Software For Generating Quotes

Imagine a world in which generations of human beings come to believe that certain films were made by God or that specific software was coded by him. Imagine a future in which millions of our descendants murder each other over rival interpretations of Star Wars or Windows 98. Could anything -- anything -- be more ridiculous? And yet, this would be no more ridiculous than the world we are living in.

Religion knew the truth of metaphor and symbol for almost all of history until the past few hundred years, and especially until the wrongly named Enlightenment in the 17th and 18th centuries. Then we started confusing rational and provable with real. We actually regressed and went backward. In trying to defend its ground in the face of rationalism and scientism, religion tried to become "rational" itself and lost its alternative consciousness, which many of us call contemplation. It's as though we tried to deal with Mystery with the entirely wrong "software". We lost access to the higher levels of consciousness, the transrational, the transpersonal, the transcendent itself. Most tragic, we lost most inner experience of our own outer belief systems. That is the heart of religion's problem today, and it is indeed a deep and serious problem for upcoming generations. My generation took the symbols to literally, and now the following generation is just throwing them all out as useless. We are both losing. It might surprise you, but both religious fundamentalism and atheism are similar in that they are self-contained rational systems. Such a system works if you stay inside its chosen logic and territory.

Westrum’s description of a rule-oriented culture is perhaps best thought of as one where following the rules is considered more important than achieving the mission—and we have worked with teams in the US Federal Government we would have no issue describing as generative, as well as startups that are clearly pathological.

Businesses frequently prioritize new feature releases over fixing technical debt. They choose to work on revenue-generating work instead of revenue-protection work. This rarely works out as the business hopes, particularly as problems discovered during the final stages of uncompleted projects drag engineers away from the newer projects.

The man persisted. "No, no, no. It was so funny. What software did you use?" - apparently in the belief that the software had built-in humor generation.

No matter how good a jockey, he can’t turn a plow horse into a thoroughbred. It was the same with chips and software. Indeed, an operating system depended on a reliable chip.

Jeff Hammerbacher, a software coder and one of Facebook’s early hires, succinctly said, “The best minds of my generation are thinking about how to make people click ads. That sucks.

The digital keys in a user’s wallet are completely independent of the bitcoin protocol and can be generated and managed by the user’s wallet software without reference to the blockchain or access to the Internet.

If you collect hundreds of formal requirements and just start building software for all of them, you’ve generated a whole lot of work for skilled and dedicated project managers, but you haven’t made any real choices.

I etch a pattern of geometric shapes onto a stone. To the uninitiated, the shapes look mysterious and complex, but I know that when arranged correctly they will give the stone a special power, enabling it to respond to incantations in a language no human being has ever spoken. ...Yet my work involves no witchcraft. The stone is a wafer of silicon, and the incantations are software. The patterns etched on the chip and the programs that instruct the computer may look complicated and mysterious, but they are generated according to a few basic principles that are easily explained.

Writing software is not a variable cost, but it's not really a fixed cost either. Writing software is an ongoing, revenue-generating operation of the company, and it is not the same as constructing a factory. The expensive craftsmen who build the factory leave and go to work on some other job after the building is erected.

A generation ago, fun wasn’t a deciding factor when we talked about career choices. Jobs aren’t supposed to be fun. They’re supposed to bring home the bacon. Fun is what you do on your off days. Fun happens in the evenings and weekends. But if your job isn’t fun, as we’ve come to realize, you don’t do a fantastic job at it.

Imagine a world in which generations of human beings come to believe that certain films were made by God or that specific software was coded by him. Imagine a future in which millions of our descendants murder each other over rival interpretations of Star Wars or Windows 98. Could anything—anything—be more ridiculous? And yet, this would be no more ridiculous than the world we are living in.

Most Web activities do not generate jobs and revenue at the rate of past technological breakthroughs. When Ford and General Motors were growing in the early part of the twentieth century, they created millions of jobs and helped build Detroit into a top-tier U.S. city. Today, Facebook creates a lot of voyeuristic pleasure, but the company doesn’t employ many people and hasn’t done much for Palo Alto; a lot of the “work” is performed more or less automatically by the software and the servers. You could say that the real work is done by its users, in their spare time and as a form of leisure. Web 2.0 is not filling government coffers or supporting many families, even though it’s been great for users, programmers, and some information technology specialists. Everyone on the Web has heard of Twitter, but as of Fall 2010, only about three hundred people work there.

Both the Roadster and the Model S also take advantage of what’s known as regenerative braking, which extends the life of the brakes. During stop-and-go situations, the Tesla will brake by kicking the motor into reverse via software and slowing down the wheels instead of using brake pads and friction to clamp them down. The Tesla motor generates electricity during this process and funnels it back to the batteries, which is why electric cars get better mileage in city traffic.

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.

Security is a big and serious deal, but it’s also largely a solved problem. That’s why the average person is quite willing to do their banking online and why nobody is afraid of entering their credit card number on Amazon. At 37signals, we’ve devised a simple security checklist all employees must follow: 1. All computers must use hard drive encryption, like the built-in FileVault feature in Apple’s OS X operating system. This ensures that a lost laptop is merely an inconvenience and an insurance claim, not a company-wide emergency and a scramble to change passwords and worry about what documents might be leaked. 2. Disable automatic login, require a password when waking from sleep, and set the computer to automatically lock after ten inactive minutes. 3. Turn on encryption for all sites you visit, especially critical services like Gmail. These days all sites use something called HTTPS or SSL. Look for the little lock icon in front of the Internet address. (We forced all 37signals products onto SSL a few years back to help with this.) 4. Make sure all smartphones and tablets use lock codes and can be wiped remotely. On the iPhone, you can do this through the “Find iPhone” application. This rule is easily forgotten as we tend to think of these tools as something for the home, but inevitably you’ll check your work email or log into Basecamp using your tablet. A smartphone or tablet needs to be treated with as much respect as your laptop. 5. Use a unique, generated, long-form password for each site you visit, kept by password-managing software, such as 1Password.§ We’re sorry to say, “secretmonkey” is not going to fool anyone. And even if you manage to remember UM6vDjwidQE9C28Z, it’s no good if it’s used on every site and one of them is hacked. (It happens all the time!) 6. Turn on two-factor authentication when using Gmail, so you can’t log in without having access to your cell phone for a login code (this means that someone who gets hold of your login and password also needs to get hold of your phone to login). And keep in mind: if your email security fails, all other online services will fail too, since an intruder can use the “password reset” from any other site to have a new password sent to the email account they now have access to. Creating security protocols and algorithms is the computer equivalent of rocket science, but taking advantage of them isn’t. Take the time to learn the basics and they’ll cease being scary voodoo that you can’t trust. These days, security for your devices is just simple good sense, like putting on your seat belt.

