Hardware And Software Quotes

Our biological body itself is a form of hardware that needs re-programming through tantra like a new spiritual software which can release or unblock its potential.

People who are really serious about software should make their own hardware.

While the hardware of civilization - iron pots, blankets, guns - was welcomed by Native people, the software of Protestantism and Catholicism - original sin, universal damnation, atonement, and subligation - was not, and Europeans were perplexed, offended, and incensed that Native peoples had the temerity to take their goods and return their gods.

If you can't reprogram the software, reprogram the hardware, right?

Code is not like other how-computers-work books. It doesn't have big color illustrations of disk drives with arrows showing how the data sweeps into the computer. Code has no drawings of trains carrying a cargo of zeros and ones. Metaphors and similes are wonderful literary devices but they do nothing but obscure the beauty of technology.

Life 1.0”: life where both the hardware and software are evolved rather than designed. You and I, on the other hand, are examples of “Life 2.0”: life whose hardware is evolved, but whose software is largely designed. By your software, I mean all the algorithms and knowledge that you use to process the information from your senses and decide what to do—everything from the ability to recognize your friends when you see them to your ability to walk, read, write, calculate, sing and tell jokes.

The best way to predict the future is to invent it” and “People who are serious about software should make their own hardware.

Artificial intelligence is defined as the branch of science and technology that is concerned with the study of software and hardware to provide machines with the ability to learn insights from data and the environment, and the ability to adapt to changing situations with increasing precision, accuracy, and speed.

Trans campaigners intent on arguing that trans is hardware can only win their argument if they persuade people that being a woman is a matter of software. And not all feminists are willing to concede that one.

The hardware of a computer is useless without the right software. Similarly, in an organization the hardware (strategy and structure) is inert without the software (beliefs and behaviors).

To use a computer analogy, we are running twenty-first-century software on hardware last upgraded 50,000 years ago or more. This may explain quite a lot of what we see in the news.

It’s not like we have the same brains as people a thousand years ago.” Wait: “Yes we do.” “We have the same hardware, but not the same software.

The real bottleneck is software. Creating software can be done only the old-fashioned way. A human -sitting quietly in a chair with a pencil, paper and laptop- is going to have to write the codes... One can mass-produce hardware and increase it's power by piling on more and more chips, but you cannot mass-produce the brain.

The French philosopher Jacques Derrida likens writing fiction to a software code that operates in the hardware of your mind. Stringing together separate macros that, combined, will create a reaction.

Programming in machine code is like eating with a toothpick.

Quantum Machine Learning is defined as the branch of science and technology that is concerned with the application of quantum mechanical phenomena such as superposition, entanglement and tunneling for designing software and hardware to provide machines the ability to learn insights and patterns from data and the environment, and the ability to adapt automatically to changing situations with high precision, accuracy and speed. 

You wouldn’t believe the scope for mischief that the Beast of Redmond unintentionally builds into its Office software by letting it execute macros that have unlimited access to the hardware. I remember a particular post-prandial PowerPoint presentation where I was one of only two survivors (and the other wasn’t entirely human). However, this is the first time I’ve seen a Word document eat a man’s soul.

In other words, we can think of life as a self-replicating information-processing system whose information (software) determines both its behavior and the blueprints for its hardware.

Universal education through schooling is not feasible. It would be no more feasible if it were attempted by means of alternative institutions built on the style of present schools. Neither new attitudes of teachers toward their pupils nor the proliferation of educational hardware or software (in classroom or bedroom), nor finally the attempt to expand the pedagogue’s responsibility until it engulfs his pupils’ lifetimes will deliver universal education. The current search for new educational funnels must be reversed into the search for their institutional inverse: educational webs which heighten the opportunity for each one to transform each moment of his living into one of learning, sharing, and caring.

It is not brains or intelligence that is needed to cope with the problems with Plato and Aristotle and all of their successors to the present have failed to confront. What is needed is a readiness to undervalue the world altogether. This is only possible for a Christian... All technologies and all cultures, ancient and modern, are part of our immediate expanse. There is hope in this diversity since it creates vast new possibilities of detachment and amusement at human gullibility and self-deception. There is no harm in reminding ourselves from time to time that the "Prince of this World" is a great P.R. man, a great salesman of new hardware and software, a great electric engineer, and a great master of the media. It is his master stroke to be not only environmental but invisible for the environmental is invincibly persuasive when ignored.

Cloud first software architecture is critical to designing efficient systems. All the hardware need to be capable of the most sophisticated things and then we can focus our attention on improving software capabilities.

Software will give you respect, but hardware will give you the Power.

We could just as reasonably base our number system on eight (if we were cartoon characters) or four (if we were lobsters) or even two (if we were dolphins).

To get Windows 10 reliable, I had to lobotomise the installed software and USB devices.

as data becomes the new oil, many business models will be transformed from hardware to software to services.

Formal mathematics is nature's way of letting you know how sloppy your mathematics is.

How many software developers does it take to change a lightbulb? None, it's a hardware problem.

Life 1.0”: life where both the hardware and software are evolved rather than designed.

Dryware, wetware, hardware, software, blackware, darkware, nightware, nightmare . . . The modem sits inviting beside the phone, red eyes. I let it rest— you can’t trust anybody these days.

aujourd’hui. Nous, les scientifiques, nous sommes très concentrés sur l’étude de l’encre et du papier dont est fait l’univers. Mais cette étude nous révèle-t-elle vraiment ce qu’est l’univers ? Ne nous faudrait-il pas l’étudier aussi sur un plan sémantique ? Ne devrions nous pas écouter sa musique et saisir sa poésie ? Dans l’observation de l’univers, ne sommes-nous pas focalisés sur le hardware, ignorant une dimension aussi importante que celle du software ?

When the veterans in the group were growing up, computers were quite rare and expensive, but Veres went to school in the age when anyone with a little money and skill could make up a small personal system. Veres says that what he does at home is different enough from what he does at work to serve as recreation for him. At work he deals with hardware; when he’s at home, he focuses on software—reading programming manuals and creating new software for his own computer.

Culture, it turns out, is the way that every brain makes sense of the world. That is why everyone, regardless of race or ethnicity, has a culture. Think of culture as software for the brain’s hardware. The brain uses cultural information to turn everyday happenings into meaningful events. If we want to help dependent learners do more higher order thinking and problem solving, then we have to access their brain’s cognitive structures to deliver culturally responsive instruction.

If we think of the relationship between software and hardware, Artificial Intelligence mainly flows from software to hardware, just as the human mind controls the body. The recognition processed by Machine Learning directs hardware and other software. On the contrary, in the Internet of Things, processing from hardware to software is the main process, and the huge amount of big data collected by sensors is analysed by software.

