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About this video essay: We've all felt it: the movies have changed. But how so exactly, and why? And what can be done about it? In this extensive critique, I try to capture the decline of modern cinema in one unifying theory.

00:00 The Marvelization of Cinema 01:52 What is Storytelling Entropy? 06:26 Hollow Franchises 11:15 Meta-References to Nowhere 17:40 Corporate Passion 25:23 Breaking the Cycle 33:08 Meaningful Engagement

Further Reading: Like Stories of Old – The Complete Reading List: https://kit.co/likestoriesofold/reading-list 10 Books that changed my life: https://kit.co/likestoriesofold/10-books-that-changed-my-life 10 More books that inspired my thinking: https://kit.co/likestoriesofold/10-more-books-that-inspired-my-thinking

My Camera Gear: https://kit.co/likestoriesofold/my-travel-camera-gear

Media included: 12 Angry Men; 2001 A Space Odyssey; A Good Day to Die Hard; A Hidden Life; Aftersun; Ahsoka; Alien; Alien vs. Predator; Aliens; Ant-Man and the Wasp Quantumania; Asteroid City; Avengers Age of Ultron; Avengers Endgame; Avengers Infinity War; Babylon; Barbie; Batman Begins; Batman v Superman; Blade Runner 2049; Captain America Civil War; Captain America The First Avenger; Captain America The Winter Soldier; Citadel; Deadpool; Decision to Leave; Die Hard; Doctor Strange in the Multiverse of Madness; Dune; Dungeons and Dragons; Eternals; Foundation; Fast X; Free Guy; Game of Thrones; Ghostbusters Afterlife; Ghosted; Gladiator; Godzilla; Godzilla vs Kong; Goodfellas; Inception; Indiana Jones and the Dial of Destiny; Invasion of the Body Snatchers; Iron Man 3; Iron Man; John Wick Chapter 3 & 4; Jurassic Park; Jurassic World; Jurassic World Dominion; Lawrence of Arabia; Loki; Mission Impossible 1, 2, Fallout, Rogue Nation & Dead Reckoning; Moon Knight, Obi-Wan Kenobi; Ocean's Eleven; Once Upon a Time in Hollywood; Past Lives; Predator 1 & 2; Red Notice; Secret Invasion; Seven Samurai; Shang-Chi; She-Hulk; Spiderman 1 & 2; Spider-Man No Way Home; Star Wars A New Hope, The Empire Strikes Back, Return of the Jedi, The Phantom Menace, The Revenge of the Sith, The Force Awakens, The Last Jedi & the Rise of Skywalker; Synecdoche New York; Terminator 1, 2 & Dark Fate; The Dark Knight, The Amazing Spider-Man 2; The Avengers; The Fabelmans; The Falcon and the Winter Soldier; The Flash; The Godfather 1 & 2; The Gray Man; The Hobbit Trilogy; The Lord of the Rings Trilogy; The Rings of Power; The Matrix 1 & 4; The Mummy; The Prestige; The Thing; The Witcher; Thor Love and Thunder; Thor Ragnarok; Thor The Dark World; Top Gun; Top Gun Maverick; Transformers Rise of the Beasts; Uncharted

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Music: Dexter Britain - Hoursglass Jo Blankenburg - Dirt Dexter Britain - Your Own World Alaskan Tapes - Swimming and Dancing and Floating in Circles Dexter Britain - Headspace Cultus - Between Mountains Dexter Britain - Air Dexter Britain - Raising

Take your films to the next level with music from Musicbed. Sign up for a free account to listen for yourself: https://fm.pxf.io/c/3532571/1347628/16252

Clickbait Title: The Twist at 37 Minutes Will Make You Believe We Live In Hell

This has taken a long time to make, and it was a very winding road, but I'm glad I did it. Hiking out to the north shore of Minnewanka, a 19km round trip, is one of the worst decisions I've ever made but I'm glad I did it. I'm not sure what else to say. I'm so tired. So very, very, very tired.

Flat Earth OR Why Do People Reject Science? - Philosophy Tube https://www.youtube.com/watch?v=AGvGQSazaTM

Flat Earth: A Measured Response - hbomberguy https://www.youtube.com/watch?v=2gFsOoKAHZg

I Read The Most Hateful Book Ever Written - Thought Slime https://www.youtube.com/watch?v=67Rg8V4g3ak

Maybe We Should Be Concerned About Qanon? - SOME MORE NEWS https://www.youtube.com/watch?v=XJgX20S0Zdg

If you want to stay up to date on QAnon, The QAnon Anonymous Podcast, YouTube channel Some More News, and the work of journalists Will Sommer and Alex Kaplan will give you a place to start.

Music: Isolated by Kevin MacLeod (prologue) Oxygen Mask by Andy G. Cohen (title/credits) Sunset by Kai Engel (across a curved lake) Fastest Man on Earth by Jahzzer (they're all going to Q) Released under a Creative Commons Attribution International License

Written and performed by Dan Olson

Crowdfunding: https://www.patreon.com/foldablehuman Twitter: https://twitter.com/FoldableHuman

00:00 Prologue 03:21 Intro 05:01 Part 1 37:39 Part 2

From facial recognition to emotion detection to risk assessments, AI is guiding the decisions of police departments and courtrooms across the country.

https://www.sciencefriday.com/segments/artificial-intelligence-is-a-growing-part-of-the-criminal-justice-system-should-we-be-worried/

'Trust Me' - I'm an Algorithm

Trust is fundamental to all our relationships - not just with our family and friends. We trust banks with our money, we trust doctors with our really personal information. But what happens to trust in a world driven by algorithms? As more and more decisions are made for us by these complex pieces of code, the question that comes up is inevitable: can we trust algorithms?

Join Ali Rae in this first episode of ‘All Hail The Algorithm’ - a 5 part series exploring the impact of these invisible codes on our everyday lives.

In this episode, Ali speaks with Asher Wolf about Australia’s robo-debt scandal, Virginia Eubanks about how inequality is being automated and Sharad Goel about COMPAS - an algorithm being used in courts across the US to assist with sentencing.

Subscribe to our channel http://bit.ly/AJSubscribe Follow us on Twitter https://twitter.com/AJEnglish Find us on Facebook https://www.facebook.com/aljazeera Check our website: http://www.aljazeera.com/

AlJazeeraEnglish #Algorithms #AllHailtheAlgorithm

The insecure nature of work is a result of decisions by corporations and policymakers. Mr. Hyman is an economic historian.

The gruesome new field of neuro-parasitology could provide insights into the neurological basis for behavior and decision-making — By Conn Hastings Imagine a parasite that makes an animal change its habits, guard the parasite’s offspring or even commit suicide.

