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Javier E

The Singular Mind of Terry Tao - The New York Times - 0 views

  • reflecting on his career so far, Tao told me that his view of mathematics has utterly changed since childhood. ‘‘When I was growing up, I knew I wanted to be a mathematician, but I had no idea what that entailed,’’ he said in a lilting Australian accent. ‘‘I sort of imagined a committee would hand me problems to solve or something.’’
  • But it turned out that the work of real mathematicians bears little resemblance to the manipulations and memorization of the math student. Even those who experience great success through their college years may turn out not to have what it takes. The ancient art of mathematics, Tao has discovered, does not reward speed so much as patience, cunning and, perhaps most surprising of all, the sort of gift for collaboration and improvisation that characterizes the best jazz musicians
  • Tao now believes that his younger self, the prodigy who wowed the math world, wasn’t truly doing math at all. ‘‘It’s as if your only experience with music were practicing scales or learning music theory,’’ he said, looking into light pouring from his window. ‘‘I didn’t learn the deeper meaning of the subject until much later.’’
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  • The true work of the mathematician is not experienced until the later parts of graduate school, when the student is challenged to create knowledge in the form of a novel proof. It is common to fill page after page with an attempt, the seasons turning, only to arrive precisely where you began, empty-handed — or to realize that a subtle flaw of logic doomed the whole enterprise from its outset. The steady state of mathematical research is to be completely stuck. It is a process that Charles Fefferman of Princeton, himself a onetime math prodigy turned Fields medalist, likens to ‘‘playing chess with the devil.’’ The rules of the devil’s game are special, though: The devil is vastly superior at chess, but, Fefferman explained, you may take back as many moves as you like, and the devil may not. You play a first game, and, of course, ‘‘he crushes you.’’ So you take back moves and try something different, and he crushes you again, ‘‘in much the same way.’’ If you are sufficiently wily, you will eventually discover a move that forces the devil to shift strategy; you still lose, but — aha! — you have your first clue.
  • Tao has emerged as one of the field’s great bridge-­builders. At the time of his Fields Medal, he had already made discoveries with more than 30 different collaborators. Since then, he has also become a prolific math blogger with a decidedly non-­Gaussian ebullience: He celebrates the work of others, shares favorite tricks, documents his progress and delights at any corrections that follow in the comments. He has organized cooperative online efforts to work on problems. ‘‘Terry is what a great 21st-­century mathematician looks like,’’ Jordan Ellenberg, a mathematician at the University of Wisconsin, Madison, who has collaborated with Tao, told me. He is ‘‘part of a network, always communicating, always connecting what he is doing with what other people are doing.’’
  • As a group, the people drawn to mathematics tend to value certainty and logic and a neatness of outcome, so this game becomes a special kind of torture. And yet this is what any ­would-be mathematician must summon the courage to face down: weeks, months, years on a problem that may or may not even be possible to unlock. You find yourself sitting in a room without doors or windows, and you can shout and carry on all you want, but no one is listening.
  • For their work, Tao and Green salvaged a crucial bit from an earlier proof done by others, which had been discarded as incorrect, and aimed at a different goal. Other maneuvers came from masterful proofs by Timothy Gowers of England and Endre Szemeredi of Hungary. Their work, in turn, relied on contributions from Erdos, Klaus Roth and Frank Ramsey, an Englishman who died at age 26 in 1930, and on and on, into history. Ask mathematicians about their experience of the craft, and most will talk about an intense feeling of intellectual camaraderie. ‘‘A very central part of any mathematician’s life is this sense of connection to other minds, alive today and going back to Pythagoras,’’ said Steven Strogatz, a professor of mathematics at Cornell University. ‘‘We are having this conversation with each other going over the millennia.’’
  • Most mathematicians tend to specialize, but Tao ranges widely, learning from others and then working with them to make discoveries. Markus Keel, a longtime collaborator and close friend, reaches to science fiction to explain Tao’s ability to rapidly digest and employ mathematical ideas: Seeing Tao in action, Keel told me, reminds him of the scene in ‘‘The Matrix’’ when Neo has martial arts downloaded into his brain and then, opening his eyes, declares, ‘‘I know kung fu.’’ The citation for Tao’s Fields Medal, awarded in 2006, is a litany of boundary hopping and notes particularly ‘‘beautiful work’’ on Horn’s conjecture, which Tao completed with a friend he had played foosball with in graduate school. It was a new area of mathematics for Tao, at a great remove from his known stamping grounds. ‘‘This is akin,’’ the citation read, ‘‘to a leading English-­language novelist suddenly producing the definitive Russian novel.’’
  • An effort to prove that 1 equals 0 is not likely to yield much fruit, it’s true, but the hacker’s mind-set can be extremely useful when doing math. Long ago, mathematicians invented a number that when multiplied by itself equals negative 1, an idea that seemed to break the basic rules of multiplication. It was so far outside what mathematicians were doing at the time that they called it ‘‘imaginary.’’ Yet imaginary numbers proved a powerful invention, and modern physics and engineering could not function without them.
  • Early encounters with math can be misleading. The subject seems to be about learning rules — how and when to apply ancient tricks to arrive at an answer. Four cookies remain in the cookie jar; the ball moves at 12.5 feet per second. Really, though, to be a mathematician is to experiment. Mathematical research is a fundamentally creative act. Lore has it that when David Hilbert, arguably the most influential mathematician of fin de siècle Europe, heard that a colleague had left to pursue fiction, he quipped: ‘‘He did not have enough imagination for mathematics.’’
  • Many people think that substantial progress on Navier-­Stokes may be impossible, and years ago, Tao told me, he wrote a blog post concurring with this view. Now he has some small bit of hope. The twin-prime conjecture had the same feel, a sense of breaking through the wall of intimidation that has scared off many aspirants. Outside the world of mathematics, both Navier-­Stokes and the twin-prime conjecture are described as problems. But for Tao and others in the field, they are more like opponents. Tao’s opponent has been known to taunt him, convincing him that he is overlooking the obvious, or to fight back, making quick escapes when none should be possible. Now the opponent appears to have revealed a weakness. But Tao said he has been here before, thinking he has found a way through the defenses, when in fact he was being led into an ambush. ‘‘You learn to get suspicious,’’ Tao said. ‘‘You learn to be on the lookout.’’
Javier E

How To Look Smart, Ctd - The Daily Dish | By Andrew Sullivan - 0 views

  • The Atlantic Home todaysDate();Tuesday, February 8, 2011Tuesday, February 8, 2011 Go Follow the Atlantic » Politics Presented by When Ronald Reagan Endorsed Ron Paul Joshua Green Epitaph for the DLC Marc Ambinder A Hard Time Raising Concerns About Egypt Chris Good Business Presented by Could a Hybrid Mortgage System Work? Daniel Indiviglio Fighting Bias in Academia Megan McArdle The Tech Revolution For Seniors Derek Thompson Culture Presented By 'Tiger Mother' Creates a New World Order James Fallows Justin Bieber: Daydream Believer James Parker <!-- /li
  • these questions tend to overlook the way IQ tests are designed. As a neuropsychologist who has administered hundreds of these measures, I can tell you that their structures reflect a deeply embedded bias toward intelligence as a function of reading skills
Javier E