Private sector networks in the United States, networks operated by civilian U.S. government agencies, and unclassified U.S. military and intelligence agency networks increasingly are experiencing cyber intrusions and attacks,” said a U.S.-China Economic and Security Review Commission report to Congress that was published the same month Conficker appeared. “. . . Networks connected to the Internet are vulnerable even if protected with hardware and software firewalls and other security mechanisms. The government, military, businesses and economic institutions, key infrastructure elements, and the population at large of the United States are completely dependent on the Internet. Internet-connected networks operate the national electric grid and distribution systems for fuel. Municipal water treatment and waste treatment facilities are controlled through such systems. Other critical networks include the air traffic control system, the system linking the nation’s financial institutions, and the payment systems for Social Security and other government assistance on which many individuals and the overall economy depend. A successful attack on these Internet-connected networks could paralyze the United States [emphasis added].

I’d upgraded my memory’s software, but my hardware seemed to have remained fundamentally unchanged

The flip side of this is that any information that can be reduced to a choice among two or more possibilities can be expressed using bits. Needless

Using a well-worn metaphor, culture can be viewed as the software that runs the hardware of human society.

Some people believe that Moore’s Law will continue to be accurate until about 2015.

Mindset is everything: the software operates the hardware.

The brain is just the physical machine that runs the program called the mind. The brain is the hardware, the mind is the software.

White supremacy is hardware. It’s machinery. Racism is software. It’s programmed.

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

Artificial Intelligence is the mind directing the body, as software guides hardware, while the Internet of Things lets the body inform the mind, with hardware feeding data to software.

Even though the software component of a technology is often not so easy to observe, we should not forget that technology almost always represents a mixture of hardware and software aspects. According to our definition, technology is a means of uncertainty reduction that is made possible by information about the cause-effect relationships on which the technology is based.

In 1948, while working for Bell Telephone Laboratories, he published a paper in the Bell System Technical Journal entitled "A Mathematical Theory of Communication" that not only introduced the word bit in print but established a field of study today known as information theory. Information theory is concerned with transmitting digital information in the presence of noise (which usually prevents all the information from getting through) and how to compensate for that. In 1949, he wrote the first article about programming a computer to play chess, and in 1952 he designed a mechanical mouse controlled by relays that could learn its way around a maze. Shannon was also well known at Bell Labs for riding a unicycle and juggling simultaneously.

In speaking of the human brain as an electro-colloidal biocomputer, we all know where the hardware is: it is inside the human skull. The software, however, seems to be anywhere and everywhere. For instance, the software “in” my brain also exists outside my brain in such forms as, say, a book I read twenty years ago, which was an English translation of various signals transmitted by Plato 2400 years ago. Other parts of my software are made up of the software of Confucius, James Joyce, my second-grade teacher, the Three Stooges, Beethoven, my mother and father, Richard Nixon, my various dogs and cats, Dr. Carl Sagan, and anybody and (to some extent) any-thing that has ever impacted upon my brain. This may sound strange, but that’s the way software (or information) functions.

He was not a model boss or human being, tidily packaged for emulation. Driven by demons, he could drive those around him to fury and despair. But his personality and passions and products were all interrelated, just as Apple’s hardware and software tended to be, as if part of an integrated system. His tale is thus both instructive and cautionary, filled with lessons about innovation, character, leadership, and values.

The real issues aren’t the quarks that hold together our physical bodies. The real issue is our own personal nonlinearity - the real us. We can’t see our real selves; we only see the containers we happen to be in right now. The real “us” is software, not hardware, which means it’s without mass, which means it has no time. We are eternal - saved or not. That’s the problem, because we each have an eternity ahead of us. Where will we spend it?

Among its visionaries was the scientist Alan Kay, who had two great maxims that Jobs embraced: “The best way to predict the future is to invent it” and “People who are serious about software should make their own hardware.

Universal education through schooling is not feasible. It would be no more feasible if it were attempted by means of alternative institutions built on the style of present schools. Neither new attitudes of teachers toward their pupils nor the proliferation of educational hardware or software (in classroom or bedroom), nor finally the attempt to expand the pedagogue's responsibility until it engulfs his pupils' lifetimes will deliver universal education. The current search for new educational funnels must be reversed into the search for their institutional inverse: educational webs which heighten the opportunity for each one to transform each moment of his living into one of learning, sharing, and caring. We hope to contribute concepts needed by those who conduct such counterfoil research on education--and also to those who seek alternatives to other established service industries.

Our mind is nothing but accumulated thoughts-good or evil recorded from the day the child is born. For memory or thought to work, a brain is needed. Software cannot work without a hardware. When a computer is damaged can we believe that its software is still somewhere in the sky? How can memory or thinking faculty exist outside brain? The neurotransmitters are responsible for the thought process and memory retention and retrival. All are elecrochemical impulses which cannot travel to sky. Our personality, individuality etc. are result of the accumulated thoughts in our brain. It is quality and nature of accumulated thoughts which decides if one is to become a scientist,poet or a terrorist. A guitar in the hands of a layman does not make any sense. If it is in the hands of a musician melodious tunes can come out. A child in the hands of lovable and intelligent parents go to heights.

A change in the law is infinitely more difficult to achieve than a change in a technological standard, and as long as legal innovation lags behind technological innovation institutions will seek to abuse that disparity in the furtherance of their interests. It falls to independent, open-source hardware and software developers to close that gap by providing the vital civil liberties protections that the law may be unable, or unwilling, to guarantee.

This situation is completely without precedent, and it is now evolving so quickly that we can barely keep track of where we are. And the more technology evolves, the more that new layers of hardware and software are added, the harder it is to change. This is handing tech capitalists a unique source of power. As the Silicon Valley guru Jaron Lanier puts it, they don’t have to persuade us when they can directly manipulate our experience of the world.

He even made an interesting concession. Throughout their careers they had adhered to competing philosophies on one of the most fundamental of all digital issues: whether hardware and software should be tightly integrated or more open. “I used to believe that the open, horizontal model would prevail,” Gates told him. “But you proved that the integrated, vertical model could also be great.” Jobs responded with his own admission. “Your model worked too,” he said.

-Vamos tentar, então. Afinal, não é assim que é uma relação? Conhecer alguém e querer estar com essa pessoa mais do que com qualquer outra, e tentar fazê-la funcionar. E eu... talvez não tenha o hardware, mas o software está aqui, e consigo programá-lo. Se calhar, não estás destinado a mim da mesma forma que estou destinada a ti, mas vou escolher-te de qualquer maneira, uma e outra vez. Não preciso de uma licença genética especial para ter a certeza de que és o meu…

The truth is that anxiety is at once a function of biology and philosophy, body and mind, instinct and reason, personality and culture. Even as anxiety is experienced at a spiritual and psychological level, it is scientifically measurable at the molecular level and the physiological level. It is produced by nature and it is produced by nurture. It’s a psychological phenomenon and a sociological phenomenon. In computer terms, it’s both a hardware problem (I’m wired badly) and a software problem (I run faulty logic programs that make me think anxious thoughts). The origins of a temperament are many faceted; emotional dispositions that may seem to have a simple, single source—a bad gene, say, or a childhood trauma—may not.