This paper on GIFs and screen-based compulsion is a very extended follow-up to a short, but widely disseminated, piece I wrote in 2011: On the Doctrine of the Similar (GIF GIF GIF). It is presented here as a draft, since I never published this paper officially. I hope it is useful/interesting for GIF lovers everywhere. Rather than designate high resolutions and white-knuckle optical speeds as representative of 21st Century techno-cultural immersion, I consider animated GIFs a more contemporary medium. From their origins in the early 90s as simple linguistic stand-ins animated GIFs have diversified along with the web that birthed them. They correspond quickly and directly, and lend themselves to constant mutation and (re)assemblage at the hands of their producers and consumers; blurring the distinction between these identities along the way. Their poor visual fidelity is made up for by their propensity to repeat and cycle in lieu of the actions and expressions they harbour. By allowing us to wallow in their remixed repetitions animated GIFs feed on the human susceptibility to resemblance and recognition, even as their surface affect remains distanced from any particular media origin. As Sally Mckay describes, “GIFs are simultaneously ‘in your face’ and in your mind, their affects continuous with the immersive experience of daily internet use.” [1] This status enables GIFs as a metaphor for contemporary techno-culture itself, framing our distributed, multimedial space-time in staged, repeatable, and digestible patterns. In its early days, cinema was considered capable of immobilising the world for the purposes of human appreciation and enchantment. Eadweard Muybridge sought to isolate the gallop of the horse from its particular being in time and space, so that it was forever framed for our experience. Today a million versions of Muybridge’s horse careen around the web as animated GIFs of questionable quality, flashing fleetingly, but often, on screens that scroll in multiple dimensions. In turn pictures, depictions and imitations have given way to motions, evocations and impressions, mixing the shared memory of our collective experiences at ever greater speeds, distances and – most importantly – correspondences than ever before. As Daniel Rubinstein points out the content of an animated GIF “can be figurative or abstract, lyrical or macabre, but… the primary materials that the GIF artist uses are rhythm and repetition…” [2] An aesthetics not necessarily of surface reception, but of delivery, temporality and the patterns of configuration. A patterning that calls to mind the work of Walter Benjamin, who argued that metre, rhythm and other heterogeneous impressions had a significant impact on human modes of intuition and experience. [3] It is fascinating to consider Benjamin’s early essays, especially his The Doctrine of the Similar from 1933, in relation to his more widely read work on film. Having established the process by which humans became ensconced in what Susan Buck-Morss calls a “new nature… of matter as it has been transformed by” technology, [4] Benjamin went on in The Work of Art (1936) [5] to explore the significance this technologised environment has on the human “mimetic faculty.” [6] In two 1933 essays Benjamin argues that ‘primitive’ language emerged in magical correspondence with the world. From the surface of the starry sky, or the intestines of a sacrificed animal, early humans “read what was never written,” [7] deriving mystical revelations from the constellations and signatures perceived there. [8] Configurations between patterns were what determined legibility, not just because they carried an intended meaning – being ‘written’ there by the Gods, for instance – but because similarities ‘flash up’ speculatively in the human mind: So speed, the swiftness in reading or writing which can scarcely be separated from this process, would then become… the effort or gift of letting the mind participate in that measure of time in which similarities flash up fleetingly out of the stream of things only in order to become immediately engulfed again. [9] “Nature creates similarities,” and as such, humans being of nature, are driven by a mimetic compulsion “to become and behave like something else,” [10] projecting that same compulsion into the world around them. This compulsion manifested itself in group dances, as song and spoken language, and later, as writing, eventually flattening the speculative space of mimetic experience into inscriptions on stone, vellum, or paper. As Howard Caygill observes: Configuration is thus transformed into inscription, reducing the speculative reading of the similarity between patterns into the transcendental reading of graphically inscribed marks upon an infinite but bounded surface. [11] Like the writing that Benjamin believed ‘captured’ human beings and their mimetic faculty, animated GIFs point to a new type of inscription, born of, and infinitely responsive to itself. We enter into this whether or not we wish too, each time we navigate a browser window, or slide our fingers across a smartphone screen. We are as malleable as our nature. A physiological suspense beckoning from the screen that animated GIFs turn around and loop – indefinitely – as a reminder of their own attention. In creating and sharing GIFs we add depth to the flat surfaces through which the internet is received. We may be ensconced in this space, and pulled along by it, but it is a space whose apparent distribution across screens, browser windows, and multiple devices too readily gestures to our bodies and selves as being fully individuated, rather than to the whole assemblage of which both our bodies, devices, and the images that play between them, are a part. Benjamin believed that, rather than allowing us to attain mastery over nature, technologies such as film give us an awareness over our relationship with nature through the processes of “material complexification.” [12] For Benjamin this training was akin to the relationship between factory workers and the production line, where the ratchet of the gears and conveyors program the workers’ bodies, fusing them together into a larger assemblage. The successive frames of film, made to spool through the mechanism one after the other at imperceptible speed, create an illusion of temporal and spatial fluidity that shock us into an awareness of the complex relation between our psychic and physiological realities. As R.L Rutsky lucidly explains, “this scattered, interrupted filmic reception becomes part of the human sensorium or body… a body that is no longer distanced from—or entirely separate from—the images and shocks that it comes into contact with.” [13] Constituted by what Anne Friedberg describes as a “mobilized and virtual gaze,” [14] filmic subjectivity has often been considered to correspond to the supposed sovereignty of the consumer, predicated on the promise of an enhanced mobility and freedom of choice across a dizzying array of goods and spectacles. Time and space themselves became filmic, opening up onto new mimetic correspondences discoverable in everything from the high-speed montage of flowers in bloom, to the slowed down and isolated gallop of Muybridge’s horse. Cinema goers attain all the nobility of flâneurs exploring endless arcades of experience without ever having to leave their seats. As R.L. Rutsky argues, the audience ‘becomes’ through this collective “state of distraction,” defined by “its ability to ‘take up’ these images in much the same way that the film apparatus does.” [15] And so the mimetic faculty itself achieves a kind of mechanisation in the mass spectacle of moving images, able to reveal correspondences at speeds and densities hitherto impossible to conceive. In the words of Mark Hansen: Despite the vast acceleration of image circulation in the historical interval separating Benjamin’s moment from ours, his effort to grapple with the material impact of… autonomous images remains exemplary: it com­prises an indispensable model that can guide us in our efforts to forge con­nections with our alienating, postimaginary material world. [16] Whereas the mimetic faculty had originally come to correspond with nature through theological ritual or script, with this second nature – of what Mark Hansen calls “the mechanosphere” [17] – the correspondence is material, and sensuous. Our receptivity is physiological, our bodies are shared, and our memories – now dependent on the “alien rhythms” [18] of montage – have become intricately woven into the machine as images. In turn, as noted by Arthur Kroker, “the image machine is haunted by memories of the body,” [19] bodies that depend on the fidelity, malleability and repeatability of film, videotape, and more recently, digital forms of media for their existence. As with its filmic ancestors, animated GIFs often frame fragmented images of time in snippets of montage, giving what Gilles Deleuze termed “common standard of measurement to things which do not have one,” framing “long shots of countryside and close-ups of the face, an astronomical system and a single drop of water” [20] within a single perceptual apparatus. The train whips by on the silver screen, but the instant of each image impacting us is lost as the play of further images moves onwards through experience. As Steven Shaviro has insisted, we “have already been touched by and altered by these sensations, even before [we] have had the chance to become conscious of them.” [21] But unlike filmic time, made to reel at 24 frames per second, the GIF’s loading mechanism introduces a more awkward temporal component into perception: that of bandwidth. Standardized in 1987 by CompuServe, the GIF’s early popularity was based, in part, on their ability to load in time with its download. In the days of dial-up connections this meant that at least part of a GIF image would appear before the user’s connection froze, or – more significantly – the user could see enough of the image for it to mean something. In 1989 Compuserve updated GIFs to use this ‘partial loading’ mechanism to encode animations within a single GIF file. In essence, the hacky update transformed a two dimensional spatial loading mechanism into a three dimensional temporal one. A file format designed to harness correspondences within each single image had become about correspondences between and across images. According to Jason Eppink in 1995 Netscape Navigator, an early popular web browser, “took advantage of [this mechanism] to enable looping, making the GIF viable for animation online over dial-up speeds.” [22] Small in size and made up of few frames, this is where animated GIFs entered their ‘classic’ [23] phase. Corresponding to single phrases or concepts such as ‘Under Construction’, ‘Area 51’ or ‘flying pink unicorn’, the era of personal web pages saturated with spinning hamsters is one anybody born after 1990 will little remember, but its influence on the contemporary ‘folk’ attitude of the web has not abated. As the 2000s came into view, animated GIFs became freed up by an increase in bandwidth and storage capacity to show more complex assemblages, and it was at this stage that the format achieved its common contemporary use as a vehicle for moments framed from cinema, television and – increasingly – video websites like YouTube. Frame grab or video capture GIFs often pay homage to isolated moments in pop culture, but as the ‘craft’ of animated GIFs has grown, so the frame capture form has begun to correspond well outside the filmic and televisual contexts from which they were first appropriated. This leap is, for me, the first point at which GIFs begin to co-ordinate their own realm of mimetic correspondence. An ocean of viral videos turned into a self-serving visual vernacular, looping back on itself ad infinitum. Brought on by their obsolescence, animated GIFs are among the most contradictory of images, able to resist the rigid taxonomies of the burgeoning algorithmic economy, even as they are turned into ‘clickbait’ by sites like BuzzFeed, [24] who rely on them to flash on screens kept in motion by the compulsive scroll of a mouse, or – increasingly – a finger or thumb. From our vantage point, subsumed by the impact of a high-bandwidth internet culture, animated GIFs [25] seem quaint, clumsy, even remedial in their capacity to transmit information. GIFs are easy to share and edit, but difficult for search engines to classify and catalogue. They are usually small in size, but their popularity exerts a significant load on the web servers that host them. As internet speeds have increased, and screen resolutions soared in depth, GIFs have remained; flickering endlessly as visual reminders of the ubiquitous mess the internet has become. Users of sites like Tumblr, 4chan, and Reddit revel in the capacity of GIFs to quickly correspond to the world, capturing token moments of experience or expression that signal well beyond their original context. Images can be made to correspond with increasing immediacy; can be cut, copied, stretched, collected and forced to clash in violent juxtaposition through Photoshopping, embedding, and multiple recompressions, using software interfaces that themselves are infinitely malleable. As Sarah Kember and Joanna Zylinska argue in Life After New Media, one of the principle ways in which we create meaning through matter is by cutting: Cutting reality into smaller pieces – with our eyes, our bodily and cognitive apparatus, our language, our memory, and our technologies – we enact separation and relationality as the two dominant aspects of material locatedness in time. [26] The affect of a GIF is not just felt, but copied and pasted elsewhere; separated and related in never before seen patterns and expressions. GIFs can be broken into their constituent frames, compressed and corrupted on purpose and made to act as archives for viral ‘memetic’ events travelling the web. It is possible to track the cultural development of some of these correspondences. Often though, the source of the cultural moment they hail from becomes completely lost in the play of images. Finding meaning in the semiotic sludge of these GIFs often requires a sensitivity to similitude bordering on the magical, even if their visceral impact is beyond question. Net artists and archaeologists, Olia Lialina and Dragan Espenschied, have long been fascinated by a GIF known as ‘Real_Dancing_Girl’. Indeed, Lialina cites the GIF as a defining impetus in her desire to become a net artist in the first place. [27] Small in size and given to a multitude of purposes and meanings, Real_Dancing_Girl.GIF found her way onto many thousands of personal web pages during the early ‘classic’ GIF era, made to dance alongside a cast of similar pixelated characters. If you blow Real_Dancing_Girl up to a size well beyond the means of a mid-90s desktop monitor to display, it is easy to see a single aberrant pixel that flashes each time she swings her hips to her left. [28] Throughout Real_Dancing_Girl’s 20 something years of propagation around the web this pixel remained, apparently unnoticed, or at least aesthetically accepted by those who added the GIF to their webpages. The pixel in Real_Dancing_Girl indicates the difficulty the network has in determining what communicates and what doesn’t. Its significance may be slight – a punctum to prick the attention of those enraptured by the image – but the aberrant pixel signals how the mimetic faculty tends to shift inwards. In recent homages to the GIF nameless web artists have incorporated the anomalous pixel in their higher resolution remakes, mimicking the movements of Real_Dancing_Girl as their digitised bodies recoil. A playground of correspondences that at first mimicked language and the wider world now mimics itself. As Graig Uhlin notes, narrative correspondence is not the guiding principle of the GIF, rather “the viewer is caught up in the GIF’s temporal suspension: to view is to be captivated.” [29] A 2015 BuzzFeed article entitled Can You Get Through These 17 GIFs Of Massive Zits Being Popped Without Shielding Your Eyes? [30] poses a challenge to the audience that promises bodily affect, relying on the GIF as its primary vehicle. As BuzzFeed is wont to do the article encourages the ‘reader’ to scroll through each animated GIF for no other reason than for the experience it will deliver. The GIFs are knowingly visceral, their careful ‘listicle’ [31] arrangement down the length of the page no less meticulous than the framing of each individual animated GIF on the spectacle of a zit being burst asunder. Here bodies are vast surfaces closed off by each GIF, so that even though the moment of each zit’s (and therefore each body’s) eruption is reduced to its purest semblance, the affect of bodies in their entirety is alluded to and made significant. Each GIF has its own title that celebrates the compulsion of this activity, and the sense of release and relief they represent for the bodies subjected to by each GIF and, in turn, the body of the viewer suspended among them: Doesn’t this make you feel relaxed? Just imagine how gratifying this must feel… How is it possible to feel such disgust and satisfaction at the same time? Yeah, it’s kind of gross to watch… …but there’s no denying there’s something beautiful about these gifs. [32] The audience is encouraged to excerpt their mimetic faculty, to revel in the correspondences between GIFs and eruptions; to find ‘beauty’ in these captivating physiological rhythms. Indeed, the ‘loop’ of each individual zit and its eruption is enhanced by the further repetition of awareness and reception as the tirade of grotesque releases continues. In the zit article we find a paradigm of the click/scroll/repeat reverie that BuzzFeed has become synonymous with. A compulsion to derive affect, and physiological release, in the navigation of lists of what BuzzFeed founder Jonah Peretti calls “upbeat, even childlike content.” [33] In an April 2015 article for Vox Dylan Matthews reflects [34] on the success of BuzzFeed by looking over an academic paper written by Jonah Peretti a decade before the launch of the website. [35] Published in theory journal Negations in 1996 [36] Peretti’s paper uses Frederic Jameson’s Postmodernism and Consumer Society, and Gilles Deleuze and Felix Guattari’s Anti-Oedipus: Capitalism and Schizophrenia to offer a definition of the distributed identities of contemporary consumers. Deleuze, Guattari and Jameson use the figure of the ‘schizophrenic’ [37] to refer to an individual without a defined ego or identity. Jameson saw “the rapid fire succession of signifiers in MTV style media” [38] of the 1980s as serving “to confuse viewers, harm[ing] their ability to use culture to build identities.” [39] Peretti fuses this view with Deleuze and Guattari’s more ‘emancipatory’ take on the egoless schizophrenic: a figure able to resist the pre-packaged identities being offered them by capitalism, and act – effectively – on their own desires. [40] For Dylan Matthews, Peretti’s fused rendering of the schizophrenic offers an insight into the principles behind BuzzFeed. As Peretti himself wrote in his 1996 paper: Capitalism needs schizophrenia, but it also needs egos… The contradiction is resolved through the acceleration of the temporal rhythm of late capitalist visual culture. This type of acceleration encourages weak egos that are easily formed, and fade away just as easily. [41] The zit article exemplifies the plethora of visual identifications that BuzzFeed accelerates through social-media echo chambers. Its skill is to create lists and headlines that everyone and anyone can relate to, and will click and scroll through. “23 Euphoric Moments Literally Everyone Has Experienced”; “23 Times Tumblr Went Way Too Fucking Far”; “19 Euphoric Experiences For Book Lovers”; “21 Things Everyone Who Went To Primary School In Wales Remembers.” Once again the GIF becomes not only the vehicle, but the metaphor of identity destruction and rebirth. A bearer of postimaginary perception, through which – to hijack Walter Benjamin’s insights – “like a flash, similarity appears” [42] only to “become immediately engulfed again.” [43] BuzzFeed is far from the only factory to exploit the qualities of