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Wired 7.09: Prophets of Boom
Tags: economy, predictions, wired, kevin-kelly, economic-crash about 8 hours ago -All Annotations (2) -About
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Our growth boom will end around
2008 or 2009, as the boomer generation begins to cut its spending. We'll
see falling prices, high unemployment, and massive consolidation in industry.
This depressionary economy will last for about 12 to 14 years, from
approximately
2009 to 2022. -
Bull markets end when a generation stops spending
and stops being more productive as worke
5.09: Dumpster Diving
Tags: technology, recycling, waste-management, wired, cory-doctorow, Darren-Atkinson on 2008-10-07 -All Annotations (0) -About
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Wired 8.04: A Tale of Two Botanies
Tags: genetic-engineering, technology, wired on 2008-10-05 -All Annotations (0) -About
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Wired 8.04: A Tale of Two Botanies
Tags: biotech, botany, genetic-engineering, transgenics, wired on 2007-09-16 -All Annotations (0) -About
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The USDA has already approved
>
about 50 genetically engineered crops for unlimited release; US researchers
>
have tested about 4,500 more. Over half the world's soybeans and a third
>
of the corn now contain genes spliced in from other forms of life. You've
>
probably eaten some lately - unwittingly.
> -
Traditional agronomy transfers genes between plants whose kinship lets
>
them interbreed. The new botany mechanically transfers genes between organisms
>
that can never mate naturally: An antifreeze gene from a fish becomes part
>
of a strawberry. Such patchwork, done by people who've seldom studied
>
evolutionary
>
biology and ecology, uses so-called "genetic engineering" - a double misnomer.
>
It moves genes but is not about genetics. "Engineering" implies understanding
>
of the causal mechanisms that link actions to effects, but nobody understands
>
the mechanisms by which genes, interacting with each other and the environment,
>
express traits. Transgenic manipulation inserts foreign genes into random
>
locations in a plant's DNA to see what happens. That's not engineering;
>
it's the industrialization of life by people with a narrow understanding
>
of it.
> -
The new botany aligns the development of plants with their economic, not
>
evolutionary, success: survival not of the fittest but of the fattest.
>
High-yield, open-pollinated seeds abound; the new crops were created not
>
because they're productive but because they're patentable. Their economic
>
value is oriented not toward helping subsistence farmers to feed themselves
>
but toward feeding more livestock for the already overfed rich. Most
>
worryingly, the transformation of plant genetics
>
is being accelerated from the measured pace of biological evolution to
>
the speed of next quarter's earnings report. Such haste makes it impossible
>
to foresee and forestall: Unintended consequences appear only later, when
>
they may not be fixable, because novel lifeforms aren't recallable.
> -
Traditional agronomy transfers genes between plants whose kinship lets
them interbreed. The new botany mechanically transfers genes between organisms
that can never mate naturally: An antifreeze gene from a fish becomes part
of a strawberry. Such patchwork, done by people who've seldom studied
evolutionary
biology and ecology, uses so-called "genetic engineering" - a double misnomer.
It moves genes but is not about genetics. "Engineering" implies understanding
of the causal mechanisms that link actions to effects, but nobody understands
the mechanisms by which genes, interacting with each other and the environment,
express traits. Transgenic manipulation inserts foreign genes into random
locations in a plant's DNA to see what happens. That's not engineering;
it's the industrialization of life by people with a narrow understanding
of it. -
The new botany aligns the development of plants with their economic, not
evolutionary, success: survival not of the fittest but of the fattest.
High-yield, open-pollinated seeds abound; the new crops were created not
because they're productive but because they're patentable. Their economic
value is oriented not toward helping subsistence farmers to feed themselves
but toward feeding more livestock for the already overfed rich. Most
worryingly, the transformation of plant genetics
is being accelerated from the measured pace of biological evolution to
the speed of next quarter's earnings report. Such haste makes it impossible
to foresee and forestall: Unintended consequences appear only later, when
they may not be fixable, because novel lifeforms aren't recallable. -
The USDA has already approved
about 50 genetically engineered crops for unlimited release; US researchers
have tested about 4,500 more. Over half the world's soybeans and a third
of the corn now contain genes spliced in from other forms of life. You've
probably eaten some lately - unwittingly.
