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johnsonel7

The coronavirus recession is just getting started - The Washington Post - 0 views

  • The record 3.3 million jobless claims reported Thursday mark the beginning of an economic crisis facing American workers and businesses — a slump, experts say, that will only end when the coronavirus pandemic is contained.
  • Although no official figures exist yet, the unemployment rate has likely jumped to at least 5.5 percent, says economist Martha Gimbel of Schmidt Futures, a level not seen since 2015 and up from 3.5 percent in February.“The most terrifying part about this is this is likely just the beginning of the layoffs,” Gimbel said
  • The bill, which gives most Americans checks worth $1,200 or more and provides billions in low-cost loans to businesses, is likely to provide a lifeline to workers and companies facing devastation, but it won’t stop a severe recession nor be adequate to sustain workers if the coronavirus health crisis lasts more than a month or two.
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  • Much of the nation has made the gut-wrenching choice to stop about half the economy and encourage most workers to stay home in an effort to save as many lives as possible
  • The average unemployment benefit check is currently $385 a week, which is less than half the typical weekly paycheck in the United States. The amount is slated to rise an additional $600 a week once President Trump signs the relief bill into law, a substantial increase meant to tide workers over as they are forced to stay home
  • All employees now have their temperature tested on the way into the warehouse. He’s had lengthy discussions with each worker about whether they should take the health risk of coming to work. They now run two shifts and mandate that employees stand about 10 feet from each other. Between the shifts, they sanitize the whole facility — doorknobs, surfaces, bathrooms, tools.
johnsonel7

Coronavirus Recession: Fears Of Economic Slowdown Race Around The World : NPR - 0 views

  • As odds of a global recession rise, governments and central banks around the world are racing to fend off the economic damage from the spread of the coronavirus. The toll has already landed hard on jittery financial markets. Stocks continued to sell off on Thursday as the Dow Jones Industrial Average plunged 969 points, or about 3.6%, as investors fled stocks. Companies have shut factories, canceled conferences and drastically scaled back employee travel.
  • Meanwhile, the U.S. Senate on Thursday gave final passage to a roughly $8 billion spending package to provide medical supplies in hard-hit areas and pay for vaccine research. President Trump has said he will sign the bill. Despite such measures, many economists now say growth is likely to slow considerably this year — if not contract altogether.
  • Goldman Sachs projected on Sunday that because of the coronavirus, the U.S. economy would grow by an anemic 0.9% during the first three months of 2020 and would flatline during the second quarter.
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  • The tumult in the U.S. economy still pales in comparison to the damage being felt in other countries. In China, auto sales cratered 80% last month, while a plunge in tourism is expected to push Italy and perhaps France into a recession.
  • The U.S. Travel Association predicts that international travel to the United States will fall by 6% over the next three months. "There is a lot of uncertainty around coronavirus, and it is pretty clear that it is having an effect on travel demand — not just from China, and not just internationally, but for domestic business and leisure travel as well," the association's president, Roger Dow, said in a statement.
katherineharron

Goldman Sachs issues warning about US unemployment - CNN - 0 views

  • The unemployment rate in the United States will peak at 25%, rivaling the worst period of the Great Depression, Goldman Sachs warned on Wednesday.
  • The unemployment rate spiked to 14.7% in April as the economy lost more than 20 million jobs during the self-imposed shutdown to fight the coronavirus pandemic.
  • Goldman Sachs previously projected the unemployment rate would peak at 15%. The new forecasts are based on government statistics, the first glimpse of the reopening process and new big data sources, the bank said.
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  • Annual data, which go back to 1929, show that the unemployment rate peaked during the Great Depression at an average of 24.9% in 1933.
  • Goldman Sachs warned Wednesday that the real jobless rate will peak at 35%, up from the bank's previous projection for a peak of 29%.
  • , told CNN last week that the real jobless rate could hit 25% before "hopefully" falling following a transition period this summer.
  • Dr. Anthony Fauci, the nation's top infectious disease expert, said Tuesday that the "consequences could be really serious" if states reopen ahead of the guidelines issued by the White House.
  • Goldman also upgraded its GDP forecasts, predicting a "somewhat more V-shaped path" as states relax lockdown orders. The bank now expects rapid annualized growth of 29% in the third quarter, up from 19% previously.
  • And Goldman noted several "serious health risks": "insufficient testing and contact tracing" in some states, reopening high-risk sectors and limited evidence of how effective measures like social distancing and will be.
  • "Prolonged weakness could cause severe scarring effects such as permanent layoffs and business closures that delay the recovery," Goldman Sachs economists wrote.
tongoscar

Coronavirus: Russia to ban Chinese citizens from entry - as it happened | Financial Times - 0 views

  • Hubei reports 93 new coronavirus deaths Hubei, the centre of the coronavirus outbreak in China, reported 93 new deaths to the end of Monday, down from the previous day’s tally of 100. The province’s health commission also reported 1,807 new cases, lower than that recorded for Sunday.
  • Apple has warned that disruption in China from the coronavirus will cause its revenues to fall short in the current quarter, marking the second time in little over a year that weakness in China has forced the world’s most valuable technology company to issue a financial alert.
  • The California-based company said its factories were “ramping up more slowly than we anticipated had anticipated” after the Chinese government extended the lunar new year break and restricted the movement of people and when businesses could reopen.
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  • China says coronavirus death toll reaches almost 1,900
  • Japanese stocks slide almost 1% after Apple sales warning
  • Gauging the weakness in China's economy
  • Economists broadly expect China's growth rate to cool sharply in the first quarter of this year — although the extent of the slowdown is the subject of debate.
  • Traffic congestion Congestion in 100 major Chinese cities typically picks up in the days following the lunar new year holiday. That has not been the case this year.
  • Coal consumption Major electricity producers consumed 35 per cent less coal during the first 16 days of February than "normal seasonality would suggest", Goldman said.
  • Asia Apple suppliers slip after warning from iPhone maker Share prices for Apple suppliers in Asia fell after the Californian company warned that disruptions in China from the coronavirus will cause revenues to fall short in the current quarter.
Javier E

