Something must be missing. That’s the only possible explanation. Otherwise we humans would naturally live for ever and approach a much higher level of consciousness. It’s as plain as the nose on your face. And while each of us is different, the thing each of us is missing is always imagined as a single common ingredient. It’s a special commodity that once discovered can be sold or given to the entire human race in a transformational act that will fundamentally change the course of human history.
It might be water from a particular fountain or some kind of plant seed from deep in the darkest jungle. The first step is eternal life. Then with time and mortality taken out of the picture we can get down to the business of some kind of perfection. That moment will mark the beginning of the end of our quest.
In the age of networked cloud-based technical solutions, we see this missing piece as coming from computation. Wireless mobile computing puts vast amounts of information at our command or at least within reach. But this is an augmentation, not a filling in of a lack. In the religion of the singularity, it’s the body itself that functions as the flaw. Once the immaterial intelligence (our infinite internal space) is uploaded into an eternally existing industrial cloud computing complex, the fun gets started. The parts that wear out can now be replaced, and replaced with newer and better parts ad infinitum.
Between now and eternal life, there will no doubt be some interim steps. For instance before the body can be confidently discarded and replaced with electronic machinery, it’s likely that we’ll keep our bodies and use ever more sophisticated robots on the side. Even now the replacement of all types of workers with robotic processes is accelerating. We can easily imagine all types of work will soon be replaced with advanced robotics plus big data computation.
Imagine. At birth we’ll be given our first robot. The robot will be assigned to do whatever labor we might have had to do in the past. Credits will be deposited in our account as compensation for the robot’s labor. Everyone will receive a base model robot. Those with more means will be able to augment their robots to do more advanced and highly compensated tasks. And of course, this being the land of the free and the home of the brave, any robot has the potential to be augmented in such a way that it could do the job of President of the United States for somebody. In the eyes of God and law, all robots are created equal. The key political moment was when it was decided that every single person was to be given a robot as a basic right. Initially there was an objection based on the cost. But once robots were building robots from materials obtained and processed by robots, the cost of robots began to approach zero. There were plenty of robots to go around.
And then a day arrives, and we leave our robots behind. Our bodies stop functioning optimally and we agree that it’s time to upload ourselves into that big computer in the sky. At first people held out as long as possible, waiting until they were quite elderly before uploading. More recently, as soon as the bloom of youth is off, an upload may be considered. Our robots can then be reconditioned and assigned to the new people being born into the world. Recycling is so important.
Some people will resist this final exit from the material plane. They’ll spread nasty rumors that the reason robots have been able to replace every possible human job is that they’re actually powered by uploaded souls. The uploaded souls that we think were talking to are really just simulations based on a person’s historical tendencies as encoded in a big database. An actual soul is required to make a robot fully operational for any human capacity, whereas people living in the material world are easily fooled by a simulation of a human. Once the Turing Test was routinely cracked, it wasn’t hard to create satisfactory simulations for each of us. Even the simulations can’t tell simulations from the real thing.
The fantasy of immortality has found various forms over the years. The singularity is just the most recent concoction. But the replacement of labor by robots / machines is a definite reality. One can think of each of the major appliances in an American home as the equivalent of a servant. Labor continues to be displaced by machines, which is a good thing until a majority of people can’t afford to buy a machine of their own.
In the end, we’d like it all to add up. The simplest way for things to add up is through counting. If we’ve got a pile of candy, or money, counting to a higher number is considered a better result. In golf, fewer strokes makes a lower score and thus determines the winner. Another way we add things up is to make a whole. Two arms, two legs, a nose, a mouth, et cetera and at some point we have a body. This kind of mathematics is the basis of the crime drama.
Sherlock Holmes adds things up to create an image of a crime and a criminal. A dog that didn’t bark, a bit of cigarette ash, a kind of writing paper and ink and a print of an uneven heel in the mud flash into a kind of picture of the prime suspect. One of the pleasures of the Holmes stories is following along a chain of deductive reasoning that only seems reasonable in hindsight. Television channels are stuffed with one-hour dramas using Conan Doyle’s template. As we read, or more likely watch, there’s the feeling of a conjuring trick— the creation something out of nothing. Even though, as Holmes likes to say: “You know my methods…” Implied is a sort of mathematical reasoning that operates like a logical sorting machine. Anyone making proper use of the machine would come to the same result, like counting apples in a basket.