We Are Just Not Digging The Whole Anymore : NPR - 1 views

  • We just don't do whole things anymore. We don't read complete books — just excerpts. We don't listen to whole CDs — just samplings. We don't sit through whole baseball games — just a few innings. Don't even write whole sentences. Or read whole stories like this one. Long-form reading, listening and viewing habits are giving way to browse-and-choose consumption. With the increase in the number of media options — or distractions, depending on how you look at them — something has to give, and that something is our attention span. - Adam Thierer, senior research fellow at George Mason University We care more about the parts and less about the entire. We are into snippets and smidgens and clips and tweets. We are not only a fragmented society, but a fragment society.
  • One Duke University student was famously quoted in a 2006 Time magazine essay telling his history professor, "We don't read whole books anymore."
  • Now there are lots of websites that present whole books and concepts in nano form
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  • nearly half of all adults — 47 percent — get some of their local news and information on mobile computing devices. We are receiving our news in kibbles and bits, sacrificing context and quality for quickness and quantity.
  • Here is the ultra-condensation of Pride and Prejudice by Jane Austen: Mr. Darcy: Nothing is good enough for me. Ms. Elizabeth Bennet: I could never marry that proud man. (They change their minds.) THE END
  • Fewer and fewer gamers are following gaming storylines all the way to completion, according to a recent blog post on the IGN Entertainment video game website.
  • "With the increase in the number of media options — or distractions, depending on how you look at them — something has to give, and that something is our attention span." He ticks off a long list of bandied-about terms. Here's a shortened version: cognitive overload; information paralysis; techno stress; and data asphyxiation.
  • Rockmore believes that the way many people learn — or try to learn — these days is via this transporter technique. "The truth is," he says, "that modern pedagogy probably needs to address this in the sense that there is so much information out there, for free, so that obtaining it — even in bits and pieces — is not the challenge, rather integrating it into a coherent whole is. That's a new paradigm."
Javier E

Is Everyone a Little Bit Racist? - NYTimes.com - 0 views

  • Research in the last couple of decades suggests that the problem is not so much overt racists. Rather, the larger problem is a broad swath of people who consider themselves enlightened, who intellectually believe in racial equality, who deplore discrimination, yet who harbor unconscious attitudes that result in discriminatory policies and behavior.
  • The player takes on the role of a police officer who is confronted with a series of images of white or black men variously holding guns or innocent objects such as wallets or cellphones. The aim is to shoot anyone with a gun while holstering your weapon in other cases.Ordinary players (often university undergraduates) routinely shoot more quickly at black men than at white men, and are more likely to mistakenly shoot an unarmed black man than an unarmed white man.
  • Correll has found no statistically significant difference between the play of blacks and that of whites in the shooting game.
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  • an uncomfortable starting point is to understand that racial stereotyping remains ubiquitous, and that the challenge is not a small number of twisted white supremacists but something infinitely more subtle and complex: People who believe in equality but who act in ways that perpetuate bias and inequality.
  • One finding is that we unconsciously associate “American” with “white.” Thus, in 2008, some California college students — many who were supporting Barack Obama for president — unconsciously treated Obama as more foreign than Tony Blair, the former British prime minister.
  • “There’s a whole culture that promotes this idea of aggressive young black men,” Correll notes. “In our minds, young black men are associated with danger.”
  • Joshua Correll of the University of Colorado at Boulder has used an online shooter video game to try to measure these unconscious attitudes (you can play the game yourself).
Javier E

It's Time for a Real Code of Ethics in Teaching - Noah Berlatsky - The Atlantic - 3 views

  • More 5inShare Email Print A defendant in the Atlanta Public Schools case turns herself in at the Fulton County Jail on April 2. (David Goldman/AP) Earlier this week at The Atlantic, Emily Richmond asked whether high-stakes testing caused the Atlanta schools cheating scandal. The answer, I would argue, is yes... just not in the way you might think. Tests don't cause unethical behavior. But they did cause the Atlanta cheating scandal, and they are doing damage to the teaching profession. The argument that tests do not cause unethical behavior is fairly straightforward, and has been articulated by a number of writers. Jonathan Chait quite correctly points out that unethical behavior occurs in virtually all professions -- and that it occurs particularly when there are clear incentives to succeed. Incentivizing any field increases the impetus to cheat. Suppose journalism worked the way teaching traditionally had. You get hired at a newspaper, and your advancement and pay are dictated almost entirely by your years on the job, with almost no chance of either becoming a star or of getting fired for incompetence. Then imagine journalists changed that and instituted the current system, where you can get really successful if your bosses like you or be fired if they don't. You could look around and see scandal after scandal -- phone hacking! Jayson Blair! NBC's exploding truck! Janet Cooke! Stephen Glass! -- that could plausibly be attributed to this frightening new world in which journalists had an incentive to cheat in order to get ahead. It holds true of any field. If Major League Baseball instituted tenure, and maybe used tee-ball rules where you can't keep score and everybody gets a chance to hit, it could stamp out steroid use. Students have been cheating on tests forever -- massive, systematic cheating, you could say. Why? Because they have an incentive to do well. Give teachers and administrators an incentive for their students to do well, and more of them will cheat. For Chait, then, teaching has just been made more like journalism or baseball; it has gone from an incentiveless occupation to one with incentives.
  • Chait refers to violations of journalistic ethics -- like the phone-hacking scandal -- and suggests they are analogous to Major-League steroid use, and that both are similar to teachers (or students) cheating on tests. But is phone hacking "cheating"
  • Phone hacking was, then, not an example of cheating. It was a violation of professional ethics. And those ethics are not arbitrarily imposed, but are intrinsic to the practice of journalism as a profession committed to public service and to truth.
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  • Behaving ethically matters, but how it matters, and what it means, depends strongly on the context in which it occurs.
  • Ethics for teachers is not, apparently, first and foremost about educating their students, or broadening their minds. Rather, ethics for teachers in our current system consists in following the rules. The implicit, linguistic signal being given is that teachers are not like journalists or doctors, committed to a profession and to the moral code needed to achieve their professional goals. Instead, they are like athletes playing games, or (as Chait says) like children taking tests.
  • Using "cheating" as an ethical lens tends to both trivialize and infantilize teacher's work
  • Professions with social respect and social capital, like doctors and lawyers, collaborate in the creation of their own standards. The assumption is that those standards are intrinsic to the profession's goals, and that, therefore, professionals themselves are best equipped to establish and monitor them. Teachers' standards, though, are imposed from outside -- as if teachers are children, or as if teaching is a game.
  • High-stakes testing, then, does leads to cheating. It does not create unethical behavior -- but it does create the particular unethical behavior of "cheating."
  • We have reached a point where we can only talk about the ethics of the profession in terms of cheating or not cheating, as if teachers' main ethical duty is to make sure that scantron bubbles get filled in correctly. Teachers, like journalists, should have a commitment to truth; like doctors, they have a duty of care. Translating those commitments and duties into a bureaucratized measure of cheating-or-not-cheating diminishes ethic
  • For teachers it is, literally, demoralizing. It severs the moral experience of teaching from the moral evaluation of teaching, which makes it almost impossible for good teachers (in all the senses of "good") to stay in the system.
  • We need better ethics for teachers -- ethics that treat them as adults and professionals, not like children playing games.
Javier E

