1948 Unbound: Seeds Dec 1, 2017 Presentation

Sophia Roosth takes seeds as condensed biological potential not yet grown but promising efflorescence. She treats seeds as both literal and figurative forms of living latency. What is the relationship of time to temperature? Can freezing redirect biological temporalities and futurities? Could coldness synthesize and reassemble biological time?

Film: Dusan Solomun

More information: https://hkw.de/en/1948

In this lecture, “The Quick and the Dead,” Sophia Roosth asks: At what pace must life proceed in order to count as life? How do qualities such as speed, slowness, time, and temperature actually shape the ways in which we think about life as form, pattern, or process? What is the place of latency in the life sciences and allied disciplines? Roosth interrogates these questions historically and anthropologically by attending to a variety of scientific communities, among them geobiologists and micropaleontologists seeking ancient microbial life-forms fossilized in stone; polar scientists excavating organic substances frozen in Antarctic riverbeds; resurrection scientists seeking to insert ancient proteins into living cells; and researchers at the Svalbard Global Seed Vault, which stores samples of the world’s seeds for post-apocalyptic renewal.Cast: The American Academy in BerlinTags: sophia roosth, harvard university and american academy in berlin

Theory for the Anthropocene Roy Scranton, Stephanie Wakefield and McKenzie Wark

Our world is changing. Rising seas, spiking temperatures, and extreme weather imperil global infrastructure, crops, and water supplies. Our greatest enemy, it turns out, is ourselves. The warmer, wetter, more chaotic world we now live in—the Anthropocene—demands an intensive rethinking of the project of our species-being.

Might the various traditions of critical theory be a resource for thinking the Anthropocene? This is the topic that Roy Scranton, Stephanie Wakefield and McKenzie Wark attempt to broach in this event.

Author, journalist, Iraq war veteran, and Princeton Ph.D candidate, Roy Scranton's journalism, essays, and reviews have appeared in the New York Times, Rolling Stone, Boston Review, Contemporary Literature, and elsewhere. His book, Learning to Die in the Anthropocene has just been published by City Lights.

Stephanie Wakefield is co-founder of Woodbine, in Ridgewood, Queens, and a geographer at the CUNY Graduate Center. She is currently finishing a book on oysters and the 'becoming infrastructure of nature/becoming nature of infrastructure,' and teaching Urban Environmental Studies at Queens College.

McKenzie Wark is the author, most recently, of Molecular Red: Theory for the Anthropocene (Verso Books), and teaches in Liberal Studies at the New School for Social Research

This event was sponsored by Liberal Studies, The New School for Social Research

Video by Public Seminar www.publicseminar.org | @PublicSeminar

Friday, October 23, 2015 Wollman Hall, Eugene Lang College 65 West 11th Street Room B500, New York, NY 10003

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.”

The feather original evolved for regulation of temperature, but then evolved for flight. In 1942 a scientist at Raytheon was testing a magnetron, a key component of radar, and noticed that a candy bar melted in his pocket.

Sushi, of course, is the ultimate in simple food: mostly just rice and a piece of raw fish, it would seem that anyone with a knife and one functioning hand can make it. But take an impossible eye for detail and apply it to fish—Where did it come from? How long should you age it before serving for best flavor? How long should you massage it to make it tender, but still have texture? Where should you cut a piece from, and at what angle, to highlight the flavors of different parts of the muscle? Since temperature affects aroma, how warm should you let the fish get in your hand before serving it? How hard do you press the fish into the rice to form a bite that has integrity, but is not dense?—and you begin to see where a simple food is not so simple. You don’t have to buy into all the minutiae a sushi master trades in to know that the pleasures of great sushi span from the animal to the emotional and the intellectual, which is a great trick for anything to pull off

The history of science can be viewed as the recasting of phenomena that were once thought to be accidents as phenomena that can be understood in terms of fundamental causes and principles. One can add to the list of the fully explained: the hue of the sky, the orbits of planets, the angle of the wake of a boat moving through a lake, the six-sided patterns of snowflakes, the weight of a flying bustard, the temperature of boiling water, the size of raindrops, the circular shape of the sun. All these phenomena and many more, once thought to have been fixed at the beginning of time or to be the result of random events thereafter, have been explained as necessary consequences of the fundamental laws of nature—laws discovered by human beings.

