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The case has caused palpable unease at the Fox News Channel, said several people there,

Dominion is trying to build a case that aims straight at the top of the Fox media empire and the Murdochs. In court filings and depositions, Dominion lawyers have laid out how they plan to show that senior Fox executives hatched a plan after the election to lure back viewers who had switched to rival hard-right networks, which were initially more sympathetic than Fox was to Mr. Trump’s voter-fraud claims.

Libel law doesn’t protect lies. But it does leave room for the media to cover newsworthy figures who tell them. And Fox is arguing, in part, that’s what shields it from liability.

“The harm to Dominion from the lies told by Fox is unprecedented and irreparable because of how fervently millions of people believed them — and continue to believe them,”

For Dominion to convince a jury that Fox should be held liable for defamation and pay damages, it has to clear an extremely high legal bar known as the “actual malice” standard. Dominion must show either that people inside Fox knew what hosts and guests were saying about the election technology company was false, or that they effectively ignored information proving that the statements in question were wrong — which is known in legal terms as displaying a reckless disregard for the truth.

Dominion’s lawyers have focused some of their questioning in depositions on the decision-making hierarchy at Fox News, according to one person with direct knowledge of the case, showing a particular interest in what happened on election night inside the network in the hours after it projected Mr. Trump would lose Arizona.

Fox has also been searching for evidence that could, in effect, prove the Dominion conspiracy theories weren’t really conspiracy theories. Behind the scenes, Fox’s lawyers have pursued documents that would support numerous unfounded claims about Dominion, including its supposed connections to Hugo Chávez, the Venezuelan dictator who died in 2013, and software features that were ostensibly designed to make vote manipulation easier.

In one interview, Mr. Giuliani falsely claimed that Dominion was owned by a Venezuelan company with close ties to Mr. Chavez, and that it was formed “to fix elections.” (Dominion was founded in Canada in 2002 by a man who wanted to make it easier for blind people to vote.)

A spokesman for Dominion declined to comment. In its initial complaint, the company’s lawyers wrote that “The truth matters,” adding, “Lies have consequences.”

he hurdle Dominion must clear is whether it can persuade a jury to believe that people at Fox knew they were spreading lies.“Disseminating ‘The Big Lie’ isn’t enough,” said RonNell Andersen Jones, a law professor and First Amendment scholar at the University of Utah’s S.J. Quinney College of Law. “It has to be a knowing lie.”

For this crew, the early success of their past companies or careers is usually prologue, and their skills will, of course, transfer to any area they choose to conquer (including magically solving free speech). But what they are actually doing is winging it.

There is a tendency, especially when it comes to the über-rich and powerful, to assume and to fantasize about what we can’t see. We ascribe shadowy brilliance or malevolence, which may very well be unearned or misguided.

What’s striking about the Musk messages, then, is the similarity between these men’s behavior behind closed doors and in public on Twitter. Perhaps the real revelation here is that the shallowness you see is the shallowness you get.

Over the subsequent four decades, Thatcherites at think tanks like the Institute of Economic Affairs and the Centre for Policy Studies (which Margaret Thatcher helped set up) described the struggle against both the Labour Party and the broader persistence of Socialism in the Communist and non-Communist world as a “war of ideas.”

Thatcherites, known collectively as the ultras, gained fresh blood in the 2010s as a group of Gen Xers too young to experience Thatcherism in its insurgent early years — including the former home secretary Priti Patel, the former foreign secretary Dominic Raab, the former minister of state for universities Chris Skidmore, Mr. Kwarteng and Ms. Truss — attempted to reboot her ideology for the new millennium.

They followed their idol not only in her antagonism to organized labor but also in her less-known fascination with Asian capitalism. In 2012’s “Britannia Unchained,” a book co-written by the group that remains a Rosetta Stone for the policy surprises of the last month, they slammed the Britons for their eroded work ethic and “culture of excuses” and the “cosseted” public sector unions. They praised China, South Korea, Singapore and Hong Kon

“Britannia Unchained” expressed a desire to go back to the future by restoring Victorian values of hard work, self-improvement and bootstrapping.

While the Gen X Thatcherites didn’t scrimp on data, they also saw something ineffable at the root of British malaise. “Beyond the statistics and economic theories,” they wrote, “there remains a sense in which many of Britain’s problems lie in the sphere of cultural values and mind-set.”

As Thatcher herself put it, “Economics are the method; the object is to change the heart and soul.” Britain needed a leap of faith to restore itself.