How YouTube Drives People to the Internet's Darkest Corners - WSJ - 0 views

  • YouTube is the new television, with more than 1.5 billion users, and videos the site recommends have the power to influence viewpoints around the world.
  • Those recommendations often present divisive, misleading or false content despite changes the site has recently made to highlight more-neutral fare, a Wall Street Journal investigation found.
  • Behind that growth is an algorithm that creates personalized playlists. YouTube says these recommendations drive more than 70% of its viewing time, making the algorithm among the single biggest deciders of what people watch.
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  • People cumulatively watch more than a billion YouTube hours daily world-wide, a 10-fold increase from 2012
  • The Journal investigation found YouTube’s recommendations often lead users to channels that feature conspiracy theories, partisan viewpoints and misleading videos, even when those users haven’t shown interest in such content.
  • When users show a political bias in what they choose to view, YouTube typically recommends videos that echo those biases, often with more-extreme viewpoints.
  • Such recommendations play into concerns about how social-media sites can amplify extremist voices, sow misinformation and isolate users in “filter bubbles”
  • Unlike Facebook Inc. and Twitter Inc. sites, where users see content from accounts they choose to follow, YouTube takes an active role in pushing information to users they likely wouldn’t have otherwise seen.
  • “The editorial policy of these new platforms is to essentially not have one,”
  • “That sounded great when it was all about free speech and ‘in the marketplace of ideas, only the best ones win.’ But we’re seeing again and again that that’s not what happens. What’s happening instead is the systems are being gamed and people are being gamed.”
  • YouTube has been tweaking its algorithm since last autumn to surface what its executives call “more authoritative” news source
  • YouTube last week said it is considering a design change to promote relevant information from credible news sources alongside videos that push conspiracy theories.
  • After the Journal this week provided examples of how the site still promotes deceptive and divisive videos, YouTube executives said the recommendations were a problem.
  • YouTube engineered its algorithm several years ago to make the site “sticky”—to recommend videos that keep users staying to watch still more, said current and former YouTube engineers who helped build it. The site earns money selling ads that run before and during videos.
  • The algorithm doesn’t seek out extreme videos, they said, but looks for clips that data show are already drawing high traffic and keeping people on the site. Those videos often tend to be sensationalist and on the extreme fringe, the engineers said.
  • There is another way to calculate recommendations, demonstrated by YouTube’s parent, Alphabet Inc.’s Google. It has designed its search-engine algorithms to recommend sources that are authoritative, not just popular.
  • Google spokeswoman Crystal Dahlen said that Google improved its algorithm last year “to surface more authoritative content, to help prevent the spread of blatantly misleading, low-quality, offensive or downright false information,” adding that it is “working with the YouTube team to help share learnings.”
  • In recent weeks, it has expanded that change to other news-related queries. Since then, the Journal’s tests show, news searches in YouTube return fewer videos from highly partisan channels.
  • YouTube’s recommendations became even more effective at keeping people on the site in 2016, when the company began employing an artificial-intelligence technique called a deep neural network that makes connections between videos that humans wouldn’t. The algorithm uses hundreds of signals, YouTube says, but the most important remains what a given user has watched.
  • Using a deep neural network makes the recommendations more of a black box to engineers than previous techniques,
  • “We don’t have to think as much,” he said. “We’ll just give it some raw data and let it figure it out.”
  • To better understand the algorithm, the Journal enlisted former YouTube engineer Guillaume Chaslot, who worked on its recommendation engine, to analyze thousands of YouTube’s recommendations on the most popular news-related queries
  • Mr. Chaslot created a computer program that simulates the “rabbit hole” users often descend into when surfing the site. In the Journal study, the program collected the top five results to a given search. Next, it gathered the top three recommendations that YouTube promoted once the program clicked on each of those results. Then it gathered the top three recommendations for each of those promoted videos, continuing four clicks from the original search.
  • The first analysis, of November’s top search terms, showed YouTube frequently led users to divisive and misleading videos. On the 21 news-related searches left after eliminating queries about entertainment, sports and gaming—such as “Trump,” “North Korea” and “bitcoin”—YouTube most frequently recommended these videos:
  • YouTube’s algorithm tweaks don’t appear to have changed how YouTube recommends videos on its home page. On the home page, the algorithm provides a personalized feed for each logged-in user largely based on what the user has watched.
  • Repeated tests by the Journal as recently as this week showed the home page often fed far-right or far-left videos to users who watched relatively mainstream news sources, such as Fox News and MSNBC.
  • Searching some topics and then returning to the home page without doing a new search can produce recommendations that push users toward conspiracy theories even if they seek out just mainstream sources.
  • After searching for “9/11” last month, then clicking on a single CNN clip about the attacks, and then returning to the home page, the fifth and sixth recommended videos were about claims the U.S. government carried out the attacks. One, titled “Footage Shows Military Plane hitting WTC Tower on 9/11—13 Witnesses React”—had 5.3 million views.
Javier E

Seven Lessons In Economic Leadership From Ancient Egypt - 0 views

  • Although there are plenty of grounds for rage against the big banks, the challenge is to sort out which are the activities that grow the real economy of goods and services, and which are the activities that are essentially a zero-sum game of socially useless gambling?
  • The situation today is that the zero-sum games of the financial sector aren’t just a tiny sideshow. They have grown exponentially and have become almost the main game of the financial sector.
  • When finance becomes the end, not the means, then the result is what analyst Gautam Mukunda calls “excessive financialization” of the economy, as his excellent article by “The Price of Wall Street Power” in the June 2014 issue of Harvard Business Review makes clear.
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  • Quite apart from the “unbalanced power” of the financial sector, and the tendency of a super-sized financial sector to cause increasingly bad global financial crashes, excessive financialization leads to resources being misallocated. “In many of the financial sector’s segments that have grown fastest since deregulation—like investment banks—the transactions are primarily zero-sum.”
  • However in times of rapid technological transformation like today, the role of the economic priesthood in protecting its own interests can become a massively destabilizing.
  • Thus we know from the history of the last couple of hundred years that in times of rapid technological transformation, the financial sector tends to become disconnected from the real economy
  • This has occurred a number of times in the last few hundred years, including the Canal Mania (England—1790s), the Rail Mania (England—1840s), the Gilded Age (US: 1880s—early 1900s) the Roaring Twenties (US—1920s) and the Big Banks of today.
  • Getting to safety is not made any easier by the fact the modern economic priesthood—the managers of large firms and the banks—has, like their ancient Egyptian forbears, found ways to participate in the casino economy and benefit from “making money out of money”, even as the economy as a whole suffers.&nbsp; As Upton Sinclair wrote, “It is difficult to get a man to understand something, when his salary depends upon his not understanding it.
  • Just as the ancient Egyptian economic priesthood clung to power as the economy stagnated, so today the economic priesthood shows no signs of relinquishing their gains or their power. The appetite and expectation of extraordinary returns is still there.
  • “Corporate chieftains rationally choose financial engineering—debt-financed share buybacks, for example—over capital investment in property, plants and equipment. Financial markets reward shareholder activism. Institutional investors extend their risk parameters to beat their benchmarks… But real economic growth—averaging just a bit above 2 percent for the fifth year in a row—remains sorely lacking.”
  • As a result, the economy remains in the “Great Stagnation”(Tyler Cowen), also known as “the Secular Stagnation (Larry Summers). It is running on continuing life support from the Federal Reserve. Large enterprises still appear to be profitable. The appearance, though not the reality, of economic well-being has been sufficient to make the stock market soa
  • Just as no change was possible in ancient Egyptian society so long as the economic priesthood colluded to preserve the status quo, so the excesses and prevarications of the Financial Sector will continue so long as the regulators remain its cheerleaders.
  • Just listen to the chair of the Securities and Exchange Commission (SEC), Mary Jo White at Stanford University Rock Center for Corporate Governance speaking to directors. In her speech, she makes no secret of her view that the overall corporate arrangements are sound. The job of the SEC, as outlined in the speech, is to find the odd individual who might be doing something wrong. The idea that the large-scale activities of the major banks might be socially corrosive is not even alluded.
  • Thus in times of transformational technology, there is a huge expansion of investment, driven by the financial sector. Wealthy investors begin to expect outsized returns and so there is over-investment. The resulting bubbles in due course burst
  • Just as in ancient Egypt, no progress was possible so long as the myths and rituals of the economic priesthood and their offerings to the gods were widely accepted as real indicators of what was going on, so today no progress is possible so long as the myths and rituals of the modern economic priesthood still has a pervasive hold of people’s minds
  • In the modern economy, the myths and rituals of the economic priesthood are built on the notion that the purpose of a firm is to maximize shareholder value and the notion that if the share price is increasing, things are going well. These ideas are the intellectual underpinnings of the zero-sum activities of the financial sector for “making money out of money”, by whatever means possible
  • Like the myths and rituals of the priests of ancient Egypt, shareholder value theory is espoused with religious overtones. Shareholder value, which even Jack Welch has called “the dumbest idea in the world,” remains pervasive in business, even though it is responsible for massive offshoring of manufacturing, thereby destroying major segments of the US economy, undermining US capacity to compete in international markets and killing the economic recovery.
  • If instead society decides that the financial sector should concentrate on its socially important function of financing the real economy and providing financial security for an ever wider circle of citizens and enterprises, we could enjoy an era of growth and lasting prosperity.
Javier E