Can someone explain to me in layman's terms the relation between classical entropy (heat over temperature) and statistical entropy (-k \sum p_i ln p_i)? More specifically, how do the microstate probabilities arise and how do they relate to heat and temperature?

Over the next 10 years, scientific experts will be dealing with "extreme weather." No one knows how weird and dangerous it will get.

Moscow already faces Bahrain-like temperatures. Downpours swamp a fifth of Pakistan. President Mohamed Nasheed, of the Maldives, worries enough about future sea levels to hold a cabinet meeting underwater in scuba gear. (Don't miss this on YouTube!)

Parallel thinking should apply to a phenomenon of greater concern to readers here: "extreme academe." Think of it as the hysterical upgrading of ugly visions of the future already found in polite critiques of higher ed.

Back in 2003, for instance, former Harvard President Derek Bok, in Universities in the Marketplace: The Commercialization of Higher Education (Princeton University Press), drilled home the problem capsulized in his subtitle by noting that throughout the 1980s, deans and professors brought him "one proposition after another to exchange some piece or product of Harvard for money—often, quite s

About a month ago in handling the remains of one Dr. Fred McCabe I found rich notes of contemplation on the subject of information theory. It appears that Fred could have written an entire book on the intricacies of hidden data, encoded messages and deceptive methods of transmission. Instead his notes exist in the form of a cryptic assemblage of definitions and examples, arranged into what Dr. McCabe himself labelled a series of ‘moments’.

I offer these moments alongside some of the ten thousand images Dr. McCabe amassed in a separate, but intimately linked, archive. The preface to this abridged compendium is little capable of preparing one for the disarray of material, but by introducing this text with Fred's own words it is my hope that a sense of the larger project will take root in the reader’s fertile imagination.

The Moment of the Message: A Diatribe

by Dr. Fred McCabe

More than ten thousand books on mathematics and a thousand books on philosophy exist for every one upon information. This is surprising. It must mean something.

I want to give you a message. But first. I have to decide how to deliver the message.

This is that moment.

I can write it down, or perhaps memorise it – reciting it in my head like a mantra, a prayer chanted in the Palace gardens. And later, speaking in your ear, I will repeat it to you. That is, if you want to hear it.

I could send it to you, by post, or telegram. After writing it down I will transmit it to you. Broadcasting on your frequency in the hope that you will be tuned in at the right moment. Speaking your language. Encoded and encrypted, only you will understand it.

I have a message for you and I want you to receive it. But first. I have to decide what the message is.

This is that moment:

This is the moment of the message

From the earliest days of information theory it has been appreciated that information per se is not a good measure of message value. The value of a message appears to reside not in its information (its absolutely unpredictable parts) but rather in what might be called its redundancy—parts predictable only with difficulty, things the receiver could in principle have figured out without being told, but only at considerable cost in money, time, or computation. In other words, the value of a message is the amount of work plausibly done by its originator, which its receiver is saved from having to repeat.

This is the moment my water arrived at room temperature

The term enthalpy comes from the Classical Greek prefix en-, meaning "to put into", and the verb thalpein, meaning "to heat".

For a simple system, with a constant number of particles, the difference in enthalpy is the maximum amount of thermal energy derivable from a thermodynamic process in which the pressure is held constant.

This is the moment the wafer became the body of Christ

The Roman Catholic Church got itself into a bit of a mess. Positing God as the victim of the sacrifice introduced a threshold of undecidability between the human and the divine. The simultaneous presence of two natures, which also occurs in transubstantiation, when the bread and wine become the body and blood of Christ, threatens to collapse the divine into the human; the sacred into the profane. The question of whether Christ really is man and God, of whether the wafer really is bread and body, falters between metaphysics and human politics. The Pope, for all his failings, has to decide the undecidable.

This is the moment black lost the game

A ko fight is a tactical and strategic phase that can arise in the game of go.

