Urban Studies

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It’s pretty needless to have a robot maître d’ take orders in an autonomous restaurant–beyond novelty, of course–but a Robohow project that’s used Wikihow instructions to train machines in this function demonstrates how customizable and flexible AI may become: One machine that can be taught different tasks depending on need.

From Michelle Starr at Cnet:

The team has been using the website WikiHow as a robotic learning tool. It turns out that WikiHow’s step-by-step instructions are perfect for breaking down an activity into its component tasks, and teaching robots to understand verbal, rather than programmed, commands.

To date, they have trained the Willow Garage PR2 robot to make pancakes and pizza using WikiHow. They have also taught a robot named Rosie to make sandwiches and popcorn. This is part of a broader mission to advance machine learning, as well as teach robots how to perform human-scale manipulation activities that can be spoken by an operator, an interface anyone can use.

The latest step in this research involves the humanoid robot Romeo from Aldebaran robotics. Romeo has been trained to act as a waiter, greeting and taking a food order from a human “customer” in a restaurant simulation.•

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Nine decades before the election of President Barack Obama, a mixed-race person who identifies as African American, Charles  Curtis, a mixed-race man who identified as Native American, was elected as Herbert Hoover’s Vice President.

A child of a French, Kaw, Osage and Potawatomi mom and an English, Scotch and Welsh father, Curtis was born in the Kansas Territory and raised on a Kaw reservation. He was known as “Indian Charlie” as a boy and was a spectacular rider of horses and an accomplished prairie jockey. His mother died when he was three, and Curtis was cared for at various times by both sets of grandparents, taking an education in Topeka. A career in law led to one in politics, the biggest horse race of them all, which he also mastered. The Brooklyn Daily Eagle profiled Curtis in early 1929, soon after he he was sworn into executive office.

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Marilynne Robinson (the writer) and Barack Obama (the President) are the type of people I’m happy if surprised America still turns out. They seem of this time but of another as well, with a sense of history that feels as if it’s being rapidly churned out of the collective memory. 

In a conversation that took place recently in Iowa, and is now being published in two parts in the New York Review of Books (read part one), the pair have a wide-ranging talk, touching on many topics, including how fear–and the exploitation of it–is a large part of the contemporary political discourse. Obama, despite having his Administration and supporters mentioned in the same breath as slavery and Nazism by Ben Carson alone, is confident the madness will pass. An excerpt:

President Obama:

Why did you decide to write this book of essays? And why was fear an important topic, and how does it connect to some of the other work that you’ve been doing?

Marilynne Robinson:

Well, the essays are actually lectures. I give lectures at a fair rate, and then when I’ve given enough of them to make a book, I make a book.

President Obama:

So you just kind of mash them all together?

Marilynne Robinson:

I do. That’s what I do. But it rationalizes my lecturing, too. But fear was very much—is on my mind, because I think that the basis of democracy is the willingness to assume well about other people.

You have to assume that basically people want to do the right thing. I think that you can look around society and see that basically people do the right thing. But when people begin to make these conspiracy theories and so on, that make it seem as if what is apparently good is in fact sinister, they never accept the argument that is made for a position that they don’t agree with—you know?

President Obama:

Yes.

Marilynne Robinson:

Because [of] the idea of the “sinister other.” And I mean, that’s bad under all circumstances. But when it’s brought home, when it becomes part of our own political conversation about ourselves, I think that that really is about as dangerous a development as there could be in terms of whether we continue to be a democracy.

President Obama:

Well, now there’s been that strain in our democracy and in American politics for a long time. And it pops up every so often. I think the argument right now would be that because people are feeling the stresses of globalization and rapid change, and we went through one of the worst financial crises since the Great Depression, and the political system seems gridlocked, that people may be particularly receptive to that brand of politics.•

 

 

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From the July 20, 1901 Brooklyn Daily Eagle:

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Filippo Tommaso Marinetti and his fellow Futurists were sexist and fascistic and militaristic, not unique to them in Italy during the first half of the twentieth century. Some of their ideas were insane (sleep was to be abolished) and some neutral (tin neckties, after all, are no dumber than any other kind), but a few were worth thinking about.

One such political thought: The Futurists thought automation would eventually eliminate poverty and inequality, something that’s possible if not inevitable. A less-important though interesting cultural idea: Machines and industrial sounds should be be used to create dance music. It was very prophetic, if not initially appreciated. Their plan for reinventing boxing never came to fruition, however, as you can read in the following article about a Futurist exposition in Rome from the July 16, 1933 Brooklyn Daily Eagle.