My Son's Friends Use Slurs in Online Games. What Can I Do? - The New York Times - 0 views

  • You could say, for example, “If you hear a kid saying something offensive, consider saying to him or her, ‘that term is racist,’ or ‘those words are hurtful.’ If you see a kid use that language to attack someone face-to-face, you need to tell him or her to stop, reach out to the victim, or alert an adult.”
  • Whenever an opportunity presents itself, you will also want to model for your son what it looks like to interrupt intolerance. As in all of parenting, our actions teach more than our words.
  • Your son might question this last idea if he is familiar with the concept of an “N-word pass,” by which a black person grants a nonblack person permission to use the term. Here, I’d have you talk with your son about the excellent points raised in a brief video of the author Ta-Nehisi Coates, who notes that some white people bristle at the suggestion that they should abstain from using certain words because they have been conditioned to believe that “everything belongs” to them.
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  • To have this conversation, consider saying: “If people within a group want to claim ownership of a word that has been used to hurt them, that’s their call, even if not everyone else in that group agrees with their decision. But if you’re not in the group, the word is definitely not yours to use.”
  • Not all girls and women believe that it is empowering to playfully refer to one another as bitches. Similarly, not all African-Americans share the same view on the use of the “N-word.” But its regular use in popular songs (mostly, but not entirely by black artists) has left a lot of kids who are not black wondering if they are free to use the word, too.
Javier E

