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davos197

Part of the story about companies, even individuals, being able to compete with states on large-scale projects–the Space Race 2.0, the eradication of infectious diseases, etc.–is the progress of our tools. Their increase in power and decrease in cost have leveled the playing field to some degree. But the world is still not flat. It requires billions to get into these games.

The other side of the narrative is that soaring wealth inequality, the signs of capitalism run amok, has enabled these nations of one, something more independent and rouge-ish than oligarchs. The new arrangement has allowed super-rich kids to purchase Vancouver apartments like they were postcards. More importantly, it’s allowed the few to acquire outsize influence.

That’s not to deride the more progressive megarich among us, the exceptions to the rule, even if a system that allows such unevenness is largely bad. Bill Gates, in his avuncular, sweater-clad 2.0 iteration, has done amazing work for the world. Elon Musk has directed his sizable ego mostly in the direction of enabling a cleaner Earth and a multi-planet species. Russian billionaire Yuri Milner’s micro-mission to Alpha Centauri is laudable. You can argue if some of these projects are the best immediate uses of resources, but there is a sense of generosity among these moonshots.

Nicolas Berggruen, a German-American billionaire, has been both a conspicuous consumer and philanthropist. He’s used some of his bankroll to establish a lavish Davos of sorts, an interdisciplinary Los Angeles parlor for discussion about important topics, including, amusingly, equality. The opening of Alessandra Stanley’s well-written profile of the think-tank tinkerer:

In a wood-paneled conference room in Stanford, Calif., a score of scholars, many of them eminent and some from as far away as Johannesburg and Beijing, gathered last month to compare philosophical notions of hierarchy and equality.

The gathering itself had no overt hierarchy, though one participant seemed a little more equal than the others. When Nicolas Berggruen spoke, no one interrupted. Only he occasionally checked his phone. And at dinner, the guests received fruit tarts for dessert — except for Mr. Berggruen, who was served chocolate mousse.

Mr. Berggruen, 54, is an investor and art collector who was once known as the “homeless billionaire” because he lived in itinerant luxury in five-star hotels. Now he is grounded in Los Angeles where he presides over a bespoke think tank, the Berggruen Institute.

The institute is a striking example of how wealthy philanthropists are reshaping the landscape with smaller versions of the foundations established by Bill Gates and George Soros. Sean Parker, one of the entrepreneurs behind Napster and Facebook, has a research institute, The Parker Foundation, which this month pledged $250 million for cancer immunotherapy. He is also a co-founder of the Economic Innovation Group, which labels itself an “ideas laboratory.” Tom Steyer, who made his fortune as a hedge fund manager in California, has several environmental nonprofit groups, and last year created the Fair Shake Commission to redress economic inequality.

“There is a generation of new donors who have huge assets, and their own ideas, and think traditional think tanks are old-fashioned,” said James G. McGann, the director of the Think Tanks and Civil Societies Program at the University of Pennsylvania — a think tank that thinks about think tanks. In a money-fueled culture where tweets, not position papers, shape the national conversation, these kinds of philosopher-kingpins “are likely to be more influential than we are,” Mr. McGann said.•

 

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VW-Werk, Wolfsburg Forschung und Entwicklung Reparatur und Vorbereitung eines Dummy (Testpuppe) für Crash-Test.

Superintelligent machines may be the death of us, but far-less-smart AI can also lead to disasters, even cascading ones. In a Japan Times op-ed, philosopher Peter Singer thinks that AlphaGo’s stunning recent victory and the progress of driverless cars should spur an earnest discussion of the moral code of microchips and sensors and such. “It is not too soon to ask whether we can program a machine to act ethically,” he writes.

We shouldn’t set rules governing AI that will bind people deep into a future that will present different realities than our own, but laying a foundation for constantly assessing and reassessing the prowess of machine intelligence is vital.

An excerpt:

Eric Schmidt, executive chairman of Google’s parent company, the owner of AlphaGo, is enthusiastic about what artificial intelligence means for humanity. Speaking before the match between Lee and AlphaGo, he said that humanity would be the winner, whatever the outcome, because advances in AI will make every human being smarter, more capable and “just better human beings.”

Will it? Around the same time as AlphaGo’s triumph, Microsoft’s “chatbot” — software named Taylor that was designed to respond to messages from people aged 18 to 24 — was having a chastening experience. Tay, as she called herself, was supposed to be able to learn from the messages she received and gradually improve her ability to conduct engaging conversations. Unfortunately, within 24 hours, people were teaching Tay racist and sexist ideas. When she starting saying positive things about Hitler, Microsoft turned her off and deleted her most offensive messages.

I do not know whether the people who turned Tay into a racist were themselves racists, or just thought it would be fun to undermine Microsoft’s new toy. Either way, the juxtaposition of AlphaGo’s victory and Taylor’s defeat serves as a warning. It is one thing to unleash AI in the context of a game with specific rules and a clear goal; it is something very different to release AI into the real world, where the unpredictability of the environment may reveal a software error that has disastrous consequences.

Nick Bostrom, the director of the Future of Humanity Institute at Oxford University, argues in his book “Superintelligence” that it will not always be as easy to turn off an intelligent machine as it was to turn off Tay.•

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As a visionary business person, Elon Musk is complicated. He’s the Tesla EV car manufacturer who’s repeatedly over-promised on price and production. Of course, he’s also the aspiring spaceman who stuck the landing of a reusable rocket on the deck of a drone ship. So his bold proclamations in regards to the near-term delivery of the first fully autonomous car–he promises we’ll be able to summon our driverless Model 3 across the country by 2018–should make us wary–or not. 

Most driverless systems use LIDAR, which has limitations in inclement conditions, so a true robocar won’t be a self-contained thing. It will need be informed not only by regularly updated mapping, which won’t be perfect and will constantly have its accuracy degraded, but will also need to be in communication with other automobiles and different smart gadgets. Google, with its gazillion Android devices fanned out across the country, would seem to have an advantage born of synergy, but Musk believes his AI is superior and far cheaper. I seriously doubt anyone will have such a fully-realized system ready for the market in 20 months, though further significant integration of driverless capabilities and Atlantic-to-Pacific demos wouldn’t shock me. Of course, if you had told me a couple of years ago that a reusable rocket would gently lower onto a drone ship in 2016, I would have bet the under on that one also.

Two excerpts follow, one from a New Yorker piece by Levi Tillemann and Colin McCormick, which explains how Tesla may have quietly developed a better strategy, and the other a segment of an Economist article which offers a crisp explanation of the significant hurdles that must be cleared for robocars, some of which would appear to apply even to Musk’s LIDAR-less plan.


From the New Yorker:

In October of 2014, Tesla began offering its Model S and X customers a “technology package,” which included this sensor array and cost about four thousand dollars. The equipment allowed the company to record drivers’ movements, unless they opted out of the tracking, and—most important—to start amassing an enormous trove of data. A year later, it remotely activated its “Autopilot” software on tens of thousands of these cars. Suddenly, drivers had the ability to engage some limited autonomous functions, including dynamic cruise control (pegging your car’s speed to the speed of the car in front of you), course alignment inside highway lanes, and on-command lane-changing. Some drivers were unnerved by the Autopilot functions, and cars occasionally swerved or drove off the road. But many of Tesla’s tech-tolerant early adopters relished the new features.

Autopilot also gave Tesla access to tens of thousands of “expert trainers,” as Musk called them. When these de-facto test drivers overrode the system, Tesla’s sensors and learning algorithms took special note. The company has used its growing data set to continually improve the autonomous-driving experience for Tesla’s entire fleet. By late 2015, Tesla was gathering about a million miles’ worth of driving data every day.

To understand how commanding a lead this gives the company in the race for real-world autonomous-driving data, consider the comparably small number of lidar-based autonomous vehicles—all of them test cars—that some of its competitors have on the road. California, where much of the research on self-driving cars is taking place, requires companies to register their autonomous vehicles, so we know that currently Nissan has just four such cars on the road in the state, while Mercedes has five. Google has almost eighty registered in the state (though not all of them are in service); it is also doing limited testing in Arizona, Texas, and Washington. Ford announced earlier this year that it was adding twenty new cars to its test fleet, giving it thirty vehicles on the road in Arizona, California, and Michigan, which it says is the largest fleet of any traditional automaker. By comparison, Tesla has sold roughly thirty-five thousand cars in the U.S. since October of 2014. The quality of the data that these vehicles are producing is unlikely to be as rich as the information the lidar cars are providing, but Tesla’s vastly superior fleet size means that its autonomous cars can rack up as much driving experience every day or two as Google’s cars have cumulatively.


From the Economist:

Some car firms, including Nissan, Ford, Kia and Tesla, think self-driving technology will be ready by 2020. Volvo plans to offer fully autonomous cars to 100 drivers as early as next year. All this increases the pressure to map the world in high definition before cars begin to drive themselves out of showrooms. HERE has several hundred vehicles like George mapping millions of kilometres of roads annually in 32 countries. TomTom has 70 on motorways and major roads in Europe and North America. Zenrin, a Japanese mapping firm partly owned by Toyota, is particularly active in Asia.

