Imagine we had a kind of Gaian global animist sensor grid which could essentially listen to the Earth, get a read on how it’s feeling and report back to us. Earth could send us messages in forms we could easily comprehend — is it already doing that? Aren’t sensors just extensions of our senses?
The corners of the triangle stand for three different languages which a project is likely to need, which you are likely to need as one of the people carrying a project. By distinguishing these languages and the needs that they serve, certain kinds of confusion may be avoided.
The Inward language is the way that those at the heart of a project make sense of what they are doing, the way of seeing the world that makes it possible. It may be a complex model of how things are and how they could be; it may be entirely intuitive and largely unspoken. It is a creative, living language. Over time, it comes to include the shorthand expressions and the charged words that build up among a group of people working together to bring about or sustain something that matters to them deeply.
The Upward language is the language of power and resources: the language of funding applications, the language of those who are in a position to intepret regulations and impose or remove obstacles. It is not a reflective or a curious language, it is a language of busy people who make decisions without having time to immerse themselves in the realities their decisions will affect. It is an impoverished language and when you have to describe what you are doing in its terms, you will feel that something is missing. You need a guide who is initiated into the relevant version of this language, who knows which words currently act as keys to which doors, what you have to say to have a decent chance of the gatekeepers letting you through. Yet even inside these institutions, you are dealing with human beings, so if you can allow glimpses of what matters about your project to show through the filter of keywords, it may just make a difference.
The Outward language is the language in which people who meet your project at ground level, in the course of their everyday lives, start to talk about it. It’s the language in which you can explain it to your mum, or to someone you just met in the pub, and realise that they get it — not that they have understood everything about what you’re doing, but that something here makes sense and sounds good. This is not about how your project works, it’s about what it does. In the corporate world, money is spent on people who are good at spinning words to create an Outward language for a product or a service or an organisation — much of advertising and public relations is about this — but the results usually have a synthetic aftertaste. You may get advice to try to imitate these publicity processes, but this is probably best ignored.
This looks like a useful tool: TimelineCurator builds visual timelines from free text -
Ketamine, secular Buddhism, and the rubber band effect. #ExpandingMind talks to MAPS researcher Dr. Phil Wolfson:
Eating for Change: Transforming the Next Decade Through Food, our 2017 #FoodFutures Lab’s research agenda
A citizen scientist just created this host/parasite co-evolution music
‘Technology … does nothing to reduce the emptiness left behind in the wake of nihilism.’ – Michael #Hauskeller…
A huge moment in world history. Solar is now the cheapest form of energy in poor countries–half the cost of coal.…
Today’s ALPHA result is the first observation of a spectral line in an antihydrogen atom, allowing the light spectrum of matter and antimatter to be compared for the first time. Within experimental limits, the result shows no difference compared to the equivalent spectral line in hydrogen. This is consistent with the Standard Model of particle physics, the theory that best describes particles and the forces at work between them, which predicts that hydrogen and antihydrogen should have identical spectroscopic characteristics. ALPHA is a unique experiment at CERN’s Antiproton Decelerator facility, able to produce antihydrogen atoms and hold them in a specially-designed magnetic trap, manipulating antiatoms a few at a time. Trapping antihydrogen atoms allows them to be studied using lasers or other radiation sources.
Brussels is a city for those who have patience, time and imagination. It is for those who question the increasingly frenetic pace of urban life and work. It is for those who appreciate understatement and refuse homogenising labels and manufactured “hip” concepts. Perhaps, however, what keeps Brussels attractive is its latent sense of expectancy, the promise of a perpetual becoming which is never fulfilled.
The destruction after the tsunami in Japan
Until a few years ago, machine learning algorithms simply did not work very well on many meaningful tasks like recognizing objects or translation. Thus, when a machine learning algorithm failed to do the right thing, this was the rule, rather than the exception. Today, machine learning algorithms have advanced to the next stage of development: when presented with naturally occurring inputs, they can outperform humans. Machine learning has not yet reached true human-level performance, because when confronted by even a trivial adversary, most machine learning algorithms fail dramatically. In other words, we have reached the point where machine learning works, but may easily be broken.
