Network Engineer Quotes

ZERO TO ONE EVERY MOMENT IN BUSINESS happens only once. The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. And the next Mark Zuckerberg won’t create a social network. If you are copying these guys, you aren’t learning from them.

You need mountains, long staircases don't make good hikers.

Travelling the road will tell you more about the road than the google will tell you about the road.

On the first day of a college you will worry about how will you do inside the college? and at the last day of a college you will wonder what will you do outside the college?

EVERY MOMENT IN BUSINESS happens only once. The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. And the next Mark Zuckerberg won’t create a social network. If you are copying these guys, you aren’t learning from them.

Cowards say it can't be done, critics say it shouldn't have been done, creator say well done.

Why give a robot an order to obey orders—why aren't the original orders enough? Why command a robot not to do harm—wouldn't it be easier never to command it to do harm in the first place? Does the universe contain a mysterious force pulling entities toward malevolence, so that a positronic brain must be programmed to withstand it? Do intelligent beings inevitably develop an attitude problem? (…) Now that computers really have become smarter and more powerful, the anxiety has waned. Today's ubiquitous, networked computers have an unprecedented ability to do mischief should they ever go to the bad. But the only mayhem comes from unpredictable chaos or from human malice in the form of viruses. We no longer worry about electronic serial killers or subversive silicon cabals because we are beginning to appreciate that malevolence—like vision, motor coordination, and common sense—does not come free with computation but has to be programmed in. (…) Aggression, like every other part of human behavior we take for granted, is a challenging engineering problem!

Be a true traveller, don't be a temporary tourist.

The tendency to create powerful things with unintended consequences started not with the invention of the steam engine or AI but with the invention of religion. Prophets and theologians have summoned powerful spirits that were supposed to bring love and joy but occasionally ended up flooding the world with blood.

Search engines finds the information, not necessarily the truth.

Ability to find the answers is more important than ability to know the answers.

In the information age, build a website before you build a workplace.

Just as combining the steam engine with ingenious machinery drove the Industrial Revolution, the combination of the computer and distributed networks led to a digital revolution that allowed anyone to create, disseminate, and access any information anywhere.

If automating everything makes people lazier and lazier, and laziness leads to stupidity, which it does for most people, judging by the current content circulating the social networks everywhere, except North Korea, where they don’t have any internet to speak of - at some point the Japanese robots, for which a market niche is currently being developed, with no concerns on how they should be designed to act in society or outside it - will have no choice, but to take everything over, to preserve us from ourselves…

The next phase of the Digital Revolution will bring even more new methods of marrying technology with the creative industries, such as media, fashion, music, entertainment, education, literature, and the arts. Much of the first round of innovation involved pouring old wine—books, newspapers, opinion pieces, journals, songs, television shows, movies—into new digital bottles. But new platforms, services, and social networks are increasingly enabling fresh opportunities for individual imagination and collaborative creativity. Role-playing games and interactive plays are merging with collaborative forms of storytelling and augmented realities. This interplay between technology and the arts will eventually result in completely new forms of expression and formats of media. This innovation will come from people who are able to link beauty to engineering, humanity to technology, and poetry to processors. In other words, it will come from the spiritual heirs of Ada Lovelace, creators who can flourish where the arts intersect with the sciences and who have a rebellious sense of wonder that opens them to the beauty of both.

In professional networks that acted as fertile soil for successful groups, individuals moved easily among teams, crossing organizational and disciplinary boundaries and finding new collaborators. Networks that spawned unsuccessful teams, conversely, were broken into small, isolated clusters in which the same people collaborated over and over. Efficient and comfortable, perhaps, but apparently not a creative engine.

Suffering the nasty twisting of body parts that should never be twisted, the card soldiers fell, lifeless, and Arch's bodyguards were soon pushing through the tangles of Outerwilderbeastie, cruching twigs and leaves underfoot. Visit the labs?" Blister said, refurring the squate network of building in Wondertropolies' warehouse district, where a consortium of Alyss' scientists and engineers had tried to transform a host of captured Glass Eyes into a benign force. On the lab grounds were the incinerator baths--large pits into which the Glass Eyes were being herded and melted down, sorched into ash. There would be lots of Glasss Eyes to choose from at the labs, bbut Ripkins shook his head. To much security," he said. Find one that roaming?" It'll be easier for us to avoid notcie," Ripkins said. Yeah, but it'd be more fun to hit the labs.

As a student of Tony Robbins, Matt had been using affirmations and incantations for years to create extraordinary levels of success. Owning five homes and one of the top network engineers in the country (all by age 25), I should have figured Matt knew what he was doing. After all, I was the one renting a room in his house.

Today we have something that works in the same way, but for everyday people: the Internet, which encourages public thinking and resolves multiples on a much larger scale and at a pace more dementedly rapid. It’s now the world’s most powerful engine for putting heads together. Failed networks kill ideas, but successful ones trigger them.

Trekking means a travelling experience with a thrilling excitement.

For customers, a website is an 'always open' workplace of your business.

Create your own digital personal brand, or the search engine algorithm will do it for you.

The engines of America run on Saudi oil, but the networks of global Islamic terrorism run largely on Saudi money.

Be conservative in what you do, be liberal in what you accept from others

A website should be designed such that a visitor should go the cart with confidence and not to your contact page with confusion.

A website can make money for you while you are asleep.

NASA was able to send a man to the moon. Engineers in Silicon Valley were able to devise a way to put a programmable computer on a chip called a microprocessor. And ARPA created a network that could connect distant computers.

You will look in vain for a European search engine, a European online retailer, a European social network. The biggest EU-based Internet company is Spotify, the Stockholm-based music and video streaming company founded in 2006.

on Earth, everybody uses smartphones, and they all connect to the Internet, where you find things with a search engine. You tell the search engine what you’re looking for, and then it shows you a bunch of advertisements related to that thing.

The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. And the next Mark Zuckerberg won’t create a social network. If you are copying these guys, you aren’t learning from them.” •

There’s a certain amount of vulnerability involved with being a network on the Internet. When two networks connect, they have to trust each other—which also means trusting everyone the other one trusts. Internet networks are promiscuous, but their promiscuity is out in the open. It’s free love. Jon Postel, the longtime administrator of the Internet Assigned Numbers Authority, put this into a koan, a golden rule for network engineers: “Be conservative in what you send, be liberal in what you accept.

