And they often deal with banal subjects -- not just religion." "Examples?" "In one myth, the goddess Inanna goes to Eridu and tricks Enki into giving her ninety-four me and brings them back to her home town of Uruk, where they are greeted with much commotion and rejoicing." "Inanna is the person that Juanita's obsessed with." "Yes, sir. She is hailed as a savior because 'she brought the perfect execution of the me.'" "Execution? Like executing a computer program?" "Yes. Apparently, they are like algorithms for carrying out certain activities essential to the society. Some of them have to do with the workings of priesthood and kingship. Some explain how to carry out religious ceremonies. Some relate to the arts of war and diplomacy. Many of them are about the arts and crafts: music, carpentry, smithing, tanning, building, farming, even such simple tasks as lighting fires." "The operating system of society." "I'm sorry?" "When you first turn on a computer, it is an inert collection of circuits that can't really do anything. To start up the machine, you have to infuse those circuits with a collection of rules that tell it how to function. How to be a computer. It sounds as though these me served as the operating system of the society, organizing an inert collection of people into a functioning system." "As you wish. In any case, Enki was the guardian of the me." "So he was a good guy, really." "He was the most beloved of the gods." "He sounds like kind of a hacker.

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I WANT TO end this list by talking a little more about the founding of Pixar University and Elyse Klaidman’s mind-expanding drawing classes in particular. Those first classes were such a success—of the 120 people who worked at Pixar then, 100 enrolled—that we gradually began expanding P.U.’s curriculum. Sculpting, painting, acting, meditation, belly dancing, live-action filmmaking, computer programming, design and color theory, ballet—over the years, we have offered free classes in all of them. This meant spending not only the time to find the best outside teachers but also the real cost of freeing people up during their workday to take the classes. So what exactly was Pixar getting out of all of this? It wasn’t that the class material directly enhanced our employees’ job performance. Instead, there was something about an apprentice lighting technician sitting alongside an experienced animator, who in turn was sitting next to someone who worked in legal or accounting or security—that proved immensely valuable. In the classroom setting, people interacted in a way they didn’t in the workplace. They felt free to be goofy, relaxed, open, vulnerable. Hierarchy did not apply, and as a result, communication thrived. Simply by providing an excuse for us all to toil side by side, humbled by the challenge of sketching a self-portrait or writing computer code or taming a lump of clay, P.U. changed the culture for the better. It taught everyone at Pixar, no matter their title, to respect the work that their colleagues did. And it made us all beginners again. Creativity involves missteps and imperfections. I wanted our people to get comfortable with that idea—that both the organization and its members should be willing, at times, to operate on the edge. I can understand that the leaders of many companies might wonder whether or not such classes would truly be useful, worth the expense. And I’ll admit that these social interactions I describe were an unexpected benefit. But the purpose of P.U. was never to turn programmers into artists or artists into belly dancers. Instead, it was to send a signal about how important it is for every one of us to keep learning new things. That, too, is a key part of remaining flexible: keeping our brains nimble by pushing ourselves to try things we haven’t tried before. That’s what P.U. lets our people do, and I believe it makes us stronger.

