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The Coming Software Apocalypse - The Atlantic - 1 views

www.theatlantic.com/...540393 software programming failure design
shared by Javier E on 26 Sep 17 - No Cached
  • 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.
  • ...52 more annotations...
  • 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.
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America Is Flunking Math - Persuasion - 1 views

www.persuasion.community/...ica-is-flunking-math-education STEM math education math education anti-racism Critical Theory research Science bias
shared by Javier E on 17 May 21 - No Cached
  • One can argue that the preeminence of each civilization was, in part, due to their sophisticated understanding and use of mathematics. This is particularly clear in the case of the West, which forged ahead in the 17th century with the discovery of calculus, one of the greatest scientific breakthroughs of all time.
  • The United States became the dominant force in the mathematical sciences in the wake of World War II, largely due to the disastrous genocidal policies of the Third Reich. The Nazis’ obsession with purging German science of what it viewed as nefarious Jewish influence led to a massive exodus of Jewish mathematicians and scientists to America
  • Indeed, academic institutions in the United States have thrived largely because of their ability to attract talented individuals from around the world.
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  • The quality of mathematics research in the United States today is the envy of the scientific world. This is a direct result of the openness and inclusivity of the profession.
  • Can Americans maintain this unmatched excellence in the future? There are worrisome signs that suggest not.
  • The Organization for Economic Cooperation and Development compares mathematical proficiency among 15-year-olds by country worldwide. According to its 2018 report, America ranked 37th while China, America’s main competitor for world leadership, came in first.
  • This is despite the fact that the United States is the fifth-highest spender per pupil among the 37 developed OECD nations
  • This massive failure of our K-12 education system trickles through the STEM pipeline.
  • At the undergraduate level, too few American students are prepared for higher-level mathematics courses. These students are then unprepared for rigorous graduate-level work
  • According to our own experiences at the universities where we teach, an overwhelming majority of American students with strong math backgrounds are either foreign-born or first-generation students who have additional support from their education-conscious families. At all levels, STEM disciplines are more and more dependent on a constant flow of foreign talent.
  • There are many reasons for this failure, but the way that we educate and prepare teachers is particularly influential. The vast majority of K-12 math teachers are graduates of teacher-preparation programs that teach very little substantive mathematics
  • This has led to a constant stream of ill-advised and dumbed-down reforms. One of the latest fads is anti-racist mathematics. Promoted in several states, the bizarre doctrine threatens to further degrade the teaching of mathematics.
  • Another major concern is the twisted interpretation of diversity, equity, and inclusion (DEI).
  • Under the banner of DEI, universities are abandoning the use of standardized tests like the SAT and GRE in admissions, and cities are considering scrapping academic tracking and various gifted programs in schools, which they deem “inequitable.”
  • such programs are particularly effective, when properly implemented, at discovering and encouraging talented children from disadvantaged backgrounds.
  • The new 2021 Mathematics Framework, currently under consideration by California’s Department of Education, does away “with all tracking, acceleration, gifted programs, or any instruction that involves clustering by individual differences, without expressing any awareness of the impact these drastic alterations would have in preparing STEM-ready candidates.”
  • These measures will not only hinder the progress of the generations of our future STEM workforce but also contribute to structural inequalities, as they are uniquely detrimental to students whose parents cannot send them to private schools or effective enrichment programs.
  • These are just a few examples of an unprecedented fervor for revolutionary change in the name of Critical Race Theory (CRT), a doctrine that views the world as a fierce battleground for the narratives of various identity groups.
  • This will only lead to a further widening of racial disparities in educational outcomes while lowering American children’s rankings in education internationally.
  • Ill-conceived DEI policies, often informed by CRT, and the declining standards of K-12 math education feed each other in a vicious circle
  • Regarding minorities, in particular, public K-12 education all too often produces students unprepared to compete, thus leading to large disparities in admissions at universities, graduate programs, and faculty positions. This disparity is then condemned as a manifestation of structural racism, resulting in administrative measures to lower the evaluation criteria. Lowering standards at all levels leads eventually to even worse outcomes and larger disparities, and so on in a downward spiral.
  • A case in point is the recent report by the American Mathematical Society that accuses the entire mathematics community, with the thinnest of specific evidence, of systemic racial discrimination. A major justification put forward for such a grave accusation is the lack of sufficient representation of Black mathematicians in the professio
  • the report, while raising awareness of several ugly facts from the long-ago past, makes little effort to address the real reasons for this, mainly the catastrophic failure of the K-12 mathematical educational system.
  • The National Science Foundation, a federal institution meant to support fundamental research, is now diverting some of its limited funding to various DEI initiatives of questionable benefit.
  • Meanwhile, other countries, especially China, are doing precisely the opposite, following the model of our past dedication to objective measures of excellence. How long before we will see a reverse exodus, away from the United States?
  • The present crisis can still be reversed by focusing on a few concrete actions:
  • Improve schools in urban areas and inner-city neighborhoods by following the most promising education programs. These programs demonstrate that inner-city children benefit if they are challenged by high standards and a nurturing environment.
  • Follow the lead of other highly successful rigorous programs such as BASIS schools and Math for America, which focus on rigorous STEM curricula, combined with 21st-century teaching methods, and recruit talented teachers to help them build on their STEM knowledge and teaching methods.
  • Increase, rather than eliminate, tailored instruction, both for accelerated and remedial math courses.
  • Reject the soft bigotry of low expectations, that Black children cannot do well in competitive mathematics programs and need dumbed-down ethnocentric versions of mathematics.
  • Uphold the objective selection process based on merit at all levels of education and research.
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The Importance of Logic and Critical Thinking | WIRED - 0 views

www.wired.com/...nce-of-logic-critical-thinking
shared by mshilling1 on 16 Jan 21 - No Cached
  • The rationality of the world is what is at risk. Too many people are taken advantage of because of their lack of critical thinking, logic and deductive reasoning
  • These same people are raising children without these same skills, creating a whole new generation of clueless people.
  • However, valid logic does not always guarantee truth or a sound argument.
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  • Valid logic is when the structure of logic is correct in the way of syntax and semantics rather than truth.
  • The basic lesson here is that, while the logic above might seem valid because of the structure of the statement, it takes a further understanding to figure out why it's not necessarily true
  • The underlying lesson here is not to immediately assume everything you read or are told is true, something all children need to and should learn.
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Taking On Adam Smith (and Karl Marx) - The New York Times - 0 views

www.nytimes.com/...-adam-smith-and-karl-marx.html capitalism
shared by runlai_jiang on 15 Jan 18 - No Cached
  • “This sort of vaccinated me for life against lazy, anticapitalist rhetoric, because when you see these empty shops, you see these people queuing for nothing in the street,” he said, “it became clear to me that we need private property and market institutions, not just for economic efficiency but for personal freedom.”
  • But his disenchantment with communism doesn’t mean that Mr. Piketty has turned his back on the intellectual heritage of Karl Marx, who sought to explain the “iron laws” of capitalism. Like Marx, he is fiercely critical of the economic and social inequalities that untrammeled capitalism produces — and, he concludes, will continue to worsen. “I belong to a generation that never had any temptation with the Communist Party; I was too young for that,” Mr. Piketty said, in
  • In his new book “Capital in the Twenty-First Century” (Harvard University Press), Mr. Piketty, 42, has written a blockbuster, at least in the world of economics. His book punctures earlier assumptions about the benevolence of advanced capitalism and forecasts sharply increasing inequality of wealth in industrialized countries, with deep and deleterious impact on democratic values of justice and fairness.
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  • Branko Milanovic, a former economist at the World Bank, called it “one of the watershed books in economic thinking.
  • “Capital in the Twenty-First Century,” with its title echoing Marx’s “Das Kapital,” is meant to be a return to the kind of economic history, of political economy, written by predecessors like Marx and Adam Smith. It is nothing less than a broad effort to understand Western societies and the economic rules that underpin them.
  • he said, are his generation’s “founding experiences”: the collapse of Communism, the economic degradation of Eastern Europe and the first Gulf War, in 1991.
  • Those events motivated him to try to understand a world where economic ideas had such bad consequences. As for the Gulf War, it showed him that “governments can do a lot in terms of redistribution of wealth when they want.” The rapid intervention to fo
  • The reason that postwar economies looked different — that inequality fell — was historical catastrophe. World War I, the Depression and World War II destroyed huge accumulations of private capital, especially in Europe. What the French call “les
  • In 2012 the top 1 percent of American households collected 22.5 percent of the nation’s income, the highest total since 1928. The richest 10 percent of Americans now take a larger slice of the pie than in 1913, at the close of the Gilded Age, owning more than 70 percent of the nation’s wealth. And half of that is owned by the top 1 percent. Advertisement Continue reading the main story Mr. Piketty, father of three daughters — 11, 13 and 16 — is no revolutionary. He is a member of no political party, and says he never served as an economic adviser to any politician. He calls himself a pragmatist, who simply follows the data.
  • Net wealth is a better indicator of ability to pay than income alone, he said. “All I’m proposing is to reduce the property tax on half or three-quarters of the population who have very little wealth,” he said. Write A Comment Published a year ago in French, the book is not without critics, especially of Mr. Piketty’s policy prescriptions, which have been called politically naïve. Others point out that some of the increase in capital is because of aging populations and postwar pension plans, which are not necessarily inherited.More criticism is sure to come, and Mr. Piketty says he welcomes it. “I’m certainly looking forward to the debate.”
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How Emotions Guide Our Lives | Psychology Today - 0 views

