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Category: difference

The Enculturation of the Network: Totem and Taboo

Thinking about what it might mean to stand at the intersection of technology and the humanities has resulted in an exploration with a very circuitous route.

The Network has been infused with humanity, with every aspect of human character— the bright possibilities and the tragic flaws.

On May 29, 1919, Arthur Stanley Eddington took some photographs of a total eclipse of the sun. Eddington had gone to Africa to conduct an experiment that might determine whether Newton’s or Einstein’s model was closer to physical reality.

During the eclipse, he took pictures of the stars in the region around the Sun. According to the theory of general relativity, stars with light rays that passed near the Sun would appear to have been slightly shifted because their light had been curved by its gravitational field. This effect is noticeable only during eclipses, since otherwise the Sun’s brightness obscures the affected stars. Eddington showed that Newtonian gravitation could be interpreted to predict half the shift predicted by Einstein.

My understanding of the physics is rather shallow, my interest is more in the metaphorics— in how the word-pictures we use to describe and think about the universe changed based on a photograph. Where the universe lined up nicely on a grid before the photograph, afterwards, space became curvaceous. Mass and gravity bent the space that light passed through. Assumed constants moved into the category of relativity.

The Network also appears to be composed of a neutral grid, its name space, through which passes what we generically call payloads of “content.” Each location has a unique identifier; the only requirement for adding a location is that its name not already be in use. You can’t stand where someone is already standing unless you displace them. No central authority examines the suitability of the node’s payload prior to its addition to the Network.

The universe of these location names is expanding at an accelerating rate. The number of addresses on the Network quickly outstripped our ability to both put them into a curated index and use, or even understand, that index. Search engines put as much of the Network as they can spider into the index and then use software algorithms to a determine a priority order of the contents of the index based on keyword queries. The search engine itself attempts to be a neutral medium through with the nodes of the Network are prioritized based on user query input.

Regardless of the query asked, the method of deriving the list of prioritized results is the same. The method and production cost for each query is identical. This kind of equal handling of Network nodes with regard to user queries is the search engine equivalent of freedom, opportunity and meritocracy for those adding and updating nodes on the Network. The algorithms operate without prejudice.

The differential value of the queries and prioritized link lists is derived through an auction process. The cost of producing each query/result set is the same—it is a commodity—but the price of buying advertising is determined by the intensity of the advertiser’s desire. The economics of the Network requires that we develop strategies for versioning digital commodities and enable pricing systems linked to desire rather than cost of production. Our discussions about “Free” have to do with cost-based pricing for digital information goods. However, it’s by overlaying a map of our desires on to the digital commodity that we start to see the contours, the curvaceousness of this space, the segments where versioning can occur.

We’ve posited that the search algorithm treats all nodes on the Network equally. And more and more, we take the Network to be a medium that can fully represent human life. In fact, through various augmented reality applications, human reality and the Network are sometimes combined into a synthetic blend (medium and message). Implicitly we also seem to be asserting a kind of isomorphism between human life and the Network. For instance, sometimes we’ll say that on the Network, we “publish everything, and filter later.” The gist of this aphorism is that where there are economics of low-or-no-cost production, there’s no need to filter for quality in advance of production and transfer to the Network. Everything can be re-produced on the Network and then sorted out later. But when we use the word “everything,” do we really mean everything?

The neutral medium of the Network allows us to disregard the payload of contents. Everything is equivalent. A comparison could be made to the medium of language— anything can be expressed. But as the Network becomes more social, we begin to see the shape of our society emerge within the graph of nodes. Sigmund Freud, in his 1913 book entitled Totem and Taboo, looks at the markers that we place on the border of what is considered socially acceptable behavior. Ostensibly, the book examines the resemblances between the mental life of savages and neurotics. (You’ll need to disregard the archaic attitudes regarding non-European cultures)

We should certainly not expect that the sexual life of these poor, naked cannibals would be moral in our sense or that their sexual instincts would be subjected to any great degree of restriction. Yet we find that they set before themselves with the most scrupulous care and the most painful severity the aim of avoiding incestuous sexual relations. Indeed, their whole social organization seems to serve that purpose or to have been brought into relation with its attainment.