The morning was already setting up to be hectic, and Jon thanked his lucky stars that Jessie was so good at his job and a constant spark-plug of activity. Oh god, you did not just think Jessie was a spark-plug? You really are getting old. Next thing you know you’ll being saying whipper-snappers and break a hip getting out of bed. He shook his head. I guess I had a good run. Jessie quickly re-entered the office. “Alright. Elisabeth has her caffeine fix and said she’ll be down to say goodbye in a few. So let’s get this bad boy going for the week. Travel plans are done for next month and meetings for the week are in you planner so I’m assuming they’ll be no more complaining about flying coach class this time?” Jessie gave a sly wink and kept organizing his desk. “Yes. And for that I thank you for that my color-coding, hyper computer organized planner. We have to make sure the next presentation for Chicago is ready in three weeks; the storyboards for the new campaign ideas have to be finished by Tuesday the 16th so we can get them shipped before I head out there.” “And let’s not forget our important morning ritual.” Jon looked at Jessie with a question about to form before the realization hit him. His expression changed from confused to stern. “No cat videos Jessie. I swear. Enough of the cat videos.” “C’mon. You know you love them and they brighten your dour moods. Look at this one.” Jessie turned his screen and Jon begrudgingly looked at the cute little puppy and kitten with captions over them. “How can you not love this?” Jessie smiled. “The cute little kitty tells the playful puppy not to do it and yet the puppy bonks the little kitty on the head with his little puppy paw. “Boop Boop.” And then the cat swipes at the puppy and it falls off the bed. You know this is internet gold.” Jon smiled. “Can we get back to work?” Jessie nodded and then walked up to Jon - without hesitating, he bonked him lightly on the head. “Boop.” He paused and added, “I think this puppy is onto something.” Jessie grinned ear to ear still. “I pledge, from now on if something makes me as happy as this bonking picture I’m just going to say Boop boop.” Jon stood stone-faced but a second later, could not stop his smile. “I am not amused.” Jon shook the smile away. “Now, if you’re done boop booping me, there is something else I want to talk with you about.” Jessie looked at Jon with a quizzical smile. “Not to blow my own horn but I have a new and brilliant thought my young apprentice.” Jessie opened his mouth to comment on the blowing horn, but Jon held up his hand and cut him off. “Stop it.” Jessie closed his mouth and swallowed the sexual innuendo-laced comment he had forming on the tip of his tongue.

If the curtain is indeed about to drop on Sapiens history, we members of one of its final generations should devote some time to answering one last question: what do we want to become? This question, sometimes known as the Human Enhancement question, dwarfs the debates that currently preoccupy politicians, philosophers, scholars and ordinary people. After all, today's debate between today's religions, ideologies, nations and classes will in all likelihood disappear along with Homo sapiens. If our successors indeed function on a different level of consciousness (or perhaps possess something beyond consciousness that we cannot even conceive), it seems doubtful that Christianity or Islam will be of interest to them, that their social organizations could be Communist or capitalist or that their genders could be male or female. And yet the great debates of history are more important because at least the first generation of these gods would be shaped by the cultural ideas of their human designers. Would they be created in the image of capitalism, of Islam, or of feminism? The answer to this question might send them careening in entirely different directions. Most people prefer not to think about it. Even the field of bioethics prefers to address another question: 'What is it forbidden to do?' Is it acceptable to carry out genetic experiments on living human beings? On aborted fetuses? On stem cells? Is it ethical to clone sheep? And chimpanzees? And what about humans? All of these are important questions, but it is naive to imagine that we might simply hit the brakes and stop the scientific projects that are upgrading Homo sapiens into a different kind of being. For these projects are inextricably meshed together with the Gilgamesh Project. Ask scientists why they study the genome, or try to connect a brain to a computer, or try to create a mind inside a computer. Nine out of ten times you'll get the same standard answer: we are doing it to cure diseases and save human lives. Even though the implications of creating a mind inside a computer are far more dramatic than curing psychiatric illnesses, this is the standard justification given, because nobody can argue with it. This is why the Gilgamesh Project is the flagship of science. It serves to justify everything science does. Dr Frankenstein piggybacks on the shoulders of Gilgamesh. Since it is impossible to stop Gilgamesh, it is also impossible to stop Dr Frankenstein. The only thing we can try to do is to influence the direction scientists are taking. But since we might soon be able to engineer our desires too, the real question facing us is not 'What do we want to become?, but 'What do we want to want?' Those who are not spooked by this question probably haven't given it enough thought.