Most of the successful innovators and entrepreneurs in this book had one thing in common: they were product people. They cared about, and deeply understood, the engineering and design. They were not primarily marketers or salesmen or financial types; when such folks took over companies, it was often to the detriment of sustained innovation. “When the sales guys run the company, the product guys don’t matter so much, and a lot of them just turn off,” Jobs said. Larry Page felt the same: “The best leaders are those with the deepest understanding of the engineering and product design.”34 Another lesson of the digital age is as old as Aristotle: “Man is a social animal.” What else could explain CB and ham radios or their successors, such as WhatsApp and Twitter? Almost every digital tool, whether designed for it or not, was commandeered by humans for a social purpose: to create communities, facilitate communication, collaborate on projects, and enable social networking. Even the personal computer, which was originally embraced as a tool for individual creativity, inevitably led to the rise of modems, online services, and eventually Facebook, Flickr, and Foursquare. Machines, by contrast, are not social animals. They don’t join Facebook of their own volition nor seek companionship for its own sake. When Alan Turing asserted that machines would someday behave like humans, his critics countered that they would never be able to show affection or crave intimacy. To indulge Turing, perhaps we could program a machine to feign affection and pretend to seek intimacy, just as humans sometimes do. But Turing, more than almost anyone, would probably know the difference. According to the second part of Aristotle’s quote, the nonsocial nature of computers suggests that they are “either a beast or a god.” Actually, they are neither. Despite all of the proclamations of artificial intelligence engineers and Internet sociologists, digital tools have no personalities, intentions, or desires. They are what we make of them.

Stop for a second to behold the miracle of engineering that these hand-held, networked computers represent—the typical CPU in a modern smartphone is ten times more powerful than the Cray-1 supercomputer installed at Los Alamos National Laboratory in 1976.

Our rich and complex international networks of production and distribution have come to an end before, but here we are, you and I, and here is humanity. What if the meaning of life on earth is not eternal progress toward some unspecified goal - the engineering and production of more and more powerful technologies, the development of more and more complex and abstruse cultural forms? What if these things just rise and recede naturally, like tides, while the meaning of life remains the same always - just to live and be with other people?

Finally, some scientists concede that consciousness is real and may actually have great moral and political value, but that it fulfils no biological function whatsoever. Consciousness is the biologically useless by-product of certain brain processes. Jet engines roar loudly, but the noise doesn’t propel the aeroplane forward. Humans don’t need carbon dioxide, but each and every breath fills the air with more of the stuff. Similarly, consciousness may be a kind of mental pollution produced by the firing of complex neural networks. It doesn’t do anything. It is just there. If this is true, it implies that all the pain and pleasure experienced by billions of creatures for millions of years is just mental pollution. This is certainly a thought worth thinking, even if it isn’t true. But it is quite amazing to realise that as of 2016, this is the best theory of consciousness that contemporary science has to offer us. Maybe

I want my crew back.' Arada's brows lifted, like she was relieved it wasn't something worse. "What happened to them?" 'The hostiles stole them, forced me to cooperate by threatening their welfare, infected my engines with interdicted alien remnant technology, installed adversarial software, and then deleted me.' I was still mad, right? But there were a lot of keywords there that invoked involuntary responses. Thiago kept his expression neutral. "Then how are you talking to us if--" 'I saved a backup copy and hid it where only a trusted friend could find it.' I was looking at the wall, watching everyone and the display with Amena's drones. Trusted friend? "Oh, fuck you." 'That still counts as speaking.

A lot of these new start-up founders are somewhat unsavory people. The old tech industry was run by engineers and MBAs; the new tech industry is populated by young, amoral hustlers, the kind of young guys (and they are almost all guys) who watched The Social Network and its depiction of Mark Zuckerberg as a lying, thieving, backstabbing prick—and left the theater wanting to be just like that guy.

Consciousness is the biologically useless by-product of certain brain processes. Jet engines roar loudly, but the noise doesn’t propel the aeroplane forward. Humans don’t need carbon dioxide, but each and every breath fills the air with more of the stuff. Similarly, consciousness may be a kind of mental pollution produced by the firing of complex neural networks. It doesn’t do anything. It is just there.

Web 2.0 is our code word for the analog increasingly supervening upon the digital—reversing how digital logic was embedded in analog components, sixty years ago. Search engines and social networks are just the beginning—the Precambrian phase. “If the only demerit of the digital expansion system were its greater logical complexity, nature would not, for this reason alone, have rejected it,” von Neumann admitted in 1948.

In 2018 the common person feels increasingly irrelevant. Lots of mysterious words are bandied around excitedly in TED Talks, government think tanks, and high-tech conferences—globalization, blockchain, genetic engineering, artificial intelligence, machine learning—and common people may well suspect that none of these words are about them. The liberal story was the story of ordinary people. How can it remain relevant to a world of cyborgs and networked algorithms?

A century ago, historians of technology felt that individual inventors were the main actors that brought about the Industrial Revolution. Such heroic interpretations were discarded in favor of views that emphasized deeper economic and social factors such as institutions, incentives, demand, and factor prices. It seems, however, that the crucial elements were neither brilliant individuals nor the impersonal forces governing the masses, but a small group of at most a few thousand people who formed a creative community based on the exchange of knowledge. Engineers, mechanics, chemists, physicians, and natural philosophers formed circles in which access to knowledge was the primary objective. Paired with the appreciation that such knowledge could be the base of ever-expanding prosperity, these elite networks were indispensable, even if individual members were not. Theories that link education and human capital to technological progress need to stress the importance of these small creative communities jointly with wider phenomena such as literacy rates and universal schooling.

For some, there may be a kind of engineer’s satisfaction in the streamlining and networking of our entire lived experience. And yet a certain nervous feeling, of being overstimulated and unable to sustain a train of thought, lingers. Though it can be hard to grasp before it disappears behind the screen of distraction, this feeling is in fact urgent. We still recognize that much of what gives one’s life meaning stems from accidents, interruptions, and serendipitous encounters: the “off time” that a mechanistic view of experience seeks to eliminate.

So we had better call upon our lawyers, politicians, philosophers and even poets to turn their attention to this conundrum: how do you regulate the ownership of data? This may well be the most important political question of our era. If we cannot answer this question soon, our sociopolitical system might collapse. People are already sensing the coming cataclysm. Perhaps this is why citizens all over the world are losing faith in the liberal story, which just a decade ago seemed irresistible. How, then, do we go forward from here, and how do we cope with the immense challenges of the biotech and infotech revolutions? Perhaps the very same scientists and entrepreneurs who disrupted the world in the first place could engineer some technological solution? For example, might networked algorithms form the scaffolding for a global human community that could collectively own all the data and oversee the future development of life? As global inequality rises and social tensions increase around the world, perhaps Mark Zuckerberg could call upon his 2 billion friends to join forces and do something together?

It was the combination of EC2 and S3 - storage and compute, two primitives linked together - that transformed both AWS and the technology world. Startups no longer needed to spend their venture capital on buying servers and hiring specialized engineers to run them. Infrastructure costs were variable instead of fixed, and they could grow in direct proportion to revenues. It freed companies to experiment, to change their business models with a minimum of pain, and to keep up with the rapidly growing audiences of erupting social networks like Facebook and Twitter.