www.psychologytoday.com/...how-emotions-guide-our-lives
shared by marleen_ueberall on 26 Oct 19 - No Cached
  • Emotions guide our lives in a million ways
  • most of us don’t realize the extent to which they are driving our thoughts and behavior.
  • Our emotions can offer us clues into who we are as well as how we’ve been affected by our history. Many of our actions are initiated by emotion,
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  • Primary emotions are our first emotional reaction. They’re often followed by a more defended secondary emotion.
  • However, if we look at our initial reaction, our primary emotion, we may recognize that we had more vulnerable feelings, such as feeling hurt, unwanted, or ashamed
  • t is a vital feeling that often leaves the [person] feeling very open and perhaps vulnerable.”
  • If we imagine a moment of feeling tense, frustrated or stuck in a bad feeling, driven to react without a sense of relief, we were probably caught in a secondary emotion
  • able to access the deeper, more vulnerable feeling, perhaps a want or a need, or a core feeling of sadness or shame, we were then experiencing a primary emotion
  • Primary emotions can be either adaptive reactions to the moment or maladaptive reactions based on schemas from our past.
  • We may experience what I often refer to as a “critical inner voice,” a negative internal commentary that tells us things like, “You made such a fool of yourself. Look at how they’re looking at you. They all think you’re an idiot. You should just get out of here.”
  • The maladaptive secondary emotions can also lead us to react in ways that are not in our best interest: lashing out to defend ourselves, acting resentful or enraged, driven by thoughts
  • The good news is we can transform our emotions to become adaptive.
  • We can take our side by challenging our critical self-attacks and, thereby, offering ourselves compassion and love.
  • When we live in harmony with our emotions, we become more in touch with who we are.
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It will take critical, thorough scrutiny to truly decolonise knowledge - 0 views

theconversation.com/uly-decolonise-knowledge-78477
shared by tongoscar on 27 Oct 19 - No Cached
  • Decolonisation is not always a welcome concept in some quarters of academia.
  • Academics are much happier asserting that knowledge is power than they are conceding that power is knowledge.
  • Decolonisation is sometimes presented, not as an attempt to resurrect the dispassionate search for knowledge, but as a rejection of the idea of objectivity, which is seen as a sort of heritage of colonial thinking.
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  • The ideas of the ruling class are in every epoch the ruling ideas.
  • Critical decolonisation means accepting risk of error. It means considering whether indigenous knowledge systems might contain truths that western science has not accessed. But it also means accepting that in some cases indigenous knowledge systems might be wrong.
  • The better approach is to seek an explanation for the difference: in this case, that the role of mothers in buying and distributing food differs between the two places. One can reject universal truths without endorsing relativism.
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Is politics getting in the way of assessing which films are actually good? | Jessa Cris... - 0 views

www.theguardian.com/...eeing-important-mediocre-films politics opinion psychology
shared by johnsonel7 on 14 Jan 20 - No Cached
  • If cinema had the impact on the world that film critics insisted they did in 2019, Joker would have brought about an incel revolution, and Little Women would have ended misogyny.
  • This was the year police departments issued warnings about the possibility of mass shootings at opening-night screenings of Joker, after all. It was a hysteria that built online after film critics saw the movie at festivals and started to complain it somehow “glamorized” or sympathized with violent incels.
  • But if you insist that a movie is important, you don’t really have to deal with whether or not it’s good. You can shame people into seeing it as a political statement, rather than as an entertainment or cultural selection. Same with the “dangerous” or “disturbing” moniker, which got used on everything from Joker to the latest Quentin Tarantino film Once Upon a Time … in Hollywood, which was marked down for everything from not giving its female co-star Margot Robbie enough lines to its gratuitous violence against a female would-be murderer to its filming of women’s feet (fetishes are now dangerous, I guess). If a critic doesn’t like a film, labeling it as dangerous – and implying you might get killed if you go see it – is an attempt to keep people away.
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  • Saudi Arabia has been showing Black Panther in its theaters, too – the first commercially released film to be screened in almost 35 years in this repressive, autocratic regime. And that’s a political victory too. For the repressive, autocratic regime, of course. Because as revolutionary as Black Panther was hailed as being in America, it is ultimately the story of a monarchy triumphing over the challenge presented by a rebellious force. It turns out that it makes for good propaganda for the Saudi monarchy. Oh, the irony.
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Theodore Roosevelt on the Cowardice of Cynicism and the Courage to Create Rather Than T... - 0 views

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  • The poorest way to face life is to face it with a sneer. There are many men who feel a kind of twister pride in cynicism; there are many who confine themselves to criticism of the way others do what they themselves dare not even attempt
  • There is nothing quite so tragic as a young cynic,” Maya Angelou wrote in contemplating courage in the face of evil, “because it means the person has gone from knowing nothing to believing nothing.”
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How Zeynep Tufekci Keeps Getting the Big Things Right - The New York Times - 0 views

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  • When the Centers for Disease Control and Prevention told Americans in January that they didn’t need to wear masks, Dr. S. Vincent Rajkumar, a professor at the Mayo Clinic and the editor of the Blood Cancer Journal, couldn’t believe his ears.
  • “Here I am, the editor of a journal in a high profile institution, yet I didn’t have the guts to speak out that it just doesn’t make sense,” Dr. Rajkumar told me. “Everybody should be wearing masks.”
  • Ms. Tufekci, an associate professor at the University of North Carolina’s School of Information and Library Science with no obvious qualifications in epidemiology, came out against the C.D.C. recommendation in a March 1 tweetstorm before expanding on her criticism in a March 17 Op-Ed article for The New York Times.
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  • The C.D.C. changed its tune in April, advising all Americans above the age of 2 to wear masks to slow the spread of the coronavirus. Michael Basso, a senior health scientist at the agency who had been pushing internally to recommend masks, told me Ms. Tufekci’s public criticism of the agency was the “tipping point.”
  • Ms. Tufekci, a 40-something who speaks a mile a minute with a light Turkish accent, has none of the trappings of the celebrity academic or the professional pundit. But long before she became perhaps the only good amateur epidemiologist, she had quietly made a habit of being right on the big things.
  • In 2011, she went against the current to say the case for Twitter as a driver of broad social movements had been oversimplified. In 2012, she warned news media outlets that their coverage of school shootings could inspire more. In 2013, she argued that Facebook could fuel ethnic cleansing. In 2017, she warned that YouTube’s recommendation algorithm could be used as a tool of radicalization.
  • And when it came to the pandemic, she sounded the alarm early while also fighting to keep parks and beaches open.
  • “I’ve just been struck by how right she has been,” said Julia Marcus, an infectious disease epidemiologist at Harvard Medical School.
  • She told me she chalks up her habits of mind in part to a childhood she wouldn’t wish on anyone.
  • Mr. Goff was enthusing about the campaign’s ability to send different messages to individual voters based on the digital data it had gathered about them. Ms. Tufekci quickly objected to the practice, saying that microtargeting would more likely be used to sow division.
  • An international point of view she picked up while bouncing as a child between Turkey and Belgium and then working in the United States.
  • Knowledge that spans subject areas and academic disciplines, which she happened onto as a computer programmer who got into sociology.
  • A habit of complex, systems-based thinking, which led her to a tough critique in The Atlantic of America’s news media in the run-up to the pandemic
  • it began, she says, with growing up in an unhappy home in Istanbul. She said her alcoholic mother was liable to toss her into the street in the early hours of the morning. She found some solace in science fiction — Ursula K. Le Guin was a favorite — and in the optimistic, early internet.
  • Perhaps because of a kind of egalitarian nerd ideology that has served her well, she never sought to meet the rebels’ charismatic leader, known as Subcomandante Marcos.
  • “I have a thing that fame and charisma screws with your head,” she said. “I’ve made an enormous effort throughout my life to preserve my thinking.”
  • While many American thinkers were wide-eyed about the revolutionary potential of social media, she developed a more complex view, one she expressed when she found herself sitting to the left of Teddy Goff, the digital director for President Obama’s re-election campaign, at a South by Southwest panel in Austin in 2012
  • “A bunch of things came together, which I’m happy I survived,” she said, sitting outside a brick house she rents for $2,300 a month in Chapel Hill, N.C., where she is raising her 11-year-old son as a single parent. “But the way they came together was not super happy, when it was happening.”
  • “At a time when everybody was being stupidly optimistic about the potential of the internet, she didn’t buy the hype,” he told me. “She was very prescient in seeing that there would be a deeper rot to the role of data-driven politics in our world.”
  • Many tech journalists, entranced by the internet-fueled movements sweeping the globe, were slow to spot the ways they might fail, or how social media could be used against them. Ms. Tufekci, though, had “seen movement after movement falter because of a lack of organizational depth and experience, of tools or culture for collective decision making, and strategic, long-term action,” she wrote in her 2017 book, “Twitter and Tear Gas.”
  • One of the things that makes Ms. Tufekci stand out in this gloomy moment is her lack of irony or world-weariness. She is not a prophet of doom, having hung on to an early-internet optimism
  • Ms. Tufekci has taught epidemiology as a way to introduce her students to globalization and to make a point about human nature: Politicians and the news media often expect looting and crime when disaster strikes, as they did when Hurricane Katrina hit New Orleans in 2005. But the reality on the ground has more to do with communal acts of generosity and kindness, she believes.
  • Her March column on masks was among the most influential The Times has published, although — or perhaps because —  it lacked the political edge that brings wide attention to an opinion piece.
  • “The real question is not whether Zuck is doing what I like or not,” she said. “The real question is why he’s getting to decide what hate speech is.”
  • She also suggested that we may get it wrong when we focus on individuals — on chief executives, on social media activists like her. The probable answer to a media environment that amplifies false reports and hate speech, she believes, is the return of functional governments, along with the birth of a new framework, however imperfect, that will hold the digital platforms responsible for what they host.
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Free Speech and Civic Virtue between "Fake News" and "Wokeness" | History News Network - 1 views