Although some scientists questioned the validity of these studies, others went along willingly. People from a wide range of disciplines were recruited, including psychics, physicists, and computer scientists, to investigate a variety of unorthodox projects: experimenting with mind-altering drugs such as LSD, asking psychics to locate the position of Soviet submarines patrolling the deep oceans, etc. In one sad incident, a U.S. Army scientist was secretly given LSD. According to some reports, he became so violently disoriented that he committed suicide by jumping out a window. Most of these experiments were justified on the grounds that the Soviets were already ahead of us in terms of mind control. The U.S. Senate was briefed in another secret report that the Soviets were experimenting with beaming microwave radiation directly into the brains of test subjects. Rather than denouncing the act, the United States saw “great potential for development into a system for disorienting or disrupting the behavior pattern of military or diplomatic personnel.” The U.S. Army even claimed that it might be able to beam entire words and speeches into the minds of the enemy: “One decoy and deception concept … is to remotely create noise in the heads of personnel by exposing them to low power, pulsed microwaves.… By proper choice of pulse characteristics, intelligible speech may be created.… Thus, it may be possible to ‘talk’ to selected adversaries in a fashion that would be most disturbing to them,” the report said. Unfortunately, none of these experiments was peer-reviewed, so millions of taxpayer dollars were spent on projects like this one, which most likely violated the laws of physics, since the human brain cannot receive microwave radiation and, more important, does not have the ability to decode microwave messages. Dr. Steve Rose, a biologist at the Open University, has called this far-fetched scheme a “neuro-scientific impossibility.” But for all the millions of dollars spent on these “black projects,” apparently not a single piece of reliable science emerged. The use of mind-altering drugs did, in fact, create disorientation and even panic among the subjects who were tested, but the Pentagon failed to accomplish the key goal: control of the conscious mind of another person. Also, according to psychologist Robert Jay Lifton, brainwashing by the communists had little long-term effect. Most of the American troops who denounced the United States during the Korean War reverted back to their normal personalities soon after being released. In addition, studies done on people who have been brainwashed by certain cults also show that they revert back to their normal personality after leaving the cult. So it seems that, in the long run, one’s basic personality is not affected by brainwashing.

Another common form of mental illness is bipolar disorder, in which a person suffers from extreme bouts of wild, delusional optimism, followed by a crash and then periods of deep depression. Bipolar disorder also seems to run in families and, curiously, strikes frequently in artists; perhaps their great works of art were created during bursts of creativity and optimism. A list of creative people who were afflicted by bipolar disorder reads like a Who’s Who of Hollywood celebrities, musicians, artists, and writers. Although the drug lithium seems to control many of the symptoms of bipolar disorder, the causes are not entirely clear. One theory states that bipolar disorder may be caused by an imbalance between the left and right hemispheres. Dr. Michael Sweeney notes, “Brain scans have led researchers to generally assign negative emotions such as sadness to the right hemisphere and positive emotions such as joy to the left hemisphere. For at least a century, neuroscientists have noticed a link between damage to the brain’s left hemisphere and negative moods, including depression and uncontrollable crying. Damage to the right, however, has been associated with a broad array of positive emotions.” So the left hemisphere, which is analytical and controls language, tends to become manic if left to itself. The right hemisphere, on the contrary, is holistic and tends to check this mania. Dr. V. S. Ramachandran writes, “If left unchecked, the left hemisphere would likely render a person delusional or manic.… So it seems reasonable to postulate a ‘devil’s advocate’ in the right hemisphere that allows ‘you’ to adopt a detached, objective (allocentric) view of yourself.” If human consciousness involves simulating the future, it has to compute the outcomes of future events with certain probabilities. It needs, therefore, a delicate balance between optimism and pessimism to estimate the chances of success or failures for certain courses of action. But in some sense, depression is the price we pay for being able to simulate the future. Our consciousness has the ability to conjure up all sorts of horrific outcomes for the future, and is therefore aware of all the bad things that could happen, even if they are not realistic. It is hard to verify many of these theories, since brain scans of people who are clinically depressed indicate that many brain areas are affected. It is difficult to pinpoint the source of the problem, but among the clinically depressed, activity in the parietal and temporal lobes seems to be suppressed, perhaps indicating that the person is withdrawn from the outside world and living in their own internal world. In particular, the ventromedial cortex seems to play an important role. This area apparently creates the feeling that there is a sense of meaning and wholeness to the world, so that everything seems to have a purpose. Overactivity in this area can cause mania, in which people think they are omnipotent. Underactivity in this area is associated with depression and the feeling that life is pointless. So it is possible that a defect in this area may be responsible for some mood swings.