It was thus that in the second half of 1969—amid the static of Woodstock, Chappaquiddick, Vietnam War protests, Charles Manson, the Chicago Eight trial, and Altamont—the culmination was reached for three historic enterprises, each in the making for almost a decade. NASA was able to send a man to the moon. Engineers in Silicon Valley were able to devise a way to put a programmable computer on a chip called a microprocessor. And ARPA created a network that could connect distant computers. Only the first of these (perhaps the least historically significant of them?) made headlines. THE

The transformation of power into authority is essential for building reciprocity across huge groups of people, such as everyone accepting the obligation to pay their taxes. Leaders are not engineers of human souls, but they can harness our emotions. The dangerous leaders are those who rely only on enforcement. The valuable ones are those who use their position as communicator-in-chief at the hub of their networked group – they achieve influence through crafting narratives and actions. All leaders add and refine the narratives that fit within the belief system of their group, but great leaders build an entire belief system.28

As John Jantsch says in his book, The Referral Engine: Teaching Your Business to Market Itself, “Being recognized as a source of good information, including referrals, is a great way to connect with others. Think about how eagerly you responded the last time someone asked you for directions, offering up your favorite shortcut and tips for avoiding traffic. We all do it. Making referrals is a deeply satisfying way to connect with others, and asking for referrals is just the other side of the same phenomenon. I think the growth of many popular social networks can be traced to the fact that people love to connect and form communities around shared ideas.”1

Much of the first round of innovation involved pouring old wine—books, newspapers, opinion pieces, journals, songs, television shows, movies—into new digital bottles. But new platforms, services, and social networks are increasingly enabling fresh opportunities for individual imagination and collaborative creativity. Role-playing games and interactive plays are merging with collaborative forms of storytelling and augmented realities. This interplay between technology and the arts will eventually result in completely new forms of expression and formats of media. This innovation will come from people who are able to link beauty to engineering, humanity to technology, and poetry to processors.

Google had a built-in disadvantage in the social networking sweepstakes. It was happy to gather information about the intricate web of personal and professional connections known as the “social graph” (a term favored by Facebook’s Mark Zuckerberg) and integrate that data as signals in its search engine. But the basic premise of social networking—that a personal recommendation from a friend was more valuable than all of human wisdom, as represented by Google Search—was viewed with horror at Google. Page and Brin had started Google on the premise that the algorithm would provide the only answer. Yet there was evidence to the contrary. One day a Googler, Joe Kraus, was looking for an anniversary gift for his wife. He typed “Sixth Wedding Anniversary Gift Ideas” into Google, but beyond learning that the traditional gift involved either candy or iron, he didn’t see anything creative or inspired. So he decided to change his status message on Google Talk, a line of text seen by his contacts who used Gmail, to “Need ideas for sixth anniversary gift—candy ideas anyone?” Within a few hours, he got several amazing suggestions, including one from a colleague in Europe who pointed him to an artist and baker whose medium was cake and candy. (It turned out that Marissa Mayer was an investor in the company.) It was a sobering revelation for Kraus that sometimes your friends could trump algorithmic search.

It’s All about Scaling Most of the current learning algorithms were discovered more than twenty-five years ago, so why did it take so long for them to have an impact on the real world? With the computers and labeled data that were available to researchers in the 1980s, it was only possible to demonstrate proof of principle on toy problems. Despite some promising results, we did not know how well network learning and performance would scale as the number of units and connections increased to match the complexity of real-world problems. Most algorithms in AI scale badly and never went beyond solving toy problems. We now know that neural network learning scales well and that performance continues to increase with the size of the network and the number of layers. Backprop, in particular, scales extremely well. Should we be surprised? The cerebral cortex is a mammalian invention that mushroomed in primates and especially in humans. And as it expanded, more capacity became available and more layers were added in association areas for higher-order representations. There are few complex systems that scale this well. The Internet is one of the few engineered systems whose size has also been scaled up by a million times. The Internet evolved once the protocols were established for communicating packets, much like the genetic code for DNA made it possible for cells to evolve. Training many deep learning networks with the same set of data results in a large number of different networks that have roughly the same average level of performance.

Page 548: We can imagine no recommendation for using the government to manipulate fertility that does not have dangers. But this highlights the problem: The United States already has policies that inadvertently social-engineer who has babies, and it is encouraging the wrong women. If the United States did as much to encourage high-IQ women to have babies as it now does to encourage low-IQ women, it would rightly be described as engaging in aggressive manipulation of fertility. The technically precise description of America's fertility policy is that it subsidizes births among poor women, who are also disproportionately at the low end of the intelligence distribution. We urge generally that these policies, represented by the extensive network of cash and services for low-income women who have babies, be ended.

Search engines and social networks are analog computers of unprecedented scale. Information is being encoded (and operated upon) as continuous (and noise-tolerant) variables such as frequencies (of connection or occurrence) and the topology of what connects where, with location being increasingly defined by a fault-tolerant template rather than by an unforgiving numerical address. Pulse-frequency coding for the Internet is one way to describe the working architecture of a search engine, and PageRank for neurons is one way to describe the working architecture of the brain. These computational structures use digital components, but the analog computing being performed by the system as a whole exceeds the complexity of the digital code on which it runs. The model (of the social graph, or of human knowledge) constructs and updates itself.

In 2018 the common person feels increasingly irrelevant. Lots of mysterious words are bandied around excitedly in TED Talks, government think tanks, and high-tech conferences—globalization, blockchain, genetic engineering, artificial intelligence, machine learning—and common people may well suspect that none of these words are about them. The liberal story was the story of ordinary people. How can it remain relevant to a world of cyborgs and networked algorithms? In the twentieth century, the masses revolted against exploitation and sought to translate their vital role in the economy into political power. Now the masses fear irrelevance, and they are frantic to use their remaining political power before it is too late. Brexit and the rise of Trump might therefore demonstrate a trajectory opposite to that of traditional socialist revolutions.

Two years later, DeepMind engineers used what they had learned from game playing to solve an economic problem of vital interest: How should Google optimize the management of its computer servers? The artificial neural network remained similar; the only things that changed were the inputs (date, time, weather, international events, search requests, number of people connected to each server, etc.), the outputs (turn on or off this or that server on various continents), and the reward function (consume less energy). The result was an instant drop in power consumption. Google reduced its energy bill by up to 40 percent and saved tens of millions of dollars—even after myriad specialized engineers had already tried to optimize those very servers. Artificial intelligence has truly reached levels of success that can turn whole industries upside down.

We like to think of ourselves as immune from influence or our cognitive biases, because we want to feel like we are in control, but industries like alcohol, tobacco, fast food, and gaming all know we are creatures that are subject to cognitive and emotional vulnerabilities. And tech has caught on to this with its research into “user experience,” “gamification,” “growth hacking,” and “engagement” by activating ludic loops and reinforcement schedules in the same way slot machines do. So far, this gamification has been contained to social media and digital platforms, but what will happen as we further integrate our lives with networked information architectures designed to exploit evolutionary flaws in our cognition? Do we really want to live in a “gamified” environment that engineers our obsessions and plays with our lives as if we are inside its game?