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Stephen Hawking’s answered some of the Reddit Ask Me Anything questions that were submitted a few weeks back. Some highlights: The physicist hopes for a world in which wealth redistribution becomes the norm when and if machines do the bulk of the labor, though he realizes that thus far that hasn’t been the inclination. He believes machines might subjugate us not because of mayhem or malevolence but because of their sheer proficiency. Hawking also thinks that superintelligence might be wonderful or terrible depending on how carefully we “direct” its development. I doubt that human psychology and individual and geopolitical competition will allow for an orderly policy of AI progress. It seems antithetical to our nature. And we actually have no place setting standards governing people of the distant future. They’ll have to make their own wise decisions based on the challenges they know and information they have. Below are a few exchanges from the AMA.

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Question:

Whenever I teach AI, Machine Learning, or Intelligent Robotics, my class and I end up having what I call “The Terminator Conversation.” My point in this conversation is that the dangers from AI are overblown by media and non-understanding news, and the real danger is the same danger in any complex, less-than-fully-understood code: edge case unpredictability. In my opinion, this is different from “dangerous AI” as most people perceive it, in that the software has no motives, no sentience, and no evil morality, and is merely (ruthlessly) trying to optimize a function that we ourselves wrote and designed. Your viewpoints (and Elon Musk’s) are often presented by the media as a belief in “evil AI,” though of course that’s not what your signed letter says. Students that are aware of these reports challenge my view, and we always end up having a pretty enjoyable conversation. How would you represent your own beliefs to my class? Are our viewpoints reconcilable? Do you think my habit of discounting the layperson Terminator-style “evil AI” is naive? And finally, what morals do you think I should be reinforcing to my students interested in AI?

Stephen Hawking:

You’re right: media often misrepresent what is actually said. The real risk with AI isn’t malice but competence. A superintelligent AI will be extremely good at accomplishing its goals, and if those goals aren’t aligned with ours, we’re in trouble. You’re probably not an evil ant-hater who steps on ants out of malice, but if you’re in charge of a hydroelectric green energy project and there’s an anthill in the region to be flooded, too bad for the ants. Let’s not place humanity in the position of those ants. Please encourage your students to think not only about how to create AI, but also about how to ensure its beneficial use.

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Question:

Have you thought about the possibility of technological unemployment, where we develop automated processes that ultimately cause large unemployment by performing jobs faster and/or cheaper than people can perform them? Some compare this thought to the thoughts of the Luddites, whose revolt was caused in part by perceived technological unemployment over 100 years ago. In particular, do you foresee a world where people work less because so much work is automated? Do you think people will always either find work or manufacture more work to be done? 

Stephen Hawking:

If machines produce everything we need, the outcome will depend on how things are distributed. Everyone can enjoy a life of luxurious leisure if the machine-produced wealth is shared, or most people can end up miserably poor if the machine-owners successfully lobby against wealth redistribution. So far, the trend seems to be toward the second option, with technology driving ever-increasing inequality.

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Question:

I am a student who has recently graduated with a degree in Artificial Intelligence and Cognitive Science. Having studied A.I., I have seen first hand the ethical issues we are having to deal with today concerning how quickly machines can learn the personal features and behaviours of people, as well as being able to identify them at frightening speeds. However, the idea of a “conscious” or actual intelligent system which could pose an existential threat to humans still seems very foreign to me, and does not seem to be something we are even close to cracking from a neurological and computational standpoint. What I wanted to ask was, in your message aimed at warning us about the threat of intelligent machines, are you talking about current developments and breakthroughs (in areas such as machine learning), or are you trying to say we should be preparing early for what will inevitably come in the distant future?

Stephen Hawking:

The latter. There’s no consensus among AI researchers about how long it will take to build human-level AI and beyond, so please don’t trust anyone who claims to know for sure that it will happen in your lifetime or that it won’t happen in your lifetime. When it eventually does occur, it’s likely to be either the best or worst thing ever to happen to humanity, so there’s huge value in getting it right. We should shift the goal of AI from creating pure undirected artificial intelligence to creating beneficial intelligence. It might take decades to figure out how to do this, so let’s start researching this today rather than the night before the first strong AI is switched on.