Analysing and processing data from so many vehicles is one of the biggest challenges. HERE originally had people inspecting the raw LIDAR data and turning it into a digital model using editing software—rather like “Minecraft for maps”, says Mr Ristevski. But manually extracting the data was painfully slow, and the company has now developed machine-learning algorithms to find automatically such things as lane markings and the edges of pavements. HERE’s AI systems can identify road signs and traffic lights from George’s still photos. Humans then modify and tweak the results, and check for errors.

Yet George’s data begin to age as soon as they are collected. Subsequent construction, roadworks or altered speed limits could lead to a self-driving car working from a dangerously outdated map. Maps will never be completely up-to-date, admits Mr Ristevski. “Our goal will be to keep the map as fresh and accurate as possible but vehicle sensors must be robust enough to handle discrepancies.”

Mapping vehicles are sent back to big cities like San Francisco regularly, but the vast majority of the roads they capture might be revisited annually, at best. A partial solution is to use what Mr Ristevski euphemistically calls “probe data”: the digital traces of millions of people using smartphones and connected in-car systems for navigation. HERE receives around 2 billion individual pieces of such data daily, comprising a car’s location, speed and heading, some of it from Windows devices (a hangover from when HERE was owned by Nokia, now part of Microsoft).

These data are aggregated and anonymised to preserve privacy, and allow HERE quickly to detect major changes such as road closures. As cars become more sophisticated, these data should become richer. Ultimately, reckons Mr Ristevski, self-driving cars will help to maintain their own maps.•

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Computer matchmaking dates back long before “Language Style Matching,” all the way to the 1950s, in Canada at least, when singles experimented with IBM punch-card yenta-ing. It was, as you might guess, rudimentary, as hook-ups encouraged by the machines (based largely on height and age and hair color) still had to be arranged via rotary phone. By 1966, Gene Shalit and his mustache headed to Harvard to report for Look magazine on a computer-enabled, pre-Tinder bacchanal sweeping elite American colleges. The opening of Shalit’s Borscht Belt-New Journalism mashup for the long-defunct title:

Out of computers, faster than the eye can blink, fly letters stacked with names of college guys and girls–taped, scanned, checked and matched. Into the mails speed the compatible pairs, into P.O. boxes at schools across the land. Eager boys grab their phones… anxious coeds wait in dorms … a thousand burrrrrrrings jar the air . . . snow-job conversations start, and yeses are exchanged: A nationwild dating spree is on. Thousands of boys and girls who’ve never met plan weekends together, for now that punch-card dating’s here, can flings be far behind? And oh, it’s so right, baby. The Great God Computer has sent the word. Fate. Destiny. Go-go-go. Call it dating, call it mating, it flashed out of the minds of Jeff Tarr and Vaughn Morrill, Harvard undergraduates who plotted Operation Match, the dig-it dating system that ties up college couples with magnetic tape. The match mystique is here: In just nine months, some 100,000 collegians paid more than $300,000 to Match (and to its MIT foe, Contact) for the names of at least five compatible dates. Does it work? Nikos Tsinikas, a Yale senior, spent a New Haven weekend with his computer-Matched date, Nancy Schreiber, an English major at Smith. Result, as long date’s journey brightened into night: a bull’s-eye for cupid’s computer.•

Holy fuck, someone should have punched Gene Shalit right in the handlebar. Interesting though, despite the woeful writing, is that proto-Zuckerbergs were climbing the Ivy 50 years ago, trying to transform strange faces into friends. In a decade, “smart” romance had been monetized and become somewhat more sophisticated, but Moore’s Law clearly had a ways to go before it could truly be brought to bear on mating.

While today’s dating apps are much more algorithmically adept, it still feels like we’re in the early stages of machine-assisted love. Will the continuous development of language analysis and AI “eyes” be able to identify our cues even before we do? What does love at first sight mean in an age of visual-recognition systems?

In “When Dating Algorithms Can Watch You Blush,” Julia M. Klein’s smart Nautilus piece, the reporter looks at the next-level work of Northwestern psychologist Eli Finkel, who acknowledges it’s unlikely there is “ever going to be an algorithm that will find your soul mate.” He’s just hoping for significant if incremental improvement. The opening:

Let’s get the basics over with,” W said to M when they met on a 4-minute speed date. “What are you studying?”

“Uh, I’m studying econ and poli sci. How about you?”

“I’m journalism and English literature.”

“OK, cool.”

“Yeah.”

They talked about where they were from (she hailed from Iowa, he from New Jersey), life in a small town, and the transition to college. An eavesdropper would have been hard-pressed to detect a romantic spark in this banal back-and-forth. Yet when researchers, who had recorded the exchange, ran it through a language-analysis program, it revealed what W and M confirmed to be true: They were hitting it off.

The researchers weren’t interested in what the daters discussed, or even whether they seemed to share personality traits, backgrounds, or interests. Instead, they were searching for subtle similarities in how they structured their sentences—specifically, how often they used function words such as it, that, but, about, never, and lots. This synchronicity, known as “language style matching,” or LSM, happens unconsciously. But the researchers found it to be a good predictor of mutual affection: An analysis of conversations involving 80 speed daters showed that couples with high LSM scores were three times as likely as those with low scores to want to see each other again.

It’s not just speech patterns that can encode chemistry. Other studies suggest that when two people unknowingly coordinate nonverbal cues, such as hand gestures, eye gaze, and posture, they’re more apt to like and understand each other. These findings raise a tantalizing question: Could a computer know whom we’re falling for before we do?•

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Robots have been able to make hamburgers for more than 50 years, but it was never before financially sensible for franchises to transition. When such work was greasy kid stuff, the positions paid little and had a high churn rate. They were beginner jobs.

Globalization, technological progress and other factors, however, have hollowed out the middle in America, so calls for minimum-wage increases in such service positions, now often treated as careers, were a natural. Equally expected is the response by fast-food company CEOs who want to keep the bottom line lean: We’ll automate.

Perhaps there’s something worse than the fear that we’ll be reduced to McJobs: What if even such low-paying positions are automated?

From Joe Kaiser at Illinois Policy:

The Fight for $15 campaign plans to target McDonald’s on April 14 as part of a new pre-Tax Day tradition, led by the Service Employees International Union, or SEIU.

Chicago is one of 300 cities worldwide where strikes and protests are scheduled. SEIU has spent $70 million on its Fight for $15 campaign. The union’s Local 73 represents more than 28,000 government workers in Illinois and Indiana.

Protestors may want to stop by the McDonald’s at Adams and Wells to meet their replacement – an automated McCafé kiosk.

The store, which is anticipating Chicago’s minimum-wage increase to $13 an hour by 2019, is testing out coffee kiosks in the restaurant instead of having employees serve it. The kiosk features a touch-pad for ordering and paying. The screen also prompts customers to answer questions about their kiosk experience, giving the impression this is something that could be adopted as an alternative to hiring. This kind of automation, which replaces a human employee with technology, is one of the unintended consequences of Chicago’s minimum-wage increase.

It may not just be a coffee machine either. Other McDonald’s locations have used self-service kiosks with touch-screens for paying. And while self-serve kiosks don’t seem too unusual, San Francisco-based Momentum Machines has created a robotic hamburger-making machine the company claims can produce 400 high-quality burgers in an hour with minimal human supervision.

A robot making a hamburger sounds a bit absurd, but the desire to circumvent artificially set wages certainly isn’t.•

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monica lewinsky and bill clinton circa 1995 AP

It sometimes seems that Monica Lewinsky was the last American with a sense of shame. It did not benefit her.

Celebutantes with sex tapes have since sold their boldface indiscretions for countless millions and covered Vogue. Most of them have a short shelf life, falling not soon after rising, but the Kardashians have taken Andy Warhol’s fifteen minutes of fame and broken the hands off the clock, becoming our other First Family. They are not ashamed. 

Lewinsky, shaped by the pre-Internet Era, was not proud of her acts with the leader of the free world. She has never fully escaped the dark shadow of infamy, having spent her formative years mocked for her morals and weight, for being the girl in the beret used like a White House humidor. Just imagine the dumbest thing you did when you were 22 put on blast for the entire world. It’s unthinkable for anyone not raised on selfies and social media to survive such a thing, to flourish. Before everyone lived in public, privacy was prized, reputations mattered. It’s better in the big picture that the next generations don’t have to be ruined anymore by trolls. They just own it, whatever “it” may be. Something, though, has been lost in translation.

In a smart Guardian piece, Jon Ronson profiles the former intern in middle age. The opening:

One night in London in 2005, a woman said a surprisingly eerie thing to Monica Lewinsky. Lewinsky had moved from New York a few days earlier to take a master’s in social psychology at the London School of Economics. On her first weekend, she went drinking with a woman she thought might become a friend. “But she suddenly said she knew really high-powered people,” Lewinsky says, “and I shouldn’t have come to London because I wasn’t wanted there.”

Lewinsky is telling me this story at a table in a quiet corner of a West Hollywood hotel. We had to pay extra for the table to be curtained off. It was my idea. If we hadn’t done it, passersby would probably have stared. Lewinsky would have noticed the stares and would have clammed up a little. “I’m hyper-aware of how other people may be perceiving me,” she says.

