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Unlike the drum language, which was based on spoken language, the optical telegraph was based on written French. Chappe invented an elaborate coding system to translate written messages into optical signals. Chappe had the opposite problem from the drummers. The drummers had a fast transmission system with ambiguous messages. They needed to slow down the transmission to make the messages unambiguous. Chappe had a painfully slow transmission system with redundant messages. The French language, like most alphabetic languages, is highly redundant, using many more letters than are needed to convey the meaning of a message. Chappe’s coding system allowed messages to be transmitted faster. Many common phrases and proper names were encoded by only two optical symbols, with a substantial gain in speed of transmission. The composer and the reader of the message had code books listing the message codes for eight thousand phrases and names. For Napoleon it was an advantage to have a code that was effectively cryptographic, keeping the content of the messages secret from citizens along the route.

After these two historical examples of rapid communication in Africa and France, the rest of Gleick’s book is about the modern development of information technolog

The modern history is dominated by two Americans, Samuel Morse and Claude Shannon. Samuel Morse was the inventor of Morse Code. He was also one of the pioneers who built a telegraph system using electricity conducted through wires instead of optical pointers deployed on towers. Morse launched his electric telegraph in 1838 and perfected the code in 1844. His code used short and long pulses of electric current to represent letters of the alphabet.

Morse was ideologically at the opposite pole from Chappe. He was not interested in secrecy or in creating an instrument of government power. The Morse system was designed to be a profit-making enterprise, fast and cheap and available to everybody. At the beginning the price of a message was a quarter of a cent per letter. The most important users of the system were newspaper correspondents spreading news of local events to readers all over the world. Morse Code was simple enough that anyone could learn it. The system provided no secrecy to the users. If users wanted secrecy, they could invent their own secret codes and encipher their messages themselves. The price of a message in cipher was higher than the price of a message in plain text, because the telegraph operators could transcribe plain text faster. It was much easier to correct errors in plain text than in cipher.

Claude Shannon was the founding father of information theory. For a hundred years after the electric telegraph, other communication systems such as the telephone, radio, and television were invented and developed by engineers without any need for higher mathematics. Then Shannon supplied the theory to understand all of these systems together, defining information as an abstract quantity inherent in a telephone message or a television picture. Shannon brought higher mathematics into the game.

When Shannon was a boy growing up on a farm in Michigan, he built a homemade telegraph system using Morse Code. Messages were transmitted to friends on neighboring farms, using the barbed wire of their fences to conduct electric signals. When World War II began, Shannon became one of the pioneers of scientific cryptography, working on the high-level cryptographic telephone system that allowed Roosevelt and Churchill to talk to each other over a secure channel. Shannon’s friend Alan Turing was also working as a cryptographer at the same time, in the famous British Enigma project that successfully deciphered German military codes. The two pioneers met frequently when Turing visited New York in 1943, but they belonged to separate secret worlds and could not exchange ideas about cryptography.

In 1945 Shannon wrote a paper, “A Mathematical Theory of Cryptography,” which was stamped SECRET and never saw the light of day. He published in 1948 an expurgated version of the 1945 paper with the title “A Mathematical Theory of Communication.” The 1948 version appeared in the Bell System Technical Journal, the house journal of the Bell Telephone Laboratories, and became an instant classic. It is the founding document for the modern science of information. After Shannon, the technology of information raced ahead, with electronic computers, digital cameras, the Internet, and the World Wide Web.

According to Gleick, the impact of information on human affairs came in three installments: first the history, the thousands of years during which people created and exchanged information without the concept of measuring it; second the theory, first formulated by Shannon; third the flood, in which we now live

The event that made the flood plainly visible occurred in 1965, when Gordon Moore stated Moore’s Law. Moore was an electrical engineer, founder of the Intel Corporation, a company that manufactured components for computers and other electronic gadgets. His law said that the price of electronic components would decrease and their numbers would increase by a factor of two every eighteen months. This implied that the price would decrease and the numbers would increase by a factor of a hundred every decade. Moore’s prediction of continued growth has turned out to be astonishingly accurate during the forty-five years since he announced it. In these four and a half decades, the price has decreased and the numbers have increased by a factor of a billion, nine powers of ten. Nine powers of ten are enough to turn a trickle into a flood.

Gordon Moore was in the hardware business, making hardware components for electronic machines, and he stated his law as a law of growth for hardware. But the law applies also to the information that the hardware is designed to embody. The purpose of the hardware is to store and process information. The storage of information is called memory, and the processing of information is called computing. The consequence of Moore’s Law for information is that the price of memory and computing decreases and the available amount of memory and computing increases by a factor of a hundred every decade. The flood of hardware becomes a flood of information.

In 1949, one year after Shannon published the rules of information theory, he drew up a table of the various stores of memory that then existed. The biggest memory in his table was the US Library of Congress, which he estimated to contain one hundred trillion bits of information. That was at the time a fair guess at the sum total of recorded human knowledge. Today a memory disc drive storing that amount of information weighs a few pounds and can be bought for about a thousand dollars. Information, otherwise known as data, pours into memories of that size or larger, in government and business offices and scientific laboratories all over the world. Gleick quotes the computer scientist Jaron Lanier describing the effect of the flood: “It’s as if you kneel to plant the seed of a tree and it grows so fast that it swallows your whole town before you can even rise to your feet.”