digital media to arrest our attentions, but its success at offering its users new identities that appear to merge and interrelate in an endless, mutating mass is unrivalled. Perhaps its most devastating trick was to recognise compulsion as one of the primary driving forces behind internet navigation, reception and – in conjunction – identity formation. Like the unseen bodies of those zit owning GIF subjects, the listicle format reveals just enough of the shared body of human culture – of Benjamin’s “postimaginary material world” – to produce an affective response in its receivers/users/consumers. An ever expanding multiverse of tiny framed portions of experience cut from context so that they can be shared, digested, and repeated indefinitely. Whether viewed in their original format, or as streamed equivalent, the visceral impact of GIFs is beyond question, extending beyond the browser, altering pop culture, our tastes, and even our aesthetic acuity. The different timescales of media production and reception clash in the animated GIF as in no other medium. It is no coincidence that animated GIFs became the web’s primary mode of packaging and delivering visual humour. Just as a joke is the vehicle for the impact of a punchline, so a GIF encapsulates the potential of the having and sharing of its experience. Not only does the animated GIF allow us to wallow in its repetitions, actuating the moving image event in a conscious awareness of one’s awareness, GIFs also enact two modes of experience in their temporal structures. Firstly, GIFs that load in time with bandwidth build frame by frame the structure of the soon to be experienced experience – outside of cinematic and ‘real’ time, at a changeable pace we could call ‘bandwidth-time’. Secondly, the GIF as a mode of display and redisplay tends towards a perceptual sweet spot in its loops and repetitions. The loop of GIFs counteracts some of the uncontainable immediacy of cinema, enclosing the ‘perfect’ amount of time for “the expression of experience by experience” [44] in the cycle of repeated views. Even as bandwidth has increased to alleviate the limitations of the GIF’s short timespan, rather than lengthen animated GIFs, the web community has responded by increasing the resolution and dimensions of GIFs, allowing their visceral impact to expand, even if the perceptive loop has not. Because of this, GIFs still stand as one of the best indications of bandwidth-time. Through the GIF’s jilting appearance on laptop monitors or smartphone screens, viewers are entered into physiological communion with server banks, optical cables, WiFi signals, and 4G mobile phone masts talking in zeroes and ones via invisible protocols. Whilst digital substrates have increased in their capacity to store, distribute and display information, they have also edged towards invisibility. [45] What matters is that media content is received, and that that reception is smooth and immediate. Whether an animated GIF is composed of a seamless loop or a series of incompatible frames made to jolt against one another, the anchor point at which the GIF repeats has a heightened significance upon its first viewing. The browser window opens onto a single frame, that slips to a few more frames incongruently, until the entire GIF file has been buffered by the computer, at which point the loop begins in earnest. This quality of GIFs reminds us of their origins, even as each nudge towards a seamless loop makes us aware how clunky and clumsy our network architecture still is. Throughout the 2010s the Graphical Interchange Format formalised by Compuserve and Netscape has undergone a series of violent transformations into other, apparently related forms. When a GIF is uploaded to microblogging service Twitter or popular image sharing site imgur, for instance, it is automatically transcoded into MP4 or GIFV video format. The resultant GIF/video hybrid retains the frequency of the original looping animation, but the file can now be started and stopped at will, alleviating part of the strain on the servers given the responsibility of delivering it. These hybrids are still colloquially referred to as ‘GIFs’, even though they retain none of the original coding mechanisms of Compuserve’s format. What’s more, these formats are designed to buffer before they stream, separating us once again from the stutters of bandwidth-time. As Mark Nunes reminds us, Internet traffic is predicated on a logic of unimpeded flow. The network demands maximum throughput, with a minimum of noise, a “free flowing system ultimately [dependant] upon a control logic in which everything that circulates communicates… or is cast aside as abject.” [46] For the network it is beneficial to deny bandwidth-time entirely, casting Internet users aloft in the experience of ‘stream-time’; a control logic more suited to arresting our attentions, in which the future image we are about to receive has always already been determined and buffered by the network. We may then wish to read the anchor point of the GIF loop as a cohort of Roland Barthes’ ‘punctum’ – an off-centre compositional “accident which pricks” [47] our attention. The GIF punctum is one frame piled off-kilter with the rest of the sequence; the frame that lingers in awareness just a moment longer as cinematic and bandwidth-time catch up with one another. Whilst the violent subjugation of the GIF to streamable formats allows the content of the GIF to continue in its loops and correspondences, its potential to mutate is cut short by its transcoding to video. In their ‘original’ format animated GIFs retain each of their frames as if it was a separate file among its partners, so that importing the file into a software editing suite retains the quality and malleability of the whole loop across each individual frame. This means that each copied and pasted GIF carries within itself an unspoken promise of its next adaptation. Although the cut/edit/remix culture of the web does not rely solely on animated GIFs for its expression – one need only browse YouTube for a few moments to find a video that has been bent to several wills before its reception – the GIF’s blunt democratic immediacy is less prevalent across other file formats and modes of viewing. As noted by Giampaolo Bianconni in a 2012 article entitled, GIFability: Dan Harmon, who was… the executive producer of the television sitcom Community, [said] that he tried, “many times a season” to put star Alison Brie “in a situation… that I know is going to end up as an animated GIF file!” [48] What in televisual terms is a few moments of particularly well-crafted action, or an acutely framed humorous facial expression, achieves far greater ubiquity and visibility as an animated GIF overlaid with kitschy text, or other hastily layered editorial additions. The acts of recuperation and appropriation carried out by viewers is now considered an integral component of cultural capital. What matters for images is that they are seen, and the mode of their contemporary reception, increasingly, is in appropriated, poor copies, cut out of context – into GIFs or otherwise. The rise of what Hito Steyerl has termed, the Poor Image, is dependent on two, seemingly contradictory, demands: The networks in which poor images circulate thus constitute both a platform for a fragile new common interest and a battleground for commercial and national agendas… While it enables the users’ active participation in the creation and distribution of content, it also drafts them into production. Users become the editors, critics, translators, and (co-)authors of poor images. [49] For a director like Harmon “poor images” of his work are commercially, and arguably artistically beneficial to its reception. What Bianconi calls the ‘GIF-able’ moment is one that harnesses the flash of mimetic acuity in a viewer and drafts them into a productive mode. Harmon’s decision to give his shots a GIF fidelity calls to mind Walter Benjamin’s conclusions in The Work of Art. And yet instead of filmic images training us in new modes of apperception, it has become the images we see daily on our computer screens, flickering in time with new perceptual proficiencies across screens that scroll in multiple dimensions. Now that images can be exchanged, transmitted, copied and edited at frantic light speeds it becomes commercially important for producers of established media forms, such as television and cinema, to maintain the movement and mutation of their images online. In turn, as users and viewers we should tend to concern ourselves with modes of pro-sumption [50] that wrestle a degree of control back from the media machine. In an article published in July 2015, journalist Cleo Stiller explores the phenomena of ‘microporn GIFs’, ostensibly created by and for women: [51] While GIFs may seem like a flash in the pan—really, how can four seconds turn you on?—the nature of the loop… give[s] the viewer time to notice the caress of a hand floating from neck to shoulder to forearm, the tensing of an abdomen, the arching of a back, and the reflex of a thigh. [52] Each microporn GIF teeters on the verge of something happening, gesturing to the possibility of the sexual event; of eventfulness. And the loop gives these moments an infinite capacity to repeat and thus expand experientially, even if they do not expand narratively. The suspense of the GIF is erotic regardless of its content; each loop is a charged instant of imminence. As evinced by Helen Hester, Bethan Jones, and Sarah Taylor-Harman in their paper on microporn, Giffing a fuck, these tensions – and thus affective pleasures – are not reliant on clumsy narrative arcs for their delivery. The illusion of narrative coherence within and across pornography lends itself to easy categorisation. Pornography then tends to be catalogued with simplistic labels such as ‘threesome’, ‘anal’, or ‘blowjob’ by the websites and services that deliver it, reducing the plethora of erotic acts, human behaviours and experiences to a database of homogeneous and heteronormative search terms. [53] For Hester, Jones, and Taylor-Harman the community of microporn GIF creators represents a line of resistance… …against dominant representations of heterosexual acts, and potentially counters the commercial nature of pornography and its narrative linearity. Here lies the possibility for pornographic consumers to critique and deconstruct such dominant paradigms, choosing for themselves instead the bodies and fragmented sexual inter/activities they desire to see presented. [54] Here the GIF’s tight spatial and temporal framing, coupled with its capacity to travel, mutate and multiply, is empowering. If a desire, a feeling, an expression is GIF-able, then it has the potential to create further desires, feelings, and expressions. Fragmentation then becomes a means to disassemble normative narratives and reconstruct them into a shared techno-body that enables and celebrates the diversity of its components and their correspondences. The resulting loops are interrelational in a way not easily captured by the logic of the database and the search term. According to Sally McKay: Brian Massumi describes affective intensity as a “state of suspense, potentially of disruption. It is like a temporal sink, a hole in time…” [55] This is a moment of incipience, before action is taken, before emotions qualify and retroactively determine the affect. [56] Each GIF evokes an affect not just because of its content, but because its loop winds that content tight like a spring. A GIF is always poised in lieu of a release. This promise to spring back, to evoke and disrupt makes GIFs – microporn or otherwise – one of the web’s most enduring forces. The erotic charge of each GIF unites its creator, sharer and viewers in a non-linguistic discourse. Action is inevitable, reaction is desired, and disruption is to be expected. References & Notes [1] Sally McKay, “The Affect of Animated GIFs (Tom Moody, Petra Cortright, Lorna Mills),” Art & Education, 2005, http://www.artandeducation.net/paper/the-affect-of-animated-gifs-tom-moody-petra-cortright-lorna-mills/. [2] Daniel Rubinstein, “GIF Today,” The Photographer’s Gallery: Born in 1987 Exhibition, June 2012. [3] Howard Caygill, Walter Benjamin: The Colour of Experience (Routledge, 1997), 5. [4] Susan Buck-Morss, The Dialectics of Seeing: Walter Benjamin and the Arcades Project (MIT Press, 1991), 70. [5] Walter Benjamin, “The work of art in the age of its technological reproducibility (1936),” in The work of art in the age of its technological reproducibility, and other writings on media, ed. Michael William Jennings et al. (Cambridge, Mass.: Belknap Press of Harvard University Press, 2008), 19–55. [6] Walter Benjamin, “On the Mimetic Faculty (1933),” in Reflections: Essays, Aphorisms, Autobiographical Writings, 1st Schocken edition edition (New York: Random House USA Inc, 1995), 333–36. [7] Ibid. [8] Anson Rabinbach, “Introduction to Walter Benjamin’s ‘Doctrine of the Similar,’” New German Critique, no. 17 (April 1, 1979): 62, doi:10.2307/488009. [9] Walter Benjamin, “Doctrine of the Similar (1933),” trans. Knut Tarnowski, New German Critique Spring, 1979, no. 17 (April 1, 1979): 65–69, doi:10.2307/488009. [10] Benjamin, “On the Mimetic Faculty (1933).” [11] Caygill, Walter Benjamin, 5. [12] Mark B. N. Hansen, Embodying Technesis: Technology beyond Writing, Studies in Literature and Science (Ann Arbor: University of Michigan Press, 2000), 234. [13] R. L Rutsky, “Allegories of Emergence: The Generative Matrix of Walter Benjamin” (Constructions of the Future, Heidelberg, 2011), 16. [14] Anne Friedberg, “The Mobilized and Virtual Gaze in Modernity: Flaneur/Flaneuse,” in The Visual Culture Reader, ed. Nicholas Mirzoeff, 2. ed, repr (London: Routledge, 2001), 395–404. [15] R. L Rutsky, “Walter Benjamin and the Dispersion of Cinema,” Symploke 15, no. 1–2 (2008): 18, doi:10.1353/sym.0.0017. [16] Hansen, Embodying Technesis, 248. [17] Ibid., 262. [18] Ibid., 266. [19] Arthur Kroker, Body Drift: Butler, Hayles, Haraway (U of Minnesota Press, 2012), 1. [20] Gilles Deleuze, Cinema 1 (Continuum, 2005), 16. [21] Steven Shaviro, The Cinematic Body (Minneapolis: University of Minnesota Press, 1993), 46. [22] J. Eppink, “A Brief History of the GIF (so Far),” Journal of Visual Culture 13, no. 3 (December 1, 2014): 299, doi:10.1177/1470412914553365. [23] For a further breakdown of GIF ‘types’ see: Daniel Rourke, “The Doctrine of the Similar (GIF GIF GIF),” Dandelion 3, no. 1 (January 19, 2012). [24] At its most extreme, ‘clickbait’ is any link that draws a user’s attention with a tempting claim or open question in its headline, only to confront them with vacuous or even misleading content once the sought-after click is granted. Although BuzzFeed’s editor in chief Ben Smith claimed in 2014 that the site “doesn’t do clickbait,” (Ben Smith, “Why BuzzFeed Doesn’t Do Clickbait,” 2014) a compelling argument can be made that BuzzFeed does at the very least rely on what journalist James Hamblin calls “curiosity gaps” (James Hamblin, “It’s Everywhere, the Clickbait,” 2014) in order to elicit the necessary click from internet users. [25] GIF is the file extension and acronym for ‘Graphical Interchange Format’, a subtype of bitmap image encoding. [26] Sarah Kember and Joanna Zylinska, Life After New Media: Mediation as a Vital Process (Cambridge, Mass: MIT Press, 2012), 75. [27] Olia Lialina, “In Memory of Chuck Poynter, User and GIF Maker,” One Terabyte of Kilobyte Age, March 22, 2011, http://blog.geocities.institute/archives/2466. [28] “Real_Dancing_Girl: Who_am_I?,” Tumblr Blog, Real_Dancing_Girl, accessed January 1, 2016, http://realdancingirl.tumblr.com/WHOAMI. [29] Graig Uhlin, “Playing in the Gif(t) Economy,” Games and Culture 9, no. 6 (November 1, 2014): 520, doi:10.1177/1555412014549805. [30] Jamie Jones, “Can You Get Through These 17 GIFs Of Spots Being Popped Without…,” BuzzFeed, July 19, 2015, http://www.buzzfeed.com/jamiejones/gifs-of-cysts-being-popped. [31] The word ‘listicle’ is a portmanteau combination of ‘list’ and ‘article’. See: Jo Christy, “What Is A Listicle?,” Stir Up Media, March 7, 2015, https://web.archive.org/web/20150307191311/http://stirupmedia.co.uk/what-is-a-listicle/. [32] Jones, “Can You Get Through These 17 GIFs Of Spots Being Popped Without…” [33] Andrew Rice and 2013, “Does BuzzFeed Know the Secret?,” NYMag.com, accessed July 21, 2015, http://nymag.com/news/features/buzzfeed-2013-4/#. [34] Dylan Matthews, “BuzzFeed’s Founder Used to Write Marxist Theory and It Explains BuzzFeed Perfectly,” Vox, April 2, 2015, http://www.vox.com/2014/5/20/5730762/buzzfeeds-founder-used-to-write-marxist-theory-and-it-explains. [35] Dylan Matthews builds on a preliminary reading of the paper by Eugene Wolters, “From Deleuze to LOLCats, the Story of the BuzzFeed Guy,” Critical-Theory, April 8, 2013, http://www.critical-theory.com/from-deleuze-to-lolcats-the-story-of-the-buzzfeed-guy/. [36] Jonah Peretti, “Capitalism and Schizophrenia: Contemporary Visual Culture and the Acceleration of Identity Formation/Dissolution,” Winter 1996, http://negations.icaap.org/issues/96w/96w_peretti.html. [37] Much has been written on the inappropriate adoption of the label ‘schizophrenic’ by the likes of Deleuze, Guattari, Jameson and others. It is used here to refer to their definition, rather than the actual illness of schizophrenia as defined by the Diagnostic and Statistical Manual of Mental Disorders. [38] Peretti, “Capitalism and Schizophrenia: Contemporary Visual Culture and the Acceleration of Identity Formation/Dissolution.” [39] Matthews, “BuzzFeed’s Founder Used to Write Marxist Theory and It Explains BuzzFeed Perfectly.” [40] Ibid. [41] Peretti, “Capitalism and Schizophrenia: Contemporary Visual Culture and the Acceleration of Identity Formation/Dissolution.” [42] Benjamin, “On the Mimetic Faculty (1933).” [43] Benjamin, “Doctrine of the Similar (1933).” [44] Vivian Carol Sobchack, The Address of the Eye: A Phenomenology of Film Experience (Princeton, N.J.: Princeton University Press, 1992), 305. [45] R. L Rutsky, High Technē: Art and Technology from the Machine Aesthetic to the Posthuman (Minneapolis, MN: University of Minnesota Press, 1999), 15. [46] Mark Nunes, Error Glitch, Noise, and Jam in New Media Cultures (New York: Continuum, 2011), 5, http://public.eblib.com/EBLPublic/PublicView.do?ptiID=655513. [47] Roland Barthes, Camera Lucida: Reflections on Photography (New York: Hill and Wang, 1981), 27. [48] Giampaolo Bianconi, “GIFABILITY,” Rhizome.org, November 20, 2012, http://rhizome.org/editorial/2012/nov/20/gifability/. [49] Hito Steyerl, “Hito Steyerl, In Defense of the Poor Image / Journal / E-Flux,” E-Flux, no. 11 (November 2009), http://www.e-flux.com/journal/view/94. [50] A portmanteau of ‘producer’ and ‘consumer’, the prosumer, according to George Ritzer and Nathan Jurgenson, represents, “a trend toward unpaid rather than paid labor and toward offering products at no cost… [a] system marked by a new abundance where scarcity once predominated.” G. Ritzer and N. Jurgenson, “Production, Consumption, Prosumption: The Nature of Capitalism in the Age of the Digital ‘Prosumer,’” Journal of Consumer Culture 10, no. 1 (March 1, 2010): 14, doi:10.1177/1469540509354673. [51] Although Stiller concentrates on female microporn creators, it is perhaps more productive to suggest who the community is not made up of i.e. cis-males. This seems to be a much more inclusive take on a category of user created content aligned with resistance to heteronormative classification. This resonates more closely with the assessment of Hester, Jones, and Taylor-Harman in the paper referenced below. [52] Cleo Stiller, “Why Some Women Prefer Their Porn in GIFs,” Fusion, accessed June 16, 2015, http://fusion.net/story/165548/why-women-love-porn-gifs/. [53] Helen Hester, Bethan Jones, and Sarah Taylor-Harman, “Giffing a Fuck: Non-Narrative Pleasures in Participatory Porn Cultures and Female Fandom,” Porn Studies 2, no. 4 (October 2, 2015): 356–66, doi:10.1080/23268743.2015.1083883. [54] Ibid., 361. [55] Brian Massumi, Parables for the Virtual: Movement, Affect, Sensation (Duke University Press, 2002), 26. [56] McKay, “The Affect of Animated GIFs (Tom Moody, Petra Cortright, Lorna Mills).”

