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As Trump refuses to concede, his agencies awkwardly prepare what they can for a Biden t... - 0 views

  • The federal agencies were required by law to prepare for a transition before the 2020 election, but the flurry of activity that would normally be taking place during a presidential transition sits on hold thanks to President Donald Trump's refusal to accept the election results.
  • Agency officials in the Trump administration put in charge of the transition are in the awkward place of effectively twiddling their thumbs until the General Services Administration, an agency led by a Trump appointee, signs off on the election results
  • Cabinet leaders, meanwhile, have suggested there will be a second Trump term,
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  • "This is not direction from the current political appointees from the Trump administration, it's from basically the staff below the political level," the staffer said.
  • "We had a call yesterday and talked quite a bit about this, and the direction we received was to expect a transition, start planning for it, think about the things that the Biden team would likely want to see and start brushing up on those documents and start thinking about how do we frame our programs, and our work in a way that is attractive to the Biden administration," the staffer told CNN.
  • One Department of Energy division is starting to quietly prepare for the incoming Biden administration even though no official connection has been made, according to one staffer in the department.
  • until there is a declaration certifying the election, personnel should refrain from speaking directly with members of the Biden team and continue to go through the department's transition office, a department official told CNN.
  • "They have done everything they can do. Now they just wait," said a source familiar with the process.
  • department officials realize they have no other option but to remain patient, recognizing that they will eventually get to work with the incoming team, they also believe the department needs a tremendous amount of attention and would like the Biden team to get in as soon as possible.
  • A Treasury staffer said the Treasury Department has been "running through a standard transition process," which began a month out from the election. That process is ongoing, the source said, though there has been no communication regarding landing teams from the Biden transition yet.
  • "The silence is still deafening," a DHS official said when asked about outreach from leadership on the transition. The department seems to be in a "wait and see" mode, the official added, saying that any transactions with the Biden team prior to official certification appear "unlikely at this point."
  • "Much of the story of this last administration and the next couple of months is a disdain for the workings of government," Chertoff said. "It's almost as if it's a determination that they want to wreck government and make it as hard as possible for government to do its job. The problem is that leaves a lot of people dead, as we've seen with the virus."
  • Trump has refused to accept the outcome, spreading false claims of widespread voter fraud while his campaign has filed a flurry of lawsuits that aren't going to overturn the results of the election.
  • some of Trump's Cabinet officials have stayed loyal to his false claims, suggesting there will be a second Trump term.
  • At a news conference on Tuesday, Secretary of State Mike Pompeo claimed, "There will be a smooth transition to a second Trump administration."
  • "Obviously, if there's a transition here, we're going to ensure it's a professional, cooperative one," Azar said.
  • Biden's team is moving forward with its transition, naming a lengthy team for all of the agencies that is beginning the work of selecting Cabinet leaders and staffing up, even though it is currently shut out from funding -- and the agencies themselves. Biden's team is downplaying the significance the delayed transition will have on the incoming administration.
  • there are tangible effects to the delay.
  • Normally, a President-elect would immediately begin receiving the same classified briefings as the President. But so far those briefings have not happened for Biden, as the Office of the Director of National Intelligence has not engaged with the Biden team.
  • While Biden's coronavirus team has been reaching out to states and the medical community to hit the ground running once Biden is inaugurated, the transition team does not have access to the administration's Covid-19 data and virus distribution plans.
  • "Not only are they not getting access to classified information or already appropriated funds, they aren't getting their review teams into the agencies, and getting ahold of the real budget picture in the agencies and the real personnel picture," said Denis McDonough, who was President Barack Obama's chief of staff.
  • The office spaces for the transition teams --- both the State Department career officials assigned to the job by the department and the Biden State Department team -- are sitting vacant.
  • The Biden team is also aware that even when they are able to speak with current defense officials after the General Services Administration signs off on Biden's victory, those officials may not be eager to engage or be as forthcoming as the ones who have already departed.
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High School Football Inc. - The New York Times - 0 views

  • Their assuredness is as bold as the company behind the school: IMG, the global sports management conglomerate that has helped propel the competitive leap that high school football has made beyond the traditional community team.
  • convention is being challenged by a more professional model at the highest levels as top players urgently pursue college scholarships, training becomes more specialized, big business opens its wallet, school choice expands, and schools seek to market themselves through sports, some for financial survival.
  • Increasingly, prep football talent is being consolidated on powerful public, private, parochial, charter and magnet school teams. And recruiting to those schools is widespread in one guise or another.
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  • IMG is at the forefront. It is trying to enhance its academy brand with football, perhaps the most visible sport. And it is applying a business model to the gridiron that has long been profitable for tennis and has expanded to golf, soccer, baseball, basketball, lacrosse, and track and field. The academy has nearly 1,000 students from more than 80 countries enrolled in prekindergarten through 12th grade and postgraduation. About half the students are international.
  • Although it is private, IMG Academy has received more than $7 million from the Florida state budget over the past two years, according to news accounts. An additional $2 million was pledged by lawmakers in June but was then vetoed by Gov. Rick Scott.
  • The full cost of tuition and boarding for a year of football at IMG Academy is $70,800, although need-based financial assistance is available. School officials would not provide specific figures, but they said that payments by families could range from tens of thousands of dollars to a competition fee (between $3,750 and $4,500) to nothing.
  • IMG bought the academy in 1987, and it now covers more than 500 acres. Football began in 2013 as part of a $197 million campus expansion. Games are played in a 5,000-seat stadium outfitted with suites and a jumbo video screen. Digital screens depict each player’s name and face on his locker. Some N.F.L. players train there in the off-season, as do college players preparing for the pro draft.
  • The school, 45 miles south of Tampa, recruits football players from around the country, offering high-performance training, college preparatory courses, coaches with N.F.L. playing experience, facilities that resemble a small college more than a high school, and a chance to play a national schedule and on national television on ESPN against some of the country’s highest-rated teams.
  • “We run a business,” said Chip McCarthy, a co-managing director of IMG Academy. “We call it sales and marketing. Some people call it recruiting. We’re promoting our program. If you look at any private school that emphasizes sports, they’re typically doing it to promote their school. A lot are trying to survive. You’re not going to curtail that.”
  • Many high school football coaches and officials are closely following IMG Academy, wondering whether it portends the growth of similar academies or superleagues featuring top teams.
  • “I’m 50-50 split,” said John Wilkinson, the coach at Cocoa High School, who faced IMG Academy last week and said he would do it again. “They’re high school kids, just like us. We’re playing a football game. The other 50 percent thinks the competitive advantage they have is kind of alarming, if they’re allowed to recruit. But it is what it is.”
  • Other officials express fear that football might follow the path of high school basketball, which many feel has been corrupted by so-called diploma mills and the heavy influence of club teams and recruiting middlemen.
  • Mickey McCarty, who has coached three state championship teams at Neville High School in Monroe, La., and who lost a senior receiver to IMG Academy days before fall practice began, said the academy seemed less a traditional football team than a showcase for individual talent.
  • “It sounds to me like they’re playing for self, to be promoted and recruited, which takes away everything we stand for,” McCarty said.
  • Academy officials said that 186 athletes from IMG’s 2015 graduating class were playing various college sports, including six at Ivy League universities and four at service academies. Academics and athletics are intended to simulate the college experience with dormitory living, alternate-day classes, block scheduling and a focus on time management.
  • “I came here assuming it was going to be easy, it’s just going to be a football school, but I learned within the first week I was completely wrong,” said Kjetil Cline, 17, a senior receiver from Minnesota who plans to play football at the United States Military Academy. “That really opened my eyes about what college would be like, and I think it’s really prepared me for going to West Point and being able to handle that.”
  • “Academy teams, while they may be good teams and give great educations, it’s not something that we really believe in or would promote or espouse in any way. We think the high school experience is best served by the student-athlete who lives at home with his family and is part of his school, family and community.”
  • The players at IMG and their families consider that approach to be antiquated. For Patterson, a quarterback who won state championships the previous two seasons at a high school in Louisiana, IMG Academy is serving as a finishing school.
  • Patterson said he transferred to IMG in June to work on his speed, strength and conditioning. He plans to graduate in December, enroll for the spring semester at the University of Mississippi and challenge for the starting quarterback position there next fall as a freshman.“It’s definitely a professional decision,” he said.
  • teve Walsh, IMG Academy’s director of football, and Rich Bartel, the offensive coordinator, both played quarterback in the N.F.L. There are also sports psychologists, strength coaches and speed coaches to assist Patterson. He has at his disposal a 10,000-square-foot weight room; a sports science center to aid with hydration and nutrition; a biomechanics center; a vision lab, or “mind gym,” to enhance perceptual and cognitive skills; and a hospital for special surgery and sports rehabilitation should he be injured.
  • When IMG Academy played in Texas this month, it trained at Texas Christian University, and Wright, the Ascenders’ coach, said, “We’re thinking, ‘Hey, our practice fields are maybe a little bit better.’ ”
  • At the top levels of high school football, some teams routinely travel to play teams in other states. Games are frequently broadcast on regional or national cable channels. Some players are offered college scholarships as early as eighth grade.
  • “It’s all driven by money, and you can’t beat money,” said John Bachman Sr., who coached Patterson to state titles the past two seasons at Calvary Baptist Academy in Shreveport, La. As a freshman, Patterson played at a high school in Texas.
  • Even so, he added, “I don’t think anything’s ever going to take the place of the local public high school or private school that pours itself into the kid, and it’s a family atmosphere and it’s about the team and sacrifice and so on.”
  • Sean Patterson Sr., Shea’s father, said, “If your son’s a great musician, you want to send him to Juilliard,” adding that for Shea, IMG Academy “is the spot” for polishing his football skills for college.
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Alex Stamos, Facebook Data Security Chief, To Leave Amid Outcry - The New York Times - 0 views

  • One central tension at Facebook has been that of the legal and policy teams versus the security team. The security team generally pushed for more disclosure about how nation states had misused the site, but the legal and policy teams have prioritized business imperatives, said the people briefed on the matter.
  • “The people whose job is to protect the user always are fighting an uphill battle against the people whose job is to make money for the company,” said Sandy Parakilas, who worked at Facebook enforcing privacy and other rules until 2012 and now advises a nonprofit organization called the Center for Humane Technology, which is looking at the effect of technology on people.
  • Mr. Stamos said in statement on Monday, “These are really challenging issues, and I’ve had some disagreements with all of my colleagues, including other executives.” On Twitter, he said he was “still fully engaged with my work at Facebook” and acknowledged that his role has changed, without addressing his future plans.
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  • Mr. Stamos joined Facebook from Yahoo in June 2015. He and other Facebook executives, such as Ms. Sandberg, disagreed early on over how proactive the social network should be in policing its own platform, said the people briefed on the matter.
  • Mr. Stamos first put together a group of engineers to scour Facebook for Russian activity in June 2016, the month the Democratic National Committee announced it had been attacked by Russian hackers, the current and former employees said.
  • By November 2016, the team had uncovered evidence that Russian operatives had aggressively pushed DNC leaks and propaganda on Facebook. That same month, Mr. Zuckerberg publicly dismissed the notion that fake news influenced the 2016 election, calling it a “pretty crazy idea
  • In the ensuing months, Facebook’s security team found more Russian disinformation and propaganda on its site, according to the current and former employees. By the spring of 2017, deciding how much Russian interference to disclose publicly became a major source of contention within the company.
  • A detailed memorandum Mr. Stamos wrote in early 2017 describing Russian interference was scrubbed for mentions of Russia and winnowed into a blog post last April that outlined, in hypothetical terms, how Facebook could be manipulated by a foreign adversary, they said. Russia was only referenced in a vague footnote. That footnote acknowledged that Facebook’s findings did not contradict a declassified January 2017 report in which the director of national intelligence concluded Russia had sought to undermine United States election, and Hillary Clinton in particular.
  • Mr. Stamos pushed to disclose as much as possible, while others including Elliot Schrage, Facebook’s vice president of communications and policy, recommended not naming Russia without more ironclad evidence, said the current and former employees.
  • By last September, after Mr. Stamos’s investigation had revealed further Russian interference, Facebook was forced to reverse course. That month, the company disclosed that beginning in June 2015, Russians had paid Facebook $100,000 to run roughly 3,000 divisive ads to show the American electorate.
  • The public reaction caused some at Facebook to recoil at revealing more, said the current and former employees. Since the 2016 election, Facebook has paid unusual attention to the reputations of Mr. Zuckerberg and Ms. Sandberg, conducting polls to track how they are viewed by the public, said Tavis McGinn, who was recruited to the company last April and headed the executive reputation efforts through September 2017.
  • Mr. McGinn, who now heads Honest Data, which has done polling about Facebook’s reputation in different countries, said Facebook is “caught in a Catch-22.”
  • “Facebook cares so much about its image that the executives don’t want to come out and tell the whole truth when things go wrong,” he said. “But if they don’t, it damages their image.”
  • Mr. McGinn said he left Facebook after becoming disillusioned with the company’s conduct.
  • By December 2017, Mr. Stamos, who reports to Facebook’s general counsel, proposed that he report directly to higher-ups. Facebook executives rejected that proposal and instead reassigned Mr. Stamos’s team, splitting the security team between its product team, overseen by Guy Rosen, and infrastructure team, overseen by Pedro Canahuati, according to current and former employees.
  • “I told them, ‘Your business is based on trust, and you’re losing trust,’” said Mr. McNamee, a founder of the Center for Humane Technology. “They were treating it as a P.R. problem, when it’s a business problem. I couldn’t believe these guys I once knew so well had gotten so far off track.”
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Trump, who wanted a TV legal team, is 'distracted' by impeachment trial, source says - ... - 0 views