On December 8, 2010, Gleick published on the The New York Review’s blog an illuminating essay, “The Information Palace.” It was written too late to be included in his book. It describes the historical changes of meaning of the word “information,” as recorded in the latest quarterly online revision of the Oxford English Dictionary. The word first appears in 1386 a parliamentary report with the meaning “denunciation.” The history ends with the modern usage, “information fatigue,” defined as “apathy, indifference or mental exhaustion arising from exposure to too much information.”

The consequences of the information flood are not all bad. One of the creative enterprises made possible by the flood is Wikipedia, started ten years ago by Jimmy Wales. Among my friends and acquaintances, everybody distrusts Wikipedia and everybody uses it. Distrust and productive use are not incompatible. Wikipedia is the ultimate open source repository of information. Everyone is free to read it and everyone is free to write it. It contains articles in 262 languages written by several million authors. The information that it contains is totally unreliable and surprisingly accurate. It is often unreliable because many of the authors are ignorant or careless. It is often accurate because the articles are edited and corrected by readers who are better informed than the authors

Jimmy Wales hoped when he started Wikipedia that the combination of enthusiastic volunteer writers with open source information technology would cause a revolution in human access to knowledge. The rate of growth of Wikipedia exceeded his wildest dreams. Within ten years it has become the biggest storehouse of information on the planet and the noisiest battleground of conflicting opinions. It illustrates Shannon’s law of reliable communication. Shannon’s law says that accurate transmission of information is possible in a communication system with a high level of noise. Even in the noisiest system, errors can be reliably corrected and accurate information transmitted, provided that the transmission is sufficiently redundant. That is, in a nutshell, how Wikipedia works.

The information flood has also brought enormous benefits to science. The public has a distorted view of science, because children are taught in school that science is a collection of firmly established truths. In fact, science is not a collection of truths. It is a continuing exploration of mysteries. Wherever we go exploring in the world around us, we find mysteries. Our planet is covered by continents and oceans whose origin we cannot explain. Our atmosphere is constantly stirred by poorly understood disturbances that we call weather and climate. The visible matter in the universe is outweighed by a much larger quantity of dark invisible matter that we do not understand at all. The origin of life is a total mystery, and so is the existence of human consciousness. We have no clear idea how the electrical discharges occurring in nerve cells in our brains are connected with our feelings and desires and actions.

Even physics, the most exact and most firmly established branch of science, is still full of mysteries. We do not know how much of Shannon’s theory of information will remain valid when quantum devices replace classical electric circuits as the carriers of information. Quantum devices may be made of single atoms or microscopic magnetic circuits. All that we know for sure is that they can theoretically do certain jobs that are beyond the reach of classical devices. Quantum computing is still an unexplored mystery on the frontier of information theory. Science is the sum total of a great multitude of mysteries. It is an unending argument between a great multitude of voices. It resembles Wikipedia much more than it resembles the Encyclopaedia Britannica.

The rapid growth of the flood of information in the last ten years made Wikipedia possible, and the same flood made twenty-first-century science possible. Twenty-first-century science is dominated by huge stores of information that we call databases. The information flood has made it easy and cheap to build databases. One example of a twenty-first-century database is the collection of genome sequences of living creatures belonging to various species from microbes to humans. Each genome contains the complete genetic information that shaped the creature to which it belongs. The genome data-base is rapidly growing and is available for scientists all over the world to explore. Its origin can be traced to the year 1939, when Shannon wrote his Ph.D. thesis with the title “An Algebra for Theoretical Genetics.

Shannon was then a graduate student in the mathematics department at MIT. He was only dimly aware of the possible physical embodiment of genetic information. The true physical embodiment of the genome is the double helix structure of DNA molecules, discovered by Francis Crick and James Watson fourteen years later. In 1939 Shannon understood that the basis of genetics must be information, and that the information must be coded in some abstract algebra independent of its physical embodiment. Without any knowledge of the double helix, he could not hope to guess the detailed structure of the genetic code. He could only imagine that in some distant future the genetic information would be decoded and collected in a giant database that would define the total diversity of living creatures. It took only sixty years for his dream to come true.

In the twentieth century, genomes of humans and other species were laboriously decoded and translated into sequences of letters in computer memories. The decoding and translation became cheaper and faster as time went on, the price decreasing and the speed increasing according to Moore’s Law. The first human genome took fifteen years to decode and cost about a billion dollars. Now a human genome can be decoded in a few weeks and costs a few thousand dollars. Around the year 2000, a turning point was reached, when it became cheaper to produce genetic information than to understand it. Now we can pass a piece of human DNA through a machine and rapidly read out the genetic information, but we cannot read out the meaning of the information. We shall not fully understand the information until we understand in detail the processes of embryonic development that the DNA orchestrated to make us what we are.

The explosive growth of information in our human society is a part of the slower growth of ordered structures in the evolution of life as a whole. Life has for billions of years been evolving with organisms and ecosystems embodying increasing amounts of information. The evolution of life is a part of the evolution of the universe, which also evolves with increasing amounts of information embodied in ordered structures, galaxies and stars and planetary systems. In the living and in the nonliving world, we see a growth of order, starting from the featureless and uniform gas of the early universe and producing the magnificent diversity of weird objects that we see in the sky and in the rain forest. Everywhere around us, wherever we look, we see evidence of increasing order and increasing information. The technology arising from Shannon’s discoveries is only a local acceleration of the natural growth of information.