Science fiction tells us that a change in a past event, caused by the intervention of a time traveler, will open up a parallel timeline that leads to an alternate present. The example that comes to mind, for some reason, is Back to the Future, Part II. After an unexpected disturbance in the spacetime continuum, Marty McFly visits a world in which Biff Tannen, his father’s high school bully, has gone from unscrupulous small-time businessman to a replica of our current president.

If you accept this idea, it raises the stakes of the present moment: each decision leads not to one inevitable outcome, but a multitude of possible futures. The passage of time isn’t a story, following a hero’s journey from “call to adventure” to “return home.” It’s a website with a series of links, each of which leads to a subsequent series of links. You may begin an evening by reading the Wikipedia entry for tulips or graham crackers, and, depending on the decisions you make, find yourself becoming an expert on Jeffrey Dahmer or Zermelo–Fraenkel set theory by dawn. Unlike the linear media of the printed page, time branches out into alternate possibilities, corresponding to what sociologist Ted Nelson, anticipating the internet decades before its invention, named hypermedia.

In central London this spring, eight of the world’s greatest minds performed on a dimly lit stage in a wood-panelled theatre. An audience of hundreds watched in hushed reverence.

Bringing children into a disintegrating environment used to be a theoretical fear. Now it’s a very real one The decision whether or not to have a child is one of the bigger ones a person will make in life – often the biggest.

This was the paper I delivered at The Theorizing the Web Conference, New York, 18th April 2015. This video of the paper begins part way in, and misses out some important stuff. I urge you to watch the other, superb, papers on my panel by Natalie Kane, Solon Barocas, and Nick Seaver. A better video is forthcoming. I posted this up partly in response to this post at Wired about the UK election, Facebook’s echo-chamber effect, and other implications well worth reading into.

Data churning algorithms are integral to our social and economic networks. Rather than replace humans these programs are built to work with us, allowing the distinct strengths of human and computational intelligences to coalesce. As we are submerged into the era of ‘big data’, these systems have become more and more common, concentrating every terrabyte of raw data into meaningful arrangements more easily digestible by high-level human reasoning. A company calling themselves ‘Narrative Science’, based in Chicago, have established a profitable business model based on this relationship. Their slogan, ‘Tell the Stories Hidden in Your Data’, [1] is aimed at companies drowning in spreadsheets of cold information: a promise that Narrative Science can ‘humanise’ their databases with very little human input. Kristian Hammond, Chief Technology Officer of the company, claims that within 15 years over 90% of all news stories will also be written by algorithms. [2] But rather than replacing the jobs that human journalists now undertake, Hammond claims the vast majority of their ‘robonews’ output will report on data currently not covered by traditional news outlets. One family-friendly example of this is the coverage of little-league baseball games. Very few news organisations have the resources, or desire, to hire a swathe of human journalists to write-up every little-league game. Instead, Narrative Science offer leagues, parents and their children a miniature summary of each game gleaned from match statistics uploaded by diligent little league attendees, and then written up by Narrative Science in a variety of journalistic styles. In their book ‘Big Data’ from 2013, Oxford University Professor of internet governance Viktor Mayer-Schönberger, and  ‘data editor’ of The Economist, Kenneth Cukier, tell us excitedly about another data aggregation company, Prismatic, who: …rank content from the web on the basis of text analysis, user preferences, social network-popularity, and big-data analysis. [3] According to Mayer- Schönberger and Cukier this makes Prismatic able ‘to tell the world what it ought to pay attention to better than the editors of the New York Times’. [4] A situation, Steven Poole reminds us, we can little argue with so long as we agree that popularity underlies everything that is culturally valuable. Data is now the lifeblood of technocapitalism. A vast endless influx of information flowing in from the growing universe of networked and internet connected devices. As many of the papers at Theorizing the Web attest, our environment is more and more founded by systems whose job it is to mediate our relationship with this data. Technocapitalism still appears to respond to Jean Francois Lyotard’s formulation of Postmodernity: that whether something is true has less relevance, than whether it is useful. In 1973 Jean Francois Lyotard described the Postmodern Condition as a change in “the status of knowledge” brought about by new forms of techno-scienctific and techno-economic organisation. If a student could be taught effectively by a machine, rather than by another human, then the most important thing we could give the next generation was what he called, “elementary training in informatics and telematics.” In other words, as long as our students are computer literate “pedagogy would not necessarily suffer”. [5] The next passage – where Lyotard marks the Postmodern turn from the true to the useful – became one of the book’s most widely quoted, and it is worth repeating here at some length:

It is only in the context of the grand narratives of legitimation – the life of the spirit and/or the emancipation of humanity – that the partial replacement of teachers by machines may seem inadequate or even intolerable. But it is probable that these narratives are already no longer the principal driving force behind interest in acquiring knowledge. [6] Here, I want to pause to set in play at least three elements from Lyotard’s text that colour this paper. Firstly, the historical confluence between technocapitalism and the era now considered ‘postmodern’. Secondly, the association of ‘the grand-narrative’ with modern, and pre-modern conditions of knowledge. And thirdly, the idea that the relationship between the human and the machine – or computer, or software – is generally one-sided: i.e. we may shy away from the idea of leaving the responsibility of our children’s education to a machine, but Lyotard’s position presumes that since the machine was created and programmed by humans, it will therefore necessarily be understandable and thus controllable, by humans. Today, Lyotard’s vision of an informatically literate populous has more or less come true. Of course we do not completely understand the intimate workings of all our devices or the software that runs them, but the majority of the world population has some form of regular relationship with systems simulated on silicon. And as Lyotard himself made clear, the uptake of technocapitalism, and therefore the devices and systems it propagates, is piece-meal and difficult to predict or trace. At the same time Google’s fleet of self-driving motor vehicles are let-loose on Californian state highways, in parts of sub-Saharan Africa models of mobile-phones designed 10 or more years ago are allowing farming communities to aggregate their produce into quantities with greater potential to make profit on a world market. As Brian Massumi remarks, network technology allows us the possibility of “bringing to full expression a prehistory of the human”, a “worlding of the human” that marks the “becoming-planetary” of the body itself. [7] This “worlding of the human” represents what Edmund Berger argues is the death of the Postmodern condition itself: [T]he largest bankruptcy of Postmodernism is that the grand narrative of human mastery over the cosmos was never unmoored and knocked from its pulpit. Instead of making the locus of this mastery large aggregates of individuals and institutions – class formations, the state, religion, etc. – it simply has shifted the discourse towards the individual his or herself, promising them a modular dreamworld for their participation… [8] Algorithmic narratives appear to continue this trend. They are piece-meal, tending to feedback user’s dreams, wants and desires, through carefully aggregated, designed, packaged Narratives for individual ‘use’. A world not of increasing connectivity and understanding between entities, but a network worlded to each individual’s data-shadow. This situation is reminiscent of the problem pointed out by Eli Pariser of the ‘filter bubble’, or the ‘you loop’, a prevalent outcome of social media platforms tweaked and personalised by algorithms to echo at the user exactly the kind of thing they want to hear. As algorithms develop in complexity the stories they tell us about the vast sea of data will tend to become more and more enamoring, more and more palatable. Like some vast synthetic evolutionary experiment, those algorithms that devise narratives users dislike, will tend to be killed off in the feedback loop, in favour of other algorithms whose turn of phrase, or ability to stoke our egos, is more pronounced. For instance, Narrative Science’s early algorithms for creating little league narratives tended to focus on the victors of each game. What Narrative Science found is that parents were more interested in hearing about their own children, the tiny ups and downs that made the game significant to them. So the algorithms were tweaked in response. Again, to quote chief scientist Kris Hammond from Narrative Science: These are narratives generated by systems that understand data, that give us information to support the decisions we need to make about tomorrow. [9] Whilst we can program software to translate the informational nuances of a baseball game, or internet social trends, into human palatable narratives, larger social, economic and environmental events also tend to get pushed through an algorithmic meatgrinder to make them more palatable. The ‘tomorrow’ that Hammond claims his company can help us prepare for is one that, presumably, companies like Narrative Science and Prismatic will play an ever larger part in realising. In her recently published essay on Crisis and the Temporality of Networks, Wendy Chun reminds us of the difference between the user and the agent in the machinic assemblage: Celebrations of an all powerful user/agent – ‘you’ as the network, ‘you’ as the producer- counteract concerns over code as law as police by positing ‘you’ as the sovereign subject, ‘you’ as the decider. An agent however, is one who does the  actual labor, hence agent is one who acts on behalf of another. On networks, the agent would seem to be technology, rather than the users or programmers who authorize actions through their commands and clicks. [10] In order to unpack Wendy Chun’s proposition here we need only look at two of the most powerful, and impactful algorithms from the last ten years of the web. Firstly, Amazon’s recommendation system, which I assume you have all interacted with at some point. And secondly, Facebook’s news feed algorithm, that ranks and sorts posts on your personalised stream. Both these algorithms rely on a community of user interactions to establish a hierarchy of products, or posts, based on popularity. Both these algorithms also function in response to user’s past activity, and both, of course, have been tweaked and altered over time by the design and programming teams of the respective companies. As we are all no doubt aware, one of the most significant driving principles behind these extraordinarily successful pieces of code is capitalism itself. The drive for profit, and the relationship that has on distinguishing between a successful or failing company, service or product. Wendy Chun’s reminder that those that carry out an action, that program and click, are not the agents here should give use solace. We are positioned as sovereign subjects over our data, because that idea is beneficial to the propagation of the ‘product’. Whether we are told how well our child has done at baseball, or what particular kinds of news stories we might like, personally, to read right now, it is to the benefit of technocapitalism that those narratives are positive, palatable and uncompromising. However the aggregation and dissemination of big data effects our lives over the coming years, the likelihood is that at the surface – on our screens, and ubiquitous handheld devices – everything will seem rosey, comfortable, and suited to the ‘needs’ and ‘use’ of each sovereign subject.