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  • none of these arguments reaches past adversarial notions of democracy. They all characterize free speech as a matter of conflicting rights-claims and competing factions.
  • As long as political polarization precludes rational consensus, she argues, we are left to “[make] personal choices and pronouncements regarding what we are willing (or unwilling) to tolerate, in an attempt to slightly nudge the world in our preferred direction.” Notably, she makes no mention of how we might discern the validity of those preferences or how we might arbitrate between them in cases of conflict.
  • Free speech advocates are hypocritical or ignore some extenuating context, they claim, while those stifling disagreeable or offensive views are merely rectifying past injustices or paying their opponents back in kind, operating practically in a flawed public sphere.
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  • It is telling, however, that the letter’s critics focus on speakers and what they deserve to say far more than the listening public and what we deserve to hear
  • In Free Speech and Its Relation to Self-Government (1948), Meikeljohn challenges us to approach public discourse from the perspective of the “good man”: that is to say, the virtuous citizen
  • One cannot appreciate the freedom of speech, he writes, unless one sees it as an act of collective deliberation, carried out by “a man who, in his political activities, is not merely fighting for what…he can get, but is eagerly and generously serving the common welfare”
  • Free speech is not only about discovering truth, or encouraging ethical individualism, or protecting minority opinions—liberals’ usual lines of defense—it is ultimately about binding our fate to others’ by “sharing” the truth with our fellow citizens
  • Sharing truth requires mutual respect and a jealous defense of intellectual freedom, so that “no idea, no opinion, no doubt, no belief, no counter belief, no relevant information” is withheld from the electorate
  • For their part, voters must judge these arguments individually, through introspection, virtue, and meditation on the common good. 
  • The “marketplace of ideas” is dangerous because it relieves citizens of exactly these duties. As Meikeljohn writes:   As separate thinkers, we have no obligation to test our thinking, to make sure that it is worthy of a citizen who is one of the ‘rulers of the nation.’ That testing is to be done, we believe, not by us, but by ‘the competition of the market.
  • this is precisely the sort of self-interested posturing that many on the Left resent in their opponents, but which they now propose to embrace as their own, casually accepting the notion that their fellow citizens are incapable of exercising public reason or considering alternative viewpoints with honesty, bravery, humility, and compassion. 
  • In practice, curtailing public speech is likely to worsen polarization and further empower dominant cultural interests. As an ideal (or a lack thereof), it undermines the intelligibility and mutual respect that form the very basis of citizenship.
  • political polarization has induced Americans to abandon “truth-directed methods of persuasion”—such as argumentation and evidence—for a form of non-rational “messaging,” in which “every speech act is classified as friend or foe… and in which very little faith exists as to the rational faculties of those being spoken to.”
  • “In such a context,” she writes, “even the cry for ‘free speech’ invites a nonliteral interpretation, as being nothing but the most efficient way for its advocates to acquire or consolidate power.”
  • Segments of the Right have pushed this sort of political messaging to its cynical extremes—taking Donald Trump’s statements “seriously but not literally” or taking antagonistic positions simply to “own the libs.”
  • Rather than assuming the supremacy of our own opinions or aspersing the motives of those with whom we disagree, our duty as Americans is to think with, learn from, and correct each other.
  • some critics of the Harper’s letter seem eager to reduce all public debate to a form of power politics
  • Trans activist Julia Serano merely punctuates the tendency when she writes that calls for free speech represent a “misconception that we, as a society, are all in the midst of some grand rational debate, and that marginalized people simply need to properly plea our case for acceptance, and once we do, reason-minded people everywhere will eventually come around. This notion is utterly ludicrous.”
  • one could say that critics of the Harper’s letter take the “bad man” as their unit of analysis. By their lights, all participants in public debate are prejudiced, particular, and self-interested
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How a dose of MDMA transformed a white supremacist - BBC Future - 0 views