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 Question:

I am a biologist. Your fear of AI appears to stem from the assumption that AI will act like a new biological species competing for the same resources or otherwise transforming the planet in ways incompatible with human (or other) life. But the reason that biological species compete like this is because they have undergone billions of years of selection for high reproduction. Essentially, biological organisms are optimized to ‘take over’ as much as they can. It’s basically their ‘purpose’. But I don’t think this is necessarily true of an AI. There is no reason to surmise that AI creatures would be ‘interested’ in reproducing at all. I don’t know what they’d be ‘interested’ in doing. I am interested in what you think an AI would be ‘interested’ in doing, and why that is necessarily a threat to humankind that outweighs the benefits of creating a sort of benevolent God.

Stephen Hawking:

You’re right that we need to avoid the temptation to anthropomorphize and assume that AI’s will have the sort of goals that evolved creatures to. An AI that has been designed rather than evolved can in principle have any drives or goals. However, as emphasized by Steve Omohundro, an extremely intelligent future AI will probably develop a drive to survive and acquire more resources as a step toward accomplishing whatever goal it has, because surviving and having more resources will increase its chances of accomplishing that other goal. This can cause problems for humans whose resources get taken away.•

 

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In the Backchannel piece, “Our Robot Sky,” journalist/novelist J.M. Ledgard and architect Lord Norman Foster combine efforts to propose a series of inexpensive cargo droneports around the world, especially in fraught places in desperate need of life-saving supplies. Cheap, pilotless robot planes could handle the deliveries. The first such droneport is proposed for Rwanda and would cost roughly what a new gas station would. 

From Foster’s section:

The droneport, where the sky touches the ground, is the critical element for a cargo drone route. No one has created rules for this new type of building. The opportunity to do just that is why I chose to support Redline as the very first project of the Norman Foster Foundation. Jonathan approached me and said, “Look, Norman, you’ve built the biggest airport in the world, now could you build the smallest.” The strange thing is that in ten years time the sum total of all these droneports in Africa will be bigger than the biggest airport in the world.

Our droneport holds to Buckminster Fuller’s maxim of doing more with less. It is grounded in detailed and first-hand study of isolated communities in Africa by Narinder Sagoo, a partner at the firm who has taken the lead on the project. It is very much informed by two previous projects: our 2012 Lunar Habitation for ESA, which binds lunar regolith by use of robots, and Narinder’s Sierra Leone school project, which introduces kit forms in combination with labour and intensive use of locally available materials.

Redline droneports should be affordable, clean energy civic buildings, with a strong visual presence.•

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It was in 2012 that I first put up a post about CITE, an insta-ghost town planned to be built in the New Mexican desert for the express purpose of testing technologies, and I still can’t say I fully get the concept. Is a discrete soundstage city really required when driverless cars are tested on public streets and highways? Wouldn’t it just be better for tech firms to make agreements with small urban areas for pilot programs? That would seem a truer test.

From Kieron Monks at CNN:

In the arid plains of the southern New Mexico desert, between the site of the first atomic bomb test and the U.S.-Mexico border, a new city is rising from the sand.

Planned for a population of 35,000, the city will showcase a modern business district downtown, and neat rows of terraced housing in the suburbs. It will be supplied with pristine streets, parks, malls and a church.

But no one will ever call it home.

The CITE (Center for Innovation, Testing and Evaluation) project is a full-scale model of an ordinary American town. Yet it will be used as a petri dish to develop new technologies that will shape the future of the urban environment.

The $1 billion scheme, led by telecommunications and tech firm Pegasus Global Holdings, will see 15-square-miles dedicated to ambitious experiments in fields such as transport, construction, communication and security.•

From the March 3, 1889 Brooklyn Daily Eagle.

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In her Guardian column, Jemima Kiss describes driverless cars as a “hard sell for Google,” and I agree with part of her reasoning.

Regulators and entrenched market interests will certainly be a chore to appease. The fallout will be huge, policy-wise, and auto-insurance companies, after all, aren’t not-for-profits and stand to be destabilized out of business. But I think Kiss’ contention that motorist fear of the new technology is overstated. Some may enjoy continuing to drive, but it won’t be because of apprehension about robocars. That worry will quickly abate.

Of course, the bigger point is that Google won’t be alone in trying to change the course of the future, in having automobiles be truly automatic, as Apple, Tesla, Uber, Big Auto and companies in China and Japan will be doing likewise. Google’s biggest challenge will in ensuring it’s one of the companies in the winner’s circle.

An excerpt:

The hard sell for Google will be winning over generations of people who feel safer being in control of their vehicle, don’t know or care enough about the technology, or who simply enjoy driving. Yet most people who try a demo say the same thing: how quickly the self-driving car feels normal, and safe. As the head of public policy quipped, “perhaps we just need to do demos for 7 billion people”. Google’s systems engineer Jaime Waydo helped put self-driving cars on Mars while she worked at Nasa; it may well be that regulation and public policy prove easier there than on Earth.