A famous British writer is revealed to be the author of an obscure mystery novel. An immigrant is granted asylum when authorities verify he wrote anonymous articles critical of his home country. And a man is convicted of murder when he’s connected to messages painted at the crime scene. The common element in these seemingly disparate cases is “forensic linguistics”—an investigative technique that helps experts determine authorship by identifying quirks in a writer’s style. Advances in computer technology can now parse text with ever-finer accuracy. Consider the recent outing of Harry Potter author J.K. Rowling as the writer of The Cuckoo’s Calling , a crime novel she published under the pen name Robert Galbraith. England’s Sunday Times , responding to an anonymous tip that Rowling was the book’s real author, hired Duquesne University’s Patrick Juola to analyze the text of Cuckoo , using software that he had spent over a decade refining. One of Juola’s tests examined sequences of adjacent words, while another zoomed in on sequences of characters; a third test tallied the most common words, while a fourth examined the author’s preference for long or short words. Juola wound up with a linguistic fingerprint—hard data on the author’s stylistic quirks. He then ran the same tests on four other books: The Casual Vacancy , Rowling’s first post-Harry Potter novel, plus three stylistically similar crime novels by other female writers. Juola concluded that Rowling was the most likely author of The Cuckoo’s Calling , since she was the only one whose writing style showed up as the closest or second-closest match in each of the tests. After consulting an Oxford linguist and receiving a concurring opinion, the newspaper confronted Rowling, who confessed. Juola completed his analysis in about half an hour. By contrast, in the early 1960s, it had taken a team of two statisticians—using what was then a state-of-the-art, high-speed computer at MIT—three years to complete a project to reveal who wrote 12 unsigned Federalist Papers. Robert Leonard, who heads the forensic linguistics program at Hofstra University, has also made a career out of determining authorship. Certified to serve as an expert witness in 13 states, he has presented evidence in cases such as that of Christopher Coleman, who was arrested in 2009 for murdering his family in Waterloo, Illinois. Leonard testified that Coleman’s writing style matched threats spray-painted at his family’s home (photo, left). Coleman was convicted and is serving a life sentence. Since forensic linguists deal in probabilities, not certainties, it is all the more essential to further refine this field of study, experts say. “There have been cases where it was my impression that the evidence on which people were freed or convicted was iffy in one way or another,” says Edward Finegan, president of the International Association of Forensic Linguists. Vanderbilt law professor Edward Cheng, an expert on the reliability of forensic evidence, says that linguistic analysis is best used when only a handful of people could have written a given text. As forensic linguistics continues to make headlines, criminals may realize the importance of choosing their words carefully. And some worry that software also can be used to obscure distinctive written styles. “Anything that you can identify to analyze,” says Juola, “I can identify and try to hide.