Wired 8.04: Why the future doesn't need us.
Tags: artificial-intelligence, bill-joy, ethics, futurism, genetic-engineering, happiness, nano-technology, predictions, robots, technology, wired on 2007-09-14 and saved by11 people -All Annotations (0) -About
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My continuing professional work is on improving
>
the reliability of software. Software is a tool, and as
>
a toolbuilder I must struggle with the uses to which
>
the tools I make are put. I have always believed that making software more
>
reliable, given its many uses, will make the world a safer and better place;
>
if I were to come to believe the opposite, then I would be morally obligated
>
to stop this work. I can now imagine such a day may come.
>
This all leaves me not angry but at least a bit melancholic. Henceforth,
>
for me, progress will be somewhat bittersweet.
> -
Clearly, we need to find meaningful challenges
>
and sufficient scope in our lives if we are to be happy in whatever is
>
to come. But I believe we must find alternative outlets for our creative
>
forces, beyond the culture of perpetual economic growth; this growth has
>
largely been a blessing for several hundred years, but
>
it has not brought us unalloyed happiness, and we must now choose between
>
the pursuit of unrestricted and undirected growth through science and
>
technology and the clear accompanying dangers.
> -
>
>
Where can we look for a new ethical basis to set
>
our course? I have found the ideas in the book
>
Ethics for the New Millennium,
>
by the Dalai Lama, to be very helpful. As is perhaps well known but little
>
heeded, the Dalai Lama argues that the most important thing
>
is for us to conduct our lives with love and compassion for others, and
>
that our societies need to develop a stronger notion of universal
>
responsibility
>
and of our interdependency; he proposes a standard of positive ethical
>
conduct for individuals and societies that seems consonant with Attali's
>
Fraternity utopia.
>
The Dalai Lama further argues that we must understand what it is that makes
>
people happy, and acknowledge the strong evidence that neither material
>
progress nor the pursuit of the power of knowledge is the key - that there
>
are limits to what science and the scientific pursuit alone can do.
> -
I recently had the good fortune to meet the distinguished author and scholar
>
Jacques Attali, whose book
>
Lignes d'horizons
>
(
>
Millennium,
>
in the
>
English
>
translation) helped inspire the Java and Jini approach to the coming age
>
of pervasive computing, as previously described in this magazine. In his
>
new book
>
Fraternités,
>
Attali describes how our dreams of utopia
>
have changed over time:
>
"At the dawn of societies, men saw their passage on Earth as nothing more
>
than a labyrinth of pain, at the end of which stood a door leading, via
>
their death, to the company of gods and to
>
Eternity.
>
With the Hebrews and
>
then the Greeks, some men dared free themselves from theological demands
>
and dream of an ideal City where
>
Liberty
>
would flourish. Others, noting
>
the evolution of the market society, understood that the liberty of some
>
would entail the alienation of others, and they sought
>
Equality
>
."
>
Jacques helped me understand how these three
>
different utopian goals exist in tension in our society today. He goes
>
on to describe a fourth utopia,
>
Fraternity,
>
whose foundation is altruism.
>
Fraternity alone associates individual happiness with the happiness of
>
others, affording the promise of self-sustainment.
>
This crystallized for me my problem with Kurzweil's dream. A technological
>
approach to Eternity - near immortality through robotics - may not be the
>
most desirable utopia, and its pursuit brings clear dangers. Maybe we should
>
rethink our utopian choices.
> -
Similar difficulties apply to the construction of shields against robotics
>
and genetic engineering. These technologies are too powerful to be shielded
>
against in the time frame of interest; even if it were possible
>
to implement defensive shields, the side effects of their development would
>
be at least as dangerous as the technologies we are trying to protect against.