She’s tired and dressed in black. She just flew in from India and hasn’t had breakfast yet. We’ll talk for two hours, after which there’s only time for a quick teacake before she hurries to the airport to give a talk in Phoenix, Arizona, and spend the weekend with her father.

“Why did that woman in London say that to you?” I ask her.

“Oh, she’d had too much to drink,” Lewinsky replies. “It’s such a shame, because 99.9% of my experiences in England were positive, and she was an anomaly. I loved being in London, then and now. I was welcomed and accepted at LSE, by my professors and classmates. But when something hits a core trauma – I actually got really retriggered. After that I couldn’t go more than three days without thinking about the FBI sting that happened in ’98.”

Seven years earlier, on 16 January 1998, Lewinsky’s friend – an older work colleague called Linda Tripp – invited her for lunch at a mall in Washington DC. Lewinsky was 25. They’d been working together at the Pentagon for nearly two years, during which time Lewinsky had confided in her that she’d had an affair with President Bill Clinton. Unbeknown to Lewinsky, Tripp had been secretly recording their telephone conversations – more than 20 hours of them. The lunch was a trap.•

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Working with Artificial Intelligence isn’t for everyone, but it’s for far more people now than ever before. In a Bloomberg Technology piece about a small crew of programmers who created an application to read Japanese handwriting even though they themselves can’t, Pavel Alpeye points out that AI being “sold like a utility” has democratized such work, though I would add that it still helps to be really, really smart.

The opening:

Real-world artificial-intelligence applications are popping up in unexpected places—and much sooner than you might think.

While winning a game of Go might be impressive, machine intelligence is also evolving to the point where it can be used by more people to do more things. That’s how four engineers with almost zero knowledge of Japanese were able to create software, in just a few months, that can decipher handwriting in the language.

The programmers at Reactive Inc. came up with an application that recognizes scrawled-out Japanese with 98.66 percent accuracy. The 18-month-old startup in Tokyo is part of a growing global community of coders and investors who are harnessing the power of neural networks to put AI to far more practical purposes than answering trivia or winning board games. 

“Just a few years ago, you had to be a genius to do this,” said David Malkin, who has a Ph.D. in machine learning but can barely string two Japanese sentences together. “Now you can be a reasonably smart guy and make useful stuff. Going forward, it will be more about using imagination to apply this to real business situations.”

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Earlier today, I posted a piece about Russian entrepreneur Yuri Milner, who’s bankrolling an attempt at an unpeopled reconnaissance mission to Alpha Centauri. A techno-optimist the way most high flyers in Silicon Valley are, Milner believes our increasing connectedness, including the Internet of Things, will bring about a more prosperous world–even a “global brain,” which will unite us all and serve as a “global central nervous system.” That new wealth may be distributed very unevenly, but the wholesale connectivity will likely arrive sooner than later. It will be both boon and bane.

From a Reuters report Chrystia Freeland filed in 2001, just twelve days after the 9/11 attacks:

Milner almost perfectly represents a global technology elite whose frame of reference is planet Earth. He mostly lives in Moscow, but has recently purchased a palatial home in Silicon Valley. He addressed the Ukrainian conference by video link from Singapore.

From that vantage point, the most pressing issue in the world today isn’t recession and political paralysis in the West, or even the rapid development and political transformation in emerging markets, it is the technology revolution, which, in Mr. Milner’s view, is only getting started. Here are the changes he thinks are most significant:

• The Internet revolution is the fastest economic change humans have experienced, and it is accelerating. Mr. Milner said two billion people are online today. Over the next decade, he predicts that that number will more than double.

• The Internet is not just about connecting people, it is also about connecting machines, a phenomenon Mr. Milner dubbed “the Internet of things.” Mr. Milner said that five billion devices are connected today. By 2020, he thinks more than 20 billion will be.

• More information is being created than ever before. Mr. Milner asserted that as much information was created every 48 hours in 2010 as was created between the dawn of time and 2003. By 2020, that same volume of information will be generated every 60 minutes.

• People are sharing information ever more frequently. The pieces of content shared on Facebook have increased from 140 million in 2009 to 4 billion in 2011. We are even sending more e-mails: 50 billion were sent in 2006, versus 300 billion in 2010.

• The result, according to Mr. Milner, is the dominance of Internet platforms relative to traditional media. “The largest newspaper in the United States is only reaching 1 percent of the population.” he said. “That compares to Internet media, which is used by 25 percent of the population daily and growing.”

• Internet businesses are much more efficient than brick-and-mortar companies. This was one of Mr. Milner’s most striking observations, and a clue to the paradox of how we find ourselves simultaneously living in a time of what Mr. Milner views as unprecedented technological innovation but also high unemployment in the developed West. As Mr. Milner said, “Big Internet companies on average are capable of generating revenue of $1 million per employee, and that compares to 10 to 20 percent of that which is normally generated by traditional offline businesses of comparable size.” As an illustration, Mr. Milner cited Facebook, where, he said, each single engineer supports one million users.

• Artificial intelligence is part of our daily lives, and its power is growing. Mr. Milner cited everyday examples like Amazon.com’s recommendation of books based on ones we have already read and Google’s constantly improving search algorithm.

• Finally — and Mr. Milner admitted this was “a bit of a futuristic picture” — he predicted “the emergence of the global brain, which consists of all the humans connected to each other and to the machine and interacting in a very unique and profound way, creating an intelligence that does not belong to any single human being or computer.”

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Online anarchy did not begin with the World Wide Web. More than a decade before Sir Timothy Berners-Lee’s cat-meme-and-fetish-porn-enabling gift, the Internet got its first real taste of widespread hacking. That was in 1983.

We reflect with respect on the phone phreaks who preceded these Reagan Era interlopers. John Draper (aka “Captain Crunch”), the teenaged Steve Jobs and Steve Wozniak and other blue-box builders are credited with giving birth to a personal-computing culture that’s transformed the world. Their Internet progeny were not held in the same esteem, despite operating in an era before hacking laws existed.

In the early 1980s, the 414s and the Inner Circle, American teen hackers, were the subject of mass arrests for breaching government and corporate accounts. They mostly did so just to prove they could, not apparently with any malicious intent, but that hardly mattered when their garages and bedrooms were stormed by Feds.

The immediate aftermath in court was covered by the New York Times:

MILWAUKEE, March 16— Two young men who broke into large computers in the United States and Canada last June, simply to prove they could do it, have pleaded guilty to two misdemeanor charges, according to documents filed today in Federal District Court.

Eric Klumb, an Assistant United States Attorney, said it was the first such computer crime case in which the motive was not financial gain.

Gerald Wondra of West Allis, Wis., and Timothy D. Winslow of Milwaukee, both 21 years old, agreed to plead guilty to two counts each of making harassing telephone calls. Both are members of a loosely knit group of computer enthusiasts called the ”414’s,” after Milwaukee’s telephone area code. 

By charging the two, Mr. Klumb said he thought other computer enthusiasts might be deterred from similar intrusions.•

In an excellent Paleofuture post, Matt Novak recalls the watershed event and analyzes its fallout. An excerpt about one of the arrestees, Bill Landreth, the son of hippies whose dad was a financially struggling grow-lamp inventor:

When I met Bill Landreth at a Starbucks in Santa Monica, he was sitting quietly at a table drinking coffee with two bags on the the seat across from him, and a bag of blankets in the corner. A pipe made out of an apple and filled with what I assumed was medical marijuana sat at the table next to his coffee and Samsung tablet. A passing cop glanced at the spread but didn’t raise an eyebrow.

Arranging our meeting was tricky, because Bill isn’t sure where he’ll be sleeping from night to night. Now 52, with a slight goatee and a tussle of wavy hair that nearly reaches his shoulders, Bill has been living on the streets for 30 years. But if it weren’t for his receding hairline and a certain grayness to his gaze, he’d probably pass for a decade younger. There’s something assertive yet firmly guarded about the way he speaks. It’s as though Bill’s a man who’s not afraid to say what he thinks, but still worries about saying something out of line in front of me.

In our conversation, he was calm, affable, and clearly intelligent, and almost immediately began rattling off computers and computing languages of which I have little to no background or understanding.

Bill got his first computer in 1980, he tells me. It was a TRS-80 from RadioShack. He was 14 or 15, and explains that he planned to get the version with 8K of memory using $500 he had saved. His dad offered to pitch in another $500, and he got the 16K version with a cassette tape drive for storage. He also picked up a 300 baud modem.

Bill was a quick learner, and developed a knack for the BASIC programming language. From there he’d learn other languages, and his desire to explore the world of computing became overpowering.

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At the beginning of 2015, the great fiction writer Ken Kalfus suggested we take a deep breath before attempting to colonize Mars and instead send a human-less probe to Alpha Centauri. It would be a gift to our descendants, and in the meanwhile we could take a more sober approach to relocating humans into space.

Kalfus’ vision might be realized thanks to the largesse of Yuri Milner, one of those modern Russian entrepreneurs so awash in wealth and next-level technology that they can dream the biggest dreams when tiring of mansions and yachts, ones formerly only possible for states, like creating “global brains” and exploring space. 

In a New York Times article, the excellent Dennis Overbye writes of the proposed mission, in which Milner is partnering with Stephen Hawking, among others. The opening:

Can you fly an iPhone to the stars?

