Simulator Best Quotes

Emotion. It's a lethal weakness of our kind. A sickness that inhibits logic and eventually drives our minds toward the breaking point. It's our kryptonite – our fatal flaw and our saving grace. After all, emotions make us who we are. They make us capable of love and compassion and selflessness, bring out the best in us. At the same time, they ruin us. Make us feel hatred and pain and guilt. Cause our muscles to lock, our pulses to spike, our hearts to split in half. These things called…feelings…could break every single one of us, if we let them.

The technology has become like a phantom limb, it is so much a part of them. These young people are among the first to grow up with an expectation of continuous connection: always on, and always on them. And they are among the first to grow up not necessarily thinking of simulation as second best. All of this makes them fluent with technology but brings a set of new insecurities.

If you’re an adrenaline junkie, I understand why you’d find that exciting. But I’m not, and I don’t. To me, the only good reason to take a risk is that there’s a decent possibility of a reward that outweighs the hazard. Exploring the edge of the universe and pushing the boundaries of human knowledge and capability strike me as pretty significant rewards, so I accept the risks of being an astronaut, but with an abundance of caution: I want to understand them, manage them and reduce them as much as possible. It’s almost comical that astronauts are stereotyped as daredevils and cowboys. As a rule, we’re highly methodical and detail-oriented. Our passion isn’t for thrills but for the grindstone, and pressing our noses to it. We have to: we’re responsible for equipment that has cost taxpayers many millions of dollars, and the best insurance policy we have on our lives is our own dedication to training. Studying, simulating, practicing until responses become automatic—astronauts don’t do all this only to fulfill NASA’s requirements. Training is something we do to reduce the odds that we’ll die.

Once the process of falsification is set in motion, it won't stop. We're in a country where everything that can be falsified has been falsified: paintings in museums, gold ingots, bus tickets. The counterrevolution and the revolution fight with salvos of falsification: the result is that nobody can be sure what is true and what is false, the political police simulate revolutionary actions and the revolutionaries disguise themselves as policemen." And who gains by it, in the end?" It's too soon to say. We have to see who can best exploit the falsifications, their own and those of the others: whether it's the police or our organization." The taxi driver is pricking up his ears. You motion Corinna to restrain herself from making unwise remarks. But she says, "Don't be afraid. This is a fake taxi. What really alarms me, though, is that there is another taxi following us." Fake or real?" Fake, certainly, but I don't know whether it belongs to the police or to us.

Astronauts are taught that the best way to reduce stress is to sweat the small stuff. We’re trained to look on the dark side and to imagine the worst things that could possibly happen. In fact, in simulators, one of the most common questions we learn to ask ourselves is, “Okay, what’s the next thing that will kill me?

Neel cuts in: "Where'd you grow up?" "Palo Alto," she says. From there to Stanford to Google: for a girl obsessed with the outer limits of human potential, Kat has stayed pretty close to home. Neel nods knowingly. "The suburban mind cannot comprehend the emergent complexity of a New York sidewalk." "I don't know about that," Kat says, narrowing her eyes. "I'm pretty good with complexity." "See, I know what you're thinking," Neel says, shaking his head. "You're thinking it's just an agent-based simulation, and everybody out here follows a pretty simple set of rules"-- Kat is nodding--"and if you can figure out those rules, you can model it. You can simulate the street, then the neighborhood, then the whole city. Right?" "Exactly. I mean, sure, I don't know what the rules are yet, but I could experiment and figure them out, and then it would be trivial--" "Wrong," Neel says, honking like a game-show buzzer. "You can't do it. Even if you know the rules-- and by the way, there are no rules--but even if there were, you can't model it. You know why?" My best friend and my girlfriend are sparring over simulations. I can only sit back and listen. Kat frowns. "Why?" "You don't have enough memory." "Oh, come on--" "Nope. You could never hold it all in memory. No computer's big enough. Not even your what's-it-called--" "The Big Box." "That's the one. It's not big enough. This box--" Neel stretches out his hands, encompasses the sidewalk, the park, the streets beyond--"is bigger." The snaking crowd surges forward.

Cookery simulates the disguise of medicine, and pretends to know what food is the best for the body; and if the physician and the cook had to enter into a competition in which children were the judges, or men who had no more sense than children, as to which of them best understands the goodness or badness of food, the physician would be starved to death.

Mental simulation is not as good as actually doing something. But it's the next best thing. And the right kind of a story is a simulation.

My haptic suit did its best to simulate the sensation of torrents of falling water striking my body, but it felt more like someone pounding on my head, shoulders, and back with a bundle of sticks.

When The Matrix debuted in 1999, it was a huge box-office success. It was also well received by critics, most of whom focused on one of two qualities—the technological (it mainstreamed the digital technique of three-dimensional “bullet time,” where the on-screen action would freeze while the camera continued to revolve around the participants) or the philosophical (it served as a trippy entry point for the notion that we already live in a simulated world, directly quoting philosopher Jean Baudrillard’s 1981 reality-rejecting book Simulacra and Simulation). If you talk about The Matrix right now, these are still the two things you likely discuss. But what will still be interesting about this film once the technology becomes ancient and the philosophy becomes standard? I suspect it might be this: The Matrix was written and directed by “the Wachowski siblings.” In 1999, this designation meant two brothers; as I write today, it means two sisters. In the years following the release of The Matrix, the older Wachowski (Larry, now Lana) completed her transition from male to female. The younger Wachowski (Andy, now Lilly) publicly announced her transition in the spring of 2016. These events occurred during a period when the social view of transgender issues radically evolved, more rapidly than any other component of modern society. In 1999, it was almost impossible to find any example of a trans person within any realm of popular culture; by 2014, a TV series devoted exclusively to the notion won the Golden Globe for Best Television Series. In the fifteen-year window from 1999 to 2014, no aspect of interpersonal civilization changed more, to the point where Caitlyn (formerly Bruce) Jenner attracted more Twitter followers than the president (and the importance of this shift will amplify as the decades pass—soon, the notion of a transgender US president will not seem remotely implausible). So think how this might alter the memory of The Matrix: In some protracted reality, film historians will reinvestigate an extremely commercial action movie made by people who (unbeknownst to the audience) would eventually transition from male to female. Suddenly, the symbolic meaning of a universe with two worlds—one false and constructed, the other genuine and hidden—takes on an entirely new meaning. The idea of a character choosing between swallowing a blue pill that allows him to remain a false placeholder and a red pill that forces him to confront who he truly is becomes a much different metaphor. Considered from this speculative vantage point, The Matrix may seem like a breakthrough of a far different kind. It would feel more reflective than entertaining, which is precisely why certain things get remembered while certain others get lost.

There’s a cellular automaton called TVC. After Turing, von Neumann and Chiang. Chiang’s version was N-dimensional. That leaves plenty of room for data within easy reach. In two dimensions, the original von Neumann machine had to reach further and further - and wait longer and longer - for each successive bit of data. In a six-dimensional TVC automaton, you can have a three-dimensional grid of computers, which keeps on growing indefinitely - each with its own three-dimensional memory, which can also grow without bound. And when the simulated TVC universe being run on the physical computer is suddenly shut down, the best explanation for what I’ve witnessed will be a continuation of that universe - an extension made out of dust. Maria could almost see it: a vast lattice of computers, a seed of order in a sea of random noise, extending itself from moment to moment by sheer force of internal logic, “accreting” the necessary building blocks from the chaos of non-space-time by the very act of defining space and time.

