MachineMachine /stream - tagged with katherine-hayles https://machinemachine.net/stream/feed en-us http://blogs.law.harvard.edu/tech/rss LifePress therourke@gmail.com <![CDATA[Rigid Implementation vs Flexible Materiality]]> http://machinemachine.net/text/research/rigid-implementation-vs-flexible-materiality

Wow. It’s been a while since I updated my blog. I intend to get active again here soon, with regular updates on my research. For now, I thought it might be worth posting a text I’ve been mulling over for a while (!) Yesterday I came across this old TED presentation by Daniel Hillis, and it set off a bunch of bells tolling in my head. His book The Pattern on the Stone was one I leafed through a few months back whilst hunting for some analogies about (digital) materiality. The resulting brainstorm is what follows. (This blog post, from even longer ago, acts as a natural introduction: On (Text and) Exaptation) In the 1960s and 70s Roland Barthes named “The Text” as a network of production and exchange. Whereas “the work” was concrete, final – analogous to a material – “the text” was more like a flow, a field or event – open ended. Perhaps even infinite. In, From Work to Text, Barthes wrote: The metaphor of the Text is that of the network… (Barthes 1979) This semiotic approach to discourse, by initiating the move from print culture to “text” culture, also helped lay the ground for a contemporary politics of content-driven media. Skipping backwards through From Work to Text, we find this statement: The text must not be understood as a computable object. It would be futile to attempt a material separation of works from texts. I am struck here by Barthes” use of the phrase “computable object”, as well as his attention to the “material”. Katherine Hayles in her essay, Text is Flat, Code is Deep, (Hayles 2004) teases out the statement for us: ‘computable’ here mean[s] to be limited, finite, bound, able to be reckoned. Written twenty years before the advent of the microcomputer, his essay stands in the ironic position of anticipating what it cannot anticipate. It calls for a movement away from works to texts, a movement so successful that the ubiquitous ‘text’ has all but driven out the media-specific term book. Hayles notes that the “ubiquity” of Barthes” term “Text” allowed – in its wake – an erasure of media-specific terms, such as “book”. In moving from, The Work to The Text, we move not just between different politics of exchange and dissemination, we also move between different forms and materialities of mediation. (Manovich 2002)For Barthes the material work was computable, whereas the network of the text – its content – was not.