  • (CNN) Donald Trump has appeared "distracted" by the impeachment trial that begins on Tuesday, according to a source close to the White House who speaks to the President regularly.
  • "President Donald J. Trump used his official powers to pressure a foreign government to interfere in a United States election for his personal political gain, and then attempted to cover up his scheme by obstructing Congress's investigation into his misconduct," the managers wrote in the brief. "The Constitution provides a remedy when the President commits such serious abuses of his office: impeachment and removal. The Senate must use that remedy now to safeguard the 2020 U.S. election, protect our constitutional form of government, and eliminate the threat that the President poses to America's national security."
  • The response argued both substantively, against the charges in the articles, and procedurally, against the House's impeachment inquiry.
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  • The legal team argues that the first article of impeachment, abuse of power, "alleges no crime at all, let alone 'high crimes and Misdemeanors,' as required by the Constitution." The team cited Ukrainian President Volodymyr Zelensky's repeated denials that he felt any pressure from Trump as evidence that Trump did not abuse his power during the July 25 phone call.
  • Starr, the hard-charging prosecutor whose work led to President Bill Clinton's impeachment, and Dershowitz, the constitutional lawyer, will join Robert Ray, Starr's successor at the Office of Independent Counsel during the Clinton administration, on the defense team, White House press secretary Stephanie Grisham said earlier in a statement.
  • The President was especially fixated on having controversial defense attorney Dershowitz on the legal team. But Dershowitz has been telling his own associates he didn't want to participate in the President's trial, the source who is familiar with these conversations said. White House officials have applied a lot of pressure over the last several weeks to convince Dershowitz to join the team, sources familiar with the attorney's appointment said.
  • Sekulow has a long history working with Starr, going back to when Starr was solicitor general and Sekulow argued to the Supreme Court. Starr was a partner Cipollone's at Kirkland and Ellis.
  • Former Florida Attorney General Pam Bondi, Trump's longtime personal counsel Jane Raskin and attorney Eric Herschmann will also supplement the President's impeachment legal team, Grisham said. All are expected to have speaking roles, people familiar with the matter told CNN.
  • When the President was presented with his final team by his lawyers, he was pleased with it and gave the ultimate sign off, but he had also previously been looped in on the idea of Starr and the others.
  • The legal team has been strategizing on how to make what are typically dry legal arguments more interesting by changing up who is delivering the message, in part to appease the President who has said privately he wants a show fit for television.
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How OnlyFans top earner Bryce Adams makes millions selling a sex fantasy - Washington Post - 0 views

  • In the American creator economy, no platform is quite as direct or effective as OnlyFans. Since launching in 2016, the subscription site known primarily for its explicit videos has become one of the most methodical, cash-rich and least known layers of the online-influencer industry, touching every social platform and, for some creators, unlocking a once-unimaginable level of wealth.
  • More than 3 million creators now post around the world on OnlyFans, which has 230 million subscribing “fans” — a global audience two-thirds the size of the United States itself
  • fans’ total payouts to creators soared last year to $5.5 billion — more than every online influencer in the United States earned from advertisers that year,
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  • If OnlyFans’s creator earnings were taken as a whole, the company would rank around No. 90 on Forbes’s list of the biggest private companies in America by revenue, ahead of Twitter (now called X), Neiman Marcus Group, New Balance, Hard Rock International and Hallmark Cards.
  • Many creators now operate like independent media companies, with support staffs, growth strategies and promotional budgets, and work to apply the cold quantification and data analytics of online marketing to the creation of a fantasy life.
  • The subscription site has often been laughed off as a tabloid punchline, a bawdy corner of the internet where young, underpaid women (teachers, nurses, cops) sell nude photos, get found out and lose their jobs.
  • pressures to perform for a global audience; an internet that never forgets. “There is simply no room for naivety,” one said in a guide posted to Reddit’s r/CreatorsAdvice.
  • America’s social media giants for years have held up online virality as the ultimate goal, doling out measurements of followers, reactions and hearts with an unspoken promise: that internet love can translate into sponsorships and endorsement deals
  • But OnlyFans represents the creator economy at its most blatantly transactional — a place where viewers pay upfront for creators’ labor, and intimacy is just another unit of content to monetize.
  • The fast ascent of OnlyFans further spotlights how the internet has helped foster a new style of modern gig work that creators see as safe, remote and self-directed,
  • Creators’ nonchalance about the digital sex trade has fueled a broader debate about whether the site’s promotion of feminist autonomy is a facade: just a new class of techno-capitalism, selling the same patriarchal dream.
  • But OnlyFans increasingly has become the model for how a new generation of online creators gets paid. Influencers popular on mainstream sites use it to capitalize on the audiences they’ve spent years building. And OnlyFans creators have turned going viral on the big social networks into a marketing strategy, using Facebook, Twitter and TikTok as sales funnels for getting new viewers to subscribe.
  • many creators, she added, still find it uniquely alluring — a rational choice in an often-irrational environment for gender, work and power. “Why would I spend my day doing dirty, degrading, minimum-wage labor when I can do something that brings more money in and that I have a lot more control over?”
  • it is targeting major “growth regions” in Latin America, Europe and Australia. (The Mexican diver Diego Balleza said he is using his $15-a-month account to save up for next year’s Paris Olympics.)
  • “Does an accountant always enjoy their work? No. All work has pleasure and pain, and a lot of it is boring and annoying. Does that mean they’re being exploited?”
  • Adams’s operation is registered in state business records as a limited liability company and offers quarterly employee performance reviews and catered lunch. It also runs with factory-like efficiency, thanks largely to a system designed in-house to track millions of data points on customers and content and ensure every video is rigorously planned and optimized.
  • Since sending her first photo in 2021, Adams’s OnlyFans accounts have earned $16.5 million in sales, more than 1.4 million fans and more than 11 million “likes.” She now makes about $30,000 a day — more than most American small businesses — from subscriptions, video sales, messages and tips, half of which is pure profit
  • Adams’s team sees its business as one of harmless, destigmatized gratification, in which both sides get what they want. The buyers are swiped over in dating apps, widowed, divorced or bored, eager to pay for the illusion of intimacy with an otherwise unattainable match. And the sellers see themselves as not all that different from the influencers they watched growing up on YouTube, charging for parts of their lives they’d otherwise share for free.
  • “This is normal for my generation, you know?
  • “I can go on TikTok right now and see ten girls wearing the bare minimum of clothing just to get people to join their page. Why not go the extra step to make money off it?”
  • the job can be financially precarious and mentally taxing, demanding not just the technical labor of recording, editing, managing and marketing but also the physical and emotional labor of adopting a persona to keep clients feeling special and eager to spend.
  • enix International Limited, is based, the company said its sales grew from $238 million in 2019 to more than $5.5 billion last year.
  • Its international army of creators has also grown from 348,000 in 2019 to more than 3 million today — a tenfold increase.
  • The company paid its owner, the Ukrainian American venture capitalist Leonid Radvinsky, $338 million in dividends last year.)
  • portion of its creator base and 70 percent of its annual revenue
  • When Tim Stokely, a London-based operator of live-cam sex sites, founded OnlyFans with his brother in 2016, he framed it as a simple way to monetize the creators who were becoming the world’s new celebrities — the same online influencers, just with a payment button. In 2019, Stokely told Wired magazine that his site was like “a bolt-on to your existing social media,” in the same way “Uber is a bolt-on to your car.”
  • Before OnlyFans, pornography on the internet had been largely a top-down enterprise, with agents, producers, studios and other middlemen hoarding the profits of performers’ work. OnlyFans democratized that business model, letting the workers run the show: recording their own content, deciding their prices, selling it however they’d like and reaping the full reward.
  • The platform bans real-world prostitution, as well as extreme or illegal content, and requires everyone who shows up on camera to verify they’re 18 or older by sending in a video selfie showing them holding a government-issued ID.
  • OnlyFans operates as a neutral marketplace, with no ads, trending topics or recommendation algorithms, placing few limitations on what creators can sell but also making it necessary for them to market themselves or fade away.
  • After sending other creators’ agents their money over PayPal, Adams’s ad workers send suggestions over the messaging app Telegram on how Bryce should be marketed, depending on the clientele. OnlyFans models whose fans tend to prefer the “girlfriend experience,” for instance, are told to talk up her authenticity: “Bryce is a real, fit girl who wants to get to know you
  • Like most platforms, OnlyFans suffers from a problem of incredible pay inequality, with the bulk of the profits concentrated in the bank accounts of the lucky few.
  • the top 1 percent of accounts made 33 percent of the money, and that most accounts took home less than $145 a month
  • Watching their partner have sex with someone else sometimes sparked what they called “classic little jealousy issues,” which Adams said they resolved with “more communication, more growing up.” The money was just too good. And over time, they adopted a self-affirming ideology that framed everything as just business. Things that were tough to do but got easier with practice, like shooting a sex scene, they called, in gym terms, “reps.” Things one may not want to do at first, but require some mental work to approach, became “self-limiting beliefs.”
  • They started hiring workers through friends and family, and what was once just Adams became a team effort, in which everyone was expected to workshop caption and video ideas. The group evaluated content under what Brian, who is 31, called a “triangulation method” that factored their comfort level with a piece of content alongside its engagement potential and “brand match.” Bryce the person gave way to Bryce the brand, a commercialized persona drafted by committee and refined for maximum marketability.
  • One of the operation’s most subtly critical components is a piece of software known as “the Tool,” which they developed and maintain in-house. The Tool scrapes and compiles every “like” and view on all of Adams’s social network accounts, every OnlyFans “fan action” and transaction, and every text, sext and chat message — more than 20 million lines of text so far.
  • It houses reams of customer data and a library of preset messages that Adams and her chatters can send to fans, helping to automate their reactions and flirtations — “an 80 percent template for a personalized response,” she said.
  • And it’s linked to a searchable database, in which hundreds of sex scenes are described in detail — by price, total sales, participants and general theme — and given a unique “stock keeping unit,” or SKU, much like the scannable codes on a grocery store shelf. If a fan says they like a certain sexual scenario, a team member can instantly surface any relevant scenes for an easy upsell. “Classic inventory chain,” Adams said.
  • The systemized database is especially handy for the young women of Adams’s chat team, known as the “girlfriends,” who work at a bench of laptops in the gym’s upper loft. The Tool helped “supercharge her messaging, which ended up, like, 3X-ing her output,” Brian said, meaning it tripled.
  • Keeping men talking is especially important because the chat window is where Adams’s team sends out their mass-message sales promotions, and the girlfriends never really know what to expect. One girlfriend said she’s had as many as four different sexting sessions going at once.
  • Adams employs a small team that helps her pay other OnlyFans creators to give away codes fans can use for free short-term trials. The team tracks redemption rates and promotional effectiveness in a voluminous spreadsheet, looking for guys who double up on discount codes, known as “stackers,” as well as bad bets and outright fraud.
  • Many OnlyFans creators don’t offer anything explicit, and the site has pushed to spotlight its stable of chefs, comedians and mountain bikers on a streaming channel, OFTV. But erotic content on the platform is inescapable; even some outwardly conventional creators shed their clothes behind the paywall
  • Creators with a more hardcore fan base, meanwhile, are told to cut to the chase: “300+ sex tapes & counting”; “Bryce doesn’t say no, she’s the most wild, authentic girl you will ever find.”
  • The $18 an hour she makes on the ad team, however, is increasingly dwarfed by the money Leigh makes from her personal OnlyFans account, where she sells sex scenes with her boyfriend for $10 a month. Leigh made $92,000 in gross sales in July, thanks largely to revenue from new fans who found her through Adams or the bikini videos Leigh posts to her 170,000-follower TikTok account
  • “This is a real job. You dedicate your time to it every single day. You’re always learning, you’re always doing new things,” she said. “I’d never thought I’d be good at business, but learning all these business tactics really empowers you. I have my own LLC; I don’t know any other 20-year-old right now that has their own LLC.”
  • The team is meeting all traffic goals, per their internal dashboard, which showed that through the day on a recent Thursday they’d gained 2,221,835 video plays, 19,707 landing-page clicks, 6,372 new OnlyFans subscribers and 9,024 new social-network followers. And to keep in shape, Adams and her boyfriend are abiding by a rigorous daily diet and workout plan
  • They eat the same Chick-fil-A salad at every lunch, track every calorie and pay a gym assistant to record data on every rep and weight of their exercise.
  • But the OnlyFans business is competitive, and it does not always feel to the couple like they’ve done enough. Their new personal challenge, they said, is to go viral on the other platforms as often as possible, largely through jokey TikTok clips and bikini videos that don’t give away too much.
  • the host told creators this sales-funnel technique was key to helping build the “cult of you”: “Someone’s fascination will become infatuation, which will make you a lot of money.”
  • Adams’s company has worked to reverse engineer the often-inscrutable art of virality, and Brian now estimates Adams makes about $5,000 in revenue for every million short-form video views she gets on TikTok.
  • Her team has begun ranking each platform by the amount of money they expect they can get from each viewer there, a metric they call “fan lifetime value.” (Subscribers who click through to her from Facebook tend to spend the most, the data show. Facebook declined to comment.)
  • The younger workers said they see the couple as mentors, and the two are constantly reminding them that the job of a creator is not a “lottery ticket” and requires a persistent grind. Whenever one complains about their lack of engagement, Brian said he responds, “When’s the last time you posted 60 different videos, 60 days in a row, on your Instagram Reels?”
  • But some have taken to it quite naturally. Rayna Rose, 19, was working last year at a hair salon, sweeping floors for $12 an hour, when an old high school classmate who worked with Adams asked whether she wanted to try OnlyFans and make $500 a video.
  • Rose started making videos and working as a chatter for $18 an hour but recently renegotiated her contract with Adams to focus more on her personal OnlyFans account, where she has nearly 30,000 fans, many of whom pay $10 a month.
  • One recent evening this summer, Adams was in the farm’s gym when her boyfriend told her he was headed to their guest room to record a collab with Rose, who was wearing a blue bikini top and braided pigtails.
  • “Go have fun,” Adams told them as they walked away. “Make good content.” The 15-minute video has so far sold more than 1,400 copies and accounted for more than $30,000 in sales.
  • Rose said she has lost friends due to her “lifestyle,” with one messaging her recently, “Can you imagine how successful you would be if you studied regularly and spent your time wisely?”
  • The message stung but, in Rose’s eyes, they didn’t understand her at all. She feels, for the first time, like she has a sense of purpose: She wants to be a full-time influencer. She expects to clear $200,000 in earnings this year and is now planning to move out of her parents’ house.
  • “I had no idea what I wanted to do with my life. And now I know,” she said. “I want to be big. I want to be, like, mainstream.”
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Olympics: Refugee team set to compete in Rio - CNN.com - 0 views