And before it can get to the public, Google has to get through the regulators. In taking on the auto industry, Google has some mighty pitched battles ahead, not least the radical changes it implies for the insurance industry (who will find the number of accident claims dropping sharply), car makers (who will become partners with Google to equip their autonomous cars) and the labour issues of laying off a whole class of drivers, from cabs to haulage.•

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As long as people smoke, it’s difficult to argue that free markets are chastened by free wills. It’s an addiction almost always begun in adolescence, yes, but plenty of smokers aren’t even trying to quit despite the horrifying health risks. So we tax cigarettes dearly and run countless scary PSAs, trying to curtail the appetite for destruction and push aside the market’s invisible hand offering us a light.

The cost, of course, goes beyond the rugged individual, transferred onto all of us whether we’re talking about lung cancer or obesity or financial bubbles. Sooner or later, we all pay.

In a NYRB piece about Phishing for Phools, a new book on the topic by economists George A. Akerlof and Robert J. Shiller, professional noodge Cass R. Sunstein finds merit in the work, though with some reservations. One topic of note touched on briefly: the micro-marketing of politicians aided by the “manipulation of focus.” An excerpt:

Akerlof and Shiller believe that once we understand human psychology, we will be a lot less enthusiastic about free markets and a lot more worried about the harmful effects of competition. In their view, companies exploit human weaknesses not necessarily because they are malicious or venal, but because the market makes them do it. Those who fail to exploit people will lose out to those who do. In making that argument, Akerlof and Shiller object that the existing work of behavioral economists and psychologists offers a mere list of human errors, when what is required is a broader account of how and why markets produce systemic harm.

Akerlof and Shiller use the word “phish” to mean a form of angling, by which phishermen (such as banks, drug companies, real estate agents, and cigarette companies) get phools (such as investors, sick people, homeowners, and smokers) to do something that is in the phisherman’s interest, but not in the phools’. There are two kinds of phools: informational and psychological. Informational phools are victimized by factual claims that are intentionally designed to deceive them (“it’s an old house, sure, but it just needs a few easy repairs”). More interesting are psychological phools, led astray either by their emotions (“this investment could make me rich within three months!”) or by cognitive biases (“real estate prices have gone up for the last twenty years, so they’re bound to go up for the next twenty as well”).

Akerlof and Shiller are aware that skeptics will find their depiction of human beings as “phools” to be inaccurate and impossibly condescending. Their response is that people are making a lot of bad decisions, producing outcomes that no one could possibly want. In their view, phishing for phools “is the leading cause of the financial crises that lead to the deepest recessions.” A lot of people run serious health risks from overeating, tobacco, and alcohol, leading to hundreds of thousands of premature deaths annually in the United States alone. Akerlof and Shiller think that it is preposterous to believe that these deaths are a product of rational decisions.•

 

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Vivek Wadhwa, who wisely looks at issues from all sides, has written an excellent Singularity Hub article analyzing which technologies he believes will impact global politics in the next two decades.

In the opening, he asserts something I think very true: an ascendant China isn’t really scary but that state in steep decline would be. He further argues in that first paragraph that fossil fuel is in its dying days, something that probably needs to be true if China, with its world-high cancer and air-pollution rates, is to remain stable. A nation of 1.3 billion will only cough and choke for so long. Solar and wind can’t arrive soon enough for that country, and for us all, though oil-dependent nations unable to transition will be destabilized.

An excerpt about 3D printers:

In conventional manufacturing, parts are produced by humans using power-driven machine tools, such as saws, lathes, milling machines, and drill presses, to physically remove material to obtain the shape desired. In digital manufacturing, parts are produced by melting successive layers of materials based on 3D models — adding materials rather than subtracting them. The “3D printers” that produce these use powered metal, droplets of plastic, and other materials — much like the toner cartridges that go into laser printers. 3D printers can already create physical mechanical devices, medical implants, jewelry, and even clothing. But these are slow, messy, and cumbersome — much like the first generations of inkjet printers were. This will change.

In the early 2020s we will have elegant low-priced printers for our homes that can print toys and household goods. Businesses will use 3D printers to do small-scale production of previously labor-intensive crafts and goods. Late in the next decade, we will be 3D-printing buildings and electronics. These will eventually be as fast as today’s laser printers are. And don’t be surprised if by 2030, the industrial robots go on strike, waving placards saying “stop the 3D printers: they are taking our jobs away.”