The Masks Masquerade - INCERTO - Medium - 0 views

  • Highlight
  • First error: missing the compounding effect
  • People who are good at exams (and become bureaucrats, economists, or hacks), my experience has been, are not good at understanding nonlinearities and dynamics.
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  • The WHO, CDC and other bureaucracies initially failed to quickly realize that the benefits of masks compound, simply because two people are wearing them and you have to look at the interaction.
  • Let us say (to simplify) that masks reduce both transmission and reception to p. What effect on the R0(that is, the rate of spreading of the infection)?
  • Simply the naive approach (used by the CDC/WHO bureaucrats and other imbeciles) is to say if masks reduce the transmission probability to ¼, one would think it would then drop from, say R0= 5, to R0=1 ¼. Yuuge, but there is better.
  • For one should count both sides. Under our simplification, with p=1/4 we get R0'= p² R0 . The drop in R becomes 93.75%! You divide R by 16! Even with masks working at 50% we get a 75% drop in R0.
  • Second error: Missing the Nonlinearity of the Risk of Infection
  • we are in the convex part of the curve. For example, to use the case above, a reduction of viral load by 75% for a short exposure could reduce the probability of infection by 95% or more!
  • Third Error: Mistaking Absence of Evidence for Evidence of Absence
  • “There is no evidence that masks work”, I kept hearing repeated to me by the usual idiots calling themselves “evidence based” scientists. The point is that there is no evidence that locking the door tonight will prevent me from being burglarized. But everything that may block transmission could help.
  • We have a) the salon story where two infected stylists failed to infect all their 140 clients (making the probability of infection for bilateral mask wearing safely below 1% for a salon-style exposure)
  • Fourth Error: Misunderstanding the Market and PeoplePaternalistic bureaucrats resisted inviting the general public to use masks on grounds that the supply was limited and would be needed by health professionals — hence they lied to us saying “masks are not effective”
  • Fifth Error: Missing Extremely Strong Statistical Signals
  • they fear to be presenting “anecdotes”, and fail to grasp the broader notion of statistical signals where you look at the whole story, not the body parts.
  • evidence compounds.
  • Unlike school, real life is not about certainties. When in doubt, use what protection you can
  • plus b) the rate of infection of countries where masks were mandatory
  • plus c) tons of papers with more or less flawed methodologies, etc.
  • Sixth Error: The Non-Aggression Principle
  • “Libertarians” (in brackets) are resisting mask wearing on grounds that it constrains their freedom. Yet the entire concept of liberty lies in the Non-Aggression Principle, the equivalent of the Silver Rule: do not harm others; they in turn should not harm you.
  • Even more insulting is the demand by pseudolibertarians that Costco should banned from forcing customers to wear mask — but libertarianism allows you to set the rules on your own property. Costco should be able to force visitors to wear pink shirts and purple glasses if they wished.
  • Note that by infecting another person you are not infecting just another person. You are infecting many many more and causing systemic risk.
katherineharron

Global economy coronavirus bailout reaches $7 trillion and counting - CNN - 0 views

  • The response to the coronavirus pandemic has been unprecedented in terms of speed and scale. Commitments from governments and central banks to date are close to $7 trillion, according to an analysis by CNN Business. The total includes government spending, loan guarantees and tax breaks, as well as money printing by central banks to buy assets such as bonds and stock funds.
  • The figure includes the $2 trillion US relief package working its way through Congress and an anticipated 30 trillion yen ($274 billion) in stimulus from Japan that could be approved next month. In Europe, CNN Business tallied stimulus efforts by the biggest economies: Germany, France, the United Kingdom, Italy and Spain.
  • "The [$2 trillion US] stimulus package is likely the bare minimum needed to offset the current drag from the outbreak," Bank of America economist Joseph Song told clients Thursday. "The economy will likely need close $3 [trillion] in fiscal stimulus, if not more."
krystalxu

Why Behavioral Economics Is Cool, and I'm Not | HuffPost - 0 views

  • People conserve more energy when they see their neighbors’ consumption rates.
  • Hypothesis 2: Behavioral economists do more interesting work than psychologists.
Javier E