> -
Now, as then, we are creators of new technologies and stars of the imagined
>
future, driven - this time by great financial rewards and global competition
>
- despite the clear dangers, hardly evaluating what it may be like to try
>
to live in a world that is the realistic outcome of what we are creating
>
and imagining.
> -
I realize now that she had an awareness of the nature of the order of life,
>
and of the necessity of living with and respecting that order. With this
>
respect comes a necessary humility that we, with our early-21st-century
>
chutzpah, lack at our peril. The commonsense view, grounded in this respect,
>
is often right, in advance of the scientific evidence. The clear fragility
>
and inefficiencies of the human-made systems we have built should give
>
us all pause; the fragility of the systems I have worked on certainly humbles
>
me.
>
We should have learned a lesson from the making of the first atomic bomb
>
and the resulting arms race. We didn't do well then, and the parallels
>
to our current situation are troubling.
> -
The nuclear, biological, and chemical (NBC) technologies used in 20th-century
>
weapons of mass destruction were and are largely military, developed in
>
government laboratories. In sharp contrast, the 21st-century GNR technologies
>
have clear commercial uses and are being developed almost exclusively by
>
corporate enterprises. In this age of triumphant commercialism, technology
>
- with science as its handmaiden - is delivering a series of almost magical
>
inventions that are the most phenomenally lucrative ever seen. We are
>
aggressively pursuing the promises of these new technologies within the
>
now-unchallenged system of global capitalism and its manifold financial
>
incentives and competitive pressures.
>
This is the first moment in the history of our planet when any species,
>
by its own voluntary actions, has become a danger to itself - as well as
>
to vast numbers of others.
> -
It is most of all the power of destructive self-replication in genetics,
>
nanotechnology, and robotics (GNR) that should give us pause. Self-replication
>
is the modus operandi of genetic engineering, which uses the machinery
>
of the cell to replicate its designs, and the prime danger underlying gray
>
goo in nanotechnology.
> -
So I'm still searching; there are many more things to learn. Whether we
are to succeed or fail, to survive or fall victim to these technologies,
is not yet decided. I'm up late again - it's almost 6 am. I'm trying to
imagine some better answers, to break the spell and free them from the
stone. -
But genetic engineering technology is already very far along. As the Lovins
>
note, the USDA has already approved about 50 genetically engineered crops
>
for unlimited release; more than half of the world's soybeans and a third
>
of its corn now contain genes spliced in from other forms of life
>. -
In
>
The Agony and the Ecstasy,
>
Irving Stone's biographical novel of
>
Michelangelo,
>
Stone described vividly how Michelangelo released the statues from the
>
stone, "breaking the marble spell," carving from the images in his mind.
>
4
>
In my most ecstatic moments,
>
the software in the computer emerged in the same way. Once I had imagined
>
it in my mind I felt that it was already there in the machine, waiting
>
to be released. Staying up all night seemed a small price to pay to free
>
it - to give the ideas concrete form.
> -
My life has been driven by a deep need to ask questions and find answers.
>
When I was 3, I was already reading, so my father took me to the elementary
>
school, where I sat on the principal's lap and read him a
>
story. I started school early, later skipped a grade, and escaped into
>
books - I was incredibly motivated to learn. I asked lots of questions,
>
often driving adults to distraction.
> -
The 21st-century technologies - genetics, nanotechnology, and robotics
>
(GNR) - are so powerful that they can spawn whole new classes of accidents
>
and abuses. Most dangerously, for the first time, these accidents and abuses
>
are widely within the reach of individuals or small groups. They will not
>
require large facilities or rare raw materials. Knowledge alone will enable
>
the use of them.
>
Thus we have the possibility not just of weapons of mass destruction but
>
of knowledge-enabled mass destruction (KMD), this destructiveness hugely
>
amplified by the power of self-replication.