As black-box technologies become more widespread, there have been no shortage of demands for increased transparency. In 2016 the European Union's General Data Protection Regulation included in its stipulations the "right to an explanation," declaring that citizens have a right to know the reason behind the automated decisions that involve them. While no similar measure exists in the United States, the tech industry has become more amenable to paying lip service to "transparency" and "explainability," if only to build consumer trust. Some companies claim they have developed methods that work in reverse to suss out data points that may have triggered the machine's decisions—though these explanations are at best intelligent guesses. (Sam Ritchie, a former software engineer at Stripe, prefers the term "narratives," since the explanations are not a step-by-step breakdown of the algorithm's decision-making process but a hypothesis about reasoning tactics it may have used.) In some cases the explanations come from an entirely different system trained to generate responses that are meant to account convincingly, in semantic terms, for decisions the original machine made, when in truth the two systems are entirely autonomous and unrelated. These misleading explanations end up merely contributing another layer of opacity. "The problem is now exacerbated," writes the critic Kathrin Passig, "because even the existence of a lack of explanation is concealed.

Entrepreneurship itself is an emergent system, where companies create the conditions for experimentation and learning to occur, often symbiotically with customers. In 1978, Eric von Hippel (my PhD advisor at MIT) pioneered the notion of user-driven innovation.10, 11 Back then, the conventional wisdom was that innovation only came from corporate, government, and university research-and-development labs. While some still believe this today, Eric's insight proved to be prescient in many areas, especially in the information age, as the widespread adoption of open-source software and Lean Startup methodologies have demonstrated.12 Twitter is a tangible example since three of the platform's most popular features—the @ reply, the # hashtag indexing, and retweet sharing—were all generated bottom-up by users.

Similarly, when you see a character jumping from a 100 story building and landing without hurting a bone, then believe that this is an example of special effects.   Special effects are provided by a few companies that use specialized software to add these effects. Many of these companies are located in India, in Bangalore and Mumbai. Movies like Avatar, Jurassic Park, and many others were sent to India for providing special effects.   Similarly, in Thor, when the main character rotates his hammer and generates a tornado, be rest assured that this is only an example of special effects. In reality, nothing like this happens.   And if you are able to do it, you are a superhuman, like Superman. You have got super-powers to do whatever you want and you can generate such a tornado by rotating your hand, even without a hammer.   So, my sincere advice to you is not to even attempt this. You will end up with a torn muscle, or a fractured hand, or maybe you may even suffer a heart malfunction and eventual death.   Let me not get into the science behind how this happens, but if you are educated enough, you will heed my advice and not attempt this anytime in your life.

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

There are hundreds of examples of highly functioning commons around the world today. Some have been around for centuries, others have risen in response to economic and environmental crises, and still others have been inspired by the distributive bias of digital networks. From the seed-sharing commons of India to the Potato Park of Peru, indigenous populations have been maintaining their lands and managing biodiversity through a highly articulated set of rules about sharing and preservation. From informal rationing of parking spaces in Boston to Richard Stallman’s General Public License (GPL) for software, new commons are serving to reinstate the value of land and labor, as well as the ability of people to manage them better than markets can. In the 1990s, Elinor Ostrom, the American political scientist most responsible for reviving serious thought about commoning, studied what specifically makes a commons successful. She concluded that a commons must have an evolving set of rules about access and usage and that it must have a way of punishing transgressions. It must also respect the particular character of the resource being managed and the people who have worked with that resource the longest. Managing a fixed supply of minerals is different from managing a replenishing supply of timber. Finally, size and place matter. It’s easier for a town to manage its water supply than for the planet to establish water-sharing rules.78 In short, a commons must be bound by people, place, and rules. Contrary to prevailing wisdom, it’s not an anything-goes race to the bottom. It is simply a recognition of boundaries and limits. It’s pooled, multifaceted investment in pursuit of sustainable production. It is also an affront to the limitless expansion sought by pure capital. If anything, the notion of a commons’ becoming “enclosed” by privatization is a misnomer: privatizing a commons breaks the boundaries that protected its land and labor from pure market forces. For instance, the open-source seed-sharing networks of India promote biodiversity and fertilizer-free practices among farmers who can’t afford Western pesticides.79 They have sustained themselves over many generations by developing and adhering to a complex set of rules about how seed species are preserved, as well as how to mix crops on soil to recycle its nutrients over centuries of growing. Today, they are in battle with corporations claiming patents on these heirloom seeds and indigenous plants. So it’s not the seed commons that have been enclosed by the market at all; rather, the many-generations-old boundaries have been penetrated and dissolved by disingenuously argued free-market principles.

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.

In effect, we know from Darwin that there are only four characteristics necessary in order to get adaptive evolution, right? If you have reproduction, variation, differential success, and an environment of limited resources, you're going to get adaptive evolution. When we set up an economic system, or a political system...*it evolves*. Things evolve within it. And if we don't anticipate that what we write down in our documents about what we're trying to accomplish does not have the capacity to overwhelm whatever niche we have set up and that we will ultimately see the creatures that are supported by the environment that we created, then we will never get this right. Because we will always be fooled by our own intentions, and we will create structures that create predators of an arbitrary kind. So we need to start thinking evolutionarily, because that's the mechanism for shaping society into something of a desirable type rather than a monstrous type. [...] So let's say we're talking about a political structure...and we know we don't like corruption...and we're going to set a penalty for attempting to corrupt the system. OK, now what you've done is you've built a structure in which evolution is going to explore the questions, 'What kind of corruptions are invisible?' and 'What kinds of penalties are tolerable from the point of view of discovering how to alter policy in the direction of some private interest?' Once you've set that up, if you let it run, evolutionarily it will create a genius corruptor, right? It will generate something that is capable of altering the functioning of the system without being spotted, and with being only slightly penalized -- and then you'll have no hope of confronting it, because it's going to be better at shifting policy than you will be at shifting it back. So what you have to do is, you have to build a system in which there *is no selection* that allows for this process to explore mechanisms for corrupting the system, right? You may have to turn the penalties up much higher than you would think, so that any attempt to corrupt the system is ruinous to the thing that attempts it. So the thing never evolves to the next stage, because it keeps going extinct, right? That's a system that is resistant to the evolution of corruption, but you have to understand that it's an evolutionary puzzle in the first place in order to accomplish that goal. [...] We sort of have this idea that we inherited from the wisdom of the 50s that genes are these powerful things lurking inside of us that shift all of this stuff that we can't imagine they would have control over, and there's some truth in it. But the larger truth is that so much of what we are is built into the software layer, and the software layer is there because it is rapidly changeable. That's why evolution shifted things in that direction within humans. And we need to take advantage of that. We need to be responsible for altering things carefully in the software, intentionally, in order to solve problems and basically liberate people and make life better for as many people as possible, rather than basically throw up our hands because we are going to claim that these things live at the genetic layer and therefore what can we do?

