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Category: social graph

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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The Varieties of Silence

We, perhaps, misunderstand silence. We think of it as the absence of sound. Or the absence of music. We might think the same silence fills each absence. But silence itself, is always full, whenever there is a listener.

In John Cage’s work 4:33, the performer and the audience become one. Every assembly of witnesses marks a different social graph, listens through a different network of consciousness, a different set of dreams.

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The (TV) Guide is Broken: And Now Everything is TV

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There’s an old joke that time is nature’s way of keeping everything from happening at once. But more and more, it seems like everything is happening at once.

Where television channels used to offer one program at a time, one after the other, laid out along a time line, now there are an infinite number of channels. To the extent that programming is recorded, or recorded live for broadcast, it can be tuned in on demand. Programs don’t need to unravel at a particular time on a schedule anymore. We’ve entered the era of random access; everyone can be watching different shows on the same channel— because it’s the watching that is the channel, not the broadcasting.

Live broadcasts used to be so labor and infrastructure intensive that it wasn’t possible to go live with more than one signal. Many broadcasters now emit multiple signals—different mixes and playlists of programming.

Assume for a moment that broadcast video/audio will move entirely to the internet—the new Network. How will you know what’s on? When everything that exists is on at the same time—how do you choose? This problem is similar to deciding which book to check out from a public library. The selection set you walk into the library with doesn’t include every book on the shelves.

I hate cable television listings because they present everything equally in a grid. And, of course, this is Comcast’s product—I understand that TiVo is much better. The schedule of programs knows nothing about me, therefore it presents everything in the equivalent of a comma separated value file with sub-primitive tools to work with the data. Everyone gets the same bad listing of a 1000 streams. There’s a sense in which this is the same problem users have with RSS readers and Twitter streams. Rolling cable television listings look disturbingly like an RSS or Twitter stream. They’re a linear representation of simultaneous data.

The suggested solution isn’t really a solution. It’s simply the acceptance that you’ll miss things that would be valuable for you to see. It’s noted that since you can’t completely consume a multivalent, multi-threaded real-time stream, instead you must simply jump in from time to time. When you jump out, you miss what you miss— and that’s okay. As with phone calls, if it’s important, they’ll call back.

With so much programming simultaneously available, its value is significantly reduced. Experiencing something and not experiencing it have a roughly equivalent value. This corresponds to the idea: The more information, the less significant information is. The less information, the more significant it is. Philip Roth put it this way: in Eastern Europe (before the fall of the wall) nothing is permitted but everything matters; with us, everything is permitted but nothing matters.

More and more we live in simultaneous time with links that provide us with random access to an almost infinite number of connections. The index was the first tool that was attempted, but the map could not keep up with the rapid growth of the territory. The search engine using a citation algorithm was the next tool. This would be a welcome method to discover when a program was on, when a program with an actor was on, when a program by a writer was on. More complex queries would enable more advanced discovery.

Why did the girl throw the clock out the window? To see time fly.

But as we live in simultaneous time so do the things that we experience. As McLuhan noted, everything has become television, streams of text, video and audio sensory data. We aren’t matching the grid of our daily schedule to a grid of programming. The grid is an artifact of linear time. The selection set in simultaneous time doesn’t contain everything, it emerges from a swarming micro-community in real time. The infinite universe is bounded by the social graph, but it expands into infinity through six degrees of separation.

The new guide leverages the swarm, the social graph, the real time network and track. So, what’s on?

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After the Goldrush: The Album, CMX, Cocktail and Networked Music

I first became aware of Nancy Sinatra when her song “These Boots Were Made For Walkin'” climbed up the charts in the 60s. The song was written by Lee Hazelwood, and I had the sense that it was a kind of novelty rather than being representative of a body of work. The song was released in February of 1966, and featured a back-up band known as the “wrecking crew“— they were made up of first call session players in Los Angeles.

Ms. Sinatra caught my attention again recently with her editorial in the New York Times regarding the inequity of payments for songs played on the radio. Composers and publishers receive payment each time a song is played, but performers get nothing. The presumption is that the performing artists receive promotion when their songs are played and that serves as their compensation. Ms. Sinatra notes that the practice of mentioning the title and artist of a song just played is no longer common practice. And she reveals that ten years ago Clear Channel was asking $24k per title, to mention a song’s meta-data. A radio mention is meant to serve as a kind of link to a commerce service point.

Just as the telecom industry is coming to terms with the fact that voice is indistinguishable from any other kind of bits traveling through the series of tubes, the radio/music business is learning that there’s no such thing as a ‘sound only’ Network. Recorded music needs an extensible interface, sound is only one of the channels. Video, text, images and commerce are some of the channels that need to be included in the digital bundle. When you ‘right-click’ on a tune, what options will you see? If you look closely, you can see the distinction between the player and the thing played is beginning to disappear.

The music industry has responded to this opening with the CMX file format. As currently defined the format will allow playback and viewing of multiple media types, transactional capabilities have not been mentioned. Apple has rejected CMX in favor of its own format called Cocktail. Early rumors are that the Cocktail format will be playable on a new generation iTunes player, although it may also work as standalone software with an incorporated runtime.

Rolling up the various media files associated with a music release into a single new format will create a new container that can be sold to the music buying masses. If all goes according the plans of the record labels, the public will be thrilled to restock their music libraries with new containers of the same music. After all, the public has done it a number of times before. Presumably, the new format will also feature stronger DRM as an attempt to re-establish the old sales model. The most intriguing part of Apple’s Cocktail format is the rumored integration of a social media layer into iTunes.

Some think the record business was destroyed by the MP3 file format. Because an MP3 is simple to digitally copy, the theory is that sales suffered as the listening audience simply distributed free copies of music over the Network. While there’s a grain of truth to this, ventures like the iTunes music store could not have been successful if it were the dominant behavior pattern. The real threat to the music industry was the return of the single and the rise of the playlist.

The record album became the standard unit of sale for music some time after the Beatles managed to fill their offerings with hits from the first track to the last. Once the public stopped buying singles and started buying albums, the goldrush was on for the record companies. The album also served as a kind of filter, bands that couldn’t sustain a level of quality over an entire record didn’t last long. The album became a canvas, a programmed static playlist of music that eventually lead, for better or worse, to the concept album.

The high cost of recording music combined with the album format resulted in a batch production mode for music—also known as the recording session. Batch mode production is closely related to the kind of production done in factories. A special environment is created, set away from ordinary life. Real life is what you return to when you’ve finished your shift working in the factory. With the cost of recorded music production plummeting, the batch mode becomes less and less necessary. Real-time production occurs in-line with real life, the process might look more like the basement of Big Pink instead of the specialized and fully-equipped recording studio.

A bundle of static files wrapped up in a new format is an attempt to get some additional mileage out of the album format. There’s a sense in which this is a duplication of the shrink-wrapped software model. The music industry should look to the recent strategic shifts made by the king of shrink-wrapped software: Microsoft. Microsoft has shifted to a software + services model that includes the full interoperability and the integration of public social media streams. Some of their product will be free, some ad supported and others will be fully paid. And just as the batch mode of software production has been deprecated in favor of real-time, in-line code updates over the Network, music (and all digital media) will eventually move toward this new model.

The battle that Nancy Sinatra is waging on behalf of the performer will not be won in the landscape of radio. That playing field is receding, becoming a small piece of the puzzle, rather than whole ballgame. The new canvas for the digital performer and recording artist is starting to emerge and the examples provided by Microsoft, Google and Apple will lead the way.

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