I read every book and magazine I could. Heck, three bucks for a magazine, twenty bucks for a book. One good idea would lead to a customer or a solution, and those magazines and books paid for themselves many times over. Some of the ideas I read were good, some not. In doing all the reading I learned a valuable lesson. Everything I read was public. Anyone could buy the same books and magazines. The same information was available to anyone who wanted it. Turns out most people didn't want it. I remember going into customer meetings or talks or go to people in the industry and tossing out tidbits about software or hardware. Features that worked, bugs in the software. All things I had read. I expected the ongoing response of: "Oh yeah, I read that too in such-and-such." That's not what happened. They hadn't read it then, and they still haven't starting reading it. Most people won't put in the time to get a knowledge advantage. Sure, there were folks that worked hard at picking up every bit of information that they could, but we were few and far between. To this day, I feel like if I put in enough time consuming all the information available, particularly with the internet making it so readily accessible, I can get an advantage in any technology business. Of course, my wife hates that I read more than three hours almost every day, but it gives me a level of comfort and confidence in my businesses.

But Sony couldn’t. It had pioneered portable music with the Walkman, it had a great record company, and it had a long history of making beautiful consumer devices. It had all of the assets to compete with Jobs’s strategy of integration of hardware, software, devices, and content sales. Why did it fail? Partly because it was a company, like AOL Time Warner, that was organized into divisions (that word itself was ominous) with their own bottom lines; the goal of achieving synergy in such companies by prodding the divisions to work together was usually elusive. Jobs did not organize Apple into semiautonomous divisions; he closely controlled all of his teams and pushed them to work as one cohesive and flexible company, with one profit-and-loss bottom line. “We don’t have ‘divisions’ with their own P&L,” said Tim Cook. “We run one P&L for the company.

To understand hardware and software (as applied to the human brain) perform the following meditation. Sit in a room where you will not be disturbed for a half hour and begin thinking, “I am sitting in this room doing this exercize because . . .“ and list as many of the “causes” as you can think of. For instance, you are doing this exercize because, obviously, you read about it in this book. Why did you buy this book? Did somebody recommend it? How did that person come into your life? If you just picked the book up in a store, why did you happen to be in just that store on just that day? Why do you read books of this sort — on psychology, consciousness, evolution etc.? How did you get interested in those fields? Who turned you on, and how long ago? What factors in your childhood inclined you to be interested in these subjects later? Why are you doing this exercize in this room and not elsewhere? Why did you buy or rent this house or apartment? Why are you in this city and not another? Why on this continent and not another? Why are you here at all — that is, how did your parents meet? Did they consciously decide to have a child, do you happen to know, or were you an accident? What cities were they born in? If in different cities, why did they move in space-time so that their paths would intersect? Why is this planet capable of supporting life, and why did it produce the kind of life that would dream up an exercize of this sort? Repeat this exercize a few days later, trying to ask and answer fifty questions you didn’t think of the first time. (Note that you cannot ever ask all possible questions.) Avoid all metaphysical speculations (e.g., karma, reincarnation, “destiny” etc.). The point of the exercize will be mind-blowing enough without introducing “occult” theories, and it will be more startling if you carefully avoid such overtly “mystical” speculations.

My thoughts are more in line with those of Jaron Lanier, who points out that while hardware might be getting faster all the time, software is shit (I am paraphrasing his argument). And without software to do something useful with all that hardware, the hardware’s nothing more than a really complicated space heater.

the modern relationship between software and hardware is essentially the same as that between music and the instrument or voice that brings it to life. A single computer can transform itself into the cockpit of a fighter jet, a budget projection, a chapter of a novel, or whatever else you want, just as a single piano can be used to play Bach or funky blues.

According to the Hebrew understanding of the human being, we are more than just a body. We are also a soul and spirit. The “spirit” of a person can be considered the breath of life, while the soul is the eternal part of us. If our body is our computer hardware, then the soul is our software, and the spirit is the electricity that gives the whole thing life.

Nevertheless, by dint of his personality and controlling instincts, Jobs was soon playing a stronger role. He spewed out a stream of ideas - some reasonable, others wacky - about what Pixar's hardware and software could become. And on his occasional visits to the PIxar offices, he was an inspiring presence. "I grew up a Southern Baptist, and we had revival meetings with mesmerizing but corrupt preachers," recounted Alvy Ray Smith. "Steve's got it: the power of the tongue and the web of words that catches people up. We were aware of this when we had board meetings, so we developed signals - nose scratching or ear tugs - for when someone had been caught up in Steve's distortion field and he needed to be tugged back to reality.

Still allergic to PowerPoints and formal presentations, he insisted that the people around the table hash out issues from various vantages and the perspectives of different departments. Because he believed that Apple's great advantage was its integration of the whole widget- from design to hardware to software to content-he wanted all departments at the company to work together in parallel. The phrases he used were "deep collaboration" and "concurrent engineering." Instead of a development process in which a product would be passed sequentially from engineering to design to manufacturing to marketing and distribution, these various departments collaborated simultaneously. " Our method was to develop integrated products, and that meant our process had to be integrated and collaborative," Jobs said. This approach also applied to key hires. He would have candidates meet the top leaders-Cook, Tevanian, Schiller, Rubinstein, Ive- rather than just the managers of the department where they wanted to work. " Then we all get together without the person and talk about whether they'll fit in," Jobs said.

Based on the above analyses, it is reasonable to expect the hardware that can emulate human-brain functionality to be available for approximately one thousand dollars by around 2020. As we will discuss in chapter 4, the software that will replicate that functionality will take about a decade longer. However, the exponential growth of the price-performance, capacity, and speed of our hardware technology will continue during that period, so by 2030 it will take a village of human brains (around one thousand) to match a thousand dollars’ worth of computing. By 2050, one thousand dollars of computing will exceed the processing power of all human brains on Earth. Of course, this figure includes those brains still using only biological neurons.