intellectual imperialism. It has been, and still is, used to denigrate the orientation that many people still experience, that the world, and the other organisms with which we share this Earth, are alive, intelligent, and aware. It has been used to stifle the response of the heart to what has been presented to the senses. This has resulted in the creation of a conceptual monoculture that can’t see outside its limitations. Such imperialists have set out to conquer the superstitious natives inhabiting the dark continent, the place where the general populace lives. Midgley makes the point that arguments such as Day’s rest in a belief in human beings as “an isolated will, guided by an intelligence, arbitrarily connected to a rather unsatisfactory array of feelings, and lodged, by chance, in an equally unsatisfactory human body.”18 Or as Susan Sontag once described it: “consciousness harnessed to flesh,”19 as if there could be consciousness without the emergence of the self-organized system we call the body. This type of dissociation is a common side effect of the materialist and very reductionist view of the world most of us are trained in. But as Midgely notes, this system of thought is not reason, not science, but behavioral examples of, as she puts it, an unexamined, “exuberant power fantasy.” It is bad software, generated out of unexamined psychological frameworks. The evolutionary escalator metaphor and the assumptions of what constitutes intelligence (and value) that are embedded within it create, automatically, behavior that is very dangerous to every other life-form on this planet—in fact to the health of every ecosystem this planet possesses.

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How to choose a best website development company RNS IT Solutions is the best Software development company. When choosing a development company for your website, it is very important not only to look at the price, but also the quality of the work you hope to obtain and it is that a good Web of quality, realized of the hand of good engineers who have been working in the sector for years, can make you recover the investment in a short time and generate great benefits in the long term. Of course, to have a quality website the initial investment will probably be greater than you expect and maybe right now you think that the web you need does not require much quality, or a lot of work, but stop to think for a moment and consider the possibility that you are totally wrong, because that may depend on the future of your company as well as Web Development company India.The image that you want to transmit to the clients of the same one and the investment that you will have to do in the web once developed. With all this I do not mean that you have to ask for a loan from the bank to pay for the web. If the project you have in mind takes more work than you initially thought and the budget is out of your expectations, you can always limit and remove features that are dispensable. In this way you can publish the Web as soon as possible, so that once the initial investment is amortized, you can continue investing in adding those features that were left in the background. There are few Web Development Company In India hat right now could not survive, if they were not involved in the online world and it costs much less to make you a quality professional website, with a higher initial investment, to make you a website on which you have to invest, and then large amounts in development and consulting to correct deficiencies initially not contemplated. In the worst case, a bad development, may even force you to throw all the code of the web to the trash, to have to start from scratch. But what is quality of Web Development Services India? Let's see the characteristics that a website must have in order to be considered quality and professional: In any development project, meetings are always held to develop an initial analysis, gathering all the requirements and objectives of the web that the client wants. At this point you should have a proactive attitude, proposing functionalities that could be interesting or alternative ideas that we know can generate good results.

Generative testing is an approach to testing software that was made popular by the QuickCheck library. Originally written in Haskell and since ported to several other programming languages (Ruby, Python, C, C++, Objective-C, Smalltalk, Java, JavaScript, Erlang, Scala, Clojure...), the QuickCheck library allows the developer to separate test logic from the generation of test cases. This means that, as developers, we can spend less time instructing the compiler how to test our code, and focus instead on what properties we expect our code to have.

Can’t we do better with Applicant Tracking System (ATS) software?

Today, the “mental workout” has gained great currency in the popular imagination. Brain gyms and memory boot camps are a growing fad, and brain training software was a $265 million industry in 2008, no doubt in part because of research that shows that older people who keep their minds active with crossword puzzles and chess can stave off Alzheimer’s and progressive dementia, but mostly because of the Baby Boomer generation’s intense insecurity about losing their marbles.

Nature abhors a vacuum, and in the absence of solid information, people generate their own information to fill that vacuum. They're not lying, they have no ill will; they're just trying to build a semblance of structure amongst the confusion.

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contained a designer virus engineered to access NCTC's computer network. The virus would install a backdoor into the system for the waiting cyber-ops team, while covering its own tracks with the latest generation rootkit software. Once the team had access to the system, they would download a more sophisticated and robust kernel-mode rootkit to conceal their direct access to the operating system. Since kernel-mode rootkits operated at the same security level as the operating system itself, they were difficult to detect and nearly impossible to remove without rebooting the entire system.

Google’s TensorFlow, an open-source software ecosystem for building deep learning-models, offers an early version of this but still requires some AI expertise to operate. The goal of the grid approach is to both lower that expertise threshold and increase the functionality of these cloud-based AI platforms. Making use of machine learning is nowhere near as simple as plugging an electric appliance into the wall—and it may never be—but the AI giants hope to push things in that direction and then reap the rewards of generating the “power” and operating the “grid.