Ms. Truss and Mr. Kwarteng seemed to have believed that by patching together all of the most radical policies of Thatcherism (while conveniently dropping the need for spending cuts), they would be incanting a kind of magic spell, an “Open sesame” for “global Britain.” This was their Reagan moment, their moment when, as their favorite metaphors put it, a primordial repressed force would be “unchained,” “unleashed” or “unshackled.”But as a leap of faith, it broke the diver’s neck.

the money markets were not waiting for an act of faith in Laffer Curve fundamentalism after all. This was “Reaganism without the dollar.” Without the confidence afforded to the global reserve currency, the pound went into free fall.

ince the 1970s, the world of think tanks had embraced a framing of the world in terms of discrete spaces that could become what they called laboratories for new policies

The mini-budget subjected the entire economy to experimental treatment. This was put in explicit terms in a celebratory post by a Tory journalist and think tanker claiming that Ms. Truss and Mr. Kwarteng had been “incubated” by the Institute of Economic Affairs in their early years and “Britain is now their laboratory.”

The scientists at the bench discovered that the money markets would not only punish left-wing experiments in changing the balance between states and markets, but they were also sensitive to experiments that pushed too far to the right. A cowed Ms. Truss apologized, and Mr. Kwarteng’s successor has reversed almost all of the planned cuts and limited the term for energy supports.

As Tamara Plakins Thornton demonstrates in her book Handwriting in America, it has always been affected by changing social and cultural forces. In 18th-century America, writing was the domain of the privileged.

By law or custom, the enslaved were prohibited from literacy almost everywhere

The notion of a signature as a unique representation of a particular individual gradually came to be enshrined in the law and accepted as legitimate legal evidence.

Writing, though, was much less widespread—taught separately and sparingly in colonial America, most often to men of status and responsibility and to women of the upper classes. Men and women even learned different scripts—an ornamental hand for ladies, and an unadorned, more functional form for the male world of power and commerce.

increase in the number of women able to write. By 1860, more than 90 percent of the white population in America could both read and write.

Penmanship came to be seen as a marker and expression of the self—of gender and class, to be sure, but also of deeper elements of character and soul.

n New England, nearly all men and women could read; in the South, which had not developed an equivalent system of common schools, a far lower percentage of even the white population could do so

No, most of these history students admitted, they could not read manuscripts. If they were assigned a research paper, they sought subjects that relied only on published sources.

Didn’t professors make handwritten comments on their papers and exams? Many of the students found these illegible. Sometimes they would ask a teacher to decipher the comments; more often they just ignored them.

I wondered how many of my colleagues have been dutifully offering handwritten observations without any clue that they would never be read.

I asked the students if they made grocery lists, kept journals, or wrote thank-you or condolence letters. Almost all said yes. Almost all said they did so on laptops and phones or sometimes on paper in block letters

“There is something charming about receiving a handwritten note,” one student acknowledged. Did he mean charming like an antique curiosity? Charming in the sense of magical in its capacity to create physical connections between human minds? Charming as in establishing an aura of the original, the unique, and the authentic? Perhaps all of these

there are dangers in cursive’s loss. Students will miss the excitement and inspiration that I have seen them experience as they interact with the physical embodiment of thoughts and ideas voiced by a person long since silenced by death. Handwriting can make the past seem almost alive in the present.

All of us, not just students and scholars, will be affected by cursive’s loss. The inability to read handwriting deprives society of direct access to its own past. We will become reliant on a small group of trained translators and experts to report what history—including the documents and papers of our own families—was about.

The spread of literacy in the early modern West was driven by people’s desire to read God’s word for themselves, to be empowered by an experience of unmediated connection. The abandonment of cursive represents a curious reverse parallel: We are losing a connection, and thereby disempowering ourselves.

agents will open up many more learning opportunities.

Already, AI can help you pick out a new TV and recommend movies, books, shows, and podcasts. Likewise, a company I’ve invested in, recently launched Pix, which lets you ask questions (“Which Robert Redford movies would I like and where can I watch them?”) and then makes recommendations based on what you’ve liked in the past

Productivity

copilots can do a lot—such as turn a written document into a slide deck, answer questions about a spreadsheet using natural language, and summarize email threads while representing each person’s point of view.

before the sophisticated agents I’m describing become a reality, we need to confront a number of questions about the technology and how we’ll use it.

Helping patients and healthcare workers will be especially beneficial for people in poor countries, where many never get to see a doctor at all.

To create a new app or service, you won’t need to know how to write code or do graphic design. You’ll just tell your agent what you want. It will be able to write the code, design the look and feel of the app, create a logo, and publish the app to an online store

Agents will do even more. Having one will be like having a person dedicated to helping you with various tasks and doing them independently if you want. If you have an idea for a business, an agent will help you write up a business plan, create a presentation for it, and even generate images of what your product might look like

For decades, I’ve been excited about all the ways that software would make teachers’ jobs easier and help students learn. It won’t replace teachers, but it will supplement their work—personalizing the work for students and liberating teachers from paperwork and other tasks so they can spend more time on the most important parts of the job.