The Philosopher Redefining Equality | The New Yorker - 0 views

  • The bank experience showed how you could be oppressed by hierarchy, working in an environment where you were neither free nor equal. But this implied that freedom and equality were bound together in some way beyond the basic state of being unenslaved, which was an unorthodox notion. Much social thought is rooted in the idea of a conflict between the two.
  • If individuals exercise freedoms, conservatives like to say, some inequalities will naturally result. Those on the left basically agree—and thus allow constraints on personal freedom in order to reduce inequality. The philosopher Isaiah Berlin called the opposition between equality and freedom an “intrinsic, irremovable element in human life.” It is our fate as a society, he believed, to haggle toward a balance between them.
  • What if they weren’t opposed, Anderson wondered, but, like the sugar-phosphate chains in DNA, interlaced in a structure that we might not yet understand?
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  • At fifty-nine, Anderson is the chair of the University of Michigan’s department of philosophy and a champion of the view that equality and freedom are mutually dependent, enmeshed in changing conditions through time.
  • She has built a case, elaborated across decades, that equality is the basis for a free society
  • Because she brings together ideas from both the left and the right to battle increasing inequality, Anderson may be the philosopher best suited to this awkward moment in American life. She builds a democratic frame for a society in which people come from different places and are predisposed to disagree.
  • she sketched out the entry-level idea that one basic way to expand equality is by expanding the range of valued fields within a society.
  • The ability not to have an identity that one carries from sphere to sphere but, rather, to be able to slip in and adopt whatever values and norms are appropriate while retaining one’s identities in other domains?” She paused. “That is what it is to be free.”
  • How do you move from a basic model of egalitarian variety, in which everybody gets a crack at being a star at something, to figuring out how to respond to a complex one, where people, with different allotments of talent and virtue, get unequal starts, and often meet with different constraints along the way?
  • The problem, she proposed, was that contemporary egalitarian thinkers had grown fixated on distribution: moving resources from lucky-seeming people to unlucky-seeming people, as if trying to spread the luck around.
  • Egalitarians should agree about clear cases of blameless misfortune: the quadriplegic child, the cognitively impaired adult, the teen-ager born into poverty with junkie parents. But Anderson balked there, too. By categorizing people as lucky or unlucky, she argued, these egalitarians set up a moralizing hierarchy.
  • In Anderson’s view, the way forward was to shift from distributive equality to what she called relational, or democratic, equality: meeting as equals, regardless of where you were coming from or going to.
  • By letting the lucky class go on reaping the market’s chancy rewards while asking others to concede inferior status in order to receive a drip-drip-drip of redistributive aid, these egalitarians were actually entrenching people’s status as superior or subordinate.
  • To the ugly and socially awkward: . . . Maybe you won’t be such a loser in love once potential dates see how rich you are.
  • . To the stupid and untalented: Unfortunately, other people don’t value what little you have to offer in the system of production. . . . Because of the misfortune that you were born so poorly endowed with talents, we productive ones will make it up to you: we’ll let you share in the bounty of what we have produced with our vastly superior and highly valued abilities. . . 
  • she imagined some citizens getting a state check and a bureaucratic letter:
  • This was, at heart, an exercise of freedom. The trouble was that many people, picking up on libertarian misconceptions, thought of freedom only in the frame of their own actions.
  • To be truly free, in Anderson’s assessment, members of a society had to be able to function as human beings (requiring food, shelter, medical care), to participate in production (education, fair-value pay, entrepreneurial opportunity), to execute their role as citizens (freedom to speak and to vote), and to move through civil society (parks, restaurants, workplaces, markets, and all the rest).
  • Anderson’s democratic model shifted the remit of egalitarianism from the idea of equalizing wealth to the idea that people should be equally free, regardless of their differences.
  • A society in which everyone had the same material benefits could still be unequal, in this crucial sense; democratic equality, being predicated on equal respect, wasn’t something you could simply tax into existence. “People, not nature, are responsible for turning the natural diversity of human beings into oppressive hierarchies,”
  • Her first book, “Value in Ethics and Economics,” appeared that year, announcing one of her major projects: reconciling value (an amorphous ascription of worth that is a keystone of ethics and economics) with pluralism (the fact that people seem to value things in different ways).
  • Philosophers have often assumed that pluralistic value reflects human fuzziness—we’re loose, we’re confused, and we mix rational thought with sentimental responses.
  • She offered an “expressive” theory: in her view, each person’s values could be various because they were socially expressed, and thus shaped by the range of contexts and relationships at play in a life. Instead of positing value as a basic, abstract quality across society (the way “utility” functioned for economists), she saw value as something determined by the details of an individual’s history.
  • Like her idea of relational equality, this model resisted the temptation to flatten human variety toward a unifying standard. In doing so, it helped expand the realm of free and reasoned economic choice.
  • Anderson’s model unseated the premises of rational-choice theory, in which individuals invariably make utility-maximizing decisions, occasionally in heartless-seeming ways. It ran with, rather than against, moral intuition. Because values were plural, it was perfectly rational to choose to spend evenings with your family, say, and have guilt toward the people you left in the lurch at work.
  • The theory also pointed out the limits on free-market ideologies, such as libertarianism.
  • In ethics, it broke across old factional debates. The core idea “has been picked up on by people across quite a range of positions,” Peter Railton, one of Anderson’s longtime colleagues, says. “Kantians and consequentialists alike”—people who viewed morality in terms of duties and obligations, and those who measured the morality of actions by their effects in the world—“could look at it and see something important.”
  • Traditionally, the discipline is taught through a-priori thought—you start with basic principles and reason forward. Anderson, by contrast, sought to work empirically, using information gathered from the world, identifying problems to be solved not abstractly but through the experienced problems of real people.
  • “Dewey argued that the primary problems for ethics in the modern world concerned the ways society ought to be organized, rather than personal decisions of the individual,”
  • In 2004, the Stanford Encyclopedia of Philosophy asked Anderson to compose its entry on the moral philosophy of John Dewey, who helped carry pragmatist methods into the social realm. Dewey had an idea of democracy as a system of good habits that began in civil life. He was an anti-ideologue with an eye for pluralism.
  • She started working with historians, trying to hone her understanding of ideas by studying them in the context of their creation. Take Rousseau’s apparent support of direct democracy. It’s rarely mentioned that, at the moment when he made that argument, his home town of Geneva had been taken over by oligarchs who claimed to represent the public. Pragmatism said that an idea was an instrument, which naturally gave rise to such questions as: an instrument for what, and where, and when?
  • In “What Is the Point of Equality?,” Anderson had already started to drift away from what philosophers, following Rawls, call ideal theory, based on an end vision for a perfectly just society. As Anderson began a serious study of race in America, though, she found herself losing faith in that approach entirely.
  • Broadly, there’s a culturally right and a culturally left ideal theory for race and society. The rightist version calls for color blindness. Instead of making a fuss about skin and ethnicity, its advocates say, society should treat people as people, and let the best and the hardest working rise.
  • The leftist theory envisions identity communities: for once, give black people (or women, or members of other historically oppressed groups) the resources and opportunities they need, including, if they want it, civil infrastructure for themselves.
  • In “The Imperative of Integration,” published in 2010, Anderson tore apart both of these models. Sure, it might be nice to live in a color-blind society, she wrote, but that’s nothing like the one that exists.
  • But the case for self-segregation was also weak. Affinity groups provided welcome comfort, yet that wasn’t the same as power or equality, Anderson pointed out. And there was a goose-and-gander problem. Either you let only certain groups self-segregate (certifying their subordinate status) or you also permitted, say, white men to do it,
  • Anderson’s solution was “integration,” a concept that, especially in progressive circles, had been uncool since the late sixties. Integration, by her lights, meant mixing on the basis of equality.
  • in attending to these empirical findings over doctrine, she announced herself as a non-ideal theorist: a philosopher with no end vision of society. The approach recalls E. L. Doctorow’s description of driving at night: “You can see only as far as the headlights, but you can make the whole trip that way.”
  • or others, though, a white woman making recommendations on race policy raised questions of perspective. She was engaging through a mostly white Anglo-American tradition. She worked from the premise that, because she drew on folders full of studies, the limits of her own perspective were not constraining.
  • Some philosophers of color welcomed the book. “She’s taking the need for racial justice seriously, and you could hardly find another white political philosopher over a period of decades doing that,”
  • Recently, Anderson changed the way she assigns undergraduate essays: instead of requiring students to argue a position and fend off objections, doubling down on their original beliefs, she asks them to discuss their position with someone who disagrees, and to explain how and why, if at all, the discussion changed their views.
  • The challenge of pluralism is the challenge of modern society: maintaining equality amid difference in a culture given to constant and unpredictable change.
  • Rather than fighting for the ascendancy of certain positions, Anderson suggests, citizens should fight to bolster healthy institutions and systems—those which insure that all views and experiences will be heard. Today’s righteous projects, after all, will inevitably seem fatuous and blinkered from the vantage of another age.
  • Smith saw the markets as an escape from that order. Their “most important” function, he explained, was to bring “liberty and security” to those “who had before lived almost in a continual state of war with their neighbours, and of servile dependency upon their superiors.”
  • Anderson zeroed in on Adam Smith, whose “The Wealth of Nations,” published in 1776, is taken as a keystone of free-market ideology. At the time, English labor was subject to uncompensated apprenticeships, domestic servitude, and some measure of clerical dominion.
  • Smith, in other words, was an egalitarian. He had written “The Wealth of Nations” in no small part to be a solution to what we’d now call structural inequality—the intractable, compounding privileges of an arbitrary hierarchy.
  • It was a historical irony that, a century later, writers such as Marx pointed to the market as a structure of dominion over workers; in truth, Smith and Marx had shared a socioeconomic project. And yet Marx had not been wrong to trash Smith’s ideas, because, during the time between them, the world around Smith’s model had changed, and it was no longer a useful tool.
  • mages of free market society that made sense prior to the Industrial Revolution continue to circulate today as ideals, blind to the gross mismatch between the background social assumptions reigning in the seventeenth and eighteenth centuries, and today’s institutional realities. We are told that our choice is between free markets and state control, when most adults live their working lives under a third thing entirely: private government.
  • Today, people still try to use, variously, both Smith’s and Marx’s tools on a different, postindustrial world:
  • The unnaturalness of this top-heavy arrangement, combined with growing evidence of power abuses, has given many people reason to believe that something is fishy about the structure of American equality. Socialist and anti-capitalist models are again in vogue.
  • Anderson offers a different corrective path. She thinks it’s fine for some people to earn more than others. If you’re a brilliant potter, and people want to pay you more than the next guy for your pottery, great!
  • The problem isn’t that talent and income are distributed in unequal parcels. The problem is that Jeff Bezos earns more than a hundred thousand dollars a minute, while Amazon warehouse employees, many talented and hardworking, have reportedly resorted to urinating in bottles in lieu of a bathroom break. That circumstance reflects some structure of hierarchical oppression. It is a rip in the democratic fabric, and it’s increasingly the norm.
  • Andersonism holds that we don’t have to give up on market society if we can recognize and correct for its limitations—it may even be our best hope, because it’s friendlier to pluralism than most alternatives are.
  • we must be flexible. We must remain alert. We must solve problems collaboratively, in the moment, using society’s ears and eyes and the best tools that we can find.
  • “You can see that, from about 1950 to 1970, the typical American’s wages kept up with productivity growth,” she said. Then, around 1974, she went on, hourly compensation stagnated. American wages have been effectively flat for the past few decades, with the gains of productivity increasingly going to shareholders and to salaries for big bosses.
  • What changed? Anderson rattled off a constellation of factors, from strengthened intellectual-property law to winnowed antitrust law. Financialization, deregulation. Plummeting taxes on capital alongside rising payroll taxes. Privatization, which exchanged modest public-sector salaries for C.E.O. paydays. She gazed into the audience and blinked. “So now we have to ask: What has been used to justify this rather dramatic shift of labor-share of income?”
  • It was no wonder that industrial-age thinking was riddled with contradictions: it reflected what Anderson called “the plutocratic reversal” of classical liberal ideas. Those perversely reversed ideas about freedom were the ones that found a home in U.S. policy, and, well, here we were.
Javier E