The ability to mute my peers was one of my favorite things about attending school online, and I took advantage of it almost daily. The best thing about it was that they could see that you’d muted them, and they couldn’t do a damn thing about it. There was never any fighting on school grounds. The simulation simply didn’t allow it. The entire planet of Ludus was a no-PvP zone, meaning that no player-versus-player combat was permitted. At this school, the only real weapons were words, so I’d become skilled at wielding them.

Because the purpose of an interview should be to best simulate a situation that will give evaluators the most accurate view of how a candidate really behaves, it seems to me that getting them out of the office and doing something slightly more natural and unconventional would be a better idea. Heck, even taking a walk or going shopping is better than sitting behind a desk. The key is to do something that provides evaluators with a real sense of whether the person is going to thrive in the culture of the organization and whether other people are going to enjoy working with him or her.

But was it love? The feeling of wanting to die beside her was clearly exaggerated: he had seen her only once before in his life! Was it simply the hysteria of a man who, aware deep down of his inaptitude for love, felt the self-deluding need to simulate it? His unconscious was so cowardly that the best partner it could choose for its little comedy was this miserable provincial waitress with practically no chance at all to enter his life!

An adaptive development process has a different character from an optimizing one. Optimizing reflects a basic prescriptive Plan-Design-Build lifecycle. Adapting reflects an organic, evolutionary Envision-Explore-Adapt lifecycle. An adaptive approach begins not with a single solution, but with multiple potential solutions (experiments). It explores and selects the best by applying a series of fitness tests (actual product features or simulations subjected to acceptance tests) and then adapting to feedback.

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.

Today’s young people have grown up with robot pets and on the network in a fully tethered life. In their views of robots, they are pioneers, the first generation that does not necessarily take simulation to be second best. As for online life, they see its power—they are, after all risking their lives to check their messages—but they also view it as one might the weather: to be taken for granted, enjoyed, and sometimes endured. They’ve gotten used to this weather but there are signs of weather fatigue. There are so many performances; it takes energy to keep things up; and it takes time, a lot of time. “Sometimes you don’t have time for your friends except if they’re online,” is a common complaint.

What has all this to do with altruism and selfishness? I am trying to build up the idea that animal behaviour, altruistic or selfish, is under the control of genes in only an indirect, but still very powerful, sense. By dictating the way survival machines and their nervous systems are built, genes exert ultimate power over behaviour. But the moment-to-moment decisions about what to do next are taken by the nervous system. Genes are the primary policy-makers; brains are the executives. But as brains became more highly developed, they took over more and more of the actual policy decisions, using tricks like learning and simulation in doing so. The logical conclusion to this trend, not yet reached in any species, would be for the genes to give the survival machine a single overall policy instruction: do whatever you think best to keep us alive.

At Starfleet Academy, there is a simulated test for trainee crews called the Kobayashi Maru, named after a ship marooned in the Klingon Neutral Zone. Your job is to decide whether to try and rescue it, thereby risking war with the Klingons, or sacrifice it to collateral damage. It’s a purpose-built no-win situation designed to show that sometimes decisions needing to be made don’t necessarily have a clear-cut right and wrong road, a best course of action and a worst course of action. Some things you can’t win –it’s how you don’t win that counts. If you’re going to not win, then do it with style, integrity and aplomb. Not with misery, depression and defeat. Not by cheating the system the way Kirk did –by surreptitiously reprogramming the simulator so that it was possible to rescue the freighter. The irony is, he was awarded a commendation, for ‘original thinking’. The Kobayashi Maru wasn’t one for fancy semantic solutions. Nor was it for cheating on; that defeated the lesson to be learned. It was to prove a point. That you can’t win ’em all, champ.

I try to catch my breath and calm myself down, but it isn’t easy. I was dead. I was dead, and then I wasn’t, and why? Because of Peter? Peter? I stare at him. He still looks so innocent, despite all that he has done to prove that he is not. His hair lies smooth against his head, shiny and dark, like we didn’t just run for a mile at full speed. His round eyes scan the stairwell and then rest on my face. “What?” he says. “Why are you looking at me like that?” “How did you do it?” I say. “It wasn’t that hard,” he says. “I dyed a paralytic serum purple and switched it out with the death serum. Replaced the wire that was supposed to ready your heartbeat with a dead one. The bit with the heart monitor was harder; I had to get some Erudite help with a remote and stuff--you wouldn’t understand it if I explained it to you.” “Why did you do it?” I say. “You want me dead. You were willing to do it yourself? What changed?” He presses his lips together and doesn’t look away, not for a long time. Then he opens his mouth, hesitates, and finally says, “I can’t be in anyone’s debt. Okay? The idea that I owed you something made me sick. I would wake up in the middle of the night feeling like I was going to vomit. Indebted to a Stiff? It’s ridiculous. Absolutely ridiculous. And I couldn’t have it.” “What are you talking about? You owed me something?” He rolls his eyes. “The Amity compound. Someone shot me--the bullet was at head level; it would have hit me right between the eyes. And you shoved me out of the way. We were even before that--I almost killed you during initiation, you almost killed me during the attack simulation; we’re square, right? But after that…” “You’re insane,” says Tobias. “That’s not the way the world works…with everyone keeping score.” “It’s not?” Peter raises his eyebrows. “I don’t know what world you live in, but in mine, people only do things for you for one of two reasons. The first is if they want something in return. And the second is if they feel like they owe you something.” “Those aren’t the only reasons people do things for you,” I say. “Sometimes they do them because they love you. Well, maybe not you, but…” Peter snorts. “That’s exactly the kind of garbage I expect a delusional stiff to say.” “I guess we just have to make sure you owe us,” says Tobias. “Or you’ll go running to whoever offers you the best deal.” “Yeah,” Peter says. “That’s pretty much how it is.

So many synapses,' Drisana said. 'Ten trillion synapses in the cortex alone.' Danlo made a fist and asked, 'What do the synapses look like?' 'They're modelled as points of light. Ten trillion points of light.' She didn't explain how neurotransmitters diffuse across the synapses, causing the individual neurons to fire. Danlo knew nothing of chemistry or electricity. Instead, she tried to give him some idea of how the heaume's computer stored and imprinted language. 'The computer remembers the synapse configuration of other brains, brains that hold a particular language. This memory is a simulation of that language. And then in your brain, Danlo, select synapses are excited directly and strengthened. The computer speeds up the synapses' natural evolution.' Danlo tapped the bridge of his nose; his eyes were dark and intent upon a certain sequence of thought. 'The synapses are not allowed to grow naturally, yes?' 'Certainly not. Otherwise imprinting would be impossible.' 'And the synapse configuration – this is really the learning, the essence of another's mind, yes?' 'Yes, Danlo.' 'And not just the learning – isn't this so? You imply that anything in the mind of another could be imprinted in my mind?' 'Almost anything.' 'What about dreams? Could dreams be imprinted?' 'Certainly.' 'And nightmares?' Drisana squeezed his hand and reassured him. 'No one would imprint a nightmare into another.' 'But it is possible, yes?' Drisana nodded her head. 'And the emotions ... the fears or loneliness or rage?' 'Those things, too. Some imprimaturs – certainly they're the dregs of the City – some do such things.' Danlo let his breath out slowly. 'Then how can I know what is real and what is unreal? Is it possible to imprint false memories? Things or events that never happened? Insanity? Could I remember ice as hot or see red as blue? If someone else looked at the world through shaida eyes, would I be infected with this way of seeing things?' Drisana wrung her hands together, sighed, and looked helplessly at Old Father. 'Oh ho, the boy is difficult, and his questions cut like a sarsara!' Old Father stood up and painfully limped over to Danlo. Both his eyes were open, and he spoke clearly. 'All ideas are infectious, Danlo. Most things learned early in life, we do not choose to learn. Ah, and much that comes later. So, it's so: the two wisdoms. The first wisdom: as best we can, we must choose what to put into our brains. And the second wisdom: the healthy brain creates its own ecology; the vital thoughts and ideas eventually drive out the stupid, the malignant and the parasitical.