Mental health care is another example of a service that agents will make available to virtually everyone. Today, weekly therapy sessions seem like a luxury. But there is a lot of unmet need, and many people who could benefit from therapy don’t have access to it.

I don’t think any single company will dominate the agents business--there will be many different AI engines available.

The real shift will come when agents can help patients do basic triage, get advice about how to deal with health problems, and decide whether they need to seek treatment.

They’ll replace word processors, spreadsheets, and other productivity apps.

Education

For example, few families can pay for a tutor who works one-on-one with a student to supplement their classroom work. If agents can capture what makes a tutor effective, they’ll unlock this supplemental instruction for everyone who wants it. If a tutoring agent knows that a kid likes Minecraft and Taylor Swift, it will use Minecraft to teach them about calculating the volume and area of shapes, and Taylor’s lyrics to teach them about storytelling and rhyme schemes. The experience will be far richer—with graphics and sound, for example—and more personalized than today’s text-based tutors.

your agent will be able to help you in the same way that personal assistants support executives today. If your friend just had surgery, your agent will offer to send flowers and be able to order them for you. If you tell it you’d like to catch up with your old college roommate, it will work with their agent to find a time to get together, and just before you arrive, it will remind you that their oldest child just started college at the local university.

To see the dramatic change that agents will bring, let’s compare them to the AI tools available today. Most of these are bots. They’re limited to one app and generally only step in when you write a particular word or ask for help. Because they don’t remember how you use them from one time to the next, they don’t get better or learn any of your preferences.

The current state of the art is Khanmigo, a text-based bot created by Khan Academy. It can tutor students in math, science, and the humanities—for example, it can explain the quadratic formula and create math problems to practice on. It can also help teachers do things like write lesson plans.

Businesses that are separate today—search advertising, social networking with advertising, shopping, productivity software—will become one business.

other issues won’t be decided by companies and governments. For example, agents could affect how we interact with friends and family. Today, you can show someone that you care about them by remembering details about their life—say, their birthday. But when they know your agent likely reminded you about it and took care of sending flowers, will it be as meaningful for them?

In the computing industry, we talk about platforms—the technologies that apps and services are built on. Android, iOS, and Windows are all platforms. Agents will be the next platform.

A shock wave in the tech industry

Agents won’t simply make recommendations; they’ll help you act on them. If you want to buy a camera, you’ll have your agent read all the reviews for you, summarize them, make a recommendation, and place an order for it once you’ve made a decision.

Agents will affect how we use software as well as how it’s written. They’ll replace search sites because they’ll be better at finding information and summarizing it for you

they’ll be dramatically better. You’ll be able to have nuanced conversations with them. They will be much more personalized, and they won’t be limited to relatively simple tasks like writing a letter.

Companies will be able to make agents available for their employees to consult directly and be part of every meeting so they can answer questions.

AI agents that are well trained in mental health will make therapy much more affordable and easier to get. Wysa and Youper are two of the early chatbots here. But agents will go much deeper. If you choose to share enough information with a mental health agent, it will understand your life history and your relationships. It’ll be available when you need it, and it will never get impatient. It could even, with your permission, monitor your physical responses to therapy through your smart watch—like if your heart starts to race when you’re talking about a problem with your boss—and suggest when you should see a human therapist.

If the number of companies that have started working on AI just this year is any indication, there will be an exceptional amount of competition, which will make agents very inexpensive.

Agents are smarter. They’re proactive—capable of making suggestions before you ask for them. They accomplish tasks across applications. They improve over time because they remember your activities and recognize intent and patterns in your behavior. Based on this information, they offer to provide what they think you need, although you will always make the final decisions.

Agents are not only going to change how everyone interacts with computers. They’re also going to upend the software industry, bringing about the biggest revolution in computing since we went from typing commands to tapping on icons.

The most exciting impact of AI agents is the way they will democratize services that today are too expensive for most people

The ramifications for the software business and for society will be profound.

In the next five years, this will change completely. You won’t have to use different apps for different tasks. You’ll simply tell your device, in everyday language, what you want to do. And depending on how much information you choose to share with it, the software will be able to respond personally because it will have a rich understanding of your life. In the near future, anyone who’s online will be able to have a personal assistant powered by artificial intelligence that’s far beyond today’s technology.

You’ll also be able to get news and entertainment that’s been tailored to your interests. CurioAI, which creates a custom podcast on any subject you ask about, is a glimpse of what’s coming.