Pham Nuwen spent years learning to program/explore. Programming went back to the beginning of time. It was a little like the midden out back of his father’s castle. Where the creek had worn that away, ten meters down, there were the crumpled hulks of machines—flying machines, the peasants said—from the great days of Canberra’s original colonial era. But the castle midden was clean and fresh compared to what lay within the Reprise’s local net. There were programs here that had been written five thousand years ago, before Humankind ever left Earth. The wonder of it—the horror of it, Sura said—was that unlike the useless wrecks of Canberra’s past, these programs still worked! And via a million million circuitous threads of inheritance, many of the oldest programs still ran in the bowels of the Qeng Ho system. Take the Traders’ method of timekeeping. The frame corrections were incredibly complex—and down at the very bottom of it was a little program that ran a counter. Second by second, the Qeng Ho counted from the instant that a human had first set foot on Old Earth’s moon. But if you looked at it still more closely. . .the starting instant was actually some hundred million seconds later, the 0-second of one of Humankind’s first computer operating systems. So behind all the top-level interfaces was layer under layer of support. Some of that software had been designed for wildly different situations. Every so often, the inconsistencies caused fatal accidents. Despite the romance of spaceflight, the most common accidents were simply caused by ancient, misused programs finally getting their revenge. “We should rewrite it all,” said Pham. “It’s been done,” said Sura, not looking up. She was preparing to go off-Watch, and had spent the last four days trying to root a problem out of the coldsleep automation. “It’s been tried,” corrected Bret, just back from the freezers. “But even the top levels of fleet system code are enormous. You and a thousand of your friends would have to work for a century or so to reproduce it.” Trinli grinned evilly. “And guess what—even if you did, by the time you finished, you’d have your own set of inconsistencies. And you still wouldn’t be consistent with all the applications that might be needed now and then.” Sura gave up on her debugging for the moment. “The word for all this is ‘mature programming environment.’ Basically, when hardware performance has been pushed to its final limit, and programmers have had several centuries to code, you reach a point where there is far more signicant code than can be rationalized. The best you can do is understand the overall layering, and know how to search for the oddball tool that may come in handy—take the situation I have here.” She waved at the dependency chart she had been working on. “We are low on working fluid for the coffins. Like a million other things, there was none for sale on dear old Canberra. Well, the obvious thing is to move the coffins near the aft hull, and cool by direct radiation. We don’t have the proper equipment to support this—so lately, I’ve been doing my share of archeology. It seems that five hundred years ago, a similar thing happened after an in-system war at Torma. They hacked together a temperature maintenance package that is precisely what we need.” “Almost precisely.

Creating software can be done only the old-fashioned way. A human—sitting quietly in a chair with a pencil, paper, and laptop—is going to have to write the codes, line for line, that make these imaginary worlds come to life. One can mass-produce hardware and increase its power by piling on more and more chips, but you cannot mass-produce the brain. This means that the introduction of a truly augmented world will take decades, until midcentury.

Program maintenance involves no cleaning, lubrication, or repair of deterioration. It consists chiefly of changes that repair design defects. Much more often than with hardware, these changes include added functions. Usually they are visible to the user. The total cost of maintaining a widely used program is typically 40 percent or more of the cost of developing it. Surprisingly, this cost is strongly affected by the number of users. More users find more bugs.

For instance, the education system, instead of going by textbook teaching, will promote creative and interactive self-learning—both formal and informal—with a focus on values, merit and quality. Workers, instead of being skilled or semi-skilled, will be knowledgeable, self-empowered and flexibly skilled. Types of work, instead of being structured and hardware driven, will be more flexible and software driven. Management styles will be delegative rather than directive.

Jobs spent part of every day for six months helping to refine the display. “It was the most complex fun I’ve ever had,” he recalled. “It was like being the one evolving the variations on ‘Sgt. Pepper.’ ” A lot of features that seem simple now were the result of creative brainstorms. For example, the team worried about how to prevent the device from playing music or making a call accidentally when it was jangling in your pocket. Jobs was congenitally averse to having on-off switches, which he deemed “inelegant.” The solution was “Swipe to Open,” the simple and fun on-screen slider that activated the device when it had gone dormant. Another breakthrough was the sensor that figured out when you put the phone to your ear, so that your lobes didn’t accidentally activate some function. And of course the icons came in his favorite shape, the primitive he made Bill Atkinson design into the software of the first Macintosh: rounded rectangles. In session after session, with Jobs immersed in every detail, the team members figured out ways to simplify what other phones made complicated. They added a big bar to guide you in putting calls on hold or making conference calls, found easy ways to navigate through email, and created icons you could scroll through horizontally to get to different apps—all of which were easier because they could be used visually on the screen rather than by using a keyboard built into the hardware.

Think of humanity as a giant software program. Our bodies are the hardware and our ideas are the software. Sometimes our software gets a virus : Religious misinterpretations. People who are infected with flawed religious ideas can infect others, especially their children. The religions spread and mutate, until there are thousands of different religious ideas, most of them harmless, some healthy and helpful, but others quite deadly. When the deadly ones reach critical mass, they threaten the whole.

The Xerox Corporation’s Palo Alto Research Center, known as Xerox PARC, had been established in 1970 to create a spawning ground for digital ideas. It was safely located, for better and for worse, three thousand miles from the commercial pressures of Xerox corporate headquarters in Connecticut. Among its visionaries was the scientist Alan Kay, who had two great maxims that Jobs embraced: “The best way to predict the future is to invent it”and “People who are serious about software should make their own hardware.

The clarity offered by software as metaphor - and the empowerment allegedly offered to us who know software - should make us pause, because software also engenders a sense of profound ignorance. Software is extremely difficult to comprehend. Who really knows what lurks behind our smiling interfaces, behind the objects we click and manipulate? Who completely understands what one’s computer is actually doing at any given moment? Software as a metaphor for metaphor troubles the usual functioning of metaphor, that is, the clarification of an unknown concept through a known one. For, if software illuminates an unknown, it does so through an unknowable (software). This paradox - this drive to grasp what we do not know through what we do not entirely understand… does not undermine, but rather grounds software’s appeal. Its combination of what can be seen and not seen, can be known and no known - it’s separation of interface from algorithm, of software from hardware - makes it a powerful metaphor for everything we believe is invisible yet generates visible effects, from genetics to the invisible hand of the market, from ideology to culture. Every use entails an act of faith.

There is no such thing as a computational person, whose mind is like computer software, able to work on any suitable computer or neural hardware whose mind somehow derives meaning from taking meaningless symbols as input, manipulating them by rule, and giving meaningless symbols as output. Real people have embodied minds whose conceptual systems arise from, are shaped by, and are given meaning through living human bodies. The neural structures of our brains produce conceptual systems and linguistic structures that cannot be adequately accounted for by formal systems that only manipulate symbols.

One summer Paul took Steve to Wisconsin to visit the family’s dairy farm. Rural life did not appeal to Steve, but one image stuck with him. He saw a calf being born, and he was amazed when the tiny animal struggled up within minutes and began to walk. “It was not something she had learned, but it was instead hardwired into her,” he recalled. “A human baby couldn’t do that. I found it remarkable, even though no one else did.” He put it in hardware-software terms: “It was as if something in the animal’s body and in its brain had been engineered to work together instantly rather than being learned.

We want to allow millions of small businesses to accept credit cards for the first time, so we have to make it easy to sign up. We need easy sign-up, so we have to design simple software and eliminate paper contracts. We have millions of people signing up, so we have to keep our customer service costs down. We need to keep customer service costs down, so we have to have simple pricing, and net settlements, and no hidden fees, and no paper contracts. We need to have a low price, so we have to save money on advertising, so we have to have an amazing product, and hardware so cool that people talk about it, and a product that they can explain without our help.

To be a software developer was to run the rest stops off the exits and to make sure that all the fast-food and gas station franchises accorded with each other and with user expectations; to be a hardware specialist was to lay the infrastructure, to grade and pave the roads themselves; while to be a network specialist was to be responsible for traffic control, manipulating signs and lights to safely route the time-crunched hordes to their proper destinations. To get into systems, however, was to be an urban planner, to take all of the components available and ensure their interaction to maximum effect. It was, pure and simple, like getting paid to play God, or at least a tinpot dictator.