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  • February 2020, Harriet de Wit, a professor of psychiatry and behavioural science at the University of Chicago, was running an experiment on whether the drug MDMA increased the pleasantness of social touch in healthy volunteers
  • The latest participant in the double-blind trial, a man named Brendan, had filled out a standard questionnaire at the end. Strangely, at the very bottom of the form, Brendan had written in bold letters: "This experience has helped me sort out a debilitating personal issue. Google my name. I now know what I need to do."
  • They googled Brendan's name, and up popped a disturbing revelation: until just a couple of months before, Brendan had been the leader of the US Midwest faction of Identity Evropa, a notorious white nationalist group rebranded in 2019 as the American Identity Movement. Two months earlier, activists at Chicago Antifascist Action had exposed Brendan's identity, and he had lost his job.
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  • "Go ask him what he means by 'I now know what I need to do,'" she instructed Bremmer. "If it's a matter of him picking up an automatic rifle or something, we have to intervene."
  • As he clarified to Bremmer, love is what he had just realised he had to do. "Love is the most important thing," he told the baffled research assistant. "Nothing matters without
  • When de Wit recounted this story to me nearly two years after the fact, she still could hardly believe it. "Isn't that amazing?" she said. "It's what everyone says about this damn drug, that it makes people feel love. To think that a drug could change somebody's beliefs and thoughts without any expectations – it's mind-boggling."
  • Over the past few years, I've been investigating the scientific research and medical potential of MDMA for a book called "I Feel Love: MDMA and the Quest for Connection in a Fractured World". I learnt how this once-vilified drug is now remerging as a therapeutic agent – a role it previously played in the 1970s and 1980s, prior to its criminalisation
  • He attended the notorious "Unite the Right" rally in Charlottesville and quickly rose up the ranks of his organisation, first becoming the coordinator for Illinois and then the entire Midwest. He travelled to Europe and around the US to meet other white nationalist groups, with the ultimate goal of taking the movement mainstream
  • some researchers have begun to wonder if it could be an effective tool for pushing people who are already somehow primed to reconsider their ideology toward a new way of seeing things
  • While MDMA cannot fix societal-level drivers of prejudice and disconnection, on an individual basis it can make a difference. In certain cases, the drug may even be able to help people see through the fog of discrimination and fear that divides so many of us.
  • in December 2021 I paid Brendan a visit
  • What I didn't expect was how ordinary the 31-year-old who answered the door would appear to be: blue plaid button-up shirt, neatly cropped hair, and a friendly smile.
  • Brendan grew up in an affluent Chicago suburb in an Irish Catholic family. He leaned liberal in high school but got sucked into white nationalism at the University of Illinois Urbana-Champaign, where he joined a fraternity mostly composed of conservative Republican men, began reading antisemitic conspiracy books, and fell down a rabbit hole of racist, sexist content online. Brendan was further emboldened by the populist rhetoric of Donald Trump during his presidential campaign. "His speech talking about Mexicans being rapists, the fixation on the border wall and deporting everyone, the Muslim ban – I didn't really get white nationalism until Trump started running for president," Brendan said.
  • If this comes to pass, MDMA – and other psychedelics-assisted therapy – could transform the field of mental health through widespread clinical use in the US and beyond, for addressing trauma and possibly other conditions as well, including substance use disorders, depression and eating disorders.
  • A group of anti-fascist activists published identifying information about him and more than 100 other people in Identity Evropa. He was immediately fired from his job and ostracised by his siblings and friends outside white nationalism.
  • When Brendan saw a Facebook ad in early 2020 for some sort of drug trial at the University of Chicago, he decided to apply just to have something to do and to earn a little money
  • At the time, Brendan was "still in the denial stage" following his identity becoming public, he said. He was racked with regret – not over his bigoted views, which he still held, but over the missteps that had landed him in this predicament.
  • About 30 minutes after taking the pill, he started to feel peculiar. "Wait a second – why am I doing this? Why am I thinking this way?" he began to wonder. "Why did I ever think it was okay to jeopardise relationships with just about everyone in my life?"
  • Just then, Bremmer came to collect Brendan to start the experiment. Brendan slid into an MRI, and Bremmer started tickling his forearm with a brush and asked him to rate how pleasant it felt. "I noticed it was making me happier – the experience of the touch," Brendan recalled. "I started progressively rating it higher and higher." As he relished in the pleasurable feeling, a single, powerful word popped into his mind: connection.
  • It suddenly seemed so obvious: connections with other people were all that mattered. "This is stuff you can't really put into words, but it was so profound," Brendan said. "I conceived of my relationships with other people not as distinct boundaries with distinct entities, but more as we-are-all-on
  • I realised I'd been fixated on stuff that doesn't really matter, and is just so messed up, and that I'd been totally missing the point. I hadn't been soaking up the joy that life has to offer."
  • Brendan hired a diversity, equity, and inclusion consultant to advise him, enrolled in therapy, began meditating, and started working his way through a list of educational books. S still regularly communicates with Brendan and, for his part, thinks that Brendan is serious in his efforts to change
  • "I think he is trying to better himself and work on himself, and I do think that experience with MDMA had an impact on him. It's been a touchstone for growth, and over time, I think, the reflection on that experience has had a greater impact on him than necessarily the experience itself."
  • Brendan is still struggling, though, to make the connections with others that he craves. When I visited him, he'd just spent Thanksgiving alone
  • He also has not completely abandoned his bigoted ideology, and is not sure that will ever be possible. "There are moments when I have racist or antisemitic thoughts, definitely," he said. "But now I can recognise that those kinds of thought patterns are harming me more than anyone else."
  • it's not without precedent. In the 1980s, for example, an acquaintance of early MDMA-assisted therapy practitioner Requa Greer administered the drug to a pilot who had grown up in a racist home and had inherited those views. The pilot had always accepted his bigoted way of thinking as being a normal, accurate reflection of the way things were. MDMA, however, "gave him a clear vision that unexamined racism was both wrong and mean," Greer says
  • Encouraging stories of seemingly spontaneous change appear to be exceptions to the norm, however, and from a neurological point of view, this makes sense
  • Research shows that oxytocin – one of the key hormones that MDMA triggers neurons to release – drives a "tend and defend" response across the animal kingdom. The same oxytocin that causes a mother bear to nurture her newborn, for example, also fuels her rage when she perceives a threat to her cub. In people, oxytocin likewise strengthens caregiving tendencies toward liked members of a person's in-group and strangers perceived to belong to the same group, but it increases hostility toward individuals from disliked groups
  • In a 2010 study published in Science, for example, men who inhaled oxytocin were three times more likely to donate money to members of their team in an economic game, as well as more likely to harshly punish competing players for not donating enough. (Read more: "The surprising downsides of empathy.")
  • According to research published this week in Nature by Johns Hopkins University neuroscientist Gül Dölen, MDMA and other psychedelics – including psilocybin, LSD, ketamine and ibogaine – work therapeutically by reopening a critical period in the brain. Critical periods are finite windows of impressionability that typically occur in childhood, when our brains are more malleable and primed to learn new things
  • Dölen and her colleagues' findings likewise indicate that, without the proper set and setting, MDMA and other psychedelics probably do not reopen critical periods, which means they will not have a spontaneous, revelatory effect for ridding someone of bigoted beliefs.
  • In the West, plenty of members of right-wing authoritarian political movements, including neo-Nazi groups, also have track records of taking MDMA and other psychedelics
  • This suggests, researchers write, that psychedelics are nonspecific, "politically pluripotent" amplifiers of whatever is going on in somebody's head, with no particular directional leaning "on the axes of conservatism-liberalism or authoritarianism-egalitarianism."
  • That said, a growing body of scientific evidence indicates that the human capacity for compassion, kindness, empathy, gratitude, altruism, fairness, trust, and cooperation are core features of our natures
  • As Emory University primatologist Frans de Waal wrote, "Empathy is the one weapon in the human repertoire that can rid us of the curse of xenophobia."
  • Ginsberg also envisions using the drug in workshops aimed at eliminating racism, or as a means of bringing people together from opposite sides of shared cultural histories to help heal intergenerational trauma. "I think all psychedelics have a role to play, but I think MDMA has a particularly key role because you're both expanded and present, heart-open and really able to listen in a new way," Ginsberg says. "That's something really powerful."
  • "If you give MDMA to hard-core haters on each side of an issue, I don't think it'll do a lot of good,"
  • if you start with open-minded people on both sides, then I think it can work. You can improve communications and build empathy between groups, and help people be more capable of analysing the world from a more balanced perspective rather than from fear-based, anxiety-based distrust."
  • In 2021, Ginsberg and Doblin were coauthors on a study investigating the possibility of using ayahuasca – a plant-based psychedelic – in group contexts to bridge divides between Palestinians and Israelis, with positive findings
  • "I kind of have a fantasy that maybe as we get more reacquainted with psychedelics, there could be group-based experiences that build community resiliency and are intentionally oriented toward breaking down barriers between people, having people see things from other perspectives and detribalising our society,
  • "But that's not going to happen on its own. It would have to be intentional, and – if it happens – it would probably take multiple generations."
  • Based on his experience with extremism, Brendan agreed with expert takes that no drug, on its own, will spontaneously change the minds of white supremacists or end political conflict in the US
  • he does think that, with the right framing and mindset, MDMA could be useful for people who are already at least somewhat open to reconsidering their ideologies, just as it was for him. "It helped me see things in a different way that no amount of therapy or antiracist literature ever would have done," he said. "I really think it was a breakthrough experience."
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When a Shitposter Runs a Social Media Platform - The Bulwark - 0 views