TtW15 #A7 @npseaver @nd_kane @s010n @smwat pic.twitter.com/BjJndzaLz1

— Daniel Rourke (@therourke) April 17, 2015

So to finish I just want to gesture towards a much much bigger debate that I think we need to have about big data, technocapitalism and its algorithmic agents. To do this I just want to read a short paragraph which, as far as I know, was not written by an algorithm: Surface temperature is projected to rise over the 21st century under all assessed emission scenarios. It is very likely that heat waves will occur more often and last longer, and that extreme precipitation events will become more intense and frequent in many regions. The ocean will continue to warm and acidify, and global mean sea level to rise. [11] This is from a document entitled ‘Synthesis Report for Policy Makers’ drafted by The Intergovernmental Panel on Climate Change – another organisation who rely on a transnational network of computers, sensors, and programs capable of modeling atmospheric, chemical and wider environmental processes to collate data on human environmental impact. Ironically then, perhaps the most significant tool we have to understand the world, at present, is big data. Never before has humankind had so much information to help us make decisions, and help us enact changes on our world, our society, and our selves. But the problem is that some of the stories big data has to tell us are too big to be narrated, they are just too big to be palatable. To quote Edmund Berger again: For these reasons we can say that the proper end of postmodernism comes in the gradual realization of the Anthropocene: it promises the death of the narrative of human mastery, while erecting an even grander narrative. If modernism was about victory of human history, and postmodernism was the end of history, the Anthropocene means that we are no longer in a “historical age but also a geological one. Or better: we are no longer to think history as exclusively human…” [12] I would argue that the ‘grand narratives of legitimation’ Lyotard claimed we left behind in the move to Postmodernity will need to return in some way if we are to manage big data in a meaningful way. Crises such as catastrophic climate change will never be made palatable in the feedback between users, programmers and  technocapitalism. Instead, we need to revisit Lyotard’s distinction between the true and the useful. Rather than ask how we can make big data useful for us, we need to ask what grand story we want that data to tell us.   References [1] Source: www.narrativescience.com, accessed 15/10/14 [2] Steven Levy, “Can an Algorithm Write a Better News Story Than a Human Reporter?,” WIRED, April 24, 2012, http://www.wired.com/2012/04/can-an-algorithm-write-a-better-news-story-than-a-human-reporter/. [3] “Steven Poole – On Algorithms,” Aeon Magazine, accessed May 8, 2015, http://aeon.co/magazine/technology/steven-poole-can-algorithms-ever-take-over-from-humans/. [4] Ibid. [5] Jean-François Lyotard, The Postmodern Condition: A Report on Knowledge, Repr, Theory and History of Literature 10 (Manchester: Univ. Pr, 1992), 50. [6] Ibid., 51. [7] Brian Massumi, Parables for the Virtual: Movement, Affect, Sensation (Duke University Press, 2002), 128. [8] Edmund Berger, “The Anthropocene and the End of Postmodernism,” Synthetic Zero, n.d., http://syntheticzero.net/2015/04/01/the-anthropocene-and-the-end-of-postmodernism/. [9] Source: www.narrativescience.com, accessed 15/10/14 [10] Wendy Chun, “Crisis and the Temporality of Networks,” in The Nonhuman Turn, ed. Richard Grusin (Minneapolis: University of Minnesota Press, 2015), 154. [11] Rajendra K. Pachauri et al., “Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change,” 2014, http://epic.awi.de/37530/. [12] Berger, “The Anthropocene and the End of Postmodernism.”

Daniel Rourke: At Furtherfield on November 22nd 2014 you launched a Beta version of a networked project, 6PM Your Local Time, in collaboration with Fabio Paris, Abandon Normal Devices and Gummy Industries. #6PMYLT uses twitter hashtags as a nexus for distributed art happenings. Could you tell us more about the impetus behind the project? Domenico Quaranta: In September 2012, the Link Art Center launched the Link Point in Brescia: a small project space where, for almost two years, we presented installation projects by local and international artists. The Link Point was, since the beginning, a “dual site”: a space where to invite our local audience, but also a set for photographic documentation meant to be distributed online to a global audience. Fabio Paris’ long experience with his commercial gallery – that used the same space for more than 10 years, persuaded us that this was what we had to offer to the artists invited. So, the space was reduced to a small cube, white from floor to ceiling, with neon lights and a big logo (a kind of analogue watermark) on the back door. Thinking about this project, and the strong presence of the Link Point logo in all the documentation, we realized that the Link Point was actually not bound to that space: as an abstract, highly formalized space, it could actually be everywhere. Take a white cube and place the Link Point logo in it, and that’s the Link Point.

This realization brought us, on the one hand, to close the space in Brescia and to turn the Link Point into a nomad, erratic project, that can resurrect from time to time in other places; and, on the other hand, to conceive 6PM Your Local Time. The idea was simple: if exhibition spaces are all more or less similar; if online documentation has become so important to communicate art events to a wider audience, and if people started perceiving it as not different from primary experience, why not set up an exhibition that takes place in different locations, kept together only by documentation and by the use of the same logo? All the rest came right after, as a natural development from this starting point (and as an adaptation of this idea to reality). Of course, this is a statement as well as a provocation: watching the documentation of the UK Beta Test you can easily realize that exhibition spaces are NOT more or less the same; that attending or participating in an event is different from watching pictures on a screen; that some artworks work well in pictures but many need to be experiences. We want to stress the value of networking and of giving prominence to your network rather than to your individual identity; but if the project would work as a reminder that reality is still different from media representation, it would be successful anyway. Daniel Rourke: There is something of Hakim Bey’s Temporary Autonomous Zones in your proposal. The idea that geographic, economic and/or political boundaries need no longer define the limits of social collective action. We can criticise Bey’s 1991 text now, because in retrospect the Internet and its constitutive protocols have themselves become a breeding ground for corporate and political concerns, even as technology has allowed ever more distributed methods of connectivity. You foreground network identity over individual identity in the 6PM YLT vision, yet the distinction between the individuals that create a network and the corporate hierarchies that make that networkingpossible are less clear. I am of course gesturing towards the use of Twitter as the principal platform of the project, a question that Ruth Catlow brought up at the launch. Do you still believe that TAZs are possible in our hyper-connected, hyper-corporate world? Domenico Quaranta: In its first, raw conceptualization, 6PM YLT had to come with its own smartphone app, that had to be used both to participate in the project and to access the gallery. The decision to aggregate content published on different social platforms came from the realization that people already had the production and distribution tools required to participate in the action, and were already familiar with some gestures: take a photo, apply a filter, add an hashtag, etc. Of course, we could invite participants and audiences to use some specific, open source social network of our choice, but we prefer to tell them: just use the fucking platform of your choice. We want to facilitate and expand participation, not to reduce it; and we are not interested in adding another layer to the project. 6PM YLT is not a TAZ, it’s just a social game that wants to raise some awareness about the importance of documentation, the power of networks, the public availability of what we do with our phones. And it’s a parasitic tool that, as anything else happening online, implies an entire set of corporate frameworks in order to exist: social networks, browsers, operative systems, internet providers, server farms etc. That said, yes, I think TAZs are still possible. The model of TAZ has been designed for an hyper-connected, hyper-corporate world; they are temporary and nomadic; they exist in interstices for a short time. But I agree that believing in them is mostly an act of faith.

Daniel Rourke: The beta-tested, final iteration of 6pm YLT will be launched in the summer of 2015. How will you be rolling out the project in the forthcoming months? How can people get involved? Domenico Quaranta: 6PM Your Local Time has been conceived as an opportunity, for the organizing subject, to bring to visibility its network of relationships and to improve it. It’s not an exhibition with a topic, but a social network turned visible. To put it simply: our identity is defined not just by what we do, but also by the people we hang out with. After organizing 6PM Your Local Time Europe, the Link Art Center would like to take a step back and to offer the platform to other organizing subjects, to allow them to show off their network as well. So, what we are doing now is preparing a long list of institutions, galleries and artists we made love with in the past or we’d like to make love with in the future, and inviting them to participate in the project. We won’t launch an open call, but we already made the event public saying that if anyone is interested to participate, they are allowed to submit a proposal. We won’t accept anybody, but we would be happy to get in touch with people we didn’t know. After finalizing the list of participants, we will work on all the organizational stuff, basically informing them about the basic rules of the game, gathering information about the events, answering questions, etc. On the other hand, we have of course to work on the presentation. While every participant presents an event of her choice, the organizer of a 6PM Your Local Time event has to present to its local audience the platform event, as an ongoing installation / performance. We are from Brescia, Italy, and that’s where we will make our presentation. We made an agreement with MusicalZOO, a local festival of art and electronic music, in order to co-produce the presentation and have access to their audience. This is what determined the date of the event in the first place. Since the festival takes place outdoor during the summer, we are working with them on designing a temporary office where we can coordinate the event, stay in touch with the participants, discuss with the audience, and a video installation in which the live stream of pics and videos will be displayed. Since we are expecting participants from Portugal to the Russian Federation, the event will start around 5 PM, and will follow the various opening events up to late night. One potential reference for this kind of presentation may be those (amazing) telecommunication projects that took place in the Eighties: Robert Adrian’s The World in 24 Hours, organized at Ars Electronica in 1982; the Planetary Network set up in 1986 at the Venice Biennale; and even Nam June Paik’s satellite communication project Good Morning Mr Orwell (1984). Left to Right – Enrico Boccioletti, Kim Asendorf, Ryder Ripps, Kristal South, Evan Roth Daniel Rourke: Your exhibition Unoriginal Genius, featuring the work of 17 leading net and new media artists, was the last project to be hosted in the Carroll/Fletcher Project Space (closing November 22nd, 2014). Could you tell us more about the role you consider ‘genius’ plays in framing contemporary art practice? Domenico Quaranta: The idea of genius still plays an important role in Western culture, and not just in the field of art. Whether we are talking about the Macintosh, Infinite Jest, a space trip or Nymphomaniac, we are always celebrating an individual genius, even if we perfectly know that there is a team and a concerted action behind each of these things. Every art world is grounded in the idea that there are gifted people who, provided specific conditions, can produce special things that are potentially relevant for anybody. This is not a problem in itself – what’s problematic are some corollaries to our traditional idea of genius – namely “originality” and “intellectual property”. The first claims that a good work of creation is new and doesn’t depend on previous work by others; the second claims that an original work belongs to the author. In my opinion, creation never worked this way, and I’m totally unoriginal in saying this: hundreds of people, before and along to me, say that creating consists in taking chunks of available material and assembling them in ways that, in the best situation, allow us to take a small step forward from what came before. But in the meantime, entire legal systems have been built upon such bad beliefs; and what’s happening now is that, while on the one hand the digitalization of the means of production and dissemination allow us to look at this process with unprecedented clarity; on the other hand these regulations have evolved in such a way that they may eventually slow down or stop the regular evolution of culture, which is based on the exchange of ideas. We – and creators in particular – have to fight against this situation. But Unoriginal Genius shouldn’t be read in such an activist way. It is just a small attempt to show how the process of creation works today, in the shared environment of a networked computer, and to bring this in front of a gallery audience. Left to Right – Kim Asendorf, Ryder Ripps, Kristal South, Evan Roth Daniel Rourke: So much online material ‘created’ today is free-flowing and impossible to trace back to an original author, yet the tendency to attribute images, ideas or ‘works’ to an individual still persists – as it does in Unoriginal Genius. I wonder whether you consider some of the works in the show as more liberated from authorial constraints than others? That is, what are the works that appear to make themselves; floating and mutating regardless of particular human (artist) intentions? Domenico Quaranta: Probably Museum of the Internet is the one that fits best to your description. Everybody can contribute anonymously to it by just dropping images on the webpage; the authors’ names are not available on the website, and there’s no link to their homepage. It’s so simple, so necessary and so pure that one may think that it always existed out there in some way or another. And in a way it did, because the history of the internet is full of projects that invite people to do more or less the same. Left to Right – Brout & Marion, Gervais & Magal, Sara Ludy Daniel Rourke: 2014 was an exciting year for the recognition of digital art cultures, with the appointment of Dragan Espenschied as lead Digital Conservator at Rhizome, the second Paddles On! auction of digital works in London, with names like Hito Steyerl and Ryan Trecartin moving up ArtReview’s power list, and projects like Kenneth Goldsmith’s ‘Printing out the Internet’ highlighting the increasing ubiquity – and therefore arguable fragility – of web-based cultural aggregation. I wondered what you were looking forward to in 2015 – apart from 6PM YLT of course. Where would you like to see the digital/net/new media arts 12 months from now? Domenico Quaranta: On the moon, of course! Out of joke: I agree that 2014 has been a good year for the media arts community, as part of a general positive trend along the last few years. Other highlighs may include, in various order: the September 2013 issue of Artforum, on “Art and Media”, and the discussion sparked by Claire Bishop’s essay; Cory Arcangel discovering and restoring lost Andy Warhol’s digital files from floppy disks; Ben Fino-Radin becoming digital conservator at MoMA, New York; JODI winning the Prix Net Art; the Barbican doing a show on the Digital Revolution with Google. Memes like post internet, post digital and the New Aesthetic had negative side effects, but they helped establishing digital culture in the mainstream contemporary art discourse, and bringing to prominence some artists formerly known as net artists. In 2015, the New Museum Triennial will be curated by Lauren Cornell and Ryan Trecartin, and DIS has been announced to be curator of the 9th Berlin Biennial in 2016. All this looks promising, but one thing that I learned from the past is to be careful with optimistic judgements. The XXI century started with a show called 010101. Art in Technological Times, organized by SFMoMA. The same year, net art entered the Venice Biennale, the Whitney organizedBitstreams and Data Dynamics, the Tate Art and Money Online. Later on, the internet was announced dead, and it took years for the media art community to get some prominence in the art discourse again. The situation now is very different, a lot has been done at all levels (art market, institutions, criticism), and the interest in digital culture and technologies is not (only) the result of the hype and of big money flushed by corporations unto museums. But still, where we really are? The first Paddles On! Auction belongs to history because it helped selling the first website ever on auction; the second one mainly sold digital and analogue paintings. Digital Revolution was welcomed by sentences like: “No one could fault the advances in technology on display, but the art that has emerged out of that technology? Well, on this showing, too much of it seems gimmicky, weak and overly concerned with spectacle rather than meaning, or making a comment on our culture.” (The Telegraph) The upcoming New Museum Triennial will include artists like Ed Atkins, Aleksandra Domanovic, Oliver Laric, K-HOLE, Steve Roggenbuck, but Lauren and Ryan did their best to avoid partisanship. There’s no criticism in this statement, actually I would have done exactly the same, and I’m sure it will be an amazing show that I can’t wait to see. Just, we don’t have to expect too much from this show in terms of “digital art recognition”. So, to put it short: I’m sure digital art and culture is slowly changing the arts, and that this revolution will be dramatic; but it won’t take place in 2015