> -
Specifically, robots,
>
engineered organisms, and nanobots share a dangerous amplifying factor:
>
They can self-replicate. A bomb is blown up only once - but one bot can
>
become many, and quickly get out of control.
> -
But while replication in a computer or a computer
>
network can be a nuisance, at worst it disables a machine or takes down
>
a network or network service. Uncontrolled self-replication in these newer
>
technologies runs a much greater risk: a risk of substantial damage in
>
the physical world.
> -
Danny's answer -
>
directed specifically at Kurzweil's scenario of humans merging with robots
>
- came swiftly, and quite surprised me. He said, simply, that the changes
>
would come gradually, and that we would get used to them.
>
But I guess I wasn't totally surprised. I had seen a quote from Danny in
>
Kurzweil's book in which he said, "I'm as fond of my body as anyone, but
>
if I can be 200 with a body of silicon, I'll take it." It seemed that he
>
was at peace with this process and its attendant risks, while I was not.
> -
At around
>
the same time, I found Hans Moravec's book
>
Robot: Mere Machine to
>
Transcendent Mind.
> -
The cause of many such surprises seems clear: The systems involved are
>
complex, involving interaction among and feedback between many parts. Any
>
changes to such a system will cascade in ways that are difficult to predict;
>
this is especially true when human actions are involved.
> -
The many wonders of nanotechnology were first imagined by the Nobel-laureate
physicist Richard Feynman in a speech he gave in 1959, subsequently published
under the title "There's Plenty of Room at the Bottom." The book that made
a big impression on me, in the mid-'80s, was Eric Drexler'sEngines of
Creation, in which he described beautifully how manipulation of matter
at the atomic level could create a utopian future of abundance, where just
about everything could be made cheaply, and almost any imaginable disease
or physical problem could be solved using nanotechnology and artificial
intelligences -
Ray saying
that the rate of improvement of technology was going to accelerate and that
we were going to become robots or fuse with robots -
Why the future doesn't need us.
Our most powerful 21st-century technologies - robotics, genetic engineering, and nanotech - are threatening to make humans an endangered species.
By Bill Joy
new rules for the new economy - by kevin kelly - at wired
Tags: business, emergence, gift-economy, internet, kevin-kelly, network-economy, technology, wired on 2007-08-30 and saved by3 people -All Annotations (0) -About
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Our minds will at first be bound by old rules of economic growth and productivity. Listening to the network can unloose them. In the Network Economy, don't solve problems, seek opportunities.
-
"Don't solve problems, seek opportunities." When you are solving problems, you are investing in your weaknesses; when you are seeking opportunities, you are banking on the network.
The wonderful news about the Network Economy is that it plays right into human strengths. Repetition, sequels, copies, and automation all tend toward the free, while the innovative, original, and imaginative all soar in value. -
In the Network Economy, productivity is not our bottleneck. Our ability to solve our social and economic problems will be limited primarily by our lack of imagination in seizing opportunities, rather than trying to optimize solutions.
-
Wasting time and being inefficient are the way to discovery.
-
Peter Drucker has noted that in the industrial age, the task for each worker was to discover how to do his job better; that's productivity. But in the Network Economy, where machines do most of
the inhumane work of manufacturing, the task for each worker is not "how to
do this job right" but "what is the right job to do?" In the coming era, doing the exactly right next thing is far more
"productive" than doing the same thing better. But how can one easily measure this vital sense of exploration and discovery? It will be invisible to productivity benchmarks. -
The problem with trying to measure productivity is that it measures only how well people can do the wrong jobs. Any job that can be measured for productivity probably should be eliminated.
-
In the end, what does this Network Economy bring us?
Economists once thought that the coming age would bring supreme productivity. But, in a paradox, increasing technology has not led to measurable increases in productivity.
This is because productivity is exactly the wrong thing to care about. -
12 The Law of Inefficiencies
Don't solve problems -
Nonetheless, in the coming churn, the industrial age's titans will fall. In a poetic sense, the prime task of the Network Economy is to destroy - company by company, industry by industry - the industrial economy. While it undoes industry at its peak, it weaves a larger web of new, more agile, more tightly linked organizations between its spaces.
