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Javier E

Science is revealing why American politics are so intensely polarized - The Washington ... - 0 views

www.washingtonpost.com/...n-science-evolution-psychology

polarization in-group social animal political science

shared by Javier E on 20 Jan 24 - No Cached
  • One theme emerges in much of the research: Our politics tend be more emotional now. Policy preferences are increasingly likely to be entangled with a visceral dislike of the opposition. The newly embraced academic term for this is “affective polarization.”
  • “It’s feelings based,” said Lilliana Mason, a political scientist at Johns Hopkins University and author of “Uncivil Agreement: How Politics Became Our Identity.” “It’s polarization that’s based on our feelings for each other, not based on extremely divergent policy preferences.”
  • The tendency to form tightly knit groups has roots in evolution, according to experts in political psychology. Humans evolved in a challenging world of limited resources in which survival required cooperation — and identifying the rivals, the competitors for those resources.
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  • “The evolution of cooperation required out-group hatred. Which is really sad,” said Nicholas Christakis, a Yale sociologist and author of “Blueprint: The Evolutionary Origins of a Good Society.”
  • No researcher argues that human nature is the sole, or even the primary, cause of today’s polarization. But savvy political operatives can exploit, leverage and encourage it. And those operatives are learning from their triumphs in divide-and-conquer politics.
  • “We wouldn’t have civilizations if we didn’t create groups. We are designed to form groups, and the only way to define a group is there has to be someone who’s not in it,” Mason said.
  • Experiments have revealed that “children as young as two will prefer other children randomly assigned to the same T-shirt color,”
  • enmity and derision can arise independently of any rational reason for it.
  • Mason and Christakis point to a famous-among-academics experiment from 1954. Social psychologist Muzafer Sherif took 22 Boy Scouts and separated them into two groups camping at Robbers Cave State Park in Oklahoma. Only after a week did they learn that there was another group at the far end of the campground.
  • What they did next fascinated the research team. Each group developed irrational contempt for the other. The boys in the other group were seen not just as rivals, but as fundamentally flawed human beings. Only when the two groups were asked to work together to solve a common problem did they warm up to one another.
  • And because many more districts are now deeply red or blue, rather than a mix of constituencies, House members have fewer reasons to adopt moderate positions.
  • “Homo sapiens is a social species; group affiliation is essential to our sense of self. Individuals instinctively think of themselves as representing broad socioeconomic and cultural categories rather than as distinctive packages of traits,”
  • Here’s where psychology gives way to political science. The American political system may cultivate “out-group” hatred, as academics put it. One of the scarce resources in this country is political power at the highest levels of government. The country has no parliamentary system in which multiple parties form governing coalitions.
  • Add to this fact the redistricting that ensures there are fewer truly competitive congressional races. The two parties have inexorably moved further apart ideologically, and leaders are more likely to be punished — “primaried” — if they reach across the aisle.
  • Shanto Iyengar, a Stanford political psychologist who coined the term “affective polarization,” explained in a 2018 paper why people typically identify with a group.
  • Human nature hasn’t changed, but technology has. The fragmentation of the media has made it easier to gather information in an echo chamber, Iyengar said. He calls this “sorting.” Not only do people cluster around specific beliefs or ideas, they physically cluster, moving to neighborhoods where residents are likely to look like them and think like them.
  • Partisan clustering has increased even within households. In 1965, Iyengar said, only about 60 percent of married couples had the same party registration. Today, the figure is greater than 85 percent
  • Asked in the summer of 2022 if they agree or disagree that members of the other party “lack the traits to be considered fully human — they behave like animals,” about 30 percent in both parties agreed, Mason’s research shows.
  • Research shows that affective polarization is intensifying across the political spectrum. Recent survey data revealed that more than half of Republicans and Democrats view the other party as “a threat,” and nearly as many agree with the description of the other party as “evil,” Mason said.
  • A recent paper published in the journal Science argued that the three core ingredients of political sectarianism are “othering, aversion, and moralization.” Trump has mastered that recipe. He activates emotional responses in his followers by telling them that they are threatened.
Javier E