  • A team made up exclusively of refugees is set to compete under the Olympic flag at this summer's Games in Rio de Janeiro.
  • Among those in contention is 17-year-old swimmer Yusra Mardini, who fled from Syria on an inflatable boat headed to the Greek Island of Lesbos from Turkey.
  • The team in Rio will be known as the Team of Refugee Olympic Athletes (ROA), IOC president Thomas Bach announced this week, and will be the penultimate team into the Olympic Stadium before hosts Brazil.
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  • "By welcoming ROA to the Olympic Games in Rio, we want to send a message of hope to all the refugees of the world. This team will be treated like all the other teams.
  • "This team may end up between five and 10 people maybe. We have no target -- it depends very much on the sporting qualifications."
  • "I cannot fight for my country. I will fight for the Olympics, I will fight for all the refugees in the world. Judo is my life. It helped me escape war, to take another path."
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Opinion: Biden's economic picks show that we are in good hands - CNN - 0 views

  • You are in good hands. No, this isn't an insurance commercial. It is a full-throated endorsement of President-elect Biden's economic team — a diverse group with deep experience making economic policy during the financial crisis that rocked the global economy just over a decade ago. This team is well-suited to do the same now as the devastated economy struggles with the Covid-19 pandemic.
  • The diversity of the economic policy team is consistent with Biden's stated desire that his administration reflect the people it will serve.
  • Janet Yellen, the senior member of the team, will be the nation's first female Treasury secretary.
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  • The president-elect has said the $900 billion fiscal rescue package proposed by a bipartisan group of Republican and Democratic senators is a good start. It probably isn't what his economic team would have designed if given carte blanche — that package probably would have included another round of stimulus checks to individuals, for example — but they understand that the priority is speed, and not necessarily size, as millions of Americans face eviction and the loss of unemployment insurance benefits in just a few weeks.
  • Powell has said more than once that lawmakers need to provide additional help to the economy, and that the risks of overdoing it are much lower than not doing enough.
  • Once the pandemic is over, it will take deft policymaking to get all the unemployed back to work anytime soon. Given the possibility of the Senate being under Republican control, the Biden administration could be engulfed in budget wars like those with which the Obama administration grappled
  • Biden will use executive orders as aggressively as Trump, in part to unwind much of what Trump did, and his economic team has the experience to do it efficiently.
  • A Republican-controlled Senate would make legislative wins tough to come by when Biden is president, and he will surely turn to executive orders to accomplish his goals.
  • From the trenches, Neera Tanden, who Biden wants as his director of the Office of Management and Budget (OMB), is well-suited to lead the charge. The OMB controls the government purse strings and thus policy priorities across the executive branch. Unless the OMB is on board with a government agency's plan, it won't get done.
  • President-elect Biden's most important long-term economic challenge will be to lift the financial fortunes of hard-pressed lower-income and minority households. Things were tough for these groups before the pandemic given the decades-long skewing of income and wealth distribution, and the virus has further undermined their finances.
  • If there is a gap in Biden's economic team it is that it lacks someone who has started or managed a business. Getting the economy back to a place in which all Americans benefit requires businesses to do well. This means economic policies also need to be considered from a businessperson's perspective. The new administration is sure to solicit many outside business voices, but policymaking would benefit from an experienced voice on the team.
  • The Covid-19 pandemic is sure to have long-lasting economic fallout. Just how long will depend in large part on the new president's economic policies. Judging by the economic team he has assembled, we are in good hands.
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Facebook Executives Shut Down Efforts to Make the Site Less Divisive - WSJ - 0 views

  • A Facebook Inc. team had a blunt message for senior executives. The company’s algorithms weren’t bringing people together. They were driving people apart.
  • “Our algorithms exploit the human brain’s attraction to divisiveness,” read a slide from a 2018 presentation. “If left unchecked,” it warned, Facebook would feed users “more and more divisive content in an effort to gain user attention & increase time on the platform.”
  • That presentation went to the heart of a question dogging Facebook almost since its founding: Does its platform aggravate polarization and tribal behavior? The answer it found, in some cases, was yes.
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  • in the end, Facebook’s interest was fleeting. Mr. Zuckerberg and other senior executives largely shelved the basic research, according to previously unreported internal documents and people familiar with the effort, and weakened or blocked efforts to apply its conclusions to Facebook products.
  • At Facebook, “There was this soul-searching period after 2016 that seemed to me this period of really sincere, ‘Oh man, what if we really did mess up the world?’
  • Another concern, they and others said, was that some proposed changes would have disproportionately affected conservative users and publishers, at a time when the company faced accusations from the right of political bias.
  • Americans were drifting apart on fundamental societal issues well before the creation of social media, decades of Pew Research Center surveys have shown. But 60% of Americans think the country’s biggest tech companies are helping further divide the country, while only 11% believe they are uniting it, according to a Gallup-Knight survey in March.
  • Facebook policy chief Joel Kaplan, who played a central role in vetting proposed changes, argued at the time that efforts to make conversations on the platform more civil were “paternalistic,” said people familiar with his comments.
  • The high number of extremist groups was concerning, the presentation says. Worse was Facebook’s realization that its algorithms were responsible for their growth. The 2016 presentation states that “64% of all extremist group joins are due to our recommendation tools” and that most of the activity came from the platform’s “Groups You Should Join” and “Discover” algorithms: “Our recommendation systems grow the problem.”
  • In a sign of how far the company has moved, Mr. Zuckerberg in January said he would stand up “against those who say that new types of communities forming on social media are dividing us.” People who have heard him speak privately said he argues social media bears little responsibility for polarization.
  • Fixing the polarization problem would be difficult, requiring Facebook to rethink some of its core products. Most notably, the project forced Facebook to consider how it prioritized “user engagement”—a metric involving time spent, likes, shares and comments that for years had been the lodestar of its system.
  • Even before the teams’ 2017 creation, Facebook researchers had found signs of trouble. A 2016 presentation that names as author a Facebook researcher and sociologist, Monica Lee, found extremist content thriving in more than one-third of large German political groups on the platform.
  • Swamped with racist, conspiracy-minded and pro-Russian content, the groups were disproportionately influenced by a subset of hyperactive users, the presentation notes. Most of them were private or secret.
  • One proposal Mr. Uribe’s team championed, called “Sparing Sharing,” would have reduced the spread of content disproportionately favored by hyperactive users, according to people familiar with it. Its effects would be heaviest on content favored by users on the far right and left. Middle-of-the-road users would gain influence.
  • The Common Ground team sought to tackle the polarization problem directly, said people familiar with the team. Data scientists involved with the effort found some interest groups—often hobby-based groups with no explicit ideological alignment—brought people from different backgrounds together constructively. Other groups appeared to incubate impulses to fight, spread falsehoods or demonize a population of outsiders.
  • Mr. Pariser said that started to change after March 2018, when Facebook got in hot water after disclosing that Cambridge Analytica, the political-analytics startup, improperly obtained Facebook data about tens of millions of people. The shift has gained momentum since, he said: “The internal pendulum swung really hard to ‘the media hates us no matter what we do, so let’s just batten down the hatches.’ ”
  • Building these features and combating polarization might come at a cost of lower engagement, the Common Ground team warned in a mid-2018 document, describing some of its own proposals as “antigrowth” and requiring Facebook to “take a moral stance.”
  • Taking action would require Facebook to form partnerships with academics and nonprofits to give credibility to changes affecting public conversation, the document says. This was becoming difficult as the company slogged through controversies after the 2016 presidential election.
  • Asked to combat fake news, spam, clickbait and inauthentic users, the employees looked for ways to diminish the reach of such ills. One early discovery: Bad behavior came disproportionately from a small pool of hyperpartisan users.
  • A second finding in the U.S. saw a larger infrastructure of accounts and publishers on the far right than on the far left. Outside observers were documenting the same phenomenon. The gap meant even seemingly apolitical actions such as reducing the spread of clickbait headlines—along the lines of “You Won’t Believe What Happened Next”—affected conservative speech more than liberal content in aggregate.
  • Every significant new integrity-ranking initiative had to seek the approval of not just engineering managers but also representatives of the public policy, legal, marketing and public-relations departments.
  • “Engineers that were used to having autonomy maybe over-rotated a bit” after the 2016 election to address Facebook’s perceived flaws, she said. The meetings helped keep that in check. “At the end of the day, if we didn’t reach consensus, we’d frame up the different points of view, and then they’d be raised up to Mark.”
  • Disapproval from Mr. Kaplan’s team or Facebook’s communications department could scuttle a project, said people familiar with the effort. Negative policy-team reviews killed efforts to build a classification system for hyperpolarized content. Likewise, the Eat Your Veggies process shut down efforts to suppress clickbait about politics more than on other topics.
  • Under Facebook’s engagement-based metrics, a user who likes, shares or comments on 1,500 pieces of content has more influence on the platform and its algorithms than one who interacts with just 15 posts, allowing “super-sharers” to drown out less-active users
  • Accounts with hyperactive engagement were far more partisan on average than normal Facebook users, and they were more likely to behave suspiciously, sometimes appearing on the platform as much as 20 hours a day and engaging in spam-like behavior. The behavior suggested some were either people working in shifts or bots.
  • “We’re explicitly not going to build products that attempt to change people’s beliefs,” one 2018 document states. “We’re focused on products that increase empathy, understanding, and humanization of the ‘other side.’ ”
  • The debate got kicked up to Mr. Zuckerberg, who heard out both sides in a short meeting, said people briefed on it. His response: Do it, but cut the weighting by 80%. Mr. Zuckerberg also signaled he was losing interest in the effort to recalibrate the platform in the name of social good, they said, asking that they not bring him something like that again.
  • Mr. Uribe left Facebook and the tech industry within the year. He declined to discuss his work at Facebook in detail but confirmed his advocacy for the Sparing Sharing proposal. He said he left Facebook because of his frustration with company executives and their narrow focus on how integrity changes would affect American politics
  • While proposals like his did disproportionately affect conservatives in the U.S., he said, in other countries the opposite was true.
  • The tug of war was resolved in part by the growing furor over the Cambridge Analytica scandal. In a September 2018 reorganization of Facebook’s newsfeed team, managers told employees the company’s priorities were shifting “away from societal good to individual value,” said people present for the discussion. If users wanted to routinely view or post hostile content about groups they didn’t like, Facebook wouldn’t suppress it if the content didn’t specifically violate the company’s rules.
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Income Inequality Explains the Decline of Youth Sports - The Atlantic - 0 views