For every one member of the elite, thousands more were illiterate and impoverished subsistence farmers. After the ‘collapse of civilisation’, many of them moved elsewhere, and some may have died, but for the most part their lives probably did not change much. They went on growing crops. Those people were your ancestors and mine—not the palace-dwellers, but the peasants. Our rich and complex international networks of production and distribution have come to an end before, but here we are, you and I, and here is humanity. What if the meaning of life on earth is not eternal progress toward some unspecified goal—the engineering and production of more and more powerful technologies, the development of more and more complex and abstruse cultural forms? What if these things just rise and recede naturally, like tides, while the meaning of life remains the same always—just to live and be with other people?

The current narrative we seem to tell ourselves about our privacy is that it is a sort of currency we trade to corporations in return for innovation. But the corporation has an insatiable appetite for our most personal data in order to drive us to consume during our every waking moment. I think this is critical, because in some ways social networks are powerful engines of conformity. The ability for students to develop their own ideas, identities, and political affiliations should take place outside of the panopticon view of Facebook, but whether this is any longer possible is an open question. My own memory is that the development of my political and cultural persona between the ages of fifteen and twenty-one had a lot to do with being outside the zone of judgment of my parents, their conservative peers from my hometown, Cleveland, and maybe even from my siblings. I’m not sure that it could happen if we were all on Facebook together.

The media environment... has changed in ways that foster [social and cultural] division. Long gone is the time when everybody watched one of three national television networks. By the 1990s there was a cable news channel for most points on the political spectrum, and by the early 2000s there was a website or discussion group for every conceivable interest group and grievance. By the 2010s most Americans were using social media sites like Facebook and Twitter, which make it easy to encase oneself within an echo-chamber. And then there's the "filter bubble," in which search engines and YouTube algorithms are designed to give you more of what you seem to be interested in, leading conservatives and progressives into disconnected moral matrices backed up by mutually contradictory informational worlds. Both the physical and the electronic isolation from people we disagree with allow the forces of confirmation bias, groupthink, and tribalism to push us still further apart.

A convivial society should be designed to allow all its members the most autonomous action by means of tools least controlled by others. People feel joy, as opposed to mere pleasure, to the extent that their activities are creative; while the growth of tools beyond a certain point increases regimentation, dependence, exploitation, and impotence. I use the term "tool" broadly enough to include not only simple hardware such as drills, pots, syringes, brooms, building elements, or motors, and not just large machines like cars or power stations; I also include among tools productive institutions such as factories that produce tangible commodities like corn flakes or electric current, and productive systems for intangible commodities such as those which produce "education," "health," "knowledge," or "decisions." I use this term because it allows me to subsume into one category all rationally designed devices, be they artifacts or rules, codes or operators, and to distinguish all these planned and engineered instrumentalities from other things such as basic food or implements, which in a given culture are not deemed to be subject to rationalization. School curricula or marriage laws are no less purposely shaped social devices than road networks. 5

out of informal learning communities if they fail to meet our needs; we enjoy no such mobility in our relations to formal education. Affinity spaces are also highly generative environments from which new aesthetic experiments and innovations emerge. A 2005 report on The Future of Independent Media argued that this kind of grassroots creativity was an important engine of cultural transformation: The media landscape will be reshaped by the bottom-up energy of media created by amateurs and hobbyists as a matter of course. This bottom-up energy will generate enormous creativity, but it will also tear apart some of the categories that organize the lives and work of media makers.... A new generation of media-makers and viewers are emerging which could lead to a sea change in how media is made and consumed.12 This report celebrates a world in which everyone has access to the means of creative expression and the networks supporting artistic distribution. The Pew study suggests something more: young people who create and circulate their own media are more likely to respect the intellectual property rights of others because they feel a greater stake in the cultural economy.13 Both reports suggest we are moving away from a world in which some produce and many consume media toward one in which everyone has a

We are striving to engineer the internet of all things in hope to make us healthy, happy and powerful. Yet once the internet of all things is up and running, we might be reduced from engineers to chips then to data and eventually, we might dissolve within the data torrent like a clamp of earth within a gushing river. Dataism, thereby, threatens to do to Homo sapiens what Homo sapiens has done to all other animals. In the course of history, humans have created a global network and evaluated everything according to its function within the network. For thousands of years this boosted human pride and prejudices. Since humans fulfilled the most important function in the network, it was easy for us to take credit for the network’s achievements and to see ourselves as the apex of creation. The lives and experiences of all other animals were undervalued because they fulfilled far less important functions. And whenever an animal ceased to fulfil any function at all it went extinct. However, once humans loose their functional importance to the network, we’ll discover that we are not the apex of creation after all. The yardsticks that we ourselves have enshrined will condemn us to join the mammoths and the Chinese river dolphins in oblivion. Looking back, humanity will turn out to be just a ripple within the cosmic data flow.

When General Genius built the first mentar [Artificial Intelligence] mind in the last half of the twenty-first century, it based its design on the only proven conscious material then known, namely, our brains. Specifically, the complex structure of our synaptic network. Scientists substituted an electrochemical substrate for our slower, messier biological one. Our brains are an evolutionary hodgepodge of newer structures built on top of more ancient ones, a jury-rigged system that has gotten us this far, despite its inefficiency, but was crying out for a top-to-bottom overhaul. Or so the General genius engineers presumed. One of their chief goals was to make minds as portable as possible, to be easily transferred, stored, and active in multiple media: electronic, chemical, photonic, you name it. Thus there didn't seem to be a need for a mentar body, only for interchangeable containers. They designed the mentar mind to be as fungible as a bank transfer. And so they eliminated our most ancient brain structures for regulating metabolic functions, and they adapted our sensory/motor networks to the control of peripherals. As it turns out, intelligence is not limited to neural networks, Merrill. Indeed, half of human intelligence resides in our bodies outside our skulls. This was intelligence the mentars never inherited from us. ... The genius of the irrational... ... We gave them only rational functions -- the ability to think and feel, but no irrational functions... Have you ever been in a tight situation where you relied on your 'gut instinct'? This is the body's intelligence, not the mind's. Every living cell possesses it. The mentar substrate has no indomitable will to survive, but ours does. Likewise, mentars have no 'fire in the belly,' but we do. They don't experience pure avarice or greed or pride. They're not very curious, or playful, or proud. They lack a sense of wonder and spirit of adventure. They have little initiative. Granted, their cognition is miraculous, but their personalities are rather pedantic. But probably their chief shortcoming is the lack of intuition. Of all the irrational faculties, intuition in the most powerful. Some say intuition transcends space-time. Have you ever heard of a mentar having a lucky hunch? They can bring incredible amounts of cognitive and computational power to bear on a seemingly intractable problem, only to see a dumb human with a lucky hunch walk away with the prize every time. Then there's luck itself. Some people have it, most don't, and no mentar does. So this makes them want our bodies... Our bodies, ape bodies, dog bodies, jellyfish bodies. They've tried them all. Every cell knows some neat tricks or survival, but the problem with cellular knowledge is that it's not at all fungible; nor are our memories. We're pretty much trapped in our containers.