In 1936, the year that Alan Turing wrote his iconic paper ‘On Computable Numbers’, a German engineer by the name of Konrad Zuse built the first working digital computer. Like its industrial predecessors, Zuse’s computer was designed to function via a series of holes encoding its program. Born as much out of convenience as financial necessity, Zuse punched his programs directly into discarded reels of 35mm film-stock. Fused together by the technologies of weaving and cinema, Zuse’s computer announced the birth of an entirely new mode of textuality. The Z3, the world’s first working programmable, fully automatic computer, arrived in 1941. (Manovich 2002) A year earlier a young graduate by the name of Claude Shannon had published one of the most important Masters theses in history. In it he demonstrated that any logical expression of Boolean algebra could be programmed into a series of binary switches. Today computers still function with a logic impossible to distinguish from their mid-20th century ancestors. What has changed is the material environment within which Boolean expressions are implemented. Shannon’s work first found itself manifest in the fragile rows of vacuum tubes that drove much of the technical innovation of the 40s and 50s. In time, the very same Boolean expressions were firing, domino-like, through millions of transistors etched onto the surface of silicon chips. If we were to query the young Shannon today, he might well gawp in amazement at the material advances computer technology has gone through. But, if Shannon was to examine either your digital wrist watch or the world’s most advanced supercomputer in detail, he would once again feel at home in the simple binary – on/off – switches lining those silicon highways. Here the difference between how computers are implemented and what computers are made of digs the first of many potholes along our journey. We live in an era not only practically driven by the computer, but an era increasingly determined by the metaphors computers have injected into our language. Let us not make the mistake of presupposing that brains (or perhaps minds) are “like” computers. Tempting though it is to reduce the baffling complexities of the human being to the functions of the silicon chip, the parallel processor or Wide Area Network this reduction occurs most usefully at the level of metaphor and metonym. Again the mantra must be repeated that computers function through the application of Boolean logic and binary switches, something that can not be said about the human brain with any confidence a posteriori. Later I will explore the consequences on our own understanding of ourselves enabled by the processing paradigm, but for now, or at least the next few paragraphs, computers are to be considered in terms of their rigid implementation and flexible materiality alone. At the beginning of his popular science book, The Pattern on the Stone, (Hillis 1999) W.  Daniel Hillis narrates one of his many tales on the design and construction of a computer. Built from tinker-toys the computer in question was/is functionally complex enough to “play” tic-tac-toe (noughts and crosses). The tinker-toy was chosen to indicate the apparent simplicity of computer design, but as Hillis argues himself, he may very well have used pipes and valves to create a hydraulic computer, driven by water pressure, or stripped the design back completely, using flowing sand, twigs and twine or any other recipe of switches and connectors. The important point is that the tinker-toy tic-tac-toe computer functions perfectly well for the task it is designed for, perfectly well, that is, until the tinker-toy material begins to fail. This failure is what Chapter 1 of this thesis is about: why it happens, why its happening is a material phenomenon and how the very idea of “failure” is suspect. Tinker-toys fail because the mechanical operation of the tic-tac-toe computer puts strain on the strings of the mechanism, eventually stretching them beyond practical use. In a perfect world, devoid of entropic behaviour, the tinker-toy computer may very well function forever, its users setting O or X conditions, and the computer responding according to its program in perfect, logical order. The design of the machine, at the level of the program, is completely closed; finished; perfect. Only materially does the computer fail (or flail), noise leaking into the system until inevitable chaos ensues and the tinker-toys crumble back into jumbles of featureless matter. This apparent closure is important to note at this stage because in a computer as simple as the tic-tac-toe machine, every variable can be accounted for and thus programmed for. Were we to build a chess playing computer from tinker-toys (pretending we could get our hands on the, no doubt, millions of tinker-toy sets we”d need) the closed condition of the computer may be less simple to qualify. Tinker-toys, hydraulic valves or whatever material you choose, could be manipulated into any computer system you can imagine, even the most brain numbingly complicated IBM supercomputer is technically possible to build from these fundamental materials. The reason we don”t do this, why we instead choose etched silicon as our material of choice for our supercomputers, exposes another aspect of computers we need to understand before their failure becomes a useful paradigm. A chess playing computer is probably impossible to build from tinker-toys, not because its program would be too complicated, but because tinker-toys are too prone to entropy to create a valid material environment. The program of any chess playing application could, theoretically, be translated into a tinker-toy equivalent, but after the 1,000th string had stretched, with millions more to go, no energy would be left in the system to trigger the next switch along the chain. Computer inputs and outputs are always at the mercy of this kind of entropy: whether in tinker-toys or miniature silicon highways. Noise and dissipation are inevitable at any material scale one cares to examine. The second law of thermo dynamics ensures this. Claude Shannon and his ilk knew this, even back when the most advanced computers they had at their command couldn”t yet play tic-tac-toe. They knew that they couldn”t rely on materiality to delimit noise, interference or distortion; that no matter how well constructed a computer is, no matter how incredible it was at materially stemming entropy (perhaps with stronger string connectors, or a built in de-stretching mechanism), entropy nonetheless was inevitable. But what Shannon and other computer innovators such as Alan Turing also knew, is that their saviour lay in how computers were implemented. Again, the split here is incredibly important to note:

Flexible materiality: How and of what a computer is constructed e.g. tinker-toys, silicon Rigid implementation: Boolean logic enacted through binary on/off switches (usually with some kind of input à storage à feedback/program function à output). Effectively, how a computer works