DEUTSCH: Yes, but you have to distinguish between hardware and software when you’re thinking about how this cognitive closure manifests itself. Like I said, it seems plausible that the hardware limitation is not relevant even for chimpanzees. I imagine that with nanosurgery, one could implant ideas into a chimpanzee’s brain that would make it able to create further knowledge just as humans can. I’m questioning the assumption that if everybody with an IQ of over a hundred died, then in the next generation nobody would have an IQ of over a hundred. I think they well might. It depends on culture. HARRIS: Of course. This wasn’t meant to be a plausible biological or cultural assumption. I’m just asking you to imagine a world in which we had seven billion human beings, none of whom could begin to understand what Alan Turing was up to. DEUTSCH: That nightmare scenario is different. It’s something that actually happened—for almost the whole of human existence. Humans had the ability to be creative and to do everything we’re doing. They just didn’t, because their culture was wrong. It wasn’t their fault. Cultural evolution has a nasty tendency to suppress the growth of what we would consider science or anything important that would improve their lives. So yes, that’s possible, and it’s possible that it could happen again. Nothing can prevent it except our working to prevent it.

The creative imitator looks at products or services from the viewpoint of the customer. IBM’s personal computer is practically indistinguishable from the Apple in its technical features, but IBM from the beginning offered the customer programs and software. Apple maintained traditional computer distribution through specialty stores. IBM—in a radical break with its own traditions—developed all kinds of distribution channels, specialty stores, major retailers like Sears, Roebuck, its own retail stores, and so on. It made it easy for the consumer to buy and it made it easy for the consumer to use the product. These, rather than hardware features, were the “innovations” that gave IBM the personal computer market.

There was no escape: The entire Elliott 503 Mark II software project had to be abandoned, and with it, over thirty man-years of programming effort, equivalent to nearly one man’s active working life, and I was responsible, both as designer and as manager, for wasting it. ... How did we recover from the catastrophe? First, we classified our 503 customers into groups, according to the nature and size of the hardware configurations which they had bought ... We assigned to each group of customers a small team of programmers and told the team leader to visit the customers to find out what they wanted; to select the easiest request to fulfill, and to make plans (but no promises) to implement it. In no case would we consider a request for a feature that would take more than three months to implement and deliver. The project leader would then have to convince me that the customers’ request was reasonable, that the design of the new feature was appropriate, and that the plans and schedules for implementation were realistic. Above all, I did not allow anything to be done which I did not myself understand. It worked! The software requested began to be delivered on the promised dates. With an increase in our confidence and that of our customers, we were able to undertake fulfilling slightly more ambitious requests. Within a year we had recovered from the disaster. Within two years, we even had some moderately satisfied customers.

In early 2016, Amazon was given a license by the Federal Maritime Commission to implement ocean freight services as an Ocean Transportation Intermediary. So, Amazon can now ship others’ goods. This new service, dubbed Fulfillment by Amazon (FBA), won’t do much directly for individual consumers. But it will allow Amazon’s Chinese partners to more easily and cost-effectively get their products across the Pacific in containers. Want to bet how long it will take Amazon to dominate the oceanic transport business? 67 The market to ship stuff (mostly) across the Pacific is a $ 350 billion business, but a low-margin one. Shippers charge $ 1,300 to ship a forty-foot container holding up to 10,000 units of product (13 cents per unit, or just under $ 10 to deliver a flatscreen TV). It’s a down-and-dirty business, unless you’re Amazon. The biggest component of that cost comes from labor: unloading and loading the ships and the paperwork. Amazon can deploy hardware (robotics) and software to reduce these costs. Combined with the company’s fledgling aircraft fleet, this could prove another huge business for Amazon. 68 Between drones, 757/ 767s, tractor trailers, trans-Pacific shipping, and retired military generals (no joke) who oversaw the world’s most complex logistics operations (try supplying submarines and aircraft carriers that don’t surface or dock more than once every six months), Amazon is building the most robust logistics infrastructure in history. If you’re like me, this can only leave you in awe: I can’t even make sure I have Gatorade in the fridge when I need it.

Even in the 1950s, computers were described in the popular press as “super-brains” that were “faster than Einstein.” So can we say now, finally, that computers are as powerful as the human brain? No. Focusing on raw computing power misses the point entirely. Speed alone won’t give us AI. Running a poorly designed algorithm on a faster computer doesn’t make the algorithm better; it just means you get the wrong answer more quickly. (And with more data there are more opportunities for wrong answers!) The principal effect of faster machines has been to make the time for experimentation shorter, so that research can progress more quickly. It’s not hardware that is holding AI back; it’s software. We don’t yet know how to make a machine really intelligent—even if it were the size of the universe.

Jobs’s reluctance to make the Mac compatible with the architecture of the Lisa was motivated by more than rivalry or revenge. There was a philosophical component, one that was related to his penchant for control. He believed that for a computer to be truly great, its hardware and its software had to be tightly linked. When a computer was open to running software that also worked on other computers, it would end up sacrificing some functionality. The best products, he believed, were “whole widgets” that were designed end-to-end, with the software closely tailored to the hardware and vice versa. This is what would distinguish the Macintosh, which had an operating system that worked only on its own hardware, from the environment that Microsoft was creating, in which its operating system could be used on hardware made by many different companies.

Microsoft’s success represented an aesthetic flaw in the way the universe worked. “The only problem with Microsoft is they just have no taste, they have absolutely no taste,” he later said. “I don’t mean that in a small way. I mean that in a big way, in the sense that they don’t think of original ideas and they don’t bring much culture into their product.”116 The primary reason for Microsoft’s success was that it was willing and eager to license its operating system to any hardware maker. Apple, by contrast, opted for an integrated approach. Its hardware came only with its software and vice versa. Jobs was an artist, a perfectionist, and thus a control freak who wanted to be in charge of the user experience from beginning to end. Apple’s approach led to more beautiful products, a higher profit margin, and a more sublime user experience. Microsoft’s approach led to a wider choice of hardware.