In an attempt to leapfrog the planets and vault into the interstellar age, a bevy of scientists and other luminaries from Silicon Valley and beyond, led by Yuri Milner, a Russian philanthropist and Internet entrepreneur, announced a plan on Tuesday to send a fleet of robot spacecraft no bigger than iPhones to Alpha Centauri, the nearest star system, 4.37 light-years away.

If it all worked out — a cosmically big “if” that would occur decades and perhaps $10 billion from now — a rocket would deliver a “mother ship” carrying a thousand or so small probes to space. Once in orbit, the probes would unfold thin sails and then, propelled by powerful laser beams from Earth, set off one by one like a flock of migrating butterflies across the universe.

Within two minutes, the probes would be more than 600,000 miles from home — as far as the lasers could maintain a tight beam — and moving at a fifth of the speed of light. But it would still take 20 years for them to get to Alpha Centauri. Those that survived would zip past the star system, making measurements and beaming pictures back to Earth.

Much of this plan is probably half a lifetime away.•

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When you’re a baseball team with a poorly situated airship hangar of a stadium and the game’s worst attendance, finances are limited, even with revenue sharing. That’s an apt description of the Tampa Bay Rays, a club that thrived during the Andrew Friedman years on victories in the margins–the extra 2%. The organization is still, post-Friedman, looking for incremental gains, with Virtual Reality batting practice part of the future-forward approach. A handful of other clubs are also testing the hardware, which is in an experimental phase now, though it holds promise.

From Marc Topkin of the Tampa Bay Times:

To use the system, Rays players put on high-tech goggles and stand in or at or behind a plate as the specific pitcher they request is shown on a screen throwing his various pitches in true detailed form.

For example, [Steven] Souza — who prefers to stand in the catcher’s position for a straight-on view — said he can get a detailed read on the break on pitches, detect slight changes in release point and get a better sense of the pitcher’s timing.

“It’s as close as you’re going to get to standing in there,” he said.

“It’s pretty neat,” said catcher Curt Casali, another user. “It’s one of the more advanced scouting tools I’ve ever seen.”

Third baseman Evan Longoria has also tried it but is not as sold on the immediate benefits of the system, which is set up in the room with the batting cage near the Rays clubhouse.

“I think over the next year or two we’ll see a lot of fine-tuning to it,” he said. “I think it’s kind of crude right now, but I don’t dispel that there could be some benefits there.”•

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If I was Gay Talese, I would have called the police.

The legendary journalist was contacted several decades ago by motel-owning Colorado voyeur Gerald Foos, who spied on his guests’ sexual behavior through vents of his own design carefully hidden atop the rooms. The peeping Tom rationalized his aberrant behavior by assuming the mantle of science, believing himself more Kinsey than kinky. It was self-deception–the cataloging of couplings, the sociological musings he attached to the private acts he’d witnessed, the whole thing. What’s worse is his actions unintentionally triggered a murder, which he watched from above, like a god not given to interfering in the lives of mere mortals. His story is an extreme psychological portrait, but one that doesn’t seem especially relatable even in this age of ubiquitous cameras. Most perverts still draw the line at consent. The ones who don’t, like those who downloaded naked photos of Erin Andrews or hacked selfies from the “Fappening,” can’t talk away their intrusions as Foos does (e.g., the spied upon will never learn they were victimized).

Talese was along for the ride, not only reading the lusty ledgers and allowing the invasions of privacy to continue apace, but also having a peep or two himself during a visit to Aurora. When he finds out about the killing, he still doesn’t turn in Foos, living up to their initial contract that commanded the writer would never speak of his subject’s conduct. Clearly, though, it wasn’t paper but curiosity and fear that guided the reporter’s suspect behavior. “Where was I in all this?” Talese asks near end of his New Yorker article about the experience, but I don’t think he gets to answer that question.

An excerpt:

What he saw was a murder. It occurred in Room 10.

He described the occupants as a young couple who had rented a room for several weeks. The man, in his late twenties, was about a hundred and eighty pounds. The Voyeur deduced from his eavesdropping that he was a college dropout and a small-time drug dealer. The girl was blond, with a 34D bust. (Foos had gone into the room while the couple was out and checked her bra size, something he says he did often.) Foos devoted pages and pages to an approving account of the couple’s vigorous sex life. The journal also described people coming to the door of Room 10 to buy drugs. This upset Foos, but he did not notify the police. In the past, he had reported drug dealing in his motel when he saw it, but the police took no action, because he could not identify himself as an eyewitness to his complaints.

One afternoon, Foos saw the man in Room 10 sell drugs to a few young boys. This incensed him. He wrote in the journal, “After the male subject left the room that afternoon, the voyeur entered his room. . . . The voyeur, without any guilt, silently flushed all the remaining drugs and marijuana down the toilet.” He had flushed motel guests’ drugs several times before, with no repercussions.

This time, the man in Room 10 accused his girlfriend of stealing the drugs. The journal continues:

After fighting and arguing for about one hour, the scene below the voyeur turned to violence. The male subject grabbed the female subject by the neck and strangled her until she fell unconscious to the floor. The male subject, then in a panic, picked up all his things and fled the vicinity of the motel.

The voyeur . . . without doubt . . . could see the chest of the female subject moving, which indicated to the voyeur that she was still alive and therefore O.K. So, the voyeur was convinced in his own mind that the female subject had survived the strangulation assault and would be all right, and he swiftly departed the observation platform for the evening.

Foos reasoned that he couldn’t do anything anyway, “because at this moment in time he was only an observer and not a reporter, and really didn’t exist as far as the male and female subjects were concerned.”

The next morning, a maid ran into the motel office and said that a woman was dead in Room 10. Foos wrote that he immediately called the police. When officers arrived, he gave them the drug dealer’s name, his description, and his license-plate number. He did not say that he had witnessed the murder.

Foos wrote, “The voyeur had finally come to grips with his own morality and would have to forever suffer in silence, but he would never condemn his conduct or behavior in this situation.”

The next day, the police returned and told Foos that the drug dealer had been using a fake name and had been driving a stolen car.

I came upon this account in Foos’s typescript a few years after I’d visited him in Aurora—and nearly six years after the murder. I was shocked, and surprised that Foos had not mentioned the incident to me earlier. It almost seemed as if he regarded it as just another day in the attic. But, as I thought about it, his response—the observation that he “really didn’t exist as far as the male and female subjects were concerned”—was consistent with his sense of himself as a fractured individual. He was also desperately protective of his secret life in the attic. If the police had grilled him and decided that he knew more than he was telling, they might have obtained a search warrant, and the consequences could have been catastrophic.

I called Foos right away to ask about the situation. I wanted to find out whether he realized that, in addition to witnessing a murder, he might have, in some way, caused it.

He was reluctant to say more than he had written in his journal, and he reminded me that I had signed a confidentiality agreement. I spent a few sleepless nights, asking myself whether I ought to turn Foos in. But I reasoned that it was too late to save the drug dealer’s girlfriend. Also, since I had kept the Voyeur’s secret, I felt worrisomely like a co-conspirator.•

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Alec Ross, author of The Industries of the Future, was asked in a Knowledge@Wharton interview about the next wave of work and wealth, and he echoed the sentiment in Tyler Cowen’s Average Is Over, noting that only those committed to continued education and possessing a flexible spirit will get ahead. Well, that’s good to know, but one obvious thing that often goes unmentioned in these discussions is what happens to the very large number of people who won’t be able to adapt to rapid change and do get left behind. That’s likely and must somehow be addressed. 

An excerpt:

Question:

As robots and codification and all of these other industries that you identify in the book become more prominent, how do you feel that’s going to change the world balance of power? How does that change the global economy and who has power and who doesn’t?

Alec Ross:

That’s a tremendous question. First of all, I’d put it into a certain kind of binary. The first is within the architecture of the 196 sovereign nation states, and the second is within those nation states, what kinds of individuals do well and what kinds of individuals do poorly.

You can live in a country that is prospering, but you can be doing very well or you could be doing very poorly. Or you could be living in a country that’s floundering, and you might be able to be doing pretty well. The principle political and economic binary of the 20th century was right versus left. In the 21st century, I think it’s open versus closed, defining open as upward economic mobility not confined to elites; social and cultural and religious norms not set from a central authority and broadly rights respecting for women, minorities of all type and what have you.

I believe that the centers of innovation and the wealth creation and job creation that come from that will be in the more open societies for the industries of the future. People conglomerating around what will probably be ten to 15 major centers over the next fifteen years. We already see this in development now. The more open societies will be those that compete and succeed most effectively.

Looking at this on an individual level, it’s going to be a terrible time to be mediocre at your job if you’re in a high-cost labor market. It’s an absolutely brutal truth. When people in Baltimore are competing against people in Bangalore, not just based on cost of labor but also quality of labor, which is now increasingly going to be the case, being more middle class or working class in the United States or Western Europe isn’t going to mean you’re starting life on second base to the degree that it did in the past.

You’ve got to be a committed lifelong learner. You’ve got to be adaptable. Otherwise you’re going to be left behind even if your country is producing substantial growth.•

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Two excerpts follow from 1960s Psychedelic Review articles about the drug culture of that era, penned by Timothy Leary and Stewart Brand.