. Lord Kelvin, one of the leading physicists of that time, promoted the heat death dogma, predicting that the flow of heat from warmer to cooler objects will result in a decrease of temperature differences everywhere, until all temperatures ultimately become equal. Life needs temperature differences, to avoid being stifled by its waste heat. So life will disappear

Thanks to the discoveries of astronomers in the twentieth century, we now know that the heat death is a myth. The heat death can never happen, and there is no paradox. The best popular account of the disappearance of the paradox is a chapter, “How Order Was Born of Chaos,” in the book Creation of the Universe, by Fang Lizhi and his wife Li Shuxian.2 Fang Lizhi is doubly famous as a leading Chinese astronomer and a leading political dissident. He is now pursuing his double career at the University of Arizona.

The belief in a heat death was based on an idea that I call the cooking rule. The cooking rule says that a piece of steak gets warmer when we put it on a hot grill. More generally, the rule says that any object gets warmer when it gains energy, and gets cooler when it loses energy. Humans have been cooking steaks for thousands of years, and nobody ever saw a steak get colder while cooking on a fire. The cooking rule is true for objects small enough for us to handle. If the cooking rule is always true, then Lord Kelvin’s argument for the heat death is correct.

the cooking rule is not true for objects of astronomical size, for which gravitation is the dominant form of energy. The sun is a familiar example. As the sun loses energy by radiation, it becomes hotter and not cooler. Since the sun is made of compressible gas squeezed by its own gravitation, loss of energy causes it to become smaller and denser, and the compression causes it to become hotter. For almost all astronomical objects, gravitation dominates, and they have the same unexpected behavior. Gravitation reverses the usual relation between energy and temperature. In the domain of astronomy, when heat flows from hotter to cooler objects, the hot objects get hotter and the cool objects get cooler. As a result, temperature differences in the astronomical universe tend to increase rather than decrease as time goes on. There is no final state of uniform temperature, and there is no heat death. Gravitation gives us a universe hospitable to life. Information and order can continue to grow for billions of years in the future, as they have evidently grown in the past.

The vision of the future as an infinite playground, with an unending sequence of mysteries to be understood by an unending sequence of players exploring an unending supply of information, is a glorious vision for scientists. Scientists find the vision attractive, since it gives them a purpose for their existence and an unending supply of jobs. The vision is less attractive to artists and writers and ordinary people. Ordinary people are more interested in friends and family than in science. Ordinary people may not welcome a future spent swimming in an unending flood of information.

A darker view of the information-dominated universe was described in a famous story, “The Library of Babel,” by Jorge Luis Borges in 1941.3 Borges imagined his library, with an infinite array of books and shelves and mirrors, as a metaphor for the universe.

Gleick’s book has an epilogue entitled “The Return of Meaning,” expressing the concerns of people who feel alienated from the prevailing scientific culture. The enormous success of information theory came from Shannon’s decision to separate information from meaning. His central dogma, “Meaning is irrelevant,” declared that information could be handled with greater freedom if it was treated as a mathematical abstraction independent of meaning. The consequence of this freedom is the flood of information in which we are drowning. The immense size of modern databases gives us a feeling of meaninglessness. Information in such quantities reminds us of Borges’s library extending infinitely in all directions. It is our task as humans to bring meaning back into this wasteland. As finite creatures who think and feel, we can create islands of meaning in the sea of information. Gleick ends his book with Borges’s image of the human condition:We walk the corridors, searching the shelves and rearranging them, looking for lines of meaning amid leagues of cacophony and incoherence, reading the history of the past and of the future, collecting our thoughts and collecting the thoughts of others, and every so often glimpsing mirrors, in which we may recognize creatures of the information.

Increasing nuclear power in the EIA reference scenario from a 17% to 43% share of electricity implies, in round numbers, about 300 new nuclear power plants by 2035.***  If you do not like nuclear you can substitute wind turbines or solar thermal plants (or even reductions in electricity consumption) according to the data provided in The Climate Fix, Table 4.4.  The magnitude of the task is the same size, just expressed differently.

One nuclear plant worth of carbon-free energy every 30 days between now and 2035.  This does not even consider electrification of some fraction of the vehicle fleet -- another of President Obama's goals -- which presumably would add a not-insignificant amount to electricity demand. Thus, I'd suggest that the President's clean energy goal is much more of the aspirational variety than a actual policy target expected to be hit precisely.

Some European leaders, including Angela Merkel, may be backtracking fast on their commitment to nuclear power, but despite yesterday's escalation of the ongoing crisis in Fukushima, Japan, there appear to be no signs that India, China and other emerging economies will succumb to a similar backlash. For the emerging economies, overcoming poverty and insecurity of supply remain the overriding priorities of energy policy.

The moratorium could cause a spike in CO2 emissions as Germany turns to its other, more carbon-intensive sources to supply its energy demand. Already, the country has been engaged in a "dash for coal", building dozens of new coal plants in response to the perverse incentives and intense lobbying from the coal industries made possible by the European Emissions Trading Scheme. (As previously reported by Breakthrough Europe).

if lost generation were made up for entirely by coal-fired plants, carbon emissions would increase annually by as much as 33 million tons. This would represent an overall 4% annual increase in carbon emissions for the country and an 8% increase in carbon emissions for the power sector alone.

Alternatively, should the country try to replace lost generation entirely with power from renewables, it would need to more than double generation of renewable energy, from where it currently stands at 97 billion kWh to about 237 billion kWh. As part of the country's low-carbon strategy, Germany has planned to deploy at least 20% renewable energy sources by 2020. If the nation now chooses to meet this goal by displacing nuclear plants, 2020 emissions levels would be higher than had the country otherwise phased out its carbon-intensive coal or natural gas plants.