So which theory did Lagos believe in? The relativist or the universalist?" "He did not seem to think there was much of a difference. In the end, they are both somewhat mystical. Lagos believed that both schools of thought had essentially arrived at the same place by different lines of reasoning." "But it seems to me there is a key difference," Hiro says. "The universalists think that we are determined by the prepatterned structure of our brains -- the pathways in the cortex. The relativists don't believe that we have any limits." "Lagos modified the strict Chomskyan theory by supposing that learning a language is like blowing code into PROMs -- an analogy that I cannot interpret." "The analogy is clear. PROMs are Programmable Read-Only Memory chips," Hiro says. "When they come from the factory, they have no content. Once and only once, you can place information into those chips and then freeze it -- the information, the software, becomes frozen into the chip -- it transmutes into hardware. After you have blown the code into the PROMs, you can read it out, but you can't write to them anymore. So Lagos was trying to say that the newborn human brain has no structure -- as the relativists would have it -- and that as the child learns a language, the developing brain structures itself accordingly, the language gets 'blown into the hardware and becomes a permanent part of the brain's deep structure -- as the universalists would have it." "Yes. This was his interpretation." "Okay. So when he talked about Enki being a real person with magical powers, what he meant was that Enki somehow understood the connection between language and the brain, knew how to manipulate it. The same way that a hacker, knowing the secrets of a computer system, can write code to control it -- digital namshubs?" "Lagos said that Enki had the ability to ascend into the universe of language and see it before his eyes. Much as humans go into the Metaverse. That gave him power to create nam-shubs. And nam-shubs had the power to alter the functioning of the brain and of the body." "Why isn't anyone doing this kind of thing nowadays? Why aren't there any namshubs in English?" "Not all languages are the same, as Steiner points out. Some languages are better at metaphor than others. Hebrew, Aramaic, Greek, and Chinese lend themselves to word play and have achieved a lasting grip on reality: Palestine had Qiryat Sefer, the 'City of the Letter,' and Syria had Byblos, the 'Town of the Book.' By contrast other civilizations seem 'speechless' or at least, as may have been the case in Egypt, not entirely cognizant of the creative and transformational powers of language. Lagos believed that Sumerian was an extraordinarily powerful language -- at least it was in Sumer five thousand years ago." "A language that lent itself to Enki's neurolinguistic hacking." "Early linguists, as well as the Kabbalists, believed in a fictional language called the tongue of Eden, the language of Adam. It enabled all men to understand each other, to communicate without misunderstanding. It was the language of the Logos, the moment when God created the world by speaking a word. In the tongue of Eden, naming a thing was the same as creating it. To quote Steiner again, 'Our speech interposes itself between apprehension and truth like a dusty pane or warped mirror. The tongue of Eden was like a flawless glass; a light of total understanding streamed through it. Thus Babel was a second Fall.' And Isaac the Blind, an early Kabbalist, said that, to quote Gershom Scholem's translation, 'The speech of men is connected with divine speech and all language whether heavenly or human derives from one source: the Divine Name.' The practical Kabbalists, the sorcerers, bore the title Ba'al Shem, meaning 'master of the divine name.'" "The machine language of the world," Hiro says.

The Xerox Corporation’s Palo Alto Research Center, known as Xerox PARC, had been established in 1970 to create a spawning ground for digital ideas. It was safely located, for better and for worse, three thousand miles from the commercial pressures of Xerox corporate headquarters in Connecticut. Among its visionaries was the scientist Alan Kay, who had two great maxims that Jobs embraced: “The best way to predict the future is to invent it” and “People who are serious about software should make their own hardware.” Kay pushed the vision of a small personal computer, dubbed the “Dynabook,” that would be easy enough for children to use. So Xerox PARC’s engineers began to develop user-friendly graphics that could replace all of the command lines and DOS prompts that made computer screens intimidating. The metaphor they came up with was that of a desktop. The screen could have many documents and folders on it, and you could use a mouse to point and click on the one you wanted to use.

A great deal of effort has been devoted to explaining Babel. Not the Babel event -- which most people consider to be a myth -- but the fact that languages tend to diverge. A number of linguistic theories have been developed in an effort to tie all languages together." "Theories Lagos tried to apply to his virus hypothesis." "Yes. There are two schools: relativists and universalists. As George Steiner summarizes it, relativists tend to believe that language is not the vehicle of thought but its determining medium. It is the framework of cognition. Our perceptions of everything are organized by the flux of sensations passing over that framework. Hence, the study of the evolution of language is the study of the evolution of the human mind itself." "Okay, I can see the significance of that. What about the universalists?" "In contrast with the relativists, who believe that languages need not have anything in common with each other, the universalists believe that if you can analyze languages enough, you can find that all of them have certain traits in common. So they analyze languages, looking for such traits." "Have they found any?" "No. There seems to be an exception to every rule." "Which blows universalism out of the water." "Not necessarily. They explain this problem by saying that the shared traits are too deeply buried to be analyzable." "Which is a cop out." "Their point is that at some level, language has to happen inside the human brain. Since all human brains are more or less the same --" "The hardware's the same. Not the software." "You are using some kind of metaphor that I cannot understand." "Well, a French-speaker's brain starts out the same as an English-speaker's brain. As they grow up, they get programmed with different software -- they learn different languages." "Yes. Therefore, according to the universalists, French and English -- or any other languages -- must share certain traits that have their roots in the 'deep structures' of the human brain. According to Chomskyan theory, the deep structures are innate components of the brain that enable it to carry out certain formal kinds of operations on strings of symbols. Or, as Steiner paraphrases Emmon Bach: These deep structures eventually lead to the actual patterning of the cortex with its immensely ramified yet, at the same time, 'programmed' network of electrochemical and neurophysiological channels." "But these deep structures are so deep we can't even see them?" "The universalists place the active nodes of linguistic life -- the deep structures -- so deep as to defy observation and description. Or to use Steiner's analogy: Try to draw up the creature from the depths of the sea, and it will disintegrate or change form grotesquely.

me to be honest about his failings as well as his strengths. She is one of the smartest and most grounded people I have ever met. “There are parts of his life and personality that are extremely messy, and that’s the truth,” she told me early on. “You shouldn’t whitewash it. He’s good at spin, but he also has a remarkable story, and I’d like to see that it’s all told truthfully.” I leave it to the reader to assess whether I have succeeded in this mission. I’m sure there are players in this drama who will remember some of the events differently or think that I sometimes got trapped in Jobs’s distortion field. As happened when I wrote a book about Henry Kissinger, which in some ways was good preparation for this project, I found that people had such strong positive and negative emotions about Jobs that the Rashomon effect was often evident. But I’ve done the best I can to balance conflicting accounts fairly and be transparent about the sources I used. This is a book about the roller-coaster life and searingly intense personality of a creative entrepreneur whose passion for perfection and ferocious drive revolutionized six industries: personal computers, animated movies, music, phones, tablet computing, and digital publishing. You might even add a seventh, retail stores, which Jobs did not quite revolutionize but did reimagine. In addition, he opened the way for a new market for digital content based on apps rather than just websites. Along the way he produced not only transforming products but also, on his second try, a lasting company, endowed with his DNA, that is filled with creative designers and daredevil engineers who could carry forward his vision. In August 2011, right before he stepped down as CEO, the enterprise he started in his parents’ garage became the world’s most valuable company. This is also, I hope, a book about innovation. At a time when the United States is seeking ways to sustain its innovative edge, and when societies around the world are trying to build creative digital-age economies, Jobs stands as the ultimate icon of inventiveness, imagination, and sustained innovation. He knew that the best way to create value in the twenty-first century was to connect creativity with technology, so he built a company where leaps of the imagination were combined with remarkable feats of engineering. He and his colleagues at Apple were able to think differently: They developed not merely modest product advances based on focus groups, but whole new devices and services that consumers did not yet know they needed. He was not a model boss or human being, tidily packaged for emulation. Driven by demons, he could drive those around him to fury and despair. But his personality and passions and products were all interrelated, just as Apple’s hardware and software tended to be, as if part of an integrated system. His tale is thus both instructive and cautionary, filled with lessons about innovation, character, leadership, and values.

