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Category: collaboration

The Silo & The Pipe: Doc Searls gets Venezuelan

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It’s a rare thing that I read a Doc Searls post and start shaking my head half way through. The recent $100 million investment in Twitter, bringing their valuation to $1 billion, has unleashed  a torrent of criticism. Driving my daughter to school the other day, I heard an “analyst” on NPR chirp that Twitter couldn’t be worth $1 billion because it was just a fad, that people might stop using it tomorrow and the bottom would fall out. If using Twitter were a random activity that returned no value, I suppose that could be true. Just as people could decide to stop going to the movies, stop eating pizza or stop listening to “analysts” on NPR. If the value of something is disregarded at the start, it’s rather difficult to speak sincerely of valuation.

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Searls’s criticism is a reprise of the open source silo meme. The drumbeat for the nationalization of Twitter has re-emerged. The capitalist pigs at Twitter have chosen to build a business rather than contribute their technology to the open source technology commons. Praise is sung for linux, rss, email and http. If only Twitter would see the light and release what they have to benefit the common good. Twitter’s business is just lumber from which other software developers should be allowed to create value. The complaint is that because Twitter is neither open nor decentralized, it has created an intractable engineering problem and does not contribute to the greater good of the web.

I would contend that Twitter is both open and distributed. Its characterization as a silo misses the point. Rather than using the silo as a criteria for openness, what if we look instead to the pipe. In the Unix command line, the standard output can be piped to the standard input of a new filter. Some very complex forms of processing can be created by chaining together a series of filters and piping data through it. The “chainability” of the javascript library Jquery is another good example of this model. The critique of the silo is its lack of interoperability, you can’t pipe to or from it.

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Now, let’s look at Twitter. Can you pipe messages to Twitter? Can you pipe messages from Twitter? There was a time when I used Identi.ca as a primary micromessaging client. I typed messages into the Identi.ca web client and they entered the local pool, then I piped them to FriendFeed, where they also entered that ecosystem, FriendFeed sent them to Twitter, and Twitter sent them to Facebook. Examining this relay chain could you say that Twitter is a silo that owns my messages? Each of these venues represents a slightly different social graph and has a different tool set with which to display, prioritize and filter my messages within the context of the local graph. Twitter and Facebook are simply the most successful venues with which to read and write micro-messages (formerly called status messages). Google reader shares, SMS messages, Blog entries, et cetera can all be piped in and out of Twitter. Or if one prefers, Twitter can be left out of the chain entirely.

The mind share that Twitter and Facebook have built can’t be nationalized and distributed as lumber for a hypothetical socialist realist distributed micro-messaging ecosystem. If one is truly interested in open, look to the pipe, not the silo. Certainly there’s work that needs to be done on the pipe itself. Issues around real time, rate limiting, identity, social graphs, micro-communities, activity stream formats and track are all very important. But the real time stream environment is already here and operational. Many in the open source crowd are just rewinding the VCR and replaying the last battle. Steve Ballmer summed it up nicely in his interview with Mike Arrington, “we want to be first, best and interoperable.” Even Microsoft has embraced the pipe.

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Fair Use And Remixing Post-Literate Thought

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There will be no laughter. No enjoyment of any kind. As Laurie Anderson once said, “sit bolt upright in your straight-backed chair, and button that top button,” the words, images and videos assembled on this page are for the purpose of either commentary, criticism or education. Please keep this in mind as you “read.”

Good evening. Welcome to Difficult Music Hour.
The spot on your dial for that relentless and
impenetrable sound of difficult music [music, music, music]
So sit bolt upright in that straight-backed chair,
button that top button
and get set for some difficult music:
Ooola.

Laurie Anderson
Difficult Listening Hour

Sequences of letters, especially in the form of typography, have the wonderful quality of hiding their origins. We dip our hand into the cloth bag, pull out some scrabble tiles and fashion words which we string together into original sentences. The audience’s attention is misdirected, and we magically produce language out of thin air. Images and sounds, on the other hand, betray their origins— collaged or remixed, we recognize the original context. It’s a snippet of this song, a clip from that movie, or a fragment of a rather famous photograph.