A modern data scientist often has to work on multiple platforms with multiple languages. Some projects may be in R, others in Python. Or perhaps you have to work on a cluster with no gui. Or maybe you need to write papers with latex. You can do all that with Emacs and customize it to do whatever you like. I won’t lie though. The learning curve can be steep, but I think the investment is worth it.
So, how do we think beyond the maps with their static regions (being)? A hook Deleuze uses in The Logic of Sense is to get us thinking of verbs as primary. Verbs are often seen as less substantial than nouns, or adjectives, because their mapping is more chaotic (if you’ve studied a foreign language you will know this oh-so-well). He transforms the proposition “The tree is green” to “The tree greens”. He argues that greening is more fundamental than green (referring to an unfurling event from which we derive the static theme “green”), and that making this shift makes certain metaphysical problems about objects and their properties become less problematic. By A Thousand Plateaus we’ve gotten to “a-treeing greens”. That is, we are turning static “beings” (regions on the map with their properties allocated by definitions that demarcate their edge points), to “becomings” “doings”, “transpirings”, the molecules squiggly shifting under the molar territories on the map.
Tessina Camera Concealed in Cigarette Pack by The Central Intelligence Agency (via http://flic.kr/p/bXobJB )
Ten-Point Divider by The Central Intelligence Agency (via http://flic.kr/p/N5FEfa )
Populism could most alter innovation when it comes to the executive and administrative state—which, in the United States, it just came to control. Stretching back to the Clinton years, there has been a carefully choreographed interplay between pro-Silicon Valley administrations, emerging tech behemoths, and new billionaires. That relationship has now been disrupted. The attention, budget, and expertise that was directed at a light-touch management of innovation—creating conditions for the market itself to make “the new”—will now likely be tied up in re-paving the old.
Where does that leave us? The outcome of this redirection may be a near-future for the West that essentially re-entrenches crony capitalism, where big construction projects replace Big Data as an engine for exacerbating inequality. Will Elon Musk let SpaceX’s serve as a military enabler in low-Earth orbit in order to keep Tesla going? Do Amazon, Google, and Apple join Thiel’s Palantir in providing explicit products for the Department of Homeland Security? Or do the tech oligarchs gang together to provide their own counter-infrastructure? If so, whom do they serve?
Architecture of Density #39, 2005 / Chromogenic colour print
Mathematical notation provides perhaps the best-known and best-developed example of language used consciously as a tool of thought. Recognition of the important role of notation in mathematics is clear from the quotations from mathematicians given in Cajori’s A History of Mathematical Notations [2, pp.332,331]. Nevertheless, mathematical notation has serious deficiencies. In particular, it lacks universality, and must be interpreted differently according to the topic, according to the author, and even according to the immediate context. Programming languages, because they were designed for the purpose of directing computers, offer important advantages as tools of thought. Not only are they universal (general-purpose), but they are also executable and unambiguous. Executability makes it possible to use computers to perform extensive experiments on ideas expressed in a programming language, and the lack of ambiguity makes possible precise thought experiments. In other respects, however, most programming languages are decidedly inferior to mathematical notation and are little used as tools of thought in ways that would be considered significant by, say, an applied mathematician.
A rail company with a small-scale, experimental approach like this is possible thanks to German rail reforms in the 1990s that separated rail transit companies, who run train services, from railway infrastructure companies, who own rails. This has opened up Germany’s market to some competition between smaller companies such as Transdev and Deutsche Bahn, though the latter still dominates. The relationship between Locomore and DB is close but somewhat uneasy. Deutsche Bahn will not sell Locomore tickets from station ticket booths, making them available only online. What’s more, the project was apparently too unusual-sounding for most conventional investors, so Locomore has relied on crowdfunding to get its start-up capital. So far over €640,000 has been raised, and the amount is still rising. This alone sounds like a rather low investment threshold to start a new train line, but a Locomore representative wasn’t available to comment on what this sum covers and whether other funding sources are being used. (We’ll update when we learn more.) Germany is nonetheless going through an interesting period of small-scale rail innovation that’s worth paying attention to. Locomore’s current service is just the first of three more planned for 2018, to Cologne, Munich, and the Baltic vacation island of Rügen. Meanwhile the world’s first ever hydrogen-powered passenger train is coming this month. It also won’t replace Germany’s currently dominant model, but provides a small-scale and invaluable alternative.