www.thebulwark.com/r-runs-a-social-media-platform social media musk radicalization
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  • This is an unfortunate and pernicious pattern. Musk often refers to himself as moderate or independent, but he routinely treats far-right fringe figures as people worth taking seriously—and, more troublingly, as reliable sources of information.
  • By doing so, he boosts their messages: A message retweeted by or receiving a reply from Musk will potentially be seen by millions of people.
  • Also, people who pay for Musk’s Twitter Blue badges get a lift in the algorithm when they tweet or reply; because of the way Twitter Blue became a culture war front, its subscribers tend to skew to the righ
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  • The important thing to remember amid all this, and the thing that has changed the game when it comes to the free speech/content moderation conversation, is that Elon Musk himself loves conspiracy theorie
  • The media isn’t just unduly critical—a perennial sore spot for Musk—but “all news is to some degree propaganda,” meaning he won’t label actual state-affiliated propaganda outlets on his platform to distinguish their stories from those of the New York Times.
  • In his mind, they’re engaged in the same activity, so he strikes the faux-populist note that the people can decide for themselves what is true, regardless of objectively very different track records from different sources.
  • Musk’s “just asking questions” maneuver is a classic Trump tactic that enables him to advertise conspiracy theories while maintaining a sort of deniability.
  • At what point should we infer that he’s taking the concerns of someone like Loomer seriously not despite but because of her unhinged beliefs?
  • Musk’s skepticism seems largely to extend to criticism of the far-right, while his credulity for right-wing sources is boundless.
  • This is part of the argument for content moderation that limits the dispersal of bullshit: People simply don’t have the time, energy, or inclination to seek out the boring truth when stimulated by some online outrage.
  • Refuting bullshit requires some technological literacy, perhaps some policy knowledge, but most of all it requires time and a willingness to challenge your own prior beliefs, two things that are in precious short supply online.
  • Brandolini’s Law holds that the amount of energy needed to refute bullshit is an order of magnitude bigger than that needed to produce it.
  • Here we can return to the example of Loomer’s tweet. People did fact-check her, but it hardly matters: Following Musk’s reply, she ended up receiving over 5 million views, an exponentially larger online readership than is normal for her. In the attention economy, this counts as a major win. “Thank you so much for posting about this, @elonmusk!” she gushed in response to his reply. “I truly appreciate it.”
  • the problem isn’t limited to elevating Loomer. Musk had his own stock of misinformation to add to the pile. After interacting with her account, Musk followed up last Tuesday by tweeting out last week a 2021 Federalist article claiming that Facebook founder Mark Zuckerberg had “bought” the 2020 election, an allegation previously raised by Trump and others, and which Musk had also brought up during his recent interview with Tucker Carlson.
  • If Zuckerberg wanted to use his vast fortune to tip the election, it would have been vastly more efficient to create a super PAC with targeted get-out-the-vote operations and advertising. Notwithstanding legitimate criticisms one can make about Facebook’s effect on democracy, and whatever Zuckerberg’s motivations, you have to squint hard to see this as something other than a positive act addressing a real problem.
  • It’s worth mentioning that the refutations I’ve just sketched of the conspiratorial claims made by Loomer and Musk come out to around 1,200 words. The tweets they wrote, read by millions, consisted of fewer than a hundred words in total. That’s Brandolini’s Law in action—an illustration of why Musk’s cynical free-speech-over-all approach amounts to a policy in favor of disinformation and against democracy.
  • Moderation is a subject where Zuckerberg’s actions provide a valuable point of contrast with Musk. Through Facebook’s independent oversight board, which has the power to overturn the company’s own moderation decisions, Zuckerberg has at least made an effort to have credible outside actors inform how Facebook deals with moderation issues
  • Meanwhile, we are still waiting on the content moderation council that Elon Musk promised last October:
  • The problem is about to get bigger than unhinged conspiracy theorists occasionally receiving a profile-elevating reply from Musk. Twitter is the venue that Tucker Carlson, whom advertisers fled and Fox News fired after it agreed to pay $787 million to settle a lawsuit over its election lies, has chosen to make his comeback. Carlson and Musk are natural allies: They share an obsessive anti-wokeness, a conspiratorial mindset, and an unaccountable sense of grievance peculiar to rich, famous, and powerful men who have taken it upon themselves to rail against the “elites,” however idiosyncratically construed
  • f the rumors are true that Trump is planning to return to Twitter after an exclusivity agreement with Truth Social expires in June, Musk’s social platform might be on the verge of becoming a gigantic rec room for the populist right.
  • These days, Twitter increasingly feels like a neighborhood where the amiable guy-next-door is gone and you suspect his replacement has a meth lab in the basement.
  • even if Twitter’s increasingly broken information environment doesn’t sway the results, it is profoundly damaging to our democracy that so many people have lost faith in our electoral system. The sort of claims that Musk is toying with in his feed these days do not help. It is one thing for the owner of a major source of information to be indifferent to the content that gets posted to that platform. It is vastly worse for an owner to actively fan the flames of disinformation and doubt.
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Opinion | Noam Chomsky: The False Promise of ChatGPT - The New York Times - 0 views

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  • we fear that the most popular and fashionable strain of A.I. — machine learning — will degrade our science and debase our ethics by incorporating into our technology a fundamentally flawed conception of language and knowledge.
  • OpenAI’s ChatGPT, Google’s Bard and Microsoft’s Sydney are marvels of machine learning. Roughly speaking, they take huge amounts of data, search for patterns in it and become increasingly proficient at generating statistically probable outputs — such as seemingly humanlike language and thought
  • if machine learning programs like ChatGPT continue to dominate the field of A.I
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  • , we know from the science of linguistics and the philosophy of knowledge that they differ profoundly from how humans reason and use language. These differences place significant limitations on what these programs can do, encoding them with ineradicable defects.
  • It is at once comic and tragic, as Borges might have noted, that so much money and attention should be concentrated on so little a thing — something so trivial when contrasted with the human mind, which by dint of language, in the words of Wilhelm von Humboldt, can make “infinite use of finite means,” creating ideas and theories with universal reach.
  • The human mind is not, like ChatGPT and its ilk, a lumbering statistical engine for pattern matching, gorging on hundreds of terabytes of data and extrapolating the most likely conversational response or most probable answer to a scientific question
  • the human mind is a surprisingly efficient and even elegant system that operates with small amounts of information; it seeks not to infer brute correlations among data points but to create explanations
  • such programs are stuck in a prehuman or nonhuman phase of cognitive evolution. Their deepest flaw is the absence of the most critical capacity of any intelligence: to say not only what is the case, what was the case and what will be the case — that’s description and prediction — but also what is not the case and what could and could not be the case
  • Those are the ingredients of explanation, the mark of true intelligence.
  • Here’s an example. Suppose you are holding an apple in your hand. Now you let the apple go. You observe the result and say, “The apple falls.” That is a description. A prediction might have been the statement “The apple will fall if I open my hand.”
  • an explanation is something more: It includes not only descriptions and predictions but also counterfactual conjectures like “Any such object would fall,” plus the additional clause “because of the force of gravity” or “because of the curvature of space-time” or whatever. That is a causal explanation: “The apple would not have fallen but for the force of gravity.” That is thinking.
  • The crux of machine learning is description and prediction; it does not posit any causal mechanisms or physical laws
  • any human-style explanation is not necessarily correct; we are fallible. But this is part of what it means to think: To be right, it must be possible to be wrong. Intelligence consists not only of creative conjectures but also of creative criticism. Human-style thought is based on possible explanations and error correction, a process that gradually limits what possibilities can be rationally considered.
  • ChatGPT and similar programs are, by design, unlimited in what they can “learn” (which is to say, memorize); they are incapable of distinguishing the possible from the impossible.
  • Whereas humans are limited in the kinds of explanations we can rationally conjecture, machine learning systems can learn both that the earth is flat and that the earth is round. They trade merely in probabilities that change over time.
  • For this reason, the predictions of machine learning systems will always be superficial and dubious.
  • some machine learning enthusiasts seem to be proud that their creations can generate correct “scientific” predictions (say, about the motion of physical bodies) without making use of explanations (involving, say, Newton’s laws of motion and universal gravitation). But this kind of prediction, even when successful, is pseudoscienc
  • While scientists certainly seek theories that have a high degree of empirical corroboration, as the philosopher Karl Popper noted, “we do not seek highly probable theories but explanations; that is to say, powerful and highly improbable theories.”
  • The theory that apples fall to earth because mass bends space-time (Einstein’s view) is highly improbable, but it actually tells you why they fall. True intelligence is demonstrated in the ability to think and express improbable but insightful things.
  • This means constraining the otherwise limitless creativity of our minds with a set of ethical principles that determines what ought and ought not to be (and of course subjecting those principles themselves to creative criticism)
  • True intelligence is also capable of moral thinking
  • To be useful, ChatGPT must be empowered to generate novel-looking output; to be acceptable to most of its users, it must steer clear of morally objectionable content
  • In 2016, for example, Microsoft’s Tay chatbot (a precursor to ChatGPT) flooded the internet with misogynistic and racist content, having been polluted by online trolls who filled it with offensive training data. How to solve the problem in the future? In the absence of a capacity to reason from moral principles, ChatGPT was crudely restricted by its programmers from contributing anything novel to controversial — that is, important — discussions. It sacrificed creativity for a kind of amorality.
  • Here, ChatGPT exhibits something like the banality of evil: plagiarism and apathy and obviation. It summarizes the standard arguments in the literature by a kind of super-autocomplete, refuses to take a stand on anything, pleads not merely ignorance but lack of intelligence and ultimately offers a “just following orders” defense, shifting responsibility to its creators.
  • In short, ChatGPT and its brethren are constitutionally unable to balance creativity with constraint. They either overgenerate (producing both truths and falsehoods, endorsing ethical and unethical decisions alike) or undergenerate (exhibiting noncommitment to any decisions and indifference to consequences). Given the amorality, faux science and linguistic incompetence of these systems, we can only laugh or cry at their popularity.
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News from The Associated Press - 0 views