Even text has taken on the attributes of recorded media. Printed sequences of words become an image of text. An image that can be matched to other images to determine whether a particular flow of words actually manifested ex nihilo or was, in fact, a photocopy of previously recorded material. Mike Masnick asks whether King Lear could be written under current legal conditions— its sources are legendary. As the digital swallows all other media, we can see, with eventualities like Google Wave, text will be recorded as it is typed— with instant universal playback at our finger tips.

I remember you typing that letter to me. I watched as the characters filled in one by one— moving across my screen. You mispelled the word “ambidextrous” and the spell checker caught it in real time. The rhythm of the typing was hypnotic. I play it back often, just to watch the letters dance.

If images, video and sound were to be embedded in the substance of a stream of thought, could the thinker be sued for copyright infringement? And could that stream really be called thought? If there is such a thing as post-literate thought, and it has a beat you can dance to— what would distinguish it from music? But the more important question is: is it really necessary to keep music/video/images out of thought? It’s a  question first seriously addressed in the conflicts of Byzantium between the iconoclasts and the iconodules.

Kurt Weibers, in his Marshall McLuhan Remix, takes some of these issues head on. The project is presented in three parts and is well worth your time. Although please keep in mind that these videos are for your edification only, any enjoyment, finger snapping or inappropriate context switching could put Mr. Weibers in legal trouble. So, button your top button, and press to play…

An interesting coda to Mr. Weibers’s production is the revelation of his correspondence with YouTube over the use of samples from a song recorded by the Talking Heads, called “Take Me To The River.” The epilogue [3/3] of the work was blocked by YouTube, and Mr. Weibers disputed the action based on the definitions of  fair use in the copyright act. YouTube responded quickly and unblocked the video.

These questions are not simple ones. While it’s true that the remix is the medium of our time, the issues permeating the economics of the transition are very serious. When the value of music was thought to be price one could charge to see a performance, signing a recording contract that paid a small fixed fee for the session seemed to make sense. We have yet to discover the economics of the remix, but discover them we must.

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The Crowd Settles and Focuses on the Performance

An opera house holds around 4 or 5 thousand people. When the performance is ready to begin there are a number cues to the audience. The lighting changes, the conductor enters, the ushers take their places, the crowd organizes itself, shows appreciation to the performers through applause– there’s a shout of ‘bravo!’ and then it focuses its attention. You’ll hear a shush here and there to establish order, and the performance begins.

At the live simulcast of Tosca at the ballpark there were around 27,000 people from all walks of life in attendance. The cues to settle and get ready for the performance are much more subtle than in the opera house. Ballparks can accommodate highly focused attention, say the ninth ining of a no-hitter. But these venues also work well with multiple threads of activity none of which are focused on the game. As the third act begins, there are some notices in text on the high-definition Jumbotron screen and a small change in lighting.

Watch the video above and take note of how a crowd of 27,000 people can take a cue, settle down and focus their attention on the musical melodrama unfolding before them. This moment is the beginning of the third act. Scarpia is dead and Tosca has gone to save Mario from the firing squad.

As we think about the civility of the real-time social web; about how crowds self-organize for this task or that one. We can look at how civility and cooperation is established in other venues. A crowd of anonymous people understand their role and take their part in the drama. Tosca stabs the evil Scarpia, shouting “this is Tosca’s kiss!” The crowd cheers wildly as justice is portrayed. The emotions of the crowd ride the roller coaster of the bigger-than-life melodrama. No one takes Scarpia’s evil behavior as an excuse misbehave. They understand the roles of the players and the shape of the drama.

We can plainly see that a crowd can organize and police itself in real time as it takes part in the ceremony of live performance. Is it the physicality of the audience that makes the difference? Could it be possible to transfer that social contract to the live web? Or do we believe so little in the substance of our digital bodies that we think of ourselves as ghosts– neither living nor dead, immune to the judgement of our tribe.

