Nature has amassed 3.8 billion years of R&D on how to engineer and design things and systems. So when designers are looking at how to solve problems, they should pay closer attention to how the evolutionary process dealt with similar situations. For example, an engineer working on a redesign of the Japanese bullet train used his birdwatching knowledge to borrow design elements from birds like a kingfisher, an owl, and a penguin.
Japan’s Shinkansen doesn’t look like your typical train. With its long and pointed nose, it can reach top speeds up to 150-200 miles per hour.It didn’t always look like this. Earlier models were rounder and louder, often suffering from the phenomenon of “tunnel boom,” where deafening compressed air would rush out of a tunnel after a train rushed in. But a moment of inspiration from engineer and birdwatcher Eiji Nakatsu led the system to be redesigned based on the aerodynamics of three species of birds.
I love the idea of the Shinkansen as a chimerical creature constructed from the bodies of three very different types of birds. (via the kid should see this)
The winners of the 2017 Epson International Pano Awards have been announced. In Focus has a round-up of some of the best ones. It was tough to choose just three to feature here, so make sure and check out all the winners. Photos by Francisco Negroni, Paolo Lazzarotti, and Ray Jennings.
From Umair Haque, a provocative question: Why Don’t Americans Understand How Poor Their Lives Are?
In London, Paris, Berlin, I hop on the train, head to the cafe — it’s the afternoon, and nobody’s gotten to work until 9am, and even then, maybe not until 10 — order a carefully made coffee and a newly baked croissant, do some writing, pick up some fresh groceries, maybe a meal or two, head home — now it’s 6 or 7, and everyone else has already gone home around 5 — and watch something interesting, maybe a documentary by an academic, the BBC’s Blue Planet, or a Swedish crime-noir. I think back on my day and remember the people smiling and laughing at the pubs and cafes.
In New York, Washington, Philadelphia, I do the same thing, but it is not the same experience at all. I take broken down public transport to the cafe — everybody’s been at work since 6 or 7 or 8, so they already look half-dead — order coffee and a croissant, both of which are fairly tasteless, do some writing, pick up some mass-produced groceries, full of toxins and colourings and GMOs, even if they are labelled “organic” and “fresh”, all forbidden in Europe, head home — people are still at work, though it’s 7 or 8 — and watch something bland and forgettable, reality porn, decline porn, police-state TV. I think back on my day and remember how I didn’t see a single genuine smile — only hard, grim faces, set against despair, like imagine living in Soviet Leningrad.
Haque places the blame on our inability as a society to look outward and learn from ourselves, from history, and from the rest of the world.
So just as Americans don’t get how bad their lives really are, comparatively speaking — which is to say how good they could be — so too Europeans don’t fully understand how good their lives are — and how bad, if they continue to follow in America’s footsteps, austerity by austerity, they could be. Both appear to be blind to one another’s mistakes and successes.
Reading it, I noticed a similarity to Ted Chiang’s essay on the unchecked capitalism of Silicon Valley (which I linked to this morning). Chiang notes that corporations lack insight:
In psychology, the term “insight” is used to describe a recognition of one’s own condition, such as when a person with mental illness is aware of their illness. More broadly, it describes the ability to recognize patterns in one’s own behavior. It’s an example of metacognition, or thinking about one’s own thinking, and it’s something most humans are capable of but animals are not. And I believe the best test of whether an AI is really engaging in human-level cognition would be for it to demonstrate insight of this kind.
Haque is saying that our societies lack insight as well…or at least the will to incorporate that insight into practice.
Photographer Kenji Toma makes these hyperrealistic images of flowers that are so detailed that they almost look fake because every part of each flower is in sharp focus. Johnny of Spoon & Tamago explains:
To create photographs, which both hyper-realistic to the point of looking artificial, Toma utilized a process called focus-bracket shooting. It’s a method of photography often employed to shoot close-up, macro photos in which the final photograph is a composite of several images of the subject with each element in full focus. “Hyper-realism allows him to capture the specimen’s idealized beauty, creating a work that is deeply modern, yet in harmony with a rich Japanese history and tradition.”
Claire Dederer’s recent essay for The Paris Review, What Do We Do with the Art of Monstrous Men?, starts off with a discussion of the ethical and moral issues around appreciating the art of men who are monsters (e.g. Woody Allen, Roman Polanski, or Picasso):
They did or said something awful, and made something great. The awful thing disrupts the great work; we can’t watch or listen to or read the great work without remembering the awful thing. Flooded with knowledge of the maker’s monstrousness, we turn away, overcome by disgust. Or … we don’t. We continue watching, separating or trying to separate the artist from the art. Either way: disruption. They are monster geniuses, and I don’t know what to do about them.