In order for A to apply to computations generally, we shall need a way of coding all the different computations C(n) so that A can use this coding for its action. All the possible different computations C can in fact be listed, say as C0, C1, C2, C3, C4, C5,..., and we can refer to Cq as the qth computation. When such a computation is applied to a particular number n, we shall write C0(n), C1(n), C2(n), C3(n), C4(n), C5(n),.... We can take this ordering as being given, say, as some kind of numerical ordering of computer programs. (To be explicit, we could, if desired, take this ordering as being provided by the Turing-machine numbering given in ENM, so that then the computation Cq(n) is the action of the qth Turing machine Tq acting on n.) One technical thing that is important here is that this listing is computable, i.e. there is a single computation Cx that gives us Cq when it is presented with q, or, more precisely, the computation Cx acts on the pair of numbers q, n (i.e. q followed by n) to give Cq(n). The procedure A can now be thought of as a particular computation that, when presented with the pair of numbers q,n, tries to ascertain that the computation Cq(n) will never ultimately halt. Thus, when the computation A terminates, we shall have a demonstration that Cq(n) does not halt. Although, as stated earlier, we are shortly going to try to imagine that A might be a formalization of all the procedures that are available to human mathematicians for validly deciding that computations never will halt, it is not at all necessary for us to think of A in this way just now. A is just any sound set of computational rules for ascertaining that some computations Cq(n) do not ever halt. Being dependent upon the two numbers q and n, the computation that A performs can be written A(q,n), and we have: (H) If A(q,n) stops, then Cq(n) does not stop. Now let us consider the particular statements (H) for which q is put equal to n. This may seem an odd thing to do, but it is perfectly legitimate. (This is the first step in the powerful 'diagonal slash', a procedure discovered by the highly original and influential nineteenth-century Danish/Russian/German mathematician Georg Cantor, central to the arguments of both Godel and Turing.) With q equal to n, we now have: (I) If A(n,n) stops, then Cn(n) does not stop. We now notice that A(n,n) depends upon just one number n, not two, so it must be one of the computations C0,C1,C2,C3,...(as applied to n), since this was supposed to be a listing of all the computations that can be performed on a single natural number n. Let us suppose that it is in fact Ck, so we have: (J) A(n,n) = Ck(n) Now examine the particular value n=k. (This is the second part of Cantor's diagonal slash!) We have, from (J), (K) A(k,k) = Ck(k) and, from (I), with n=k: (L) If A(k,k) stops, then Ck(k) does not stop. Substituting (K) in (L), we find: (M) If Ck(k) stops, then Ck(k) does not stop. From this, we must deduce that the computation Ck(k) does not in fact stop. (For if it did then it does not, according to (M)! But A(k,k) cannot stop either, since by (K), it is the same as Ck(k). Thus, our procedure A is incapable of ascertaining that this particular computation Ck(k) does not stop even though it does not. Moreover, if we know that A is sound, then we know that Ck(k) does not stop. Thus, we know something that A is unable to ascertain. It follows that A cannot encapsulate our understanding.

Chapter One Vivek Ranadivé “IT WAS REALLY RANDOM. I MEAN, MY FATHER HAD NEVER PLAYED BASKETBALL BEFORE.” 1. When Vivek Ranadivé decided to coach his daughter Anjali’s basketball team, he settled on two principles. The first was that he would never raise his voice. This was National Junior Basketball—the Little League of basketball. The team was made up mostly of twelve-year-olds, and twelve-year-olds, he knew from experience, did not respond well to shouting. He would conduct business on the basketball court, he decided, the same way he conducted business at his software firm. He would speak calmly and softly, and he would persuade the girls of the wisdom of his approach with appeals to reason and common sense. The second principle was more important. Ranadivé was puzzled by the way Americans play basketball. He is from Mumbai. He grew up with cricket and soccer. He would never forget the first time he saw a basketball game. He thought it was mindless. Team A would score and then immediately retreat to its own end of the court. Team B would pass the ball in from the sidelines and dribble it into Team A’s end, where Team A was patiently waiting. Then the process would reverse itself. A regulation basketball court is ninety-four feet long. Most of the time, a team would defend only about twenty-four feet of that, conceding the other seventy feet. Occasionally teams played a full-court press—that is, they contested their opponent’s attempt to advance the ball up the court. But they did it for only a few minutes at a time. It was as if there were a kind of conspiracy in the basketball world about the way the game ought to be played, Ranadivé thought, and that conspiracy had the effect of widening the gap between good teams and weak teams. Good teams, after all, had players who were tall and could dribble and shoot well; they could crisply