The geopolitical implications of these changes are exciting and worrisome.•

 

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Nicholas Carr’s The Glass Cage, a must-read if you want to understand all sides of this new machine age, is now out in paper. I like Carr’s thinking when I agree with him, and I like it when I don’t. He always makes me see things in a fresh way, and he’s a miraculously graceful writer. Carr put an excerpt from the book, one about the history of automation, on his blog. Here’s a smaller section from that: 

Automated machines existed before World War II. James Watt’s steam engine, the original prime mover of the Industrial Revolution, incorporated an ingenious feedback device — the fly-ball governor — that enabled it to regulate its own operation. The Jacquard loom, invented in France around 1800, used steel punch cards to control the movements of spools of different-colored threads, allowing intricate patterns to be woven automatically. In 1866, a British engineer named J. Macfarlane Gray patented a steamship steering mechanism that was able to register the movement of a boat’s helm and, through a gear-operated feedback system, adjust the angle of the rudder to maintain a set course.

But the development of fast computers, along with other sensitive electronic controls, opened a new chapter in the history of machines. It vastly expanded the possibilities of automation. As the mathematician Norbert Wiener, who helped write the prediction algorithms for the Allies’ automated antiaircraft gun, explained in his 1950 book The Human Use of Human Beings, the advances of the 1940s enabled inventors and engineers to go beyond “the sporadic design of individual automatic mechanisms.” The new technologies, while designed with weaponry in mind, gave rise to “a general policy for the construction of automatic mechanisms of the most varied type.” They opened the way for “the new automatic age.”

Beyond the pursuit of progress and productivity lay another impetus for the automatic age: politics.•

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Ten years before dying, Amiel Weeks Whipple came upon the most amazing thing, In 1853, the U.S. Army Lt. was leading an expedition of the new Southwestern territory of the United States when his party happened upon fallen, almost translucent logs in what later became known as the Petrified Forest. The “stone trees,” as Whipple dubbed them, and their shards were not just dazzling but had previously proven to have great utility. This rock-like wood had quietly spread across the continent for centuries as it served as an organic munitions plant of sorts for native peoples, providing arrow heads and the like, traded from one tribe to another. An article in the August 14, 1899 Brooklyn Daily Eagle (originally published in the Chicago Record) looked at the land less than a decade before it became a national park.

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If I was making a list of the factors behind the rash of American mass shootings, many of them happening in schools, I would lead with ease of access to guns, mental illness and drugs. Additionally, I think our fear of being labeled “losers” in this all-or-nothing age is also a factor.

In Paula Young Lee’s Salon article about the U.S. epidemic of large-scale shootings, she tries to get at the confluence of non-access issues leading to the rampages. An excerpt:

Overall, gun violence is down, but rampage shootings are up. When asked, “Why does America lead the world in school shootings?” the former Associate Director the National Institute of Mental Health, Dr. Frank Ochberg, listed the following five factors: 1) bullying, 2) major mental illness, 3) violent role models, 4) drugs, and 5) access to guns. Read that list again. Think about it. Consider the order in which it is presented, because factors 1-4 presage the final decision, which is obtaining a gun. But sociologists frequently note two additional factors driving this phenomenon: 6) copycatting, which requires the media circus precisely because the model being copied, Columbine, is the one where the media changed the script, and 7) a distinctly American version of individualism.•

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Even in the twentieth century, Philippe Petit was living in the wrong time.

The high-wire artist, a Marcel Marceau of mid-air, practiced a timeless art in an age when the clock had ascended, quantifying human activity, eclipsing slow progress. In scaling the Twin Towers, one of the major symbols of what Industrialization had created, he briefly chastened the new reality with his old-world acrobatics, conferring upon it a dignity and romance it hadn’t previously known.

As The Walk is released, here’s a piece from a 2014 New York Times Magazine interview Petit did with Jessica Gross, explaining his dual feelings about this century’s technology:

Question:

You seem to have an ambivalent relationship with your computer. In the book, you call it your “necessary evil tool.”

Philippe Petit:

I hate all electronic things that are supposed to help the human being. You don’t smell, you don’t hear, you don’t touch anymore. All our senses are being controlled. At the same time, I am a total imbecile because to have a little iPhone that can take pictures, that can find the nearest hospital, that can tell you the weather in Jakarta — it’s probably fabulous. I’m supposed to be a man of balance, but my state of mind in those things is very unbalanced. I love or I hate.•

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“We observed a type of dancer because you couldn’t call him a walker.”