hosted.ap.org/...US_OSCARS_FACT_OR_FICTION historical movies truth fiction
shared by Emily Horwitz on 20 Feb 13 - No Cached
  • If you saw the film "Argo," no, you didn't miss this development, which is recounted in Mendez's book about the real-life operation. It wasn't there because director Ben Affleck and screenwriter Chris Terrio replaced it with an even more dramatic scenario, involving canceled flight reservations, suspicious Iranian officials who call the Hollywood office of the fake film crew (a call answered just in time), and finally a heart-pounding chase on the tarmac just as the plane's wheels lift off, seconds from catastrophe.
  • they've caught some flak for the liberties they took in the name of entertainment.
  • And they aren't alone - two other high-profile best-picture nominees this year, Kathryn Bigelow's "Zero Dark Thirty" and Steven Spielberg's "Lincoln," have also been criticized for different sorts of factual issues.
  • ...15 more annotations...
  • But because these three major films are in contention, the issue has come to the forefront of this year's Oscar race, and with it a thorny cultural question: Does the audience deserve the truth, the whole truth and nothing but? Surely not, but just how much fiction is OK?
  • In response to a complaint by a Connecticut congressman, Kushner acknowledged he'd changed the details for dramatic effect, having two Connecticut congressmen vote against the amendment when, in fact, all four voted for it. (The names of those congressmen were changed, to avoid changing the vote of specific individuals.)
  • Kushner said he had "adhered to time-honored and completely legitimate standards for the creation of historical drama, which is what `Lincoln' is. I hope nobody is shocked to learn that I also made up dialogue and imagined encounters and invented characters."
  • "Maybe changing the vote went too far," says Richard Walter, chairman of screenwriting at the University of California, Los Angeles. "Maybe there was another way to do it. But really, it's not terribly important. People accept that liberties will be taken. A movie is a movie. People going for a history lesson are going to the wrong place."
  • Walter says he always tells his students: "Go for the feelings. Because the only thing that's truly real in the movies are the feelings that people feel when they watch."
  • No subject or individual's life is compelling and dramatic enough by itself, he says, that it neatly fits into a script with three acts, subplots, plot twists and a powerful villain.
  • Reeves, who actually gave the "Lincoln" script a negative review because he thought it was too heavy on conversation and lacking action. He adds, though, that when the subject is as famous as Lincoln, one has a responsibility to be more faithful to the facts.
  • "This is fraught territory," he says. "You're always going to have to change something, and you're always going to get in some sort of trouble, with somebody," he says.
  • Futterman also doesn't begrudge the "Argo" filmmakers, because he feels they use a directorial style that implies some fun is being had with the story. "All the inside joking about Hollywood - tonally, you get a sense that something is being played with," he says.
  • Futterman says he was sympathetic to those concerns and would certainly have addressed them in the script, had he anticipated them.
  • Of the three Oscar-nominated films in question, "Zero Dark Thirty" has inspired the most fervent debate. The most intense criticism, despite acclaim for the filmmaking craft involved, has been about its depictions of interrogations, with some, including a group of senators, saying the film misleads viewers for suggesting that torture provided information that helped the CIA find Osama bin Laden.
  • have been questions about the accuracy of the depiction of the main character, a CIA officer played by Jessica Chastain; the real person - or even combination of people, according to some theories - that she plays remains anonymous.
  • screenwriters have a double responsibility: to the material and to the audience.
  • The debate over "Argo" has been much less intense, though there has been some grumbling from former officials in Britain and New Zealand that their countries were portrayed incorrectly in the film as offering no help at all to the six Americans, whereas actually, as Mendez writes, they did provide some help.
  • "When I am hungry and crave a tuna fish sandwich, I don't go to a hardware store," he says. "When I seek a history lesson, I do not go to a movie theater. I loved `Argo' even though I know there was no last-minute turn-around via a phone call from President Carter, nor were there Iranian police cars chasing the plane down the tarmac as it took off. So what? These conceits simply make the movie more exciting."
  • Emily Horwitz on 20 Feb 13
     
    This article reaffirmed my feelings that we can't trust everything that we see or hear through the media, because it is often skewed to better captivate the target audience. As the article stated, there appears to be a fine line in catering to the attention span of the audience, and respecting the known facts of a given event that is portrayed by a movie.
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Wine-tasting: it's junk science | Life and style | The Observer - 0 views

www.guardian.co.uk/...-tasting-junk-science-analysis taste sense perception research
shared by Javier E on 03 Jul 13 - No Cached
  • google_ad_client = 'ca-guardian_js'; google_ad_channel = 'lifeandstyle'; google_max_num_ads = '3'; // Comments Click here to join the discussion. We can't load the discussion on guardian.co.uk because you don't have JavaScript enabled. if (!!window.postMessage) { jQuery.getScript('http://discussion.guardian.co.uk/embed.js') } else { jQuery('#d2-root').removeClass('hd').html( '' + 'Comments' + 'Click here to join the discussion.We can\'t load the ' + 'discussion on guardian.co.uk ' + 'because your web browser does not support all the features that we ' + 'need. If you cannot upgrade your browser to a newer version, you can ' + 'access the discussion ' + 'here.' ); } Wor
  • Hodgson approached the organisers of the California State Fair wine competition, the oldest contest of its kind in North America, and proposed an experiment for their annual June tasting sessions.Each panel of four judges would be presented with their usual "flight" of samples to sniff, sip and slurp. But some wines would be presented to the panel three times, poured from the same bottle each time. The results would be compiled and analysed to see whether wine testing really is scientific.
  • Results from the first four years of the experiment, published in the Journal of Wine Economics, showed a typical judge's scores varied by plus or minus four points over the three blind tastings. A wine deemed to be a good 90 would be rated as an acceptable 86 by the same judge minutes later and then an excellent 94.
  • ...9 more annotations...
  • Hodgson's findings have stunned the wine industry. Over the years he has shown again and again that even trained, professional palates are terrible at judging wine."The results are disturbing," says Hodgson from the Fieldbrook Winery in Humboldt County, described by its owner as a rural paradise. "Only about 10% of judges are consistent and those judges who were consistent one year were ordinary the next year."Chance has a great deal to do with the awards that wines win."
  • French academic Frédéric Brochet tested the effect of labels in 2001. He presented the same Bordeaux superior wine to 57 volunteers a week apart and in two different bottles – one for a table wine, the other for a grand cru.The tasters were fooled.When tasting a supposedly superior wine, their language was more positive – describing it as complex, balanced, long and woody. When the same wine was presented as plonk, the critics were more likely to use negatives such as weak, light and flat.
  • In 2011 Professor Richard Wiseman, a psychologist (and former professional magician) at Hertfordshire University invited 578 people to comment on a range of red and white wines, varying from £3.49 for a claret to £30 for champagne, and tasted blind.People could tell the difference between wines under £5 and those above £10 only 53% of the time for whites and only 47% of the time for reds. Overall they would have been just as a successful flipping a coin to guess.
  • why are ordinary drinkers and the experts so poor at tasting blind? Part of the answer lies in the sheer complexity of wine.For a drink made by fermenting fruit juice, wine is a remarkably sophisticated chemical cocktail. Dr Bryce Rankine, an Australian wine scientist, identified 27 distinct organic acids in wine, 23 varieties of alcohol in addition to the common ethanol, more than 80 esters and aldehydes, 16 sugars, plus a long list of assorted vitamins and minerals that wouldn't look out of place on the ingredients list of a cereal pack. There are even harmless traces of lead and arsenic that come from the soil.
  • "People underestimate how clever the olfactory system is at detecting aromas and our brain is at interpreting them," says Hutchinson."The olfactory system has the complexity in terms of its protein receptors to detect all the different aromas, but the brain response isn't always up to it. But I'm a believer that everyone has the same equipment and it comes down to learning how to interpret it." Within eight tastings, most people can learn to detect and name a reasonable range of aromas in wine
  • People struggle with assessing wine because the brain's interpretation of aroma and bouquet is based on far more than the chemicals found in the drink. Temperature plays a big part. Volatiles in wine are more active when wine is warmer. Serve a New World chardonnay too cold and you'll only taste the overpowering oak. Serve a red too warm and the heady boozy qualities will be overpowering.
  • Colour affects our perceptions too. In 2001 Frédérick Brochet of the University of Bordeaux asked 54 wine experts to test two glasses of wine – one red, one white. Using the typical language of tasters, the panel described the red as "jammy' and commented on its crushed red fruit.The critics failed to spot that both wines were from the same bottle. The only difference was that one had been coloured red with a flavourless dye
  • Other environmental factors play a role. A judge's palate is affected by what she or he had earlier, the time of day, their tiredness, their health – even the weather.
  • Robert Hodgson is determined to improve the quality of judging. He has developed a test that will determine whether a judge's assessment of a blind-tasted glass in a medal competition is better than chance. The research will be presented at a conference in Cape Town this year. But the early findings are not promising."So far I've yet to find someone who passes," he says.
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Noam Chomsky on Where Artificial Intelligence Went Wrong - Yarden Katz - The Atlantic - 0 views