Marble and Rose -03 by 7erence (via http://flic.kr/p/QhLwJn )
Marble and Rose -02 by 7erence (via http://flic.kr/p/Q7yMEz )
Marble and Rose -01 by 7erence (via http://flic.kr/p/PHRVhw )
NASA has just released new aerial photographs that show, close-up, an immense, 70-mile long rift in the Larsen C ice shelf in Antarctica. The breach is 300 feet wide and one-third of a mile deep. As it grows, an iceberg the size of Delaware will break off.
When the dark of the Southern Hemisphere winter lifted in August, scientists were shocked to see that the rift in the ice had grown nearly 14 miles. “The growth of this rift likely indicates that the portion of the ice shelf downstream of the rift is no longer holding back any grounded ice,” said Joe MacGregor, IceBridge deputy project scientist and glaciologist at NASA Goddard Space Flight Center.
Ice shelves ride on water and are fed by glaciers and continental ice streams. Cracks and calving are normal, and the loss of a portion of an ice shelf will not contribute to sea level rise as it is already afloat on the ocean. However, an ice shelf such as Larsen C holds back land ice, acting as a buttress. When a shelf disintegrates, the glaciers behind it can flow out to sea, which will directly increase sea level.
Long-term satellite observations show that Antarctic glaciers are rapidly retreating. In West Antarctica, they are losing 23 feet of elevation per year. As they slip away, they add up to 150 billion tons of water to the ocean, raising seas by about a tenth of an inch annually.
In November, Antarctic air temperatures were 3.6 - 7.2 degrees Fahrenheit warmer than normal. Antarctic sea ice set a new record low, as did the Arctic. Antarctic sea ice was a staggering 699,000 square miles below the 1981 to 2010 average. “Antarctic sea ice really went down the rabbit hole this time,” said Ted Scambos, the lead scientist at the National Snow and Ice Data Center. The West Antarctic Ice Sheet could collapse entirely within the next 100 years.
‘Either we have no dreams or our dreams are interesting.We should…arrange our waking life the same way:nothing or…
A look from the balcony on the exposition floor at the Grand Palais (Paris) in 1913. Eyecatcher is the unconventional Nieuport-Dunne tailless biplane [France, 1913] by Kees Kort Collection (via http://flic.kr/p/QcR89B )
by 美撒郭 (via http://flic.kr/p/Q9PYjJ )
by 美撒郭 (via http://flic.kr/p/Q9Q1J3 )
Almost the same as stereo glass plate No.13765. Was probably a ‘safety’ picture of the photographer [France, 1913] by Kees Kort Collection (via http://flic.kr/p/Qd69oH )
Worpswede Winterwald # 5 by bruXella & bruXellius (via http://flic.kr/p/Q5ZpzV )
[ - 1213 geminids 1, 2, 3 - ] by Mr. TRONA (via http://flic.kr/p/PGjvbd )
A global map of the ecological value of roadless areas. The index values indicated in blue highlight areas that are especially large and well connected and/or notably rich in biodiversity. The red areas are completely roaded: covered by roads and 1km buffers alongside either sides of the road. Photograph: P Ibisch et al/Science
Rampant road building has shattered the Earth’s land into 600,000 fragments, most of which are too tiny to support significant wildlife, a new study has revealed.
The researchers warn roadless areas are disappearing and that urgent action is needed to protect these last wildernesses, which help provide vital natural services to humanity such as clean water and air.
The impact of roads extends far beyond the roads themselves, the scientists said, by enabling forest destruction, pollution, the splintering of animal populations and the introduction of deadly pests. New roads also pave the way to further exploitation by humans, such as poaching or mining, and new infrastructure.
An international team of researchers analysed open-access maps of 36m km of road and found that over half of the 600,000 fragments of land in between roads are very small – less than 1km2.