*Carbon emissions factors used are those estimated by the World Bank in 2009 for new coal-fired power plants (0.795 t C02/MWh) and new gas-fired power plants (0.398 t C02/MWh) **Data from Carbon Monitoring For Action, European Nuclear Society Data, and US Energy Information Administration

UPDATE: I AM INFORMED THAT THE MATERIAL REPORTED BY EURACTIV AND REPRODUCED BELOW IS COMPREHENSIVELY WRONG.  APPARENTLY MR. SAWYER IS NOT A CONTRIBUTOR TO THE IPCC AND THE REPORT DOES NOT DISCUSS NUCLEAR POWER.  I HAVE UPDATED THIS POST ACCORDINGLY. THE EURACTIV NEWS STORY POSTED UP YESTERDAY REMAINS IN ERROR.

This wasn’t the case everywhere. Germany’s standards agency, established in 1887, was busy setting rules for everything from the content of dyes to the process for making porcelain; other European countries soon followed suit. Higher-quality products, in turn, helped the growth in Germany’s trade exceed that of the United States in the 1890s. America finally got its act together in 1894, when Congress standardized the meaning of what are today common scientific measures, including the ohm, the volt, the watt and the henry, in line with international metrics. And, in 1901, the United States became the last major economic power to establish an agency to set technological standards. The result was a boom in product innovation in all aspects of life during the 20th century. Today we can go to our hardware store and choose from hundreds of light bulbs that all conform to government-mandated quality and performance standards.

Technological standards not only promote innovation — they also can help protect one country’s industries from falling behind those of other countries. Today China, India and other rapidly growing nations are adopting standards that speed the deployment of new technologies. Without similar requirements to manufacture more technologically advanced products, American companies risk seeing the overseas markets for their products shrink while innovative goods from other countries flood the domestic market. To prevent that from happening, America needs not only to continue developing standards, but also to devise a strategy to apply them consistently and quickly.

The best approach would be to borrow from Japan, whose Top Runner program sets energy-efficiency standards by identifying technological leaders in a particular industry — say, washing machines — and mandating that the rest of the industry keep up. As technologies improve, the standards change as well, enabling a virtuous cycle of improvement. At the same time, the government should work with businesses to devise multidimensional standards, so that consumers don’t balk at products because they sacrifice, say, brightness and cost for energy efficiency.

This is not to say that innovation doesn’t bring disruption, and American policymakers can’t ignore the jobs that are lost when government standards sweep older technologies into the dustbin of history. An effective way forward on light bulbs, then, would be to apply standards only to those manufacturers that produce or import in large volume. Meanwhile, smaller, legacy light-bulb producers could remain, cushioning the blow to workers and meeting consumer demand.

Technologies and the standards that guide their deployment have revolutionized American society. They’ve been so successful, in fact, that the role of government has become invisible — so much so that even members of Congress should be excused for believing the government has no business mandating your choice of light bulbs.

Shekhar Y. Borkar, a fellow at Intel Labs, called Dr. Burger’s analysis “right on the dot,” but added: “His conclusions are a little different than what my conclusions would have been. The future is not as golden as it used to be, but it’s not bleak either.” Dr. Borkar cited a variety of new design ideas that he said would help ease the limits identified in the paper. Intel recently developed a way to vary the power consumed by different parts of a processor, making it possible to have both slower, lower-power transistors as well as faster-switching ones that consume more power. Increasingly, today’s processor chips contain two or more cores, or central processing units, that make it possible to use multiple programs simultaneously. In the future, Intel computers will have different kinds of cores optimized for different kinds of problems, only some of which require high power.

And while Intel announced in May that it had found a way to use 3-D design to crowd more transistors onto a single chip, that technology does not solve the energy problem described in the paper about dark silicon. The authors of the paper said they had tried to account for some of the promised innovation, and they argued that the question was how far innovators could go in overcoming the power limits.

“It’s one of those ‘If we don’t innovate, we’re all going to die’ papers,” Dr. Patterson said in an e-mail. “I’m pretty sure it means we need to innovate, since we don’t want to die!”

Pseudo-modernism also encompasses contemporary news programmes, whose content increasingly consists of emails or text messages sent in commenting on the news items. The terminology of ‘interactivity’ is equally inappropriate here, since there is no exchange: instead, the viewer or listener enters – writes a segment of the programme – then departs, returning to a passive role. Pseudo-modernism also includes computer games, which similarly place the individual in a context where they invent the cultural content, within pre-delineated limits. The content of each individual act of playing the game varies according to the particular player.

The pseudo-modern cultural phenomenon par excellence is the internet. Its central act is that of the individual clicking on his/her mouse to move through pages in a way which cannot be duplicated, inventing a pathway through cultural products which has never existed before and never will again. This is a far more intense engagement with the cultural process than anything literature can offer, and gives the undeniable sense (or illusion) of the individual controlling, managing, running, making up his/her involvement with the cultural product. Internet pages are not ‘authored’ in the sense that anyone knows who wrote them, or cares. The majority either require the individual to make them work, like Streetmap or Route Planner, or permit him/her to add to them, like Wikipedia, or through feedback on, for instance, media websites. In all cases, it is intrinsic to the internet that you can easily make up pages yourself (eg blogs).