The latest casualties of the march of technological progress are: the high-street clothes shop, the flushing water closet, the Main Battle Tank, and the first generation of quantum computers. New with the decade are cheap enhanced immune systems, brain implants that hook right into the Chomsky organ and talk to their owners through their own speech centers, and widespread public paranoia about limbic spam. Nanotechnology has shattered into a dozen disjoint disciplines, and skeptics are predicting that it will all peter out before long. Philosophers have ceded qualia to engineers, and the current difficult problem in AI is getting software to experience embarrassment. Fusion power is still, of course, fifty years away.

dependability of your business. 6. If your Customer is Traditional, you have to talk about the financial competitiveness of your business. Additionally, what your Customers want is determined by who they are. Who they are is regularly demonstrated by what they do. Think about the Customers with whom you do business. Ask yourself: In which of the categories would I place them? What do they do for a living? For example: If they are mechanical engineers, they are probably Neutral Customers. If they are cardiologists, they are probably Tactile. If they are software engineers, they are probably Experimental. If they are accountants, they are probably Traditional. But don’t take my word for it. Make your own analysis. CONFUSION 2: HOW TO COMMUNICATE EFFECTIVELY WITH YOUR CUSTOMER The next step in the Customer Satisfaction Process is to decide how to magnify the characteristics of your business that are most likely to appeal to your category of Customer. That begins with what marketing people call your Positioning Strategy. What do I mean by positioning your business? You position your business with words. A few well-chosen words to tell your Customers exactly what they want to hear. In marketing lingo, those words are called your USP, or Unique Selling Proposition. For example, if you are targeting Tactile Customers (people), your USP could be: “Superior Contracting, where the feelings of people really count!” If you are targeting Experimental Customers (new things), your USP could be: “Superior Contracting, where living on the edge is a way of life!” In other words, when they choose to do business with your company, they can count on your job being unique, original, on the cutting edge. Do you get it? Do you see how the ordinary things most Contractors do to get Customers can be done in a significantly more effective way? Once you understand the essential principles of marketing The E-Myth Way, the strategies by which you attract customers can make an enormous difference in your market share. When applied to your business, your Positioning Strategy becomes the foundation of what we at E-Myth call your Lead Generation System.

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Having studied both the possible risks and the likely rewards, the Guardian’s managers decided both to “open in” the website, by bringing in more data and applications from the outside, and to “open out” the site, by enabling partners to create products using Guardian content and services on other digital platforms. To work toward the “open out” goal, the Guardian created a set of APIs that made its content easily available to external parties. These interfaces include three different levels of access. The lowest access tier, which the paper calls Keyless, allows anyone to use Guardian headlines, metadata, and information architecture (that is, the software and design elements that structure Guardian data and make it easier to access, analyze, and use) without requesting permission and without any requirement to share revenues that might be generated. The second access tier, Approved, allows registered developers to reprint entire Guardian articles, with certain time and usage restrictions. Advertising revenues are shared between the newspaper and the developers. The third and highest access tier, Bespoke, is a customized support package that provides unlimited use of Guardian content—for a fee.

Jobs had tried to hire Rashid, then a computer science professor at Carnegie-Mellon University, but Rashid turned him down. He was reluctant to join the hurly-burly life of a corporation. His Mach research had been almost wholly funded by government grants; an agency of the Pentagon, his principal backer, saw Mach as crucial to unleashing the vast power of multiprocessor computers, inherently cheap machines that would someday replace pricey supercomputers as the backbone of the nation’s military and intelligence-gathering networks. Besides, Rashid was an academic purist. He seemed sincerely devoted to pursuing knowledge about software for its own sake. This was rare, even among academics, because software was such a remunerative field that the brightest researchers found themselves inexorably pulled into commerce: The money was too good. After

The imminent arrival of NT had turned the computer industry on its ear. After outsiders took stock of the first beta, expectations for NT grew. While easy to nitpick over flaws, some heralded the program as a grand achievement likely to alter the destinies of scores of computer and software companies. Those rivals most at risk—IBM, Sun Microsystems and Novell, to name the three biggest—girded themselves against the onslaught. First Boston, a securities firm that advised investors on the industry’s outlook, captured the mood on February 15, 1993, calling NT the “most aggressive new piece of software ever.” Eight

Bugs were the backdrop of the code writer’s life. A comma in the wrong place. An “if” where there should be a “then.” An erroneous call from one piece of the program to another. Each could instantly cause a seizure, the collapse of a finely wrought abstraction into a puddle of ones and zeroes. Only human, software was born to fail. If not catastrophically, then aesthetically. Every software captain knew this.

After he returned to London, we talked on the phone almost every day, and he got busy tinkering with the software. After I took a look at the finished version, I agreed to take the tracking system off his hands for $30,000. I sat down and wrote a simple agreement in which I outlined the general terms and conditions. I am not a lawyer, of course, but I thought I’d done a pretty good job of writing my first contract. And the way I did it was simplicity itself. I went online and did my homework. I looked at dozens of sample contracts, to try to get a handle on the way these things were written, and found everything I needed on the Web. (It’s even easier today; you can get a variety of contracts from various sites, at no charge.) The agreement stipulated that I would pay him in ninety days, once I had tested the program, but I already knew that it was working fine. The fact is, I needed those ninety days to generate enough income to pay him—though he didn’t need to know that. I also told him that if things worked out, I might want to hire him to run the software for me, on a month-to-month basis, when the company was up and running, and I mentioned the possibility of paying him $10,000 a month. I know that sounds like a huge number, and it was certainly a huge number to me, but I had been looking closely at my competition and at the staggering amounts of money that were being generated, and I knew that all I needed was one little deal to get my business off the ground.

When Franklin Graham recently called for a boycott of gay-friendly companies on his Facebook page, it quickly became apparent that to follow through on his own initiative, he’d need to delete his Facebook account (he didn’t), stop using any Microsoft software, and shut down all Apple devices. When he publicly moved the bank accounts of the Billy Graham Evangelistic Association to BB&T Bank in protest of a Wells Fargo ad featuring a lesbian couple and their daughter, it generated this Miami Herald headline: “Billy Graham Group Moving Money to BB&T, Sponsor of Miami Beach Gay Pride Fundraiser.”110

As software pundit Fred Brooks once observed, “How does a project get to be a year late?... One day at a time.” In

In its place had arisen a Promised Land of Duane Reades and Chase ATMs on every corner, luxury doorman buildings, Pilates studios and spin classes, eighteen-dollar rosemary-infused cocktails and seven-dollar cups of single-origin coffee—all of which were there to cater to a new generation of twentysomethings, the data scientists and brand strategists and software engineers and social media managers and product leads and marketing associates and IT coordinators ready to disrupt the world with apps. And today, like every day, they would work until it was dark again, and then they would go to dinner parties or secret cocktail bars or rooftop events, and most of them would end the night watching Netflix on their laptops in bed" - Prologue, Save Your Generation, in Doree Shafrir's Startup

there is no single decision you will make that will impact your company value more than the pricing," Horowitz declared, with oracular finality. When a software company market a new product - something original that nobody has seen before - it has once chance to set the price. Whatever point it chooses will stick in customers' minds, making it hard to raise prices later. Moreover, any given price difference will generate a bigger difference in a company's profit margin.