A mere 7% are bigger than 100km2, equivalent to a square area just 10km by 10km. Furthermore, only a third of the roadless areas were truly wild, with the rest affected by farming or people.
The last remaining large roadless areas are rainforests in the Amazon and Indonesia and the tundra and forests in the north of Russia and Canada. Virtually all of western Europe, the eastern US and Japan have no areas at all that are unaffected by roads. The scientists considered that land up to a kilometre on each side of a road was affected, which they believe is a conservative estimate.
Cornelius Norbertus Gijsbrechts - Trompe l'oeil (Board Partition with Letter Rack and Music Book) (1668)
Article by Riva-Melissa Tez lays out the issues of hype with Artificial Intelligence and startups, and includes an account of how a fake startup business became a meme:
… The M&A market for AI in 2015 saw 33 acquisitions, of which the average team size was seven. It’s now common for savvy AI researchers to create a company purely to be acquired, knowing that the right buzzwords will attract VCs, and that eventually a corporation will pay for the team. Top machine learning researchers have become the most coveted of all the Pokémon. The tech press celebrates companies with no product, contributing no novel technology, at over-inflated valuations …
… Turns out anyone can make a multi-million dollar company in 30 minutes … in a spanish mansion found on AirBnB and a website editor. ‘Temporally Recurrent Optimal Learning’ is a combination of buzzwords we put together to spell out TROL(L) that were conjured up over breakfast. If we hadn’t put significant effort into making sure people realized it was a joke, Rocket AI would be in the press right now.
The National Aeronautics and Space Administration (NASA), the U.S. space agency, has released an “eye-popping” three-dimensional animation showing carbon dioxide emissions moving through the Earth’s atmosphere over the course of a year.
It says the 3-D visualization is “one of the most realistic views yet” of the “complex patterns in which carbon dioxide in the atmosphere increases, decreases and moves around the globe.”
The data used to produce the visualization was collected by NASA’s Orbiting Carbon Observatory-2 (OCO-2) satellite from September 2014 to September 2015. The data was then modeled and visualized by the Global Modeling and Assimilation Office at NASA’s Goddard Space Flight Center in Greenbelt, Maryland.
Carbon Brief: Specifically, what questions are you hoping it will help to answer?
Dr. Lesley E. Ott [a carbon cycle scientist at Goddard’s Global Modeling and Assimilation Office]: The main goal of OCO-2 and most carbon cycle modeling is to better understand the processes that control carbon sources and sinks. About 50 percent of human emissions are absorbed by plants on land and in the oceans, but scientists don’t have a good understanding of how or even where this is happening. We start by running the model with a ‘first guess’ of sources and sinks, and the data assimilation allows us to quantify how and where the model differs from the observations. Eventually, we’ll be able to use these techniques to create more accurate maps of source and sinks, and from there we can improve climate models to better predict changes in the natural carbon cycle. This analysis product is something of a mid-point. We still have a lot of work left to do to understand the carbon cycle more fully, but developing these modeling and data assimilation tools is an important advance that will help us get where we need to be.
☾ by EmilyJHansell (via http://flic.kr/p/NPkNBJ )
Huginn and Muninn by Natan Vance (via http://flic.kr/p/Q8vPcN )
Device for Distilling Lunar Humidity, Sigismund Bacstrom, 1797. Frontispiece of Johann Friedrich Fleischer, “Chemical Moonshine,” 1797. 950053
Another uh-oh fact emerging, this time from historical records versus climate models projecting into the future.
We watch those science shows on TV or read about the giant drills that poke deep beneath the surface of the earth and haul up tubes of ice and rocks and soil. From those samples, we learn. This is one of those learning moments: the rocks hauled up show that they weren’t covered in ice during previous warming periods.
Scientists found that Greenland rocks now buried under 10,000 feet of ice were ice-free for long stretches during the past 1.4 million years, leading them to predict the Greenland Ice Sheet could melt more suddenly than previously believed.
That could raise global sea level far beyond current projections over the next few centuries, including recent estimates from the Intergovernmental Panel on Climate Change, according to a new study published Wednesday in the journal Nature. The research challenges the prevailing idea that the ice sheet remained relatively intact during the recent geological past, showing even the thickest ice had vanished during warm periods between ice ages.