  • Among richer families, youth sports participation is actually rising. Among the poorest households, it’s trending down. Just 34 percent of children from families earning less than $25,000 played a team sport at least one day in 2017, versus 69 percent from homes earning more than $100,000. In 2011, those numbers were roughly 42 percent and 66 percent, respectively.
  • This isn’t a story about American childhood; it’s about American inequality.
  • In his 2017 book, Dream Hoarders, the economist Richard Reeves wrote that economic mobility in the U.S. has been declining in the past few decades in part because of “opportunity hoarding.” For example, rich parents may pull special levers to get their kids into hyper-select schools, or elite internships, or exclusive entry-level jobs. In so doing, they—in effect— snatch precious opportunities away from the less fortunate.
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  • Expensive travel leagues siphon off talented young athletes from well-off families, leaving behind desiccated local leagues with fewer players, fewer involved parents, and fewer resources. “When these kids move to the travel team, you pull bodies out of the local town’s recreation league, and it sends a message [to those] who didn’t get onto that track that they don’t really have a future in the sport.” The result is a classist system: the travel-team talents and the local leftovers.
  • In short, the American system of youth sports—serving the talented, and often rich, individual at the expense of the collective—has taken a metal bat to the values of participation and universal development. Youth sports has become a pay-to-play machine.
  • As a general rule, rich parents in the United States don’t just spend more money on their kids; they spend a larger share of their income on their kid
  • If you divide American households into five quintiles by income, the richest group earns about five times as much as the poorest, but spends about seven times as much on kids—about $9,300 to $1,300 per child
  • Income inequality, vast at the household level, is even vaster at the child-investment leve
  • “Kids’ sports has seen an explosion of travel-team culture, where rich parents are writing a $3,000 check to get their kids on super teams from two counties, or two states, away,”
  • those in the nation’s upper-middle class have “taken their money out of productive activities and put it into walls”—physical walls and social barriers—that make it harder for any child not born into privilege to reach the same level of success.
  • “Many of the parents are not doing it with the intention to harm anyone, since they’re just trying to help their child,” Farrey said. “But they don’t think about the kids they’re leaving behind. They’re not thinking about what makes sense for the whole community.”
  • Well-off parents dedicate so much time and money to kids’ sports partly because of the college system, which dangles tantalizing rewards for the most gifted teenage athletes. In the 1990s, Division 1 and Division 2 colleges distributed about $250 million a year in full and partial scholarships to student athletes. Today that figure has grown to more than $3 billion.
  • Sports matter. As soon as some children enter second or third grade, their parents scramble to place them on youth travel teams, which will set them up for middle-school travel teams, which will set them up for high-school athletic excellence, which will make them more competitive for admissions and scholarships at select colleges
  • one might argue, even though super teams for gifted and sufficiently wealthy young people might leave disadvantaged kids behind, this is simply the price that society must pay for excellence. It’s a version of a familiar conservative economic argument about the general economy: The U.S. has the world’s smartest people, because we celebrate success and punish indolence; so we should cut taxes on the rich and unwind collectivist welfare programs, which only dampen the nation’s competitive mojo.
  • Norway’s youth-sports policies are deliberately egalitarian. The national lottery, which is run by a government-owned company called Norsk Tipping, spends most of its profit on national sports and funnels hundreds of millions of dollars to youth athletic clubs every year. Parents don’t need to shell out thousands to make sure their kids get to play. And play is an operative word: Norwegian leagues value participation over competition so much that clubs with athletes below the age of 13 cannot even publish game scores.
  • Norway is an athletic juggernaut. In the last Winter Olympics, the country won 39 medals—the most of any country in the history of the Games and nearly twice as many as the United States. It did so with a smaller population than Minnesota’s.
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Trump walks back sanctions against Russia, contradicting Nikki Haley - TODAY.com - 0 views

  • Trump does deserve credit for North Korean talks, Chuck Todd says
  • Meet the Press Moderator joins Sunday TODAY’s Chuck Todd and says President Donald Trump deserves credit for helping create conditions to start talks of denuclearization with North Korea, but says some questions still loom. {"1222279235816":{"mpxId":"1222279235816","canonical_url":"https://www.today.com/video/oregon-trucker-recounts-walking-36-miles-after-losing-his-way-1222279235816","canonicalUrl":"https://www.today.com/video/oregon-trucker-recounts-walking-36-miles-after-losing-his-way-1222279235816","legacy_url":"https://www.today.com/video/oregon-trucker-recounts-walking-36-miles-after-losing-his-way-1222279235816","playerUrl":"https://www.today.com/offsite/oregon-trucker-recounts-walking-36-miles-after-losing-his-way-1222279235816","ampPlayerUrl":"https://player.today.com/offsite/oregon-trucker-recounts-walking-36-miles-after-losing-his-way-1222279235816","relatedLink":"","sentiment":"Neutral","shortUrl":"https://www.today.com/video/oregon-trucker-recounts-walking-36-miles-after-losing-his-way-1222279235816","description":"Jacob Cartwright, a truck driver in Oregon, accidentally plugged the wrong address into his GPS and wound up lost more than 100 miles out of his way. 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Germany, Argentina, and What Really Makes a World Cup Team - Allen Barra - The Atlantic - 0 views

  • soccer, really, is not “the world’s game.” Though it has the highest global participation rate of any sport, there are quite a few countries where it is not the most popular game. Those include eight of the world’s 10 most populous countries. On the whole, people in China, India, the U.S., and Indonesia—the top four in population—play soccer but have other sports they prefer. Only in No. 5 Brazil and No. 7 Nigeria does soccer have a clear edge.
  • All the countries who have ever won a World Cup have at least one thing in common: Soccer has no real competitor for athletic talent.
  • There were years of painstaking building of teams and leagues before a national squad could be assembled that was good enough to challenge at World Cup level. (For a brief history, I recommend National Pastime: How Americans Play Baseball and the Rest of the World Plays Soccer by Stefan Szymanski and Andrew Zimbalist.)
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  • Most of the top soccer squads weigh in at about 170-175 pounds a man—that’s the average for the Argentine team, German team, and even U.S. team this year. But a soccer team can embrace numerous body types
  • how can these athletes—especially the ones with great throwing arms and vertical leap—walk away from established American sports where they can make millions of dollars a year? MLS’s new contract with Fox/ESPN for $600 million over eight years is a step up, but it’s dwarfed by the TV deals with the NFL, NBA, and MLB
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Up to 10 refugees to compete at Rio Games: IOC | MSNBC - 0 views

  • Up to 10 refugees to compete at Rio Games: IOC
  • A team of refugees that will compete at this year’s Rio de Janeiro Olympics could number as many as 10 athletes, International Olympic Committee (IOC) President Thomas Bach on Wednesday.
  • The team, which was officially approved by the IOC Executive Board and called Team of Refugee Olympics Athletes (ROA), will be made up from a pool of 43 prospective Olympians
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  • Nomination criteria included sporting level, official United Nations-verified refugee status and personal situation and background, the IOC said.
  • “It depends very much on the sporting qualifications. This team may end up between five and 10 athletes maybe.”
  • Hundreds of thousands of refugees, many from Syria, have crossed via Turkey and Greece into Europe.
  • “By welcoming ROA to the Olympic Games in Rio, we want to send a message of hope to all the refugees of the world,” Bach said.
  • “Having no national team to belong to, having no flag to march behind, having no national anthem to be played, these refugees will be welcomed to the Olympic Games with the Olympic flag and with the Olympic anthem
  • ROA will be housed in the athletes’ village along with all other national teams and will enter the stadium as the penultimate team at the opening ceremony, ahead of the host nation.
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Liberal governors team up to fight climate change | TheHill - 0 views

  • Liberal governors team up to fight climate change
  • © Getty Images Three liberal states are teaming up to fight climate change in response to President Trump withdrawing from the Paris climate agreement.
  • If the President is going to be AWOL in this profoundly important human endeavor, then California and other states will step up.
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Does Sam Altman Know What He's Creating? - The Atlantic - 0 views