www.theatlantic.com/...261637 chomsky ai language brain science computer research methods science history
shared by Javier E on 30 Jun 13 - No Cached
  • If you take a look at the progress of science, the sciences are kind of a continuum, but they're broken up into fields. The greatest progress is in the sciences that study the simplest systems. So take, say physics -- greatest progress there. But one of the reasons is that the physicists have an advantage that no other branch of sciences has. If something gets too complicated, they hand it to someone else.
  • If a molecule is too big, you give it to the chemists. The chemists, for them, if the molecule is too big or the system gets too big, you give it to the biologists. And if it gets too big for them, they give it to the psychologists, and finally it ends up in the hands of the literary critic, and so on.
  • neuroscience for the last couple hundred years has been on the wrong track. There's a fairly recent book by a very good cognitive neuroscientist, Randy Gallistel and King, arguing -- in my view, plausibly -- that neuroscience developed kind of enthralled to associationism and related views of the way humans and animals work. And as a result they've been looking for things that have the properties of associationist psychology.
  • ...19 more annotations...
  • in general what he argues is that if you take a look at animal cognition, human too, it's computational systems. Therefore, you want to look the units of computation. Think about a Turing machine, say, which is the simplest form of computation, you have to find units that have properties like "read", "write" and "address." That's the minimal computational unit, so you got to look in the brain for those. You're never going to find them if you look for strengthening of synaptic connections or field properties, and so on. You've got to start by looking for what's there and what's working and you see that from Marr's highest level.
  • it's basically in the spirit of Marr's analysis. So when you're studying vision, he argues, you first ask what kind of computational tasks is the visual system carrying out. And then you look for an algorithm that might carry out those computations and finally you search for mechanisms of the kind that would make the algorithm work. Otherwise, you may never find anything.
  • "Good Old Fashioned AI," as it's labeled now, made strong use of formalisms in the tradition of Gottlob Frege and Bertrand Russell, mathematical logic for example, or derivatives of it, like nonmonotonic reasoning and so on. It's interesting from a history of science perspective that even very recently, these approaches have been almost wiped out from the mainstream and have been largely replaced -- in the field that calls itself AI now -- by probabilistic and statistical models. My question is, what do you think explains that shift and is it a step in the right direction?
  • AI and robotics got to the point where you could actually do things that were useful, so it turned to the practical applications and somewhat, maybe not abandoned, but put to the side, the more fundamental scientific questions, just caught up in the success of the technology and achieving specific goals.
  • The approximating unanalyzed data kind is sort of a new approach, not totally, there's things like it in the past. It's basically a new approach that has been accelerated by the existence of massive memories, very rapid processing, which enables you to do things like this that you couldn't have done by hand. But I think, myself, that it is leading subjects like computational cognitive science into a direction of maybe some practical applicability... ..in engineering? Chomsky: ...But away from understanding.
  • I was very skeptical about the original work. I thought it was first of all way too optimistic, it was assuming you could achieve things that required real understanding of systems that were barely understood, and you just can't get to that understanding by throwing a complicated machine at it.
  • if success is defined as getting a fair approximation to a mass of chaotic unanalyzed data, then it's way better to do it this way than to do it the way the physicists do, you know, no thought experiments about frictionless planes and so on and so forth. But you won't get the kind of understanding that the sciences have always been aimed at -- what you'll get at is an approximation to what's happening.
  • Suppose you want to predict tomorrow's weather. One way to do it is okay I'll get my statistical priors, if you like, there's a high probability that tomorrow's weather here will be the same as it was yesterday in Cleveland, so I'll stick that in, and where the sun is will have some effect, so I'll stick that in, and you get a bunch of assumptions like that, you run the experiment, you look at it over and over again, you correct it by Bayesian methods, you get better priors. You get a pretty good approximation of what tomorrow's weather is going to be. That's not what meteorologists do -- they want to understand how it's working. And these are just two different concepts of what success means, of what achievement is.
  • if you get more and more data, and better and better statistics, you can get a better and better approximation to some immense corpus of text, like everything in The Wall Street Journal archives -- but you learn nothing about the language.
  • the right approach, is to try to see if you can understand what the fundamental principles are that deal with the core properties, and recognize that in the actual usage, there's going to be a thousand other variables intervening -- kind of like what's happening outside the window, and you'll sort of tack those on later on if you want better approximations, that's a different approach.
  • take a concrete example of a new field in neuroscience, called Connectomics, where the goal is to find the wiring diagram of very complex organisms, find the connectivity of all the neurons in say human cerebral cortex, or mouse cortex. This approach was criticized by Sidney Brenner, who in many ways is [historically] one of the originators of the approach. Advocates of this field don't stop to ask if the wiring diagram is the right level of abstraction -- maybe it's no
  • if you went to MIT in the 1960s, or now, it's completely different. No matter what engineering field you're in, you learn the same basic science and mathematics. And then maybe you learn a little bit about how to apply it. But that's a very different approach. And it resulted maybe from the fact that really for the first time in history, the basic sciences, like physics, had something really to tell engineers. And besides, technologies began to change very fast, so not very much point in learning the technologies of today if it's going to be different 10 years from now. So you have to learn the fundamental science that's going to be applicable to whatever comes along next. And the same thing pretty much happened in medicine.
  • that's the kind of transition from something like an art, that you learn how to practice -- an analog would be trying to match some data that you don't understand, in some fashion, maybe building something that will work -- to science, what happened in the modern period, roughly Galilean science.
  • it turns out that there actually are neural circuits which are reacting to particular kinds of rhythm, which happen to show up in language, like syllable length and so on. And there's some evidence that that's one of the first things that the infant brain is seeking -- rhythmic structures. And going back to Gallistel and Marr, its got some computational system inside which is saying "okay, here's what I do with these things" and say, by nine months, the typical infant has rejected -- eliminated from its repertoire -- the phonetic distinctions that aren't used in its own language.
  • people like Shimon Ullman discovered some pretty remarkable things like the rigidity principle. You're not going to find that by statistical analysis of data. But he did find it by carefully designed experiments. Then you look for the neurophysiology, and see if you can find something there that carries out these computations. I think it's the same in language, the same in studying our arithmetical capacity, planning, almost anything you look at. Just trying to deal with the unanalyzed chaotic data is unlikely to get you anywhere, just like as it wouldn't have gotten Galileo anywhere.
  • with regard to cognitive science, we're kind of pre-Galilean, just beginning to open up the subject
  • You can invent a world -- I don't think it's our world -- but you can invent a world in which nothing happens except random changes in objects and selection on the basis of external forces. I don't think that's the way our world works, I don't think it's the way any biologist thinks it is. There are all kind of ways in which natural law imposes channels within which selection can take place, and some things can happen and other things don't happen. Plenty of things that go on in the biology in organisms aren't like this. So take the first step, meiosis. Why do cells split into spheres and not cubes? It's not random mutation and natural selection; it's a law of physics. There's no reason to think that laws of physics stop there, they work all the way through. Well, they constrain the biology, sure. Chomsky: Okay, well then it's not just random mutation and selection. It's random mutation, selection, and everything that matters, like laws of physics.
  • What I think is valuable is the history of science. I think we learn a lot of things from the history of science that can be very valuable to the emerging sciences. Particularly when we realize that in say, the emerging cognitive sciences, we really are in a kind of pre-Galilean stage. We don't know wh
  • at we're looking for anymore than Galileo did, and there's a lot to learn from that.
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What's the secret to learning a second language? - Salon.com - 0 views