A legacy of plunder, a network of laws and traditions, a heritage, a Dream, murdered Prince Jones as sure as it murders black people in North Lawndale with frightening regularity. “Black-on-black crime” is jargon, violence to language, which vanishes the men who engineered the covenants, who fixed the loans, who planned the projects, who built the streets and sold red ink by the barrel. And this should not surprise us. The plunder of black life was drilled into this country in its infancy and reinforced across its history, so that plunder has become an heirloom, an intelligence, a sentience, a default setting to which, likely to the end of our days, we must invariably return. The killing fields of Chicago, of Baltimore, of Detroit, were created by the policy of Dreamers, but their weight, their shame, rests solely upon those who are dying in them. There is a great deception in this. To yell “black-on-black crime” is to shoot a man and then shame him for bleeding. And the premise that allows for these killing fields—the reduction of the black body—is no different than the premise that allowed for the murder of Prince Jones. The Dream of acting white, of talking white, of being white, murdered Prince Jones as sure as it murders black people in Chicago with frightening regularity. Do not accept the lie. Do not drink from poison. The same hands that drew red lines around the life of Prince Jones drew red lines around the ghetto.

The same effort to conserve force was also evident in war, at the tactical level. The ideal Roman general was not a figure in the heroic style, leading his troops in a reckless charge to victory or death. He would rather advance in a slow and carefully prepared march, building supply roads behind him and fortified camps each night in order to avoid the unpredictable risks of rapid maneuver. He preferred to let the enemy retreat into fortified positions rather than accept the inevitable losses of open warfare, and he would wait to starve out the enemy in a prolonged siege rather than suffer great casualties in taking the fortifications by storm. Overcoming the spirit of a culture still infused with Greek martial ideals (that most reckless of men, Alexander the Great, was actually an object of worship in many Roman households), the great generals of Rome were noted for their extreme caution. It is precisely this aspect of Roman tactics (in addition to the heavy reliance on combat engineering) that explains the relentless quality of Roman armies on the move, as well as their peculiar resilience in adversity: the Romans won their victories slowly, but they were very hard to defeat. Just as the Romans had apparently no need of a Clausewitz to subject their military energies to the discipline of political goals, it seems that they had no need of modern analytical techniques either. Innocent of the science of systems analysis, the Romans nevertheless designed and built large and complex security systems that successfully integrated troop deployments, fixed defenses, road networks, and signaling links in a coherent whole.

Can a reasonable man ever truly question the nobility of the heat engine he calls his body? What option does he have but to heap praise on his form, to self-adore, to admire, and to hold it up as the greatest statement of beauty in a beautiful garden? What, though, is to be admired in such a frighteningly fragile machine; a perilously needy contraption laced with kilometres of liquid and electrical conduits prone to leaks, rot, clogs, and short-circuits? What is there to be proud of in a machine that has an eight hour battery life and is predetermined to spend half its existence in a defenceless, catatonic coma? What is to be revered in a mechanism let loose in a sealed off room where almost everything—including its single source of light and warmth—makes it sick, but whose immune system functions by late entry crisis-response imitation? Where is the awe in a contrivance that freezes and dies if placed a little over here, or overheats and dies if placed a little over there? Where is the wonder in an instrument that is crushed to a pulp if dropped a little down there, or boiled away to nothing if lifted a little up there? Where is the marvel in an appliance where three-quarters of the planet’s surface will drown it, and three-quarters of the atmosphere will asphyxiate it? What is there to be cherished in a machine born innately greedy and so utterly useless that it has to wait three years for its neural networks to hook-up and come online before it even begins to get a hint of who or even what it is, and only then can it start to relearn absolutely everything its forebears had already bothered to learn? Where is the artistry in a thinking engine whose sweetest fuel can only be embezzled from other thinking engines?

Like any place in Reality, the Street is subject to development. Developers can build their own small streets feeding off of the main one. They can build buildings, parks, signs, as well as things that do not exist in Reality, such as vast hovering overhead light shows, special neighborhoods where the rules of three-dimensional spacetime are ignored, and free-combat zones where people can go to hunt and kill each other. The only difference is that since the Street does not really exist -- it's just a computer-graphics protocol written down on a piece of paper somewhere -- none of these things is being physically built. They are, rather, pieces of software, made available to the public over the worldwide fiber-optics network. When Hiro goes into the Metaverse and looks down the Street and sees buildings and electric signs stretching off into the darkness, disappearing over the curve of the globe, he is actually staring at the graphic representations -- the user interfaces -- of a myriad different pieces of software that have been engineered by major corporations. In order to place these things on the Street, they have had to get approval from the Global Multimedia Protocol Group, have had to buy frontage on the Street, get zoning approval, obtain permits, bribe inspectors, the whole bit. The money these corporations pay to build things on the Street all goes into a trust fund owned and operated by the GMPG, which pays for developing and expanding the machinery that enables the Street to exist. Hiro has a house in a neighborhood just off the busiest part of the Street. it is a very old neighborhood by Street standards. About ten years ago, when the Street protocol was first written, Hiro and some of his buddies pooled their money and bought one of the first development licenses, created a little neighborhood of hackers. At the time, it was just a little patchwork of light amid a vast blackness. Back then, the Street was just a necklace of streetlights around a black ball in space. Since then, the neighborhood hasn't changed much, but the Street has. By getting in on it early, Hiro's buddies got a head start on the whole business. Some of them even got very rich off of it. That's why Hiro has a nice big house in the Metaverse but has to share a 20-by- 30 in Reality. Real estate acumen does not always extend across universes.

The most successful enterprises today are networks—which extract as little value as possible so they can grow as big as possible—and the platforms on which those networks are built.

The creation groans from all the pain and sorrow that surrounds us. We have a strong sense that life is not the way it’s supposed to be.[4] We cry out at injustices, rail against inequalities, long for things to get fixed. The long march for racial, gender, and economic equality is an ongoing struggle. Progress is rare. When it comes to electronics, the advances seem to arrive on a regular basis. Every holiday season, we’re greeted by upgrades, by a new network from 3G to 4G to 5G. Products make progress seem easy and inevitable. The hard work of design and engineering is hidden. Yet, even the latest, greatest technology breaks down. Unfortunately, we don’t know how to fix our gadgets. The mechanics that drive our devices often defy our comprehension. We toss out our old computers and cell phones, and we embrace the new and improved. Replacing isn’t the same as redeeming.