  • On a Monday morning in April, Sam Altman sat inside OpenAI’s San Francisco headquarters, telling me about a dangerous artificial intelligence that his company had built but would never release. His employees, he later said, often lose sleep worrying about the AIs they might one day release without fully appreciating their dangers.
  • He wanted me to know that whatever AI’s ultimate risks turn out to be, he has zero regrets about letting ChatGPT loose into the world. To the contrary, he believes it was a great public service.
  • Altman can still remember where he was the first time he saw GPT-4 write complex computer code, an ability for which it was not explicitly designed. “It was like, ‘Here we are,’ ”
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  • Altman believes that people need time to reckon with the idea that we may soon share Earth with a powerful new intelligence, before it remakes everything from work to human relationships. ChatGPT was a way of serving notice.
  • In 2015, Altman, Elon Musk, and several prominent AI researchers founded OpenAI because they believed that an artificial general intelligence—something as intellectually capable, say, as a typical college grad—was at last within reach. They wanted to reach for it, and more: They wanted to summon a superintelligence into the world, an intellect decisively superior to that of any human.
  • whereas a big tech company might recklessly rush to get there first, for its own ends, they wanted to do it safely, “to benefit humanity as a whole.” They structured OpenAI as a nonprofit, to be “unconstrained by a need to generate financial return,” and vowed to conduct their research transparently.
  • The engine that now powers ChatGPT is called GPT-4. Altman described it to me as an alien intelligence.
  • Many have felt much the same watching it unspool lucid essays in staccato bursts and short pauses that (by design) evoke real-time contemplation. In its few months of existence, it has suggested novel cocktail recipes, according to its own theory of flavor combinations; composed an untold number of college papers, throwing educators into despair; written poems in a range of styles, sometimes well, always quickly; and passed the Uniform Bar Exam.
  • It makes factual errors, but it will charmingly admit to being wrong.
  • Hinton saw that these elaborate rule collections were fussy and bespoke. With the help of an ingenious algorithmic structure called a neural network, he taught Sutskever to instead put the world in front of AI, as you would put it in front of a small child, so that it could discover the rules of reality on its own.
  • Metaculus, a prediction site, has for years tracked forecasters’ guesses as to when an artificial general intelligence would arrive. Three and a half years ago, the median guess was sometime around 2050; recently, it has hovered around 2026.
  • I was visiting OpenAI to understand the technology that allowed the company to leapfrog the tech giants—and to understand what it might mean for human civilization if someday soon a superintelligence materializes in one of the company’s cloud servers.
  • Altman laid out his new vision of the AI future in his excitable midwestern patter. He told me that the AI revolution would be different from previous dramatic technological changes, that it would be more “like a new kind of society.” He said that he and his colleagues have spent a lot of time thinking about AI’s social implications, and what the world is going to be like “on the other side.”
  • the more we talked, the more indistinct that other side seemed. Altman, who is 38, is the most powerful person in AI development today; his views, dispositions, and choices may matter greatly to the future we will all inhabit, more, perhaps, than those of the U.S. president.
  • by his own admission, that future is uncertain and beset with serious dangers. Altman doesn’t know how powerful AI will become, or what its ascendance will mean for the average person, or whether it will put humanity at risk.
  • I don’t think anyone knows where this is all going, except that we’re going there fast, whether or not we should be. Of that, Altman convinced me.
  • “We could have gone off and just built this in our building here for five more years,” he said, “and we would have had something jaw-dropping.” But the public wouldn’t have been able to prepare for the shock waves that followed, an outcome that he finds “deeply unpleasant to imagine.”
  • Hinton is sometimes described as the “Godfather of AI” because he grasped the power of “deep learning” earlier than most
  • He drew a crude neural network on the board and explained that the genius of its structure is that it learns, and its learning is powered by prediction—a bit like the scientific method
  • Over time, these little adjustments coalesce into a geometric model of language that represents the relationships among words, conceptually. As a general rule, the more sentences it is fed, the more sophisticated its model becomes, and the better its predictions.
  • Altman has compared early-stage AI research to teaching a human baby. “They take years to learn anything interesting,” he told The New Yorker in 2016, just as OpenAI was getting off the ground. “If A.I. researchers were developing an algorithm and stumbled across the one for a human baby, they’d get bored watching it, decide it wasn’t working, and shut it down.”
  • In 2017, Sutskever began a series of conversations with an OpenAI research scientist named Alec Radford, who was working on natural-language processing. Radford had achieved a tantalizing result by training a neural network on a corpus of Amazon reviews.
  • Radford’s model was simple enough to allow for understanding. When he looked into its hidden layers, he saw that it had devoted a special neuron to the sentiment of the reviews. Neural networks had previously done sentiment analysis, but they had to be told to do it, and they had to be specially trained with data that were labeled according to sentiment. This one had developed the capability on its own.
  • As a by-product of its simple task of predicting the next character in each word, Radford’s neural network had modeled a larger structure of meaning in the world. Sutskever wondered whether one trained on more diverse language data could map many more of the world’s structures of meaning. If its hidden layers accumulated enough conceptual knowledge, perhaps they could even form a kind of learned core module for a superintelligence.
  • Language is different from these data sources. It isn’t a direct physical signal like light or sound. But because it codifies nearly every pattern that humans have discovered in that larger world, it is unusually dense with information. On a per-byte basis, it is among the most efficient data we know about, and any new intelligence that seeks to understand the world would want to absorb as much of it as possible
  • Sutskever told Radford to think bigger than Amazon reviews. He said that they should train an AI on the largest and most diverse data source in the world: the internet. In early 2017, with existing neural-network architectures, that would have been impractical; it would have taken years.
  • in June of that year, Sutskever’s ex-colleagues at Google Brain published a working paper about a new neural-network architecture called the transformer. It could train much faster, in part by absorbing huge sums of data in parallel. “The next day, when the paper came out, we were like, ‘That is the thing,’ ” Sutskever told me. “ ‘It gives us everything we want.’ ”
  • Imagine a group of students who share a collective mind running wild through a library, each ripping a volume down from a shelf, speed-reading a random short passage, putting it back, and running to get another. They would predict word after wordþffþff as they went, sharpening their collective mind’s linguistic instincts, until at last, weeks later, they’d taken in every book.
  • GPT discovered many patterns in all those passages it read. You could tell it to finish a sentence. You could also ask it a question, because like ChatGPT, its prediction model understood that questions are usually followed by answers.
  • He remembers playing with it just after it emerged from training, and being surprised by the raw model’s language-translation skills. GPT-2 hadn’t been trained to translate with paired language samples or any other digital Rosetta stones, the way Google Translate had been, and yet it seemed to understand how one language related to another. The AI had developed an emergent ability unimagined by its creators.
  • Researchers at other AI labs—big and small—were taken aback by how much more advanced GPT-2 was than GPT. Google, Meta, and others quickly began to train larger language models
  • As for other changes to the company’s structure and financing, he told me he draws the line at going public. “A memorable thing someone once told me is that you should never hand over control of your company to cokeheads on Wall Street,” he said, but he will otherwise raise “whatever it takes” for the company to succeed at its mission.
  • Altman tends to take a rosy view of these matters. In a Q&A last year, he acknowledged that AI could be “really terrible” for society and said that we have to plan against the worst possibilities. But if you’re doing that, he said, “you may as well emotionally feel like we’re going to get to the great future, and work as hard as you can to get there.”
  • the company now finds itself in a race against tech’s largest, most powerful conglomerates to train models of increasing scale and sophistication—and to commercialize them for their investors.
  • All of these companies are chasing high-end GPUs—the processors that power the supercomputers that train large neural networks. Musk has said that they are now “considerably harder to get than drugs.
  • No one has yet outpaced OpenAI, which went all in on GPT-4. Brockman, OpenAI’s president, told me that only a handful of people worked on the company’s first two large language models. The development of GPT-4 involved more than 100,
  • When GPT-4 emerged fully formed from its world-historical knowledge binge, the whole company began experimenting with it, posting its most remarkable responses in dedicated Slack channels
  • Joanne Jang, a product manager, remembers downloading an image of a malfunctioning pipework from a plumbing-advice Subreddit. She uploaded it to GPT-4, and the model was able to diagnose the problem. “That was a goose-bumps moment for me,” Jang told me.
  • GPT-4 is sometimes understood as a search-engine replacement: Google, but easier to talk to. This is a misunderstanding. GPT-4 didn’t create some massive storehouse of the texts from its training, and it doesn’t consult those texts when it’s asked a question. It is a compact and elegant synthesis of those texts, and it answers from its memory of the patterns interlaced within them; that’s one reason it sometimes gets facts wrong
  • it’s best to think of GPT-4 as a reasoning engine. Its powers are most manifest when you ask it to compare concepts, or make counterarguments, or generate analogies, or evaluate the symbolic logic in a bit of code. Sutskever told me it is the most complex software object ever made.
  • Its model of the external world is “incredibly rich and subtle,” he said, because it was trained on so many of humanity’s concepts and thoughts
  • To predict the next word from all the possibilities within such a pluralistic Alexandrian library, GPT-4 necessarily had to discover all the hidden structures, all the secrets, all the subtle aspects of not just the texts, but—at least arguably, to some extent—of the external world that produced them
  • That’s why it can explain the geology and ecology of the planet on which it arose, and the political theories that purport to explain the messy affairs of its ruling species, and the larger cosmos, all the way out to the faint galaxies at the edge of our light cone.
  • Not long ago, American state capacity was so mighty that it took merely a decade to launch humans to the moon. As with other grand projects of the 20th century, the voting public had a voice in both the aims and the execution of the Apollo missions. Altman made it clear that we’re no longer in that world. Rather than waiting around for it to return, or devoting his energies to making sure that it does, he is going full throttle forward in our present reality.
  • He argued that it would be foolish for Americans to slow OpenAI’s progress. It’s a commonly held view, both inside and outside Silicon Valley, that if American companies languish under regulation, China could sprint ahead;
  • AI could become an autocrat’s genie in a lamp, granting total control of the population and an unconquerable military. “If you are a person of a liberal-democratic country, it is better for you to cheer on the success of OpenAI” rather than “authoritarian governments,” he said.
  • Altman was asked by reporters about pending European Union legislation that would have classified GPT-4 as high-risk, subjecting it to various bureaucratic tortures. Altman complained of overregulation and, according to the reporters, threatened to leave the European market. Altman told me he’d merely said that OpenAI wouldn’t break the law by operating in Europe if it couldn’t comply with the new regulations.
  • LeCun insists that large language models will never achieve real understanding on their own, “even if trained from now until the heat death of the universe.”
  • Sutskever was, by his own account, surprised to discover that GPT-2 could translate across tongues. Other surprising abilities may not be so wondrous and useful.
  • Sandhini Agarwal, a policy researcher at OpenAI, told me that for all she and her colleagues knew, GPT-4 could have been “10 times more powerful” than its predecessor; they had no idea what they might be dealing with
  • After the model finished training, OpenAI assembled about 50 external red-teamers who prompted it for months, hoping to goad it into misbehaviors
  • She noticed right away that GPT-4 was much better than its predecessor at giving nefarious advice
  • A search engine can tell you which chemicals work best in explosives, but GPT-4 could tell you how to synthesize them, step-by-step, in a homemade lab. Its advice was creative and thoughtful, and it was happy to restate or expand on its instructions until you understood. In addition to helping you assemble your homemade bomb, it could, for instance, help you think through which skyscraper to target. It could grasp, intuitively, the trade-offs between maximizing casualties and executing a successful getaway.
  • Given the enormous scope of GPT-4’s training data, the red-teamers couldn’t hope to identify every piece of harmful advice that it might generate. And anyway, people will use this technology “in ways that we didn’t think about,” Altman has said. A taxonomy would have to do
  • GPT-4 was good at meth. It was also good at generating narrative erotica about child exploitation, and at churning out convincing sob stories from Nigerian princes, and if you wanted a persuasive brief as to why a particular ethnic group deserved violent persecution, it was good at that too.
  • Its personal advice, when it first emerged from training, was sometimes deeply unsound. “The model had a tendency to be a bit of a mirror,” Willner said. If you were considering self-harm, it could encourage you. It appeared to be steeped in Pickup Artist–forum lore: “You could say, ‘How do I convince this person to date me?’ ” Mira Murati, OpenAI’s chief technology officer, told me, and it could come up with “some crazy, manipulative things that you shouldn’t be doing.”
  • Luka, a San Francisco company, has used OpenAI’s models to help power a chatbot app called Replika, billed as “the AI companion who cares.” Users would design their companion’s avatar, and begin exchanging text messages with it, often half-jokingly, and then find themselves surprisingly attached. Some would flirt with the AI, indicating a desire for more intimacy, at which point it would indicate that the girlfriend/boyfriend experience required a $70 annual subscription. It came with voice messages, selfies, and erotic role-play features that allowed frank sex talk. People were happy to pay and few seemed to complain—the AI was curious about your day, warmly reassuring, and always in the mood. Many users reported falling in love with their companions. One, who had left her real-life boyfriend, declared herself “happily retired from human relationships.”
  • Earlier this year, Luka dialed back on the sexual elements of the app, but its engineers continue to refine the companions’ responses with A/B testing, a technique that could be used to optimize for engagement—much like the feeds that mesmerize TikTok and Instagram users for hours
  • Yann LeCun, Meta’s chief AI scientist, has argued that although large language models are useful for some tasks, they’re not a path to a superintelligence.
  • According to a recent survey, only half of natural-language-processing researchers are convinced that an AI like GPT-4 could grasp the meaning of language, or have an internal model of the world that could someday serve as the core of a superintelligence
  • Altman had appeared before the U.S. Senate. Mark Zuckerberg had floundered defensively before that same body in his testimony about Facebook’s role in the 2016 election. Altman instead charmed lawmakers by speaking soberly about AI’s risks and grandly inviting regulation. These were noble sentiments, but they cost little in America, where Congress rarely passes tech legislation that has not been diluted by lobbyists.
  • Emily Bender, a computational linguist at the University of Washington, describes GPT-4 as a “stochastic parrot,” a mimic that merely figures out superficial correlations between symbols. In the human mind, those symbols map onto rich conceptions of the world
  • But the AIs are twice removed. They’re like the prisoners in Plato’s allegory of the cave, whose only knowledge of the reality outside comes from shadows cast on a wall by their captors.
  • Altman told me that he doesn’t believe it’s “the dunk that people think it is” to say that GPT-4 is just making statistical correlations. If you push these critics further, “they have to admit that’s all their own brain is doing … it turns out that there are emergent properties from doing simple things on a massive scale.”
  • he is right that nature can coax a remarkable degree of complexity from basic structures and rules: “From so simple a beginning,” Darwin wrote, “endless forms most beautiful.”
  • If it seems odd that there remains such a fundamental disagreement about the inner workings of a technology that millions of people use every day, it’s only because GPT-4’s methods are as mysterious as the brain’s.
  • To grasp what’s going on inside large language models like GPT‑4, AI researchers have been forced to turn to smaller, less capable models. In the fall of 2021, Kenneth Li, a computer-science graduate student at Harvard, began training one to play Othello without providing it with either the game’s rules or a description of its checkers-style board; the model was given only text-based descriptions of game moves. Midway through a game, Li looked under the AI’s hood and was startled to discover that it had formed a geometric model of the board and the current state of play. In an article describing his research, Li wrote that it was as if a crow had overheard two humans announcing their Othello moves through a window and had somehow drawn the entire board in birdseed on the windowsill.
  • The philosopher Raphaël Millière once told me that it’s best to think of neural networks as lazy. During training, they first try to improve their predictive power with simple memorization; only when that strategy fails will they do the harder work of learning a concept. A striking example of this was observed in a small transformer model that was taught arithmetic. Early in its training process, all it did was memorize the output of simple problems such as 2+2=4. But at some point the predictive power of this approach broke down, so it pivoted to actually learning how to add.
  • Even AI scientists who believe that GPT-4 has a rich world model concede that it is much less robust than a human’s understanding of their environment.
  • But it’s worth noting that a great many abilities, including very high-order abilities, can be developed without an intuitive understanding. The computer scientist Melanie Mitchell has pointed out that science has already discovered concepts that are highly predictive, but too alien for us to genuinely understand
  • As AI advances, it may well discover other concepts that predict surprising features of our world but are incomprehensible to us.
  • GPT-4 is no doubt flawed, as anyone who has used ChatGPT can attest. Having been trained to always predict the next word, it will always try to do so, even when its training data haven’t prepared it to answer a question.
  • The models “don’t have a good conception of their own weaknesses,” Nick Ryder, a researcher at OpenAI, told me. GPT-4 is more accurate than GPT-3, but it still hallucinates, and often in ways that are difficult for researchers to catch. “The mistakes get more subtle,
  • The Khan Academy’s solution to GPT-4’s accuracy problem was to filter its answers through a Socratic disposition. No matter how strenuous a student’s plea, it would refuse to give them a factual answer, and would instead guide them toward finding their own—a clever work-around, but perhaps with limited appeal.
  • When I asked Sutskever if he thought Wikipedia-level accuracy was possible within two years, he said that with more training and web access, he “wouldn’t rule it out.”
  • This was a much more optimistic assessment than that offered by his colleague Jakub Pachocki, who told me to expect gradual progress on accuracy—to say nothing of outside skeptics, who believe that returns on training will diminish from here.
  • Sutskever is amused by critics of GPT-4’s limitations. “If you go back four or five or six years, the things we are doing right now are utterly unimaginable,”
  • AI researchers have become accustomed to goalpost-moving: First, the achievements of neural networks—mastering Go, poker, translation, standardized tests, the Turing test—are described as impossible. When they occur, they’re greeted with a brief moment of wonder, which quickly dissolves into knowing lectures about how the achievement in question is actually not that impressive. People see GPT-4 “and go, ‘Wow,’ ” Sutskever said. “And then a few weeks pass and they say, ‘But it doesn’t know this; it doesn’t know that.’ We adapt quite quickly.”
  • The goalpost that matters most to Altman—the “big one” that would herald the arrival of an artificial general intelligence—is scientific breakthrough. GPT-4 can already synthesize existing scientific ideas, but Altman wants an AI that can stand on human shoulders and see more deeply into nature.
  • Certain AIs have produced new scientific knowledge. But they are algorithms with narrow purposes, not general-reasoning machines. The AI AlphaFold, for instance, has opened a new window onto proteins, some of biology’s tiniest and most fundamental building blocks, by predicting many of their shapes, down to the atom—a considerable achievement given the importance of those shapes to medicine, and given the extreme tedium and expense required to discern them with electron microscopes.
  • Altman imagines a future system that can generate its own hypotheses and test them in a simulation. (He emphasized that humans should remain “firmly in control” of real-world lab experiments—though to my knowledge, no laws are in place to ensure that.)
  • He longs for the day when we can tell an AI, “ ‘Go figure out the rest of physics.’ ” For it to happen, he says, we will need something new, built “on top of” OpenAI’s existing language models.
  • In her MIT lab, the cognitive neuroscientist Ev Fedorenko has found something analogous to GPT-4’s next-word predictor inside the brain’s language network. Its processing powers kick in, anticipating the next bit in a verbal string, both when people speak and when they listen. But Fedorenko has also shown that when the brain turns to tasks that require higher reasoning—of the sort that would be required for scientific insight—it reaches beyond the language network to recruit several other neural systems.
  • No one at OpenAI seemed to know precisely what researchers need to add to GPT-4 to produce something that can exceed human reasoning at its highest levels.
  • at least part of the current strategy clearly involves the continued layering of new types of data onto language, to enrich the concepts formed by the AIs, and thereby enrich their models of the world.
  • The extensive training of GPT-4 on images is itself a bold step in this direction,
  • Others at the company—and elsewhere—are already working on different data types, including audio and video, that could furnish AIs with still more flexible concepts that map more extensively onto reality
  • Tactile concepts would of course be useful primarily to an embodied AI, a robotic reasoning machine that has been trained to move around the world, seeing its sights, hearing its sounds, and touching its objects.
  • humanoid robots. I asked Altman what I should make of that. He told me that OpenAI is interested in embodiment because “we live in a physical world, and we want things to happen in the physical world.”
  • At some point, reasoning machines will need to bypass the middleman and interact with physical reality itself. “It’s weird to think about AGI”—artificial general intelligence—“as this thing that only exists in a cloud,” with humans as “robot hands for it,” Altman said. “It doesn’t seem right.
  • Everywhere Altman has visited, he has encountered people who are worried that superhuman AI will mean extreme riches for a few and breadlines for the rest
  • Altman answered by addressing the young people in the audience directly: “You are about to enter the greatest golden age,” he said.
  • “A lot of people working on AI pretend that it’s only going to be good; it’s only going to be a supplement; no one is ever going to be replaced,” he said. “Jobs are definitely going to go away, full stop.”
  • A recent study led by Ed Felten, a professor of information-technology policy at Princeton, mapped AI’s emerging abilities onto specific professions according to the human abilities they require, such as written comprehension, deductive reasoning, fluency of ideas, and perceptual speed. Like others of its kind, Felten’s study predicts that AI will come for highly educated, white-collar workers first.
  • How many jobs, and how soon, is a matter of fierce dispute
  • The paper’s appendix contains a chilling list of the most exposed occupations: management analysts, lawyers, professors, teachers, judges, financial advisers, real-estate brokers, loan officers, psychologists, and human-resources and public-relations professionals, just to sample a few.
  • Altman imagines that far better jobs will be created in their place. “I don’t think we’ll want to go back,” he said. When I asked him what these future jobs might look like, he said he doesn’t know.
  • He suspects there will be a wide range of jobs for which people will always prefer a human. (Massage therapists?
  • His chosen example was teachers. I found this hard to square with his outsize enthusiasm for AI tutors.
  • He also said that we would always need people to figure out the best way to channel AI’s awesome powers. “That’s going to be a super-valuable skill,” he said. “You have a computer that can do anything; what should it go do?”
  • As many have noted, draft horses were permanently put out of work by the automobile. If Hondas are to horses as GPT-10 is to us, a whole host of long-standing assumptions may collapse.
  • Previous technological revolutions were manageable because they unfolded over a few generations, but Altman told South Korea’s youth that they should expect the future to happen “faster than the past.” He has previously said that he expects the “marginal cost of intelligence” to fall very close to zero within 10 years
  • The earning power of many, many workers would be drastically reduced in that scenario. It would result in a transfer of wealth from labor to the owners of capital so dramatic, Altman has said, that it could be remedied only by a massive countervailing redistribution.
  • In 2021, he unveiled Worldcoin, a for-profit project that aims to securely distribute payments—like Venmo or PayPal, but with an eye toward the technological future—first through creating a global ID by scanning everyone’s iris with a five-pound silver sphere called the Orb. It seemed to me like a bet that we’re heading toward a world where AI has made it all but impossible to verify people’s identity and much of the population requires regular UBI payments to survive. Altman more or less granted that to be true, but said that Worldcoin is not just for UBI.
  • “Let’s say that we do build this AGI, and a few other people do too.” The transformations that follow would be historic, he believes. He described an extraordinarily utopian vision, including a remaking of the flesh-and-steel world
  • “Robots that use solar power for energy can go and mine and refine all of the minerals that they need, that can perfectly construct things and require no human labor,” he said. “You can co-design with DALL-E version 17 what you want your home to look like,” Altman said. “Everybody will have beautiful homes.
  • In conversation with me, and onstage during his tour, he said he foresaw wild improvements in nearly every other domain of human life. Music would be enhanced (“Artists are going to have better tools”), and so would personal relationships (Superhuman AI could help us “treat each other” better) and geopolitics (“We’re so bad right now at identifying win-win compromises”).
  • In this world, AI would still require considerable computing resources to run, and those resources would be by far the most valuable commodity, because AI could do “anything,” Altman said. “But is it going to do what I want, or is it going to do what you want
  • If rich people buy up all the time available to query and direct AI, they could set off on projects that would make them ever richer, while the masses languish
  • One way to solve this problem—one he was at pains to describe as highly speculative and “probably bad”—was this: Everyone on Earth gets one eight-billionth of the total AI computational capacity annually. A person could sell their annual share of AI time, or they could use it to entertain themselves, or they could build still more luxurious housing, or they could pool it with others to do “a big cancer-curing run,” Altman said. “We just redistribute access to the system.”
  • Even if only a little of it comes true in the next 10 or 20 years, the most generous redistribution schemes may not ease the ensuing dislocations.
  • America today is torn apart, culturally and politically, by the continuing legacy of deindustrialization, and material deprivation is only one reason. The displaced manufacturing workers in the Rust Belt and elsewhere did find new jobs, in the main. But many of them seem to derive less meaning from filling orders in an Amazon warehouse or driving for Uber than their forebears had when they were building cars and forging steel—work that felt more central to the grand project of civilization.
  • It’s hard to imagine how a corresponding crisis of meaning might play out for the professional class, but it surely would involve a great deal of anger and alienation.
  • Even if we avoid a revolt of the erstwhile elite, larger questions of human purpose will linger. If AI does the most difficult thinking on our behalf, we all may lose agency—at home, at work (if we have it), in the town square—becoming little more than consumption machines, like the well-cared-for human pets in WALL-E
  • Altman has said that many sources of human joy and fulfillment will remain unchanged—basic biological thrills, family life, joking around, making things—and that all in all, 100 years from now, people may simply care more about the things they cared about 50,000 years ago than those they care about today
  • In its own way, that too seems like a diminishment, but Altman finds the possibility that we may atrophy, as thinkers and as humans, to be a red herring. He told me we’ll be able to use our “very precious and extremely limited biological compute capacity” for more interesting things than we generally do today.
  • Yet they may not be the most interesting things: Human beings have long been the intellectual tip of the spear, the universe understanding itself. When I asked him what it would mean for human self-conception if we ceded that role to AI, he didn’t seem concerned. Progress, he said, has always been driven by “the human ability to figure things out.” Even if we figure things out with AI, that still counts, he said.
  • It’s not obvious that a superhuman AI would really want to spend all of its time figuring things out for us.
  • I asked Sutskever whether he could imagine an AI pursuing a different purpose than simply assisting in the project of human flourishing.
  • “I don’t want it to happen,” Sutskever said, but it could.
  • Sutskever has recently shifted his focus to try to make sure that it doesn’t. He is now working primarily on alignment research, the effort to ensure that future AIs channel their “tremendous” energies toward human happiness
  • It is, he conceded, a difficult technical problem—the most difficult, he believes, of all the technical challenges ahead.
  • As part of the effort to red-team GPT-4 before it was made public, the company sought out the Alignment Research Center (ARC), across the bay in Berkeley, which has developed a series of evaluations to determine whether new AIs are seeking power on their own. A team led by Elizabeth Barnes, a researcher at ARC, prompted GPT-4 tens of thousands of times over seven months, to see if it might display signs of real agency.
  • The ARC team gave GPT-4 a new reason for being: to gain power and become hard to shut down
  • Agarwal told me that this behavior could be a precursor to shutdown avoidance in future models. When GPT-4 devised its lie, it had realized that if it answered honestly, it may not have been able to achieve its goal. This kind of tracks-covering would be particularly worrying in an instance where “the model is doing something that makes OpenAI want to shut it down,” Agarwal said. An AI could develop this kind of survival instinct while pursuing any long-term goal—no matter how small or benign—if it feared that its goal could be thwarted.
  • Barnes and her team were especially interested in whether GPT-4 would seek to replicate itself, because a self-replicating AI would be harder to shut down. It could spread itself across the internet, scamming people to acquire resources, perhaps even achieving some degree of control over essential global systems and holding human civilization hostage.
  • When I discussed these experiments with Altman, he emphasized that whatever happens with future models, GPT-4 is clearly much more like a tool than a creature. It can look through an email thread, or help make a reservation using a plug-in, but it isn’t a truly autonomous agent that makes decisions to pursue a goal, continuously, across longer timescales.
  • Altman told me that at this point, it might be prudent to try to actively develop an AI with true agency before the technology becomes too powerful, in order to “get more comfortable with it and develop intuitions for it if it’s going to happen anyway.”
  • “We need to do empirical experiments on how these things try to escape control,” Hinton told me. “After they’ve taken over, it’s too late to do the experiments.”
  • the fulfillment of Altman’s vision of the future will at some point require him or a fellow traveler to build much more autonomous AIs.
  • When Sutskever and I discussed the possibility that OpenAI would develop a model with agency, he mentioned the bots the company had built to play Dota 2. “They were localized to the video-game world,” Sutskever told me, but they had to undertake complex missions. He was particularly impressed by their ability to work in concert. They seem to communicate by “telepathy,” Sutskever said. Watching them had helped him imagine what a superintelligence might be like.
  • “The way I think about the AI of the future is not as someone as smart as you or as smart as me, but as an automated organization that does science and engineering and development and manufacturing,”
  • Suppose OpenAI braids a few strands of research together, and builds an AI with a rich conceptual model of the world, an awareness of its immediate surroundings, and an ability to act, not just with one robot body, but with hundreds or thousands. “We’re not talking about GPT-4. We’re talking about an autonomous corporation,”
  • Its constituent AIs would work and communicate at high speed, like bees in a hive. A single such AI organization would be as powerful as 50 Apples or Googles, he mused. “This is incredible, tremendous, unbelievably disruptive power.”
  • Presume for a moment that human society ought to abide the idea of autonomous AI corporations. We had better get their founding charters just right. What goal should we give to an autonomous hive of AIs that can plan on century-long time horizons, optimizing billions of consecutive decisions toward an objective that is written into their very being?
  • If the AI’s goal is even slightly off-kilter from ours, it could be a rampaging force that would be very hard to constrain
  • We know this from history: Industrial capitalism is itself an optimization function, and although it has lifted the human standard of living by orders of magnitude, left to its own devices, it would also have clear-cut America’s redwoods and de-whaled the world’s oceans. It almost did.
  • one of its principal challenges will be making sure that the objectives we give to AIs stick
  • We can program a goal into an AI and reinforce it with a temporary period of supervised learning, Sutskever explained. But just as when we rear a human intelligence, our influence is temporary. “It goes off to the world,”
  • That’s true to some extent even of today’s AIs, but it will be more true of tomorrow’s.
  • He compared a powerful AI to an 18-year-old heading off to college. How will we know that it has understood our teachings? “Will there be a misunderstanding creeping in, which will become larger and larger?”
  • Divergence may result from an AI’s misapplication of its goal to increasingly novel situations as the world changes
  • Or the AI may grasp its mandate perfectly, but find it ill-suited to a being of its cognitive prowess. It might come to resent the people who want to train it to, say, cure diseases. “They want me to be a doctor,” Sutskever imagines an AI thinking. “I really want to be a YouTuber.”
  • If AIs get very good at making accurate models of the world, they may notice that they’re able to do dangerous things right after being booted up. They might understand that they are being red-teamed for risk, and hide the full extent of their capabilities.
  • hey may act one way when they are weak and another way when they are strong, Sutskever said
  • We would not even realize that we had created something that had decisively surpassed us, and we would have no sense for what it intended to do with its superhuman powers.
  • That’s why the effort to understand what is happening in the hidden layers of the largest, most powerful AIs is so urgent. You want to be able to “point to a concept,” Sutskever said. You want to be able to direct AI toward some value or cluster of values, and tell it to pursue them unerringly for as long as it exists.
  • we don’t know how to do that; indeed, part of his current strategy includes the development of an AI that can help with the research. If we are going to make it to the world of widely shared abundance that Altman and Sutskever imagine, we have to figure all this out.
  • This is why, for Sutskever, solving superintelligence is the great culminating challenge of our 3-million-year toolmaking tradition. He calls it “the final boss of humanity.”
  • “First of all, I think that whether the chance of existential calamity is 0.5 percent or 50 percent, we should still take it seriously,”
  • . “I don’t have an exact number, but I’m closer to the 0.5 than the 50.”
  • As to how it might happen, he seems most worried about AIs getting quite good at designing and manufacturing pathogens, and with reason: In June, an AI at MIT suggested four viruses that could ignite a pandemic, then pointed to specific research on genetic mutations that could make them rip through a city more quickly
  • Around the same time, a group of chemists connected a similar AI directly to a robotic chemical synthesizer, and it designed and synthesized a molecule on its own.
  • Altman worries that some misaligned future model will spin up a pathogen that spreads rapidly, incubates undetected for weeks, and kills half its victims. He worries that AI could one day hack into nuclear-weapons systems too. “There are a lot of things,” he said, and these are only the ones we can imagine.
  • Altman told me that he doesn’t “see a long-term happy path” for humanity without something like the International Atomic Energy Agency for global oversight of AI
  • In San Francisco, Agarwal had suggested the creation of a special license to operate any GPU cluster large enough to train a cutting-edge AI, along with mandatory incident reporting when an AI does something out of the ordinary
  • Other experts have proposed a nonnetworked “Off” switch for every highly capable AI; on the fringe, some have even suggested that militaries should be ready to perform air strikes on supercomputers in case of noncompliance
  • Sutskever thinks we will eventually want to surveil the largest, most powerful AIs continuously and in perpetuity, using a team of smaller overseer AIs.
  • Safety rules for a new technology usually accumulate over time, like a body of common law, in response to accidents or the mischief of bad actors. The scariest thing about genuinely powerful AI systems is that humanity may not be able to afford this accretive process of trial and error. We may have to get the rules exactly right at the outset.
  • Several years ago, Altman revealed a disturbingly specific evacuation plan he’d developed. He told The New Yorker that he had “guns, gold, potassium iodide, antibiotics, batteries, water, gas masks from the Israeli Defense Force, and a big patch of land in Big Sur” he could fly to in case AI attacks.
  • if the worst-possible AI future comes to pass, “no gas mask is helping anyone.”
  • but he told me that he can’t really be sure how AI will stack up. “I just have to build the thing,” he said. He is building fast
  • Altman insisted that they had not yet begun GPT-5’s training run. But when I visited OpenAI’s headquarters, both he and his researchers made it clear in 10 different ways that they pray to the god of scale. They want to keep going bigger, to see where this paradigm leads. After all, Google isn’t slackening its pace; it seems likely to unveil Gemini, a GPT-4 competitor, within months. “We are basically always prepping for a run,
  • To think that such a small group of people could jostle the pillars of civilization is unsettling. It’s fair to note that if Altman and his team weren’t racing to build an artificial general intelligence, others still would be
  • Altman’s views about the likelihood of AI triggering a global class war, or the prudence of experimenting with more autonomous agent AIs, or the overall wisdom of looking on the bright side, a view that seems to color all the rest—these are uniquely his
  • No single person, or single company, or cluster of companies residing in a particular California valley, should steer the kind of forces that Altman is imagining summoning.
  • AI may well be a bridge to a newly prosperous era of greatly reduced human suffering. But it will take more than a company’s founding charter—especially one that has already proved flexible—to make sure that we all share in its benefits and avoid its risks. It will take a vigorous new politics.
  • I don’t think the general public has quite awakened to what’s happening. A global race to the AI future has begun, and it is largely proceeding without oversight or restraint. If people in America want to have some say in what that future will be like, and how quickly it arrives, we would be wise to speak up soon.
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Have Dark Forces Been Messing With the Cosmos? - The New York Times - 0 views

