Thursday, 19 November 2015

docomo or the queen’s english

As is my wont, I must have glossed over this rather disturbing announcement and I truly appreciate Bob Canada for reviving this discussion—thinking that the Word of the Year as nominated and elevated by the venerable institution of Oxford University Press was “emoji,” which I thought to be pedantically behind the times, and not an emoji.
Albeit their flagship OED aims to capture language as it is actually used and not prescribe how it ought to be—despite the authority that it enjoys, I am not sure what to make our language and lexicon when “Face with Tears of Joy”—which sounds like a title museum curators would give to distinguish a work with no name, is celebrated. What do you think? I certainly use the glyphs for punctuation, I guess at the expense of full-stops, but in general not for a whole thought. Maybe Oxford’s contender was chosen too because of the ambiguity that can be substituted and encoded and be assigned different signals and meanings—like the suggestive eggplant or nail-polish representing some hollow accomplishment or indifference or the agony of being pepper-sprayed here pictured.

5x5

eddie are you okay: catchy barrel-organ version of Smooth Criminal 

lol: ukiyo artists from Edo-era Japan also liked animal memes

planchette: a Ouija board furniture ensemble 

d³ฦฉx²: dedicated Whovian reveals the Doctor’s true name

octave: gallery of very large musical instruments

Wednesday, 18 November 2015

the bees’ knees or honeycomb hideout

As if humans weren’t already enough of a plague for the bees and their business, I learnt recently of a newly discovered component that might tease out a bit more about why bees as a real ecological keystone are vanishing and well as the wildlife they support.
Although diesel emissions are very much a contentious subject right now, it would serve one well to realise despite the increase in traffic and that our driving is leaving a much bigger footprint than we’ve been led to believe, three decades ago, the situation was far more dire with trees growing along the Autobahn covered in black soot and at least know, slowly, we are paying greater attention to the important things, diesel—specifically the nitrous oxide (NOx) which probably isn’t good for any living thing in any amount—has a measurable cognitive detriment for the pollinators. Vehicle exhaust affects the subtle aromatic chemistry of the flowers that bees seek and even a tiny change in the scent environment means that bees can’t form a mental map of the desired nectar and can’t communicate with their interpretive dance to others in the hive. Possibly this signals interference does not spread far from the shoulder of the road and may not be the chief pathogen working against the colonies (as there are several other candidates—habitat loss, pesticides, genetically modified crops, electrosmog from cellular masts, etc.), this is yet another reason to clean up our obsession with fossil fuels and the internal combustion engine, which seems quite antiquated and steam-punk no matter how it’s packaged.

Tuesday, 17 November 2015

la solidaritรฉ

Just down the street, the Henkell Fabrik is also illuminated with the Tricolore. Visible from the Autobahn as well, it is a very fine gesture on behalf of this storied institution, purveyors of German sparkling wine white (Sekt), housed in this grand Grรผnderzeit hall, to mark the tragic occasion with a show, a beacon of hope and solidarity.

public-key or the wedding-planner

Mathematician and cryptographer Alan Turing’s machines predated anything we’d recognise as a computer—these processors being a pure figment of his imagination in carrying brute applications out to their natural consequence, but the incredulous brilliance of this mental exercise does belie user-interface, reliance and ubiquity but rather in puzzling out the limitations of computation and programming. Given proper a proper set of instructions, an algorithm to solve a given computational problem, one of Turing’s Machines will tease out the answer eventually—though perhaps not to human-scale regardless of how these questions might be framed in mortal and approachable terms.Faced with finding the optimal seating arrangement for a small wedding party with the protocol that no guest ought to be seated next to one another whom would detest their neighbours and ruin the celebration might be easy enough—even for a human to juggle, an as yet hypothetical computer could reach the layout in a reasonable time, too, by running linearly through every possible permutation. While unconscionable teraflops make this seem instantaneous, Turing realised that for a grander matrimony with particularly prickly relations grows exponentially in complexity and computers can only work with the facts that they are given—with no capacity for compromise or good enough. Suppose one’s guests were to be the general assembly of the United Nations and then the number of possibilities that the computer must assay becomes greater than the number of atoms in the known Universe. The computer would cycle again and again for several billion years but would eventually produce a solution. The inability to provide a quick and comprehensive answer Turing recognised was a limitation and a liability, but at the same time Turing realised that this shortcoming was enduring and exploitable. Sometimes the numbers can be crunched forever. Perhaps there is no overseer, Evil Genius out there that knows where all the bodies are buried and the dirty little secrets that might make for a convivial setting, but there are also woefully multi-generational problems that can be solved with a clue. Data-encryption on one end delivers incredibly, increasingly long strings of numbers that are the product of multiplying two other numbers together on the other end, and hackers are not able to identify one or both figures—without some sort of clue. Just decades on, it seems too soon to descend into the realm of the practical from this elegant formulation, but having this limitation enables the security of on-line encryption and passing code. On the other hand, knowing how to solve logistics problems—given that finding a solution to one challenge presupposes eliminating the other as well—will serve up amazingly efficient systems of delivery. Both economic models are inseparable, it seems.