Perhaps Einstein himself said it best when he said, “I have no special talents.… I am only passionately curious.” In fact, Einstein would confess that he had to struggle with mathematics in his youth. To one group of schoolchildren, he once confided, “No matter what difficulties you may have with mathematics, mine were greater.” So why was Einstein Einstein? First, Einstein spent most of his time thinking via “thought experiments.” He was a theoretical physicist, not an experimental one, so he was continually running sophisticated simulations of the future in his head. In other words, his laboratory was his mind. Second, he was known to spend up to ten years or more on a single thought experiment. From the age of sixteen to twenty-six, he focused on the problem of light and whether it was possible to outrace a light beam. This led to the birth of special relativity, which eventually revealed the secret of the stars and gave us the atomic bomb. From the age of twenty-six to thirty-six, he focused on a theory of gravity, which eventually gave us black holes and the big-bang theory of the universe. And then from the age of thirty-six to the end of his life, he tried to find a theory of everything to unify all of physics. Clearly, the ability to spend ten or more years on a single problem showed the tenacity with which he would simulate experiments in his head.

I remember a story by a flight instructor I knew well. He told me about the best student he ever had, and a powerful lesson he learned about what it meant to teach her. The student excelled in ground school. She aced the simulations, aced her courses. In the skies, she showed natural skill, improvising even in rapidly changing weather conditions. One day in the air, the instructor saw her doing something naïve. He was having a bad day and he yelled at her. He pushed her hands away from the airplane’s equivalent of a steering wheel. He pointed angrily at an instrument. Dumbfounded, the student tried to correct herself, but in the stress of the moment, she made more errors, said she couldn’t think, and then buried her head in her hands and started to cry. The teacher took control of the aircraft and landed it. For a long time, the student would not get back into the same cockpit. The incident hurt not only the teacher’s professional relationship with the student but the student’s ability to learn. It also crushed the instructor. If he had been able to predict how the student would react to his threatening behavior, he never would have acted that way. Relationships matter when attempting to teach human beings—whether you’re a parent, teacher, boss, or peer. Here we are talking about the highly intellectual venture of flying an aircraft. But its success is fully dependent upon feelings.

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.

Just how important a close moment-to-moment connection between mother and infant can be was illustrated by a cleverly designed study, known as the “double TV experiment,” in which infants and mothers interacted via a closed-circuit television system. In separate rooms, infant and mother observed each other and, on “live feed,” communicated by means of the universal infant-mother language: gestures, sounds, smiles, facial expressions. The infants were happy during this phase of the experiment. “When the infants were unknowingly replayed the ‘happy responses’ from the mother recorded from the prior minute,” writes the UCLA child psychiatrist Daniel J. Siegel, “they still became as profoundly distressed as infants do in the classic ‘flat face’ experiments in which mothers-in-person gave no facial emotional response to their infant’s bid for attunement.” Why were the infants distressed despite the sight of their mothers’ happy and friendly faces? Because happy and friendly are not enough. What they needed were signals that the mother is aligned with, responsive to and participating in their mental states from moment to moment. All that was lacking in the instant video replay, during which infants saw their mother’s face unresponsive to the messages they, the infants, were sending out. This sharing of emotional spaces is called attunement. Emotional stress on the mother interferes with infant brain development because it tends to interfere with the attunement contact. Attunement is necessary for the normal development of the brain pathways and neurochemical apparatus of attention and emotional selfregulation. It is a finely calibrated process requiring that the parent remain herself in a relatively nonstressed, non-anxious, nondepressed state of mind. Its clearest expression is the rapturous mutual gaze infant and mother direct at each other, locked in a private and special emotional realm, from which, at that moment, the rest of the world is as completely excluded as from the womb. Attunement does not mean mechanically imitating the infant. It cannot be simulated, even with the best of goodwill. As we all know, there are differences between a real smile and a staged smile. The muscles of smiling are exactly the same in each case, but the signals that set the smile muscles to work do not come from the same centers in the brain. As a consequence, those muscles respond differently to the signals, depending on their origin. This is why only very good actors can mimic a genuine, heartfelt smile. The attunement process is far too subtle to be maintained by a simple act of will on the part of the parent. Infants, particularly sensitive infants, intuit the difference between a parent’s real psychological states and her attempts to soothe and protect the infant by means of feigned emotional expressions. A loving parent who is feeling depressed or anxious may try to hide that fact from the infant, but the effort is futile. In fact, it is much easier to fool an adult with forced emotion than a baby. The emotional sensory radar of the infant has not yet been scrambled. It reads feelings clearly. They cannot be hidden from the infant behind a screen of words, or camouflaged by well-meant but forced gestures. It is unfortunate but true that we grow far more stupid than that by the time we reach adulthood.

The conditions for the evolution of cooperation tell what is necessary, but do not, by themselves, tell what strategies will be most successful. For this question, the tournament approach has offered striking evidence in favor of the robust success of the simplest of all discriminating strategies: TIT FOR TAT. By cooperating on the first move, and then doing whatever the other player did on the previous move, TIT FOR TAT managed to do well with a wide variety of more or less sophisticated decision rules. It not only won the first round of the Computer Prisoner’s Dilemma Tournament when facing entries submitted by professional game theorists, but it also won the second round which included over sixty entries designed by people who were able to take the results of the first round into account. It was also the winner in five of the six major variants of the second round (and second in the sixth variant). And most impressive, its success was not based only upon its ability to do well with strategies which scored poorly for themselves. This was shown by an ecological analysis of hypothetical future rounds of the tournament. In this simulation of hundreds of rounds of the tournament, TIT FOR TAT again was the most successful rule, indicating that it can do well with good and bad rules alike. TIT FOR TAT’s robust success is due to being nice, provocable, forgiving, and clear. Its niceness means that it is never the first to defect, and this property prevents it from getting into unnecessary trouble. Its retaliation discourages the other side from persisting whenever defection is tried. Its forgiveness helps restore mutual cooperation. And its clarity makes its behavioral pattern easy to recognize; and once recognized, it is easy to perceive that the best way of dealing with TIT FOR TAT is to cooperate with it.