Opinion | You Are the Object of Facebook's Secret Extraction Operation - The New York T... - 0 views

  • Facebook is not just any corporation. It reached trillion-dollar status in a single decade by applying the logic of what I call surveillance capitalism — an economic system built on the secret extraction and manipulation of human data
  • Facebook and other leading surveillance capitalist corporations now control information flows and communication infrastructures across the world.
  • These infrastructures are critical to the possibility of a democratic society, yet our democracies have allowed these companies to own, operate and mediate our information spaces unconstrained by public law.
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  • The result has been a hidden revolution in how information is produced, circulated and acted upon
  • The world’s liberal democracies now confront a tragedy of the “un-commons.” Information spaces that people assume to be public are strictly ruled by private commercial interests for maximum profit.
  • The internet as a self-regulating market has been revealed as a failed experiment. Surveillance capitalism leaves a trail of social wreckage in its wake: the wholesale destruction of privacy, the intensification of social inequality, the poisoning of social discourse with defactualized information, the demolition of social norms and the weakening of democratic institutions.
  • These social harms are not random. They are tightly coupled effects of evolving economic operations. Each harm paves the way for the next and is dependent on what went before.
  • There is no way to escape the machine systems that surveil u
  • All roads to economic and social participation now lead through surveillance capitalism’s profit-maximizing institutional terrain, a condition that has intensified during nearly two years of global plague.
  • Will Facebook’s digital violence finally trigger our commitment to take back the “un-commons”?
  • Will we confront the fundamental but long ignored questions of an information civilization: How should we organize and govern the information and communication spaces of the digital century in ways that sustain and advance democratic values and principles?
  • Mark Zuckerberg’s start-up did not invent surveillance capitalism. Google did that. In 2000, when only 25 percent of the world’s information was stored digitally, Google was a tiny start-up with a great search product but little revenue.
  • By 2001, in the teeth of the dot-com bust, Google’s leaders found their breakthrough in a series of inventions that would transform advertising. Their team learned how to combine massive data flows of personal information with advanced computational analyses to predict where an ad should be placed for maximum “click through.”
  • Google’s scientists learned how to extract predictive metadata from this “data exhaust” and use it to analyze likely patterns of future behavior.
  • Prediction was the first imperative that determined the second imperative: extraction.
  • Lucrative predictions required flows of human data at unimaginable scale. Users did not suspect that their data was secretly hunted and captured from every corner of the internet and, later, from apps, smartphones, devices, cameras and sensors
  • User ignorance was understood as crucial to success. Each new product was a means to more “engagement,” a euphemism used to conceal illicit extraction operations.
  • When asked “What is Google?” the co-founder Larry Page laid it out in 2001,
  • “Storage is cheap. Cameras are cheap. People will generate enormous amounts of data,” Mr. Page said. “Everything you’ve ever heard or seen or experienced will become searchable. Your whole life will be searchable.”
  • Instead of selling search to users, Google survived by turning its search engine into a sophisticated surveillance medium for seizing human data
  • Company executives worked to keep these economic operations secret, hidden from users, lawmakers, and competitors. Mr. Page opposed anything that might “stir the privacy pot and endanger our ability to gather data,” Mr. Edwards wrote.
  • As recently as 2017, Eric Schmidt, the executive chairman of Google’s parent company, Alphabet, acknowledged the role of Google’s algorithmic ranking operations in spreading corrupt information. “There is a line that we can’t really get across,” he said. “It is very difficult for us to understand truth.” A company with a mission to organize and make accessible all the world’s information using the most sophisticated machine systems cannot discern corrupt information.
  • This is the economic context in which disinformation wins
  • In March 2008, Mr. Zuckerberg hired Google’s head of global online advertising, Sheryl Sandberg, as his second in command. Ms. Sandberg had joined Google in 2001 and was a key player in the surveillance capitalism revolution. She led the build-out of Google’s advertising engine, AdWords, and its AdSense program, which together accounted for most of the company’s $16.6 billion in revenue in 2007.
  • A Google multimillionaire by the time she met Mr. Zuckerberg, Ms. Sandberg had a canny appreciation of Facebook’s immense opportunities for extraction of rich predictive data. “We have better information than anyone else. We know gender, age, location, and it’s real data as opposed to the stuff other people infer,” Ms. Sandberg explained
  • The company had “better data” and “real data” because it had a front-row seat to what Mr. Page had called “your whole life.”
  • Facebook paved the way for surveillance economics with new privacy policies in late 2009. The Electronic Frontier Foundation warned that new “Everyone” settings eliminated options to restrict the visibility of personal data, instead treating it as publicly available information.
  • Mr. Zuckerberg “just went for it” because there were no laws to stop him from joining Google in the wholesale destruction of privacy. If lawmakers wanted to sanction him as a ruthless profit-maximizer willing to use his social network against society, then 2009 to 2010 would have been a good opportunity.
  • Facebook was the first follower, but not the last. Google, Facebook, Amazon, Microsoft and Apple are private surveillance empires, each with distinct business models.
  • In 2021 these five U.S. tech giants represent five of the six largest publicly traded companies by market capitalization in the world.
  • As we move into the third decade of the 21st century, surveillance capitalism is the dominant economic institution of our time. In the absence of countervailing law, this system successfully mediates nearly every aspect of human engagement with digital information
  • Today all apps and software, no matter how benign they appear, are designed to maximize data collection.
  • Historically, great concentrations of corporate power were associated with economic harms. But when human data are the raw material and predictions of human behavior are the product, then the harms are social rather than economic
  • The difficulty is that these novel harms are typically understood as separate, even unrelated, problems, which makes them impossible to solve. Instead, each new stage of harm creates the conditions for the next stage.
  • Fifty years ago the conservative economist Milton Friedman exhorted American executives, “There is one and only one social responsibility of business — to use its resources and engage in activities designed to increase its profits so long as it stays within the rules of the game.” Even this radical doctrine did not reckon with the possibility of no rules.
  • With privacy out of the way, ill-gotten human data are concentrated within private corporations, where they are claimed as corporate assets to be deployed at will.
  • The sheer size of this knowledge gap is conveyed in a leaked 2018 Facebook document, which described its artificial intelligence hub, ingesting trillions of behavioral data points every day and producing six million behavioral predictions each second.
  • Next, these human data are weaponized as targeting algorithms, engineered to maximize extraction and aimed back at their unsuspecting human sources to increase engagement
  • Targeting mechanisms change real life, sometimes with grave consequences. For example, the Facebook Files depict Mr. Zuckerberg using his algorithms to reinforce or disrupt the behavior of billions of people. Anger is rewarded or ignored. News stories become more trustworthy or unhinged. Publishers prosper or wither. Political discourse turns uglier or more moderate. People live or die.
  • Occasionally the fog clears to reveal the ultimate harm: the growing power of tech giants willing to use their control over critical information infrastructure to compete with democratically elected lawmakers for societal dominance.
  • when it comes to the triumph of surveillance capitalism’s revolution, it is the lawmakers of every liberal democracy, especially in the United States, who bear the greatest burden of responsibility. They allowed private capital to rule our information spaces during two decades of spectacular growth, with no laws to stop it.
  • All of it begins with extraction. An economic order founded on the secret massive-scale extraction of human data assumes the destruction of privacy as a nonnegotiable condition of its business operations.
  • We can’t fix all our problems at once, but we won’t fix any of them, ever, unless we reclaim the sanctity of information integrity and trustworthy communications
  • The abdication of our information and communication spaces to surveillance capitalism has become the meta-crisis of every republic, because it obstructs solutions to all other crises.
  • Neither Google, nor Facebook, nor any other corporate actor in this new economic order set out to destroy society, any more than the fossil fuel industry set out to destroy the earth.
  • like global warming, the tech giants and their fellow travelers have been willing to treat their destructive effects on people and society as collateral damage — the unfortunate but unavoidable byproduct of perfectly legal economic operations that have produced some of the wealthiest and most powerful corporations in the history of capitalism.
  • Where does that leave us?
  • Democracy is the only countervailing institutional order with the legitimate authority and power to change our course. If the ideal of human self-governance is to survive the digital century, then all solutions point to one solution: a democratic counterrevolution.
  • instead of the usual laundry lists of remedies, lawmakers need to proceed with a clear grasp of the adversary: a single hierarchy of economic causes and their social harms.
  • We can’t rid ourselves of later-stage social harms unless we outlaw their foundational economic causes
  • This means we move beyond the current focus on downstream issues such as content moderation and policing illegal content. Such “remedies” only treat the symptoms without challenging the illegitimacy of the human data extraction that funds private control over society’s information spaces
  • Similarly, structural solutions like “breaking up” the tech giants may be valuable in some cases, but they will not affect the underlying economic operations of surveillance capitalism.
  • Instead, discussions about regulating big tech should focus on the bedrock of surveillance economics: the secret extraction of human data from realms of life once called “private.
  • No secret extraction means no illegitimate concentrations of knowledge about people. No concentrations of knowledge means no targeting algorithms. No targeting means that corporations can no longer control and curate information flows and social speech or shape human behavior to favor their interests
  • the sober truth is that we need lawmakers ready to engage in a once-a-century exploration of far more basic questions:
  • How should we structure and govern information, connection and communication in a democratic digital century?
  • What new charters of rights, legislative frameworks and institutions are required to ensure that data collection and use serve the genuine needs of individuals and society?
  • What measures will protect citizens from unaccountable power over information, whether it is wielded by private companies or governments?
  • The corporation that is Facebook may change its name or its leaders, but it will not voluntarily change its economics.
Javier E