Where once special effects were supposed to make the impossible appear credible, CGI frequently [inadvertently] works to make the possible look artificial, as in much of Lord of the Rings or Gladiator. Battles involving thousands of individuals have really happened; pseudo-modern cinema makes them look as if they have only ever happened in cyberspace.

Similarly, television in the pseudo-modern age favours not only reality TV (yet another unapt term), but also shopping channels, and quizzes in which the viewer calls to guess the answer to riddles in the hope of winning money.

The purely ‘spectacular’ function of television, as with all the arts, has become a marginal one: what is central now is the busy, active, forging work of the individual who would once have been called its recipient. In all of this, the ‘viewer’ feels powerful and is indeed necessary; the ‘author’ as traditionally understood is either relegated to the status of the one who sets the parameters within which others operate, or becomes simply irrelevant, unknown, sidelined; and the ‘text’ is characterised both by its hyper-ephemerality and by its instability. It is made up by the ‘viewer’, if not in its content then in its sequence – you wouldn’t read Middlemarch by going from page 118 to 316 to 401 to 501, but you might well, and justifiably, read Ceefax that way.

A pseudo-modern text lasts an exceptionally brief time. Unlike, say, Fawlty Towers, reality TV programmes cannot be repeated in their original form, since the phone-ins cannot be reproduced, and without the possibility of phoning-in they become a different and far less attractive entity.

If scholars give the date they referenced an internet page, it is because the pages disappear or get radically re-cast so quickly. Text messages and emails are extremely difficult to keep in their original form; printing out emails does convert them into something more stable, like a letter, but only by destroying their essential, electronic state.

The cultural products of pseudo-modernism are also exceptionally banal

Much text messaging and emailing is vapid in comparison with what people of all educational levels used to put into letters.

A triteness, a shallowness dominates all.

In music, the pseudo-modern supersedingof the artist-dominated album as monolithic text by the downloading and mix-and-matching of individual tracks on to an iPod, selected by the listener, was certainly prefigured by the music fan’s creation of compilation tapes a generation ago. But a shift has occurred, in that what was a marginal pastime of the fan has become the dominant and definitive way of consuming music, rendering the idea of the album as a coherent work of art, a body of integrated meaning, obsolete.

To a degree, pseudo-modernism is no more than a technologically motivated shift to the cultural centre of something which has always existed (similarly, metafiction has always existed, but was never so fetishised as it was by postmodernism). Television has always used audience participation, just as theatre and other performing arts did before it; but as an option, not as a necessity: pseudo-modern TV programmes have participation built into them.

Whereas postmodernism called ‘reality’ into question, pseudo-modernism defines the real implicitly as myself, now, ‘interacting’ with its texts. Thus, pseudo-modernism suggests that whatever it does or makes is what is reality, and a pseudo-modern text may flourish the apparently real in an uncomplicated form: the docu-soap with its hand-held cameras (which, by displaying individuals aware of being regarded, give the viewer the illusion of participation); The Office and The Blair Witch Project, interactive pornography and reality TV; the essayistic cinema of Michael Moore or Morgan Spurlock.

whereas postmodernism favoured the ironic, the knowing and the playful, with their allusions to knowledge, history and ambivalence, pseudo-modernism’s typical intellectual states are ignorance, fanaticism and anxiety

pseudo-modernism lashes fantastically sophisticated technology to the pursuit of medieval barbarism – as in the uploading of videos of beheadings onto the internet, or the use of mobile phones to film torture in prisons. Beyond this, the destiny of everyone else is to suffer the anxiety of getting hit in the cross-fire. But this fatalistic anxiety extends far beyond geopolitics, into every aspect of contemporary life; from a general fear of social breakdown and identity loss, to a deep unease about diet and health; from anguish about the destructiveness of climate change, to the effects of a new personal ineptitude and helplessness, which yield TV programmes about how to clean your house, bring up your children or remain solvent.

Pseudo-modernism belongs to a world pervaded by the encounter between a religiously fanatical segment of the United States, a largely secular but definitionally hyper-religious Israel, and a fanatical sub-section of Muslims scattered across the planet: pseudo-modernism was not born on 11 September 2001, but postmodernism was interred in its rubble.

pseudo-modernist communicates constantly with the other side of the planet, yet needs to be told to eat vegetables to be healthy, a fact self-evident in the Bronze Age. He or she can direct the course of national television programmes, but does not know how to make him or herself something to eat – a characteristic fusion of the childish and the advanced, the powerful and the helpless. For varying reasons, these are people incapable of the “disbelief of Grand Narratives” which Lyotard argued typified postmodernists

It’s amazing that the myth of the lone genius has persisted for so long, since simultaneous invention has always been the norm, not the exception. Anthropologists have shown that the same inventions tended to crop up in prehistory at roughly similar times, in roughly the same order, among cultures on different continents that couldn’t possibly have contacted one another.

Also, there’s a related myth—that innovation comes primarily from the profit motive, from the competitive pressures of a market society. If you look at history, innovation doesn’t come just from giving people incentives; it comes from creating environments where their ideas can connect.

The musician Brian Eno invented a wonderful word to describe this phenomenon: scenius. We normally think of innovators as independent geniuses, but Eno’s point is that innovation comes from social scenes,from passionate and connected groups of people.

It turns out that the lone genius entrepreneur has always been a rarity—there’s far more innovation coming out of open, nonmarket networks than we tend to assume.