http://www.6pmyourlocaltime.com/

Artist Daniel Temkin has been creating and discussing glitch art for over seven years. In that time, he's exhibited in solo and group shows, and had his work featured in Rhizome and Fast Company, amongst other publications. For Temkin, glitch art is about the disruption of algorithms, though algorithmic art is a bit of a misnomer. He prefers "algo-glitch demented" in describing the methods, aesthetics, and philosophy of glitch.

In January, Temkin published a fascinating glitch art essay on NOOART titled "Glitch && Human/Computer Interaction." There he laid down the philosophy and "mythology" of glitch, which had really started in a series of email conversations with Hugh Manon. Though there is no shortage of writings on glitch art, many aspects of the these texts didn't address what Temkin loved most about how it is created.

"The glitch aesthetic may be rooted in the look of malfunction, but when it comes to actual practice, there’s often not much glitch in glitch art," wrote Temkin in the essay. "Yes, some glitch artists are actually exploiting bugs to get their results — but for most it would be more accurate to describe these methods as introducing noisy data to functional algorithms or applying these algorithms in unconventional ways." This, he said, doesn't make it traditional algorithmic art (algorithm-designed artworks), but a more demented form of it—algo-glitch demented.

Over a series of email conversations, Temkin elaborated on some of his conclusions in "Glitch && Human/Computer Interaction." Aside from highlighting some of the best algo-glitch demented art, Temkin also talked about bad data, image hacking, and why computers are no less "image makers" than humans even though they aren't sentient (yet).

MOTHERBOARD: Aside from being an artist working in glitch, would you say that you've also sort of become a philosopher of glitch or algorithmic art, if there is such a thing?

Temkin: There's tons of writing on glitch, much of it very good (Lab404.com, for instance), but some aspects of glitch theory didn't jibe with what really interested me about the style. Originally, Hugh Manon and I started a long email conversation about glitch, which evolved into our 2011 paper. It ranged across glitch aesthetics, methodology, and issues around authorship, while delving into glitch's ambivalence about error—the way the glitch is possible because of software's ability to "fail to fully fail" when coming across unexpected data.

We questioned why computer error is so emphasized in this form when nothing is really at stake in a digital file (a deleted but endlessly reproducible JPEG has none of the aura of an Erased DeKooning), and what it means to purposely simulate an error, something that ordinarily has power because it is unexpected and outside of our control.

Ted Davis, FFD8 project

These issues stuck with me, until I considered Clement Valla's familiar quote about his Postcards From Google Earth project: that "these images are not glitches... they are the absolute logical result of the system." It was a familiar quote, but in this instance got me thinking about how most glitchwork can be described the same way—as products of perfectly functional systems.

I wrote my recent piece for NOOART, arguing that glitch's preoccupation with error doesn't always serve it well, that it limits the scope of what's produced and how we talk about it. Bypassing computer error opened new avenues of investigation about our relationship both with technology and with logic systems more generally, and got at what interested me more about the style we call glitch.

In the NOOART essay, you write: "Some glitch artists are actually exploiting bugs to get their results — but for most it would be more accurate to describe these methods as introducing noisy data to functional algorithms or applying these algorithms in unconventional ways." Can you elaborate on that point?

In the paper, I discuss JPEG corruption, one of the fundamental glitch techniques. Introduce bad data to a JPEG file, and you'll see broken-looking images emerge. I use this example because it's so familiar to glitch practice. JPEG is not just a file format but an algorithm that compresses/decompresses image data.

When we "corrupt" a JPEG, we're altering compressed data so that it (successfully) renders to an image that no longer appears photographic, taking on a chunky, pixelated, more abstract character we associate with broken software. To the machine, it is not an error—if the image were structurally damaged, we would not be able to open it. This underscores the machine as an apparatus indifferent to what makes visual sense to us, at a place where our expectations clash with algorithmic logic.

Daniel Temkin, Dither Studies #2, 2011

The excitement of altering JPEG data directly is the sense of image hacking—making changes at the digital level without being able to predict the outcome. This becomes more apparent in other glitch techniques, such as sonification, which add layers of complexity to the process. Giving up control to a system or process has a long history in art.

Gerhard Richter describes committing to a systematic approach, veiling the work from conscious decisions that may ruin or limit it. As he puts it, "if the execution works, this is only because I partly destroy it, or because it works in spite of everything—by not detracting and by not looking the way I planned" [p179, Gerhard Richter, Panorama]. In digital art, we often function in an all-too-WYSIWYG environment. Glitch frees us from this, bringing us to unexpected places.

Can you draw a distinction between generative art (which can feature algorithms) and your concept of algo-glitch demented?

I call it algo-glitch demented, as opposed to algorithmic art (which I understand meaning generative art that uses algorithms). I'll have to paraphrase Philip Galanter and say that generative art is any practice where the artist sets a system "in motion with some degree of autonomy," resulting in a work.

"Glitch is a cyborg art, building on human/computer interaction. The patterns created by these unknown processes is what I call the wilderness within the machine." What makes algo-glitch demented is how we misuse existing algorithms, running them in contexts that had never been intended by their designers. Furthermore, there are moments of autonomy in algo-glitch, but this autonomy is not what defines it as algo-glitch; what's more important is the control we give up to the process.

You call glitch art a collaboration with the machine. That's an interesting point because the human is conscious of this, while the machine is not. Or, do you have another way of looking at that collaboration?

Machines are not sentient, but they are image-makers. Trevor Paglen, in a recent Frieze Magazine piece, says we are now or very soon to be at the point "where the majority of the world’s images are made by-machines-for-machines," and "seeing with the meat-eyes of our human bodies is increasingly the exception," refering to facial-recognition systems, qr code readers, and a host of other automation.

One of the most compelling ideas to come from James Bridle's New Aesthetic is how we can treat the machine as having a vision—even as we know it's not sentient—and just how strange this vision is, that does not hold human beings as its audience.

Jeff Donaldson, panasonic wj-mx12 video feedback, 2012

Glitch artists have been doing this for a long time, treating it as an equal collaborator and seeing where it leads us as we cede control to broken processes and zombie algorithms. Curt Cloninger describes it as "painting with a very blunt brush that has a mind of its own;" in this way, glitch is a cyborg art, building on human/computer interaction. The patterns created by these unknown processes is what I call the wilderness within the machine.

Can you talk about glitch as mythology? I've never heard it described as such.

I'm probably being a bit obnoxious there, using mythology to describe the gap between how we talk about glitch and what we're actually doing. There are several strains of work within glitch or that overlap with glitch. There is Dirty New Media, which is related to noise-based work; materialist explorations; the algo-glitch I've emphasized in the JPEG example; and what we might call "minimal slippage glitch" (a term that arose in a Facebook discussion between me and Rosa Menkman).

Minimal Slippage fits a familiar contemporary art scenario of the single gesture that puts things in motion and reveals something new. It's great when things actually work this way, but when this language is used to describe work made by manipulating data repeatedly, there's a problem.

I also take issue with the term glitch art. I don't propose we replace it, only to be more conscious of its influence. If we produce work with other visual styles using glitch processes, why limit ourselves to work that has an error-strewn appearance? This connection begins to seems artificial. I kept this in mind with my Glitchometry series. I use the sonification technique to process simple geometric shapes (b&w squares and triangles, etc.) into works that range from somewhat glitchy to abstractions that fall very far from a glitch aesthetic. They emphasize process, the back-and-forth with the machine, and an anxiety about giving up that control.

Clement Valla, from “Iconoclashes” 2013

With Glitchometry Stripes (an extension of the Glitchometry work), the results are even less glitchy in appearance; this time using only sound effects that cleanly transform the lines, ending up with Op Art-inspired, crisply graphic works that create optical buzzing when scrolled across the screen.

You mention Ted Davis's FFD8 project in your essay. What is it about the work that you like?

FFD8 is JPEG image hacking, with protection against messing up the header (which would make the image undisplayable). It's a gentle introduction to glitching, but it illustrates how it works, which encourages one to go deeper. I'm suspicious of glitch software that does all the work for you, essentially turning glitch styling into the equivalent of a Photoshop filter. With FFD8, enough of the process is exposed that folks starting out in the style might decide to take the next step and mess with raw files directly, or build their own software, or discover some new avenue to create work.

What's your opinion on something like the iPhone's panorama function, which, if you move the camera fast or in unexpected directions, creates glitches? It's movement-based as opposed to other types of glitch.

I think someone will come along with a brilliant idea of how to use it to do something fresh and interesting. One interesting work that uses photo-stitching (although not on the iPhone) is Clement Valla's Iconoclasts series. He loads images of gods from the Met's collection and lets Photoshop decide how to combine them, creating improbable composites, many physically impossible. It works because of how carefully the objects were photographed. Each is lit the same way with the same background. Many of these religious relics come from cultures where it was believed that such objects were not created by human hands. Now an algorithm, also not human, decides how to combine them to construct new artifacts.

Daniel Temkin, Glitchometry Circles #6, 2013

Where do you feel you've been most successful in your own projects?

I never trust artists to tell me which of their works are more successful. [laughs] I'll tell you the theme I'm most interested in. Much of my work revolves around this clash between human thinking and computer logic, and the compulsiveness that comes from trying to think in a logical way. My own experience with this comes from programming, which is my background from before art. Glitch gives me a way to create chaotic works as a release from the overly structured thinking programming requires.

As a few examples of work that deals with this, my Dither Studies expose the seemingly irrational patterns that come from the very simple rules of dithering patterns. They began as a collaboration with Photoshop, where I asked it to dither a solid color with two incompatible colors. From there, I constructed a web tool that walks through progressions of dithers.

In Drunk Eliza, I re-coded the classic chat bot using my language Entropy, where all data is unstable. Since the original Eliza has such a small databank of phrases, yet so clearly has a personality, I wanted to know how she would seem with her mind slowly disintegrating, HAL-style. Drunk Eliza was the result. The drunken responses she gets online have been a great source of amusement for me.

If there is one issue in contemporary life that supposedly defines the progressive nature of liberal societies, it is gay rights. Over the past half-century, most of the world’s Western democracies have seen incredible strides toward fuller acceptance of gay people. In the United States, the pace is, if anything, increasing, as each step toward full equality—from the striking down of anti-sodomy laws, to the Supreme Court’s recent decision voiding the Defense of Marriage Act, to the increasing number of state legislatures legalizing gay marriage—builds on prior ones.

The sense of history moving forward is not limited to people who cheer on this expansion of rights. When Justice Antonin Scalia dissented from the majority opinion in Lawrence v. Texas (2003), the case that struck down the Lone Star State’s anti-sodomy law, he wrote, “If moral disapprobation of homosexual conduct is ‘no legitimate state interest’ for purposes of proscribing that conduct…what justification could there possibly be for denying the benefits of marriage to homosexual couples exercising ‘[t]he liberty protected by the Constitution?’” The more recent decision in United States v. Windsor—which did not legalize gay marriage in all fifty states—allowed Scalia to make another slippery-slope prediction: “By formally declaring anyone opposed to same-sex marriage an enemy of human decency, the majority arms well every challenger to a state law restricting marriage to its traditional definition.” Scalia’s views are odious, but it’s hard to look at the history of the issue and doubt that he is right: gay marriage is coming to all fifty states, and he can’t do a thing about it.