The other night I was reading a story featuring a precursor to Holmes. Here the amateur detective is C. Auguste Dupin. The story, written in 1844 by Edgar Allen Poe, is called “The Purloined Letter“. The Prefect of Police has come to Dupin to discuss the case of a letter stolen by a Minister and hidden somewhere in his house.
Dupin’s exploration of the case with the story’s narrator, his version of Watson, begins with an assessment of mathematics, poets and fools:
This functionary, however, has been thoroughly mystified; and the remote source of his defeat lies in the supposition that the Minister is a fool, because he has acquired renown as a poet. All fools are poets; this the Prefect feels; and he is merely guilty of a non distributio medii in thence inferring that all poets are fools.”
“But is this really the poet?” I asked. “There are two brothers, I know; and both have attained reputation in letters. The Minister I believe has written learnedly on the Differential Calculus. He is a mathematician, and no poet.”
“You are mistaken; I know him well; he is both. As poet and mathematician, he would reason well; as mere mathematician, he could not have reasoned at all, and thus would have been at the mercy of the Prefect.”
“You surprise me,” I said, “by these opinions, which have been contradicted by the voice of the world. You do not mean to set at naught the well-digested idea of centuries. The mathematical reason has long been regarded as the reason par excellence.”
Then as now, the “mathematical reason” is regarded as reason par excellence. The Prefect of Police has brought in microscopes and measuring sticks to search every speck of the Minister’s house. He’s been very methodical, no stone has been left unturned. We would expect Dupin to defend mathematical reason as the ne plus ultra, the method that trumps all other methods. The mechanical method that produces a correct result regardless whether humans believe it or not. Instead he launches in to a discourse on the limits of mathematical reason:
“I dispute the availability, and thus the value, of that reason which is cultivated in any especial form other than the abstractly logical. I dispute, in particular, the reason educed by mathematical study. The mathematics are the science of form and quantity; mathematical reasoning is merely logic applied to observation upon form and quantity. The great error lies in supposing that even the truths of what is called pure algebra, are abstract or general truths. And this error is so egregious that I am confounded at the universality with which it has been received. Mathematical axioms are not axioms of general truth. What is true of relation –of form and quantity –is often grossly false in regard to morals, for example. In this latter science it is very usually untrue that the aggregated parts are equal to the whole. In chemistry also the axiom falls. In the consideration of motive it falls; for two motives, each of a given value, have not, necessarily, a value when united, equal to the sum of their values apart. There are numerous other mathematical truths which are only truths within the limits of relation. But the mathematician argues, from his finite truths, through habit, as if they were of an absolutely general applicability –as the world indeed imagines them to be. Bryant, in his very learned ‘Mythology,’ mentions an analogous source of error, when he says that ‘although the Pagan fables are not believed, yet we forget ourselves continually, and make inferences from them as existing realities.’ With the algebraists, however, who are Pagans themselves, the ‘Pagan fables’ are believed, and the inferences are made, not so much through lapse of memory, as through an unaccountable addling of the brains. In short, I never yet encountered the mere mathematician who could be trusted out of equal roots, or one who did not clandestinely hold it as a point of his faith that x squared + px was absolutely and unconditionally equal to q. Say to one of these gentlemen, by way of experiment, if you please, that you believe occasions may occur where x squared + px is not altogether equal to q, and, having made him understand what you mean, get out of his reach as speedily as convenient, for, beyond doubt, he will endeavor to knock you down.”
In the era of “Big Data” the computational power at our disposal is enormous. Big Blue can play chess or the game show Jeopardy. Google Now has a pretty good chance of predicting what you’ll do next and the data set that might prove useful in doing it. Even the NSA and the CIA, continuing the efforts started with ‘Total Information Awareness’, have started collecting and saving every electronic digital trace that is collectable. “Big Data” gives us the sense that we’re seeing high resolution, at zillions of pixels per inch. We could even say that we’re seeing at a resolution that far outstrips the organic capacity of the human eye. It’s in the mind’s eye that this new kind of picture comes into focus.