The Coming Software Apocalypse - The Atlantic - 1 views

  • Our standard framework for thinking about engineering failures—reflected, for instance, in regulations for medical devices—was developed shortly after World War II, before the advent of software, for electromechanical systems. The idea was that you make something reliable by making its parts reliable (say, you build your engine to withstand 40,000 takeoff-and-landing cycles) and by planning for the breakdown of those parts (you have two engines). But software doesn’t break. Intrado’s faulty threshold is not like the faulty rivet that leads to the crash of an airliner. The software did exactly what it was told to do. In fact it did it perfectly. The reason it failed is that it was told to do the wrong thing.
  • Software failures are failures of understanding, and of imagination. Intrado actually had a backup router, which, had it been switched to automatically, would have restored 911 service almost immediately. But, as described in a report to the FCC, “the situation occurred at a point in the application logic that was not designed to perform any automated corrective actions.”
  • The introduction of programming languages like Fortran and C, which resemble English, and tools, known as “integrated development environments,” or IDEs, that help correct simple mistakes (like Microsoft Word’s grammar checker but for code), obscured, though did little to actually change, this basic alienation—the fact that the programmer didn’t work on a problem directly, but rather spent their days writing out instructions for a machine.
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  • Code is too hard to think about. Before trying to understand the attempts themselves, then, it’s worth understanding why this might be: what it is about code that makes it so foreign to the mind, and so unlike anything that came before it.
  • Technological progress used to change the way the world looked—you could watch the roads getting paved; you could see the skylines rise. Today you can hardly tell when something is remade, because so often it is remade by code.
  • Software has enabled us to make the most intricate machines that have ever existed. And yet we have hardly noticed, because all of that complexity is packed into tiny silicon chips as millions and millions of lines of cod
  • The programmer, the renowned Dutch computer scientist Edsger Dijkstra wrote in 1988, “has to be able to think in terms of conceptual hierarchies that are much deeper than a single mind ever needed to face before.” Dijkstra meant this as a warning.
  • As programmers eagerly poured software into critical systems, they became, more and more, the linchpins of the built world—and Dijkstra thought they had perhaps overestimated themselves.
  • What made programming so difficult was that it required you to think like a computer.
  • “The problem is that software engineers don’t understand the problem they’re trying to solve, and don’t care to,” says Leveson, the MIT software-safety expert. The reason is that they’re too wrapped up in getting their code to work.
  • Though he runs a lab that studies the future of computing, he seems less interested in technology per se than in the minds of the people who use it. Like any good toolmaker, he has a way of looking at the world that is equal parts technical and humane. He graduated top of his class at the California Institute of Technology for electrical engineering,
  • “The serious problems that have happened with software have to do with requirements, not coding errors.” When you’re writing code that controls a car’s throttle, for instance, what’s important is the rules about when and how and by how much to open it. But these systems have become so complicated that hardly anyone can keep them straight in their head. “There’s 100 million lines of code in cars now,” Leveson says. “You just cannot anticipate all these things.”
  • a nearly decade-long investigation into claims of so-called unintended acceleration in Toyota cars. Toyota blamed the incidents on poorly designed floor mats, “sticky” pedals, and driver error, but outsiders suspected that faulty software might be responsible
  • software experts spend 18 months with the Toyota code, picking up where NASA left off. Barr described what they found as “spaghetti code,” programmer lingo for software that has become a tangled mess. Code turns to spaghetti when it accretes over many years, with feature after feature piling on top of, and being woven around
  • Using the same model as the Camry involved in the accident, Barr’s team demonstrated that there were actually more than 10 million ways for the onboard computer to cause unintended acceleration. They showed that as little as a single bit flip—a one in the computer’s memory becoming a zero or vice versa—could make a car run out of control. The fail-safe code that Toyota had put in place wasn’t enough to stop it
  • . In all, Toyota recalled more than 9 million cars, and paid nearly $3 billion in settlements and fines related to unintended acceleration.
  • The problem is that programmers are having a hard time keeping up with their own creations. Since the 1980s, the way programmers work and the tools they use have changed remarkably little.
  • “Visual Studio is one of the single largest pieces of software in the world,” he said. “It’s over 55 million lines of code. And one of the things that I found out in this study is more than 98 percent of it is completely irrelevant. All this work had been put into this thing, but it missed the fundamental problems that people faced. And the biggest one that I took away from it was that basically people are playing computer inside their head.” Programmers were like chess players trying to play with a blindfold on—so much of their mental energy is spent just trying to picture where the pieces are that there’s hardly any left over to think about the game itself.
  • The fact that the two of them were thinking about the same problem in the same terms, at the same time, was not a coincidence. They had both just seen the same remarkable talk, given to a group of software-engineering students in a Montreal hotel by a computer researcher named Bret Victor. The talk, which went viral when it was posted online in February 2012, seemed to be making two bold claims. The first was that the way we make software is fundamentally broken. The second was that Victor knew how to fix it.
  • This is the trouble with making things out of code, as opposed to something physical. “The complexity,” as Leveson puts it, “is invisible to the eye.”
  • in early 2012, Victor had finally landed upon the principle that seemed to thread through all of his work. (He actually called the talk “Inventing on Principle.”) The principle was this: “Creators need an immediate connection to what they’re creating.” The problem with programming was that it violated the principle. That’s why software systems were so hard to think about, and so rife with bugs: The programmer, staring at a page of text, was abstracted from whatever it was they were actually making.
  • “Our current conception of what a computer program is,” he said, is “derived straight from Fortran and ALGOL in the late ’50s. Those languages were designed for punch cards.”
  • WYSIWYG (pronounced “wizzywig”) came along. It stood for “What You See Is What You Get.”
  • Victor’s point was that programming itself should be like that. For him, the idea that people were doing important work, like designing adaptive cruise-control systems or trying to understand cancer, by staring at a text editor, was appalling.
  • With the right interface, it was almost as if you weren’t working with code at all; you were manipulating the game’s behavior directly.
  • When the audience first saw this in action, they literally gasped. They knew they weren’t looking at a kid’s game, but rather the future of their industry. Most software involved behavior that unfolded, in complex ways, over time, and Victor had shown that if you were imaginative enough, you could develop ways to see that behavior and change it, as if playing with it in your hands. One programmer who saw the talk wrote later: “Suddenly all of my tools feel obsolete.”
  • hen John Resig saw the “Inventing on Principle” talk, he scrapped his plans for the Khan Academy programming curriculum. He wanted the site’s programming exercises to work just like Victor’s demos. On the left-hand side you’d have the code, and on the right, the running program: a picture or game or simulation. If you changed the code, it’d instantly change the picture. “In an environment that is truly responsive,” Resig wrote about the approach, “you can completely change the model of how a student learns ... [They] can now immediately see the result and intuit how underlying systems inherently work without ever following an explicit explanation.” Khan Academy has become perhaps the largest computer-programming class in the world, with a million students, on average, actively using the program each month.
  • The ideas spread. The notion of liveness, of being able to see data flowing through your program instantly, made its way into flagship programming tools offered by Google and Apple. The default language for making new iPhone and Mac apps, called Swift, was developed by Apple from the ground up to support an environment, called Playgrounds, that was directly inspired by Light Table.
  • “Typically the main problem with software coding—and I’m a coder myself,” Bantegnie says, “is not the skills of the coders. The people know how to code. The problem is what to code. Because most of the requirements are kind of natural language, ambiguous, and a requirement is never extremely precise, it’s often understood differently by the guy who’s supposed to code.”
  • In a pair of later talks, “Stop Drawing Dead Fish” and “Drawing Dynamic Visualizations,” Victor went one further. He demoed two programs he’d built—the first for animators, the second for scientists trying to visualize their data—each of which took a process that used to involve writing lots of custom code and reduced it to playing around in a WYSIWYG interface.
  • Victor suggested that the same trick could be pulled for nearly every problem where code was being written today. “I’m not sure that programming has to exist at all,” he told me. “Or at least software developers.” In his mind, a software developer’s proper role was to create tools that removed the need for software developers. Only then would people with the most urgent computational problems be able to grasp those problems directly, without the intermediate muck of code.
  • Victor implored professional software developers to stop pouring their talent into tools for building apps like Snapchat and Uber. “The inconveniences of daily life are not the significant problems,” he wrote. Instead, they should focus on scientists and engineers—as he put it to me, “these people that are doing work that actually matters, and critically matters, and using really, really bad tools.”
  • Bantegnie’s company is one of the pioneers in the industrial use of model-based design, in which you no longer write code directly. Instead, you create a kind of flowchart that describes the rules your program should follow (the “model”), and the computer generates code for you based on those rules
  • In a model-based design tool, you’d represent this rule with a small diagram, as though drawing the logic out on a whiteboard, made of boxes that represent different states—like “door open,” “moving,” and “door closed”—and lines that define how you can get from one state to the other. The diagrams make the system’s rules obvious: Just by looking, you can see that the only way to get the elevator moving is to close the door, or that the only way to get the door open is to stop.
  • . In traditional programming, your task is to take complex rules and translate them into code; most of your energy is spent doing the translating, rather than thinking about the rules themselves. In the model-based approach, all you have is the rules. So that’s what you spend your time thinking about. It’s a way of focusing less on the machine and more on the problem you’re trying to get it to solve.
  • “Everyone thought I was interested in programming environments,” he said. Really he was interested in how people see and understand systems—as he puts it, in the “visual representation of dynamic behavior.” Although code had increasingly become the tool of choice for creating dynamic behavior, it remained one of the worst tools for understanding it. The point of “Inventing on Principle” was to show that you could mitigate that problem by making the connection between a system’s behavior and its code immediate.
  • On this view, software becomes unruly because the media for describing what software should do—conversations, prose descriptions, drawings on a sheet of paper—are too different from the media describing what software does do, namely, code itself.
  • for this approach to succeed, much of the work has to be done well before the project even begins. Someone first has to build a tool for developing models that are natural for people—that feel just like the notes and drawings they’d make on their own—while still being unambiguous enough for a computer to understand. They have to make a program that turns these models into real code. And finally they have to prove that the generated code will always do what it’s supposed to.
  • tice brings order and accountability to large codebases. But, Shivappa says, “it’s a very labor-intensive process.” He estimates that before they used model-based design, on a two-year-long project only two to three months was spent writing code—the rest was spent working on the documentation.
  • uch of the benefit of the model-based approach comes from being able to add requirements on the fly while still ensuring that existing ones are met; with every change, the computer can verify that your program still works. You’re free to tweak your blueprint without fear of introducing new bugs. Your code is, in FAA parlance, “correct by construction.”
  • “people are not so easily transitioning to model-based software development: They perceive it as another opportunity to lose control, even more than they have already.”
  • The bias against model-based design, sometimes known as model-driven engineering, or MDE, is in fact so ingrained that according to a recent paper, “Some even argue that there is a stronger need to investigate people’s perception of MDE than to research new MDE technologies.”
  • “Human intuition is poor at estimating the true probability of supposedly ‘extremely rare’ combinations of events in systems operating at a scale of millions of requests per second,” he wrote in a paper. “That human fallibility means that some of the more subtle, dangerous bugs turn out to be errors in design; the code faithfully implements the intended design, but the design fails to correctly handle a particular ‘rare’ scenario.”
  • Newcombe was convinced that the algorithms behind truly critical systems—systems storing a significant portion of the web’s data, for instance—ought to be not just good, but perfect. A single subtle bug could be catastrophic. But he knew how hard bugs were to find, especially as an algorithm grew more complex. You could do all the testing you wanted and you’d never find them all.
  • An algorithm written in TLA+ could in principle be proven correct. In practice, it allowed you to create a realistic model of your problem and test it not just thoroughly, but exhaustively. This was exactly what he’d been looking for: a language for writing perfect algorithms.
  • TLA+, which stands for “Temporal Logic of Actions,” is similar in spirit to model-based design: It’s a language for writing down the requirements—TLA+ calls them “specifications”—of computer programs. These specifications can then be completely verified by a computer. That is, before you write any code, you write a concise outline of your program’s logic, along with the constraints you need it to satisfy
  • Programmers are drawn to the nitty-gritty of coding because code is what makes programs go; spending time on anything else can seem like a distraction. And there is a patient joy, a meditative kind of satisfaction, to be had from puzzling out the micro-mechanics of code. But code, Lamport argues, was never meant to be a medium for thought. “It really does constrain your ability to think when you’re thinking in terms of a programming language,”
  • Code makes you miss the forest for the trees: It draws your attention to the working of individual pieces, rather than to the bigger picture of how your program fits together, or what it’s supposed to do—and whether it actually does what you think. This is why Lamport created TLA+. As with model-based design, TLA+ draws your focus to the high-level structure of a system, its essential logic, rather than to the code that implements it.
  • But TLA+ occupies just a small, far corner of the mainstream, if it can be said to take up any space there at all. Even to a seasoned engineer like Newcombe, the language read at first as bizarre and esoteric—a zoo of symbols.
  • this is a failure of education. Though programming was born in mathematics, it has since largely been divorced from it. Most programmers aren’t very fluent in the kind of math—logic and set theory, mostly—that you need to work with TLA+. “Very few programmers—and including very few teachers of programming—understand the very basic concepts and how they’re applied in practice. And they seem to think that all they need is code,” Lamport says. “The idea that there’s some higher level than the code in which you need to be able to think precisely, and that mathematics actually allows you to think precisely about it, is just completely foreign. Because they never learned it.”
  • “In the 15th century,” he said, “people used to build cathedrals without knowing calculus, and nowadays I don’t think you’d allow anyone to build a cathedral without knowing calculus. And I would hope that after some suitably long period of time, people won’t be allowed to write programs if they don’t understand these simple things.”
  • Programmers, as a species, are relentlessly pragmatic. Tools like TLA+ reek of the ivory tower. When programmers encounter “formal methods” (so called because they involve mathematical, “formally” precise descriptions of programs), their deep-seated instinct is to recoil.
  • Formal methods had an image problem. And the way to fix it wasn’t to implore programmers to change—it was to change yourself. Newcombe realized that to bring tools like TLA+ to the programming mainstream, you had to start speaking their language.
  • he presented TLA+ as a new kind of “pseudocode,” a stepping-stone to real code that allowed you to exhaustively test your algorithms—and that got you thinking precisely early on in the design process. “Engineers think in terms of debugging rather than ‘verification,’” he wrote, so he titled his internal talk on the subject to fellow Amazon engineers “Debugging Designs.” Rather than bemoan the fact that programmers see the world in code, Newcombe embraced it. He knew he’d lose them otherwise. “I’ve had a bunch of people say, ‘Now I get it,’” Newcombe says.
  • In the world of the self-driving car, software can’t be an afterthought. It can’t be built like today’s airline-reservation systems or 911 systems or stock-trading systems. Code will be put in charge of hundreds of millions of lives on the road and it has to work. That is no small task.
caelengrubb