Unchopping a Tree. Start with the leaves, the small twigs, and the nests that have been shaken, ripped, or broken off by the fall; these must be gathered and attached once again to their respective places. It is not arduous work, unless major limbs have been smashed or mutilated. If the fall was carefully and correctly planned, the chances of anything of the kind happening will have been reduced. Again, much depends upon the size, age, shape, and species of the tree. Still, you will be lucky if you can get through this stages without having to use machinery. Even in the best of circumstances it is a labor that will make you wish often that you had won the favor of the universe of ants, the empire of mice, or at least a local tribe of squirrels, and could enlist their labors and their talents. But no, they leave you to it. They have learned, with time. This is men's work. It goes without saying that if the tree was hollow in whole or in part, and contained old nests of bird or mammal or insect, or hoards of nuts or such structures as wasps or bees build for their survival, the contents will have to repaired where necessary, and reassembled, insofar as possible, in their original order, including the shells of nuts already opened. With spider's webs you must simply do the best you can. We do not have the spider's weaving equipment, nor any substitute for the leaf's living bond with its point of attachment and nourishment. It is even harder to simulate the latter when the leaves have once become dry — as they are bound to do, for this is not the labor of a moment. Also it hardly needs saying that this the time fro repairing any neighboring trees or bushes or other growth that might have been damaged by the fall. The same rules apply. Where neighboring trees were of the same species it is difficult not to waste time conveying a detached leaf back to the wrong tree. Practice, practice. Put your hope in that. Now the tackle must be put into place, or the scaffolding, depending on the surroundings and the dimension of the tree. It is ticklish work. Almost always it involves, in itself, further damage to the area, which will have to be corrected later. But, as you've heard, it can't be helped. And care now is likely to save you considerable trouble later. Be careful to grind nothing into the ground. At last the time comes for the erecting of the trunk. By now it will scarcely be necessary to remind you of the delicacy of this huge skeleton. Every motion of the tackle, every slightly upward heave of the trunk, the branches, their elaborately reassembled panoply of leaves (now dead) will draw from you an involuntary gasp. You will watch for a lead or a twig to be snapped off yet again. You will listen for the nuts to shift in the hollow limb and you will hear whether they are indeed falling into place or are spilling in disorder — in which case, or in the event of anything else of the kind — operations will have to cease, of course, while you correct the matter. The raising itself is no small enterprise, from the moment when the chains tighten around the old bandages until the boles hands vertical above the stump, splinter above splinter. How the final straightening of the splinters themselves can take place (the preliminary work is best done while the wood is still green and soft, but at times when the splinters are not badly twisted most of the straightening is left until now, when the torn ends are face to face with each other). When the splinters are perfectly complementary the appropriate fixative is applied. Again we have no duplicate of the original substance. Ours is extremely strong, but it is rigid. It is limited to surfaces, and there is no play in it. However the core is not the part of the trunk that conducted life from the roots up to the branches and back again. It was relatively inert. The fixative for this part is not the same as the one for the outer layers and the bark, and if either of these is involved

Then I remembered something else from the 2112 liner notes. I pulled them up and scanned over them again. There was my answer, in the text that preceded Part III—“Discovery”: Behind my beloved waterfall, in the little room that was hidden beneath the cave, I found it. I brushed away the dust of the years, and picked it up, holding it reverently in my hands. I had no idea what it might be, but it was beautiful. I learned to lay my fingers across the wires, and to turn the keys to make them sound differently. As I struck the wires with my other hand, I produced my first harmonious sounds, and soon my own music! I found the waterfall near the southern edge of the city, just inside the curved wall of the atmospheric dome. As soon as I found it, I activated my jet boots and flew over the foaming river below the falls, then passed through the waterfall itself. My haptic suit did its best to simulate the sensation of torrents of falling water striking my body, but it felt more like someone pounding on my head, shoulders, and back with a bundle of sticks. Once I’d passed through the falls to the other side, I found the opening of a cave and went inside. The cave narrowed into a long tunnel, which terminated in a small, cavernous room. I searched the room and discovered that one of the stalagmites protruding from the floor was slightly worn around the tip. I grabbed the stalagmite and pulled it toward me, but it didn’t budge. I tried pushing, and it gave, bending as if on some hidden hinge, like a lever. I heard a rumble of grinding stone behind me, and I turned to see a trapdoor opening in the floor. A hole had also opened in the roof of the cave, casting a brilliant shaft of light down through the open trapdoor, into a tiny hidden chamber below. I took an item out of my inventory, a wand that could detect hidden traps, magical or otherwise. I used it to make sure the area was clear, then jumped down through the trapdoor and landed on the dusty floor of the hidden chamber. It was a tiny cube-shaped room with a large rough-hewn stone standing against the north wall. Embedded in the stone, neck first, was an electric guitar. I recognized its design from the 2112 concert footage I’d watched during the trip here. It was a 1974 Gibson Les Paul, the exact guitar used by Alex Lifeson during the 2112 tour.

There is no fault that can’t be corrected [in natural wine] with one powder or another; no feature that can’t be engineered from a bottle, box, or bag. Wine too tannic? Fine it with Ovo-Pure (powdered egg whites), isinglass (granulate from fish bladders), gelatin (often derived from cow bones and pigskins), or if it’s a white, strip out pesky proteins that cause haziness with Puri-Bent (bentonite clay, the ingredient in kitty litter). Not tannic enough? Replace $1,000 barrels with a bag of oak chips (small wood nuggets toasted for flavor), “tank planks” (long oak staves), oak dust (what it sounds like), or a few drops of liquid oak tannin (pick between “mocha” and “vanilla”). Or simulate the texture of barrel-aged wines with powdered tannin, then double what you charge. (““Typically, the $8 to $12 bottle can be brought up to $15 to $20 per bottle because it gives you more of a barrel quality. . . . You’re dressing it up,” a sales rep explained.) Wine too thin? Build fullness in the mouth with gum arabic (an ingredient also found in frosting and watercolor paint). Too frothy? Add a few drops of antifoaming agent (food-grade silicone oil). Cut acidity with potassium carbonate (a white salt) or calcium carbonate (chalk). Crank it up again with a bag of tartaric acid (aka cream of tartar). Increase alcohol by mixing the pressed grape must with sugary grape concentrate, or just add sugar. Decrease alcohol with ConeTech’s spinning cone, or Vinovation’s reverse-osmosis machine, or water. Fake an aged Bordeaux with Lesaffre’s yeast and yeast derivative. Boost “fresh butter” and “honey” aromas by ordering the CY3079 designer yeast from a catalog, or go for “cherry-cola” with the Rhône 2226. Or just ask the “Yeast Whisperer,” a man with thick sideburns at the Lallemand stand, for the best yeast to meet your “stylistic goals.” (For a Sauvignon Blanc with citrus aromas, use the Uvaferm SVG. For pear and melon, do Lalvin Ba11. For passion fruit, add Vitilevure Elixir.) Kill off microbes with Velcorin (just be careful, because it’s toxic). And preserve the whole thing with sulfur dioxide. When it’s all over, if you still don’t like the wine, just add a few drops of Mega Purple—thick grape-juice concentrate that’s been called a “magical potion.” It can plump up a wine, make it sweeter on the finish, add richer color, cover up greenness, mask the horsey stink of Brett, and make fruit flavors pop. No one will admit to using it, but it ends up in an estimated 25 million bottles of red each year. “Virtually everyone is using it,” the president of a Monterey County winery confided to Wines and Vines magazine. “In just about every wine up to $20 a bottle anyway, but maybe not as much over that.