Boolean logic was not enough on its own. Computers, if they were to avoid entropy ruining their logical operations, needed to have built within them an error management protocol. This protocol is still in existence in EVERY computer in the world. Effectively it takes the form of a collection of parity bits delivered alongside each packet of data that computers, networks and software deal with. The bulk of data contains the binary bits encoding the intended quarry, but the receiving element in the system also checks the main bits alongside the parity bits to determine whether any noise has crept into the system. What is crucial to note here is the error-checking of computers happens at the level of their rigid implementation. It is also worth noting that for every eight 0s and 1s delivered by a computer system, at least one of those bits is an error checking function. W. Daniel Hillis puts the stretched strings of his tinker-toy mechanism into clear distinction and in doing so, re-introduces an umbrella term set to dominate this chapter: I constructed a later version of the Tinker Toy computer which fixed the problem, but I never forgot the lesson of the first machine: the implementation technology must produce perfect outputs from imperfect inputs, nipping small errors in the bud. This is the essence of digital technology, which restores signals to near perfection at every stage. It is the only way we know – at least, so far – for keeping a complicated system under control. (Hillis 1999, 18)   Bibliography  Barthes, Roland. 1979. ‘From Work to Text.’ In Textual Strategies: Perspectives in Poststructuralist Criticism, ed. Josue V. Harari, 73–81. Ithaca, NY: Cornell University Press. Hayles, N. Katherine. 2004. ‘Print Is Flat, Code Is Deep: The Importance of Media-Specific Analysis.’ Poetics Today 25 (1) (March): 67–90. doi:10.1215/03335372-25-1-67. Hillis, W. 1999. The Pattern on the Stone : the Simple Ideas That Make Computers Work. 1st paperback ed. New York: Basic Books. Manovich, Lev. 2002. The Language of New Media. 1st MIT Press pbk. ed. Cambridge  Mass.: MIT Press.      

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Thu, 07 Jun 2012 06:08:07 -0700 http://machinemachine.net/text/research/rigid-implementation-vs-flexible-materiality
<![CDATA[Sloppy MicroChips: Can a fair comparison be made between biological and silicon entropy?]]> http://ask.metafilter.com/mefi/217051

Was reading about microchips that are designed to allow a few mistakes (known as 'Sloppy Chips'), and pondering equivalent kinds of 'coding' errors and entropy in biological systems. Can a fair comparison be made between the two? OK, to setup my question I probably need to run through my (basic) understanding of biological vs silicon entropy...

In the transistor, error is a bad thing (in getting the required job done as efficiently and cheaply as possible), metered by parity bits that come as standard in every packet of data transmitted. But, in biological systems error is not necessarily bad. Most copying errors are filtered out, but some propogate and some of those might become beneficial to the organism (in thermodynamics sometimes known as "autonomy producing equivocations").

Relating to the article about 'sloppy chips', how does entropy and energy efficiency factor into this? For the silicon chip efficiency leads to heat (a problem), for the string of DNA efficiency leads to fewer mutations, and thus less change within populations, and thus, inevitably, less capacity for organisms to diversify and react to their environments - leading to no evolution, no change, no good. Slightly less efficiency is good for biology, and, it seems, good for some kinds of calculations and computer processes.

What work has been done on these connections I draw between the biological and the silicon?

I'm worried that my analogy is limited, based as it is on a paradigm for living systems that too closely mirrors the digital systems we have built. Can DNA and binary parity bit transistors be understood on their own terms, without resorting to using the other as a metaphor to understanding?

Where do the boundaries lie in comparing the two?

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Tue, 05 Jun 2012 10:05:10 -0700 http://ask.metafilter.com/mefi/217051
<![CDATA[Noise; Mutation; Autonomy: A Mark on Crusoe’s Island]]> http://machinemachine.net/text/research/a-mark-on-crusoes-island