Technology partners What kind of customers are you trying to attract? If you give API access, then you attract software developers. Can you provide the support that they need, and is it worth your time? Most companies that built for us were very small, and we failed to generate significant revenue from API access. Almost all companies use a commercial website, and custom websites are rare. Here are the pros and cons of technology partners: Pros: You place 3rd party developers on the hook for support and maintenance. You free up developer time. You can expand your customer base. You lack developers to connect to a 3rd party system. When I built a QuickBooks integration for Kentico CMS, I asked them why they never built one themselves. Their response was that QuickBooks was not their business model. Connecting to QuickBooks is challenging and it requires a heavy lift for software developers. Cons: Building an integration could take several hours. Instead of building API access, can they integrate with you in another way? We pull orders from a variety of 3rd party shipping tools. Can the customer pull their sales into the shipping tool? Some developers fail to properly maintain and support their plugin. Your customers will call you and ask your company for help. If the 3rd party fails to respond, then you are in trouble. I advise gating your developer API to legitimate software companies only. Your company must provide developer support, which is also expensive and time-consuming. We had several instances where companies required multiple calls. It is difficult for some 3rd parties to follow developer guides and estimate costs. The 3rd party may have few clients and the cost to onboard the developer exceeds the sales.

discontinued the Xero integration. It hurts to build something that no one needs or wants, but that is the risk of building software. The Xero app generated $12,000 while the QuickBooks integration generated well over half a million dollars. If you can turn off a product and it has little effect on the bottom line, then you should deactivate it. I worked with Xero for about two years, and it was a distraction. You want to sell a thousand copies of one product, instead of one copy of a thousand products.

Why did Connex for QuickBooks Online succeed? Here are the reasons: I received free app store listings on Intuit’s website. My app was even on the first page of their store briefly. This drove large amounts of traffic to my site. I received free listings on many other sites before they started asking for a commission. I later pulled those listings, since the cost to advertise exceeded the revenue they brought to the company. These stores failed to show how many installs and conversions they generated. I had many positive and real reviews on my app store listings. I noticed competitors had hundreds of five-star reviews that mostly looked fake. QuickBooks Online had few integrations at the time. I was one of the first companies to get listed. For QuickBooks Canada and QuickBooks U.K., my app was one of the first system integrators. I had almost no competitors who serviced QuickBooks outside of the U.S. Shopify, BigCommerce, ShipStation and other companies had no native integration. Mine was one of the first. I recorded videos and added landing pages that ranked high on Google with minimal effort. Since I had a shoestring marketing budget, this was very important. The issue I had with other products was that they didn’t offer free promotion. Since my company was one of the first, we had ample time to add features and fix problems. We have a solution that is light years ahead of competitors. Why would someone want to compete with us? In the words of one of my partner companies, “We could build one, but yours would be a lot better.” My app required no desktop apps or website plugins to install. Since my audience was small business owners, the easier the install the better. Most business users have a limited understanding of websites. Asking them to change a bunch of settings or configure something on their own is daunting. We set up Connex for qualified users. Many competitors just let users go through a self-guided trial. We received feedback from many customers that they would purchase if they could make Connex work. I added a talk-to-sales component, and our conversion ratio increased. Connex was successful because I added a personal touch in a world where SaaS owners expect users to just “figure it out” on their own. Software that requires no support and maintenance is a pipe dream.

I etch a pattern of geometric shapes onto a stone. To the uninitiated, the shapes look mysterious and complex, but I know that when arranged correctly they will give the stone a special power, enabling it to respond to incantations in a language no human being has ever spoken. ...Yet my work involves no witchcraft. The stone is a wafer of silicon, and the incantations are software. The patterns etched on the chip and the programs that instruct the computer may look complicated and mysterious, but they are generated according to a few basic principles that are easily explained.

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Whereas a “Bitcoin maximalist” view holds that every payment or expression of value will eventually gravitate to Bitcoin (so long as its network can securely scale), the token economy vision is one of fragmentation in our instruments of value. In fact, if we take it to its logical conclusion, and software-driven systems can be developed to allow liquid exchanges across digital tokens, we may not need to hold a common currency at all to make exchanges with each other. For this to happen, we would need a powerful computer program that could, in real time, create markets to generate counter-referencing values on any two things. We’d need that program to be able to tell us, for example, how many Basic Attention Tokens it would take to buy the rights to a third of a Jackson Pollock painting. It would be a world of digital barter, a world without money as we know it.

