Read Who Owns the Future? Online
Authors: Jaron Lanier
Tags: #Future Studies, #Social Science, #Computers, #General, #E-Commerce, #Internet, #Business & Economics
Once you see it, it’s so clear. A mortgage is similar to a music file. A securitized mortgage is similar to a pirated music file.
In either case, no
immediate
harm was done to the person who once upon a time stood to gain a levee benefit. After all, what has happened is just a setting of bits in someone else’s computer. Nothing but an abstract copy has been created; a silent, small change, far away. In the long term, the real people at the source
are
harmed, however.
CHAPTER 5
“Siren Servers”
There Can’t Be Complexity Without Ambiguity
We are aware of emergent, complex problems like global climate change only because of how much data there is. But there are special challenges in assessing problems that come into our awareness because of big data. It’s hard to confirm that such broad problems definitely exist. Then, even if a consensus emerges about existence, it is hard to test remedies. One truism has emerged in the networked age. The mere existence of big data doesn’t mean that people will agree about what it means.
The problem I am acting on is that a particular way of digitizing economic and cultural activity will ultimately shrink the economy while concentrating wealth and power in new ways that are not sustainable. That mistake is setting us up for avoidable traumas, as machines get much better in this century.
Some will say that the problem I worry about does not even exist. There is a legitimate claim of ambiguity on this point, and that ambiguity is completely typical of how problems present themselves in our modern world of networked big data. For instance, one might argue that some of the hundred-thousand-plus jobs that seem to have been lost in the transition from Kodak to Instagram will be made up for because people will be able to use photo sharing to sell their handicrafts more efficiently. While this might turn out to be true in one instance or another, I argue it is false in the big picture.
My initial interest was motivated by a simple question: If network technology is supposed to be so good for everyone, why has the developed
world suffered so much just as the technology has become widespread? Why was there so much economic pain at once all over the developed world just as computer networking dug in to every aspect of human activity, in the early 21st century? Was it a coincidence?
There are a number of different explanations for the Great Recession that can be helpful. Brushing up against fundamental limits to growth is part of it, as is the rise of new powers of India, China, and Brazil, so that suddenly there are more customers with means bidding for the same resource base. There are also a lot more old people in most parts of the developed world, and more ways to spend money on their medical care than ever before.
But there’s something else going on as well, which is that the mechanisms of finance failed and screwed almost everybody. If we acknowledge the extraordinary way in which virtually the whole developed world seemed to go into hopeless debt at once, an explanation is demanded beyond the rise of China, or the expense of social safety nets in southern Europe, or deregulation in the United States.
There’s a simple answer to the mystery: Finance got networked in the wrong way. The big kinds of computation that have made certain other industries like music “efficient” from a particular point of view were applied to finance, and that broke finance. It made finance stupid.
Consider the expansion of the financial sector prior to the Great Recession. It’s not as if that sector was accomplishing any more than it ever had. If its product is to manage risk, it clearly did a terrible job. It expanded purely because of its top positions on networks. Moral hazard has never met a more efficient amplifier than a digital network. The more influential digital networks become, the more potential moral hazard we’ll see, unless we change the architecture.
A First Pass at a Definition
A Siren Server, as I will refer to such a thing, is an elite computer, or coordinated collection of computers, on a network. It is characterized by narcissism, hyperamplified risk aversion, and extreme information asymmetry. It is the winner of an all-or-nothing contest,
and it inflicts smaller all-or-nothing contests on those who interact with it.
Siren Servers gather data from the network, often without having to pay for it. The data is analyzed using the most powerful available computers, run by the very best available technical people. The results of the analysis are kept secret, but are used to manipulate the rest of the world to advantage.
That plan will always eventually backfire, because the rest of the world cannot indefinitely absorb the increased risk, cost, and waste dispersed by a Siren Server. Homer sternly warned sailors to not succumb to the call of the sirens, and yet was entirely complacent about Hephaestus’s golden female robots. But Sirens might be even more dangerous in inorganic form, because it is then that we are really most looking at ourselves in disguise. It is not the siren who harms the sailor, but the sailor’s inability to think straight. So it is with us and our machines.
Siren Servers are fated by their nature to sow illusions. They are cousins to another seductive literary creature, star of the famous thought experiment known as Maxwell’s Demon, after the great 19th century physicist James Clerk Maxwell. The demon is an imaginary creature that, if it could only exist, would be able to implement a perpetual motion machine and perform other supernatural tricks.
Maxwell’s Demon might be stationed at a tiny door separating two chambers filled with water or air. It would only allow hot molecules to pass one way, and cold molecules to pass in the opposite direction. After a while, one side would be hot and the other cold, and you could let them mix again, rushing together so quickly that the stream could run a generator. In that way, the tiny act of discriminating between hot and cold would produce infinite energy, because you could repeat the process forever.
The reason Maxwell’s Demon cannot exist is that it does take resources to perform an act of discrimination. We imagine computation is free, but it never is. The very act of choosing which particle is cold or hot itself becomes an energy drain and a source of waste heat. The principle is also known as “no free lunch.”
We do our best to implement Maxwell’s Demon whenever we manipulate reality with our technologies, but we can never do so
perfectly; we certainly can’t get ahead of the game, which is known as entropy. All the air conditioners in a city emit heat that makes the city hotter overall. While you can implement what seems to be a Maxwell’s Demon if you don’t look too far or too closely, in the big picture you always lose more than you gain.