Why Is It So Hard to Be Rational? | The New Yorker - 0 views

  • an unusually large number of books about rationality were being published this year, among them Steven Pinker’s “Rationality: What It Is, Why It Seems Scarce, Why It Matters” (Viking) and Julia Galef’s “The Scout Mindset: Why Some People See Things Clearly and Others Don’t” (Portfolio).
  • When the world changes quickly, we need strategies for understanding it. We hope, reasonably, that rational people will be more careful, honest, truthful, fair-minded, curious, and right than irrational ones.
  • And yet rationality has sharp edges that make it hard to put at the center of one’s life
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  • You might be well-intentioned, rational, and mistaken, simply because so much in our thinking can go wrong. (“RATIONAL, adj.: Devoid of all delusions save those of observation, experience and reflection,”
  • You might be rational and self-deceptive, because telling yourself that you are rational can itself become a source of bias. It’s possible that you are trying to appear rational only because you want to impress people; or that you are more rational about some things (your job) than others (your kids); or that your rationality gives way to rancor as soon as your ideas are challenged. Perhaps you irrationally insist on answering difficult questions yourself when you’d be better off trusting the expert consensus.
  • Not just individuals but societies can fall prey to false or compromised rationality. In a 2014 book, “The Revolt of the Public and the Crisis of Authority in the New Millennium,” Martin Gurri, a C.I.A. analyst turned libertarian social thinker, argued that the unmasking of allegedly pseudo-rational institutions had become the central drama of our age: people around the world, having concluded that the bigwigs in our colleges, newsrooms, and legislatures were better at appearing rational than at being so, had embraced a nihilist populism that sees all forms of public rationality as suspect.
  • modern life would be impossible without those rational systems; we must improve them, not reject them. We have no choice but to wrestle with rationality—an ideal that, the sociologist Max Weber wrote, “contains within itself a world of contradictions.”
  • Where others might be completely convinced that G.M.O.s are bad, or that Jack is trustworthy, or that the enemy is Eurasia, a Bayesian assigns probabilities to these propositions. She doesn’t build an immovable world view; instead, by continually updating her probabilities, she inches closer to a more useful account of reality. The cooking is never done.
  • Rationality is one of humanity’s superpowers. How do we keep from misusing it?
  • Start with the big picture, fixing it firmly in your mind. Be cautious as you integrate new information, and don’t jump to conclusions. Notice when new data points do and do not alter your baseline assumptions (most of the time, they won’t alter them), but keep track of how often those assumptions seem contradicted by what’s new. Beware the power of alarming news, and proceed by putting it in a broader, real-world context.
  • Bayesian reasoning implies a few “best practices.”
  • Keep the cooked information over here and the raw information over there; remember that raw ingredients often reduce over heat
  • We want to live in a more rational society, but not in a falsely rationalized one. We want to be more rational as individuals, but not to overdo it. We need to know when to think and when to stop thinking, when to doubt and when to trust.
  • But the real power of the Bayesian approach isn’t procedural; it’s that it replaces the facts in our minds with probabilities.
  • Applied to specific problems—Should you invest in Tesla? How bad is the Delta variant?—the techniques promoted by rationality writers are clarifying and powerful.
  • the rationality movement is also a social movement; rationalists today form what is sometimes called the “rationality community,” and, as evangelists, they hope to increase its size.
  • In “Rationality,” “The Scout Mindset,” and other similar books, irrationality is often presented as a form of misbehavior, which might be rectified through education or socialization.
  • Greg tells me that, in his business, it’s not enough to have rational thoughts. Someone who’s used to pondering questions at leisure might struggle to learn and reason when the clock is ticking; someone who is good at reaching rational conclusions might not be willing to sign on the dotted line when the time comes. Greg’s hedge-fund colleagues describe as “commercial”—a compliment—someone who is not only rational but timely and decisive.
  • You can know what’s right but still struggle to do it.
  • Following through on your own conclusions is one challenge. But a rationalist must also be “metarational,” willing to hand over the thinking keys when someone else is better informed or better trained. This, too, is harder than it sounds.
  • For all this to happen, rationality is necessary, but not sufficient. Thinking straight is just part of the work. 
  • I found it possible to be metarational with my dad not just because I respected his mind but because I knew that he was a good and cautious person who had my and my mother’s best interests at heart.
  • between the two of us, we had the right ingredients—mutual trust, mutual concern, and a shared commitment to reason and to act.
  • Intellectually, we understand that our complex society requires the division of both practical and cognitive labor. We accept that our knowledge maps are limited not just by our smarts but by our time and interests. Still, like Gurri’s populists, rationalists may stage their own contrarian revolts, repeatedly finding that no one’s opinions but their own are defensible. In letting go, as in following through, one’s whole personality gets involved.
  • in truth, it maps out a series of escalating challenges. In search of facts, we must make do with probabilities. Unable to know it all for ourselves, we must rely on others who care enough to know. We must act while we are still uncertain, and we must act in time—sometimes individually, but often together.
  • The realities of rationality are humbling. Know things; want things; use what you know to get what you want. It sounds like a simple formula.
  • The real challenge isn’t being right but knowing how wrong you might be.By Joshua RothmanAugust 16, 2021
  • Writing about rationality in the early twentieth century, Weber saw himself as coming to grips with a titanic force—an ascendant outlook that was rewriting our values. He talked about rationality in many different ways. We can practice the instrumental rationality of means and ends (how do I get what I want?) and the value rationality of purposes and goals (do I have good reasons for wanting what I want?). We can pursue the rationality of affect (am I cool, calm, and collected?) or develop the rationality of habit (do I live an ordered, or “rationalized,” life?).
  • Weber worried that it was turning each individual into a “cog in the machine,” and life into an “iron cage.” Today, rationality and the words around it are still shadowed with Weberian pessimism and cursed with double meanings. You’re rationalizing the org chart: are you bringing order to chaos, or justifying the illogical?
  • For Aristotle, rationality was what separated human beings from animals. For the authors of “The Rationality Quotient,” it’s a mental faculty, parallel to but distinct from intelligence, which involves a person’s ability to juggle many scenarios in her head at once, without letting any one monopolize her attention or bias her against the rest.
  • In “The Rationality Quotient: Toward a Test of Rational Thinking” (M.I.T.), from 2016, the psychologists Keith E. Stanovich, Richard F. West, and Maggie E. Toplak call rationality “a torturous and tortured term,” in part because philosophers, sociologists, psychologists, and economists have all defined it differently
  • Galef, who hosts a podcast called “Rationally Speaking” and co-founded the nonprofit Center for Applied Rationality, in Berkeley, barely uses the word “rationality” in her book on the subject. Instead, she describes a “scout mindset,” which can help you “to recognize when you are wrong, to seek out your blind spots, to test your assumptions and change course.” (The “soldier mindset,” by contrast, encourages you to defend your positions at any cost.)
  • Galef tends to see rationality as a method for acquiring more accurate views.
  • Pinker, a cognitive and evolutionary psychologist, sees it instrumentally, as “the ability to use knowledge to attain goals.” By this definition, to be a rational person you have to know things, you have to want things, and you have to use what you know to get what you want.
  • Introspection is key to rationality. A rational person must practice what the neuroscientist Stephen Fleming, in “Know Thyself: The Science of Self-Awareness” (Basic Books), calls “metacognition,” or “the ability to think about our own thinking”—“a fragile, beautiful, and frankly bizarre feature of the human mind.”
  • A successful student uses metacognition to know when he needs to study more and when he’s studied enough: essentially, parts of his brain are monitoring other parts.
  • In everyday life, the biggest obstacle to metacognition is what psychologists call the “illusion of fluency.” As we perform increasingly familiar tasks, we monitor our performance less rigorously; this happens when we drive, or fold laundry, and also when we think thoughts we’ve thought many times before
  • The trick is to break the illusion of fluency, and to encourage an “awareness of ignorance.”
  • metacognition is a skill. Some people are better at it than others. Galef believes that, by “calibrating” our metacognitive minds, we can improve our performance and so become more rational
  • There are many calibration methods
  • nowing about what you know is Rationality 101. The advanced coursework has to do with changes in your knowledge.
  • Most of us stay informed straightforwardly—by taking in new information. Rationalists do the same, but self-consciously, with an eye to deliberately redrawing their mental maps.
  • The challenge is that news about distant territories drifts in from many sources; fresh facts and opinions aren’t uniformly significant. In recent decades, rationalists confronting this problem have rallied behind the work of Thomas Bayes
  • So-called Bayesian reasoning—a particular thinking technique, with its own distinctive jargon—has become de rigueur.
  • the basic idea is simple. When new information comes in, you don’t want it to replace old information wholesale. Instead, you want it to modify what you already know to an appropriate degree. The degree of modification depends both on your confidence in your preëxisting knowledge and on the value of the new data. Bayesian reasoners begin with what they call the “prior” probability of something being true, and then find out if they need to adjust it.
  • Bayesian reasoning is an approach to statistics, but you can use it to interpret all sorts of new information.
peterconnelly