Just as with the Prefect of Police, there’s an illusion of high-resolution clarity that comes with Big Data. We think we’re seeing everything there is to be seen. And further, that with sufficient amounts of data, all answers will clearly present themselves. I wonder what will happen when we have all the data there is to have and we still can’t find the purloined letter.
We usually think about privacy as the ability to restrict the circulation of personal information. Non-public information stays non-public. In the era of the Network, the personal exhaust we leave as traces on various systems, even if it’s meant to be anonymous, identifies us publicly. Given enough pieces of the puzzle, the full picture of a person can be put together.
Our identity and the identifiers are linked as indexical signs. The foot leaves a footprint in the sand. The last few footprints point to where the next few footsteps will land. Collect enough footprints and the future can be predicted with a high degree of certainty. Implied in this formula is something about both the character and durability of the link between the signifier and the signified.
This idea implies a particular relationship between the acts and the actor—the actor is nothing more than his acts in a positive and un-ironic sense. Past is prolog. And this is where we turn to the question of redemption. The first few lines of T.S. Eliot’s “Burnt Norton” tell us something about the meaning of time present and time past.
Burnt Norton By T.S. Eliot
I
Time present and time past
Are both perhaps present in time future
And time future contained in time past.
If all time is eternally present
All time is unredeemable.
What might have been is an abstraction
Remaining a perpetual possibility
Only in a world of speculation.
What might have been and what has been
Point to one end, which is always present. read more…
“If time future is contained in time past, all time is eternally present, and therefore unredeemable.” As we try to come to terms with the Network, this becomes the crux of the privacy issue. One half of privacy is the ability to keep a set of facts about one’s self hidden. The other side of privacy is the ability to selectively reveal oneself, and that also means to not be, to not choose, to not do what one’s past has predicted. Not as “abstract speculation,” but as a non-linear act in the real world. In any given moment, the character of the facts could change through the exercise of free will.
The predictive and persuasive power of the big data platforms depends on the idea that the system generates the current and future actions of the individual based on recordings of previous actions. All time becomes unredeemable. The bad restaurant will always be a bad restaurant. The drunkard will aways be a drunkard. The successful businessman will always be a successful businessman. The sinner will always be a sinner. The cogs in the machine will always be cogs in a machine.
The moment of redemption, of radical change, is unpredictable, yet perfectly possible for each and every one of us at any time. For no reason. Somewhere.
A few year-end thoughts about the Network have been rattling around my skull. This is probably a continuation of the exploration of the ‘finite shapes of growth.’ The real-time social messaging space seems to have reached a saturation point, and therefore the upper end of the sigmoidal growth curve. The big single-index real-time systems have exerted their dominance and are largely engaged in enabling features that increase the density of connections within the territory they’ve already marked out. The second-tier systems will struggle and many will fall to the wayside. A few will stand waiting in the wings for the possible moment when a first-tier player stumbles.
After walking around the block several times, pulling on all the doors, trying to find a way into this exploration, I ended up with the word: “medium.” Medium, as in the physical channel through which messages are passed; and medium as in a culture medium used to grow micro-organisms or cells. Medium can also be understood as the time/space aspect of an object, its identity/variability. When we consider ‘big data’ on the Network, we seem to be talking about creating and maintaining a medium where higher-level statistical objects can be grown. These meta-patterns are made visible through feats of data collection and statistical computation. It’s analogous to cataloging weather events and other data to model climate change. “Climate” as a dynamic entity only becomes visible through the deployment of a large network of sensors hooked up to computers updating a model in real time. Weather is visible as the raindrops that keep falling on your head, climate is visible only through a complex computational sensing system to which only a few people have access.