Freud is pointing to the idea that social organization, while certainly containing positive gestures, reserves its use of laws, restrictions and mores for the negative gesture. The structure of societal organization to a large extent rests on what is excluded, what is not allowed. He finds this common characteristic in otherwise very diverse socio-cultural groups. Totems and taboos bend and structure the space that our culture passes through.

In the safesearch filters employed by search engines we can see the ego, id and superego play out their roles. When we search for transgressive content, we remove all filtering. But presumably, we do, as a member of a society, filter everything before we re-produce it on the Network. Our “unfiltered” content payloads are pre-filtered through our social contract. Part of the uncomfortableness we have with the Network is that once transgressive material is embodied in the Network, the algorithms disregard any difference between the social and the anti-social. A boundary that is plainly visible to the human— and is in fact a structural component of its identity and society, is invisible to the machine. Every node on the Network is processed identically through the algorithm.

This issue has also been raised in discussions about the possibility of artificial intelligence. In his book Mirror Worlds, David Gelernter discusses a key difference between human memory and machine memory:

Well for one thing, certain memories make you feel good. The original experience included a “feeling good” sensation, and so the tape has “feel good” recorded on it, and when you recall the memory— you feel good. And likewise, one reason you choose (or unconsciously decide) not to recall certain memories is that they have “feel bad” recorded on them, and so remembering them makes you feel bad.

But obviously, the software version of remembering has no emotional compass. To some extent, that’s good: Software won’t suppress, repress or forget some illuminating case because (say) it made a complete fool of itself when the case was first presented. Objectivity is powerful.

Objectivity is very powerful. Part of that power lies in not being subject to personal foibles and follies with regard to the handling, sorting, connecting and prioritizing of data. The dark side of that power is that the objectivity of the algorithm is not subject to social prohibitions either. They simply don’t register. To some extent technology views society and culture as a form of exception processing, a hack grafted on to the system. As the Network is enculturated, we are faced with the stark visibility of terrorism, perversity, criminality, and prejudice. On the Network, everything is just one click away. Transgression isn’t hidden in the darkness. On the Network, the light has not yet been divided from the darkness. In its neutrality there is a sort of flatness, a lack of dimensionality and perspective. There’s no chiaroscuro to provide a sense of volume, emotion, limit and mystery.

And finally here’s the link back to the starting point of this exploration. A kind of libertarian connection has been made between the neutral quality of the medium of the Network and our experience of freedom in a democratic republic. The machine-like disregard for human mores and cultural practices is held up as virtue and example for human behavior. No limits can be imposed on the payloads attached to any node of the Network. The libertarian view might be stated that the fewest number of limitations should be applied to payloads while still maintaining some semblance of society. Freud is instructive here: our society is fundamentally defined by what we exclude, by what we leave out, and by what we push out. While our society is more and more inclusive, everything is not included. Mass and gravity bend the space that light passes through.

The major debates on the Network seem to line up with the contours of this pattern. China excludes Google and Google excludes China. Pornographic applications are banished from Apple’s AppStore. Android excludes nothing. Closed is excluded by Open, Open is included by Closed. Spam wants to be included, users want to exclude spam. Anonymous commenters and trolls should be excluded. Facebook must decide what the limits of speech are within the confines of its domain. The open internet excludes nothing. Facebook has excluded the wrong thing. The open internet has a right to make your trade secrets visible. As any node on the Network becomes a potential node in Facebook’s social/semantic graph, are there nodes that should be taboo? How do we build a civil society within the neutral medium of the Network? Can a society exist in which nothing is excluded?