HARRIS: But if substrate independence is the case, and you could have the appropriately organized system made of other material, or even simulated—it can just be on the hard drive of some supercomputer—then you could imagine, even if you needed some life course of experience in order to tune up all the relevant variables, there could be some version of doing just that, across millions of simulated experiments and simulated worlds, and you would wind up with conscious minds in those contexts. Are you skeptical of that possibility? SETH: Yes, I’m skeptical of that, because I think there’s a lot of clear air between saying the physical state of a system is what matters, and that simulation is sufficient. First, it’s not clear to me what “substrate independence” really means. It seems to turn on an overzealous application of the hardware/software distinction—that the mind and consciousness is just a matter of getting the functional relations right and it doesn’t matter what hardware or wetware you run it on. But it’s unclear whether I can really partition how a biological system like the brain works according to these categories. Where does the wetware stop and the mindware start, given that the dynamics of the brain are continually reshaping the structure and the structure is continually reshaping the dynamics? It becomes a bit difficult to define what the substrate really is. Of course, if you’re willing to say, “Well, we’re not just capturing input-output relations, we’re going to make an exact physical duplicate,” then that’s fine. That’s just a statement about materialism. But I don’t find it intuitive to go from making an exact physical replicate, all the way up to simulations, and therefore simulations of lots of possible life histories, and so on. It’s really not clear to me that simulation will ever be sufficient to instantiate phenomenal properties.

The collapse, for example, of IBM’s legendary 80-year-old hardware business in the 1990s sounds like a classic P-type story. New technology (personal computers) displaces old (mainframes) and wipes out incumbent (IBM). But it wasn’t. IBM, unlike all its mainframe competitors, mastered the new technology. Within three years of launching its first PC, in 1981, IBM achieved $5 billion in sales and the #1 position, with everyone else either far behind or out of the business entirely (Apple, Tandy, Commodore, DEC, Honeywell, Sperry, etc.). For decades, IBM dominated computers like Pan Am dominated international travel. Its $13 billion in sales in 1981 was more than its next seven competitors combined (the computer industry was referred to as “IBM and the Seven Dwarfs”). IBM jumped on the new PC like Trippe jumped on the new jet engines. IBM owned the computer world, so it outsourced two of the PC components, software and microprocessors, to two tiny companies: Microsoft and Intel. Microsoft had all of 32 employees. Intel desperately needed a cash infusion to survive. IBM soon discovered, however, that individual buyers care more about exchanging files with friends than the brand of their box. And to exchange files easily, what matters is the software and the microprocessor inside that box, not the logo of the company that assembled the box. IBM missed an S-type shift—a change in what customers care about. PC clones using Intel chips and Microsoft software drained IBM’s market share. In 1993, IBM lost $8.1 billion, its largest-ever loss. That year it let go over 100,000 employees, the largest layoff in corporate history. Ten years later, IBM sold what was left of its PC business to Lenovo. Today, the combined market value of Microsoft and Intel, the two tiny vendors IBM hired, is close to $1.5 trillion, more than ten times the value of IBM. IBM correctly anticipated a P-type loonshot and won the battle. But it missed a critical S-type loonshot, a software standard, and lost the war.

Although thrilled that the era of the personal computer had arrived, he was afraid that he was going to miss the party. Slapping down seventy-five cents, he grabbed the issue and trotted through the slushy snow to the Harvard dorm room of Bill Gates, his high school buddy and fellow computer fanatic from Seattle, who had convinced him to drop out of college and move to Cambridge. “Hey, this thing is happening without us,” Allen declared. Gates began to rock back and forth, as he often did during moments of intensity. When he finished the article, he realized that Allen was right. For the next eight weeks, the two of them embarked on a frenzy of code writing that would change the nature of the computer business.1 Unlike the computer pioneers before him, Gates, who was born in 1955, had not grown up caring much about the hardware. He had never gotten his thrills by building Heathkit radios or soldering circuit boards. A high school physics teacher, annoyed by the arrogance Gates sometimes displayed while jockeying at the school’s timesharing terminal, had once assigned him the project of assembling a Radio Shack electronics kit. When Gates finally turned it in, the teacher recalled, “solder was dripping all over the back” and it didn’t work.2 For Gates, the magic of computers was not in their hardware circuits but in their software code. “We’re not hardware gurus, Paul,” he repeatedly pronounced whenever Allen proposed building a machine. “What we know is software.” Even his slightly older friend Allen, who had built shortwave radios, knew that the future belonged to the coders. “Hardware,” he admitted, “was not our area of expertise.”3 What Gates and Allen set out to do on that December day in 1974 when they first saw the Popular Electronics cover was to create the software for personal computers. More than that, they wanted to shift the balance in the emerging industry so that the hardware would become an interchangeable commodity, while those who created the operating system and application software would capture most of the profits.

SCULLEY. Pepsi executive recruited by Jobs in 1983 to be Apple’s CEO, clashed with and ousted Jobs in 1985. JOANNE SCHIEBLE JANDALI SIMPSON. Wisconsin-born biological mother of Steve Jobs, whom she put up for adoption, and Mona Simpson, whom she raised. MONA SIMPSON. Biological full sister of Jobs; they discovered their relationship in 1986 and became close. She wrote novels loosely based on her mother Joanne (Anywhere but Here), Jobs and his daughter Lisa (A Regular Guy), and her father Abdulfattah Jandali (The Lost Father). ALVY RAY SMITH. A cofounder of Pixar who clashed with Jobs. BURRELL SMITH. Brilliant, troubled hardware designer on the original Mac team, afflicted with schizophrenia in the 1990s. AVADIS “AVIE” TEVANIAN. Worked with Jobs and Rubinstein at NeXT, became chief software engineer at Apple in 1997. JAMES VINCENT. A music-loving Brit, the younger partner with Lee Clow and Duncan Milner at the ad agency Apple hired. RON WAYNE. Met Jobs at Atari, became first partner with Jobs and Wozniak at fledgling Apple, but unwisely decided to forgo his equity stake. STEPHEN WOZNIAK. The star electronics geek at Homestead High; Jobs figured out how to package and market his amazing circuit boards and became his partner in founding Apple. DEL YOCAM. Early Apple employee who became the General Manager of the Apple II Group and later Apple’s Chief Operating Officer. INTRODUCTION How This Book Came to Be In the early summer of 2004, I got a phone call from Steve Jobs. He had been scattershot friendly to me over the years, with occasional bursts of intensity, especially when he was launching a new product that he wanted on the cover of Time or featured on CNN, places where I’d worked. But now that I was no longer at either of those places, I hadn’t heard from him much. We talked a bit about the Aspen Institute, which I had recently joined, and I invited him to speak at our summer campus in Colorado. He’d be happy to come, he said, but not to be onstage. He wanted instead to take a walk so that we could talk. That seemed a bit odd. I didn’t yet