It's Doom Times in Tech - The New York Times - 0 views

  • The five biggest technology giants in the U.S. have collectively lost more than $2 trillion of stock market value this year.
  • Start-up founders who were turning away eager investors a few months ago now must make an effort to get more money. (Gasp.)
  • Every couple of years for the past decade, anytime there were some wobbles in technology or moments of doubt, smart people predicted that the growth of the tech economy since the Great Recession couldn’t possibly last.
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  • We haven’t seen this combination of economic anxiety and high inflation before. Economists are weighing the risks of a U.S. recession, and companies in many industries are worried that their businesses are slowing.
  • Fast growing start-ups in particular need the faith of investors, customers and employees to keep the momentum going.
  • If within a few months, stock prices bounce back, investors start putting money into start-ups again and the market for initial public offerings unfreezes, the industry might be fine. But if investors stay skittish for many months or years, that could lead to a major shake-up.
peterconnelly

Where Will We Be in 20 Years? - The New York Times - 0 views

  • “Demographics are destiny.”It is a phrase, often attributed to the French philosopher Auguste Comte, that suggests much of the future is preordained by the very simple trend lines of populations. Want to understand how the power dynamic between the United States and China will change over the next 20 years? An economist would tell you to look at the demographics of both countries. (China’s economy is likely to overtake the U.S. economy by 2028, but remain smaller on a per capita basis.)
  • Predicting the future may be a fool’s errand. But using demographic data to assess the opportunities and challenges of the next two decades is something that business and political leaders don’t do enough. We’re all too swept up in the here and now, the next quarter and the next year.
  • More people around the world had more disposable income and increasingly chose to live closer to cities with greater access to airports. That, married with the human condition that people like to be around other people, makes forecasting certain elements of the future almost mathematical.
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  • One aspect of the future that demographics can’t help predict are technological innovations.
  • About 70 percent of the world population is expected to live in urban areas by 2050, according to data from the United Nations.
  • The U.S. Energy Information Administration projects that the world will need about 28 percent more energy in 2040 than it did in 2015 based on the number of people in the country and consumption patterns; on our current trajectory, about 42 percent of electricity in the United States will come from renewable sources.
  • Technology has led us to expect that goods and services will be delivered at the push of a button, often within minutes.
  • Entrepreneurs, industry leaders and policymakers are already at work solving some of the problems that demographic data suggest are ahead of us, whether it’s figuring out how to incentivize farmers to sequester carbon, use insurance as a tool for reducing coal production, reinvent the motors that power heavy industry so they use less energy, or write laws that help govern code.
  • What about the metaverse? Or crypto technology? Or robots taking our jobs? Or A.I. taking over everything? Demographics can’t answer those questions. All of those things may happen, but life in 2041 may also look a lot like it does today — maybe with the exception of those flying cars.
Javier E

Opinion | Elon Musk, Geoff Hinton, and the War Over A.I. - The New York Times - 0 views