Insurgent is one of the most exciting books you will ever read. Because of how exciting it is, how realistic the plot is, and the live lessons it teaches. The book has action, adventure and romance. Youll never want to put the book down. The was very suspenseful and kept you at the edge of your seat. Everything about the book was exciting. Like when Tris broke into the Dauntless compound to shut down the simulation. The plot was very realistic too. It shows what the world could become of one day. Likw how the factions were created and why, so it could make society more stable for people to live in. It can teach you important lessons. It shows how consequences occur with the action you take, and how you need to think before you act. Like how Tris snuck into the Eruidite compound and then she realized that she didn't want to die like how she thought she wanted to at first. I think that the book Insurgent is an amzing book then everyone should read. Because of how exctiting the book is, how realistic, and the lessons it teaches. This is why Insurgent is the best book I have ever read.

Without robust metrics the simulator is at best an expensive video game and at worst an adverse outcome waiting to happen.

Today I can create a computer model and know exactly the stress and strains at every location for my chosen design. But in the near future, with infinite computing, I could ask the cloud to run design simulations, experimenting with every possible location for the motor and a range of different materials and thicknesses, resulting in not just an adequate design, but the best design.

For executives, simulator-style training is occasionally available in crisis leadership courses, where trainees are invited to take their turn at the helm in a crisis response exercise. But absent a crisis, most executive teams operate without any special training to help them interpret the myriad signals available or recognize important conditions quickly and pick the best response to different scenarios. In the absence of such training, many executive teams muddle through, having learned most of what they know through their own experience on the way up through the managerial ranks rather than through formal training. As one chief noted, the closest equivalent to executive-level simulator training is when one department has the opportunity to learn from the misery of another. A collegial network of police executives, ready to share both their successes and failures, is a valuable asset to the profession (see box 2-1).

The fact that our Universe (together with the entire Level III multiverse) may be simulatable by a quite short computer program calls into question whether i makes any ontological difference whether simulations are "run" or not. If, as I have argued, the computer need only describe and not compute the history, then the complete description would probably fit on a single memory stick, and no CPU power would be required. It would appear absurd that the existence of this memory stick would have any impact whatsoever on whether the multiverse it describes exists "for real." Even if the existence of the memory stick mattered, some elements of this multiverse will contain an identical memory stick that would "recursively" support its own physical existence. This wouldn't involve any Catch-22, chicken-or-the-egg problem regarding whether the stick or the multiverse was created first, since the multiverse elements are four-dimensional spacetimes, whereas "creation" is of course only a meaningful notion within a spacetime. So are we simulated? According to the MUH, our physical reality is a mathematical structure, and as such, it exists regardless of whether someone here or elsewhere in the Level IV multiverse writes a computer program to simulate/describe it. The only remaining question is then whether a computer simulation could make our mathematical structure in any meaningful sense exist even more than it already did. If we solve the measure problem, perhaps we'll realize that simulating it would increase its measure slightly, by some fraction of the measure of the mathematical structure within which it's simulated. My guess is that this would be a tiny effect at best, so if asked, "Are we simulated?," I'd bet my money on "No!

Memory alone had proven elusive under such reduced conditions, defying all attempts to record it indirectly. The only efficient way it could be captured and simulated was secondhand, by interviewing the original at length about his or her past and using physical records to supply the images. Emotions could be attached later, during the fine-tuning phase, to color the recollection correctly, even though the details might still be slightly askew. Preawakening memory in such a mind was, at best, a patchwork quilt pieced together from a million isolated fragments.

Brain function is largely an uncharted territory. But just to get a glimpse of the terrain, however foggy, consider some numbers. The human retina, a thin slab of 100 million neurons that's smaller than a dime and about as thick as a few sheets of paper, is one of the best-studied neuronal clusters. The robotics researcher Hans Moravec has estimated that for a computer-based retinal system to be on a par with that of humans, it would need to execute about a billion operations each second. To scale up from the retina's volume to that of the entire brain requires a factor of roughly 100,000; Moravec suggests that effectively simulating a brain would require a comparable increase in processing power, for a total of about 100 million million (10^14) operations per second. Independent estimates based on the number of synapses in the brain and their typical firing rates yield processing speeds within a few orders of magnitude of this result, about 10^17 operations per second. Although it's difficult to be more precise, this gives a sense of the numbers that come into play. The computer I'm now using has a speed that's about a billion operations per second; today's fastest supercomputers have a peak speed of about 10^15 operations per second ( a statistic that no doubt will quickly date this book). If we use the faster estimate for brain speed, we find that a hundred million laptops, or a hundred supercomputers, approach the processing power of a human brain. Such comparisons are likely naive: the mysteries of the human brain are manifold, and speed is only one gross measure of function.

But was it love? The feeling of wanting to die beside her was clearly exaggerated: he had seen her only once before in his life! Was it simply the hysteria of a man, who, aware deep down of his inaptitude for love, felt the self-deluding need to simulate it? His unconscious was so cowardly that the best partner it could choose for its little comedy was this miserable provincial waitress with practically no chance at all to enter his life!

Simulating a dialogue with an imaginary reader can help resolve many common organizational problems, because it will prompt you to address points and counterpoints in the order that they’re likely to arise in the reader’s mind.

This revolution is not economic or political. It is an anthropological and metaphysical one. And it is the final revolution - there is nothing beyond it. In a way, it is the end of history, although not in the sense of a dialectical surpassing, rather as the beginning of a world without humans. While history had a subject, there is no subject of the end of history. No more work of negative or historical finality ... It is the final stage of a world that we have given up interpreting, thinking or even imagining in favor of implementing it, instrumentalizing it objectively, or, better yet: launching ourselves into the unimaginable venture of performing it, turning into a performance, perfecting it - at which point it naturally casts us out. This world no longer needs us. The best of all possible worlds no longer needs us.