This mini-paper was given at the Escapologies symposium, at Goldsmiths University, on the 5th of December Daniel Defoe’s 1719 novel Robinson Crusoe centres on the shipwreck and isolation of its protagonist. The life Crusoe knew beyond this shore was fashioned by Ships sent to conquer New Worlds and political wills built on slavery and imperial demands. In writing about his experiences, Crusoe orders his journal, not by the passing of time, but by the objects produced in his labour. A microcosm of the market hierarchies his seclusion removes him from: a tame herd of goats, a musket and gunpowder, sheafs of wheat he fashions into bread, and a shelter carved from rock with all the trappings of a King’s castle. Crusoe structures the tedium of the island by gathering and designing these items that exist solely for their use-value: “In a Word, The Nature and Experience of Things dictated to me upon just Reflection, That all the good Things of this World, are no farther good to us, than they are for our Use…” [1] Although Crusoe’s Kingdom mirrors the imperial British order, its mirroring is more structural than anything else. The objects and social contrivances Crusoe creates have no outside with which to be exchanged. Without an ‘other’ to share your labour there can be no mutual assurance, no exchanges leading to financial agreements, no business partners, no friendships. But most importantly to the mirroring of any Kingdom, without an ‘other’ there can be no disagreements, no coveting of a neighbours ox, no domination, no war: in short, an Empire without an outside might be complete, total, final, but an Empire without an outside has also reached a state of complete inertia. Crusoe’s Empire of one subject, is what I understand as “a closed system”… The 2nd law of thermo dynamics maintains that without an external source of energy, all closed systems will tend towards a condition of inactivity. Eventually, the bacteria in the petri dish will multiply, eating up all the nutrients until a final state of equilibrium is reached, at which point the system will collapse in on itself: entropy cannot be avoided indefinitely. The term ‘negative entropy’ is often applied to living organisms because they seem to be able to ‘beat’ the process of entropy, but this is as much an illusion as the illusion of Crusoe’s Kingdom: negative entropy occurs at small scales, over small periods of time. Entropy is highly probable: the order of living beings is not. Umberto Eco: “Consider, for example, the chaotic effect… of a strong wind on the innumerable grains of sand that compose a beach: amid this confusion, the action of a human foot on the surface of the beach constitutes a complex interaction of events that leads to the statistically very improbable configuration of a footprint.” [2] The footprint in Eco’s example is a negative entropy event: the system of shifting sands is lent a temporary order by the cohesive action of the human foot. In physical terms, the footprint stands as a memory of the foot’s impression. The 2nd law of thermodynamics establishes a relationship between entropy and information: memory remains as long as its mark. Given time, the noisy wind and chaotic waves will cause even the strongest footprint to fade. A footprint is a highly improbable event. Before you read on, watch this scene from Luis Buñuel’s Robinson Crusoe (1954):

The footprint, when it first appears on the island, terrifies Crusoe as a mark of the outsider, but soon, realising what this outsider might mean for the totality of his Kingdom, Robinson begins the process of pulling the mark inside his conceptions: “Sometimes I fancied it must be the Devil; and reason joined in with me upon this supposition. For how should any other thing in human shape come into the place? Where was the vessel that brought them? What marks were there of any other footsteps? And how was it possible a man should come there?” [3] In the novel, it is only on the third day that Crusoe re-visits the site to compare his own foot with the print. The footprint is still there on the beach after all this time, a footprint Crusoe now admits is definitely not his own. This chain of events affords us several allegorical tools: firstly, that of the Devil, Crusoe believes to be the only rational explanation for the print. This land, which has been Crusoe’s own for almost 2 decades, is solid, unchanging and eternal. Nothing