Simple Fast Funnels may be the new kid on the block when it comes to a complete bumper to bumper CRM system, but it’s a force to be reckoned with! Business owners are switching over right and left and I’m going to outline 10 of the best features of Simple Fast Funnels so you can see what all the buzz is about! Funnel builder: Simple Fast Funnels has easy intuitive software so you can build your own landing pages, funnels, websites, sales pages etc. No developer needed, everything included and simple to use Email Software: Instead of paying hundreds or thousands per month to send emails, this software does it for you! You can have your entire email list automated or send emails on the fly, whatever fits the bill for you, they’ve got you covered and it’s so easy to track your email results so you can modify and make improvements as you go. Online Membership Area: Now, for no additional fees that lot’s of CRM software likes to charge, you can build glorious membership areas for your clients. You can control timing on video releases, give access for certain time periods upset packages… whatever your business looks like, if you can dream it, you can build it in the membership area. Survey and quiz generator: Ramp up your lead capture game to grow your customer list! One of the best ways to get leads is to get your customers talking about themselves. Not only do people love to take surveys and quizzes, but it can help you gather information about your clients to serve them better and grow your sales! SMS Marketing Software: If you’re not messaging your customers, you’re missing out, and if you are messaging your customers you’re probably over paying. Amazing automated intuitive SMS marketing can make your life much easier and allow you to reach your customers in more ways. Being where your customers are more present is always good for business. Simple Fast Funnels helps you get the cheapest SMS rates around and it automatically integrates into the system for your unified messages. Appointment booking: Another expensive thing you used to have to pay for and try to get to work properly with your website AND look decent is also built right in. Now, without leaving Simple Fast Funnels, you’re able to capture the lead, follow up with the lead all over the place, engage with them, build trust, book appointments, schedule calls and even send them automated text reminders. E com Purchases: Directly on your website, you’ll be able to take payments. No more invoices sent from other platforms, everything buttoned up nice and clean. Unified messaging: From now on, whether a client emails, texts, calls etc, it all shows up in one place at your end. This might not seem like a big deal, but it’s a HUGE pain to have to follow customers about and keep track of conversations. Now you see all your communication with customers in a neat little area. Blogs: Blogs these days can really help your marketing efforts across the board, and of course your blogs will be a perfect fit in your simple fast funnel account. Analytics: Data tracking when you’re dealing with features on various platforms is a nightmare. If you capture a lead on a Word press landing page, send it an email software like Keep, mail chimp or whatever, send them to a new website to schedule calls and another to make purchases… How could you possibly expect to get good customer data? Hosting all of your “business” in one location makes tracking flawless. The more customers you have the more data you need to be efficient. Cheers to making it easy. All that software and that’s just the top 10, guys there’s more. Simplefastfunnels.com also lets you have a 2 week free trial. Don’t take anyone word for anything. Go try it for yourself.

In software development, engineers are often pressured to deliver features instead of fixing defects, addressing reliability issues, or working on internal improvement projects. As a result, so called “technical debt”§§ adds up, leading to more complex problems that are increasingly difficult to solve. Consequently, Marty Cagan, a product expert who has trained generations of product leaders on building software products that customers love, stresses the importance for product and engineering leaders to allocate at least 20% of engineering’s time to proactively fix issues before they snowball into catastrophic ones, such as having to “rewrite the entire codebase from scratch.

Project management is the art of getting things done. Product management is deciding what to do in the first place—and also, as in the case of the benefit screeners, deciding what not to do. If you collect hundreds of formal requirements and just start building software for all of them, you’ve generated a whole lot of work for skilled and dedicated project managers, but you haven’t made any real choices.

In 2012, a team of researchers at Google found that psychological safety was the top predictor of team effectiveness.8 Similarly, in the State of DevOps research, a high-trust culture, which includes psychological safety, predicted software delivery and organizational performance in technology value streams, as measured by the Westrum organizational typology model, which divided organizations into pathological, bureaucratic, and generative.

Think about it. There are some phrases that just wouldn’t appear in the English language:* ‘I chose not to be angry.’ ‘He plans to fall in love at 4.30pm tomorrow.’ ‘She decided that she was no longer to feel uneasy in his presence.’ ‘From that moment on, she determined no longer to be afraid of heights.’* ‘He decided to like spiders and snakes.’ Things like this are not under our direct control, but are rather the product of instinctive and automatic emotions. There is a good evolutionary reason why we are imbued with these strong, involuntary feelings: feelings can be inherited, whereas reasons have to be taught, which means that evolution can select for emotions much more reliably than for reasons. To ensure your survival, it is much more reliable for evolution to give you an instinctive fear of snakes at birth than relying on each generation to teach its offspring to avoid them. Things like this aren’t in our software – they are in our hardware.

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with Facebook’s purchase of Instagram following the introduction of the front-facing camera. By 2012, many teen girls would have felt that “everyone” was getting a smartphone and an Instagram account, and everyone was comparing themselves with everyone else. Over the next few years the social media ecosystem became even more enticing with the introduction of ever more powerful “filters” and editing software within Instagram and via external apps such as Facetune. Whether she used filters or not, the reflection each girl saw in the mirror got less and less attractive relative to the girls she saw on her phone. While girls’ social lives moved onto social media platforms, boys burrowed deeper into the virtual world as they engaged in a variety of digital activities, particularly immersive online multiplayer video games, YouTube, Reddit, and hardcore pornography—all of which became available anytime, anywhere, for free, right on their smartphones. With so many new and exciting virtual activities, many adolescents (and adults) lost the ability to be fully present with the people around them, which changed social life for everyone, even for the small minority that did not use these platforms. That is why I refer to the period from 2010 to 2015 as the Great Rewiring of Childhood. Social patterns, role models, emotions, physical activity, and even sleep patterns were fundamentally recast, for adolescents, over the course of just five years. The daily life, consciousness, and social relationships of 13-year-olds with iPhones in 2013 (who were born in 2000) were profoundly different from those of 13-year-olds with flip phones in 2007 (who were born in 1994).

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In requirements gathering meetings giving right answers to wrong questions is worse than giving wrong answers to the right questions. Wrong questions mislead the team, generate conflicts, waste project time, and result in failure. Business analysts should prepare simple, objective, and to-the-point questions before these meetings.

In passing we mention Joseph Weizenbaum’s celebrated program ELIZA that mimics conversation between a patient and an analyst. It attracted a lot of attention, even a belief in the psychotherapist it simulates, to the extent that its inventor came to be surprised and even embarrassed by the misguided enthusiasm that the ELIZA program generated. The code supporting the program is simple, but the behavior is, at first, quite impressive. What we are after, however, is a code that rests on a pattern theoretic analysis of the human mind specifying the details of mental processes, and such codes will have to be complex. As we shall see it will take some complex software to achieve our goal, even roughly. To facilitate programming we shall write in MATLAB although this will result in slow execution. In a later stage we may compile the code into C++ or into executables, but at the moment

In passing we mention Joseph Weizenbaum’s celebrated program ELIZA that mimics conversation between a patient and an analyst. It attracted a lot of attention, even a belief in the psychotherapist it simulates, to the extent that its inventor came to be surprised and even embarrassed by the misguided enthusiasm that the ELIZA program generated. The code supporting the program is simple, but the behavior is, at first, quite impressive. What we are after, however, is a code that rests on a pattern theoretic analysis of the human mind specifying the details of mental processes, and such codes will have to be complex. As we shall see it will take some complex software to achieve our goal, even roughly. To facilitate programming we shall write in MATLAB although this will result in slow execution. In a later stage we may compile the code into C++ or into executables, but at the moment we are not concerned with computational speed.

testing is an idea generation activity, rather than a plan implementation activity.