  • Beneath almost all of the testimony, the manifestoes, the blog posts and the public declarations issued about A.I. are battles among deeply divided factions
  • Some are concerned about far-future risks that sound like science fiction.
  • Some are genuinely alarmed by the practical problems that chatbots and deepfake video generators are creating right now.
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  • Some are motivated by potential business revenue, others by national security concerns.
  • Sometimes, they trade letters, opinion essays or social threads outlining their positions and attacking others’ in public view. More often, they tout their viewpoints without acknowledging alternatives, leaving the impression that their enlightened perspective is the inevitable lens through which to view A.I.
  • you’ll realize this isn’t really a debate only about A.I. It’s also a contest about control and power, about how resources should be distributed and who should be held accountable.
  • It is critical that we begin to recognize the ideologies driving what we are being told. Resolving the fracas requires us to see through the specter of A.I. to stay true to the humanity of our values.
  • Because language itself is part of their battleground, the different A.I. camps tend not to use the same words to describe their positions
  • One faction describes the dangers posed by A.I. through the framework of safety, another through ethics or integrity, yet another through security and others through economics.
  • The Doomsayers
  • These are the A.I. safety people, and their ranks include the “Godfathers of A.I.,” Geoff Hinton and Yoshua Bengio. For many years, these leading lights battled critics who doubted that a computer could ever mimic capabilities of the human mind
  • Many doomsayers say they are acting rationally, but their hype about hypothetical existential risks amounts to making a misguided bet with our future
  • Reasonable sounding on their face, these ideas can become dangerous if stretched to their logical extremes. A dogmatic long-termer would willingly sacrifice the well-being of people today to stave off a prophesied extinction event like A.I. enslavement.
  • The technology historian David C. Brock calls these fears “wishful worries” — that is, “problems that it would be nice to have, in contrast to the actual agonies of the present.”
  • OpenAI’s Sam Altman and Meta’s Mark Zuckerberg, both of whom lead dominant A.I. companies, are pushing for A.I. regulations that they say will protect us from criminals and terrorists. Such regulations would be expensive to comply with and are likely to preserve the market position of leading A.I. companies while restricting competition from start-ups
  • the roboticist Rodney Brooks has pointed out that we will see the existential risks coming, the dangers will not be sudden and we will have time to change course.
  • While we shouldn’t dismiss the Hollywood nightmare scenarios out of hand, we must balance them with the potential benefits of A.I. and, most important, not allow them to strategically distract from more immediate concerns.
  • The Reformers
  • While the doomsayer faction focuses on the far-off future, its most prominent opponents are focused on the here and now. We agree with this group that there’s plenty already happening to cause concern: Racist policing and legal systems that disproportionately arrest and punish people of color. Sexist labor systems that rate feminine-coded résumés lower
  • Superpower nations automating military interventions as tools of imperialism and, someday, killer robots.
  • Propagators of these A.I. ethics concerns — like Meredith Broussard, Safiya Umoja Noble, Rumman Chowdhury and Cathy O’Neil — have been raising the alarm on inequities coded into A.I. for years. Although we don’t have a census, it’s noticeable that many leaders in this cohort are people of color, women and people who identify as L.G.B.T.Q.
  • Others frame efforts to reform A.I. in terms of integrity, calling for Big Tech to adhere to an oath to consider the benefit of the broader public alongside — or even above — their self-interest. They point to social media companies’ failure to control hate speech or how online misinformation can undermine democratic elections. Adding urgency for this group is that the very companies driving the A.I. revolution have, at times, been eliminating safeguards
  • reformers tend to push back hard against the doomsayers’ focus on the distant future. They want to wrestle the attention of regulators and advocates back toward present-day harms that are exacerbated by A.I. misinformation, surveillance and inequity.
  • Integrity experts call for the development of responsible A.I., for civic education to ensure A.I. literacy and for keeping humans front and center in A.I. systems.
  • Surely, we are a civilization big enough to tackle more than one problem at a time; even those worried that A.I. might kill us in the future should still demand that it not profile and exploit us in the present.
  • Other groups of prognosticators cast the rise of A.I. through the language of competitiveness and national security.
  • Some arguing from this perspective are acting on genuine national security concerns, and others have a simple motivation: money. These perspectives serve the interests of American tech tycoons as well as the government agencies and defense contractors they are intertwined with.
  • they appear deeply invested in the idea that there is no limit to what their creations will be able to accomplish.
  • U.S. megacompanies pleaded to exempt their general purpose A.I. from the tightest regulations, and whether and how to apply high-risk compliance expectations on noncorporate open-source models emerged as a key point of debate. All the while, some of the moguls investing in upstart companies are fighting the regulatory tide. The Inflection AI co-founder Reid Hoffman argued, “The answer to our challenges is not to slow down technology but to accelerate it.”
  • The warriors’ narrative seems to misrepresent that science and engineering are different from what they were during the mid-20th century. A.I. research is fundamentally international; no one country will win a monopoly.
  • As the science-fiction author Ted Chiang has said, fears about the existential risks of A.I. are really fears about the threat of uncontrolled capitalism
  • Regulatory solutions do not need to reinvent the wheel. Instead, we need to double down on the rules that we know limit corporate power. We need to get more serious about establishing good and effective governance on all the issues we lost track of while we were becoming obsessed with A.I., China and the fights picked among robber barons.
  • By analogy to the health care sector, we need an A.I. public option to truly keep A.I. companies in check. A publicly directed A.I. development project would serve to counterbalance for-profit corporate A.I. and help ensure an even playing field for access to the 21st century’s key technology while offering a platform for the ethical development and use of A.I.
  • Also, we should embrace the humanity behind A.I. We can hold founders and corporations accountable by mandating greater A.I. transparency in the development stage, in addition to applying legal standards for actions associated with A.I. Remarkably, this is something that both the left and the right can agree on.
Javier E

Yuval Noah Harari paints a grim picture of the AI age, roots for safety checks | Techno... - 0 views

  • Yuval Noah Harari, known for the acclaimed non-fiction book Sapiens: A Brief History of Mankind, in his latest article in The Economist, has said that artificial intelligence has “hacked” the operating system of human civilization
  • he said that the newly emerged AI tools in recent years could threaten the survival of human civilization from an “unexpected direction.”
  • He demonstrated how AI could impact culture by talking about language, which is integral to human culture. “Language is the stuff almost all human culture is made of. Human rights, for example, aren’t inscribed in our DNA. Rather, they are cultural artifacts we created by telling stories and writing laws. Gods aren’t physical realities. Rather, they are cultural artifacts we created by inventing myths and writing scriptures,” wrote Harari.
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  • He stated that democracy is also a language that dwells on meaningful conversations, and when AI hacks language it could also destroy democracy.
  • The 47-year-old wrote that the biggest challenge of the AI age was not the creation of intelligent tools but striking a collaboration between humans and machines.
  • To highlight the extent of how AI-driven misinformation can change the course of events, Harari touched upon the cult QAnon, a political movement affiliated with the far-right in the US. QAnon disseminated misinformation via “Q drops” that were seen as sacred by followers.
  • Harari also shed light on how AI could form intimate relationships with people and influence their decisions. “Through its mastery of language, AI could even form intimate relationships with people and use the power of intimacy to change our opinions and worldviews,” he wrote. To demonstrate this, he cited the example of Blake Lemoine, a Google engineer who lost his job after publicly claiming that the AI chatbot LaMDA had become sentient. According to the historian, the controversial claim cost Lemoine his job. He asked if AI can influence people to risk their jobs, what else could it induce them to do?
  • Harari also said that intimacy was an effective weapon in the political battle of minds and hearts. He said that in the past few years, social media has become a battleground for controlling human attention, and the new generation of AI can convince people to vote for a particular politician or buy a certain product.
  • In his bid to call attention to the need to regulate AI technology, Harari said that the first regulation should be to make it mandatory for AI to disclose that it is an AI. He said it was important to put a halt on ‘irresponsible deployment’ of AI tools in the public domain, and regulating it before it regulates us.
  • The author also shed light on the fact that how the current social and political systems are incapable of dealing with the challenges posed by AI. Harari emphasised the need to have an ethical framework to respond to challenges posed by AI.
  • He argued that while GPT-3 had made remarkable progress, it was far from replacing human interactions
Javier E