www.salon.com/...t_to_learning_a_second_lanuage language learning
shared by Javier E on 29 Oct 12 - No Cached
  • “Arabic is a language of memorization,” he said. “You just have to drill the words into your head, which unfortunately takes a lot of time.” He thought, “How can I maximize the number of words I learn in the minimum amount of time?”
  • Siebert started studying the science of memory and second-language acquisition and found two concepts that went hand in hand to make learning easier: selective learning and spaced repetition. With selective learning, you spend more time on the things you don’t know, rather than on the things you already do
  • Siebert designed his software to use spaced repetition. If you get cup right, the program will make the interval between seeing the word cup longer and longer, but it will cycle cup back in just when you’re about to forget it. If you’ve forgotten cup entirely, the cycle starts again. This system moves the words from your brain’s short-term memory into long-term memory and maximizes the number of words you can learn effectively in a period. You don’t have to cram
  • ...8 more annotations...
  • ARABIC IS ONE of the languages the U.S. Department of State dubs “extremely hard.” Chinese, Japanese, and Korean are the others. These languages’ structures are vastly different from that of English, and they are memorization-driven.
  • To help meet its language-learning goals, in 2003 the Department of Defense established the University of Maryland Center for Advanced Study of Language.
  • MICHAEL GEISLER, a vice president at Middlebury College, which runs the foremost language-immersion school in the country, was blunt: “The drill-and-kill approach we used 20 years ago doesn’t work.” He added, “The typical approach that most programs take these days—Rosetta Stone is one example—is scripted dialogue and picture association. You have a picture of the Eiffel Tower, and you have a sentence to go with it. But that’s not going to teach you the language.”
  • According to Geisler, you need four things to learn a language. First, you have to use it. Second, you have to use it for a purpose. Research shows that doing something while learning a language—preparing a cooking demonstration, creating an art project, putting on a play—stimulates an exchange of meaning that goes beyond using the language for the sake of learning it.Third, you have to use the language in context. This is where Geisler says all programs have fallen short.
  • Fourth, you have to use language in interaction with others. In a 2009 study led by Andrew Meltzoff at the University of Washington, researchers found that young children easily learned a second language from live human interaction while playing and reading books. But audio and DVD approaches with the same material, without the live interaction, fostered no learning progress at all. Two people in conversation constantly give each other feedback that can be used to make changes in how they respond.
  • our research shows that the ideal model is a blended one,” one that blends technology and a teacher. “Our latest research shows that with the proper use of technology and cognitive neuroscience, we can make language learning more efficient.” 
  • The school released its first two online programs, for French and Spanish, last year. The new courses use computer avatars for virtual collaboration; rich video of authentic, unscripted conversations with native speakers; and 3-D role-playing games in which students explore life in a city square, acting as servers and taking orders from customers in a café setting. The goal at the end of the day, as Geisler put it, is for you to “actually be able to interact with a native speaker in his own language and have him understand you, understand him, and, critically, negotiate when you don’t understand what he is saying.” 
  • The program includes the usual vocabulary lists and lessons in how to conjugate verbs, but students are also consistently immersed in images, audio, and video of people from different countries speaking with different accents. Access to actual teachers is another critical component.
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Logical Fallacy: Argumentum ad Hominem - 0 views

www.fallacyfiles.org/adhomine.html brain science fallacy
shared by oliviaodon on 23 Oct 16 - Cached
  • Ad Hominem is the most familiar of informal fallacies, and—with the possible exception of Undistributed Middle—the most familiar logical fallacy of them all.
  • For instance, the charge of "ad hominem" is often raised during American political campaigns, but is seldom logically warranted. We vote for, elect, and are governed by politicians, not platforms; in fact, political platforms are primarily symbolic and seldom enacted. So, personal criticisms are logically relevant to deciding who to vote for. Of course, such criticisms may be logically relevant but factually mistaken, or wrong in some other non-logical way.
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Adam Kirsch: Art Over Biology | The New Republic - 1 views

www.tnr.com/...es-darwin-evolution-art-kirsch art Darwinian evolution success adaptation
shared by Javier E on 01 Aug 12 - Cached
  • Nietzsche, who wrote in Human, All Too Human, under the rubric “Art dangerous for the artist,” about the particular ill-suitedness of the artist to flourishing in a modern scientific age: When art seizes an individual powerfully, it draws him back to the views of those times when art flowered most vigorously.... The artist comes more and more to revere sudden excitements, believes in gods and demons, imbues nature with a soul, hates science, becomes unchangeable in his moods like the men of antiquity, and desires the overthrow of all conditions that are not favorable to art.... Thus between him and the other men of his period who are the same age a vehement antagonism is finally generated, and a sad end
  • What is modern is the sense of the superiority of the artist’s inferiority, which is only possible when the artist and the intellectual come to see the values of ordinary life—prosperity, family, worldly success, and happiness—as inherently contemptible.
  • Art, according to a modern understanding that has not wholly vanished today, is meant to be a criticism of life, especially of life in a materialist, positivist civilization such as our own. If this means the artist does not share in civilization’s boons, then his suffering will be a badge of honor.
  • ...18 more annotations...
  • The iron law of Darwinian evolution is that everything that exists strives with all its power to reproduce, to extend life into the future, and that every feature of every creature can be explained as an adaptation toward this end. For the artist to deny any connection with the enterprise of life, then, is to assert his freedom from this universal imperative; to reclaim negatively the autonomy that evolution seems to deny to human beings. It is only because we can freely choose our own ends that we can decide not to live for life, but for some other value that we posit. The artist’s decision to produce spiritual offspring rather than physical ones is thus allied to the monk’s celibacy and the warrior’s death for his country, as gestures that deny the empire of mere life.
  • Animals produce beauty on their bodies; humans can also produce it in their artifacts. The natural inference, then, would be that art is a human form of sexual display, a way for males to impress females with spectacularly redundant creations.
  • For Darwin, the human sense of beauty was not different in kind from the bird’s.
  • Still, Darwin recognized that the human sense of beauty was mediated by “complex ideas and trains of thought,” which make it impossible to explain in terms as straightforward as a bird’s:
  • Put more positively, one might say that any given work of art can be discussed critically and historically, but not deduced from the laws of evolution.
  • with the rise of evolutionary psychology, it was only a matter of time before the attempt was made to explain art in Darwinian terms. After all, if ethics and politics can be explained by game theory and reciprocal altruism, there is no reason why aesthetics should be different: in each case, what appears to be a realm of human autonomy can be reduced to the covert expression of biological imperatives
  • Still, there is an unmistakable sense in discussions of Darwinian aesthetics that by linking art to fitness, we can secure it against charges of irrelevance or frivolousness—that mattering to reproduction is what makes art, or anything, really matter.
  • The first popular effort in this direction was the late Denis Dutton’s much-discussed book The Art Instinct, which appeared in 2009.
  • Dutton’s Darwinism was aesthetically conservative: “Darwinian aesthetics,” he wrote, “can restore the vital place of beauty, skill, and pleasure as high artistic values.” Dutton’s argument has recently been reiterated and refined by a number of new books,
  • “The universality of art and artistic behaviors, their spontaneous appearance everywhere across the globe ... and the fact that in most cases they can be easily recognized as artistic across cultures suggest that they derive from a natural, innate source: a universal human psychology.”
  • Again like language, art is universal in the sense that any local expression of it can be “learned” by anyone.
  • Yet earlier theorists of evolution were reluctant to say that art was an evolutionary adaptation like language, for the simple reason that it does not appear to be evolutionarily adaptive.
  • Stephen Jay Gould suggested that art was not an evolutionary adaptation but what he called a “spandrel”—that is, a showy but accidental by-product of other adaptations that were truly functiona
  • the very words “success” and “failure,” despite themselves, bring an emotive and ethical dimension into the discussion, so impossible is it for human beings to inhabit a valueless world. In the nineteenth century, the idea that fitness for survival was a positive good motivated social Darwinism and eugenics. Proponents of these ideas thought that in some way they were serving progress by promoting the flourishing of the human race, when the basic premise of Darwinism is that there is no such thing as progress or regress, only differential rates of reproduction
  • In particular, Darwin suggests that it is impossible to explain the history or the conventions of any art by the general imperatives of evolution
  • Boyd begins with the premise that human beings are pattern-seeking animals: both our physical perceptions and our social interactions are determined by our brain’s innate need to find and to
  • Art, then, can be defined as the calisthenics of pattern-finding. “Just as animal physical play refines performance, flexibility, and efficiency in key behaviors,” Boyd writes, “so human art refines our performance in our key perceptual and cognitive modes, in sight (the visual arts), sound (music), and social cognition (story). These three modes of art, I propose, are adaptations ... they show evidence of special design in humans, design that offers survival and especially reproductive advantages.”
  • make coherent patterns
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