Effective churning will be an art. In any case, promoting stability, defending productivity, and protecting success can only prolong the misery. When in doubt, churn. In the Network Economy, seek sustainable disequilibrium. -
Industries and occupations also experience this churn. Even a sequence of rapid job changes for workers - let alone lifetime employment - is on its way out. Instead, careers - if that is the word for them - will increasingly resemble networks of multiple and simultaneous commitments with a constant churn of new skills and outmoded roles.
-
The difference between chaos and the edge of chaos is subtle.
-
Ironically, only by promoting churn can long-term stability be achieved.
This notion of constant churn is familiar to ecologists and those who manage large networks. The sustained vitality of
a complex network requires that the net keep provoking itself out of balance. If the system settles into harmony and equilibrium, it will eventually stagnate and die.
Innovation is a disruption; constant innovation is perpetual disruption. This seems to be the goal of a well-made network: to sustain a perpetual disequilibrium. As economists (such as Paul Romer and Brian Arthur) begin to study the Network Economy, they see that it, too, operates by poising itself on the edge of constant chaos. In this chaotic churn is life-giving renewal and growth. -
As networks have permeated our world, the economy has come to resemble an ecology of organisms, interlinked and coevolving, constantly in flux, deeply tangled, ever expanding at its edges. As
we know from recent ecological studies, no balance exists in nature; rather, as evolution proceeds, there is perpetual disruption as new species displace old,
as natural biomes shift in their makeup, and as organisms and environments transform each other. So it is with the network perspective: companies come and go quickly, careers are patchworks of vocations, industries are indefinite groupings of fluctuating firms. -
Change, even in its toxic form, is rapid difference. Churn, on the other hand, is more like the Hindu god Shiva, a creative force of destruction and genesis. Churn topples the incumbent and creates a platform ideal for more innovation and birth. It is "compounded rebirth." And this genesis hovers on the edge of chaos.
-
11 The Law of Churn
Seek sustainable disequilibrium -
If money and information flow through something, then it's part of the Network Economy.
In the Network Economy, the net wins. All transactions and objects will tend to obey network
logic. -
Once we see cars as chips with wheels, it's easier to imagine airplanes as chips with wings, farms as chips with soil, houses as chips with inhabitants. Yes, they will have mass, but that mass will
be subjugated by the overwhelming amount of knowledge and information flowing through it, and, in economic terms, these objects will behave as if they had no mass at all. In that way,
they migrate to the Network Economy. -
The accumulated effect of this substitution of knowledge for material in automobiles is a hypercar that will be safer than today's car, yet can cross the continental US on one tank of fuel.
-
Whereas once the unique dynamics
of the software and computer industry (increasing returns, following the free, etc.) were seen as special cases within the larger "real" economy of steel, oil, automobiles, and farms, the dynamics
of networks will continue to displace the old economic dynamics until network behavior becomes the entire economy. -
Many observers have noted the gradual displacement in our economy of materials by information.
-
10 The Law of Displacement
The net wins -
In the Network Economy, the ability to relinquish a product or occupation or industry at its peak will be priceless. Let go at the top.
-
The harsh news is that getting stuck is a certainty in the new economy. Sooner, rather than later, a product will be eclipsed at its prime. While one product is at its peak, another will move the mountain by changing the rules.
There is only one way out. The organism must devolve. In order to go from one high peak to another, it must go downhill first and cross a valley before climbing uphill again. It must reverse itself and become less adapted, less fit, less optimal. -
This brings us to the second problem. Organizations, like living beings, are hardwired to optimize what they know and to not throw success away. Companies find devolving a) unthinkable and b) impossible. There is simply no room in the enterprise for the concept
of letting go - let alone the skill to let go
- of something that is working, and trudge downhill toward
chaos. -
An organization can cheer itself silly on its way to becoming the world's expert on a dead-end technology. In biology's phrasing, it gets stuck on a local peak.