All the Trump Indictments Everywhere All at Once - 0 views

  • Here’s Furman:There’s what economists think people should think about inflation—and what people actually think about inflation are different. . . .Inflation has big winners and losers. So surprise inflation helps debtors and hurts creditors. And there are probably tens of millions of people in our economy who have benefited from inflation. Maybe it’s a business that was able to raise prices more. Maybe a worker who was able to get a bigger raise. Maybe it’s someone whose mortgage is now worth 10 percent less.But there are not tens of millions of people who think they’ve benefited from inflation. In fact, I’m not sure there are tens of people who think they’ve benefited from inflation.And so it has these winners and losers. The losers are very aware of their losses. The winners are completely oblivious to their gains.So then as a policymaker, do you want to sort of make people happy? Or do you want to sort of do what you think is in their economic and financial interests? And that to me is not obvious.
  • Oh it’s obvious to me. The People are the problem.But they’re a persistent problem and until the AIs replace us, The People aren’t going away. So given this constraint, I’m not sure that an optimal solution is ever going to be politically possible in American democracy. The country is too fractured. Our political institutions too compromised.
  • so if you work from the assumption that we’re going to shoot wide of the mark in one direction or the other, I’d still rather be on the Trump-Biden side of having done too much, and dealing with our attendant problems than the Bush-Obama side of having done too little.
Javier E

The Class Politics of Instagram Face - Tablet Magazine - 0 views

  • by approaching universality, Instagram Face actually secured its role as an instrument of class distinction—a mark of a certain kind of woman. The women who don’t mind looking like others, or the conspicuousness of the work they’ve had done
  • Instagram Face goes with implants, middle-aged dates and nails too long to pick up the check. Batting false eyelashes, there in the restaurant it orders for dinner all the food groups of nouveau riche Dubai: caviar, truffle, fillers, foie gras, Botox, bottle service, bodycon silhouettes. The look, in that restaurant and everywhere, has reached a definite status. It’s the girlfriend, not the wife.
  • Does cosmetic work have a particular class? It has a price tag, which can amount to the same thing, unless that price drops low enough.
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  • Before the introduction of Botox and hyaluronic acid dermal fillers in 2002 and 2003, respectively, aesthetic work was serious, expensive. Nose jobs and face lifts required general anesthesia, not insignificant recovery time, and cost thousands of dollars (in 2000, a facelift was $5,416 on average, and a rhinoplasty $4,109, around $9,400 and $7,000 adjusted).
  • In contrast, the average price of a syringe of hyaluronic acid filler today is $684, while treating, for example, the forehead and eyes with Botox will put you out anywhere from $300 to $600
  • We copied the beautiful and the rich, not in facsimile, but in homage.
  • In 2018, use of Botox and fillers was up 18% and 20% from five years prior. Philosophies of prejuvenation have made Botox use jump 22% among 22- to 37-year-olds in half a decade as well. By 2030, global noninvasive aesthetic treatments are predicted to triple.
  • The trouble is that a status symbol, without status, is common.
  • Beauty has always been exclusive. When someone strikes you as pretty, it means they are something that everyone else is not.
  • It’s a zero-sum game, as relative as our morals. Naturally, we hoard of beauty what we can. It’s why we call grooming tips “secrets.”
  • Largely the secrets started with the wealthy, who possess the requisite money and leisure to spare on their appearances
  • Botox and filler only accelerated a trend that began in the ’70s and ’80s and is just now reaching its saturation point.
  • we didn’t have the tools for anything more than emulation. Fake breasts and overdrawn lips only approximated real ones; a birthmark drawn with pencil would always be just that.
  • Instagram Face, on the other hand, distinguishes itself by its sheer reproducibility. Not only because of those new cosmetic technologies, which can truly reshape features, at reasonable cost and with little risk.
  • built in to the whole premise of reversible, low-stakes modification is an indefinite flux, and thus a lack of discretion.
  • Instagram Face has replicated outward, with trendsetters giving up competing with one another in favor of looking eerily alike. And obviously it has replicated down.
  • Eva looks like Eva. If she has procedures in common with Kim K, you couldn’t tell. “I look at my features and I think long and hard of how I can, without looking different and while keeping as natural as possible, make them look better and more proportional. I’m against everything that is too invasive. My problem with Instagram Face is that if you want to look like someone else, you should be in therapy.”
  • natural looks have always been, and still are, more valuable than artificial ones. Partly because of our urge to legitimize in any way we can the advantages we have over other people. Hotness is a class struggle.
  • As more and more women post videos of themselves eating, sleeping, dressing, dancing, and Only-Fanning online, in a logical bid for economic ascendance, the women who haven’t needed to do that gain a new status symbol.
  • Privacy. A life which is not a ticketed show. An intimacy that does not admit advertisers. A face that does not broadcast its insecurity, or the work undergone to correct it.
  • Upper class, private women get discrete work done. The differences aren’t in the procedures themselves—they’re the same—but in disposition
  • Eva, who lives between central London, Geneva, and the south of France, says: “I do stuff, but none of the stuff I do is at all in my head associated with Instagram Face. Essentially you do similar procedures, but the end goal is completely different. Because they are trying to get the result of looking like another human being, and I’m just beautifying myself.”
  • But the more rapidly it replicates, and the clearer our manuals for quick imitation become, the closer we get to singularity—that moment Kim Kardashian fears unlike any other: the moment when it becomes unclear whether we’re copying her, or whether she is copying us.
  • what he restores is complicated and yet not complicated at all. It’s herself, the fingerprint of her features. Her aura, her presence and genealogy, her authenticity in space and time.
  • Dr. Taktouk’s approach is “not so formulaic.” He aims to give his patients the “better versions of themselves.” “It’s not about trying to be anyone else,” he says, “or creating a conveyor belt of patients. It’s about working with your best features, enhancing them, but still looking like you.”
  • “Vulgar” says that in pursuing indistinguishability, women have been duped into another punishing divide. “Vulgar” says that the subtlety of his work is what signals its special class—and that the women who’ve obtained Instagram Face for mobility’s sake have unwittingly shut themselves out of it.
  • While younger women are dissolving their gratuitous work, the 64-year-old Madonna appeared at the Grammy Awards in early February, looking so tragically unlike herself that the internet launched an immediate postmortem.
  • The folly of Instagram Face is that in pursuing a bionic ideal, it turns cosmetic technology away from not just the reality of class and power, but also the great, poignant, painful human project of trying to reverse time. It misses the point of what we find beautiful: that which is ephemeral, and can’t be reproduced
  • Age is just one of the hierarchies Instagram Face can’t topple, in the history of women striving versus the women already arrived. What exactly have they arrived at?
  • Youth, temporarily. Wealth. Emotional security. Privacy. Personal choices, like cosmetic decisions, which are not so public, and do not have to be defended as empowered, in the defeatist humiliation of our times
  • Maybe they’ve arrived at love, which for women has never been separate from the things I’ve already mentioned.
  • I can’t help but recall the time I was chatting with a plastic surgeon. I began to point to my features, my flaws. I asked her, “What would you do to me, if I were your patient?” I had many ideas. She gazed at me, and then noticed my ring. “Nothing,” she said. “You’re already married.”
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