comes in nor goes beyond its shores, yet its abundance of riches have served Crusoe perfectly well: seemingly infinite riches for a Kingdom’s only inhabitant. Even the footprint, left for several days, remains upon Crusoe’s return. Like the novel of which it is a part, the reader of the mark may revisit the site of this unlikely incident again and again, each time drawing more meanings from its appearance. Before Crusoe entertains that the footprint might be that of “savages of the mainland” he eagerly believes it to be Satan’s, placed there deliberately to fool him. Crusoe revisits the footprint, in person and then, as it fades, in his own memory. He ‘reads’ the island, attributing meanings to marks he discovers that go far beyond what is apparent. As Susan Stewart has noted: “In allegory the vision of the reader is larger than the vision of the text; the reader dreams to an excess, to an overabundance.” [4] Simon O’Sullivan, following from Deleuze, takes this further, arguing that in his isolation, a world free from ‘others’, Crusoe has merged with, become the island. The footprint is a mark that must be recuperated if Crusoe’s identity, his “power of will”, is to be maintained. An outsider must have caused the footprint, but Crusoe is only capable of reading in the mark something about himself. The evocation of a Demon, then, is Crusoe’s way of re-totalising his Empire, of removing the ‘other’ from his self-subjective identification with the island. So, how does this relate to thermodynamics? To answer that I will need to tell the tale of a second Demon, more playful even than Crusoe’s. In his 1871 essay, Theory of Heat, James Clerk Maxwell designed a thought experiment to test the 2nd law of Thermodynamics. Maxwell imagines a microscopic being able to sort atoms bouncing around a closed system into two categories: fast and slow. If such a creature did exist, it was argued, no work would be required to decrease the entropy of a closed system. By sorting unlikely footprints from the chaotic arrangement of sand particles Maxwell’s Demon, as it would later become known, appeared to contradict the law Maxwell himself had helped to develop. One method of solving the apparent paradox was devised by Charles H. Bennet, who recognised that the Demon would have to remember where he placed the fast and slow particles. Here, once again, the balance between the order and disorder of a system comes down to the balance between memory and information. As the demon decreases the entropy of its environment, so it must increase the entropy of its memory. The information required by the Demon acts like a noise in the system. The laws of physics had stood up under scrutiny, resulting in a new branch of science we now know as ‘Information Theory’. Maxwell’s Demon comes from an old view of the universe, “fashioned by divine intervention, created for man and responsive to his will” [5]. Information Theory represents a threshold, a revelation that the “inhuman force of increasing entropy, [is] indifferent to man and uncontrollable by human will.” [6] Maxwell’s Demon shows that the law of entropy has only a statistical certainty, that nature orders only on small scales and, that despite any will to control, inertia will eventually be reached. Developed at the peak of the British Empire, thermodynamics was sometimes called “the science of imperialism”, as Katherine Hayles has noted: “…to thermodynamicists, entropy represented the tendency of the universe to run down, despite the best efforts of British rectitude to prevent it from doing so… The rhetoric of imperialism confronts the inevitability of failure. In this context, entropy represents an apparently inescapable limit on the human will to control.” [7] Like Maxwell, Crusoe posits a Demon, with faculties similar in kind to his own, to help him quash his “terror of mind”. Crusoe’s fear is not really about outsiders coming in, the terror he feels comes from the realisation that the outsiders may have been here all along, that in all the 20 years of his isolation those “savages of the mainland” may have visited his island time and again. It is not an outside ‘other’ that disturbs and reorganises Crusoe’s Kingdom. A more perverse logic is at work here, and once again Crusoe will have to restructure his imperial order from the inside out. Before you read on, watch another scene from Luis Buñuel’s Robinson Crusoe (1954):