The COVID-19 Paradigm Shift-From Values To Careers To Whole Economies - 0 views

  • Paradigm shifts come along maybe once in a generation. They create a profound realignment across the globe, across industries, across economies and across populations.
  • “Paradigm shifts arise when the dominant paradigm under which normal science operates is rendered incompatible with new phenomena, facilitating the adoption of a new theory or paradigm.”
  • COVID-19 is creating a paradigm shift that is realigning every system in every industry across the global at once – in an instant.
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  • Our 21st century tools and technologies that seem to work miracles and make us feel invincible and powerful, are practically defenseless in the face of COVID-19. We are left with only the primitive weapons of cloth masks and keeping our distance.
  • Where we once dismissed people who bag our groceries, or drive our kids’ school buses, for example, now we realize they are “essential workers.”&nbsp;
  • “There is enough.” As Buckminster Fuller, futurist, famed architect, and creator of the geodesic dome said, there is enough of every resource for everyone on the planet; it’s just a matter of distribution.
  • Competitors were in their corners, battling out for marketshare or geopolitical power and dominance.
  • We are experiencing that now, watching sharing be taken to an entirely new level to manage COVID-19. &nbsp;
  • With literally everyone working from home and only “seeing” each other on Zoom or Skype, how we look, what we wear, and the usual vanity concerns are out the window.
  • The way women lead was (still) being undervalued and dismissed as “too soft” or second-rate in many powerful circles.
  • Women are the majority force in the healthcare battalions keeping us and our loved ones alive and giving comfort to those who lose their battles in our absence.&nbsp;
  • There are many more shifts occurring from COVID-19 – from a greater appreciation for nature, to more kindness and compassion, a clearer sense of how we spend our time, to careers and businesses.
ilanaprincilus06

New traumatic brain injury test is 'game-changing,' concussion experts say - ABC News - 0 views

  • In a world first, a newly authorized handheld device will allow doctors to detect traumatic brain injuries (TBIs) in under 15 minutes, potentially saving lives by dramatically shortening the time it takes to properly diagnose the issue.
  • Until now, health care providers have needed to rely on subjective measurements for TBIs, but we finally have a more objective tool to help evaluate patients.”
  • Unfortunately, many patients with mild TBI struggle to get an accurate and timely diagnosis, even as they grapple with ongoing symptoms. This ultimately results in delayed treatment.
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  • Abbott’s new blood test may serve as an objective tool to help doctors triage TBI patients, because it relies on molecular signatures in the blood rather than on murkier clues, such as patient interviews.
  • often use a series of screening questionnaires, physical examinations and CT scans to take pictures of the brain in order to evaluate TBI. However, experts agree these techniques aren’t perfect and there is no objective way to reliably evaluate TBI.
  • Aside from reducing health care costs, it can save people from unnecessary radiation that has been shown to increase the risk of cancer.
  • Despite the benefits, experts agree that physicians cannot rely entirely on this diagnostic test, stating it will only serve to supplement clinical judgment.
  • "The game-changing innovation of having a tool like this is that, as it becomes more widely used, I believe we will identify more people with TBI that’s more subtle, that could be life-altering."
colemorris

Sports' path to return to normal may not be clear - The Washington Post - 0 views