Every bit in a computer is a wannabe Maxwell’s Demon, separating the state of “one” from the state of “zero” for a while, at a cost. A computer on a network can also act like a wannabe demon if it tries to sort data from networked people into one or the other side of some imaginary door, while pretending there is no cost or risk involved. For instance, a Siren Server might allow only those who would be cheap to insure through a doorway (to become insured) in order to make a supernaturally ideal, low-risk insurance company. Such a scheme would let high-risk people pass one way, and low-risk ones pass the other way, in order to implement a phony perpetual motion machine out of a human society. However, the uninsured would not cease to exist; rather, they would instead add to the cost of the whole system, which includes the people who run the Siren Server. A short-term illusion of risk reduction would actually lead to increased risk in the longer term.
Where Sirens Beckon
Some of the prominent present-day Siren Servers include high-tech finance schemes, like high-frequency trading or derivatives funds, fashionable Silicon Valley consumer-facing businesses like search or social networking, modern insurance, modern intelligence agencies, and a multitude of other examples.
The latest waves of high-tech innovation have not created jobs like the old ones did.
*
Iconic new ventures like Facebook employ vastly fewer people than big older companies like, say, General
Motors. Put another way, the new schemes, the Siren Servers, channel much of the productivity of ordinary people into an informal economy of barter and reputation, while concentrating the extracted old-fashioned wealth for themselves. All activity that takes place over digital networks becomes subject to arbitrage, in the sense that risk is routed to whoever suffers lesser computation resources.
*
This is documented in Martin Ford’s book
The Lights in the Tunnel
(2009). He sees jobs going away, and proposes that people in the future be paid only for consuming wisely, since they eventually won’t be needed for producing anything. I find that idea inadequately human-centric and overly dismal, but it is an interesting contrast to my proposal.
The universal advice of our times is that people who want to do well, as information technology advances, will need to double down on their technical educations, and learn to be entrepreneurial and adaptable. These are the skills that might win you a position close to a Siren Server.
Planning to get as close as possible to a Siren Server is good advice in the near term. That is how the great fortunes of our age are being made. But there won’t be enough positions close to Siren Servers to sustain a society unless we change the way we do things.
CHAPTER 6
The Specter of the Perfect Investment
Our Free Lunch
The specter of perfect investing haunts Silicon Valley. Wall Street and other theaters where digital networks channel human activity are similarly haunted.
A “perfect investment” in a Siren Server can be arbitrarily small, initially, but will yield titanic rewards, and often quickly. It will require remarkably few early employees or co-investors, and little power sharing. Even once it becomes gargantuan it will remain a rather unpopulated venture.
One needn’t know exactly how the perfect investment will make money in advance, since the point is to channel information. Information and money are mutable cousins, so the investor will become rich without needing to know how. (Indeed, money might not even be the object, though even in that case, a large number of ordinary people will still lose some of their economic prospects
*
in order to support the influence and prominence of a Siren Server.)
*
Wikipedia and nonprofit share sites have this quality.
The perfect investment presides at an arm’s length from real events in the world, so that it barely takes on liability. It ideally doesn’t do or make anything. The plan is simply to channel the information of those who do act in the world. It is those actors who take risks, not the perfect investment.
†
†
This goes beyond the traditional idea of cost externalization, to automated, unexamined risk externalization.
For example, it is not YouTube’s job to notice that someone has posted copyrighted video. Misrepresented assets flowed through Great Recession–era funds that were bailed out, but as of this writing most of the beneficiaries have escaped any of the downsides, which were radiated out to taxpayers and ground-level investors. The responsibility for fixing problems enabled by the perfect investment lies with those sorry souls who are fated to act and take risks in the disadvantaged neighborhood that is reality.
The perfect investment will quickly anneal into an impermeable and unchallengeable position, by nature a monopoly in its domain. Competition in a traditional sense might appear, but it will never achieve more than a token status. (I use the term
monopoly
here not in the legal sense, as in antitrust law, but in the vernacular Silicon Valley sense. For instance, Peter Thiel, founder of PayPal and a foundational investor in Facebook, taught students in his Stanford course on startups to find a way to create “monopolies.”)
Candy
The primary business of digital networking has come to be the creation of ultrasecret mega-dossiers about what others are doing, and using this information to concentrate money and power. It doesn’t matter whether the concentration is called a social network, an insurance company, a derivatives fund, a search engine, or an online store. It’s all fundamentally the same. Whatever the intent might have been, the result is a wielding of digital technology against the future of the middle class.
I know many of the people who run the biggest, richest servers, where the money and power are being concentrated. They’re remarkably decent, for the most part. You couldn’t ask for a nicer elite. But that doesn’t really help. Iconic online empires have been accepted as sacrosanct. It’s okay to notice in the abstract that free online services aren’t creating as many jobs as they destroy, but we still hold up these newfangled companies as examples of how innovation will drive the economy.
The problem is broad and we are all part of it. Individuals of high or low station are not reasonably able to avoid playing along in an immediately compelling system, even if that system is destroying itself in the big picture. Who wouldn’t want to get a quick online ego boost, or accept an insanely great deal on an online coupon, or insanely easy home mortgage financing? These might seem like unrelated temptations, but they reveal themselves to be similar once you think about information systems in the terms of information, instead of imposing outdated categories on them.
In each case, someone is practically blackmailed by the distortions of playing the pawn in someone else’s network. It’s a weird kind of stealth blackmail because if you look at what’s in front of you, the deal looks sweet, but you don’t see all that
should
be in front of you.