From the November 19, 1903 New York Times:

Philadelphia–Dr. Andrew L. Nelden of New York to-day performed the operation of grafting an ear upon the head of a Western millionaire, who the surgeon says he is under bond not to reveal. The operation was to have been performed in New York, but District Attorney Jerome is said to have interfered.

Dr. Nelden advertised for a man willing to sell an ear for $5,000, and from more than 100 applicants he selected a young German, who at one time conducted a restaurant in New York.

Dr. Nelden said to-day:

“The operation has been performed and promises to be successful. It took place at a private hospital here, where I was assisted by a Philadelphia physician and one from New York. I think they will be willing to have their names known later.

“The two men were placed in opposite directions upon an elongated bed. One-half of a volunteer’s ear –the upper half–was cut off, together with about four inches of the skin behind the ear.

“This was twisted around and fitted to a freshly prepared wound upon my patient’s head. The half ear was held in place by bandages, and the two men were bound so that they could not move their heads. They must retain this position for at least twelve days to allow the circulation to come through the flap of skin that still remains as part of the volunteer’s scalp.

“If this half ear starts to unite properly the lower half of the ear will be grafted in the same manner.”•

As has been said before, the problem with technology is one of distribution, not scarcity. Not a small challenge, of course.

We’ll need to work our way through what will likely be a wealthier if lopsided aggregate, but we all stand to gain in a more vital way: environmentally. The new tools, through choice and some fortuitousness, are almost all designed to make the world greener, something we desperately need to snake our way through the Anthropocene. 

In Andrew McAfee’s latest post at his excellent Financial Times blog, he pivots off of Jesse Ausubel’s “The Return of Nature,” an essay which says that technological progress and information becoming the coin of the realm have led to a “dematerialization process” in America that is far kinder ecologically. Remember during the 1990s when everyone was freaking out about how runaway crime would doom society even as the problem had quietly (and mysteriously) begun a marked decline? Ausubel argues that a parallel situation is currently occurring with precious resources.

Two excerpts follow: 1) Ausubel asserts that a growing U.S. population hasn’t led to a spike in resource use, and 2) McAfee writes that the dematerialization process may explain some of the peculiarities of the economy.

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From Ausubel:

In addition to peak farmland and peak timber, America may also be experiencing peak use of many other resources. Back in the 1970s, it was thought that America’s growing appetite might exhaust Earth’s crust of just about every metal and mineral. But a surprising thing happened: even as our population kept growing, the intensity of use of the resources began to fall. For each new dollar in the economy, we used less copper and steel than we had used before — not just the relative but also the absolute use of nine basic commodities, flat or falling for about 20 years. By about 1990, Americans even began to use less plastic. America has started to dematerialize. 

The reversal in use of some of the materials so surprised me that Iddo Wernick, Paul Waggoner, and I undertook a detailed study of the use of 100 commodities in the United States from 1900 to 2010. One hundred commodities span just about everything from arsenic and asbestos to water and zinc. The soaring use of many resources up to about 1970 makes it easy to understand why Americans started Earth Day that year. Of the 100 commodities, we found that 36 have peaked in absolute use, including the villainous arsenic and asbestos. Another 53 commodities have peaked relative to the size of the economy, though not yet absolutely. Most of them now seem poised to fall. They include not only cropland and nitrogen, but even electricity and water. Only 11 of the 100 commodities are still growing in both relative and absolute use in America. These include chickens, the winning form of meat. Several others are elemental vitamins, like the gallium and indium used to dope or alloy other bulk materials and make them smarter. …

Much dematerialization does not surprise us, when a single pocket-size smartphone replaces an alarm clock, flashlight, and various media players, along with all the CDs and DVDs.

But even Californians economizing on water in the midst of a drought may be surprised at what has happened to water withdrawals in America since 1970. Expert projections made in the 1970s showed rising water use to the year 2000, but what actually happened was a leveling off. While America added 80 million people –– the population of Turkey –– American water use stayed flat.•

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From McAfee:

Software, sensors, data, autonomous machines and all the other digital tools of the second machine age allow us to use a lot fewer atoms throughout the economy. Precision agriculture enables great crop yields with much less water and fertiliser. Cutting-edge design software envisions buildings that are lighter and more energy efficient than any before. Robot-heavy warehouses can pack goods very tightly, and so be smaller. Autonomous cars, when (not if) they come, will mean fewer vehicles in total and fewer parking garages in cities. Drones will replace delivery trucks. And so on.