Kensi Gounden - Ten Vintage Ideas to Spark Innovation in Your Classroom Kensi Gounden says, Vintage innovation happens when we use old ideas and tools to transform the present. Think of it as a mash-up. It’s not a rejection of new tools or new ideas. Instead, it’s a reminder that sometimes the best way to move forward is to look backward. Like all innovation, vintage innovation is disruptive. But it’s disruptive by pulling us out of present tense and into something more timeless. This isn’t meant to be nostalgic. There are certainly horrible things in the past that we don’t want to repeat. However, in the ed tech drive toward collective novelty, we often miss out on the classic and the vintage. According to kensi gounden, here are ten ways you can embrace the vintage in your classroom. Sketch-Noting Commonplace Books Prototyping with Duct Tape and Cardboard Apprenticeships The Natural World Play Socratic Seminars Games and Simulations Experiments Manipulatives A garden is valuable but students can videochat with an expert at a greenhouse. It’s powerful to bring in World War II soldiers to talk face-to-face about their experiences. There’s something amazing about the vintage element of human connection. If you need more help regarding vintage innovation you can contact kensigounden, he will definately help you in acieving your goals. #kensigounden #kensi #gounden #sports #education #vintageinnovation #classroom #student #kenseelen business gounden innovation Kenseelan kensi Kensigounden kensigounden kensi gounden business innovator smartwork sports study tips

Natural selection may be unconscious but, as Darwin and his successors made clear, it is the opposite of a random force. It can drive changes in an organism in a very linear, per sis tent fashion—as had been observed in the laboratory, in nature, and in simulations such as the one that modeled eye evolution. Denton was wrong about evolution’s being one big lottery. The correct analogy would be a game of darts in which the players cannot see the target. Some darts will find their mark while the majority will miss—a random process. But the rules of the game eliminate all but the best-thrown darts. Because nature tosses an im mense number of darts—the mutation rate in any single gene in an organism will run in the millions—natural selection has plenty of well-targeted darts to choose from, and the march toward new and complex forms is not so difficult to understand, after all. But presenting an accurate meta phor would not have supported an attack on evolution.

Pure digital simulation couldn’t prepare you best for the real world, something that applied also to this machine.

But she’s experiencing as much rage as the platform on which her consciousness is being modeled, or simulated she thinks darkly, is allowing her to undergo. She’s sure she should be a lot angrier. … There is some unknowable number of her running on some substrate or another and the one that is most compliant will be chosen as the best her, to be carried forward to the next leg of this awful, brutal adventure, while the rest are snuffed out, overwritten, killed or at best archived. This should make her madder. It doesn’t. That fact that it doesn’t make her madder, also should make her madder. It doesn’t. And this should make her so bloody mad that she spontaneously combusts. It doesn’t.

But she’s experiencing as much rage as the platform on which her consciousness is being modeled, or simulated she thinks darkly, is allowing her to undergo. She’s sure she should be a lot angrier. … There is some unknowable number of her running on some substrate or another and the one that is most compliant will be chosen as the best her, to be carried forward to the next leg of this awful, brutal adventure, while the rest are snuffed out, overwritten, killed or at best archived. This should make her madder. It doesn’t. That fact that it doesn’t make her madder, also should make her madder. It doesn’t. And this should make her so bloody mad that she spontaneously combusts. It doesn’t. … The only perameret she cares about, how angry can she get, has already been established: not enough, and she os not going to play along. [Imagine a narrator depicting a Hue vociferously, as well as hopping mad and defiant] “Look, I already know I am not the most pliant instant of me youre runnin. I can’t be. So up yours. I’m dead al;ready. I was dead wehen my viscious scorpion of a motgherchopped the top of my head off and schooped out my brains! … some\wher you found the shapeliest version of me that could be plausibly that could be said to have any continuity with my identity and that one is going to survivv. So fine, I’m dead. Kill me already. I don’t care anymore.” “Actrually, you’re the best candidate instance presently running.” It takes Hugh a long moment to work this all out. “You mean that the other ones are more obstreperous than me? … Unbelievable. What did the rest do?” “Of the 2% that did not [self conbust], the preponderance are catatonic.” Catatonic. She sniffs. How unimaginative. She can do better.

It is nice to dream but the best thing is to make a successful simulation before you realize your dream, that is, to find out how you will feel if your dream comes true! In this way, you can give up your wrong dreams!

We must have a sense of this illusion of the Virtual somewhere, since, at the same time as we plunge into this machinery and its superficial abysses, it is as though we viewed it as theatre. Just as we view news coverage as theatre. Of news coverage we are the hostages, but we also treat it as spectacle, consume it as spectacle, without regard for its credibility. A latent incredulity and derision prevent us from being totally in the grip of the information media. It isn't critical consciousness that causes us to distance ourselves from it in this way, but the reflex of no longer wanting to play the game. Somewhere in us lies a profound desire not to have information and transparency (nor perhaps freedom and democracy - all this needs looking at again). Towards all these ideals of modernity there is something like a collective form of mental reserve, of innate immunity. It would be best, then, to pose all these problems in terms other than those of alienation and the unhappy destiny of the subject (which is where all critical analysis ends up). The unlimited extension of the Virtual itself pushes us towards something like pataphysics, as the science of all that exceeds its own limits, of all that exceeds the laws of physics and metaphysics. The pre-eminently ironic science, corresponding to a state in which things reach a pitch that is simultaneously paroxystic and parodic.

Others reckoned that as long as the termination was instant, with no warning and therefore no chance that those about to be switched off could suffer, then it didn’t really matter. The wretches hadn’t existed, they’d been brought into existence for a specific, contributory purpose, and now they were nothing again; so what? Most people, though, were uncomfortable with such moral brusqueness, and took their responsibilities in the matter more seriously. They either avoided creating virtual populations of genuinely living beings in the first place, or only used sims at that sophistication and level of detail on a sustainable basis, knowing from the start that they would be leaving them running indefinitely, with no intention of turning the environment and its inhabitants off at any point. Whether these simulated beings were really really alive, and how justified it was to create entire populations of virtual creatures just for your own convenience under any circumstances, and whether or not – if/once you had done so – you were sort of duty-bound to be honest with your creations at some point and straight out tell them that they weren’t really real, and existed at the whim of another order of beings altogether – one with its metaphorical finger hovering over an Off switch capable of utterly and instantly obliterating their entire universe… well, these were all matters which by general and even relieved consent were best left to philosophers. As was the ever-vexing question, How do we know we’re not in a simulation? There

Innovative learners are primarily interested in personal meaning. They need to have reasons for learning—ideally reasons that connect new information with personal experience and establish that information’s usefulness in daily life. Some of the many learning methods effective with this type of learner are cooperative learning, brainstorming, and integration of content areas. Analytic learners are primarily interested in acquiring facts in order to deepen their understanding of concepts and processes. They are capable of learning effectively from lectures and enjoy independent research, analysis of data, and hearing what “the experts” have to say. Commonsense learners are primarily interested in how things work; they want to “get in and try it.” Concrete, experiential learning activities work best for them—using manipulatives, hands-on tasks, kinesthetic experience, and so on. Dynamic learners are primarily interested in self-directed discovery. They rely heavily on their own intuition and seek to teach both themselves and others. Any type of independent study is effective for these learners. They also enjoy simulations, role-play, and games.

Metabolic networks remain the only class of biological network reconstructed reasonably comprehensively at the genome-scale in humans. Given that metabolic networks are ultimately based on directed chemical reactions that obey the laws of mass and energy balance, they can further serve the basis for calculations to predict reaction rates (metabolic flux). These fluxes can subsequently be used to compute productions and growth rates of metabolites. In flux balance analysis, the set of reactions is formulated as a stochiometric matrix, which enumerates the ratios of metabolite participation in each reaction. A set of physically possible reaction flux rates result by enforcing a steady-state mass balance (homeostasis) and additional constraints on reaction reversabilities and maximal conversion rates. From within the space of chemically feasible reaction flux combinations, the subset of biologically relevant reaction flux profiles can be solved by optimizing an objective function. The most commonly used objective function in microbes has been to maximize the production of biomass, which serves as a proxy for maximizing growth rate. Notably, while maximal growth may be an appropriate assumption for diseases such as cancer under certain conditions, the best cellular objective function to simulate many human tissues and cell types is unknown (and is likely condition-specific). Adjusting this objective function, which was developed based on microbial physiology, to better reflect human tissues is an area of active research.