execute their carefully prepared plays in their opponent’s end. Why, then, did weak teams play in a way that made it easy for good teams to do the very things that they were so good at? Ranadivé looked at his girls. Morgan and Julia were serious basketball players. But Nicky, Angela, Dani, Holly, Annika, and his own daughter, Anjali, had never played the game before. They weren’t all that tall. They couldn’t shoot. They weren’t particularly adept at dribbling. They were not the sort who played pickup games at the playground every evening. Ranadivé lives in Menlo Park, in the heart of California’s Silicon Valley. His team was made up of, as Ranadivé put it, “little blond girls.” These were the daughters of nerds and computer programmers. They worked on science projects and read long and complicated books and dreamed about growing up to be marine biologists. Ranadivé knew that if they played the conventional way—if they let their opponents dribble the ball up the court without opposition—they would almost certainly lose to the girls for whom basketball was a passion. Ranadivé had come to America as a seventeen-year-old with fifty dollars in his pocket. He was not one to accept losing easily. His second principle, then, was that his team would play a real full-court press—every game, all the time. The team ended up at the national championships. “It was really random,” Anjali Ranadivé said. “I mean, my father had never played basketball before.” 2. Suppose you were to total up all the wars over the past two hundred years that occurred between very large and very small countries. Let’s say that one side has to be at least ten times larger in population and armed might

When I hung up the phone that night I had a wet face and a broken heart. The lack of compassion I witnessed every day had finally exhausted me. I looked around my crowded office, at the stacks of records and papers, each pile filled with tragic stories, and I suddenly didn’t want to be surrounded by all this anguish and misery. As I sat there, I thought myself a fool for having tried to fix situations that were so fatally broken. It’s time to stop. I can’t do this anymore. For the first time I realized my life was just full of brokenness. I worked in a broken system of justice. My clients were broken by mental illness, poverty, and racism. They were torn apart by disease, drugs and alcohol, pride, fear, and anger. I thought of Joe Sullivan and of Trina, Antonio, Ian, and dozens of other broken children we worked with, struggling to survive in prison. I thought of people broken by war, like Herbert Richardson; people broken by poverty, like Marsha Colbey; people broken by disability, like Avery Jenkins. In their broken state, they were judged and condemned by people whose commitment to fairness had been broken by cynicism, hopelessness, and prejudice. I looked at my computer and at the calendar on the wall. I looked again around my office at the stacks of files. I saw the list of our staff, which had grown to nearly forty people. And before I knew it, I was talking to myself aloud: “I can just leave. Why am I doing this?” It took me a while to sort it out, but I realized something sitting there while Jimmy Dill was being killed at Holman prison. After working for more than twenty-five years, I understood that I don’t do what I do because it’s required or necessary or important. I don’t do it because I have no choice. I do what I do because I’m broken, too. My years of struggling against inequality, abusive power, poverty, oppression, and injustice had finally revealed something to me about myself. Being close to suffering, death, executions, and cruel punishments didn’t just illuminate the brokenness of others; in a moment of anguish and heartbreak, it also exposed my own brokenness. You can’t effectively fight abusive power, poverty, inequality, illness, oppression, or injustice and not be broken by it. We are all broken by something. We have all hurt someone and have been hurt. We all share the condition of brokenness even if our brokenness is not equivalent. I desperately wanted mercy for Jimmy Dill and would have done anything to create justice for him, but I couldn’t pretend that his struggle was disconnected from my own. The ways in which I have been hurt––and have hurt others––are different from the ways Jimmy Dill suffered and caused suffering. But our shared brokenness connected us. Paul Farmer, the renowned physician who has spent his life trying to cure the world’s sickest and poorest people, once quoted me something that the writer Thomas Merton said: We are bodies of broken bones. I guess I’d always known but never fully considered that being broken is what makes us human. We all have our reasons. Sometimes we’re fractured by the choices we make; sometimes we’re shattered by things we would never have chosen. But our brokenness is also the source of our common humanity, the basis for our shared search for comfort, meaning, and healing. Our shared vulnerability and imperfection nurtures and sustains our capacity for compassion. We have a choice. We can embrace our humanness, which means embracing our broken natures and the compassion that remains our best hope for healing. Or we can deny our brokenness, forswear compassion, and, as a result, deny our own humanity.