The pervasiveness of this process, which Mr Ausubel labels “dematerialisation,” might well be part of the reason that business investment has been so sluggish even in the US, where profits and overall growth have been relatively robust. Why build a new factory, after all, if a few new computer-controlled machine tools and some scheduling software will allow you to boost output enough from existing ones? And why build a new data centre to run that software when you can just put it all in the cloud?•

 

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So many things are at play in the race for the perfected driverless vehicle: economics, environment, geopolitics. There likely won’t be one company or nation that fully wins, though you don’t want to be on the outside looking in. And you need to have ready answers for the what’s likely to be resulting unemployment.

Japan announced it will be testing robo-cabs in 2016, while China reports it has already tested driverless buses. 

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From Jun Hongo at the WSJ:

Japan’s cabinet office, Kanagawa prefecture and Robot Taxi Inc. on Thursday said they will start experimenting with unmanned taxi service beginning in 2016. The service will be offered for approximately 50 people in Kanagawa prefecture, just south of Tokyo, with the auto-driving car carrying them from their homes to local grocery stores.

According to the project organizers, the cabs will drive a distance of about three kilometers (two miles), and part of the course will be on major avenues in the city. Crew members will be aboard the car during the experiment in case there is a need to avoid accidents. …

Shinjiro Koizumi, son of former Prime Minister Junichiro Koizumi and a vice minister in the current government of Prime Minister Shinzo Abe, appeared at an event Thursday afternoon to promote the driverless-taxi effort. “There are a lot of people who say it’s impossible, but I think this will happen faster than people expect,” he said.•

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From The Economic Times:

BEIJING: A Chinese bus-maker has claimed that its driverless bus has completed a successful trial operation on an intercity road in central China’s Henan Province, where it automatically changed lanes and stopped at traffic signals.

The 10.5-metre hybrid bus by Yutong Bus Co. Ltd. ran around 32.6 kilometres on the intercity road linking Zhengzhou City with Kaifeng City in late August, state-run Xinhua news agency reported today.

The driverless bus has passed all tests, including identifying all 26 traffic lights on the road, automatically changing lanes and overtaking vehicles in neighboring lanes, the company said.

The bus is installed with two cameras, four laser radars, one set of millimetre wave radar and integrated navigation system.•

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No contemporary authoritarian ruler would think the Internet an ideal tool for propaganda. For all its deficits, it’s still too anarchic to be controlled. Kim Jong-un, for one, just blocks it. Cinema in another era, however, offered fascists larger-than-life spin-machine opportunities.

From early on, Benito Mussolini, Italy’s vulgar, murderous clown, knew film could be manipulated and controlled in a world of limited home technology. He planned to open a sprawling movie studio in 1937 which was to surpass Hollywood, and like his trains were purported to do, it arrived on time, turning Italy into an insane asylum with a studio system. After Il Duce met the business end of a meat hook atop an Esso gas station and the nation was defeated in WWII, the lots served briefly as a refugee camp. Later, Cinecittà, as it was known, became the backbone of a rebuilt Italy’s film industry, acting as the backdrop to American-produced epics like Ben-Hur as well as numerous Federico Fellini projects. 

An article in the April 16, 1936 Brooklyn Daily Eagle covered the massive studio’s construction, among other things. An excerpt from it is embedded below.

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From the May 1, 1932 Brooklyn Daily Eagle.

Outside of governments largely deregulating drones, the easiest way to bring about their proliferation would be for private companies to purchase fleets of them to rent out. That would remove the risk for individuals and small businesses who have a need for them but are reluctant to purchase. Such large-scale outfits making bulk purchases would spur further development and diminish costs, which in turn would lead to more private ownership. It’s worth remembering, however, that privacy will suffer further if the sector thrives.

From 

The business of drones has ascended into the stratosphere, as investors have poured hundreds of millions of dollars into the tiny unmanned aircraft in hopes of turning them into big business.

Now Robert Wolf, the financier who is a confidant of President Obama, is raising his bet on an industry that has already drawn names like Amazon and GoPro and top venture capital firms like Accel Partners and Kleiner Perkins Caufield & Byers.

Mr. Wolf’s advisory firm plans to announce on Wednesday that it is spinning off its drone-services arm into a separate company. The business, Measure, is betting that its ability to fly the devices to take pictures of farmland and oil rigs will draw interest, and dollars, from a potentially huge number of customers.