Interesting enough, right? I don’t want to spoil it too much, but the essay takes a sharp turn about halfway through, leading to a fascinating examination of the necessary selfishness of artists.
There are many qualities one must possess to be a working writer or artist. Talent, brains, tenacity. Wealthy parents are good. You should definitely try to have those. But first among equals, when it comes to necessary ingredients, is selfishness. A book is made out of small selfishnesses. The selfishness of shutting the door against your family. The selfishness of ignoring the pram in the hall. The selfishness of forgetting the real world to create a new one.
Really worth reading the whole thing…I’ve been thinking about it constantly since I read it the other day.
Suzanne LaBarre of Co.Design has come up with an update of Rams’ list for 2018: 10 New Principles Of Good Design.
Good design is slow. For the past 20 years, tech has embraced a “move fast and break things” mantra. That was fine when software had a relatively small impact on the world. But today, it shapes nearly every aspect of our lives, from what we read to whom we date to how we spend money-and it’s largely optimized to benefit corporations, not users. The stakes have changed, the methods haven’t.
Good design is good writing. In his “2017 Design in Tech Report,” author John Maeda anointed writing as design’s newest unicorn skill. It’s easy to see why. With the rise of chatbots and conversational UI, writing is often the primary interface through which users interact with a product or service. (Siri’s dad jokes had to be written by someone.) But even designers who don’t work on interface copy should be able to articulate themselves clearly. The better their writing, the better their chances of selling an idea.
See also the tongue-in-cheek list of design principles updated for the tech industry, e.g. “Good design is pleasing your shareholders”.
Ted Chiang is most widely known for writing Story of Your Life, an award-winning short story that became the basis for Arrival. In this essay for Buzzfeed, Chiang argues that we should worry less about machines becoming superintelligent and more about the machines we’ve already built that lack remorse & insight and have the capability to destroy the world: “we just call them corporations”.
Speaking to Maureen Dowd for a Vanity Fair article published in April, Musk gave an example of an artificial intelligence that’s given the task of picking strawberries. It seems harmless enough, but as the AI redesigns itself to be more effective, it might decide that the best way to maximize its output would be to destroy civilization and convert the entire surface of the Earth into strawberry fields. Thus, in its pursuit of a seemingly innocuous goal, an AI could bring about the extinction of humanity purely as an unintended side effect.This scenario sounds absurd to most people, yet there are a surprising number of technologists who think it illustrates a real danger. Why? Perhaps it’s because they’re already accustomed to entities that operate this way: Silicon Valley tech companies.Consider: Who pursues their goals with monomaniacal focus, oblivious to the possibility of negative consequences? Who adopts a scorched-earth approach to increasing market share? This hypothetical strawberry-picking AI does what every tech startup wishes it could do — grows at an exponential rate and destroys its competitors until it’s achieved an absolute monopoly. The idea of superintelligence is such a poorly defined notion that one could envision it taking almost any form with equal justification: a benevolent genie that solves all the world’s problems, or a mathematician that spends all its time proving theorems so abstract that humans can’t even understand them. But when Silicon Valley tries to imagine superintelligence, what it comes up with is no-holds-barred capitalism.
As you might expect from Chiang, this piece is full of cracking writing. I had to stop myself from just excerpting the whole thing here, ultimately deciding that would go against the spirit of the whole thing. So just this one bit:
The ethos of startup culture could serve as a blueprint for civilization-destroying AIs. “Move fast and break things” was once Facebook’s motto; they later changed it to “Move fast with stable infrastructure,” but they were talking about preserving what they had built, not what anyone else had. This attitude of treating the rest of the world as eggs to be broken for one’s own omelet could be the prime directive for an AI bringing about the apocalypse.
Ok, just one more:
The fears of superintelligent AI are probably genuine on the part of the doomsayers. That doesn’t mean they reflect a real threat; what they reflect is the inability of technologists to conceive of moderation as a virtue. Billionaires like Bill Gates and Elon Musk assume that a superintelligent AI will stop at nothing to achieves its goals because that’s the attitude they adopted. (Of course, they saw nothing wrong with this strategy when they were the ones engaging in it; it’s only the possibility that someone else might be better at it than they were that gives them cause for concern.)
You should really just read the whole thing. It’s not long and Chiang’s point is quietly but powerfully persuasive.