Some kos offer very little gain for either player. Others control the fate of large portions of the board, sometimes even the whole board, and the outcome of those kos can determine the winner of the game. For this reason, finding and using ko threats well is a very important skill.

This is the moment Robinson Crusoe becomes the first, English language novel

According to Abel Chevalley, a novel is: "a fiction in prose of a certain extent”, defining that "extent" at over 50,000 words. Some critics distinguish the novel from the romance (which has fantastic elements), the allegory (in which characters and events have political, religious or other meanings), and the picaresque (which has a loosely connected sequence of episodes). Some critics have argued that Robinson Crusoe contains elements of all three of these other forms.

This is the moment Sarah Conner takes control

A paper clip is usually a thin wire in a looped shape that takes advantage of the elasticity and strength of the materials of its construction to compress and therefore hold together two or more pieces of paper by means of torsion and friction. Some other kinds of paper clip use a two-piece clamping system.

In fiction, a paper clip often takes the place of a key as means of breaking and entering, or, in Sarah Conner’s case, as means of escape.

This is the moment they found the missing piece of DNA

In northern Spain 49,000 years ago, 11 Neanderthals were murdered. Their tooth enamel shows that each of them had gone through several periods of severe starvation, a condition their assailants probably shared. Cut marks on the bones indicate the people were butchered with stone tools. About 700 feet inside the cave, a research team excavated 1,700 bones from that cannibalistic feast. Much of what is known about Neanderthal genetics comes from those 11 individuals.

This is the moment Bill Clinton lied (to himself)

A microexpression is a brief, involuntary facial expression shown on the face according to emotions experienced. They usually occur in high-stake situations, where people have something to lose or gain. Unlike regular facial expressions, it is difficult to fake microexpressions. Microexpressions express the seven universal emotions: disgust, anger, fear, sadness, happiness, surprise, and contempt. They can occur as fast as 1/25 of a second.

This is the moment I strained my iris

Idiopathic is an adjective used primarily in medicine meaning arising spontaneously or from an obscure or unknown cause. From Greek idios (one's own) and pathos (suffering), it means approximately "a disease of its own kind."

This is the moment everything changed

In ordinary conversation, everything usually refers only to the totality of things relevant to the subject matter. When there is no expressed limitation, everything may refer to the universe or the world.

Every object and entity is a part of everything, including all physical bodies and in some cases all abstract objects. Everything is generally defined as the opposite of nothing, although an alternative view considers "nothing" a part of everything.

This is the moment of another message

In information theory the value of a message is calculated by the cost it would take to repeat or replace the work the message has done.

One might argue that a message’s usefulness is a better measure of value than its replacement cost. Usefulness is an anthropocentric concept that information theorists find difficult to conceptualise.

Drawing on philosophy and linguistics, cognitive scientists have begun to see the basic metaphors that we use all the time not just as turns of phrase, but as keys to the structure of thought. By taking these everyday metaphors as literally as possible, psychologists are upending traditional ideas of how we learn, reason, and make sense of the world around us. The result has been a torrent of research testing the links between metaphors and their physical roots, with many of the papers reading as if they were commissioned by Amelia Bedelia, the implacably literal-minded children’s book hero. Researchers have sought to determine whether the temperature of an object in someone’s hands determines how "warm” or "cold” he considers a person he meets, whether the heft of a held object affects how "weighty” people consider topics they are presented with, or whether people think of the powerful as physically more elevated than the less powerful.

For centuries, archivists have noted a curious relationship between “quantity” and “quality” of items in their collections. That is, typically a storage medium’s durability is inversely proportional to the amount of information it can hold. For instance, Sumerian scribes could perhaps only fit a dozen lines of cuneiform onto a typical clay slab, but some of their inscriptions can still be read on surviving tablets six millennia later. Even something as fragile as printed words on paper can endure for hundreds, sometimes thousands of years if properly preserved.

Modern electronic storage media like CDs, DVDs, and computer hard drives can store vastly greater amounts of information, but typically don’t last more than decades at best. Environmental disturbances like fluctuating electromagnetic fields or changing temperature and humidity can corrupt and destroy digitally stored data very quickly. Furthermore, the fast pace of technological progress quickly renders electronic media formats