Really, we should think of ideas as connections,in our brains and among people. Ideas aren’t self-contained things; they’re more like ecologies and networks. They travel in clusters.

ideas are networks

In part, that’s because ideas that leap too far ahead are almost never implemented—they aren’t even valuable. People can absorb only one advance, one small hop, at a time. Gregor Mendel’s ideas about genetics, for example: He formulated them in 1865, but they were ignored for 35 years because they were too advanced. Nobody could incorporate them. Then, when the collective mind was ready and his idea was only one hop away, three different scientists independently rediscovered his work within roughly a year of one another.

Charles Babbage is another great case study. His “analytical engine,” which he started designing in the 1830s, was an incredibly detailed vision of what would become the modern computer, with a CPU, RAM, and so on. But it couldn’t possibly have been built at the time, and his ideas had to be rediscovered a hundred years later.

I think there are a lot of ideas today that are ahead of their time. Human cloning, autopilot cars, patent-free law—all are close technically but too many steps ahead culturally. Innovating is about more than just having the idea yourself; you also have to bring everyone else to where your idea is. And that becomes really difficult if you’re too many steps ahead.

The scientist Stuart Kauffman calls this the “adjacent possible.” At any given moment in evolution—of life, of natural systems, or of cultural systems—there’s a space of possibility that surrounds any current configuration of things. Change happens when you take that configuration and arrange it in a new way. But there are limits to how much you can change in a single move.

Which is why the great inventions are usually those that take the smallest possible step to unleash the most change. That was the difference between Tim Berners-Lee’s successful HTML code and Ted Nelson’s abortive Xanadu project. Both tried to jump into the same general space—a networked hypertext—but Tim’s approach did it with a dumb half-step, while Ted’s earlier, more elegant design required that everyone take five steps all at once.

Also, the steps have to be taken in the right order. You can’t invent the Internet and then the digital computer. This is true of life as well. The building blocks of DNA had to be in place before evolution could build more complex things. One of the key ideas I’ve gotten from you, by the way—when I read your book Out of Control in grad school—is this continuity between biological and technological systems.

technology is something that can give meaning to our lives, particularly in a secular world.

He had this bleak, soul-sucking vision of technology as an autonomous force for evil. You also present technology as a sort of autonomous force—as wanting something, over the long course of its evolution—but it’s a more balanced and ultimately positive vision, which I find much more appealing than the alternative.

As I started thinking about the history of technology, there did seem to be a sense in which, during any given period, lots of innovations were in the air, as it were. They came simultaneously. It appeared as if they wanted to happen. I should hasten to add that it’s not a conscious agency; it’s a lower form, something like the way an organism or bacterium can be said to have certain tendencies, certain trends, certain urges. But it’s an agency nevertheless.

technology wants increasing diversity—which is what I think also happens in biological systems, as the adjacent possible becomes larger with each innovation. As tech critics, I think we have to keep this in mind, because when you expand the diversity of a system, that leads to an increase in great things and an increase in crap.

the idea that the most creative environments allow for repeated failure.

And for wastes of time and resources. If you knew nothing about the Internet and were trying to figure it out from the data, you would reasonably conclude that it was designed for the transmission of spam and porn. And yet at the same time, there’s more amazing stuff available to us than ever before, thanks to the Internet.

To create something great, you need the means to make a lot of really bad crap. Another example is spectrum. One reason we have this great explosion of innovation in wireless right now is that the US deregulated spectrum. Before that, spectrum was something too precious to be wasted on silliness. But when you deregulate—and say, OK, now waste it—then you get Wi-Fi.

If we didn’t have genetic mutations, we wouldn’t have us. You need error to open the door to the adjacent possible.

image of the coral reef as a metaphor for where innovation comes from. So what, today, are some of the most reeflike places in the technological realm?

Twitter—not to see what people are having for breakfast, of course, but to see what people are talking about, the links to articles and posts that they’re passing along.

second example of an information coral reef, and maybe the less predictable one, is the university system. As much as we sometimes roll our eyes at the ivory-tower isolation of universities, they continue to serve as remarkable engines of innovation.

Life seems to gravitate toward these complex states where there’s just enough disorder to create new things. There’s a rate of mutation just high enough to let interesting new innovations happen, but not so many mutations that every new generation dies off immediately.

, technology is an extension of life. Both life and technology are faces of the same larger system.

Somewhere down the line, achieving an impact in the media seems to have become the goal in itself, rather than what it should be: a way to inform and engage the public with clarity and objectivity, without bias or prejudice. Our obsession with impact is not one-sided. The craving of scientists for publicity is fuelled by a hurried and unquestioning media, an academic community that disproportionately rewards publication in "high impact" journals such as Nature, and by research councils that emphasise the importance of achieving "impact" while at the same time delivering funding cuts. Academics are now pushed to attend media training courses, instructed about "pathways to impact", required to include detailed "impact summaries" when applying for grant funding, and constantly reminded about the importance of media engagement to further their careers. Yet where in all of this strategising and careerism is it made clear why public engagement is important? Where is it emphasised that the most crucial consideration in our interactions with the media is that we are accurate, honest and open about the limitations of our research?

I asked him, “If paradigms are really incommensurable, how is history of science possible? Wouldn’t we be merely interpreting the past in the light of the present? Wouldn’t the past be inaccessible to us? Wouldn’t it be ‘incommensurable?’ ” [8] ¶He started moaning. He put his head in his hands and was muttering, “He’s trying to kill me. He’s trying to kill me.” ¶And then I added, “…except for someone who imagines himself to be God.” ¶It was at this point that Kuhn threw the ashtray at me.