It was possible to look at actual smartphones and tablets and laptops that had been manufactured on Old Earth. They did not work anymore, but their technical capabilities were described on little placards. And they were impressive compared to what Kath Two and other modern people carried around in their pockets. This ran contrary to most people's intuition, since in other areas the achievements of the modern world - the habitat ring, the Eye, and all the rest - were so vastly greater than what the people of Old Earth had ever accomplished. It boiled down to Amistics [the choices that different cultures made as to which technologies they would, and would not, make part of their lives]. In the decades before Zero, the Old Earthers had focused their intelligence on the small and the soft, not the big and the hard, and built a civilization that was puny and crumbling where physical infrastructure was concerned, but astonishingly sophisticated when it came to networked communications and software. The density with which they'd been able to pack transistors onto chips still had not been matched by any fabrication plant now in existence. Their devices could hold more data than anything you could buy today. Their ability to communicate through all sorts of wireless schemes was only now being matched - and that only in densely populated, affluent places like the Great Chain... Anyone who bothered to learn the history of the developed world in the years just before Zero understood perfectly well that Tavistock Prowse had been squarely in the middle of the normal range, as far as his social media habits and attention span had been concerned. But nevertheless, Blues called it Tav's Mistake. They didn't want to make it again. Any efforts made by modern consumer-goods manufacturers to produce the kinds of devices and apps that had disordered the brain of Tav were met with the same instinctive pushback as Victorian clergy might have directed against the inventor of a masturbation machine. To the extent the Blue's engineers could build electronics of comparable sophistication to those that Tav had used, they tended to put them into devices such as robots...

Web 2.0 is our code word for the analog increasingly supervening upon the digital—reversing how digital logic was embedded in analog components, sixty years ago. Search engines and social networks are just the beginning—the Precambrian phase.

As we thought about what would make us both better and different, two core ideas greatly influenced our thinking: First, technical founders are the best people to run technology companies. All of the long-lasting technology companies that we admired—Hewlett-Packard, Intel, Amazon, Apple, Google, Facebook—had been run by their founders. More specifically, the innovator was running the company. Second, it was incredibly difficult for technical founders to learn to become CEOs while building their companies. I was a testament to that. But, most venture capital firms were better designed to replace the founder than to help the founder grow and succeed. Marc and I thought that if we created a firm specifically designed to help technical founders run their own companies, we could develop a reputation and a brand that might vault us into the top tier of venture capital firms despite having no track record. We identified two key deficits that a founder CEO had when compared with a professional CEO: 1. The CEO skill set Managing executives, organizational design, running sales organizations and the like were all important skills that technical founders lacked. 2. The CEO network Professional CEOs knew lots of executives, potential customers and partners, people in the press, investors, and other important business connections. Technical founders, on the other hand, knew some good engineers and how to program.

If I can reach further, it is by connecting with influential nodes

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.

What is it in the Nehru-Gandhi family that compels them to anoint only immediate family members as alter egos or heirs apparent? Obviously, their secrets regarding their political and financial misdeeds are such that there is no substitute for immediate family when it comes to trust and protection. The keys to the treasury must always be held by them, the keys to secret cupboards containing their corruption files must never be lost—be it the Bofors case, foreign bank accounts, or smuggling of antiquities, to name a few. Hence, the need for an inner circle of family confidants, a second circle of trusted coteries, and an outer circle of sycophants and hangers-on, who are given blandishments and retainers to keep the inner circle protected and take the blame; or do a cover-up job whenever the need arises. When not in power, these coteries and sycophants must engineer and activate cover-up networks, to hush up or obfuscate any exposures. Dynasty converts all the resources and tools of democracy towards achieving these ends, and perpetuate its continuance, while fooling the nation through homilies on transparency and zero tolerance to corruption.

When bitcoin was created by Satoshi Nakamoto, the software was actually completed before the whitepaper reproduced in Appendix A was written. Satoshi wanted to make sure it worked before writing about it. That first implementation, then simply known as “Bitcoin” or “Satoshi client,” has been heavily modified and improved. It has evolved into what is known as Bitcoin Core, to differentiate it from other compatible implementations. Bitcoin Core is the reference implementation of the bitcoin system, meaning that it is the authoritative reference on how each part of the technology should be implemented. Bitcoin Core implements all aspects of bitcoin, including wallets, a transaction and block validation engine, and a full network node in the peer-to-peer bitcoin network.

As we get older, excessive protein causes the cell to turn a blind eye to aging. But limiting it triggers a beautifully orchestrated network of internal processes that wards off disease, stretching out life and increasing the probability of exercising nature’s imperative to reproduce. I put all this and more into a talk I gave in 2006 titled “Protein—the Good, the Bad, and the Ugly,” which is available online if you type the title into a search engine.

I was once driven north along Central Park, all the way from Chinatown. We hailed the cab in front of a building where Orthodox Jews still lived, so they shut down an elevator on Saturdays. In the taxi, I was with my mother. We were visiting her aunt, my great aunt, who was 93. She had no memory of the old country, Lithuania, but she'd been born there. Her parents escaped the pogroms so she could survived a century here. Her American prosperity was half a century of subsistence wages and thirty years of Medicare in an elevator building. The old country for the cab driver was Bangladesh, and he was a talker. He'd just graduated from college, and his prospects were good. He'd majored in a practical field, network engineering or something like that. Young and optimistic, he spoke fluent English. His big idea was to keep his countrymen out of the United States. America was great, but if he got overrun with foreigners, his kind in particular, it would be ruined. "Bangladesh is hot and crowded. Why would want to make America like that." He said this in all sincerity.

AS A KID GROWING UP IN A RURAL PENNSYLVANIA COAL COUNTRY in the 1930s and 1940s, Bill McGowan never dreamed of a career as a businessman, unaware that such a profession even existed. The son of a railroad engineer and a schoolteacher, McGowan got his first glimpse of the wider world during a three-year stint in the U.S. Army in postwar Europe, after which he returned home to complete an undergraduate degree in chemistry at King’s College in Wilkes-Barre, Pennsylvania. McGowan excelled at chemistry, thanks to his talent for comprehending the rules of complex systems, but found little joy in the subject. His plans for a career in medicine left him similarly lukewarm. One King’s College professor surmised the gregarious, hyper-analytical student’s true calling and suggested he apply for a seat in Harvard Business School’s class of 1954.