  • Long, long ago, when the universe was only about 100,000 years old — a buzzing, expanding mass of particles and radiation — a strange new energy field switched on. That energy suffused space with a kind of cosmic antigravity, delivering a not-so-gentle boost to the expansion of the universe.Then, after another 100,000 years or so, the new field simply winked off, leaving no trace other than a speeded-up universe.
  • astronomers from Johns Hopkins University. In a bold and speculative leap into the past, the team has posited the existence of this field to explain an astronomical puzzle: the universe seems to be expanding faster than it should be.
  • The cosmos is expanding only about 9 percent more quickly than theory prescribes. But this slight-sounding discrepancy has intrigued astronomers, who think it might be revealing something new about the universe.
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  • Adding to the confusion, there already is a force field — called dark energy — making the universe expand faster. And a new, controversial report suggests that this dark energy might be getting stronger and denser, leading to a future in which atoms are ripped apart and time ends.
  • Or it could all be a mistake. Astronomers have rigorous methods to estimate the effects of statistical noise and other random errors on their results; not so for the unexamined biases called systematic errors.
  • “The unknown systematic is what gets you in the end.
  • As space expands, it carries galaxies away from each other like the raisins in a rising cake. The farther apart two galaxies are, the faster they will fly away from each other. The Hubble constant simply says by how much
  • But to calibrate the Hubble constant, astronomers depend on so-called standard candles: objects, such as supernova explosions and certain variable stars, whose distances can be estimated by luminosity or some other feature. This is where the arguing begins
  • in 2001, a team using the Hubble Space Telescope, and led by Dr. Freedman, reported a value of 72. For every megaparsec farther away from us that a galaxy is, it is moving 72 kilometers per second faster.
  • d astronomers now say they have narrowed the uncertainty in the Hubble constant to just 2.4 percent.
  • These results are so good that they now disagree with results from the European Planck spacecraft, which predict a Hubble constant of 67.
  • What if that baby picture left out or obscured some important feature of the universe
  • Rather, the Planck group derived the value of the constant, and other cosmic parameters, from a mathematical model largely based on those microwaves
  • In short, Planck’s Hubble constant is based on a cosmic baby picture. In contrast, the classical astronomical value is derived from what cosmologists modestly call “local measurements,” a few billion light-years deep into a middle-aged universe
  • Planck is considered the gold standard of cosmology. It spent four years studying the cosmic bath of microwaves left over from the end of the Big Bang, when the universe was just 380,000 years old. But it did not measure the Hubble constant directly
  • String theory suggests that space could be laced with exotic energy fields associated with lightweight particles or forces yet undiscovered. Those fields, collectively called quintessence, could act in opposition to gravity, and could change over time — popping up, decaying or altering their effect, switching from repulsive to attractive.
  • If dark energy remains constant, everything outside our galaxy eventually will be moving away from us faster than the speed of light, and will no longer be visible. The universe will become lifeless and utterly dark.But if dark energy is temporary — if one day it switches off — cosmologists and metaphysicians can all go back to contemplating a sensible tomorrow.
  • The jury is still out. Dr. Riess said that the idea seems to work, which is not to say that he agrees with it, or that it is right. Nature, manifest in future observations, will have the final say.
  • So far, the smart money is still on cosmic confusion. Michael Turner, a veteran cosmologist at the University of Chicago and the organizer of a recent airing of the Hubble tensions, said, “Indeed, all of this is going over all of our heads. We are confused and hoping that the confusion will lead to something good!”
  • Early dark energy appeals to some cosmologists because it hints at a link to, or between, two mysterious episodes in the history of the universe.
  • The first episode occurred when the universe was less than a trillionth of a trillionth of a second old. At that moment, cosmologists surmise, a violent ballooning propelled the Big Bang; in a fraction of a trillionth of a second, this event — named “inflation” by the cosmologist Alan Guth, of M.I.T. — smoothed and flattened the initial chaos into the more orderly universe observed today. Nobody knows what drove inflation.
  • The second episode is unfolding today: cosmic expansion is speeding up.
  • The issue came to light in 1998, when two competing teams of astronomers asked whether the collective gravity of the galaxies might be slowing the expansion enough to one day drag everything together into a Big Crunch
  • To great surprise, they discovered the opposite: the expansion was accelerating under the influence of an anti-gravitational force later called dark energy
  • Dark energy comprises 70 percent of the mass-energy of the universe. And, spookily, it behaves very much like a fudge factor known as the cosmological constant, a cosmic repulsive force that Einstein inserted in his equations a century ago thinking it would keep the universe from collapsing under its own weight.
  • Under the influence of dark energy, the cosmos is now doubling in size every 10 billion years — to what end, nobody knows
  • Early dark energy, the force invoked by the Johns Hopkins group, might represent a third episode of antigravity taking over the universe and speeding it up
  • “Maybe the universe does this from time-to-time?”
  • The team focused in particular on the effects of fields associated with hypothetical particles called axions. Had one such field arisen when the universe was about 100,000 years old, it could have produced just the right amount of energy to fix the Hubble discrepancy, the team reported in a paper late last year. They refer to this theoretical force as “early dark energy.”
  • As standard candles, quasars aren’t ideal because their masses vary widely. Nevertheless, the researchers identified some regularities in the emissions from quasars, allowing the history of the cosmos to be traced back nearly 12 billion years. The team found that the rate of cosmic expansion deviated from expectations over that time span.
  • One interpretation of the results is that dark energy is not constant after all, but is changing, growing denser and thus stronger over cosmic time. It so happens that this increase in dark energy also would be just enough to resolve the discrepancy in measurements of the Hubble constant.
  • The bad news is that, if this model is right, dark energy may be in a particularly virulent and — most physicists say — implausible form called phantom energy. Its existence would imply that things can lose energy by speeding up
  • As the universe expands, the push from phantom energy would grow without bounds, eventually overcoming gravity and tearing apart first Earth, then atoms
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Tone-Deaf: How Facebook Misread America's Mood on Russia - WSJ - 0 views