I call Kuhn’s reply “The Ashtray Argument.” If someone says something you don’t like, you throw something at him. Preferably something large, heavy, and with sharp edges. Perhaps we were engaged in a debate on the nature of language, meaning and truth. But maybe we just wanted to kill each other.

That's the problem with relativism: Who's to say who's right and who's wrong? Somehow I'm not surprised to hear Kuhn was an ashtray-hurler. In the end, what other argument could he make?

For us to have a conversation and come to an agreement about the meaning of some word without having to refer to some outside authority like a dictionary, we would of necessity have to be satisfied that our agreement was genuine and not just a polite acknowledgement of each others' right to their opinion, can you agree with that? If so, then let's see if we can agree on the meaning of the word 'know' because that may be the crux of the matter. When I use the word 'know' I mean more than the capacity to apprehend some aspect of the world through language or some other represenational symbolism. Included in the word 'know' is the direct sensorial perception of some aspect of the world. For example, I sense the floor that my feet are now resting upon. I 'know' the floor is really there, I can sense it. Perhaps I don't 'know' what the floor is made of, who put it there, and other incidental facts one could know through the usual symbolism such as language as in a story someone tells me. Nevertheless, the reality I need to 'know' is that the floor, or whatever you may wish to call the solid - relative to my body - flat and level surface supported by more structure then the earth, is really there and reliably capable of supporting me. This is true and useful knowledge that goes directly from the floor itself to my knowing about it - via sensation - that has nothing to do with my interpretive system.

Now I am interested in 'knowing' my feet in the same way that my feet and the whole body they are connected to 'know' the floor. I sense my feet sensing the floor. My feet are as real as the floor and I know they are there, sensing the floor because I can sense them. Furthermore, now I 'know' that it is 'I' sensing my feet, sensing the floor. Do you see where I am going with this line of thought? I am including in the word 'know' more meaning than it is commonly given by everyday language. Perhaps it sounds as if I want to expand on the Cartesian formula of cogito ergo sum, and in truth I prefer to say I sense therefore I am. It is my sensations of the world first and foremost that my awareness, such as it is, is actively engaged with reality. Now, any healthy normal animal senses the world but we can't 'know' if they experience reality as we do since we can't have a conversation with them to arrive at agreement. But we humans can have this conversation and possibly agree that we can 'know' the world through sensation. We can even know what is 'I' through sensation. In fact, there is no other way to know 'I' except through sensation. Thought is symbolic representation, not direct sensing, so even though the thoughtful modality of regarding the world may be a far more reliable modality than sensation in predicting what might happen next, its very capacity for such accurate prediction is its biggest weakness, which is its capacity for error

Sensation cannot be 'wrong' unless it is used to predict outcomes. Thought can be wrong for both predicting outcomes and for 'knowing' reality. Sensation alone can 'know' reality even though it is relatively unreliable, useless even, for making predictions.

If we prioritize our interests by placing predictability over pure knowing through sensation, then of course we will not value the 'knowledge' to be gained through sensation. But if we can switch the priorities - out of sheer curiosity perhaps - then we can enter a realm of knowledge through sensation that is unbelievably spectacular. Our bodies are 'made of' reality, and by methodically exercising our nascent capacity for self sensing, we can connect our knowing 'I' to reality directly. We will not be able to 'know' what it is that we are experiencing in the way we might wish, which is to be able to predict what will happen next or to represent to ourselves symbolically what we might experience when we turn our attention to that sensation. But we can arrive at a depth and breadth of 'knowing' that is utterly unprecedented in our lives by operating that modality.

One of the impressions that comes from a sustained practice of self sensing is a clearer feeling for what "I" is and why we have a word for that self referential phenomenon, seemingly located somewhere behind our eyes and between our ears. The thing we call "I" or "me" depending on the context, turns out to be a moving point, a convergence vector for a variety of images, feelings and sensations. It is a reference point into which certain impressions flow and out of which certain impulses to act diverge and which may or may not animate certain muscle groups into action. Following this tricky exercize in attention and sensation, we can quickly see for ourselves that attention is more like a focused beam and awareness is more like a diffuse cloud, but both are composed of energy, and like all energy they vibrate, they oscillate with a certain frequency. That's it for now.

I loved the writer's efforts to find a fixed definition of “Incommensurability;” there was of course never a concrete meaning behind the word. Smoke and mirrors.

3. Collaboration at scale Across many economies, the number of people who undertake knowledge work has grown much more quickly than the number of production or transactions workers. Knowledge workers typically are paid more than others, so increasing their productivity is critical. As a result, there is broad interest in collaboration technologies that promise to improve these workers' efficiency and effectiveness. While the body of knowledge around the best use of such technologies is still developing, a number of companies have conducted experiments, as we see in the rapid growth rates of video and Web conferencing, expected to top 20 per cent annually during the next few years.