In quel preciso momento, Karla è entrata nella stanza. Ha spento la televisione, ha guardato Todd fisso negli occhi e ha detto: "Todd, tu esisti non soltanto come membro di una famiglia o di una compagnia o di una nazione, ma come membro di una specie... sei un essere umano. Sei parte dell'umanità. Attualmente la nostra specie ha problemi profondi e stiamo cercando di sognare un modo per uscirne e stiamo usando i computer per cavarcela. La costruzione di hardware e software è il campo in cui la specie ha deciso di investire energie per la sua sopravvivenza e questa costruzione richiede zone di pace, bambini nati dalla pace, e l'assenza di distrazioni che interferiscano col codice. Non possiamo acquisire conoscenza attraverso l'informatica, ma riusciremo a usarla per tenerci fuori dalla merda. Quello che tu percepisci come un vuoto è un paradiso terrestre: alla lettera, linea per linea, la libertà di impedire all'umanità di diventare non lineare". Si è seduta sul divano e c'era il rumore della pioggia che tamburellava sul soffitto e mi sono reso conto del fatto che non c'era abbastanza luce nella stanza e che noi eravamo tutti in silenzio. Karla ha detto: "Abbiamo avuto una vita discreta. Nessuno di noi, a quanto mi risulta, è mai stato maltrattato. Non abbiamo mai desiderato niente, né abbiamo mai voluto possedere qualcosa. I nostri genitori sono tutti ancora insieme, a parte quelli di Susan. Ci hanno trattato bene, ma la vera moralità, qui. Todd consiste nel sapere se le loro mani sono state sprecate in vite non creative, o se queste mani sono utilizzate per portare avanti il sogno dell'umanità". Continuava a piovere. "Non è una coincidenza che come specie abbiamo inventato la classe media. Senza la classe media, non avremmo potuto avere quel particolare tipo di configurazione mentale che contribuisce in misura consistente a sputar fuori i sistemi informatici e la nostra specie non avrebbe mai potuto farcela ad arrivare allo stadio evolutivo successivo, qualunque esso sia. Ci sono buone probabilità che la classe media non rientri neanche parzialmente nella prossima fase evolutiva. Ma non è né qui né là. Che ti piaccia o no, Todd, tu, io, Dan, Abe, Bug, e Susan... tutti noi siamo fabbricanti del prossimo ciclo Rem del sogno umano. Tutti gli altri ne saranno attratti. Non metterli in discussione, Todd, e non crogiolartici dentro, ma non permettere mai a te stesso di dimenticarlo".

Similarly, the computers used to run the software on the ground for the mission were borrowed from a previous mission. These machines were so out of date that Bowman had to shop on eBay to find replacement parts to get the machines working. As systems have gone obsolete, JPL no longer uses the software, but Bowman told me that the people on her team continue to use software built by JPL in the 1990s, because they are familiar with it. She said, “Instead of upgrading to the next thing we decided that it was working just fine for us and we would stay on the platform.” They have developed so much over such a long period of time with the old software that they don’t want to switch to a newer system. They must adapt to using these outdated systems for the latest scientific work. Working within these constraints may seem limiting. However, building tools with specific constraints—from outdated technologies and low bitrate radio antennas—can enlighten us. For example, as scientists started to explore what they could learn from the wait times while communicating with deep space probes, they discovered that the time lag was extraordinarily useful information. Wait times, they realized, constitute an essential component for locating a probe in space, calculating its trajectory, and accurately locating a target like Pluto in space. There is no GPS for spacecraft (they aren’t on the globe, after all), so scientists had to find a way to locate the spacecraft in the vast expanse. Before 1960, the location of planets and objects in deep space was established through astronomical observation, placing an object like Pluto against a background of stars to determine its position.15 In 1961, an experiment at the Goldstone Deep Space Communications Complex in California used radar to more accurately define an “astronomical unit” and help measure distances in space much more accurately.16 NASA used this new data as part of creating the trajectories for missions in the following years. Using the data from radio signals across a wide range of missions over the decades, the Deep Space Network maintained an ongoing database that helped further refine the definition of an astronomical unit—a kind of longitudinal study of space distances that now allows missions like New Horizons to create accurate flight trajectories. The Deep Space Network continued to find inventive ways of using the time lag of radio waves to locate objects in space, ultimately finding that certain ways of waiting for a downlink signal from the spacecraft were less accurate than others. It turned to using the antennas from multiple locations, such as Goldstone in California and the antennas in Canberra, Australia, or Madrid, Spain, to time how long the signal took to hit these different locations on Earth. The time it takes to receive these signals from the spacecraft works as a way to locate the probes as they are journeying to their destination. Latency—or the different time lag of receiving radio signals on different locations of Earth—is the key way that deep space objects are located as they journey through space. This discovery was made possible during the wait times for communicating with these craft alongside the decades of data gathered from each space mission. Without the constraint of waiting, the notion of using time as a locating feature wouldn’t have been possible.

every successful hardware has a software behind

a digital design engineer, you would spend long hours going through the TTL Data Book familiarizing yourself with the types of TTL chips that were available. Once you knew all your tools, you could actually build the computer I showed in Chapter 17 out of TTL chips. Wiring the chips together is a lot easier than wiring individual transistors

The Android sensor framework lets you access many types of sensors. Some of these sensors are hardware-based and some are software-based. Hardware-based sensors are physical components built into a handset or tablet device. They derive their data by directly measuring specific environmental properties, such as acceleration, geomagnetic field strength, or angular change. Software-based sensors are not physical devices, although they mimic hardware-based sensors. Software-based sensors derive their data from one or more of the hardware-based sensors and are sometimes called virtual sensors or synthetic sensors. The linear acceleration sensor and the gravity sensor are examples of software-based

software-based. Hardware-based sensors are physical components built into a handset or tablet device. They derive their data by directly measuring specific environmental properties, such as acceleration, geomagnetic field strength, or angular change. Software-based sensors are not physical devices, although they mimic hardware-based sensors. Software-based sensors derive their data

Progress is the same rocket that launches the manned Soyuz. Our three new crewmates, due up in a little less than a month on May 26, are about to trust their lives to the same hardware and software. The Russian space agency must investigate what went wrong and make sure there won’t be a recurrence. That will interfere with our schedule up here, but no one wants to fly on a Soyuz that’s going to do the same thing this Progress did. It would make for a horrible death, spinning out of control in low Earth orbit knowing you will soon be dead from CO2 asphyxiation or oxygen deprivation, after which our corpses would orbit the Earth until they burn up in the atmosphere months later.

Prometheus’ software was now highly optimized to make the most of the rather mediocre human-invented hardware it ran on, and as the Omegas had anticipated, Prometheus identified ways of dramatically improving this hardware. Fearing a breakout, they refused to build robotic construction facilities that Prometheus could control directly. Instead, they hired large numbers of world-class scientists and engineers in multiple locations and fed them internal research reports written by Prometheus, pretending that they were from researchers at the other sites.