There are those of us who nature is awakening to the secrets of the universe; apart from religious dogma or occult dabbling. It is Natural Law. It is awakening the minds and quickening the senses of those whom it's calling its descendants. Nature is fighting for its rightful place, which can never be fully usurped. Those who are most open to this knowledge are artists (poets, musicians, writers) who also happen to be free thinkers or "outsiders" to the system. We hear a voice that is calling us to waken to the secrets of the universe. Perhaps in some distant future, humanity will read of us; the ones who paved the way for this Pali or New Romanticism called the awakening unto Nature's Law. It won't be technology or software that paves the way, but nature. It won't allow itself to be destroyed, maybe uninhabitable for a time for humans, but never destroyed. There are those of us, the chosen few who are following the narrow path. We will be the future thinkers and writers who generations will read about that truly changed the world, and made a way where there seemingly was none.

true productivity has to be measured relative to the outcomes of the overall system, not just the software. Just producing a lot of lines of code or function points is irrelevant; the real question is, How much improvement in customer outcomes has the development team generated?

We select our target customer segments, we design our value propositions to best serve these customer segments, we choose which type of relationships we will have with our customers and we choose which channels we will use to find, win, make, keep and grow our happy customers. We call this part of the business model the “Front Office.” Our front office activities will generate customers and revenue. In the “Back Office” of our business model we need to employ certain key resources that can execute certain key activities delivering our value propositions to our customers. The back office often builds relationships with key partners5 and the back office generates cost.

Although earlier computers existed in isolation from the world, requiring their visuals and sound to be generated and live only within their memory, the Amiga was of the world, able to interface with it in all its rich analog glory. It was the first PC with a sufficient screen resolution and color palette as well as memory and processing power to practically store and display full-color photographic representations of the real world, whether they be scanned in from photographs, captured from film or video, or snapped live by a digitizer connected to the machine. It could be used to manipulate video, adding titles, special effects, or other postproduction tricks. And it was also among the first to make practical use of recordings of real-world sound. The seeds of the digital-media future, of digital cameras and Photoshop and MP3 players, are here. The Amiga was the first aesthetically satisfying PC. Although the generation of machines that preceded it were made to do many remarkable things, works produced on them always carried an implied asterisk; “Remarkable,” we say, “. . . for existing on such an absurdly limited platform.” Even the Macintosh, a dramatic leap forward in many ways, nevertheless remained sharply limited by its black-and-white display and its lack of fast animation capabilities. Visuals produced on the Amiga, however, were in full color and could often stand on their own terms, not as art produced under huge technological constraints, but simply as art. And in allowing game programmers to move beyond blocky, garish graphics and crude sound, the Amiga redefined the medium of interactive entertainment as being capable of adult sophistication and artistry. The seeds of the aesthetic future, of computers as everyday artistic tools, ever more attractive computer desktops, and audiovisually rich virtual worlds, are here. The Amiga empowered amateur creators by giving them access to tools heretofore available only to the professional. The platform’s most successful and sustained professional niche was as a video-production workstation, where an Amiga, accompanied by some relatively inexpensive software and hardware peripherals, could give the hobbyist amateur or the frugal professional editing and postproduction capabilities equivalent to equipment costing tens or hundreds of thousands. And much of the graphical and musical creation software available for the machine was truly remarkable. The seeds of the participatory-culture future, of YouTube and Flickr and even the blogosphere, are here. The

By the summer of 1988, Bill Gates was the leading representative of a new breed of tycoon: the software superrich. Just as oil created a kind of royalty in the last century, “wildcat” programmers had emerged among the wealthiest self-made men in America. Paul Allen, who had left Microsoft because of illness, was worth megamillions. So were the founders of other leading software companies. At the age of thirty-three, Gates was the youngest billionaire in the United States.

Despite his harsh criticisms Gates admired programmers and invariably put them in charge of projects, where they could both manage and program. While this double duty was stressful, Gates wanted to avoid a situation in which professional managers, with either no programming experience or out-of-date knowledge, held sway. It was destructive to rely on management pros to run software teams—or the company. They could not distinguish a promising program from a bust or evaluate schedules or product designs. At companies run by professionals, managers almost always came to mistrust their programmers, whom they could neither understand nor control. Gates

Nathan Myrhvold had been a protégé of the celebrated physicist Stephen Hawking before forming a software company in Berkeley, California, with some fellow Princeton University Ph.D’s. What drew Myrhvold, or any physicist, to programming? The outer reaches of science increasingly relied on computers; the days of a genius scribbling formulas on the back of an envelope had almost vanished. Physicists usually saw programming as a means to an end. Myrhvold found that his attachment to software superseded his fascination with physical science. His company gained wide notice when he and his friends wrote a faster, smaller clone of IBM’s TopView graphics program. IBM briefly considered making TopView the software interface—the piece seen by customers—for PCs. Trying to keep pace with IBM, Gates wanted a clone of TopView, so he bought Myrhvold’s company. Since

What is an operating system, really? What did Cutler’s team wish to create? Picture a wealthy English household in the early 1900s. Think of a computer—the hardware—as a big house, the family’s residence. The house consists of plumbing and lighting, bricks and mortar, windows and doors—all manner of physical things and processes. Next, imagine computer software as the people in the house. The household staff, living downstairs, provide a whole range of services at once. The butler stands by the door, the driver washes the car, the housekeeper presses the linen, the cook provides meals and bakes cakes, the gardener rakes the leaves from the lawn. And this activity, which seemingly happens of its own accord, is coordinated by the head of the household staff. Such is the life of the downstairs dwellers, who in a certain sense exist in the background. Then consider the people upstairs. They are the whole reason for the toil of the people downstairs. The husband desires a driver not simply for peace of mind but because he wishes to travel. The wife employs a cook, so her family can eat well. The children benefit from the work of the gardener, who clears the yard of debris, enabling them to play outdoors safely. The picture of the family upstairs and their faithful downstairs servants neatly illustrates the great divide in the world of software. The people upstairs are the applications: the word-processing, electronic ledger, database, publishing and numerous other programs that satisfy human needs and wants. The people downstairs collectively perform the functions of an operating system. Theirs is a realm of services, some automatic, some requiring a special request. These services lay the basis for the good stuff of life. Cutler

Having grown rapidly, many PC software companies were stretched to the limit simply building their programs. With customers clamoring for new products, testing inevitably had to take a backseat. In addition, though it was eroding, there remained a pejorative attitude toward testing: “Let the customer test the program.” That saved the builder money and time, but it frustrated buyers, who came to view the first release of a program as a gamble. Microsoft

In the formative years of digital computing, following World War II, both the operating system and applications were considered afterthoughts by designers. The “hardware” of electronics, as distinct from the “software” of programs, was so difficult that engineers could hardly see past it. The most important type of hardware was the circuitry or processors that actually carried out the instructions given the computer. A second set of devices made it possible to get data into and out of a computer. A third class stored information. A fourth class allowed one computer to send information to another, over special cable or telephone lines. The question of software generally arose only after the hardware pieces fell into place.