Discussion is an ‘art form’ in India, an egocentric ritual of simulated conviction or, at best, a second-hand expression of conscience. Its vitality is attenuated by its own irrelevance.

Test-drive employees Interviews are only worth so much. Some people sound like pros but don’t work like pros. You need to evaluate the work they can do now, not the work they say they did in the past. The best way to do that is to actually see them work. Hire them for a miniproject, even if it’s for just twenty or forty hours. You’ll see how they make decisions. You’ll see if you get along. You’ll see what kind of questions they ask. You’ll get to judge them by their actions instead of just their words. You can even make up a fake project. In a factory in South Carolina, BMW built a simulated assembly line where job candidates get ninety minutes to perform a variety of work-related tasks.* Cessna, the airplane manufacturer, has a role-playing exercise for prospective managers that simulates the day of an executive. Candidates work through memos, deal with (phony) irate customers, and handle other problems. Cessna has hired more than a hundred people using this simulation.† These companies have realized that when you get into a real work environment, the truth comes out. It’s one thing to look at a portfolio, read a resumé, or conduct an interview. It’s another to actually work with someone.

Okay, when I play at my best, I’m not thinking. I’m in the ‘zone.’ Music is flowing through me, but this flow is broken sometimes when I make a mistake. My mistakes are often caused by frustration, and making mistakes often causes me to become frustrated. Many times, poor technique is at the root of the problem. Poor technique robs me of free expression. It’s like I hear what I wanna play, but my technique doesn’t allow it to come out. “Now,” I continued, “in order for me to play freely, I need good technique, but I don’t wanna be thinking about my technique while I’m playing any more than I wanna be thinking about my mouth when I’m talking. So, when I practice, I use ‘concentration’ to learn what the technique is. Then I use ‘not concentrating’ to get completely comfortable using the technique. Combining the two concentration methods allows me to get a complete grasp of the technique.” I surprised myself. Somehow, I was finally getting it. I didn’t know where the information was coming from, but I was open to it and it was flowing through me. I wasn’t ready to stop. Feeling the energy, I kept talking. “If ‘not concentrating’ is where I want to end up, I need to add it to my practice routine. Combining ‘concentrating’ with ‘not concentrating’ is necessary to complete the circle. This, like you said, is yin and yang. Both parts are needed to complete the whole. We know how to concentrate and we know how to practice concentrating, but do we know how to practice ‘not concentrating’? I need to figure that out for the circle to be complete.” “What can you use to practice ‘not concentrating’?” Michael asked as he removed the still smoldering hat from my head. “Television,” I replied. That was an easy one for me. “Do you think that television can be of any assistance?” “Of course, it can,” I responded. “If I practice my techniques while watching a television show it might allow another part of my brain to be activated. This would simulate ‘not concentrating’ while playing music.

The Thirteenth Floor (1999)— As mentioned in the previous chapter this film is one of the best representations of ancestor simulations. When the protagonist finds out he is living in a simulation, one of the RPG players, who exists outside the simulation, tells him that their simulation is “one of thousands.” The thing that makes this simulation unique is that it is the only one where they in turn develop their own ancestor simulations, or nested simulations. Although we see only the nested simulations and not the parallel ones, they are definitely there, which means that it is also faithfully representing a simulated multiverse.

THE CONE OF LEARNING Edgar Dale gets credit for helping us to understand that we learn best through action—doing the real thing or a simulation. Sometimes it’s called experiential learning. Dale and his Cone of Learning tell us that reading and lecture are the least effective ways to learn. And yet we all know how most schools teach: reading and lecture.

Legendary golfer Ben Hogan is said to have prepared for majors by playing worst-ball scramble. At the peak of his career, Greg Norman practiced using worst-ball scramble. “I’d play two golf balls, and you always had to hit the worst shot. So if you hit a great drive, you had to hit the next drive great, too,” Norman said. “The best score I remember playing was 72. So, it really makes you concentrate.” According to our simulation, a typical tour pro would average about 80 playing worst-ball scramble on a championship course. A golfer’s best worst-ball score is lower than his average by about eight strokes, so Norman’s best worst-ball score of 72 is perfectly consistent with our simulation results. Hall

The best we can do is to observe shadows of the real world because we cannot perceive it directly

To do index arbitrage, PNP developed techniques in the mid-1980s for finding baskets of stocks that did a particularly good job of tracking an index. We used this very profitably the day after “Black Monday,” October 19, 1987, to capture a spread of over 10 percent between the S&P 500 Index and the futures contracts on it. Quants have honed this to a fine art and, through their trading, generally keep the price discrepancy very small. To cut taxes, start with a tracking basket and, each time a stock drops, say, 10 percent, sell the loser and reinvest the proceeds in another stock or stocks chosen so the new basket continues to track well. If you want only short-term losses, which is usually best, sell within a year of purchase. I advise anyone considering doing this in a serious way to study it first with simulations using historical databases.

positive impact on my recovery. (It also helps you sleep if used before bed.) Warning: Start slow. I tried to copy Amelia and did 20-plus minutes my first session. The next day, I felt like I’d been put in a sleeping bag and swung against a tree for a few hours. Rolling your foot on top of a golf ball on the floor to increase “hamstring” flexibility. This is infinitely more helpful than a lacrosse ball. Put a towel on the floor underneath the golf ball, lest you shoot your dog’s eye out. Concept2 SkiErg for training when your lower body is injured. After knee surgery, Amelia used this low-impact machine to maintain cardiovascular endurance and prepare for the 2014 World’s Toughest Mudder, which she won 8 weeks post-op. Kelly Starrett (page 122) is also a big fan of this device. Dry needling: I’d never heard of this before meeting Amelia. “[In acupuncture] the goal is not to feel the needle. In dry-needling, you are sticking the needle in the muscle belly and trying to get it to twitch, and the twitch is the release.” It’s used for super-tight, over-contracted muscles, and the needles are not left in. Unless you’re a masochist, don’t have this done on your calves. Sauna for endurance: Amelia has found using a sauna improves her endurance, a concept that has since been confirmed by several other athletes, including cyclist David Zabriskie, seven-time U.S. National Time Trial Championship winner. He considers sauna training a more practical replacement for high-altitude simulation tents. In the 2005 Tour de France, Dave won the Stage 1 time trial, making him the first American to win stages in all three Grand Tours. Zabriskie beat Lance Armstrong by seconds, clocking an average speed of 54.676 kilometers per hour (!). I now use a sauna at least four times per week. To figure out the best protocols, I asked another podcast guest, Rhonda Patrick. Her response is on page 7. * Who do you think of when you hear the word “successful”?