Nearly two years ago, Mr. Wolf’s 32 Advisors set up Measure to capture that opportunity. Rather than focus on making the drones or the accessories and software that power them, he has banked on creating a fleet of aircraft that can be flown on behalf of customers. For Measure, it is “drones as a service.”

“We think that over the next 24 to 36 months, we’ll be able to fulfill something that doesn’t exist around the world,” Mr. Wolf, Measure’s chairman, said in a telephone interview.•

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  • The human brain is the most amazingly complex machine, until the day it becomes a simple one. If we last long enough, that moment will arrive, and consciousness will no longer be the hard problem or any problem at all.
  • I don’t think intelligent machines are happening anytime soon, but they’re likely if the Anthropocene or some other age doesn’t claim us first. In fact, we may ultimately become them, more or less. But I’m not talking about today or tomorrow. In the meanwhile, Weak AI will be enough of a boon and bane to occupy us.
  • The problem I have with concerned technologists attempting to curb tomorrow’s superintelligence today is that any prescripts we create now will become moot soon enough as realities shift. New answers will alter old questions. It’s better to take an incremental approach to these challenges, and try to think through them wisely in our era and trust future humans to do the same in theirs.

From Jane Wakefield’s BBC article “Intelligent Machines: Do We Really Need to Fear AI?“:

Already operating on the South Korean border is a sentry robot, dubbed SGR-1. Its heat-and-motion sensors can identify potential targets more than two miles away. Currently it requires a human before it shoots the machine gun that it carries but it raises the question – who will be responsible if the robots begin to kill without human intervention?

The use of autonomous weapons is something that the UN is currently discussing and has concluded that humans must always have meaningful control over machines.

Noel Sharkey co-founded the Campaign to Stop Killer Robots and believes there are several reasons why we must set rules for future battlefield bots now.

“One of the first rules of many countries is about preserving the dignity of human life and it is the ultimate human indignity to have a machine kill you,” he said.

But beyond that moral argument is a more strategic one which he hopes military leaders will take on board.

“The military leaders might say that you save soldiers’ lives by sending in machines instead but that is an extremely blinkered view. Every country, including China, Russia and South Korea is developing this technology and in the long run, it is going to disrupt global security,” he said.

“What kind of war will be initiated when we have robots fighting other robots? No-one will know how the other ones are programmed and we simply can’t predict the outcome.”

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Thomas Pynchon has called Tombstone, Arizona, the “American Camelot,” and its first knight errant was prospector Edward Schieffelin, whose lucky strike made him fabulously wealthy, though he subsequently lost it all in other ventures that weren’t quite as fortuitous. Soon after Schieffelin’s death by heart attack in 1897, an article in the Brooklyn Daily Eagle recalled the town’s auspicious beginnings and told tales of some of Tombstone’s most colorful figures.

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Speaking of Minority Report, Hitachi says it’s created a system that crunches disparate data (tweets, weather patterns, etc.) and predicts where and when future crimes will occur. Of course, right now it will do so on a macro level as traditional crime-prediction models do, not trying to pinpoint particular people, but as these kinds of tools grow more sophisticated and proliferate, it seems likely they’ll try to operate more and more on a micro one. That could be all kinds of trouble. On the surface, it would be less invasive than stop-and-frisk, but systems, like people, contain all sorts of biases and assumptions.

From Sean Captain at Fast Company:

No one has found a trio of psychic mutant “precogs” who can unanimously foresee future crimes, but Hitachi today introduced a system that promises to predict where and when crime is likely to occur by ingesting a panoply of data, from historical crime statistics to public transit maps, from weather reports to social media chatter. Hitachi says that “about half a dozen” U.S. cities will join a proof of concept test of the technology beginning in October, and though Hitachi hasn’t yet named them, Washington, D.C. could well be on the list. It’s one of several dozen cities in the U.S. and Caribbean countries where the company already provides video surveillance and sensor systems to police departments with its Hitachi Visualization Suite. Hitachi execs provided several examples—even screenshots of the software—featuring D.C. in my conversations with them.

“We don’t have any precogs as part of our system,” says Darrin Lipscomb, cofounder of companies Avrio and Pantascene, which developed crime-monitoring tech that Hitachi later acquired. “If we determined that the precogs were actually somewhat accurate, we could certainly use their predictions to feed into our model,” he says with perfect deadpan. What the new technology, called Hitachi Visualization Predictive Crime Analytics (PCA), does have is the ability to ingest streams of sensor and Internet data from a wide variety of sources.•

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