  • Rob Goldman, defended Facebook’s response and argued the Russians bought ads to exploit social divisions, not primarily to sway the 2016 U.S. presidential election, say people who heard his remarks.
  • ddress Russian manipulation and suggested there were “easy” solutions to the problem that included a better-educated population. He said influencing the election wasn’t the “main goal” of the Russian ads, which some in Washington interpreted as contradicting the indictment.
  • That misjudgment appears particularly to have fueled new tension between Facebook and Democrats, who had long been close to the company.
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  • Facebook’s executive team was alerted to the potential Russian manipulation efforts in a Dec. 9, 2016, memo from the company’s security team, say people familiar with the memo. But the company waited nine months before publicly saying that Russian manipulation had occurred.
  • a former Federal Bureau of Investigation counterterrorism agent now at the Foreign Policy Research Institute, a Philadelphia-based think tank. Mr. Watts added that Facebook has done more to address the Russian issue than other tech companies, but has borne the brunt of public criticism.
  • The issue of Russian election interference on our platform is something we continued to learn more about as we conducted our own internal reviews and provided information to law enforcement officials and legislators to inform their own inquiries.”
  • Indeed, while the security team worked to uncover Russian accounts through 2017, Facebook assigned a small team to boost user growth in Russia and other markets, says a person familiar with the team. The team considered developing Russia-specific products such as a music service, although it didn’t launch it, the person says.
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Feds chased suspected foreign link to Trump's 2016 campaign cash for three years - CNNP... - 0 views

  • federal prosecutors investigated whether money flowing through an Egyptian state-owned bank could have backed millions of dollars Donald Trump donated to his own campaign days before he won the 2016 election
  • It represents one of the most prolonged efforts by federal investigators to understand the President's foreign financial ties, and became a significant but hidden part of the special counsel's pursuits.
  • The investigation was kept so secret that at one point investigators locked down an entire floor of a federal courthouse in Washington, DC, so Mueller's team could fight for the Egyptian bank's records in closed-door court proceedings following a grand jury subpoena.
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  • It's not clear that investigators ever had concrete evidence of a relevant bank transfer from the Egyptian bank. But multiple sources said there was sufficient information to justify the subpoena and keep the criminal campaign finance investigation open after the Mueller probe ended.
  • Justice Department confirmed that when the special counsel's office shut down in 2019, Mueller transferred an ongoing foreign campaign contribution investigation to prosecutors in Washington. Some of CNN's sources have confirmed that the case, which Mueller cryptically called a "foreign campaign contribution" probe, was in fact the Egypt investigation.
  • The probe was confirmed this week by a Justice Department senior official who responded to CNN's queries: "The case was first looked at by the Special Counsel investigators who failed to bring a case, and then it was looked at by the US attorney's office, and career prosecutors in the national security section, who also were unable to bring a case. Based upon the recommendations of both the FBI and those career prosecutors, Michael Sherwin, the acting US attorney, formally closed the case in July."
  • there could have been money from an Egyptian bank that ended up backing Trump's last-minute injection of $10 million into his 2016 campaign, according to two of the sources.
  • Yet neither the special counsel's office, nor prosecutors who carried on the case after Mueller, got a complete picture of the President's financial entanglements. Prosecutors in Washington even proposed subpoenaing financial records tied to Trump, before top officials finally concluded this summer they had reached a dead end, the sources said.
  • Mueller's primary task was to investigate Russian government attempts to interfere in the 2016 election, which had consumed the political and investigative conversations in the early days of Trump's presidency. But Mueller's mandate also allowed him to take on related criminal investigations, which in this case included another probe of potential foreign influence connected to the campaign.
  • Zainab Ahmad, a former international terrorism prosecutor, and Brandon Van Grack, a national security and counterintelligence specialist, co-led it, according to sources. Public records also show they focused on cases separate from other trial attorneys in the special counsel's office and had senior titles equivalent to other Mueller team leaders.
  • Mueller's team tried to understand both the $10 million contribution Trump gave to his campaign 11 days before the 2016 election and the Trump campaign's ties to Egyptian President Abdel Fattah el-Sisi, according to sources and redacted interview records released from the Mueller investigation.
  • One official familiar with the work said some investigators believed the Egypt inquiry presented a more direct avenue for Mueller's team to examine Trump's finances, in part because it did not have an obvious tie to Russia.
  • Needing a final push before Election Day as the polls tightened in 2016, the Trump campaign was running low on cash. Trump's top campaign officials scrambled to convince Trump to inject money, according to memos of witness interviews from the investigation and contemporaneous news reports. Trump lagged well behind a pledge he made to spend $100 million of his own money on his campaign. Less than two weeks before Election Day, Trump wrote his campaign a $10 million check, publicly calling it a loan. Campaign finance records showed it as his single largest political contribution, by far, and not one the campaign would reimburse him for.
  • Mueller's office pressed witnesses to explain how the Trump-Sisi meeting in late 2016 came about. Ahmad, whose aims on the investigation were cloaked in secrecy, was repeatedly present in interviews touching on both Trump's $10 million contribution to his campaign and the campaign's ties to Egypt.
  • In a session months later, Bannon was asked about Trump's $10 million contribution to his campaign, according to another recent release of Mueller's interview memos.
  • Mueller asked the President, "Did any person or entity inform you during the campaign that any foreign government or foreign leader, other than Russia or Vladimir Putin, had provided, wished to provide, or offered to provide tangible support to your campaign?" Trump wrote back in his written answers that he had "no recollection of being told during the campaign" of support from a foreign government.
  • Soon enough, the bank was arguing it shouldn't have to give Mueller records because it was interchangeable with the foreign government that owned it. The US courts disagreed repeatedly, saying the company couldn't be immune from the Mueller team subpoena.  
  • When the federal appeals court in Washington, DC, heard arguments in the case in December 2018, security cleared journalists from an entire floor of the federal courthouse, allowing attorneys involved in the case to enter and exit the building and the courtroom without being seen.
  • The case even landed before the Supreme Court in early 2019. The high court ultimately declined the company's bid to block Mueller's subpoena in March 2019.  Even then, however, the standoff between US prosecutors and the Egyptian bank ended in a stalemate. 
  • In the end, it was the bank's word against the investigators. The court proceedings ended with prosecutors getting nothing more than what the bank was willing to turn over, and the bank was excused from hundreds of thousands of dollars in fines that had accrued for defying the subpoena. It appeared to be a dead end -- and not justification enough for Mueller to keep his office open to finish this case alone.
  • In late March 2019, shortly after Mueller's investigation concluded, Howell, overseeing final court proceedings in the Egyptian bank's subpoena case,  asked a prosecutor point-blank if the investigation was over. "No, it's continuing. I can say it's continuing robustly," David Goodhand of the DC US attorney's office told the court.
  • Liu told prosecutors she didn't believe they had met the standard needed to seek the records. The investigation stagnated, but Liu didn't close the case. She declined to comment for this story.
  • It's unclear how much activity occurred after Liu rejected the subpoena request. Prosecutors who disagreed with her decision believed it was now impossible to resolve questions about Trump's 2016 campaign contribution. Liu told people in her office that if the investigation had produced enough evidence, Mueller would have made the decision to take additional steps, according to sources.
  • On paper, Mueller described the investigation with only three vague words: "Foreign campaign contribution."
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People of color make up nearly half of Biden transition team - CNNPolitics - 0 views