Jacques Rancière prepares for us a parable. A student who is illiterate, after living a fulfilled life without text, one day decides to teach herself to read. Luckily she knows a single poem by heart and procures a copy of that poem, presumably from a trusted source, by which to work. By comparing her memory of the poem, sign by sign, word by word, with the text of the poem she can, Rancière believes, finally piece together a foundational understanding of her written language: “From this ignoramus, spelling out signs, to the scientist who constructs hypotheses, the same intelligence is always at work – an intelligence that translates signs into other signs and proceeds by comparisons and illustrations in order to communicate its intellectual adventures and understand what another intelligence is endeavouring to communicate to it… This poetic labour of translation is at the heart of all learning.” [8] What interests me in Rancière’s example is not so much the act of translation as the possibility of mis-translation. Taken in light of The Ignorant Schoolmaster we can assume that Rancière is aware of the wide gap that exists between knowing something and knowing enough about something for it to be valuable. How does one calculate the value of what is a mistake? The ignoramus has an autonomy, but it is effectively blind to the quality and make-up of the information she parses. If she makes a mistake in her translation of the poem, this mistake can be one of two things: it can be a blind error, or, it can be a mutation. In information theory, the two ways to understand change within a closed system are understood to be the product of ‘noise’. The amount of change contributed by noise is called ‘equivocation’. If noise contributes to the reorganisation of a system in a beneficial way, for instance if a genetic mutation in an organism results in the emergence of an adaptive trait, then the equivocation is said to be ‘autonomy-producing’. Too much noise is equivalent to too much information, a ‘destructive’ equivocation, leading to chaos. This balance is how evolution functions. An ‘autonomy-producing’ mutation will be blindly passed on to an organism’s offspring, catalysing the self-organisation of the larger system (in this case, the species). All complex, what are called ‘autopoietic’ systems, inhabit this fine divide between noise and inertia.  Given just the right balance of noise recuperated by the system, and noise filtered out by the system, a state of productive change can be maintained, and a state of inertia can be avoided, at least, for a limited time. According to Umberto Eco, in ‘The Open Work’: “To be sure, this word information in communication theory relates not so much to what you do say, as to what you could say… In the end… there is no real difference between noise and signal, except in intent.” [9] This rigid delineator of intent is the driving force of our contemporary, communication paradigm. Information networks underpin our economic, political and social interactions: the failure to communicate is to be avoided at all costs. All noise is therefore seen as a problem. These processes, according to W. Daniel Hillis, define, “the essence of digital technology, which restores signal to near perfection at every stage.” [10] To go back to Umberto Eco then, we appear to be living in a world of “do say” rather than “could say”. Maintenance of the network and the routines of error management are our primary economic and political concern: control the networks and the immaterial products will manage themselves. The modern network paradigm acts like a Maxwell Demon, categorising information as either pure signal or pure noise. As Mark Nunes has noted, following the work of Deleuze and Guattari: “This forced binary imposes a kind of violence, one that demands a rationalisation of all singularities of expressions within a totalising system… The violence of information is, then, the violence of silencing or making to speak that which cannot communicate.” [11] To understand the violence of this binary logic, we need go no further than Robinson Crusoe. Friday’s questions are plain spoken, but do not adhere to the “do say” logic of Crusoe’s conception. In the novel, Crusoe’s approach to Friday becomes increasingly one sided, until Friday utters little more than ‘yes’ and ‘no’ answers, “reducing his language to a pure function of immediate context and perpetuating a much larger imperialist tradition of levelling the vox populi.”[12] Any chance in what Friday “could say” has been violently obliterated. The logic of Ranciere’s Ignoramous, and of Crusoe’s levelling of Friday’s speech, are logics of imperialism: reducing the possibility of noise and information to an either/or, inside/outside, relationship. Mark Nunes again: “This balance between total flow and total control parallels Deleuze and Guattari’s discussion of a regime of signs in which anything that resists systematic incorporation is cast out as an asignifying scapegoat “condemned as that which exceeds the signifying regime’s power of deterritorialisation.” [13] In the system of communication these “asignifying” events are not errors, in the common sense of the word. Mutation names a randomness that redraws the territory of complex systems. The footprint is the mark that reorganised the Empire. In Ranciere’s parable, rather than note her intent to decode the poem, we should hail the moment when the Ignoramus fails, as her autonomous moment. In a world where actants “translate signs into other signs and proceed by comparison and illustration” [14] the figures of information and communication are made distinct not by the caprice of those who control the networks, nor the desires of those who send and receive the messages, but by mutation itself. Michel Foucault, remarking on the work of Georges Canguilhem, drew the conclusion that the very possibility of mutation, rather than existing in opposition to our will, was what human autonomy was predicated upon: “In this sense, life – and this is its radical feature – is that which is capable of error… Further, it must be questioned in regard to that singular but hereditary error which explains the fact that, with man, life has led to a living being that is never completely in the right place, that is destined to ‘err’ and to be ‘wrong’.” [15] In his writings on the history of Heredity, The Logic of Life, Francois Jacob lingers on another Demon in the details, fashioned by Rene Descartes in his infamous meditation on human knowledge. François Jacob positions Descartes’ meditation in a period of explosive critical thought focussed on the very ontology of ‘nature’: “For with the arrival of the 17th Century, the very nature of knowledge was transformed. Until then, knowledge had been grafted on God, the soul and the cosmos… What counted [now] was not so much the code used by God for creating nature as that sought by man for understanding it.” [16] The infinite power of God’s will was no longer able to bend nature to any whim. If man were to decipher nature, to reveal its order, Descartes surmised, it was with the assurance that “the grid will not change in the course of the operation”[17]. For Descartes, the evil Demon, is a metaphor for deception espoused on the understanding that underlying that deception, nature had a certainty. God may well have given the world its original impetus, have designed its original make-up, but that make-up could not be changed. The network economy has today become the grid of operations onto which we map the world. Its binary restrictions predicate a logic of minimal error and maximum performance: a regime of control that drives our economic, political and social interdependencies. Trapped within his imperial logic, Robinson Crusoe’s levelling of inside and outside, his ruthless tidying of Friday’s noisy speech into a binary dialectic, disguises a higher order of reorganisation. As readers navigating the narrative we are keen to recognise the social changes Defoe’s novel embodies in its short-sighted central character. Perhaps, though, the most productive way to read this fiction, is to allegorise it as an outside perspective on our own time? Gathering together the fruits of research, I am often struck by the serendipitous quality of so many discoveries. In writing this mini-paper I have found it useful to engage with these marks, that become like demonic footprints, mutations in my thinking. Comparing each side by side, I hope to find, in the words of Michel Foucault: “…a way from the visible mark to that which is being said by it and which, without that mark, would lie like unspoken speech, dormant within things.” [18]    