The Ultimate Guide To SEO In The 21st Century Search engine optimization is a complex and ever changing method of getting your business the exposure that you need to make sales and to build a solid reputation on line. To many people, the algorithms involved in SEO are cryptic, but the basic principle behind them is impossible to ignore if you are doing any kind of business on the internet. This article will help you solve the SEO puzzle and guide you through it, with some very practical advice! To increase your website or blog traffic, post it in one place (e.g. to your blog or site), then work your social networking sites to build visibility and backlinks to where your content is posted. Facebook, Twitter, Digg and other news feeds are great tools to use that will significantly raise the profile of your pages. An important part of starting a new business in today's highly technological world is creating a professional website, and ensuring that potential customers can easily find it is increased with the aid of effective search optimization techniques. Using relevant keywords in your URL makes it easier for people to search for your business and to remember the URL. A title tag for each page on your site informs both search engines and customers of the subject of the page while a meta description tag allows you to include a brief description of the page that may show up on web search results. A site map helps customers navigate your website, but you should also create a separate XML Sitemap file to help search engines find your pages. While these are just a few of the basic recommendations to get you started, there are many more techniques you can employ to drive customers to your website instead of driving them away with irrelevant search results. One sure way to increase traffic to your website, is to check the traffic statistics for the most popular search engine keywords that are currently bringing visitors to your site. Use those search words as subjects for your next few posts, as they represent trending topics with proven interest to your visitors. Ask for help, or better yet, search for it. There are hundreds of websites available that offer innovative expertise on optimizing your search engine hits. Take advantage of them! Research the best and most current methods to keep your site running smoothly and to learn how not to get caught up in tricks that don't really work. For the most optimal search engine optimization, stay away from Flash websites. While Google has improved its ability to read text within Flash files, it is still an imperfect science. For instance, any text that is part of an image file in your Flash website will not be read by Google or indexed. For the best SEO results, stick with HTML or HTML5. You have probably read a few ideas in this article that you would have never thought of, in your approach to search engine optimization. That is the nature of the business, full of tips and tricks that you either learn the hard way or from others who have been there and are willing to share! Hopefully, this article has shown you how to succeed, while making fewer of those mistakes and in turn, quickened your path to achievement in search engine optimization!

In the real-time pressure of a lunar landing, an extensive social network of engineers focused on two men and a computer in an air-conditioned bubble, sitting on top of a rocket engine with a telescope and a control stick.

Accelerating Technological Advancement Two “laws” help explain the extraordinary changes wrought by the global adoption of the internet. The first is Moore’s Law, named for Gordon Moore, an Intel cofounder. In the 1960s, he observed that the number of transistors that could be squeezed into a single chip was increasing at a predictable rate—doubling about every eighteen months. Thanks to billions of dollars in R&D and engineering investment, that rate of improvement has held ever since. The second law is named after Bob Metcalfe, the inventor of Ethernet, one of the protocols foundational to the internet. Metcalfe posited that the value of a network is equal to the number of connections between users, not just the number of users. Bigger is better, and better, and better. These laws help us quantify something we can see in our online experience: both the power of our devices and the value of the network they’re attached to are millions of times greater than they were at the dawn of the internet era. Plotting this growth reveals an interesting twist, however. For the past thirty years, the value of the internet as described by Metcalfe’s Law has increased more than processing power has improved. But as internet penetration slows, so does the rate of increase in the value of the internet. Meanwhile, Moore’s Law chugs along, suggesting that we may be approaching an inflection point, when changes to our online experience are driven more by technological advancement than by the ever-growing number of online connections.

The first academic paper describing deep learning dates all the way back to 1967. It took almost fifty years for this technology to blossom. The reason it took so long is that deep learning requires large amounts of data and computing power for training the artificial neural network. If computing power is the engine of AI, data is the fuel. Only in the last decade has computing become fast enough and data sufficiently plentiful. Today, your smartphone holds millions of times more processing power than the NASA computers that sent Neil Armstrong to the moon in 1969. Similarly, the Internet of 2020 is almost one trillion times larger than the Internet of 1995.

I tried to write this story with a fast pace, tons of action and emotional drama, while sprinkling in engineering and economic facts here and there to help educate you, the reader, of the inner-workings of what it would actually take to roll out a real-life self-driving network.

Jake designed the self-driving network to save lives, but some bastard had gone and weaponized the damn thing.

Cloud computing is the on-demand availability of computing resources—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet.

To test that prediction, we needed empirical examples. They weren’t easy to find. Any candidate had to be fully characterized, its wiring diagram known down to the last detail, every node and link documented, or we couldn’t calculate the clustering and average path length. Then I remembered that Koeunyi Bae, a student in my chaos course the year before, had done a project about the Western States power grid, a collection of about 5,000 electric power plants tied together by high-voltage transmission lines across the states west of the Rocky Mountains and into the western provinces of Canada. Koeunyi and her adviser Jim Thorp provided the data to Duncan. It contained a great deal of detailed information that an engineer would find crucial—the voltage capacity of the transmission lines, the classification of the nodes as transformers, substations, or generators—but we ignored everything except the connectivity. The grid became an abstract pattern of dots connected by lines. To check whether it was a small-world network, we compared its clustering and average path length to the corresponding values for a random network with the same number of nodes and links. As predicted, the real network was almost as small as a random one, but much more highly clustered. Specifically, the path length was only 1.5 times larger than random, whereas the clustering was 16 times larger.

Mosaic also marked a new stage in the evolution of the power law. Venture-capital returns are dominated by grand slams partly because of the dynamics of startups: most young businesses fail, but the ones that gain traction can grow exponentially. This is true of fashion brands or hotel chains as well as technology companies. But tech-focused venture portfolios are dominated by the power law for an additional reason: tech startups are founded upon technologies that may themselves progress exponentially. Because of his experience and temperament, Doerr was especially attuned to this phenomenon. As a young engineer at Intel, he had seen how Moore’s law transformed the value of companies that used semiconductors: the power of chips was doubling every two years, so startups that put them to good use could make better, cheaper products. For any given modem, digital watch, or personal computer, the cost of the semiconductors inside the engine would fall by 50 percent in two years, 75 percent in four years, and 87.5 percent in eight. With that sort of wind at a tech startup’s back, no wonder profits could grow exponentially. Mosaic, and the internet more generally, turbocharged this phenomenon. Again, Doerr grasped this better than most others. As well as working at Intel, he had known Bob Metcalfe, so he understood that Metcalfe’s law was even more explosive than Moore’s law. Rather than merely doubling in power every two years, as semiconductors did, the value of a network would rise as the square of the number of users.[70] Progress would thus be quadratic rather than merely exponential; something that keeps on squaring will soon grow a lot faster than something that keeps on doubling. Moreover, progress would not be tethered to the passage of time; it would be a function of the number of users. At the moment when Doerr met Clark, the number of internet users was about to triple over the next two years, meaning that the value of the network would jump ninefold, an effect massively more powerful than the mere doubling in the power of semiconductors over that same period. What’s more, Metcalfe’s law was not supplanting Moore’s law, which would have been dramatic enough. Rather, it was compounding it. The explosion of internet traffic would be fueled both by its rapid growth in usefulness (Metcalfe’s law) and by the falling cost of modems and computers (Moore’s law).[71] After listening to Clark’s pitch, Doerr was determined to invest. A magical browser that attracted millions to the internet had almost limitless potential. The price Doerr had to pay was secondary.

But they’re just software! Software based on fucking lobsters, for God’s sake! I’m not even sure they are sentient—I mean, they’re, what, a ten-million-neuron network hooked up to a syntax engine and a crappy knowledge base? What kind of basis for intelligence is that?