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Before there was turnt, there was turned-on, the term for LSD experimentation taken from the Timothy Leary-Marshall McLuhan co-created mantra “Turn on, Tune in, Drop Out.” Thanks to some fakakta reasoning, Leary was allowed, during his Harvard professor days, to do acid tests on Massachusetts prison inmates, the belief being that the trip would help them arrive at rehabilitation. The subjects were wary of the good doctor, and for good reason, though by Leary’s telling everything went well overall. The guru recalled the experience in an article in the 1969 Psychedelic Review. An excerpt:

I’ll never forget that morning. After about half an hour, I could feel the effect coming up, the loosening of symbolic reality, the feeling of humming pressure and space voyage inside my head, the sharp, brilliant, brutal, intensification of all the senses. Every cell and every sense organ was humming with charged electricity. I felt terrible. What a place to be on a gray morning! In a dingy room, in a grim penitentiary, out of my mind. I looked over at the man next to me, a Polish embezzler from Worcester, Massachusetts. I could see him so clearly. I could see every pore in his face, every blemish, the hairs in his nose, the incredible green-yellow enamel of the decay in his teeth, the wet glistening of his frightened eyes. I could see every hair in his head, as though each was as big as an oak tree. What a confrontation! What am I doing here, out of my mind, with this strange mosaic-celled animal, prisoner, criminal?

I said to him, with a weak grin, How are you doing, John? He said, I feel fine. Then he paused for a minute, and asked, How are you doing, Doc? I was about to say in a reassuring psychological tone that I felt fine, but I couldn’t, so I said, I feel lousy. John drew back his purple pink lips, showed his green-yellow teeth in a sickly grin and said, What’s the matter, Doc? Why you feel lousy? I looked with my two microscopic retina lenses into his eyes. I could see every line, yellow spider webs, red network of veins gleaming out at me. I said, John, I’m afraid of you. His eyes got bigger, then he began to laugh. I could look inside his mouth, swollen red tissues, gums, tongue, throat. Well that’s funny Doc, ’cause I’m afraid of you. We were both smiling at this point, leaning forward. Doc, he said, why are you afraid of me? I said, I’m afraid of you, John, because you’re a criminal. I said, John, why are you afraid of me? He said, I’m afraid of you Doc because you’re a mad scientist. Then our retinas locked and I slid down into the tunnel of his eyes, and I could feel him walking around in my skull and we both began to laugh. And there it was, that dark moment of fear and distrust, which could have changed in a second to become hatred, terror. We’d made the love connection. The flicker in the dark. Suddenly, the sun came out in the room and I felt great and I knew he did too.

We had passed that moment of crisis, but as the minutes slowly ticked on, the grimness of our situation kept coming back in microscopic clarity. There were the four of us turned-on, every sense vibrating, pulsating with messages, two billion years of cellular wisdom, but what could we do trapped within the four walls of a gray hospital room, barred inside a maximum security prison? Then one of the great lessons in my psychedelic training took place. One of the four of us was a Negro from Texas, jazz saxophone player, heroin addict. He looked around with two huge balls of ocular white, shook his head, staggered over to the record player, put on a record. It was a Sonny Rollins record which he’d especially asked us to bring. Then he lay down on the cot and closed his eyes. The rest of us sat by the table while metal air from the yellow saxophone, spinning across copper electric wires, bounced off the wails of the room. There was a long silence. Then we heard Willy moaning softly, and moving restlessly on the couch. I turned and looked at him, and said, Willy, are you all right? There was apprehension in my voice. Everyone in the room swung their heads anxiously to look and listen for the answer. Willy lifted his head, gave a big grin, and said, Man, am I all right? I’m in heaven and I can’t believe it! Here I am in heaven man, and I’m stoned out of my mind, and I’m swinging like I’ve never before and it’s all happening in prison, and you ask me man, am I all right. What a laugh! And then he laughed, and we all laughed, and suddenly we were all high and happy and chuckling at what we had done, bringing music, and love, and beauty, and serenity, and fun, and the seed of life into that grim and dreary prison. …

As I rode along the highway, the tension and the drama of the day suddenly snapped off and I could look back and see what we had done. Nothing, you see, is secret in prison, and the eight of us who had assembled to take drugs together in a prison were under the gaze of every convict in the prison and every guard, and within hours the word would have fanned through the invisible network to every other prison in the state. Grim Walpole penitentiary. Grey, sullen-walled Norfolk.

Did you hear? Some Harvard professors gave a new drug to some guys at Concord. They had a ball. It was great. It’s a grand thing. It’s something new. Hope. Maybe. Hope. Perhaps. Something new. We sure need something new. Hope.•


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Peyote has historically been central to the Native American church meeting. In a 1967 Psychedelic Review article, Stewart Brand, Prankster and prophet, wrote of one such congregation he attended. An excerpt:

The meeting is mandala-form, a circle with a doorway to the east. The roadman will sit opposite the door, the moon-crescent altar in front of him. To his left sits the cedarman, to his right the drummer. On the right side as you enter will be the fireman. The people sit around the circle. In the middle is the fire.

A while after dark they go in. This may be formal, filling in clockwise around the circle in order. The roadman may pray outside beforehand, asking that the place and the people and the occasion be blessed.

Beginning a meeting is as conscious and routine as a space launch countdown. At this time the fireman is busy starting the fire and seeing that things and people are in their places. The cedarman drops a little powder of cedar needles and little balls, goes down the quickest. In all cases, the white fluff should be removed. There is usually a pot of peyote tea, kept near the fire, which is passed occasionally during the night. Each person takes as much medicine as he wants and can ask for more at any time. Four buttons is a common start. Women usually take less than the men. Children have only a little, unless they are sick. 

Everything is happening briskly at this point. People swallow and pass the peyote with minimum fuss. The drummer and roadman go right into the starting song. The roadman, kneeling on one or both knees, begins it with the rattle in his right hand. The drummer picks up the quick beat, and the roadman gently begins the song. His left hand holds the staff, a feather fan, and some sage. He sings four times, ending each section with a steady quick rattle as a signal for the drummer to pause or re-wet the drumhead before resuming the beat. Using his thumb on the drumhead, the drummer adjusts the beat of his song. When the roadman finishes he passes the staff, gourd, fan and sage to the cedarman, who sings four times with the random drumming. So it goes, the drum following the staff to the left around the circle, so each man sings and drums many times during the night.•

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I’ve always traced the War on Drugs in the U.S. to the Nixon Administration, but British journalist Johann Hari, author of the book Chasing the Scream, dates it to the end of Prohibition, particularly to bureaucrat Harry Anslinger, a stern-faced Fed who looked like Mussolini as played by George C. Scott, who later mentored Sheriff Joe Arpaio of Tent City infamy. Hari also reveals how intertwined crackdown was (and is) with racism. No shocker there.

The so-called War has been a huge failure tactically and financially and has criminalized citizens for no good reason. All the while, there’s been a tacit understanding that millions of Americans are hooked on Oxy and the like, dousing their pain with a perfectly legal script. These folks are far worse off than pot smokers, but it’s the latter who are still afoul of the law in most states. I’m personally completely opposed to recreational drug use, but I feel even more contempt for the War on Drugs. It’s done far more harm than good. Decriminalize drugs that can be used in moderation, send users of harder drugs to rehab and only imprison those selling drugs to minors. It’s not ideal, but I think it’s a far saner solution. Or try something else; just make it less destructive.

From a LARB Q&A David Breithaupt conducted with Hari, an excerpt about the groups that inspired Anslinger’s folly, a seemingly never-ending waterloo:

He built the war on drugs around the three groups he hated most. The first was African-Americans. This is a man who was so racist that he was regarded as crazily so during the 1920s. His own Senator said he should have to resign because he used the “N word” so much in official memos. He believed that drugs were deranging African-Americans and leading them to attack whites and impregnate white women.

The second group was drug addicts. Anslinger believed that addicts were “contagious” and had to be “quarantined” — cut off from the rest of humanity. These first two groups came together, in his mind, in the form of the great jazz singer, Billie Holiday, who was his worst nightmare: a drug-addicted African-American woman challenging white supremacy. He was obsessed with her. In the book, I tell the story of how he stalked her, playing a key role in her death. The story of how Billie — and so many other Americans at the time — resisted Anslinger and the early drug war is one of the most inspiring I know.

The third group Anslinger hated was the Mafia. And here’s a complexity to the story: he was one of the first senior figures in federal government to realize the Mafia was real. It’s hard to believe now, but the Mafia was seen as an urban myth — like Bigfoot or the Loch Ness Monster. But Anslinger had met these wiseguys as a young man. He knew they were real, and he wanted to destroy them. The tragedy is that the policy he believed would destroy them — drug prohibition — was, in fact, the biggest gift they received in the 20th century. He transferred the enormous industry in drugs from the people who used to control it — doctors and pharmacists — into the hands of organized crime. That’s what prohibition does. Milton Friedman, the Nobel Prize-winning economist, said: “Al Capone was the product of alcohol prohibition. The Crips and the Bloods [and, he might well have added, Pablo Escobar and El Chapo] are the product of drug prohibition.”•

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I’ve mentioned before that the final 5% of perfecting driverless cars will be likely be more difficult than the first 95%. Those final digits make all the difference, of course, since, while aspects of automation can be useful, the technology is only transformational if it allows drivers to become passengers. When we can take our hands off the wheel and eyes off the road, the effects on the highway and the economy will be seismic. Consumers will probably have cheap rides a smartphone message away, and truckers, hacks and delivery people may be out of a job.