References & Bibliography [1] Daniel Defoe, Robinson Crusoe, Penguin classics (London: Penguin Books, 2001).

[2] Umberto Eco, The open work (Cambridge: Harvard University Press, n.d.).

[3] Defoe, Robinson Crusoe.

[4] Susan Stewart, On longing: narratives of the miniature, the gigantic, the souvenir, the collection (Duke University Press, 1993).

[5] N. Katherine Hayles, “Maxwell’s Demon and Shannon’s Choice,” in Chaos bound: orderly disorder in contemporary literature and science (Cornell University Press, 1990).

[6] Ibid.

[7] Ibid.

[8] Jacques Rancière, The emancipated spectator (London: Verso, 2009).

[9] Umberto Eco, The open work (Cambridge: Harvard University Press, n.d.). (My emphasis)

[10] W Hillis, The pattern on the stone?: the simple ideas that make computers work, 1st ed. (New York: Basic Books, 1999).

[11] Mark Nunes, Error: glitch, noise, and jam in new media cultures (Continuum International Publishing Group, 2010).

[12] Susan Stewart, On longing: narratives of the miniature, the gigantic, the souvenir, the collection (Duke University Press, 1993).

[13] Nunes, Error.

[14] Rancière, The emancipated spectator.

[15] Michel Foucault, “Life: Experience and Science,” in Aesthetics, method, and epistemology (The New Press, 1999).

[16] François Jacob, The logic of life: a history of heredity?; the possible and the actual (Penguin, 1989).

[17] Ibid.

[18] Michel Foucault, The order of things?: an archaeology of the human sciences., 2003.

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Wed, 07 Dec 2011 08:50:14 -0800 http://machinemachine.net/text/research/a-mark-on-crusoes-island
<![CDATA[Errors in Things and “The Friendly Medium”]]> http://machinemachine.net/text/ideas/errors-in-things-and-the-friendly-medium

What is it about a particular media that makes it successful? Drawing a mini history from printing-press smudges to digital compression artefacts this lecture considers the value of error, chance and adaptation in contemporary media. Biological evolution unfolds through error, noise and mistake. Perhaps if we want to maximise the potential of media, of digital text and compressed file formats, we first need to determine their inherent redundancy. Or, more profoundly, to devise ways to maximise or even increase that redundancy. This presentation was designed and delivered as part of Coventry University, Media and Communication Department’s ‘Open Media‘ lecture series. Please browse the Open-Media /stream and related tags (in left column) for more material

(Audio recording of talk coming very soon)

Many thanks to Janneke Adema for inviting me to present this talk and for all her hard work with the series and podcast.

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Wed, 16 Feb 2011 07:39:59 -0800 http://machinemachine.net/text/ideas/errors-in-things-and-the-friendly-medium
<![CDATA[On (Text and) Exaptation]]> http://machinemachine.net/text/ideas/on-text-and-exaptation