  • “It was the mental part. You want to get it right; you want to be fair; you want to be smart. It just felt like there was broken glass all around. And it wasn’t a matter of if you’re going to step on it but how deep is the cut going to be.”
  • “It was the mental part. You want to get it right; you want to be fair; you want to be smart. It just felt like there was broken glass all around. And it wasn’t a matter of if you’re going to step on it but how deep is the cut going to be.”
    • colemorris
       
      it is very interesting to hear how even though he is not the one playing the sports and is the broadcaster/ analysist he is so heavily affected by this
  • will sports be fun again — will they serve as the harmless distraction and social balm that once sustained so many?
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  • In the past, sports have served as a welcome distraction through pain or trauma. But no game could blot out what was unfolding in 2020. It all blended together, the planet’s problems disrupting the sports world, along with everything else.
  • Even when the games returned, television ratings were down almost across the board. Sports hadn’t been able to offer a respite for everyone.
    • colemorris
       
      covid really put the entire economy in shambles no matter what the business.
  • “Think about it: We took all the fundamental building blocks out of sports this year,” he said. “Anticipation, social gathering, water cooler talk, the ability to play — we took everything out.
  • Utah Jazz player Rudy Gobert tested positive in March and the NBA swiftly halted its season,
    • colemorris
       
      I remember this and in the press conference right before we found out he had it he was seen mocking the disease and touching everything around him purposely.
  • A majority of fans, 56 percent, said people shouldn’t play indoor sports, according to a Marist poll this month. And 49 percent said fans shouldn’t be allowed to attend the Super Bowl.
  • McManus points out that nearly one in five sports fans, 18 percent, said they should be allowed to attend games right now and another 36 percent said they should be allowed to attend with restrictions in place.
  • “Americans, in particular, have very, very short memories,”
    • colemorris
       
      true
knudsenlu

The History of Dice Reflects Beliefs in Fate and Chance - The Atlantic - 0 views

  • Dice, in their standard six-sided form, seem like the simplest kind of device—almost a classic embodiment of chance. But a new study of more than 100 examples from the last 2,000 years or so unearthed in the Netherlands shows that they have not always looked exactly the way they do now. What’s more, the shifts in dice’s appearance may reflect people’s changing sense of what exactly is behind a roll—fate, or probability.
  • Did it matter to game players that these dice were not fair? “We don’t know for sure,” Eerkens says. The way Romans wrote about dice falls suggests they were regarded as signs of supernatural favor or of a player’s fortune, however. The archaeologist Ellen Swift, in her book Roman Artifacts and Society, writes that high rolls had associations of benevolence and felicity, and that rolling three sixes at the same time seems to have been called a Venus. “Dice potentially played an important role in conceptualizing divine action in the world,” she writes.
  • At the same time, dice tend to get smaller, perhaps to make them easier to hide, as gambling was not favored by the increasingly powerful religious authorities. Some of the study’s dice from this era, in fact, were found all together in a small hole in a garbage heap, including one cheater’s die with an extra three. Could it be someone saw the light and forswore dice?
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  • . In the 17th century, even Galileo writes about why, in a game with three dice, the number 10 should come up more than the number 9. It’s an observation that one would only be able to detect after thousands of rolls, but the reason behind it involves how many combinations of numbers can add up to each different option.
  • All these changes in dice come about, says Eerkens, “as different astronomers are coming up with new ideas about the world, and mathematicians are starting to understand numbers and probability.” Which came first: Did people begin to intuitively understand what true chance felt like, and adjusted dice accordingly, or did it trickle out from what would eventually become known as the scientific community?
  • And it does make you wonder: Would you know that fair dice should fall equally on each side, or that in a three-dice game, it’s better to bet on 10 than nine, if someone hadn’t told you?
katherineharron

Fauci says calls for his dismissal are 'part of the game' - CNNPolitics - 0 views

  • Dr. Anthony Fauci, a key member of the White House coronavirus task force, said Monday evening that calls for his dismissal are "part of the game" as he continues to urge Americans to practice social distancing.
  • Fauci has been targeted by critics online who are unhappy with his recommendations to continue social distancing in order to slow the spread of the coronavirus.
  • "There are people that are going to be disagreeing with me. Some of them, rather violently in many respects, you know, telling me that I am crazy, fire Fauci, do this, do that. That is part of the game," Fauci told CNN's Chris Cuomo on "Cuomo Prime Time."
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  • "I feel I have a moral obligation to give the kind of information that I am giving," he said Monday. "People are going to make their own choices, I cannot -- nor anybody -- force people under every circumstance, to do what you'd think is best.
  • "This was a person's view. Not everybody's happy with Anthony. Not everybody is happy with everybody," he said. "But I will tell you, we have done a job the likes of which nobody has ever done."
Javier E

J. Robert Oppenheimer's Defense of Humanity - WSJ - 0 views

  • Von Neumann, too, was deeply concerned about the inability of humanity to keep up with its own inventions. “What we are creating now,” he said to his wife Klári in 1945, “is a monster whose influence is going to change history, provided there is any history left.” Moving to the subject of future computing machines he became even more agitated, foreseeing disaster if “people” could not “keep pace with what they create.”
  • Oppenheimer, Einstein, von Neumann and other Institute faculty channeled much of their effort toward what AI researchers today call the “alignment” problem: how to make sure our discoveries serve us instead of destroying us. Their approaches to this increasingly pressing problem remain instructive.
  • Von Neumann focused on applying the powers of mathematical logic, taking insights from games of strategy and applying them to economics and war planning. Today, descendants of his “game theory” running on von Neumann computing architecture are applied not only to our nuclear strategy, but also many parts of our political, economic and social lives. This is one approach to alignment: humanity survives technology through more technology, and it is the researcher’s role to maximize progress.
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  • he also thought that this approach was not enough. “What are we to make of a civilization,” he asked in 1959, a few years after von Neumann’s death, “which has always regarded ethics as an essential part of human life, and…which has not been able to talk about the prospect of killing almost everybody, except in prudential and game-theoretical terms?”
  • In their biography “American Prometheus,” which inspired Nolan’s film, Martin Sherwin and Kai Bird document Oppenheimer’s conviction that “the safety” of a nation or the world “cannot lie wholly or even primarily in its scientific or technical prowess.” If humanity wants to survive technology, he believed, it needs to pay attention not only to technology but also to ethics, religions, values, forms of political and social organization, and even feelings and emotions.
  • Hence Oppenheimer set out to make the Institute for Advanced Study a place for thinking about humanistic subjects like Russian culture, medieval history, or ancient philosophy, as well as about mathematics and the theory of the atom. He hired scholars like George Kennan, the diplomat who designed the Cold War policy of Soviet “containment”; Harold Cherniss, whose work on the philosophies of Plato and Aristotle influenced many Institute colleagues; and the mathematical physicist Freeman Dyson, who had been one of the youngest collaborators in the Manhattan Project. Traces of their conversations and collaborations are preserved not only in their letters and biographies, but also in their research, their policy recommendations, and in their ceaseless efforts to help the public understand the dangers and opportunities technology offers the world.
  • to design a “fairness algorithm” we need to know what fairness is. Fairness is not a mathematical constant or even a variable. It is a human value, meaning that there are many often competing and even contradictory visions of it on offer in our societies.
  • Preserving any human value worthy of the name will therefore require not only a computer scientist, but also a sociologist, psychologist, political scientist, philosopher, historian, theologian. Oppenheimer even brought the poet T.S. Eliot to the Institute, because he believed that the challenges of the future could only be met by bringing the technological and the human together. The technological challenges are growing, but the cultural abyss separating STEM from the arts, humanities, and social sciences has only grown wider. More than ever, we need institutions capable of helping them think together.
Sean Kirkpatrick