In the early days of the Network, it was owned and occupied by technologists and scientists. The rest of humanity was excluded. As the Network absorbs new tribes and a broader array of participants, its character and its social contract has changed. It’s a signal of a power shift, a dramatic change in the landscape. And if you happen to be standing at the crossroads of technology and the humanities, you might have a pretty good view of where we’re going.

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Reflections On The Shape I’m In

The idea of a ‘MirrorWorld’ is very powerful metaphorically. It’s as though the vital and valuable parts of our world are taking root in the Network and creating— not a shadow existence, but a reflection of the shape of our lives. The personal computer has been the portal through which we viewed this reflection. It’s also been the tool we used to build this reflecting pond.

It occurred to me that the iPad is responding to the evolving shape of the Network. We think of augmented reality as something written on top of the base field of the reality around us. The Network, in the sense that it reflects our lived world, is already an augmentation of reality. The portal to that real-time reflection looks more and more like an iPad, and less and less like a personal computer. Perhaps we’re in an in-between state— we don’t yet know the shape we’re in.

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Antagonyms, Social Circles and Chattering about VRM

Throwing all the pieces out on the table, we connect the dots to make pictures. It’s a child’s game, creating figures out what look like a random set of numbered points. We tend to visualize the network of our social graph as a series of connected points. The pictures that emerge from those connections tell a story about our lives and experiences.

One of the interesting things about random sets of dots is that we tend to group them based on proximity, similarity, closure and continuation. We project pictures on to the dots, and once we see a particular picture, sometimes it’s hard to realize that someone might put the same set of dots together into something entirely different. It could even be an image that has the exact opposite meaning as the picture we see.

There are a couple of words used to describe a word that can mean the opposite of itself. Here are some examples of Antagonyms (or Contranyms):

Overlook: to pay attention to, to inspect (“We had time to overlook the contract.”) vs. to ignore
Oversight: Watchful and responsible care vs. An omission or error due to carelessness

It’s the context that tilts the meaning of the word this way or that.

When you think about the set of people you may be connected to within a large company, you can overlay several kinds of connections. A person may be a colleague, they might be in the same division, have the same pay grade, be part of a project, be a friend, or even a relative. In fact, we make a virtue out of the idea that the people we work with could also be our friends. Many companies like to talk about their employees as being like a family.

Google tested their Buzz product inside the walls of their company. No doubt it was used for work, play and a whole range of unforeseen kinds of communication. After a while all those modes of communication began to blend together. The boundaries between them broke down. Just as email and IM are used for personal and business purposes, Buzz would naturally be used in the same way. From a business perspective, the dots were connected into a powerful image of collaboration and efficiency. Twitter/FriendFeed clearly worked great as an enterprise application.

The personal, public and business realms are overlapping images that can be mapped to the same set of dots. However, it’s the exclusive disjunction of these sets that defines the boundaries. In some cases, the boundaries need to be strong and impenetrable. These are the cases Google didn’t consider carefully enough in their launch scenario. Other times a co-worker becomes a friend, or someone you went to school with becomes a colleague. Or maybe you just decided to start following your company’s CEO on Twitter. The context of the interaction tilts the meaning of the connection. There’s not a bright line separating our private, public and business lives that can be applied as a definitive rule.

Google launched Buzz as a consumer product, but tested it as an enterprise product. Although they plan to quickly integrate it into their office application suite. But like all messaging tools it will have a public and a private mode. It will address and contain personal, public and business conversation threads. And by flowing data from a user’s social circle and the real-time flow of Buzz (effectively a ping server) into their search algorithm, results pages can be personalized by social graph in real time.

Meanwhile, SalesForce.com introduces Chatter to the enterprise and rolls it out at no extra charge to all employees on the internal network. And while it will start inside the enterprise, Chatter will quickly expand to the boundaries and begin to cross over. From a business perspective, it’ll be used to turbo-charge collaboration and create real-time communication for project teams and business units. But very quickly you’ll see friends sending messages to each other about meeting up for lunch, and a public-personal communications channel will be opened within the enterprise. And the circles will connect and widen from there.