To John Gray, the British philosopher, political theorist and wide-ranging cultural critic, the optimistic narrative I have sketched is another example of fanciful, misguided optimism. According to Gray, human flourishing is cyclical, and does not inevitably increase over time. Advances are followed by setbacks, and eras of peace by horrific wars. Unprecedented developments in medicine, science and women’s rights in the first half of the twentieth century were succeeded by the worst conflict in human history. Jim Crow came after Reconstruction. And revolutions that initially seemed to offer the promise of more freedom—whether in France or Iran or Egypt today—have led to violence and depravity, if not chaos. One imagines Gray arguing that of course the Western world could see a further entrenchment of gay rights; at the same time, an unknown series of events might lead to the reverse scenario. All we know is that we don’t know.

What concerns Gray, as he has argued in numerous articles, books and lectures, is that those who believe in steady progress are foolishly engaging in teleological thinking. “Progressives”—in the most literal sense of the word—have replaced religion with a faithful humanism that allows for a nearly supernatural view of human functioning, behavior and flourishing. Rather than viewing humans as just another member of the animal kingdom, “humanists” believe that our species can fulfill a unique destiny and reach The End of History. This faith in progress, Gray believes, will end up leading to great crimes and disasters. Ideological fanaticism, whether rooted in a teleological view of human liberation, national destiny or divine provenance, has led us down this road before.

Gray has become one of the most visible and prolific public intellectuals of the past decade, and he is almost always worth reading. His knowledge of philosophy and history is nicely integrated with his passion for literature and the arts. He would scorn the title of humanist, but his writing contains a wide-ranging curiosity about other people. In his recent work, however, he has chosen to simplify the arguments of writers he scorns and proclaim that anyone who disagrees with him is near messianic in his or her thinking. Gray’s incessant pessimism about humanity’s ability to spark durable change has produced its own form of teleology. As E.H. Carr wrote in “What Is History,” “To denounce ideologies in general is to set up an ideology of one’s own.”

People who have moved through various stages of political orientation have a tendency to prove that the last stage of ideological drift is ideological certainty. David Horowitz went from honorary Black Panther to contented Reaganite before settling into the role of insufferable campus troublemaker. Arianna Huffington metamorphosed from anti-feminist Republican to establishment centrist and, at least for the time being, into a harsh critic of the financial system and committed liberal partisan.

Gray would at first appear to be an exception to this rule. Although he has inhabited the roles of moderate Thatcherite, admirer of Tony Blair’s New Labour experiment and strong opponent of the Iraq War, he currently scorns free market evangelism and interventionism. His general political outlook now appears to approximate that of a mainstream liberal, if only because he heaps scorn on anyone too far on either side of the current political spectrum. (Mainstream liberalism has made its compromises with imperialism and more rapacious forms of capitalism, and so it is to Gray’s credit that he has devoted so much energy to criticizing both.)

It is in the field of criticism—in both senses—that Gray has flourished. His close reading of Marx has frequently come in handy when evaluating such ideologically distinct figures as Thomas Friedman and Slavoj Zizek. In the former case, Gray explained the surprising similarities between Friedman’s thinking about globalization and Marx’s, both of which were prone to shunting aside cultural analysis to focus on technological advancement. In his dissection of Zizek, meanwhile, he lauded Marx’s empiricism, which stands in stark contrast to the blathering of his “Leninist” (in Zizek’s word) follower.

It was in his 1995 book on Isaiah Berlin, however, that Gray (who studied under Berlin at Oxford) was at his finest, largely because he managed to put forth a reading of Berlin’s political philosophy that added up to something significant. Berlin was often accused of failing to provide a grand theory for his many arguments about liberalism, largely because celebrating “negative liberty”—essentially being left alone, free from interference—does not necessarily yield a coherent political philosophy. But Gray showed that Berlin’s distrust of monism added up to a robust pluralism, or what Gray called an “agnostic liberalism.” “The master-thesis of pluralism supports liberalism,” he wrote, further defining it as a sort of liberalism that “grounds itself on the radical choices we must make among incommensurables.”

“Propaganda is called upon to solve problems created by technology, to play on maladjustments and to integrate the individual into a technological world” (Ellul xvii).

How might future research into digital culture approach a purported “post-digital” age? How might this be understood?

1.

A problem comes from the discourse of ‘the digital’ itself: a moniker which points towards units of Base-2 arbitrary configuration, impersonal architectures of code, massive extensions of modern communication and ruptures in post-modern identity. Terms are messy, and it has never been easy to establish a ‘post’ from something, when pre-discourse definitions continue to hang in the air. As Florian Cramer has articulated so well, ‘post-digital’ is something of a loose, ‘hedge your bets’ term, denoting a general tendency to criticise the digital revolution as a modern innovation (Cramer).

Perhaps it might be aligned with what some have dubbed “solutionism” (Morozov) or “computationalism” (Berry 129; Golumbia 8): the former critiquing a Silicon Valley-led ideology oriented towards solving liberalised problems through efficient computerised means. The latter establishing the notion (and critique thereof) that the mind is inherently computable, and everything associated with it. In both cases, digital technology is no longer just a business that privatises information, but the business of extending efficient, innovative logic to all corners of society and human knowledge, condemning everything else through a cultural logic of efficiency.

In fact, there is a good reason why ‘digital’ might as well be an synonym for ‘efficiency’. Before any consideration is assigned to digital media objects (i.e. platforms, operating systems, networks), consider the inception of ‘the digital’ inception as such: that is information theory. If information was a loose, shabby, inefficient method of vagueness specific to various mediums of communication, Claude Shannon compressed all forms of communication into a universal system with absolute mathematical precision (Shannon). Once information became digital, the conceptual leap of determined symbolic logic was set into motion, and with it, the ‘digital’ became synonymous with an ideology of effectivity. No longer would miscommunication be subject to human finitude, nor be subject to matters of distance and time, but only the limits of entropy and the matter of automating messages through the support of alternating ‘true’ or ‘false’ relay systems.

However, it would be quite difficult to envisage any ‘post-computational’ break from such discourses – and with good reason: Shannon’s breakthrough was only systematically effective through the logic of computation. So the old missed encounter goes: Shannon presupposed Alan Turing’s mathematical idea of computation to transmit digital information, and Turing presupposed Shannon’s information theory to understand what his Universal Turing Machines were actually transmitting. The basic theories of both have not changed, but the materials affording greater processing power, extensive server infrastructure and larger storage space have simply increased the means for these ideas to proliferate, irrespective of what Turing and Shannon actually thought of them (some historians even speculate that Turing may have made the link between information and entropy two years before Bell Labs did) (Good).

Thus a ‘post-digital’ reference point might encompass the historical acknowledgment of Shannon’s digital efficiency, and Turing’s logic but by the same measure, open up a space for critical reflection, and how such efficiencies have transformed not only work, life and culture but also artistic praxis and aesthetics. This is not to say that digital culture is reducibly predicated on efforts made in computer science, but instead fully acknowledges these structures and accounts for how ideologies propagate reactionary attitudes and beliefs within them, whilst restricting other alternatives which do not fit their ‘vision’. Hence, the post-digital ‘task’ set for us nowadays might consist in critiquing digital efficiency and how it has come to work against commonality, despite transforming the majority of Western infrastructure in its wake.

The purpose of these notes is to outline how computation has imparted an unwarranted effect of totalised efficiency, and to label this effect the type of description it deserves: propaganda. The fact that Shannon and Turing had multiple lunches together at Bell labs in 1943, held conversations and exchanged ideas, but not detailed methods of cryptanalysis (Price & Shannon) provides a nice contextual allegory for how digital informatics strategies fail to be transparent.

But in saying this, I do not mean that companies only use digital networks for propagative means (although that happens), but that the very means of computing a real concrete function is constitutively propagative. In this sense, propaganda resembles a post-digital understanding of what it means to be integrated into an ecology of efficiency, and how technical artefacts are literally enacted as propagative decisions. Digital information often deceives us into accepting its transparency, and of holding it to that account: yet in reality it does the complete opposite, with no given range of judgements available to detect manipulation from education, or persuasion from smear. It is the procedural act of interacting with someone else’s automated conceptual principles, embedding pre-determined decisions which not only generate but pre-determine ones ability to make choices about such decisions, like propaganda.

This might consist in distancing ideological definitions of false consciousness as an epistemological limit to knowing alternatives within thought, to engaging with a real programmable systems which embeds such limits concretely, withholding the means to transform them. In other words, propaganda incorporates how ‘decisional structures’ structure other decisions, either conceptually or systematically.

2.

Two years before Shannon’s famous Masters thesis, Turing published what would be a theoretical basis for computation in his 1936 paper “On Computable Numbers, with an Application to the Entscheidungsproblem.” The focus of the paper was to establish the idea of computation within a formal system of logic, which when automated would solve particular mathematical problems put into function (Turing, An Application). What is not necessarily taken into account is the mathematical context to that idea: for the foundations of mathematics were already precarious, way before Turing outlined anything in 1936. Contra the efficiency of the digital, this is a precariousness built-in to computation from its very inception: the precariousness of solving all problems in mathematics.

The key word of that paper, its key focus, was on the Entscheidungsproblem, or decision problem. Originating from David Hilbert’s mathematical school of formalism, ‘decision’ means something more rigorous than the sorts of decisions in daily life. It really means a ‘proof theory’, or how analytic problems in number theory and geometry could be formalised, and thus efficiently solved (Hilbert 3). Solving a theorem is simply finding a provable ‘winning position’ in a game. Similar to Shannon, ‘decision’ is what happens when an automated system of function is constructed in such a sufficiently complex way, that an algorithm can always ‘decide’ a binary, yes or no answer to a mathematical problem, when given an arbitrary input, in a sufficient amount of time. It does not require ingenuity, intuition or heuristic gambles, just a combination of simple consistent formal rules and a careful avoidance of contradiction.

The two key words there are ‘always’ and ‘decide’. The progressive end-game of twentieth century mathematicians who, like Hilbert, sought after a simple totalising conceptual system to decide every mathematical problem and work towards absolute knowledge. All Turing had to do was make explicit Hilbert’s implicit computational treatment of formal rules, manipulate symbol strings and automate them using an ’effective’ or “systematic method” (Turing, Solvable and Unsolvable Problems 584) encoded into a machine. This is what Turing’s thesis meant (discovered independently to Alonzo Church’s equivalent thesis (Church)): any systematic algorithm solved by a mathematical theorem can be computed by a Turing machine (Turing, An Application), or in Robin Gandy’s words, “[e]very effectively calculable function is a computable function” (Gandy).

Thus effective procedures decide problems, and they resolve puzzles providing winning positions (like theorems) in the game of functional rules and formal symbols. In Turing’s words, “a systematic procedure is just a puzzle in which there is never more than one possible move in any of the positions which arise and in which some significance is attached to the final result” (Turing, Solvable and Unsolvable Problems 590). The significance, or the winning position, becomes the crux of the matter for the decision: what puzzles or problems are to be decided? This is what formalism attempted to do: encode everything through the regime of formalised efficiency, so that all of mathematically inefficient problems are, in principle, ready to be solved. Programs are simply proofs: if it could be demonstrated mathematically, it could be automated.

In 1936, Turing had showed some complex mathematical concepts of effective procedures could simulate the functional decisions of all the other effective procedures (such as the Universal Turing Machine). Ten years later, Turing and John von Neumann would independently show how physical general purpose computers, offered the same thing and from that moment on, efficient digital decisions manifested themselves in the cultural application of physical materials. Before Shannon’s information theory offered the precision of transmitting information, Hilbert and Turing developed the structure of its transmission in the underlying regime of formal decision.

Yet, there was also a non-computational importance here, for Turing was also fascinated by what decisions couldn’t compute. His thesis was quite precise, so as to elucidate that if no mathematical problem could be proved, a computer was not of any use. In fact, the entire focus of his 1936 paper, often neglected by Silicon Valley cohorts, was to show that Hilbert’s particular decision problem could not be solved. Unlike Hilbert, Turing was not interested in using computation to solve every problem, but as a curious endeavour for surprising intuitive behaviour. The most important of all, Turing’s halting, or printing problem was influential, precisely as it was undecidable; a decision problem which couldn’t be decided.

We can all picture the halting problem, even obliquely. Picture the frustrated programmer or mathematician starting at their screen, waiting to know when an algorithm will either halt and spit out a result, or provide no answer. The computer itself has already determined the answer for us, the programmer just has to know when to give up. But this is a myth, inherited with a bias towards human knowledge, and a demented understanding of machines as infinite calculating engines, rather than concrete entities of decision. For reasons that escape word space, Turing didn’t understand the halting problem in this way: instead he understood it as a contradictory example of computational decisions failing to decide on each other, on the account that there could never be one totalising decision or effective procedure. There is no guaranteed effective procedure to decide on all the others, and any attempt to build one (or invest in a view which might help build one), either has too much investment in absolute formal reason, or it ends up with ineffective procedures.

Undecidable computation might be looked at as a dystopian counterpart against the efficiency of Shannon’s ‘digital information’ theory. A base 2 binary system of information resembling one of two possible states, whereby a system can communicate with one digit, only in virtue of the fact that there is one other digit alternative to it. Yet the perfect transmission of that information, is only subject to a system which can ‘decide’ on the digits in question, and establish a proof to calculate a success rate. If there is no mathematical proof to decide a problem, then transmitting information becomes problematic for establishing a solution.