Create content for your audience instead of search engines. The audience buys your products, not the search engine.

Concepts from matching theory, auction theory, monetary economics, allocation theory, network economics and game theory can help design better and stronger incentives for participants. These concepts help to produce robust stable outcomes, improve inefficient allocations, and improve the efficiency of transactions within the ecosystem.

AT&T engineers, most of whom had spent a lifetime perfecting their circuit-switching network, found Baran’s packet-switching concept ludicrous

Yet as we know, PayPal triumphed over Billpoint, leading eBay to purchase PayPal for over $1.5 billion. One of the key factors was PayPal’s superior use of network intelligence. Reid led this intelligence-gathering effort for PayPal (he was executive vice president at the time) and asked all the members of the team, from executives to individual engineers, to use their network intelligence to learn about Billpoint’s strategy. Billpoint’s team, on the other hand, completely ignored the potential for network intelligence to provide insights into PayPal’s strategy.

Resilience versus Robustness. Typically when we want to improve a system’s ability to avoid outages, handle failures gracefully when they occur and recover quickly when they happen, we often talk about resilience. (…) Robustness is the ability of a system that is able to react to expected variations, Resilience is having an organisation capable of adapting to things that have not been thought of, which could very well include creating a culture of experimentation through things like chaos engineering. For example, we are aware a specific machine could die, so we might bring redundancy into our system by load-balancing an instance, that is an example of addressing Robustness. Resiliency is the process of an organisation preparing itself to the fact that it cannot anticipate all potential problems. An important consideration here is that microservices do not necessarily give you robustness for free, rather they open up opportunities to design a system in such a way that it can better tolerate network partitions, service outages, and the like. Just spreading your functionality over multiple separate processed and separate machines does not guarantee improved robustness, quite the contrary, it may just increase your surface area of failure.

The world in which we live has always been significantly shaped by civil engineering. A Btech in civil engineering has made it feasible to plan and build the physical infrastructure that underpins modern society, from imposing buildings to complex transit networks. The discipline of civil engineering is positioned to experience substantial breakthroughs and changes in the future. In this blog, we'll look at five forecasts that provide a view into the future of btech in civil engineering and how it will affect our lives.

We can see now that information is what our world runs on: the blood and the fuel, the vital principle. It pervades the sciences from top to bottom, transforming every branch of knowledge. Information theory began as a bridge from mathematics to electrical engineering and from there to computing. What English speakers call “computer science” Europeans have known as informatique, informatica, and Informatik. Now even biology has become an information science, a subject of messages, instructions, and code. Genes encapsulate information and enable procedures for reading it in and writing it out. Life spreads by networking. The body itself is an information processor. Memory resides not just in brains but in every cell. No wonder genetics bloomed along with information theory. DNA is the quintessential information molecule, the most advanced message processor at the cellular level—an alphabet and a code, 6 billion bits to form a human being. “What lies at the heart of every living thing is not a fire, not warm breath, not a ‘spark of life,’ ” declares the evolutionary theorist Richard Dawkins. “It is information, words, instructions.… If you want to understand life, don’t think about vibrant, throbbing gels and oozes, think about information technology.” The cells of an organism are nodes in a richly interwoven communications network, transmitting and receiving, coding and decoding. Evolution itself embodies an ongoing exchange of information between organism and environment.

History is how you debug our broken society. Many billions of dollars are spent on history in the engineering world. We don’t think about it that way, though. We call it doing a post-mortem, looking over the log files, maybe running a so-called time-travel debugger to get a reproducible bug. Once we find it, we might want to execute an undo, do a git revert, restore from backup, or return to a previously known-good configuration. Think about what we’re saying: on a micro-scale, knowing the detailed past of the system allows us to figure out what had gone wrong. And being able to partially rewind the past to progress along a different branch (via a git revert) empowers us to fix that wrongness. This doesn’t mean throwing away everything and returning to the caveman era of a blank git repository, as per either the caricatured traditionalist who wants to “turn back the clock” or the anarcho-primitivist who wants to end industrialized civilization. But it does mean rewinding a bit to then move forward along a different path16, because progress has both magnitude and direction.

In Brave’s case, the risk might be that the billion tokens it issued are treated like long-term investments, hoarded by investors who withhold them from circulation. In that case, the BATs’ value won’t accurately reflect the market for user attention. A critical mass of use, not holding, is needed. Brave’s model included a token-issuance strategy for dealing with that challenge. It set aside a 300 million–strong “user growth pool” to attract new users. There’s a plan, for example, to deliver a small amount of BATs to the integrated Brave wallet whenever there’s a unique new download of the browser. In this way, the token is designed as a tool to bootstrap adoption, to foster network effects. “Early on we saw this as something that would allow us to stake users with initial grants,” says Brave CEO Brendan Eich. The strategy was shaped by Eich’s decades in Silicon Valley, where the veteran engineer created the ubiquitous Web programming language JavaScript in the nineties and later went on to co-found browser developer Mozilla. Over time, he realized that venture capitalists were reluctant to fund the marketing cost of acquiring users and that tapping new equity or debt to do so was dilutive to the founders’ and early investors’ ownership stakes. “But with a token, it can be disbursed to users without credit consequences,” he adds, arguing that by contrast to a dollar’s worth of equity or debt, “the BAT is a social credit currency; it doesn’t have this inflationary property.

For some, there may be a kind of engineer’s satisfaction in the streamlining and networking of our entire lived experience. And yet a certain nervous feeling, of being overstimulated and unable to sustain a train of thought, lingers.

The mobile industry quickly developed, and lawyers, investment bankers, consultants and contractors offered their services. The feeling of ownership of the projects and the effort of getting networks up and running within the shortest possible time span was gigantic. Engineers slept in their cars to make sure that they could start early mornings, ‘war rooms’ were kitted out with huge maps, project timelines, pictures and milestone markers. Contests ongoing between different teams in the specific country regions where we were building. Employing a thousand people in no time and generating work for tenfold that number; network and other suppliers, construction companies, distributors, retailers and other often highly skilled third parties.

Scientists have been exploring the medical mysteries of the human heart for almost as long as poets have been probing its metaphorical depths. It is a wondrous organ, a tireless muscle that pumps blood around the body every moment of our lives. It pounds hard when we are exercising, slows down when we sleep, and even microadjusts its rate between beats, a hugely important phenomenon called heart rate variability. And when it stops, we stop. Our vascular network is equally miraculous, a web of veins, arteries, and capillaries that, if stretched out and laid end to end, would wrap around the earth more than twice (about sixty thousand miles, if you’re keeping score). Each individual blood vessel is a marvel of material science and engineering, capable of expanding and contracting dozens of times per minute, allowing vital substances to pass through its membranes, and accommodating huge swings in fluid pressure, with minimal fatigue. No material created by man can even come close to matching this.