-
First, unlike the industrial arc's relatively simple environment, where it was fairly clear what an optimal product looked like and where on the slow-moving horizon a company should place itself,
it is increasingly difficult in the Network Economy to discern what hills are highest and what summits are false. -
Biologists describe the struggle of an organism to adapt in this biome as a long climb uphill, where uphill means greater adaptation. In this visualization, an organism that is maximally adapted to the times is situated on a peak. It is easy to imagine a commercial organization substituted for the organism. A company expends great effort to move its butt uphill, or to evolve its product so that it is sitting on top, where it is maximally adapted to the consumer environment.
-
The tightly linked nature of any economy, but especially the Network Economy's ultraconnected constitution, makes it behave ecologically. The fate of individual organizations is not dependent entirely on their own merits, but also on the fate of their neighbors, their allies, their competitors, and, of course, on that of the immediate environment.
-
9 The Law of Devolution
Let go at the top -
For consumers, this is heaven. For those hoping to make a buck, this will be a cruel world. Prices will eventually settle down near the free (gulp!), but quality is completely open-ended at the top.
-
The Network Economy rewards schemes that allow decentralized creation and punishes those that don't. An automobile maker in the industrial age maintains control over all aspects of the car's parts and construction. An automobile maker in the Network Economy will establish
a web of standards and outsourced suppliers, encouraging the web itself to invent the car, seeding the system with knowledge it gives away, engaging as many participants as broadly as possible, in order to create a virtuous loop where every member's success is shared and leveraged by all. -
7 The Law of Generosity
Follow the free -
Over time, any invented product is on a one-way trip over the cliff of inverted pricing and down the curve toward the free. As the Network Economy catches up to all manufactured items, they will all slide down this chute more rapidly than ever. Our job, then, is to create new things to send down the slide - in short, to invent items faster than they are commoditized.
-
What the computer industry calls "standards" is
an attempt to tame the debilitating
abundance of competing possibilities. Standards strengthen a network; their constraints solidify a pathway, allowing innovation and evolution to accelerate.
So central is the need to tame the choice of possibilities that organizations must make the common standard their first allegiance. -
Yet, in every network, the rule is the same. For maximum prosperity, feed the web first.
-
Thus, we see fierce enthusiasm from consumers for open architectures. Users are voting for maximizing the value of the network itself. Companies have to play this way, too. As consultant John Hagel argues, a company's primary focus in a networked world shifts from maximizing the firm's value to maximizing the value of the infrastructure whole.
-
The distinguishing characteristic of networks is that they have no clear center and no clear outer boundaries. The vital distinction between the self (us) and the nonself (them) - once exemplified by the allegiance of the industrial-era organization man - becomes less meaningful in a Network Economy. The only "inside" now is whether you are on the network or off. Individual allegiance moves away from organizations and toward networks and network platforms. (Are you Windows or Mac?)
-
8 The Law of the Allegiance
Feed the web first -
In the Network Economy, follow the free.
-
In a Network Economy, innovations must first be seeded into the inefficiencies of the gift economy to later sprout in the commercial economy's efficiencies.
-
But the migration from ad hoc use to commercialization cannot be rushed.
One of the law of generosity's corollaries is that value in the Network Economy requires a protocommercial stage. Again, wealth feeds off ubiquity, and ubiquity usually mandates some level of sharing. -
Following the free also works in the other direction. If one way to increase product value is to make products free, then many things now without cost hide great value. We can anticipate wealth by following the free.
-
Soon, all manufactured objects, from tennis shoes to hammers to lamp shades to cans of soup, will have embedded in them a tiny sliver of thought. And why
not? -
1 The Law of Connection
Embrace dumb power
</b>
The Network Economy is fed by the deep resonance of two stellar bangs: the collapsing microcosm of chips and the exploding telecosm of connections. These sudden shifts are tearing the old laws of wealth apart and preparing territory for the emerging economy. -
In contrast, all the most promising technologies making their debut now are chiefly due to communication between computers - that is, to connections rather than to computations. And since communication is the basis of culture, fiddling at this level is indeed momentous.