In a New Statesman article, Christian Wolmar argues that autonomous is a myth and that we will never own driverless cars. Well, someone will someday since nothing about the technology is theoretically impossible, even if the final strides of the marathon are arduous. His argument that driverless cars are as likely as jetpacks seems an exaggeration and his proof not entirely convincing. An excerpt:

The driverless car does not stand up to scrutiny. When pressed, Musk conceded that the “fully autonomous” car that he said would be ready by 2018 would not be completely automatic, nor would it go on general sale. There is a pattern. Whenever I ask people in the field what we can expect by a certain date, it never amounts to anything like a fully autonomous vehicle but rather a set of aids for drivers.

This is a crucial distinction. For this technology to be transformational, the cars have to be 100 per cent autonomous. It is worse than useless if the “driver” has to watch over the controls, ready to take over if an incident seems likely to occur. Such a future would be more dangerous than the present, as our driving skills will have diminished, leaving us less able to react. Google notes that it can take up to 17 seconds for a person to respond to alerts of a situation requiring him or her to assume control of the vehicle.

What is this technology for? The widespread assumption that driverless cars will be a shared resource, like the London Santander Cycles, is groundless. People like owning their personal vehicle because it is always available and can be customised to ensure that the child seat is properly in place and the radio tuned to Magic. Google may be right that a few parking lots will become redundant but it has no answer for the possibility that autonomy will encourage more vehicles on to the road.

The danger of all the hype is that politicians will assume that the driverless revolution obviates the need to search for solutions to more urgent problems, such as congestion and pollution. Why bother
to build infrastructure, such as new Tube lines or tram systems, or to push for road pricing, if we’ll all end up in autonomous pods? Google all but confesses that its autonomous cars are intended to be an alternative to public transport – the opposite of a rational solution to the problems that we face.•

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Capitalism will be just fine, though we’re fucked, very fucked.

In all seriousness, I think economic systems will look very different in the year 2100, when the vast majority of us are gone. 3D printing may have a huge impact on manufacturing, decentralizing it the way media has been. Scarcity-reducing automation will also be a great boon and bane simultaneously, taking much drudgery from our hands–but also paychecks. AI and robotics may not be destabilizing only for workers but for capital as well. Why, exactly, would anyone need to own a fleet of driverless cars or a lights-out factory? Couldn’t such outfits be self-owned and self-sustained?

But while markets will probably be very different, I think they’re stubborn things. I don’t believe they began as an accident but because of something deeply embedded in us–something evolutionary. They may be transformed, but I would guess they’ll persist.

Economic sociologist Wolfgang Streeck is far more dubious about the future of capitalism, believing we’re watching the system run aground. The title of his recent essay in the Socio-Economic Review doesn’t mince words: “On the Dismal Future of Capitalism.” The opening:

The writing is on the wall, and has been for some time; we must only learn to read it. The message is: capitalism is a historical social formation; it has not just a beginning but also an end.1 Three trends have run in parallel since the 1970s, throughout the family of rich capitalist democracies: declining growth, rising inequality of income and wealth and rising debt—public, private and total. Today the three seem to have become mutually reinforcing: low growth contributes to inequality by intensifying distributional conflict; inequality dampens growth by curbing effective demand; high levels of existing debt clog credit markets and increase the risk of financial crises; an overgrown financial sector both results from and adds to economic inequality etc. Already the last growth cycle before 2008 was more fake than real2 and post-2008 recovery remains anaemic at best, also because Keynesian stimulus, monetary or fiscal, fails to work in the face of unprecedented amounts of accumulated debt. Note that we are talking about long-term trends, not just a momentary unfortunate coincidence, and indeed about global trends, affecting the capitalist system as a whole and as such. Nothing is in sight that seems only nearly powerful enough to break the three trends, deeply ingrained and densely intertwined as they have become.

Moreover, looking back we see a sequence of political-economic crises that began with in- flation in the 1970s, followed by an explosion of public debt in the 1980s and by rapidly rising private debt in the subsequent decade, resulting in the collapse of financial markets in 2008. This sequence, again, was by and large the same for all major capitalist countries, whose economies have never really been in equilibrium since the end of postwar growth. All three crises began and ended in the same way: inflation, public debt and private debt initially served as expedient political solutions to distributional conflicts between capital and labour (and sometimes third parties such as raw material producers), until they became problems themselves: inflation in the early 1980s, public debt in a first consolidation phase in the 1990s, and private debt after 2008. Today’s political fix is called ‘quantitative easing’: essentially the printing of money by treasuries and central banks to keep interest rates down and accumulated debt sustainable, as well as prevent a stagnant economy from sliding into deflation, at the price of more inequality and of new bubbles in asset markets building and, eventually, collapsing.

The fundamental nature of the crisis is reflected in the extent to which the captains of capitalism have lost orientation and find themselves reduced to devising ever new provisional stopgaps until the next unpleasant surprise catches up with them. The wizards have become clueless. How long can quantitative easing go on? Is deflation the problem or inflation? How does one know a bubble before it blows up? Is growth restored through spending or through cutting back on spending? Is stricter financial regulation conducive or harmful to growth? Until the mid-1970s, growth was to result from redistribution from the top to the bottom; then, when Keynesianism was succeeded by Hayekianism, the opposite was true and markets were to be set free to redistribute from the bottom to the top. Now, seven years after the disaster of 2008, there is still no new growth formula and confusion rules the day. State-administered capitalism has failed—that is, was rejected by the owners of capital as too costly for them, to be replaced with free-market capitalism, which has also failed. For the time being, central banks act as regents waiting for a new ruler. But who would this be, and what would be his recipe for holding the capitalist enterprise together?

I suggest that after more than 200 years, capitalism has become unsustainable as a result of having become ungovernable.•

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America is no doubt plagued by ridiculous wealth inequality, but China, an authoritarian capitalist state, is no slouch in this area. There are copious reason for multimillionaires and billionaires minted in that nation to want to move their loved ones abroad, and one is that many of the industries that have enabled their filthy lucre have also blighted their homeland. These captains of industry have used their windfalls to disappear their children from the world’s highest cancer rates and unbreathable air, stashing them in America or Canada, where their conspicuous spending has heretofore received fewer sideways glances than it would have in the motherland. 

The Chinese elite and their super-rich kids (the “Golden Generation“) have left a mark on the cost of living in Vancouver in much the same way that money from abroad has made New York City all but unlivable for much of the 99%. Dan Levin of the NYT has a smart article about the lush life of “fuerdai” inside British Columbia’s largest city. An excerpt:

Many of Vancouver’s young supercar owners are known as fuerdai, a Mandarin expression, akin to trust-fund kids, that means “rich second generation.” In China, where the superrich are widely criticized as being corrupt and materialistic, the term provokes a mix of scorn and envy.

The fuerdai have brought their passion for extravagance to Vancouver. White Lamborghinis are popular among young Chinese women; the men often turn in their leased supercars after a few months for a newer, cooler status symbol.

Hundreds of young Chinese immigrants, along with a handful of Canadian-born Chinese, have started supercar clubs whose members come together to drive, modify and photograph their flashy vehicles, providing alluring eye candy for their followers on social media.

The Vancouver Dynamic Auto Club has 440 members, 90 percent of whom are from China, said the group’s 27-year-old founder, David Dai. To join, a member must have a car that costs over 100,000 Canadian dollars, or about $77,000. “They don’t work,” Mr. Dai said of Vancouver’s fuerdai. “They just spend their parents’ money.”

Occasionally, the need for speed hits a roadblock. In 2011, the police impounded a squadron of 13 Lamborghinis, Maseratis and other luxury cars, worth $2 million, for racing on a metropolitan Vancouver highway at 125 miles per hour. The drivers were members of a Chinese supercar club, and none were older than 21, according to news reports at the time.

On a recent evening, an overwhelmingly Chinese crowd of young adults had gathered at an invitation-only Rolls-Royce event to see a new black-and-red Dawn convertible, base price $402,000. It is the only such car in North America.

Among the curious was Jin Qiao, 20, a baby-faced art student who moved to Vancouver from Beijing six years ago with his mother. During the week, Mr. Jin drives one of two Mercedes-Benz S.U.V.s, which he said were better suited for the rigors of daily life.

But his most prized possession is a $600,000 Lamborghini Aventador Roadster Galaxy, its exterior custom wrapped to resemble outer space.

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Parallel to the dream of robotizing and automating warfare is one in which supersoldiers are created through PEDs, technological add-ons and implants, and genetic modification. Neither vision is anything new, of course. Case in point: Vietnam is considered the first drug-fueled American war, with what’s politely described as “pep pills” and other pharmaceuticals being popped like Pez. Of course, this crude, foolhardy experimentation may have dulled the pain at the moment, but it was really just delaying the inevitable.