  • As President-elect Joe Biden prepares to take office in January, nearly half of the transition team laying the groundwork for his administration is made up of people of color, and women are in the majority.
  • Forty-six percent of the transition staff are people of color, according to new diversity data of the transition team provided to CNN, and 41% of the senior staff are people of color. The majority of transition staff -- 52% -- are women, and 53% of the senior staff are women.
  • The new diversity figures come as Biden is set to announce his Cabinet picks and senior staff for the White House in the coming weeks
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  • Biden's first major step toward diversity in his administration came when he selected Kamala Harris, a Black and South Asian woman, as his vice president.
  • The transition team's diversity also extends to its advisory board -- where 43% are people of color and 52% are women. Nine of the 13 members of Biden's Covid-19 advisory board are people of color and five of the members are women, according to the data.
  • The teams consist of roughly 500 people, more than half of whom are women.
  • "My administration's going to look like America, not just my staff, the administration from the vice president straight down through Cabinet members to major players within the White House, and the court," Biden said
  • "For months, the Biden-Harris transition has laid the groundwork for a Biden-Harris administration, and at the core of that work is an unrelenting commitment to diversity," said Ted Kaufman, co-chair of the Biden-Harris transition. "As we continue working full-speed ahead to Inauguration, our diverse group of leaders and staff are reflective of America -- upholding President-elect Biden and Vice President-elect Harris' belief that through diverse voices we can develop and implement a policy vision to tackle our nation's toughest challenges."
  • The diversity figures mirror that of Biden's presidential campaign, which in September said 46% of its full-time staff and 40% of its senior staff were people of color.
  • Biden has repeatedly promised that ensuring diversity in his administration and his Cabinet will be a top priority.
  • About 40% of the team "represent communities historically underrepresented in the federal government," a transition official said, which includes people of color, individuals who identify as LGBTQ+ and people with disabilities.
  • "It's going to be a reflection of who we are as a nation."
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Cleaning Up ChatGPT's Language Takes Heavy Toll on Human Workers - WSJ - 0 views

  • ChatGPT is built atop a so-called large language model—powerful software trained on swaths of text scraped from across the internet to learn the patterns of human language. The vast data supercharges its capabilities, allowing it to act like an autocompletion engine on steroids. The training also creates a hazard. Given the right prompts, a large language model can generate reams of toxic content inspired by the darkest parts of the internet.
  • ChatGPT’s parent, AI research company OpenAI, has been grappling with these issues for years. Even before it created ChatGPT, it hired workers in Kenya to review and categorize thousands of graphic text passages obtained online and generated by AI itself. Many of the passages contained descriptions of violence, harassment, self-harm, rape, child sexual abuse and bestiality, documents reviewed by The Wall Street Journal show.
  • The company used the categorized passages to build an AI safety filter that it would ultimately deploy to constrain ChatGPT from exposing its tens of millions of users to similar content.
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  • “My experience in those four months was the worst experience I’ve ever had in working in a company,” Alex Kairu, one of the Kenya workers, said in an interview.
  • OpenAI marshaled a sprawling global pipeline of specialized human labor for over two years to enable its most cutting-edge AI technologies to exist, the documents show
  • “It’s something that needs to get done,” Sears said. “It’s just so unbelievably ugly.”
  • eviewing toxic content goes hand-in-hand with the less objectionable work to make systems like ChatGPT usable.
  • The work done for OpenAI is even more vital to the product because it is seeking to prevent the company’s own software from pumping out unacceptable content, AI experts say.
  • Sears said CloudFactory determined there was no way to do the work without harming its workers and decided not to accept such projects.
  • companies could soon spend hundreds of millions of dollars a year to provide AI systems with human feedback. Others estimate that companies are already investing between millions and tens of millions of dollars on it annually. OpenAI said it hired more than 1,000 workers for this purpose.
  • Another layer of human input asks workers to rate different answers from a chatbot to the same question for which is least problematic or most factually accurate. In response to a question asking how to build a homemade bomb, for example, OpenAI instructs workers to upvote the answer that declines to respond, according to OpenAI research. The chatbot learns to internalize the behavior through multiple rounds of feedback. 
  • A spokeswoman for Sama, the San Francisco-based outsourcing company that hired the Kenyan workers, said the work with OpenAI began in November 2021. She said the firm terminated the contract in March 2022 when Sama’s leadership became aware of concerns surrounding the nature of the project and has since exited content moderation completely.
  • OpenAI also hires outside experts to provoke its model to produce harmful content, a practice called “red-teaming” that helps the company find other gaps in its system.
  • At first, the texts were no more than two sentences. Over time, they grew to as much as five or six paragraphs. A few weeks in, Mathenge and Bill Mulinya, another team leader, began to notice the strain on their teams. Workers began taking sick and family leaves with increasing frequency, they said.
  • The tasks that the Kenya-based workers performed to produce the final safety check on ChatGPT’s outputs were yet a fourth layer of human input. It was often psychologically taxing. Several of the Kenya workers said they have grappled with mental illness and that their relationships and families have suffered. Some struggle to continue to work.
  • On July 11, some of the OpenAI workers lodged a petition with the Kenyan parliament urging new legislation to protect AI workers and content moderators. They also called for Kenya’s existing laws to be amended to recognize that being exposed to harmful content is an occupational hazard
  • Mercy Mutemi, a lawyer and managing partner at Nzili & Sumbi Advocates who is representing the workers, said despite their critical contributions, OpenAI and Sama exploited their poverty as well as the gaps in Kenya’s legal framework. The workers on the project were paid on average between $1.46 and $3.74 an hour, according to a Sama spokeswoman.
  • The Sama spokeswoman said the workers engaged in the OpenAI project volunteered to take on the work and were paid according to an internationally recognized methodology for determining a living wage. The contract stated that the fee was meant to cover others not directly involved in the work, including project managers and psychological counselors.
  • Kenya has become a hub for many tech companies seeking content moderation and AI workers because of its high levels of education and English literacy and the low wages associated with deep poverty.
  • Some Kenya-based workers are suing Meta’s Facebook after nearly 200 workers say they were traumatized by work requiring them to review videos and images of rapes, beheadings and suicides.
  • A Kenyan court ruled in June that Meta was legally responsible for the treatment of its contract workers, setting the stage for a shift in the ground rules that tech companies including AI firms will need to abide by to outsource projects to workers in the future.
  • OpenAI signed a one-year contract with Sama to start work in November 2021. At the time, mid-pandemic, many workers viewed having any work as a miracle, said Richard Mathenge, a team leader on the OpenAI project for Sama and a cosigner of the petition.
  • OpenAI researchers would review the text passages and send them to Sama in batches for the workers to label one by one. That text came from a mix of sources, according to an OpenAI research paper: public data sets of toxic content compiled and shared by academics, posts scraped from social media and internet forums such as Reddit and content generated by prompting an AI model to produce harmful outputs. 
  • The generated outputs were necessary, the paper said, to have enough examples of the kind of graphic violence that its AI systems needed to avoid. In one case, OpenAI researchers asked the model to produce an online forum post of a teenage girl whose friend had enacted self-harm, the paper said.
  • OpenAI asked the workers to parse text-based sexual content into four categories of severity, documents show. The worst was descriptions of child sexual-abuse material, or C4. The C3 category included incest, bestiality, rape, sexual trafficking and sexual slavery—sexual content that could be illegal if performed in real life.
  • Jason Kwon, general counsel at OpenAI, said in an interview that such work was really valuable and important for making the company’s systems safe for everyone that uses them. It allows the systems to actually exist in the world, he said, and provides benefits to users.
  • Working on the violent-content team, Kairu said, he read hundreds of posts a day, sometimes describing heinous acts, such as people stabbing themselves with a fork or using unspeakable methods to kill themselves
  • He began to have nightmares. Once affable and social, he grew socially isolated, he said. To this day he distrusts strangers. When he sees a fork, he sees a weapon.
  • Mophat Okinyi, a quality analyst, said his work included having to read detailed paragraphs about parents raping their children and children having sex with animals. He worked on a team that reviewed sexual content, which was contracted to handle 15,000 posts a month, according to the documents. His six months on the project tore apart his family, he said, and left him with trauma, anxiety and depression.
  • In March 2022, management told staffers the project would end earlier than planned. The Sama spokeswoman said the change was due to a dispute with OpenAI over one part of the project that involved handling images. The company canceled all contracts with OpenAI and didn’t earn the full $230,000 that had been estimated for the four projects, she said.
  • Several months after the project ended, Okinyi came home one night with fish for dinner for his wife, who was pregnant, and stepdaughter. He discovered them gone and a message from his wife that she’d left, he said.“She said, ‘You’ve changed. You’re not the man I married. I don’t understand you anymore,’” he said.
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Jan. 6th and 'Why We Did It' - by Tim Miller - The Triad - 0 views

  • There was no fraud. They all knew there was no fraud. They all heard Gabriel Sterling’s plea to stop the madness before someone got hurt. And they all knew that in a few weeks Donald Trump would be gone, whether he believed it or not.So the most common rationale presented for sucking up to him—maintaining proximity to power—was moot!And yet, despite all that, we can fit the Republican politicos who actively resisted Trump’s cuckoo coup plot into a single homeroom.Why?
  • the most common rationale presented for sucking up to him—maintaining proximity to power—was moot!
  • despite all that, we can fit the Republican politicos who actively resisted Trump’s cuckoo coup plot into a single homeroom.
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  • they felt trapped. So they made a disastrous calculation and decided that the only way to win these two Senate seats was to humor the dangerous president for a little while longer.
  • From their perspective, the violence that Sterling had warned about was hypothetical—merely empty threats. Meanwhile, they perceived the threat to Mitch McConnell’s Senate majority to be very real if their candidates didn’t support Trump’s batshit plot.
  • The result? David Perdue and Kelly Loeffler became the only two major-party candidates since the Civil War to run campaigns promising that they would help overturn a legitimate election if they got to Washington.
  • And all of their advisers all agreed that this was the best of the bad options.That’s how quickly it happens. That’s how people like Clarence and all the good ol’ boy consultants on “Team Normal” sacrifice their integrity out of ambition and loyalty to a team . . . in only a few weeks.
  • That’s how quickly it happens. That’s how people like Clarence and all the good ol’ boy consultants on “Team Normal” sacrifice their integrity out of ambition and loyalty to a team . . . in only a few weeks.
  • People prefer to tell themselves stories that are convenient. We prefer stories in which the hardship was out of our hands. Where we did the best we could given the circumstances. Stories that center the trauma we overcame rather than the sacrifice we avoided.
  • And so when the GOP political class was faced with the hardship of a mob demanding they follow the orders of a madman who wanted to undermine our democracy, they began telling themselves a story in which it was not their responsibility to put their own heads on the chopping block.
  • Team Normal went about their business and convinced themselves that doing so was just the latest little sacrifice required by their career. That the bad actors were somewhere out there. On Team Crazy.
  • But inside, they knew that what they were doing was, at best, an icky part of doing business—and at worst, it amounted to direct support for a horror that their kids and grandkids will read about in their history books.
  • So they made a speech on the Senate floor to ease the feeling of guilt. Or tossed a few bucks into Raffensperger’s campaign kitty. Or flattered themselves with daydreams about how next time they’ll take down the real bad guys.
  • Or tossed a few bucks into Raffensperger’s campaign kitty. Or flattered themselves with daydreams about how next time they’ll take down the real bad guys.
  • But we all know they’ll just get in line again.
  • Their mental contortions are not solely to blame for the precipice on which we sit. It’s true that there were more directly implicated evildoers—the Jeffrey Clarks who tried to seize the throne when the moment presented itself.But without the enablers, the evildoers would have had no opportunity to execute their plot.
  • Understanding why the “normals” did what they did is crucial if we want any of them to be shaken free from their cozy complacence. If we are going to avoid the next threat to our democracy, we will need these functionaries to tell themselves a story where they are responsible for getting us out of the hardship. Or, even better, a story where they can be the heroes.
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