Here are a couple more Contranyms:

clip (attach to)  – clip (cut off from)

cleave (to cut apart)  – cleave (to seal together)

Salesforce.com calls itself the leader in Customer Relationship Management and Cloud Computing. Chatter may just be the communication medium that ultimately contains both CRM and its opposite number, VRM. Vendor Relationship Management is a reaction to the data toolsets belonging to the enterprise and not to the individual customer.

In a narrow sense, VRM is the reciprocal — the customer side — of CRM (or Customer Relationship Management). VRM tools provide customers with the means to bear their side of the relationship burden. They relieve CRM of the perceived need to “capture,” “acquire,” “lock in,” “manage,” and otherwise employ the language and thinking of slave-owners when dealing with customers. With VRM operating on the customer’s side, CRM systems will no longer be alone in trying to improve the ways companies relate to customers. Customers will be also be involved, as fully empowered participants, rather than as captive followers.

If you were to think about what kind of infrastructure you’d want to run VRM on, Salesforce.com would be ideal. To run the mirror image of CRM, you need the same set of services and scale. The individual Chatter account could be the doorway to a set of VRM services. I can already see developers using the Force.com platform to populate a VRM app store.

Some corporations will attempt to maximize the business value of each individual worker, stripping out all the extraneous human factors. Chinese walls will be erected to keep the outside from the inside, the personal from the business, and the public from the private. But when you put messaging and communications tools into the hands of people they will find ways to talk to each other— about work, life, play, the project, and the joke they just heard at the water cooler.

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Symmetric Difference: Human and Machine Intelligence

As we move into the teens, the decade of 2010, the speed of change will continue accelerate. With the advent of the Android operating system, cloud computing, advances in nanotechnologies and a resurgence in the field of artificial intelligence — all the ingredients are assembled to establish the primitives of what some call the singularity. That moment when intelligence becomes detached from humanity and operates independently and at vast scale. Of course, none of this may happen. It’s a possible future that was imagined in the 1950s and 60s. And although its characteristics were generally dystopian, it’s a future with an irresistible pull.

The hidden question in all of our work on injecting a form of intelligence into our algorithms is what can’t be virtualized? What is the symmetric difference, or the exclusive disjunction, between human and machine intelligence? Will these two sets become identical at some point, or will there always be a remainder? And if there is a remainder, what is its importance and value?

Philip K. Dick’s last interview was transcribed and published in a book called: “What If Our World Is Their Heaven.” The interview took place shortly before the premiere of the film Blade Runner, which was based on his novella “Do Androids Dream of Electric Sheep.” Dick spent a lot of time thinking, and exploring through his fiction, where the boundary lies between human and machine intelligence:

You notice an actual change in her thoughts. They begin to get rigid, brittle, and cold, and mechanical. And she turns into that android figure which is my metaphor for the dehumanized person, as you know, who is someone who is less than human—that essential quality that distinguishes a human being is essentially compassion or kindness, that—it’s not intelligence. An android—or in the film Blade Runner it’s called “replicant“—can be very intelligent, but it’s not really human. Because it’s not intelligence that makes a human being; in my opinion it’s the quality of kindness or compassion or whatever—who know, the Christians call it “agape.”

Minimizing the difference between human and machine intelligence is at first a competitive advantage for the businesses that build and sell machines. Later, discovering that difference becomes an essential imperative.

The gender of machines, and especially when we project gender on to machines, provides a lucid visualization of our fantasies and desires. The machine is a blank slate, the android is a particular kind of fantasy expressed through design, engineering and manufacturing.

There’s a moment when the line blurs, where the humanity of the replicant surpasses that of the human charged with hunting it down and terminating it. It’s just that blurriness, the absence of the remainder that seems to threaten humanity.

Of course this kind of narrative is all speculative fiction, the stuff of comic books and graphic novels. Isn’t it?

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