Columbia University paleoclimatologist Joerg Schaefer, who co-authored the study, said the findings show the Greenland Ice Sheet may be much less stable than scientists thought.
“Over the last 15 years, it looked like we wouldn’t have to worry too much about the Greenland ice sheet melting too fast,” Schaefer said. “Most of the climate models treated it as a solid ice cube sitting on bedrock. With climate warming, it melts off the top, but it takes a long time. Compared to other ice sheets like West Antarctica, is looked pretty strong and resilient to warming.”
New, direct samples of the bedrock pierced that belief.
If the ice sheet had persisted across most of Greenland during those warm periods, there was hope that it could stay mostly intact despite the Earth’s thickening blanket of greenhouse gases. The new study suggests that, because it mostly melted, there’s little doubt the planet’s warming trajectory will melt the Greenland Ice Sheet in the centuries ahead.
Witness by Hengki Koentjoro (via http://flic.kr/p/NRq9Cz )
As we pass the tipping point toward a world fast enough and interconnected enough to be dominated by emergent systems, our methods of making decisions, and the tools available to help us make them, are changing. Here are some rules of thumb and useful modes of understanding for managing ourselves and others in The Emergent Era.
- Organize around information flows; ditch hierarchy and bureaucracy.
- Empower individuals.
- Replace long lists of rules with a good M.O.
- Get Used to Living in the “In Between.”
- Open up new feedback loops
- Tap into the power of minds and machines.
no.962 by lee jin woo (Republic of Korea) (via http://flic.kr/p/NVZir4 )
by (x)99. (via http://flic.kr/p/NQKhtx )
NYC. by (x)99. (via http://flic.kr/p/Q5gPa8 )
zarzonia by scampagni (via http://flic.kr/p/PSLzzn )
From The Gregorian
Greenland by MMPFilms
“We humans are structurally made of contradictions, living peacefully, sometimes painfully…”
John Glenn’s Mercury Suit
Image credit:Dan Winters
Weirding, as a phenomenon, does not respect the boundaries of your emotional and intellectual mental models and maps. You may not think actual dead moths have a role to play in the functioning of computers, but reality decided otherwise in at least one case. To work, troubleshooting too should not not respect the boundaries of mental models. There is always a non-zero probability that a true understanding of your weird situation will involve dead moths. If your ways of thinking and feeling behaviors cannot deal with that possibility, they are fundamentally fragile.
In 1959, as the director of a secret military computer research centre, Kitov turned his attention to devoting ‘unlimited quantities of reliable calculating processing power’ to better planning the national economy, which was the most persistent information-coordination problem besetting the Soviet socialist project. (It was discovered in 1962, for example, that a handmade calculation error in the 1959 census goofed the population prediction by 4 million people.) Kitov wrote his thoughts down in the ‘Red Book letter’, which he sent to Khrushchev. He proposed allowing ‘civilian organisations’ to use functioning military computer ‘complexes’ for economic planning in the nighttime hours, when most military men were sleeping. Here, he thought, economic planners could harness the military’s computational surplus to adjust for census problems in real-time, tweaking the economic plan nightly if needed. He named his military-civilian national computer network the Economic Automated Management System.
by Kaometet (via http://flic.kr/p/PVd3No )
Trees are like humans in many ways, but they do not age like us or die as we do:
Fake US embassy operated in Ghana for a decade
Git versioning and diff visualizing tools for designers (video recording from #LGM16) #Git #Design #Webdiff
The evolution of emoji is impressive and fascinating, but it makes for an uncomfortable contrast when other pictorial writing systems – the most commonly-used writing systems on the planet – are on the chopping block. We have an unambiguous, cross-platform way to represent “PILE OF POO” (💩), while we’re still debating which of the 1.2 billion native Chinese speakers deserve to spell their own names correctly.
by (x)99. (via http://flic.kr/p/PRFMkB )
by Reuben Wu (via http://flic.kr/p/PFCcim )
A few weeks ago, I was trying to call Cuba. I got an error message—which, okay, international telephone codes are long and my fingers are clumsy—but the phone oddly started dialing again before I could hang up. A voice answered. It had a British accent and it was reading: “…the moon was shining brightly. The Martians had taken away the excavating-machine…” Apparently, I had somehow called into an audiobook of The War of the Worlds. Suspicious of my clumsy fingers, I double-checked the number. It was correct (weird), but I tried the number again, figuring that at worst, I’d learn what happened after the Martians took away the excavating machine. This time, I got the initial error message and the call disconnected. No Martians.