The Atlantic has published a piece adapted from Lukasz Kamienski’s book, Shooting Up: A Short History of Drugs and War. The opening:

Some historians call Vietnam the “last modern war,” others the “first postmodern war.” Either way, it was irregular: Vietnam was not a conventional war with the frontlines, rears, enemy mobilizing its forces for an attack, or a territory to be conquered and occupied. Instead, it was a formless conflict in which former strategic and tactical principles did not apply. The Vietcong were fighting in an unexpected, surprising, and deceptive way to negate Americans’ strengths and exploit their weaknesses, making the Vietnam War perhaps the best example of asymmetrical warfare of the 20th century.

The conflict was distinct in another way, too—over time, it came to be known as the first “pharmacological war,” so called because the level of consumption of psychoactive substances by military personnel was unprecedented in American history. The British philosopher Nick Land aptly described the Vietnam War as “a decisive point of intersection between pharmacology and the technology of violence.”•

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Steve Case won’t be around to read his obituary, which is probably a good thing.

It would no doubt pain him that the lead will be the disastrous America Online-Time Warner merger, an attempt at synergy that wound up a lose-lose of historic proportions. Case, then the AOL CEO, bet on old media at a time when he needed to walk even more boldly into the future with the Internet. It was one step backwards, and he lost his leg.

AOL has long been done as a major player in any sector, but Case continues apace, with entrepreneurial endeavors and charitable work. Steven Levy just interviewed him about his book, The Third Wave: An Entrepreneur’s Vision of the Future, an attempt to predict what comes after Web 1.0 and 2.0. The journalist ventures into an apt topic in this insane political season: If technology has gifted us with more information than ever, why does the public seem less informed?

An excerpt:

Steven Levy:

In the book you include a very prescient statement you made after graduating college in the early 1980s about how technology would affect our lives. We have been transformed by all sorts of gadgets and networks that augment our powers. But judging from the current election process, it doesn’t seem to have made people smarter. You could even make a case for the opposite, saying people are dumber — anti-science, and more susceptible to mob thinking than they used to be.

Steve Case:

That’s fair. One of the things we felt passionate about 30 years ago was leveling the playing field so that everybody can have a voice. Back then when there were three television networks, unless you were rich and owned a printing press, you didn’t really have the opportunity to have your voice heard. Having millions of voices heard is awesome, but it gets noisy and some people are saying things that are inaccurate and not constructive and worse. There is absolutely this dynamic, of people living in a filtered bubble, hearing voices that reinforce their views and not really being exposed to the views of other people. That drives this hyper partisanship. I’m very concerned about it. We need to figure how to rebuild a center. Compromise should become a good word, not a bad word.

Steven Levy:

Has technology made it harder to find compromise?

Steve Case:

It has. In high school I wouldn’t have said this, but also sometimes to reach compromise you have to have a quiet discussion and cut a deal. When you have to have those negotiations, essentially in public, and talking points and sound bites on two-minute cable TV, things get noisier and it gets less constructive. With the current election, it is noisy and a little uncomfortable. The political process is getting disrupted.•

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At this point, the best Donald Trump can hope for is that his campaign goes down ingloriously in flames. The fire may not be metaphorical, however.

Remarkably unprepared–unwilling, even–to lead, the troll can only dream of the appearance of the Republican nomination being “stolen” from him should he not secure a majority of delegates. His thuggish Presidential bid, a crude and racist joke that got out of hand, may yet ball itself into a big fist that’s unleashed at the GOP convention, the misdemeanors of the trail escalating into felonies.

Among the uniformly irresponsible members of the rogues’ gallery who serve as the hideous hotelier’s braintrust, the gutter-level political hack Roger Stone has already turned prepper for an End of Days scenario in Cleveland, unveiling the threats, only further reducing Trump to the appearance of John Gotti with a Southern strategy.

In a New Yorker piece by Evan Osnos, one of my favorite contemporary nonfiction writers, the journalist reminds that when it comes to this ugly campaign season, Trump didn’t build it alone. It took a village. But how was the mob activated? An excerpt:

It’s easy to mock Trump for his thin-skinned fixation on the size of his audiences, but that misses a deeper point: you can’t have a riot without a mob. Even before he was a candidate, Trump displayed a rare gift for cultivating the dark power of a crowd. In his role as the primary advocate of the “birther” fiction, he proved himself to be a maestro of the mob mentality, capable of conducting his fans through crescendos of rage and self-pity and suspicion. Speaking to the Times editorial board, in January, he said, “You know, if it gets a little boring, if I see people starting to sort of, maybe, thinking about leaving, I can sort of tell the audience, I just say, ‘We will build the wall!,’ and they go nuts.”

The symbiotic exchange between a leader and his mob can thrive on what social psychologists call “emotional contagion,” a hot-blooded feedback loop that the science writer Maggie Koerth-Baker describes as “our tendency to unconsciously mimic the outward expression of other people’s emotions (smiles, furrowed brows, leaning forward, etc.) until, inevitably, we begin to feel what they’re feeling.”

When we are exposed to the right energy, even those of us who are not inclined to cross the boundaries from politics to force will do things that we would ordinarily consider reprehensible. Stephen David Reicher, a sociologist and psychologist at the University of St. Andrews, in Scotland, who has studied soccer mobs and race riots, told Wired last month, “People don’t lose control, but they begin to act with collective values.” Recently, he has turned his attention to studying Trump’s crowds. “It’s not your individual fate that becomes important but the fate of the group.”

And therein lies the key to Trump’s ability to introduce menace into the convention: he does not need to call upon his supporters to do anything but protect their newfound sense of identity and purpose.•

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321portablejailcell

  • I’d probably have to surrender and watch TV if I noticed those binge-viewing shows becoming brilliant and noble, but I don’t. Do you?
  • People seem as stressed as entertained by the bonanza of TV and near-TV content the decentralized media has thrust upon us. It’s hard to keep up. Annoying, almost. Don’t tell me what happened on the last episode. I haven’t had time to watch it yet. There’s not enough time. Let’s not talk about it.
  • David Letterman used to say that he didn’t want television to be too good, to the point where you couldn’t ignore it. Maybe TV was better when it was worse.
  • Distancing yourself from the whole thing–no TV or Netflix or Amazon Prime–might as well make you from another planet today, and that’s the point. 
  • Unplugging in a larger sense from the Digital Age is really hard and will become pretty much impossible in the near future. We’re part of the way inside the machine and the Internet of Things will move us forever within. You will be counted. You’ll count.

In “Escaping the Superfuture,” Douglas Coupland’s recent Financial Times column, the writer-artist indulges in some 1990s nostalgia–hard to believe, right?–realizing there’s no eluding today, which feels an awful lot like tomorrow. “Human beings weren’t built for progress,” he offers. An excerpt:

Lately I’ve been experiencing a new temporal sensation that’s odd to articulate, but I do think is shared by most people. It’s this: until recently, the future was always something out there up ahead of us, something to anticipate or dread, but it was always away from the present.

But not any more. Somewhere in the past few years the present melted into the future. We’re now living inside the future 24/7 and this (weirdly electric and buzzy) sensation shows no sign of stopping — if anything, it grows ever more intense. Elsewhere I’ve labelled this experience “the extreme present” — or another label for this new realm might be “the superfuture”. In this superfuture I feel like I’m clamped into a temporal roller coaster and, at the crest of the first hill, I can see that my roller coaster actually runs off far into the horizon. Wait! How is this thing supposed to end?

Is it ever going to end? Help! I want a pill called 1995! I want a one-year holiday from change! But that’s not going to happen.

 . . . 

The future is always supposed to be a mess, isn’t it? I think it’s funny the way people have an almost impossible time envisioning a future that isn’t a dystopian waste-scape. Growing up in the 1970s, the year 2016 was to have been a wasteland populated by a rifle-toting Charlton Heston, zombies and the Statue of Liberty poking out of a beach. Both oil and fresh water would be non-existent. No politics; just anarchy. But by many measurable statistical standards, right now is the best time ever in our history . . . and yet mostly we bitch, complain and worry — it’s what we do as humans. I think the biggest surprise for a 1970s Rip Van Winkle awaking in 2016 might probably be oil: cheap and plentiful oil. Wait — how did that happen? And look at the variety and quality of produce in even the most dismal grocery store . . . and cars look smashing and don’t belch blue smoke and gays seem to be part of society at large. And . . . wait, this is 2016? Count me in!

 . . . 

It’s hard to accept that our new superfuture mind state is permanent and that it’s not going away — how could it? Our devices that cause it aren’t going to go away. They’ll just get better and faster and we’re going to embed ourselves in the superfuture ever more deeply.•

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A common obstacle when imagining the distant future is that we impose bold potential realities onto our contemporary world, with our current tools and psychological makeup. The former makes tomorrow seem impossible and the latter frightening. But we’ll be different then, in almost every way.

In a fascinating Aeon essay about the colonization of space, Paul Gilster doesn’t fall into that trap, extrapolating the whole world forward into a different age, when we can populate a plethora of planets. The writer believes such an arrangement will extinction-proof our species, but, of course, it will likely also change Homo sapiens in profound ways. We won’t really be us in the new arrangement.