In the early 1960s, IBM attempted to revolutionize the field of software by making it possible to run the same program on any number of computers. IBM proposed a family of machines, covering most of the market and controlled by one operating system. The System/360 line, developed at a cost of five hundred million dollars, was a huge success.

It wasn’t until five years after the first 360 hardware was introduced in 1964 that all of its software ran well. By then, IBM had spent nearly as much writing the software as designing the hardware. This astonished the company’s managers and vividly highlighted “the greatest impediment to advances in computer technology,” the problem of managing large software projects. At

Then as now the PC held a curious power over restless, analytical people. To start with, the computer carried a psychological appeal not unlike that of an automobile. Both machines were objects of intense attachment for many of their owners—feelings of attachment that went well beyond the utility of the machines. While illustrating the way in which people can form emotional bonds with tools, the symbolisms of the automobile and the PC differed in an important way. The realm of the automobile extended no further than that of fantasy and enjoyment. The PC, by contrast, was a medium for creation. The utility of a PC arose directly from its software. Writing software required little money and, surprisingly, scant experience.

Even seasoned code writers could not dismiss the possibility of being trapped in something akin to an infinite loop, wherein fixes spawned their own bugs. It had happened to others. The history of software was littered with projects, large and small, that had been abandoned in disgust, destroying careers.

The Federal Trade Commission, a U.S. regulatory agency, was investigating Microsoft for possible violations of laws aimed at limiting abusive monopolies. This pained Gates, who felt he was simply a victim of his great success. “I don’t think the rich get much credit for anything,” he said. His own experience, he felt, bore this out. Just a few years earlier, he had been celebrated as the scrappy entrepreneur who courageously carved a thriving business from the technological wilderness ignored by entrenched powers. Now he was a maligned bully who wanted to own the entire software universe; a greedy man who thumbed his nose at both customers and competitors. Which

Poor performance was a common failing of most new programs. The annals of software amply showed this; nearly every landmark system, from IBM’s 360 to the various flavors of Unix to Microsoft’s Windows, was released in an immature state and evolved over time to win broader acceptance. Indeed, people expected the first commercial release of a new program to contain flaws of all sorts.

The ability to carry into the future thousands of applications from the past placed NT in a class of its own in the brief history of personal computing. But the Windows personality enabled NT to keep one foot in the past. This was the great departure. Computer makers previously had forced customers to adopt an abandon-ship attitude to their past applications software. To achieve a higher level of performance, customers were asked to leave everything behind (they could still use their old software if they were willing to essentially sacrifice the innovations in their new ship). Microsoft itself had essentially made this pitch when it initially introduced OS/2 in 1987. The failure of OS/2 left a deep impression on Gates; it gave him a better sense of the shock of the new, of just how much innovation the mass of PC owners could accept at once. Customers wanted to carry the past into the future, so NT must support old applications. Achieving

Consider Multi-store e-commerce. If you have specific vertical, you may want to consider taking your inventory and creating small boutique websites for specific product lines. Software like Netsuite.com can create multiple e-commerce stores from one admin dashboard.

During stop-and-go situations, the Tesla will brake by kicking the motor into reverse via software and slowing down the wheels instead of using brake pads and friction to clamp them down. The Tesla motor generates electricity during this process and funnels it back to the batteries, which is why electric cars get better mileage in city traffic.

European languages and a Google app can now turn your words into a foreign language, either in text form or as an electronic voice. Skype, an internet-telephony service, said recently that it would offer much the same (in English and Spanish only). But claims that such technological marvels will spell the end of old-fashioned translation businesses are premature. Software can give the gist of a foreign tongue, but for business use (if executives are sensible), rough is not enough. And polyglot programs are a pinprick in a vast industry. The business of translation, interpreting and software localisation (revising websites, apps and the like for use in a foreign language) generates revenues of $37 billion a year, reckons Common Sense Advisory (CSA), a consulting firm.

Q: How many Java programmers does it take to change a lightbulb? A: One, to generate a “ChangeLightBulb” event to the socket. Q: How many C++ programmers does it take to change a lightbulb? A: You’re still thinking procedurally. A well-designed lightbulb object would inherit a change method from a generic lightbulb class. Q: How many Windows programmers does it take to change a lightbulb? A: Three. One to write WinGetLightBulbHandle, one to write WinQueryStatusLightBulb, and one to write WinGetLight-SwitchHandle. Q: How many database programmers does it take to change a lightbulb? A: Three. One to write the lightbulb removal program, one to write the lightbulb insertion program, and one to act as a lightbulb administrator to make sure nobody else tries to change the light-bulb at the same time. Q: How many software engineers does it take to change a lightbulb? A: None. That’s a hardware problem. Q: How many Microsoft engineers does it take to change a lightbulb? A: None. They will redefine darkness as an industry standard.

Each group was required to propose its own “fitness function”—a linear equation that it could use to measure its own impact without ambiguity. For example, a two-pizza team in charge of sending advertising e-mails to customers might choose for its fitness function the rate at which these messages were opened multiplied by the average order size those e-mails generated. A group writing software code for the fulfillment centers might home in on decreasing the cost of shipping each type of product and reducing the time that elapsed between a customer’s making a purchase and the item leaving the FC in a truck. Bezos wanted to personally approve each equation and track the results over time. It would be his way of guiding a team’s evolution. Bezos was applying

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Regarding both size and performance, customer preferences were clear. They wanted software that gave speedy results on inexpensive hardware and got great mileage out of memory.