The business model of harvesting these higher-level patterns has generally involved slicing up the data into the groups of people who create these patterns. Lists of these target audiences are rented to commercial interests, and recently so is the messaging apparatus and the communications medium. A well-targeted message should show increased effectiveness in confirmed delivery and lead to net positive transactions. If you think about it, all of these new real-time social media companies are in the television business. However, if you have a business you can contact staffing companies in columbia sc to get help from their teams. Television is transformed into a container that holds a message stream of condensed multiple media types on the Network. This medium is designed to grow various audiences (meta-patterns) to harvest and take to market. Once a certain scale is achieved this set up becomes a cash machine. The energy to grow the crop is largely supplied by the participants using the system. The users of the system gain access to a simple real-time content management system along with a flat view of a subscription stream. The valuable patterns are reserved for exploitation by the owners of the system.
When you look at the imposition of the real-time social media model on to the corporate enterprise, you’ll see the same model. The valuable patterns are reserved for management. The corporate enterprise will spend a lot of money attempting to absorb this new model of television in the coming year. It will allow each corporation to become its own media company. It should be noted that a person is not ‘social’ when using corporate social media behind a firewall. An employee is a human resource to be profitably deployed, not a person. The idea isn’t to empower people, it’s to provide data to management. The pattern data belongs to the central management structure and it will be used to create and refine the workings of a well-oiled machine–of which the employee will be a replaceable part. The entire benefit accrues to the survival, growth and sustainability of the corporation, not to the individual person. Can you imagine a social media revolution within a corporation that drives the current C-level executives from power? The power structure within the corporate enterprise will use the system to maintain and refine their power, all the while, selling the use of the system as a democratization. For instance, it’s unlikely that unions would be allowed to use a real-time corporate social media system to organize workers and collect violations of work rules.
If the single central-index model has reached a saturation point, does that mean the Network has reached maturity and an end to its growth phase? The Network can accommodate other models and I expect we’ll see some rapid experimentation over the next few years. The key to these new models will involve pushing valuable meta-data patterns to the endpoints of the Network. Simple examples include mobile applications that function as commuter traffic data collectives. Members contribute reports of their own traffic data to a pool and in exchange they received a general picture of traffic conditions. This is similar to the dynamic of reporting weather data and receiving compiled climate reports in return. The key difference is that when data is contributed, access to meta-data patterns is guaranteed.
Clay Shirky uncovered a vast resource when he wrote about cognitive surplus. We can easily ask what might be accomplished should all those hours of passive television viewing be turned into two-way networked interactions. In a sense, this is the rediscovery of the Network as a commons. Not as a common natural resource for each to exploit, but as a common resource built by all the participants. Another untapped resource was uncovered by John Thackara in his book “In the Bubble: Designing in a Complex World.” In our consumer society it’s a point of honor to keep up with the Jones’s. We each buy our own industrially-produced copy of the latest prescribed set of consumer objects. We accumulate and store them as quickly as we can. But as Thackara notes, we purchase and store, accumulating social capital. We are known as the kind of person who can, and did, buy that particular thing. We rarely use what we buy, its use-value remains untapped—it sits passively in the garage or the hall closet. eBay and Craigslist have emerged as the markets where this passive value is converted back into capital. Here’s Thackara on the eco-economics of the power tool:
Power tools are another example. The average consumer power tool is used for ten minutes in its entire life—but it takes hundreds of times its own weight to manufacture such an object. Why own one, if I can get ahold of one when I need it? A ‘product-service system’ provides me with access to the products, tools, opportunities, and capabilities I need to get the job done—namely, power tools for to use, but not own.
Service design is about arranging things so that people who need things done are connected to other people and equipment that get things done—on an as- and when-needed basis. The technical term, which comes from the logistics industry, is “dynamic resource allocation in real time.” Agricultural cooperatives that purchase tractors and sell their use-time to associates are well-known examples, but once one starts looking, examples spring up everywhere: a home delivery service for detergents in Italy, a mobile laboratory for industrial users of lubricants in Germany, dozens of car-sharing schemes, an organic vegetable subscription system in Holland. Industrial ecologists Francois Jegou and Ezio Manzini found enough examples to fill a book, ‘Sustainable Everyday: A Catalogue of Promising Solutions’, which is filled with novel daily life services that they discovered around the world. These are ‘planning activities whose objective is a system,’ Manzini told me. Hundreds of services suitable for a resource-limited, complex, and fluid world are being developed by grassroots innovators: those that enable people to take care of other people, work, study, move around, find food, eat, and share equipment.