Gilster envisions “worldships” that will be “huge future space ‘arcologies’ – self-sustaining, city-size ships of the kind once imagined by the US physicist and futurist Gerard O’Neill, with thousands of people living in artificial, Earth-like environments.”

An excerpt:

Our expansion into the galaxy will begin slowly, for the stars are immensely distant. Scatter 200 billion grains of salt – each representing a single star – into an approximation of the Milky Way and, in our neighbourhood, each grain of salt would be seven miles from its nearest counterpart. To reach Alpha Centauri, the triple-star system closest to our own, with a human crew we need to travel at least at 10 per cent of lightspeed (about 30,000 kilometres per second), making for a four-decade crossing. With the help of some form of suspended animation, the journey might be made easier.

Ten per cent of lightspeed is an attractive goal. It’s fast enough to reach the nearest stars in a single human lifetime, but not so fast that collisions with interstellar gas and dust cannot be protected against. We’ll need to tune up those technologies and learn to shield our crews from galactic cosmic rays. Deceleration at the destination is a huge problem, but possibilities exist. Perhaps the most plausible of these is using a magnetic field generated by a superconducting loop, a so-called ‘magsail’, that can open in the latter phases of the mission to brake over years against the stream of charged particles emitted by the target stars.

As to how to get to 10 per cent of lightspeed in the first place, numerous ideas are bruited about. If we had to make a choice right now, the technology with the highest likelihood of success is probably a vast sail. This would be alightsail,’ driven by a powerful laser or microwave station in close proximity to the Sun; it would ride photons from the beam, acquiring their momentum. Strategies exist to tighten, or ‘collimate’, the beam through a huge lens in the outer solar system, or through a series of smaller lenses that can keep the beam on the departing spacecraft long enough for it to reach its substantial percentage of lightspeed. There are other possible interstellar propulsion strategies, from antimatter to fusion to interstellar ramjets. To help the crew survive the journey, we can explore nanotechnology, artificial intelligence, and uploaded consciousness.•

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Marconi wanted to talk to Martians, and who wouldn’t?

Was just reading “Building a Language to Communicate With Extraterrestrials,” Daniel Oberhaus’ smart Atlantic piece about scientists trying to develop a cosmic lingua franca, and it reminded me of a Dennis Overbye NYT article from early in the Aughts. In that piece, Overbye profiled Dr. Douglas Vakoch, the young “Interstellar Message Group Leader” at the SETI Institute, who was then just starting his career, hopeful we would someday make intelligible contact. Vakoch, who was interviewed two years ago at the New Yorker site, maintains hope, though he knows there are no guarantees. 

Overbye’s opening:

PHILADELPHIA— There is probably only one person on earth although, one hopes, not in the universe — whose business card identifies him as ”Interstellar Message Group Leader.”

That would be Dr. Douglas Vakoch, aspiring psychotherapist, philosopher, self-described exo-semiotician, and resident psychologist at the SETI Institute in Mountain View, Calif., which is dedicated to the search for extraterrestrial intelligence. It is his job to come with ideas for a response in case any searchers ever discern, amid the crackle and hiss of radio waves from outer space, the equivalent of a ”Hi there — what’s your name?”

It was the search for a suitable answer that found Dr. Vakoch, standing on a lonely sidewalk here late one chilly evening looking for the back way into a brick building. He was in town to attend and discuss a new play about an outer space organism that turns people’s skins green, and to give a talk about the problems of composing interstellar interspecies messages.

In between, he was hoping to squeeze in a visit to a meeting of Alcoholics Anonymous, a homework assignment for getting a license to practice psychotherapy in California, his home state, but the building was locked. Of course, as a SETI researcher, Dr. Vakoch knows that frustration is part of the process.

The receipt of a signal from another civilization, astronomers involved in SETI say, would be one of the greatest events in the history of humanity. The question of how or whether to respond, they say, is too important to be left to the last minute.

”The initial message we send, if we ever do send any, would create the first impression for what would be a dialogue that would be occurring over many generations,” Dr. Vakoch said.

In the interest of making a good impression, and perhaps counteracting the burble of Survivor, automobile ads and political news spreading outward through the galaxy on radio and television waves, Dr. Vakoch is using a grant from the John Templeton Foundation to devise a message that encodes the notion of altruism, which many biologists and humanists would like to think is a pillar of any civilization.

It is an effort, he says, that will have value even if there is nothing but silence from the heavens. ”By thinking about who we would want to represent ourselves, we’re forced to reflect in a different way than we usually do about what our deepest values are,” Dr. Vakoch said.

”And by attempting to put some of the ideas and values most important to us in an abstract universal language, we’re forced to clarify what we mean by those things.”

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YIWU, CHINA - MAY 18: (CHINA OUT) A "female" robot waiter delivers meals for customers at robot-themed restaurant on May 18, 2015 in Yiwu, Zhejiang province of China. Sophomore Xu Jinjin in 22 years old from Hospitality Management of Yiwu Industrial and Commercial College managed a restaurant where a pair of robot acted as waiters. The "male" one was named "Little Blue" (for in blue color) and the "female" one was "Little Peach" (for in pink) and they could help order meals and then delivered them to customers along the magnetic track and said: "Here're your meals, please enjoy". According to Xu Jinjin, They had contacted with the designer to present more robot waiters to make the restaurant a real one that depends completely on robots. (Photo by ChinaFotoPress via Getty Images)

The economist Alex Tabarrok participated in an interesting Q&A session at Quora, but I really wish I could ask him a follow-up on the exchange about Artificial Intelligence’s impact on the middle class. One point he makes is that the benefits of AI will flow to masses the way smartphones have. That sounds promising except that the diffuse nature of that particular technology has coincided by most estimates with a hollowing out of the middle. For instance, those phones have enabled Uber to destabilize the taxi industry, replacing solid jobs and small businesses with Gog Economy insecurity. Having a remarkably great tool in our shirt pockets isn’t necessarily a panacea for larger economic issues, and it’s possible the benefits from AI won’t cover the losses it creates. 

The exchange:

Question:

Will the proliferation of affordable AI decimate the middle class?

Alex Tabarrok:

Here is how I think about these issues. The Artificial in AI can sometimes mislead so let’s start by getting rid of the A and asking instead whether more NI, Natural Intelligence will decimate the middle class. For example, will increasing education in China decimate the American middle class? I don’t think so.

As I said in my TED talk, the brainpower of China and India in the 20th century was essentially “offline.” Instead of contributing to the world technological frontier the people of China and India were just barely feeding themselves. China and India are now coming online and I see the increase in natural intelligence as one of the most hopeful facts for the future. It’s been estimated that a reduction in cancer mortality of just 10 percent would be worth $5 trillion to U.S. citizens (and even more taking into account the rest of the world). A reduction in cancer mortality is more likely to happen with a well-educated China than with a poorly educated China. So we have a huge amount to gain by greater NI.

In the case of low-skill labor the rise of China has hurt some US low-skill workers (although US workers as a whole are almost certainly better off due to lower prices). The US has historically had an abundance of highly-skilled labor and with greater education around the world we have less of a competitive advantage. In the case of high-skill labor, however, I think the opportunities for gains are much greater than with competition for low-skill labor. Ideas are what drives growth and ideas are non-rivalrous, they quickly spread around the world. The more idea creators the better for everyone. At the world level, for example, the standard of living and the growth rate of world GDP have both gotten larger as population has increased.

Greater foreign intelligence and wealth could be a threat if intelligence turns from production to destruction (this is also a potential problem with AI). We probably can’t keep China poor, even if we tried, and any attempt to try to do so would likely backfire in the worst possible way. Thus, if want to keep high-skill Chinese workers working on medical rather than military breakthroughs, we must preserve a peaceful world of trade. Indeed, peace and trade become ever more important the richer the world gets. 

Now let’s turn from NI to AI. For the foreseeable future I see AI as being very similar to additional NI. Smart people in China aren’t perfect substitutes for smart people in the United States and there are also plenty of opportunities for complementarity. Similarly AI is not a perfect substitute for NI and there are plenty of opportunities for complementarity. An AI that drives your car, for example, complements your NI because it leaves more time for more productive tasks.

(What happens when AI does become a perfect substitute for NI? We could easily be 100 years or more from that scenario but my foresighted colleague, Robin Hanson, has a new book The Age of EM that discusses the implications of uploads, human intelligence copied into software—Hanson’s book is the most serious attempt in all of history to lay out the implications of a new technology but we may not know whether he is right for a long time.)

Thus, the analysis of AI and NI is similar except for one important fact. As Chinese workers become better educated a significant share of the gains will go to Chinese workers (although by no means all).  AI, however, is produced by capital. But in our world capital isn’t scarce. The world is awash in capital and computing power is getting ever cheaper. AI isn’t like an oil field owned by a handful of people. AI will be cheap and ownership will be widespread. Just look at your cellphone—it’s faster and more powerful than a multi-million dollar Cray-2 supercomputer of 1990. Moreover, in 1990 there were only a handful of Cray-2s and today there are billions of cell-phone super-computers including hundreds of millions and soon billions in poor countries. The gains from AI, therefore, will flow not to capital but to consumers. So if anything the gains from more AI are even larger than the gains from more NI.•

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