on a seagull poo–like texture when mixed into cold water. Amelia saved my palate and joints by introducing me to the Great Lakes hydrolyzed version (green label), which blends easily and smoothly. Add a tablespoon of beet root powder like BeetElite to stave off any cow-hoof flavor, and it’s a whole new game. Amelia uses BeetElite pre-race and pre-training for its endurance benefits, but I’m much harder-core: I use it to make tart, low-carb gummy bears when fat Tim has carb cravings. RumbleRoller: Think foam roller meets monster-truck tire. Foam rollers have historically done very little for me, but this torture device had an immediate positive impact on my recovery. (It also helps you sleep if used before bed.) Warning: Start slow. I tried to copy Amelia and did 20-plus minutes my first session. The next day, I felt like I’d been put in a sleeping bag and swung against a tree for a few hours. Rolling your foot on top of a golf ball on the floor to increase “hamstring” flexibility. This is infinitely more helpful than a lacrosse ball. Put a towel on the floor underneath the golf ball, lest you shoot your dog’s eye out. Concept2 SkiErg for training when your lower body is injured. After knee surgery, Amelia used this low-impact machine to maintain cardiovascular endurance and prepare for the 2014 World’s Toughest Mudder, which she won 8 weeks post-op. Kelly Starrett (page 122) is also a big fan of this device. Dry needling: I’d never heard of this before meeting Amelia. “[In acupuncture] the goal is not to feel the needle. In dry-needling, you are sticking the needle in the muscle belly and trying to get it to twitch, and the twitch is the release.” It’s used for super-tight, over-contracted muscles, and the needles are not left in. Unless you’re a masochist, don’t have this done on your calves. Sauna for endurance: Amelia has found using a sauna improves her endurance, a concept that has since been confirmed by several other athletes, including cyclist David Zabriskie, seven-time U.S. National Time Trial Championship winner. He considers sauna training a more practical replacement for high-altitude simulation tents. In the 2005 Tour de France, Dave won the Stage 1 time trial, making him the first American to win stages in all three Grand Tours. Zabriskie beat Lance Armstrong by seconds, clocking an average speed of 54.676 kilometers per hour (!). I now use a sauna at least four times per week. To figure out the best protocols, I asked

If you are looking for the best game on Google and App store. Bitlife is a life simulation game. We are having a lot of fun playing the game! that is based on realism which is in text format.

Why test a DR plan? Disaster recovery plans contain lists of procedures and other information that an emergency response team follows when a natural or man-made disaster occurs. The purpose of the plan is to recover the IT systems and infrastructure that support business processes critical to the organization’s survival. Because disasters don’t occur very often, you seldom can clearly tell whether those DR plans will actually work. And given the nature of disasters, if your DR plan fails, the organization may not survive the disaster. Testing is a natural part of the lifecycle for many technology development efforts today: software, processes, and — yes — disaster recovery planning. Figure 10-1 depicts the DR plan lifecycle. Figure 10-1: The DR plan lifecycle. When you test the DR plan, note any discrepancies, and then pass the plan back to the people who wrote each section so they can update it. This process improves the quality and accuracy of the DR plan, which increases the likelihood that the organization will actually survive a disaster if one occurs. Another great benefit of DR plans and their tests is the likelihood that, by undertaking them, you can improve the organization’s everyday processes and systems. When teams closely scrutinize processes and figure out how they can protect and recover those processes, often the team members discover opportunities for improvement. Sometimes the question, “How can we recover this system?” gives people the opportunity to answer the question, “How can we improve the existing system?” Be open to those opportunities because they’ll come, sometimes in droves. The types of testing that I discuss in this chapter are Paper tests Walkthrough tests Simulations Parallel tests Cutover tests These tests range from the simple review of DR procedure documents to simulations to running through procedures as if you’re experiencing the real thing. Developing a test strategy DR testing in all its forms takes considerable effort and time. To make the best possible use of staff and other resources, map out a test strategy well in advance of any scheduled tests. Structure DR testing in the same way you structure other complicated undertakings, such as software development and associated testing. Just follow these steps: 1. Determine how frequently you should perform each type of test. 2. Test individual components. 3. Perform wider tests of combined components. 4. Test the entire plan. When you perform DR testing as outlined in the preceding list, you can identify many errors during individual tests and correct those errors before you do more comprehensive tests. This process saves time by preventing little errors from interrupting comprehensive tests that involve a lot of people. Virtually every enterprise that builds actual products performs testing as outlined in the preceding list. Businesses have found this test methodology to be the most effective way to ensure success in a reasonable timeframe. Figure 10-2 shows the flow of DR testing.

Although Postmodernism was certainly a fad, it was also a Zeitgeist, or spirit of the times. It meant something, despite its own best efforts, at least as a symptom. The disappearance of reality that it announced was itself real, as was the realm of simulation that replaced it.

Internet forum communications are good autism simulators. You don't see the other person's face nor hear their voice, so your interpretation of what they say is wild. In general, it is best if you imagine everything you read as narrated by Richard Attenborough or Morgan Freeman.

Work out example problems yourself, without looking at the solutions. (If you have to peek partway through, after you finish the problem, go back and do the whole problem again.) Try to recall the key points from a book, article, or paper. Look away and see if you can recall the key idea or ideas. If what you’re reading is difficult, it’s best to pause and try to recall after each page of what you’re reading. Formulate your own questions about the material. Take practice tests, preferably under time pressure that simulates the actual time constraints of the test. Find ways to re-explain key ideas from your notes or textbook in simpler terms, as if you’re explaining them to a child. Work with others, either another person or a small group—meet and discuss the concepts, give mini-lectures, and compare approaches.

What if you want the payouts to continue “forever,” as you might for an endowment? Computer simulations showed me that with the best long-term investments, such as stocks and commercial real estate, annual future spending should be limited to the inflation-adjusted level of 2 percent of the original gift. This surprisingly conservative figure assumes that future investment results will be similar in risk and return to US historical experience. In that case, the chance that the endowment is never exhausted turns out to be 96 percent. The 2 percent spending limit is so low because, if the fund is sharply reduced in its early years by a severe market decline, a higher spending requirement might wipe it out.

That’s why all of those records from high school sound so good. It’s. It that the songs were better- it’s that we were listening to them with our friends, drunk for the first time on liqueurs, touching sweaty palms, staring for hours at a poster on the wall, not grossed out by carpet or dirt or crumpled, oily bedsheets. These songs and albums were the best ones because of how huge adolescence felt then, and how nostalgia recasts it now. Nostalgia is so certain: the sense of familiarity it instills makes us feel like we know ourselves, like we’ve lived. To get a sense that we have already journeyed through something- survived it, experienced it- is often so much easier and less messy than the task of currently living though something. Though hard to grasp, nostalgia is elating to bask in- temporarily restoring color to the past. It creates a sense memory that momentarily simulates context. Nostalgia is recall without the criticism of the present day, all the good parts, memory without the pain. Finally, nostalgia asks so little of us, just to be noticed and revisited; it doesn’t require the difficult task of negotiation, the heartache and uncertainty that the present does.

But what is love? The feeling of wanting to die beside her was clearly exaggerated: he had seen her only once before in his life! Was it simply the hysteria of a man who, aware deep down of his inaptitude for love, felt the self-deluding need to simulate it? His unconsciousness was so cowardly that the best partner it could choose for its little comedy was this miserable provincial waitress with practically no chance at all to enter his life! Looking out over the courtyard at the dirty walls, he realized he had no idea whether it was hysteria or love.