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Forms of Life: Stream Culture, the Finite and the Infinite

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Thinking, for a moment, about a particularly difficult human-computer interface problem with a dynamic set of requirements… which I suppose is any problem of this kind. The problem itself points the limitations of representation; as the solution forms, life moves on. The problem can also be expressed in terms of data and databases– the only data that exists in a database is the data that’s entered; and it doesn’t change unless energy is expended to change it. It’s a snapshot of a moment. Certain problems like Search are amenable to employing robots for the gathering of data. But what we think we’re doing when we search for something continues to change.

There’s a little book by James P. Carse that I return to now and again. It’s called Finite and Infinite Games, I’ve reproduced the entire first chapter below:

There are at least two kinds of games. One could be called finite, the other infinite.

A finite game is played for the purpose of winning, an infinite game for the purpose of continuing the play.

We play a series of finite and infinite games in the pursuit of the infinite game of continuing the play. The rather large portfolio carved out by interaction and human factors designers plays along this edge– the finitude of the designed object against the infinity of its use within a form of life. William Gibson expressed it simply as: “the street has its own use for things…” The street is a particularly rough game whose object is primarily to continue the play.

Ludwig Wittgenstein, in the book Philosophical Grammar describes how the fundamentals of an interaction (a finite game) relate to its expression in a system of representation. It’s a succinct story about how the front-end relates to the back-end of a certain kind of web application.

Let us imagine that chess had been invented not as a board game, but as a game to be played with numbers and letters on paper, so that no one had ever imagined a board with 64 squares in connection with it. And now suppose someone made the discovery that the game corresponded exactly to a game which could be played on a board in such and such a way. This discovery would have been a great simplification of the game (people who would earlier have found it too difficult could now play it). But it is clear that this new illustration of the rules of the game would be nothing more than a new, more easily surveyable symbolism, which in other respects would be on the same level as the written game. Compare with this the talk about physics nowadays not working with mechanical models but “only with symbols”.

Imagine what the Network would look like if it were only composed of finite games. Now imagine a Network in real time composed of both finite and infinite games. In building an application for this Network, would you use the same techniques with an infinite game as you would for a finite game? How would they differ?

Here’s another fragment from Carse:

Although the rules of an infinite game change by agreement at any point in the course of play, it does not follow that any rule will do. It is not in this sense that the game is infinite.

The rules are always designed to deal with specific threats to the continuation of play. Infinite players use the rules to regulate the way they will take the boundaries or limits being forced against their play into the game itself.

The rule-making capacity of infinite players is often challenged by the impingement of powerful boundaries against their play– such as physical exhaustion, or the loss of material resources, or the hostility of nonplayers, or death.

The task is to design rules that will allow the players to continue the game by taking these limits into play– even when death is one of the limits. It is in this sense that the game is infinite.

This is equivalent to saying that no limitations may be imposed against infinite play. Since limits are taken into play, the play itself cannot be limited.

Finite players play within boundaries; infinite players play with boundaries.

There’s a sense in which the hyperlink allows the infinite to be contained within the finite. Or rather, it extends the finite into the infinite. In an open Network, hypertext links to hypertext, which links to hypertext. And by the word “text” we refer to all media types.  The “hyper” in “hypertext” means the referent is not present, but directions to its location are ready to hand. (The signs within a language work this way, although sometimes the directions can be ambiguous and aren’t always legible.)

The hyperlink embedded in a static document system originally opened this door. But the static document is giving way to the dynamic document and a series of hypertext fragments populating a stream of information and thought objects moving in real time. Described as a kind of stream culture, our tool set to engage with the possible set of streams is remarkably absent. Somewhere a stream is emitting the information we need to know, but can’t find with our standard set of queries. Instead we gather around to argue whether or not it’s actually a stream we’re standing in, and whether our feet are actually wet.

In thinking about building a tool for the stream culture, will the techniques developed for use in finite games be sufficient? — or will we need to crack open a bottle of new wine?

“Nor do people put new wine into old wineskins; otherwise the wineskins burst, and the wine pours out and the wineskins are ruined; but they put new wine into fresh wineskins, and both are preserved.”

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