“Octopus in the parking garage” is the new“canary in the coalmine”
–Scott Smith, Changeist
“A story should have a beginning, a middle, and an end… but not necessarily in that order.”
Anthropology Today SI on capitalism and magic: (🔓)
Mogamma: Part 1, 2012
Ink and acrylic on canvas
“People that say facts are facts. They’re not really facts.There’s no such thing, unfortunately, anymore as facts.”
“The Reef 2050 Plan was released by the Australian and Queensland governments in March 2015 and is the overarching framework for protecting and managing the Reef until 2050. The Plan is a world-first document that outlines concrete management measures for the next 35 years to ensure the Outstanding Universal Value of the Reef is preserved now and for generations to come.”
For sound complexity, one language stands out. !Xóõ, spoken by just a few thousand, mostly in Botswana, has a blistering array of unusual sounds. Its vowels include plain, pharyngealised, strident and breathy, and they carry four tones. It has five basic clicks and 17 accompanying ones. The leading expert on the !Xóõ, Tony Traill, developed a lump on his larynx from learning to make their sounds. Further research showed that adult !Xóõ-speakers had the same lump (children had not developed it yet).
Tuyuca, of the eastern Amazon has a sound system with simple consonants and a few nasal vowels, so is not as hard to speak as Ubykh or !Xóõ. Like Turkish, it is heavily agglutinating, so that one word, hóabãsiriga means “I do not know how to write.” Like Kwaio, it has two words for “we”, inclusive and exclusive. The noun classes (genders) in Tuyuca’s language family (including close relatives) have been estimated at between 50 and 140. Some are rare, such as “bark that does not cling closely to a tree”, which can be extended to things such as baggy trousers, or wet plywood that has begun to peel apart.
Most fascinating is a feature that would make any journalist tremble. Tuyuca requires verb-endings on statements to show how the speaker knows something. Diga ape-wi means that “the boy played soccer (I know because I saw him)”, while diga ape-hiyi means “the boy played soccer (I assume)”. English can provide such information, but for Tuyuca that is an obligatory ending on the verb. Evidential languages force speakers to think hard about how they learned what they say they know.
We at Changeist, along with a few associates, set up the Thingclash project about 18 months ago now, with the intention of starting a conversation around human values in the Internet of Things (IoT), and to provide tools to help make that conversation easier, more expansive, and more inclusive. We’d like to think we helped drive some of the public critical discussion around the IoT that is now happening more in the mainstream than it was two years ago. With a toolkit finally in place, we have run workshops at various scales, and focused on various specialist topics, over the past year or more. Now, to mark the return of Thingscon NL in Amsterdam, where we ran our first public workshop, we’re compiling the array of cards and exercises together to release as a single Creative Commons-licensed set of materials, available for download.
Abandoned Poetic Resonance by bibire.deviantart.com (via http://flic.kr/p/Fd6ko8 )
Tournestantza Colopteareo Uluitaa by bibire.deviantart.com (via http://flic.kr/p/FR4q4v )
“Its form doesn’t matter: no form manages to circumscribe and alter it. Mirror is light. A tiny piece of mirror is always the whole mirror.”
–Clarice Lispector, Agua Viva
by ETWKWWTWK (via http://flic.kr/p/PzYTzi )
The Democratic state is full stack challenge and cannot be reduced to the vote – a functioning democracy requires the democratising capital, knowledge and freedoms (agency) – making functional markets – all topped off the vote. It is why we historically built banks for the poor, schools and libraries prior to the emancipation of the vote.