-
One curious aspect of the Network Economy would astound a citizen living in 1897: The very best gets cheaper each year. This rule of thumb is so ingrained
in our contemporary lifestyle that we bank on it without marveling at it. But marvel we should, because this paradox is a major engine of the new economy.
Through most of the industrial age, consumers experienced slight improvements in quality for slight increases in price. But the arrival of the microprocessor flipped the price equation. In the information age, consumers quickly came to count on drastically superior quality for less price over time. The price and quality curves diverge so dramatically that it sometimes seems as if the better something is, the cheaper it will cost. -
Almost from their birth in 1971, microprocessors have lived in the realm of inverted pricing. Now, telecommunications is about to experience the same kind of plunges that microprocessor chips take - halving in price, or doubling in power, every 18 months - but even more drastically. The chip's pricing flip was called Moore's Law. The net's flip is called Gilder's Law, for George Gilder, a radical technotheorist who forecasts that for the foreseeable future (the next 25 years), the total bandwidth of communication systems will triple every 12 months.
-
While it is true that automobiles will never be free, the cost per mile will dip toward the free. It is the function per dollar that continues to
drop. -
In the Network Economy, you can count on the best getting cheaper; as it does, it opens a space around it for something new that is dear. Anticipate the cheap.
-
There is no future for hermetically sealed closed systems in the Network Economy. The more dimensions accessible to member input and creation, the more increasing returns can animate the network, the more the system will feed on itself and prosper. The less it allows these, the more it will be bypassed.
Wired 10.06: The Man Who Cracked The Code to Everything ...
Tags: cellular-automata, complexity-theory, computational-equivalence, emergence, predictions, science, stephen-wolfram, thinkers, wired on 2007-08-30 and saved by4 people -All Annotations (0) -About
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-
When Wolfram studied the printouts on an airline flight from New York to
London, he was thunderstruck. This experiment used the simplest of initial
conditions - one darkened cell on the top row. And the process of generating
future states was elementary. Yet Rule 30 yielded an eruption of the most
complicated, seemingly random output imaginable. (See page 135.) In fact,
there seemed
no end to it. As Wolfram studied it, he began to realize that there was
something profound about how such complexity would arise from a simple
program and began to wonder about the implications. Eventually, he would
conclude that Rule 30 was not an anomaly but a crucial window onto the
way the world operated. -
cellular automata
-
If Wolfram's ideas ultimately are refuted, he will be remembered as one
more brilliant guy who went overboard, verging on megalomania. But even
if he is wrong, A New Kind of Science is an incredible
achievement, one that will richly reward adventuresome readers. Of course,
if he is right, his book indeed belongs to history. Either
way, the world is about to reckon with a scientist who's making the biggest
leap imaginable: remaking science itself, with only his computer and his
brain. -
CAs themselves are abstract
systems that pose a spreadsheetlike universe in which individual cells
move from one condition to another - for example, from dark to light -
one click at
a time, according to what rules have been set for this evolution. These
rules determine the color of the cells in the next iteration, depending
on the conditions of the current pattern. The word automata
refers to the nature of the process, in which the patterns on the grid
evolve depending not on human intervention but on the rules themselves:
Once the initial condition and those rules are set, all a person can do
is sit back and watch. -
The field was the brainchild of the legendary mathematician John von Neumann,
at the suggestion of his friend Stanislaw Ulam. Von Neumann was interested
in the idea of artificial life, particularly self-reproduction. His claim
- which would be echoed by those who went on to study CAs - was that these
systems should not be seen solely as mathematical abstractions but as stripped-down
versions of the universe itself, wherein the pageant of cells turned on
and off on
a checkerboard (or computer screen) could actually stand for the mechanisms
in the physical world. One computer scientist,
Ed Fredkin, the former head of MIT's famous Project MAC, bent some minds
by suggesting that the universe itself was a giant cellular automaton. -
there's a
"definite ultimate model for the universe." What might this be? The mother
of all rules; a single, simple "ultimate rule" that computes everything
from quantum physics to reality television. -
At one point there
was actually a debate about whether there should be notes to the notes. -
As the meal progresses, our talk turns to an enigma that is almost certainly
a computational equivalent of the mysteries of the universe: Wolfram himself.