Basketball on Air Craft Carrier - 0 views

  •  
    After listening to Zach Lessner talk about his TOK moment- how it is harder to play basketball on an air craft carrier- I did some more research on the game. Other analysts said that there was increased moisture on the court, providing more slippery surfaces to play on. This could have led to injury or just a more sloppy game. Interesting.
Emily Horwitz

Can you spot the fake objects among the real ones? | Unplugged - Yahoo! Games - 0 views

  •  
    A cool video of an optical illusion that shows that our sense perception is not always correct; using the technique of anamorphosis, images are distorted so that they only appear correct from a certain angle.
Javier E

Taking back the economy: the market as a Res Publica | openDemocracy - 0 views

  • Freedom in the republican tradition requires enjoyment of the fundamental liberties with the security that only a rule of law can provide. You must be publicly protected and resourced in such a way that it is manifest to you and to all that under local (not unnecessarily restrictive) conventions: you can speak your mind, associate with your fellows, enjoy communal resources, locate where you will, move occupation and make use of what is yours, without reason for fearing anyone or deferring to anyone. You have the standing of a liber or free person; you enjoy equal status under the public order and you share equally in control over that order.
  • The rules of public order constitute the possibility of private life in the way in which the rules of a game like chess constitute the possibility of playing that game. They represent enabling (or enabling-cum-constraining) rules, not rules that merely regulate a pre-existing domain.
  • This republican image runs into sharp conflict with a more received picture, celebrated by right-wing libertarians, according to which the rules of public order regulate the private sphere rather than serving – now in the fashion of one culture, now in the fashion of another – to make it possible
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  • On the republican picture, owning is a relationship that presupposes law, if only the inchoate law of informal custom.
  • The conflict between the images is important because it shows up in alternative visions of the economy and the relationship between the economy and the state.
  • You own something only insofar as it is a matter of accepted convention that given the way you came to hold it — given public recognition of the title you have to the property — you enjoy public protection against those who would take it from you
  • This view of property, prominent in Rousseau and presupposed in the broader republican tradition, is scarcely questionable in view of the salient diversity in systems of property
  • These observations, scarcely richer than platitudes, are important for giving us a perspective on the market and the economy, undermining the libertarian image. That picture represents the market as a res privata, a private thing, suggesting that the role of the state is merely to lay low the hills in the way of the market and smooth the paths for its operation. And so it depicts any other interventions of government in the market as dubious on philosophical, not just empirical, grounds.
  • this image accounts for the continuing attachment to austerity among those on the right. They are philosophically opposed to Keynesianism, not just opposed on empirical grounds, and their ideological stance makes empirically based arguments for Keynesianism invisible to them.
Javier E

Yelp and the Wisdom of 'The Lonely Crowd' : The New Yorker - 1 views

  • David Riesman spent the first half of his career writing one of the most important books of the twentieth century. He spent the second half correcting its pervasive misprision. “The Lonely Crowd,” an analysis of the varieties of social character that examined the new American middle class
  • the “profound misinterpretation” of the book as a simplistic critique of epidemic American postwar conformity via its description of the contours of the “other-directed character,” whose identity and behavior is shaped by its relationships.
  • he never meant to suggest that Americans now were any more conformist than they ever had been, or that there’s even such a thing as social structure without conformist consensus.
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  • In this past weekend’s Styles section of the New York Times, Siegel uses “The Lonely Crowd” to analyze the putative “Yelpification” of contemporary life: according to Siegel, Riesman’s view was that “people went from being ‘inner-directed’ to ‘outer-directed,’ from heeding their own instincts and judgment to depending on the judgments and opinions of tastemakers and trendsetters.” The “conformist power of the crowd” and its delighted ability to write online reviews led Siegel down a sad path to a lackluster expensive dinner.
  • What Riesman actually suggested was that we think of social organization in terms of a series of “ideal types” along a spectrum of increasingly loose authority
  • On one end of the spectrum is a “tradition-directed” community, where we all understand that what we’re supposed to do is what we’re supposed to do because it’s just the thing that one does; authority is unequivocal, and there’s neither the room nor the desire for autonomous action
  • In the middle of the spectrum, as one moves toward a freer distribution of, and response to, authority, is “inner-direction.” The inner-directed character is concerned not with “what one does” but with “what people like us do.” Which is to say that she looks to her own internalizations of past authorities to get a sense for how to conduct her affairs.
  • Contemporary society, Riesman thought, was best understood as chiefly “other-directed,” where the inculcated authority of the vertical (one’s lineage) gives way to the muddled authority of the horizontal (one’s peers).
  • The inner-directed person orients herself by an internal “gyroscope,” while the other-directed person orients herself by “radar.”
  • It’s not that the inner-directed person consults some deep, subjective, romantically sui generis oracle. It’s that the inner-directed person consults the internalized voices of a mostly dead lineage, while her other-directed counterpart heeds the external voices of her living contemporaries.
  • “the gyroscopic mechanism allows the inner-directed person to appear far more independent than he really is: he is no less a conformist to others than the other-directed person, but the voices to which he listens are more distant, of an older generation, their cues internalized in his childhood.” The inner-directed person is, simply, “somewhat less concerned than the other-directed person with continuously obtaining from contemporaries (or their stand-ins: the mass media) a flow of guidance, expectation, and approbation.
  • Riesman drew no moral from the transition from a community of primarily inner-directed people to a community of the other-directed. Instead, he saw that each ideal type had different advantages and faced different problems
  • As Riesman understood it, the primary disciplining emotion under tradition direction is shame, the threat of ostracism and exile that enforces traditional action. Inner-directed people experience not shame but guilt, or the fear that one’s behavior won’t be commensurate with the imago within. And, finally, other-directed folks experience not guilt but a “contagious, highly diffuse” anxiety—the possibility that, now that authority itself is diffuse and ambiguous, we might be doing the wrong thing all the time.
  • Siegel is right to make the inference, if wayward in his conclusions. It makes sense to associate the anxiety of how to relate to livingly diffuse authorities with the Internet, which presents the greatest signal-to-noise-ratio problem in human history.
  • The problem with Yelp is not the role it plays, for Siegel, in the proliferation of monoculture; most people of my generation have learned to ignore Yelp entirely. It’s the fact that, after about a year of usefulness, Yelp very quickly became a terrible source of information.
  • There are several reasons for this. The first is the nature of an algorithmic response to the world. As Jaron Lanier points out in “Who Owns the Future?,” the hubris behind each new algorithm is the idea that its predictive and evaluatory structure is game-proof; but the minute any given algorithm gains real currency, all the smart and devious people devote themselves to gaming it. On Yelp, the obvious case would be garnering positive reviews by any means necessary.
  • A second problem with Yelp’s algorithmic ranking is in the very idea of using online reviews; as anybody with a book on Amazon knows, they tend to draw more contributions from people who feel very strongly about something, positively or negatively. This undermines the statistical relevance of their recommendations.
  • the biggest problem with Yelp is not that it’s a popularity contest. It’s not even that it’s an exploitable popularity contest.
  • it’s the fact that Yelp makes money by selling ads and prime placements to the very businesses it lists under ostensibly neutral third-party review
  • But Yelp’s valuations are always possibly in bad faith, even if its authority is dressed up as the distilled algorithmic wisdom of a crowd. For Riesman, that’s the worst of all possible worlds: a manipulated consumer certainty that only shores up the authority of an unchosen, hidden source. In that world, cold monkfish is the least of our problems.
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