3.

What has become clear is that our world is no longer simply accountable to human decision alone. Decisions are no longer limited to the borders of human decisions and ‘culture’ is no longer simply guided by a collective whole of social human decisions. Nor is it reducible to one harmonious ‘natural’ collective decision which prompts and pre-empts everything else. Instead we seem to exist in an ecology of decisions: or better yet decisional ecologies. Before there was ever the networked protocol (Galloway), there was the computational decision. Decision ecologies are already set up before we enter the world, implicitly coterminous with our lives: explicitly determining a quantified or bureaucratic landscape upon which an individual has limited manoeuvrability.

Decisions are not just digital, they are continuous as computers can be: yet decisions are at their most efficient when digitally transferred. Decisions are everywhere and in everything. Look around. We are constantly told by governments and states that are they making tough decisions in the face of austerity. CEOs and Directors make tough decisions for the future of their companies and ‘great’ leaders are revered for being ‘great decisive leaders’: not just making decisions quickly and effectively, but also settling issues and producing definite results.

Even the word ‘decide’, comes from the Latin origin of ‘decidere’, which means to determine something and ‘to cut off.’ Algorithms in financial trading know not of value, but of decision: whether something is marked by profit or loss. Drones know not of human ambiguity, but can only decide between kill and ignore, cutting off anything in-between. Constructing a system which decides between one of two digital values, even repeatedly, means cutting off and excluding all other possible variables, leaving a final result at the end of the encoded message. Making a decision, or building a system to decide a particular ideal or judgement must force other alternatives outside of it. Decisions are always-already embedded into the framework of digital action, always already deciding what is to be done, how it can be done or what is threatening to be done. It would make little sense to suggest that these entities ‘make decisions’ or ‘have decisions’, it would be better to say that they are decisions and ecologies are constitutively constructed by them.

The importance of neo-liberal digital transmissions are not that they become innovative, or worthy of a zeitgeist break: but that they demonstrably decide problems whose predominant significance is beneficial for self-individual efficiency and accumulation of capital. Digital efficiency is simply about the expansion of automating decisions and what sort of formalised significances must be propagated to solve social and economic problems, which creates new problems in a vicious circle.

The question can no longer simply be ‘who decides’, but now, ‘what decides?’ Is it the cafe menu board, the dinner party etiquette, the NASDAQ share price, Google Pagerank, railway network delays, unmanned combat drones, the newspaper crossword, the javascript regular expression or the differential calculus? It’s not quite right to say that algorithms rule the world, whether in algo-trading or in data capture, but the uncomfortable realisation that real entities are built to determine provable outcomes time and time again: most notably ones for cumulating profit and extracting revenue from multiple resources.

One pertinent example: consider George Dantzig’s simplex algorithm: this effective procedure (whose origins began in multidimensional geometry) can always decide solutions for large scale optimisation problems which continually affect multi-national corporations. The simplex algorithm’s proliferation and effectiveness has been critical since its first commercial application in 1952, when Abraham Charnes and William Cooper used it to decide how best to optimally blend four different petroleum products at the Gulf Oil Company (Elwes 35; Gass & Assad 79). Since then the simplex algorithm has had years of successful commercial use, deciding almost everything from bus timetables and work shift patterns to trade shares and Amazon warehouse configurations. According to the optimisation specialist Jacek Gondzio, the simplex algorithm runs at “tens, probably hundreds of thousands of calls every minute” (35), always deciding the most efficient method of extracting optimisation.

In contemporary times, nearly all decision ecologies work in this way, accompanying and facilitating neo-liberal methods of self-regulation and processing all resources through a standardised efficiency: from bureaucratic methods of formal standardisation, banal forms ready to be analysed one central system, to big-data initiatives and simple procedural methods of measurement and calculation. The technique of decision is a propagative method of embedding knowledge, optimisation and standardisation techniques in order to solve problems and an urge to solve the most unsolvable ones, including us.

Google do not build into their services an option to pay for the privilege of protecting privacy: the entire point of providing a free service which purports to improve daily life, is that it primarily benefits the interests of shareholders and extend commercial agendas. James Grimmelmann gave a heavily detailed exposition on Google’s own ‘net neutrality’ algorithms and how biased they happen to be. In short, PageRank does not simply decide relevant results, it decides visitor numbers and he concluded on this note.

With disturbing frequency, though, websites are not users’ friends. Sometimes they are, but often, the websites want visitors, and will be willing to do what it takes to grab them (Grimmelmann 458).

If the post-digital stands for the self-criticality of digitalisation already underpinning contemporary regimes of digital consumption and production, then its saliency lies in understanding the logic of decision inherent to such regimes. The reality of the post-digital, shows that machines remain curiously efficient whether we relish in cynicism or not. Such regimes of standardisation and determined results, were already ‘mistakenly built in’ to the theories which developed digital methods and means, irrespective of what computers can or cannot compute.

4.

Why then should such post-digital actors be understood as instantiations of propaganda? The familiarity of propaganda is manifestly evident in religious and political acts of ideological persuasion: brainwashing, war activity, political spin, mind control techniques, subliminal messages, political campaigns, cartoons, belief indoctrination, media bias, advertising or news reports. A definition of propaganda might follow from all of these examples: namely, the systematic social indoctrination of biased information that persuades the masses to take action on something which is neither beneficial to them, nor in their best interests: or as Peter Kenez writes, propaganda is “the attempt to transmit social and political values in the hope of affecting people’s thinking, emotions, and thereby behaviour” (Kenez 4) Following Stanley B. Cunningham’s watered down definition, propaganda might also denote a helpful and pragmatic “shorthand statement about the quality of information transmitted and received in the twentieth century” (Cunningham 3).

But propaganda isn’t as clear as this general definition makes out: in fact what makes propaganda studies such a provoking topic is that nearly every scholar agrees that no stable definition exists. Propaganda moves beyond simple ‘manipulation’ and ‘lies’ or derogatory, jingoistic representation of an unsubtle mood – propaganda is as much about the paradox of constructing truth, and the irrational spread of emotional pleas, as well as endorsing rational reason. As the master propagandist William J. Daugherty wrote;

It is a complete delusion to think of the brilliant propagandist as being a professional liar. The brilliant propagandist […] tells the truth, or that selection of the truth which is requisite for his purpose, and tells it in such a way that the recipient does not think that he is receiving any propaganda…. (Daugherty 39).

Propaganda, like ideology works by being inherently implicit and social. In the same way that post-ideology apologists ignore their symptom, propaganda is also ignored. It isn’t to be taken as a shadowy fringe activity, blown apart by the democratising fairy-dust of ‘the Internet’. As many others have noted, the purported ‘decentralising’ power of online networks, offer new methods for propagative techniques, or ‘spinternet’ strategies, evident in China (Brady). Iran’s recent investment into video game technology only makes sense, only when you discover that 70% of Iran’s population are under 30 years of age, underscoring a suitable contemporary method of dissemination. Similarly in 2011, the New York City video game developer Kuma Games was mired in controversy when it was discovered that an alleged CIA agent, Amir Mirza Hekmati, had been recruited to make an episodic video game series intending to “change the public opinion’s mindset in the Middle East.” (Tehran Times). The game in question, Kuma\War (2006 – 2011) was a free-to-play First-Person Shooter series, delivered in episodic chunks, the format of which attempted to simulate biased re-enactments of real-life conflicts, shortly after they reached public consciousness.

Despite his unremarkable leanings towards Christian realism, Jacques Ellul famously updated propaganda’s definition as the end product of what he previously lamented as ‘technique’. Instead of viewing propaganda as a highly organised systematic strategy for extending the ideologues of peaceful warfare, he understood it as a general social phenomenon in contemporary society.

Ellul outlined two types: political and sociological propaganda: Political propaganda involves government, administrative techniques which intend to directly change the political beliefs of an intended audience. By contrast, sociological propaganda is the implicit unification of involuntary public behaviour which creates images, aesthetics, problems, stereotypes, the purpose of which aren’t explicitly direct, nor overtly militaristic. Ellul argues that sociological propaganda exists; “in advertising, in the movies (commercial and non-political films), in technology in general, in education, in the Reader’s Digest; and in social service, case work, and settlement houses” (Ellul 64). It is linked to what Ellul called “pre” or “sub-propaganda”: that is, an imperceptible persuasion, silently operating within ones “style of life” or permissible attitude (63). Faintly echoing Louis Althusser’s Ideological State Apparatuses (Althusser 182) nearly ten years prior, Ellul defines it as “the penetration of an ideology by means of its sociological context.” (63) Sociological propaganda is inadequate for decisive action, paving the way for political propaganda – its strengthened explicit cousin – once the former’s implicitness needs to be transformed into the latter’s explicitness.

In a post-digital world, such implicitness no longer gathers wartime spirits, but instead propagates a neo-liberal way of life that is individualistic, wealth driven and opinionated. Ellul’s most powerful assertion is that ‘facts’ and ‘education’ are part and parcel of the sociological propagative effect: nearly everyone faces a compelling need to be opinionated and we are all capable of judging for ourselves what decisions should be made, without at first considering the implicit landscape from which these judgements take place. One can only think of the implicit digital landscape of Twitter: the archetype for self-promotion and snippets of opinions and arguments – all taking place within Ellul’s sub-propaganda of data collection and concealment. Such methods, he warns, will have “solved the problem of man” (xviii).

But information is of relevance here, and propaganda is only effective within a social community when it offers the means to solve problems using the communicative purview of information:

Thus, information not only provides the basis for propaganda but gives propaganda the means to operate; for information actually generates the problems that propaganda exploits and for which it pretends to offer solutions. In fact, no propaganda can work until the moment when a set of facts has become a problem in the eyes of those who constitute public opinion (114).

In life-threatening conditions, microbes use game theory to account for neighbors’ decisions and work out their best tactics for survival. New research presented at the 243rd National Meeting & Exposition of the American Chemical Society on March 27 suggests that human cells may do the same.

Bacteria can chemically communicate with each other about factors like colony density and the activity of neighboring cells, allowing complex decision making to adapt to environmental situations.

“Bacteria in the colony communicate via chemical messages and how each bacterium performs a sophisticated decision process by using a specialized network of genes and proteins,” the researchers wrote in their abstract.

Officially, the Swiss Academy of Sciences meeting in Bern on 20 January was an overview of large-scale computer modelling in neuroscience. Unofficially, it was neuroscientists' first real chance to get answers about Markram's controversial proposal for the Human Brain Project (HBP) — an effort to build a supercomputer simulation that integrates everything known about the human brain, from the structures of ion channels in neural cell membranes up to mechanisms behind conscious decision-making.

It is possible to see Hrdy’s most recent book, Mothers and Others, as the third in a trilogy that began with The Woman That Never Evolved. It may be the most important. As she demolished, in the first, the idol of an evolved passive femininity, and in the second, the serene, always giving maternal goddess, in her third synthetic work she takes on another cultural and biological ideal: the mother who goes it alone. In our once male-dominated vision of evolution, we had the lone brave man, the hunter with his spear, and the lone enduring woman nurturing her young beneath the African sun; they made a deal, the first social contract, exchanging the services each was suited to by genetic destiny.

Hrdy has not been alone in challenging this myth. A conference and book edited by Richard Lee and Irven DeVore, although it was called Man the Hunter, showed that women brought in half or more of the food of hunter-gatherers by collecting vegetables, fruit, and nuts.3 This meant that, given the unpredictability of hunting success and the human need for plant foods, the primordial deal between the sexes was rather more complex than we thought. It also suggested that women had power in these societies; that men listened to them and decisions were made by consensus, not by male fiat as in more complex, hierarchical societies.

In an influential article in the Annual Review of Neuroscience, Joshua Gold of the University of Pennsylvania and Michael Shadlen of the University of Washington sum up experiments aimed at discovering the neural basis of decision-making. In one set of experiments, researchers attached sensors to the parts of monkeys’ brains responsible for visual pattern recognition. The monkeys were then taught to respond to a cue by choosing to look at one of two patterns. Computers reading the sensors were able to register the decision a fraction of a second before the monkeys’ eyes turned to the pattern. As the monkeys were not deliberating, but rather reacting to visual stimuli, researchers were able to plausibly claim that the computer could successfully predict the monkeys’ reaction. In other words, the computer was reading the monkeys’ minds and knew before they did what their decision would be. The implications are immediate. If researchers can in theory predict what human beings will de

Have you ever thought about whether to have a child? If so, what factors entered into your decision? Was it whether having children would be good for you, your partner and others close to the possible child, such as children you may already have, or perhaps your parents? For most people contemplating reproduction, those are the dominant questions. Some may also think about the desirability of adding to the strain that the nearly seven billion people already here are putting on our planet’s environment. But very few ask whether coming into existence is a good thing for the child itself. Most of those who consider that question probably do so because they have some reason to fear that the child’s life would be especially difficult — for example, if they have a family history of a devastating illness, physical or mental, that cannot yet be detected prenatally.

All this suggests that we think it is wrong to bring into the world a child whose prospects for a happy