(This post was written as a kind of ‘prequel’ to a previous essay, Rancière’s Ignoramus) ‘Text’ originates from the Latin word texere, to weave. A material craft enabled by a human ingenuity for loops, knots and pattern. Whereas a single thread may collapse under its own weight, looped and intertwined threads originate their strength and texture as a network. The textile speaks of repetition and multiplicity, yet it is only once we back away from the tapestry that the larger picture comes into focus. At an industrial scale textile looms expanded beyond the frame of their human operators. Reducing a textile design to a system of coded instructions, the complex web of a decorative rug could be fixed into the gears and pulleys that drove the clattering apparatus. In later machines long reels of card, punched through with holes, told a machine how, or what, to weave. Not only could carpets and textiles themselves be repeated, with less chance of error, but the punch-cards that ordered them were now equally capable of being mass-produced for a homogenous market. From one industrial loom an infinite number of textile variations could be derived. All one needed to do was feed more punch-card into the greedy, demanding reels of the automated system. The material origins of film may also have been inspired by weaving. Transparent reels of celluloid were pulled through mechanisms resembling the steam-driven contraptions of the industrial revolution. The holes running down its edges delimit a reel’s flow. Just as the circular motion of a mechanical loom is translated into a network of threads, so the material specificity of the film-stock and projector weave the illusion of cinematic time. Some of the more archaic, out-moded types of film are known to shrink slightly as they decay, affording us – the viewer – a juddering, inconsistent vision of the world captured in the early 20th century. In 1936, the year that Alan Turing wrote his iconic paper “On Computable Numbers”, a German engineer by the name of Konrad Zuse built the first working digital computer. Like its industrial predecessors, Zuse’s computer was designed to function via a series of holes encoding its program. Born as much out of convenience as financial necessity, Zuse punched his programs directly into discarded reels of 35mm film-stock. Fused together by the technologies of weaving and cinema, Zuse’s digital computer announced the birth of an entirely new mode of textuality. As Lev Manovich suggests: “The pretence of modern media to create simulations of sensible reality is… cancelled; media are reduced to their original condition as information carrier, nothing less, nothing more… The iconic code of cinema is discarded in favour of the more efficient binary one. Cinema becomes a slave to the computer.” Rather than Manovich’s ‘slave’ / ‘master’ relationship, I want to suggest a kind of lateral pollination of media traits. As technologies develop, specificities from one media are co-opted by another. Reverting to biological metaphor, we see genetic traits jumping between media species. From a recent essay by Svetlana Boym, The Off-Modern Mirror: “Exaptation is described in biology as an example of “lateral adaptation,” which consists in a cooption of a feature for its present role from some other origin… Exaptation is not the opposite of adaptation; neither is it merely an accident, a human error or lack of scientific data that would in the end support the concept of adaptation. Exaptation questions the very process of assigning meaning and function in hindsight, the process of assigning the prefix “post” and thus containing a complex phenomenon within the grid of familiar interpretation.” Media history is littered with exaptations. Features specific to certain media are exapted – co-opted – as matters of convenience, technical necessity or even aesthetics. Fashion has a role to play also, for instance, many of the early models of mobile phone sported huge, extendible aerials which the manufacturers now admit had no impact whatsoever on the workings of the technology. Lev Manovich’s suggestion is that as the computer has grown in its capacities, able to re-present all other forms of media on a single computer apparatus, the material traits that define a media have been co-opted by the computer at the level of software and interface. A strip of celluloid has a definite weight, chemistry and shelf-life – a material history with origins in the mechanisms of the loom. Once we encode the movie into the binary workings of a digital computer, each media-specific – material – trait can be reduced to an informational equivalent. If I want to increase the frames per second of a celluloid film I have to physically wind the reel faster. For the computer encoded, digital equivalent, a code that re-presents each frame can be introduced via my desktop video editing software. Computer code determines the content as king. In the 1960s and 70s Roland Barthes named ‘The Text’ as a network of production and exchange. Whereas ‘the work’ was concrete, final – analogous to a material – ‘the text’ was more like a flow, a field or event – open ended. Perhaps even infinite. In, From Work to Text, Barthes wrote: “The metaphor of the Text is that of the network…” This semiotic approach to discourse, by initiating the move from print culture to ‘text’ culture, also helped lay the ground for a contemporary politics of content-driven media. Skipping backwards through From Work to Text, we find this statement: “The text must not be understood as a computable object. It would be futile to attempt a material separation of works from texts.” I am struck here by Barthes’ use of the phrase ‘computable object’, as well as his attention to the ‘material’. Katherine Hayles in her essay, Text is Flat, Code is Deep, teases out the statement for us: “computable” here mean[s] to be limited, finite, bound, able to be reckoned. Written twenty years before the advent of the microcomputer, his essay stands in the ironic position of anticipating what it cannot anticipate. It calls for a movement away from works to texts, a movement so successful that the ubiquitous “text” has all but driven out the media-specific term book. Hayles notes that the ‘ubiquity’ of Barthes’ term ‘Text’ allowed – in its wake – an erasure of media-specific terms, such as ‘book’. In moving from, The Work to The Text, we move not just between different politics of exchange and dissemination, we also move between different forms and materialities of mediation. To echo (and subvert) the words of Marshall Mcluhan, not only is The Medium the Message, The Message is also the Medium. …media are only a subspecies of communications which includes all forms of communication. For example, at first people did not call the internet a medium, but now it has clearly become one… We can no longer understand any medium without language and interaction – without multimodal processing… We are now clearly moving towards an integration of all kinds of media and communications, which are deeply interconnected. Extract from a 2005 interview with Manuel Castells, Global Media and Communication Journal

(This post was written as a kind of ‘prequel’ to a previous essay, Rancière’s Ignoramus)

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Mon, 06 Dec 2010 13:41:24 -0800 http://machinemachine.net/text/ideas/on-text-and-exaptation