Inside the porn industry, AI looms large - The Washington Post - 0 views

www.washingtonpost.com/...ai-porn-avn-industry

porn ai transformation disruption culture

shared by Javier E on 28 Feb 24 - No Cached
  • Since the first AVN “expo” in 1998, adult entertainment has been overtaken by two business models: Pornhub, a free site supported by ads, and OnlyFans, a subscription platform where individual actors control their businesses and their fate.
  • Now, a new shift is on the horizon: Artificial intelligence models that spin up photorealistic images and videos that put viewers in the director’s chair, letting them create whatever porn they like.
  • Some site owners think it’s a privilege people will pay for, and they are racing to build custom AI models that — unlike the sanitized content on OpenAI’s video engine Sora — draw on a vast repository of porn images and videos.
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  • he trickiest question may be how to prevent abuse. AI generators have technological boundaries, but not morals, and it’s relatively easy for users to trick them into creating content that depicts violence, rape, sex with children or a celebrity — or even a crush from work who never consented to appear
  • In some cases, the engines themselves are trained on porn images whose subjects didn’t explicitly agree to the new use. Currently, no federal laws protect the victims of nonconsensual deepfakes.
  • Adult entertainment is a giant industry accounting for a substantial chunk of all internet traffic: Major porn sites get more monthly visitors and page views than Amazon, Netflix, TikTok or Zoom
  • The industry is a habitual early adopter of new technology, from VHS to DVD to dot com. In the mid-2000s, porn companies set up massive sites where users upload and watch free videos, and ad sales foot the bills.
  • At last year’s AVN conference, Steven Jones said his peers looked at him “like he was crazy” when he talked about AI opportunities: “Nobody was interested.” This year, Jones said, he’s been “the belle of the ball.”
  • He called up his old business partner, and the two immediately spent about $550,000 securing the web domains for porn dot ai, deepfake dot com and deepfakes dot com, Jones said. “Lightspeed” was back.
  • One major model, Stable Diffusion, shares its code publicly, and some technologists have figured out how to edit the code to allow for sexual images
  • What keeps Jones up at night is people trying to use his company’s tools to generate images of abuse, he said. The models have some technological guardrails that make it difficult for users to render children, celebrities or acts of violence. But people are constantly looking for workarounds.
  • So with help from an angel investor he will not name, Jones hired five employees and a handful of offshore contractors and started building an image engine trained on bundles of freely available pornographic images, as well as thousands of nude photos from Jones’s own collection
  • Users create what Jones calls a “dream girl,” prompting the AI with descriptions of the character’s appearance, pose and setting. The nudes don’t portray real people, he said. Rather, the goal is to re-create a fantasy from the user’s imagination.
  • The AI-generated images got better, their computerized sheen growing steadily less noticeable. Jones grew his user base to 500,000 people, many of whom pay to generate more images than the five per day allotted to free accounts, he said. The site’s “power users” generate AI porn for 10 hours a day, he said.
  • Jones described the site as an “artists’ community” where people can explore their sexualities and fantasies in a safe space. Unlike some corners of the traditional adult industry, no performers are being pressured, underpaid or placed in harm’s way
  • And critically, consumers don’t have to wait for their favorite OnlyFans performer to come online or trawl through Pornhub to find the content they like.
  • Next comes AI-generated video — “porn’s holy grail,” Jones said. Eventually, he sees the technology becoming interactive, with users giving instructions to lifelike automated “performers.” Within two years, he said, there will be “fully AI cam girls,” a reference to creators who make solo sex content.
  • It costs $12 per day to rent a server from Amazon Web Services, he said, and generating a single picture requires users to have access to a corresponding server. His users have so far generated more than 1.6 million images.
  • Copyright holders including newspapers, photographers and artists have filed a slew of lawsuits against AI companies, claiming the companies trained their models on copyrighted content. If plaintiffs win, it could cut off the free-for-all that benefits entrepreneurs such as Jones.
  • But Jones’s plan to create consumer-friendly AI porn engines faced significant obstacles. The companies behind major image-generation models used technical boundaries to block “not safe for work” content and, without racy images to learn from, the models weren’t good at re-creating nude bodies or scenes.
  • Jones said his team takes down images that other users flag as abusive. Their list of blocked prompts currently contains 1,000 terms including “high school.”
  • “I see certain things people type in, and I just hope to God they’re trying to test the model, like we are. I hope they don’t actually want to see the things they’re typing in.
  • Peter Acworth, the owner of kink dot com, is trying to teach an AI porn generator to understand even subtler concepts, such as the difference between torture and consensual sexual bondage. For decades Acworth has pushed for spaces — in the real world and online — for consenting adults to explore nonconventional sexual interests. In 2006, he bought the San Francisco Armory, a castle-like building in the city’s Mission neighborhood, and turned it into a studio where his company filmed fetish porn until shuttering in 2017.
  • Now, Acworth is working with engineers to train an image-generation model on pictures of BDSM, an acronym for bondage and discipline, dominance and submission, sadism and masochism.
  • Others alluded to a porn apocalypse, with AI wiping out existing models of adult entertainment.“Look around,” said Christian Burke, head of engineering at the adult-industry payment app Melon, gesturing at performers huddled, laughing and hugging across the show floor. “This could look entirely different in a few years.”
  • But the age of AI brings few guarantees for the people, largely women, who appear in porn. Many have signed broad contracts granting companies the rights to reproduce their likeness in any medium for the rest of time
  • Not only could performers lose income, Walters said, they could find themselves in offensive or abusive scenes they never consented to.
  • Lana Smalls, a 23-year-old performer whose videos have been viewed 20 million times on Pornhub, said she’s had colleagues show up to shoots with major studios only to be surprised by sweeping AI clauses in their contracts.
  • “This industry is too fragmented for collective bargaining,” Spiegler said. “Plus, this industry doesn’t like rules.”
Javier E