I point out that in a strange way, this 1,200-page tome with pictures and
diagrams of computer experiments and animal skins and seashells and axioms
is an extremely personal book. Presented in the guise of science are passionate
contentions about religion and free will and the nature of humanity. The
discoveries track its author's obsessions. In a sense, A New Kind
of Science is Stephen Wolfram's autobiography. -
"Three centuries ago science was transformed by the dramatic new idea that
rules based on mathematical equations could be used to describe the natural
world. My purpose in this book is to initiate another such transformation,
and to introduce a new kind of science that is based on the much more general
types of rules that can be embodied in simple computer programs."He goes on to explain that by applying a single key observation - that
the most complicated behavior imaginable arises from very simple rules
- one can view and understand the universe with previously unattainable
clarity and insight. The idea of complexity arising from simple rules -
and that the universe can best be understood by way of the computation
it requires to grind out results from those rules - is at the center of
the book. The big idea is that the algorithm is mightier than the equation. -
As dessert is served, I bring up the secret-of-the-universe question. Wolfram's
theory that there is a single rule at the heart of everything - a single
simple algorithm that, in effect, generates all the rules of physics and
everything else - is bound to be one of his most controversial claims,
a theory that even some of his close friends in physics aren't buying.
Furthermore, Wolfram rubs our faces in the dreary implications of his contention.
Not only does a single measly rule account for everything, but if one day
we actually see the rule, he predicts, we'll probably find it unimpressive.
"One might expect," he writes, "that in the end there would be nothing
special about the rule for our universe - just as there has turned out
to be nothing special about our position in the solar system or the galaxy." -
The Man Who Cracked The Code to Everything ...
... But first it cracked him. The inside story of how Stephen Wolfram went from boy genius to recluse to science renegade.
By Steven Levy
Wired 13.08: We Are the Web
Tags: artificial-intelligence, cyberculture, emergence, gift-economy, internet, kevin-kelly, predictions, technology, thinkers, wired on 2007-08-29 and saved by42 people -All Annotations (6) -About
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But if
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Wikipedia encourages its citizen authors to link each fact in an article to a reference citation. Over time, a Wikipedia article becomes totally underlined in blue as ideas are cross-referenced. That massive cross-referencing is how brains think and remember. It is how neural nets answer questions. It is how our global skin of neurons will adapt autonomously and acquire a higher level of knowledge.
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The more we teach this megacomputer, the more it will assume responsibility for our knowing. It will become our memory. Then it will become our identity.
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There is only one
time in the history of each planet when its inhabitants first wire up its innumerable parts to make one large Machine. Later that Machine may run faster, but there is only one time when it is born.
>
You and I are alive at this moment.
> -
In the years roughly coincidental with the Netscape IPO, humans began animating inert objects with tiny slivers of intelligence, connecting them into a global field, and linking their own minds into a single thing. This will be recognized as the largest, most complex, and most surprising event on the planet. Weaving nerves out of glass and radio waves, our species began wiring up all regions, all processes, all facts and notions into a grand network. From this embryonic neural net was born a collaborative interface for our civilization, a sensing, cognitive device with power that exceeded any previous invention. The Machine provided a new way of thinking (perfect search, total recall) and a new mind for an old species. It was the Beginning.
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And the most universal. By 2015, desktop operating systems will be largely irrelevant. The Web will be the only OS worth coding for. It won't matter what device you use, as long as it runs on the Web OS. You will reach the same distributed computer whether you log on via phone, PDA, laptop, or HDTV.