Local systems that enable dynamic resource allocation in real time of local resources, which includes both data patterns and physical resources, would allow a kind of optimization of value by ordinary people that has previously been reserved for the corporation. Some nascent examples of this include, Phil Windley’sKynetx network scripting platform. Windley talks about a Kynetx script that runs on his browser while looking at the Amazon site. The script instantly tells him whether the book he’s looking at is available in his local library. One can easily imagine a similar scenario involving power tools or other kinds of durable resources. Mobile computing expands the purview of this kind of scripting from web pages on the Network to objects in the real world. This is sometimes called the internet of things. It’s not the point of connection, but rather the advent of scriptability that makes these things creatures of the Network.
Another example is Jon Udell’sElm City Project — a project to create networked data hubs and librarians of announcements of local community events. Solving the problem of translating and integrating the various methods in which calendar data is recorded is transformed into the production of a meta-data object that provides a wide view of the public events occurring in a locality. We don’t yet know the effect increased visibility of public events will have on a citizenry, but providing a higher-level view of the event life of a community feels like an entirely democratic endeavor. In times of peace and prosperity, an effort like this is non-controversial. In times of political strife, it attains the status of a public square and its commitment to openness will be tested.
While the shared resource of a power tool seems like a simple thing, it implies some very complex social group dynamics. It’s only with the rise of the sociality of the Network along with the politics of the 99% that we may have the ground for learning how to share a larger set of resources with more diverse groups. David Graeber, in his book, “Debt“, describes what he calls baseline communism. By this he means the understanding that unless people consider themselves to be enemies, if the need is considered great enough, or the cost considered reasonable enough, the principle of ‘from each according to their abilities, to each according to their needs” will be assumed to apply. Here’s Graeber:
Baseline communism might be considered the raw material of sociality, a recognition of our ultimate interdependence that is the ultimate substance of social peace. Still, in most circumstances, that minimal baseline is not enough. One always behaves in a spirit of solidarity more with some people than with others, and certain institutions are specifically based on principles of solidarity and mutual aid. First among these are those we love, with mothers being the paradigm of selfless love. Others include close relatives, wives and husbands, lovers, one’s closest friends. These are the people with whom we share everything, or at least to whom we know we can turn in need, which is the definition of a true friend everywhere. Such friendships may be formalized by a ritual as “bond-friends” or “blood brothers” who cannot refuse each other anything. As a result, any community could be seen as criss-crossed with relations of “individualistic communism,” one-to-one relations that operate, to varying intensities and degrees, on the basis of “from each according to their ability, to each according to their needs.”
This same logic can be, and is, extended within groups: not only cooperative work groups, but almost any in-group will define itself by creating its own sort of baseline communism. There will be certain things shared or made freely available within the group, others that anyone will be expected to provide for other members on request, that one would never share with or provide to outsiders: help in repairing one’s nets in an association of fisherman, stationery supplies in an office, certain sorts of information among commodity traders, and so forth. Also, certain categories of people we can always call on in certain situations, such as harvesting or moving house. Once could go on from here to various forms of sharing, pooling, who gets to call on whom for help with certain tasks: moving, or harvesting, or even, if one is in trouble, providing an interest-free loan. Finally, there are the different sorts of “commons,” the collective administration of common resource.
The sociology of everyday communism is a potentially enormous field, but one which, owing to our peculiar ideological blinkers, we have been unable to write about because we have been largely unable to see it.
While networked computational tools can assist us in expanding the scope and breadth of the sharing we do with groups and individuals, it’s our ability to navigate the new social customs and ceremonies of the Network that will determine how far all this spreads. It’s a counter-cultural idea, instead of placing the highest value on independence and individuality, it takes us down the path of interdependence and coexistence. And this brings us back to this idea of a growth medium. As the old year ends, and the new one begins, I’m imagining an as yet unpublished Whole Earth Catalog filled with tools and perspectives on how we might grow this new crop in the fields of the Network. It’s a thing that “is” what it describes.
If Winter comes, can Spring be far behind?
– Percy Bysshe Shelley