Jake Sullivan's Revolution - POLITICO - 0 views

www.politico.com/...n-globalization-biden-00141697

politics crisis history US economics policy biden strategy

shared by Javier E on 21 Feb 24 - No Cached
  • Sullivan first had to dismantle establishment orthodoxies within himself — the same orthodoxies he now sought to undo at Brookings: That globalization and free trade were an unalloyed good, growing economies and improving people’s lives in the process. What was good for the stock market, in effect, was great for everybody. Given enough time, swelling wallets would produce a steady middle class, one that demands its political and human rights from its government. Even the most repressive regimes, the thinking went, would eventually crumble under the weight of inflowing capital. Consistent pressure via greenbacks did the most good for the most people.
  • “Those were the heady days when the mainstream foreign policy consensus was that globalization was a force for good,” Sullivan recalled in a 2017 interview. There was, of course, reason to think this. Capitalism helped keep the Soviet Union at bay, China still wasn’t a major power and building the economies of enemies turned them into friends. Globalization, per its champions, had the benefit of making many people rich while making the world safer in general and U.S. foreign policy less costly.
  • “After the Second World War, the United States led a fragmented world to build a new international economic order. It lifted hundreds of millions of people out of poverty. It sustained thrilling technological revolutions. And it helped the United States and many other nations around the world achieve new levels of prosperity. But the last few decades revealed cracks in those foundations,”
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  • In other words, the Marshall Plan and the tech boom during the 1990s were products of their time and place. They wouldn’t necessarily have the desired effects in a modern context.
  • “A shifting global economy left many working Americans and their communities behind. A financial crisis shook the middle class. A pandemic exposed the fragility of our supply chains. A changing climate threatened lives and livelihoods. Russia’s invasion of Ukraine underscored the risks of overdependence.”
  • What was the solution? Instead of rampant globalization, Sullivan’s pitch was that a reenergized American economy made the country stronger. It was time to remake the Rust Belt into a Cobalt Corridor, to establish industries that led not only to blue-collar work but to azure-collared careers. If that was done right, a strengthened America could act more capably around the globe.
  • “This moment demands that we forge a new consensus. That’s why the United States, under President Biden, is pursuing a modern industrial and innovation strategy — both at home and with partners around the world,
  • Implicitly, Sullivan said the main assumptions undergirding America’s foreign and economic policy had been wrong for decades. China, and the Washington belief that liberalized markets would eventually lead to democracy within the halls of power in Beijing, was the most glaring example.
  • “By the time President Biden came into office, we had to contend with the reality that a large non-market economy had been integrated into the international economic order in a way that posed considerable challenges,” he said, citing China’s large-scale subsidization of multiple sectors that crushed America’s competitiveness across industries. Making matters worse, Sullivan continued, “economic integration didn’t stop China from expanding its military ambitions.” It also didn’t stop countries like Russia from invading their neighbors.
  • Standing in front of the esteemed audience, Sullivan was telling them he didn’t want to be caught flat-footed as the global economy reshaped around them. The U.S. government would be proactive, prepared and proud in search of an industrial strategy to undergird American power. Without saying the words, he was offering a plan to make America great again.
  • A self-proclaimed “A-Team” came together to move beyond the Trump era, but in some ways they embraced elements of it. Not the nativist demagoguery, but the need to return to fundamentals: a healthy middle class powered by a humming industrial base, a humility about what the U.S. military alone can accomplish, a solid cadre of allies, attention to the most existential threats and a refresh of the tenets that sustain American democracy.
  • “This strategy will take resolve — it will take a dedicated commitment to overcoming the barriers that have kept this country and our partners from building rapidly, efficiently, and fairly as we were able to do in the past,”
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