4. The growing ‘Internet of Things' The adoption of RFID (radio-frequency identification) and related technologies was the basis of a trend we first recognised as "expanding the frontiers of automation." But these methods are rudimentary compared with what emerges when assets themselves become elements of an information system, with the ability to capture, compute, communicate, and collaborate around information—something that has come to be known as the "Internet of Things." Embedded with sensors, actuators, and communications capabilities, such objects will soon be able to absorb and transmit information on a massive scale and, in some cases, to adapt and react to changes in the environment automatically. These "smart" assets can make processes more efficient, give products new capabilities, and spark novel business models. Auto insurers in Europe and the United States are testing these waters with offers to install sensors in customers' vehicles. The result is new pricing models that base charges for risk on driving behavior rather than on a driver's demographic characteristics. Luxury-auto manufacturers are equipping vehicles with networked sensors that can automatically take evasive action when accidents are about to happen. In medicine, sensors embedded in or worn by patients continuously report changes in health conditions to physicians, who can adjust treatments when necessary. Sensors in manufacturing lines for products as diverse as computer chips and pulp and paper take detailed readings on process conditions and automatically make adjustments to reduce waste, downtime, and costly human interventions.

5. Experimentation and big data Could the enterprise become a full-time laboratory? What if you could analyse every transaction, capture insights from every customer interaction, and didn't have to wait for months to get data from the field? What if…? Data are flooding in at rates never seen before—doubling every 18 months—as a result of greater access to customer data from public, proprietary, and purchased sources, as well as new information gathered from Web communities and newly deployed smart assets. These trends are broadly known as "big data." Technology for capturing and analysing information is widely available at ever-lower price points. But many companies are taking data use to new levels, using IT to support rigorous, constant business experimentation that guides decisions and to test new products, business models, and innovations in customer experience. In some cases, the new approaches help companies make decisions in real time. This trend has the potential to drive a radical transformation in research, innovation, and marketing.

Using experimentation and big data as essential components of management decision making requires new capabilities, as well as organisational and cultural change. Most companies are far from accessing all the available data. Some haven't even mastered the technologies needed to capture and analyse the valuable information they can access. More commonly, they don't have the right talent and processes to design experiments and extract business value from big data, which require changes in the way many executives now make decisions: trusting instincts and experience over experimentation and rigorous analysis. To get managers at all echelons to accept the value of experimentation, senior leaders must buy into a "test and learn" mind-set and then serve as role models for their teams.

6. Wiring for a sustainable world Even as regulatory frameworks continue to evolve, environmental stewardship and sustainability clearly are C-level agenda topics. What's more, sustainability is fast becoming an important corporate-performance metric—one that stakeholders, outside influencers, and even financial markets have begun to track. Information technology plays a dual role in this debate: it is both a significant source of environmental emissions and a key enabler of many strategies to mitigate environmental damage. At present, information technology's share of the world's environmental footprint is growing because of the ever-increasing demand for IT capacity and services. Electricity produced to power the world's data centers generates greenhouse gases on the scale of countries such as Argentina or the Netherlands, and these emissions could increase fourfold by 2020. McKinsey research has shown, however, that the use of IT in areas such as smart power grids, efficient buildings, and better logistics planning could eliminate five times the carbon emissions that the IT industry produces.

7. Imagining anything as a service Technology now enables companies to monitor, measure, customise, and bill for asset use at a much more fine-grained level than ever before. Asset owners can therefore create services around what have traditionally been sold as products. Business-to-business (B2B) customers like these service offerings because they allow companies to purchase units of a service and to account for them as a variable cost rather than undertake large capital investments. Consumers also like this "paying only for what you use" model, which helps them avoid large expenditures, as well as the hassles of buying and maintaining a product.

In the IT industry, the growth of "cloud computing" (accessing computer resources provided through networks rather than running software or storing data on a local computer) exemplifies this shift. Consumer acceptance of Web-based cloud services for everything from e-mail to video is of course becoming universal, and companies are following suit. Software as a service (SaaS), which enables organisations to access services such as customer relationship management, is growing at a 17 per cent annual rate. The biotechnology company Genentech, for example, uses Google Apps for e-mail and to create documents and spreadsheets, bypassing capital investments in servers and software licenses. This development has created a wave of computing capabilities delivered as a service, including infrastructure, platform, applications, and content. And vendors are competing, with innovation and new business models, to match the needs of different customers.

8. The age of the multisided business model Multisided business models create value through interactions among multiple players rather than traditional one-on-one transactions or information exchanges. In the media industry, advertising is a classic example of how these models work. Newspapers, magasines, and television stations offer content to their audiences while generating a significant portion of their revenues from third parties: advertisers. Other revenue, often through subscriptions, comes directly from consumers. More recently, this advertising-supported model has proliferated on the Internet, underwriting Web content sites, as well as services such as search and e-mail (see trend number seven, "Imagining anything as a service," earlier in this article). It is now spreading to new markets, such as enterprise software: Spiceworks offers IT-management applications to 950,000 users at no cost, while it collects advertising from B2B companies that want access to IT professionals.

9. Innovating from the bottom of the pyramid The adoption of technology is a global phenomenon, and the intensity of its usage is particularly impressive in emerging markets. Our research has shown that disruptive business models arise when technology combines with extreme market conditions, such as customer demand for very low price points, poor infrastructure, hard-to-access suppliers, and low cost curves for talent. With an economic recovery beginning to take hold in some parts of the world, high rates of growth have resumed in many developing nations, and we're seeing companies built around the new models emerging as global players. Many multinationals, meanwhile, are only starting to think about developing markets as wellsprings of technology-enabled innovation rather than as traditional manufacturing hubs.

10. Producing public good on the grid The role of governments in shaping global economic policy will expand in coming years. Technology will be an important factor in this evolution by facilitating the creation of new types of public goods while helping to manage them more effectively. This last trend is broad in scope and draws upon many of the other trends described above.