An agent will be able to help you with all your activities if you want it to. With permission to follow your online interactions and real-world locations, it will develop a powerful understanding of the people, places, and activities you engage in. It will get your personal and work relationships, hobbies, preferences, and schedule. You’ll choose how and when it steps in to help with something or ask you to make a decision.

even the best sites have an incomplete understanding of your work, personal life, interests, and relationships and a limited ability to use this information to do things for you. That’s the kind of thing that is only possible today with another human being, like a close friend or personal assistant.

In the distant future, agents may even force humans to face profound questions about purpose. Imagine that agents become so good that everyone can have a high quality of life without working nearly as much. In a future like that, what would people do with their time? Would anyone still want to get an education when an agent has all the answers? Can you have a safe and thriving society when most people have a lot of free time on their hands?

They’ll have an especially big influence in four areas: health care, education, productivity, and entertainment and shopping.

Following what it described as Meta’s unsatisfactory response to its complaints, Match began canceling Meta advertising for some of its apps, such as Tinder, in October. It has since halted all Reels advertising and stopped promoting its major brands on any of Meta’s platforms. “We have no desire to pay Meta to market our brands to predators or place our ads anywhere near this content,” said Match spokeswoman Justine Sacco.

The Journal set up the test accounts after observing that the thousands of followers of such young people’s accounts often include large numbers of adult men, and that many of the accounts who followed those children also had demonstrated interest in sex content related to both children and adults

The Journal also tested what the algorithm would recommend after its accounts followed some of those users as well, which produced more-disturbing content interspersed with ads.

The Canadian Centre for Child Protection, a child-protection group, separately ran similar tests on its own, with similar results.

Meta said the Journal’s tests produced a manufactured experience that doesn’t represent what billions of users see. The company declined to comment on why the algorithms compiled streams of separate videos showing children, sex and advertisements, but a spokesman said that in October it introduced new brand safety tools that give advertisers greater control over where their ads appear, and that Instagram either removes or reduces the prominence of four million videos suspected of violating its standards each month. 

The Journal reported in June that algorithms run by Meta, which owns both Facebook and Instagram, connect large communities of users interested in pedophilic content. The Meta spokesman said a task force set up after the Journal’s article has expanded its automated systems for detecting users who behave suspiciously, taking down tens of thousands of such accounts each month. The company also is participating in a new industry coalition to share signs of potential child exploitation.

“Our systems are effective at reducing harmful content, and we’ve invested billions in safety, security and brand suitability solutions,” said Samantha Stetson, a Meta vice president who handles relations with the advertising industry. She said the prevalence of inappropriate content on Instagram is low, and that the company invests heavily in reducing it.

Even before the 2020 launch of Reels, Meta employees understood that the product posed safety concerns, according to former employees.

Robbie McKay, a spokesman for Bumble, said it “would never intentionally advertise adjacent to inappropriate content,” and that the company is suspending its ads across Meta’s platforms.

Meta created Reels to compete with TikTok, the video-sharing platform owned by Beijing-based ByteDance. Both products feed users a nonstop succession of videos posted by others, and make money by inserting ads among them. Both companies’ algorithms show to a user videos the platforms calculate are most likely to keep that user engaged, based on his or her past viewing behavior

The Journal reporters set up the Instagram test accounts as adults on newly purchased devices and followed the gymnasts, cheerleaders and other young influencers. The tests showed that following only the young girls triggered Instagram to begin serving videos from accounts promoting adult sex content alongside ads for major consumer brands, such as one for Walmart that ran after a video of a woman exposing her crotch. 

When the test accounts then followed some users who followed those same young people’s accounts, they yielded even more disturbing recommendations. The platform served a mix of adult pornography and child-sexualizing material, such as a video of a clothed girl caressing her torso and another of a child pantomiming a sex act.

Experts on algorithmic recommendation systems said the Journal’s tests showed that while gymnastics might appear to be an innocuous topic, Meta’s behavioral tracking has discerned that some Instagram users following preteen girls will want to engage with videos sexualizing children, and then directs such content toward them.

Instagram’s system served jarring doses of salacious content to those test accounts, including risqué footage of children as well as overtly sexual adult videos—and ads for some of the biggest U.S. brands.

Preventing the system from pushing noxious content to users interested in it, they said, requires significant changes to the recommendation algorithms that also drive engagement for normal users. Company documents reviewed by the Journal show that the company’s safety staffers are broadly barred from making changes to the platform that might reduce daily active users by any measurable amount.

The test accounts showed that advertisements were regularly added to the problematic Reels streams. Ads encouraging users to visit Disneyland for the holidays ran next to a video of an adult acting out having sex with her father, and another of a young woman in lingerie with fake blood dripping from her mouth. An ad for Hims ran shortly after a video depicting an apparently anguished woman in a sexual situation along with a link to what was described as “the full video.”

Current and former Meta employees said in interviews that the tendency of Instagram algorithms to aggregate child sexualization content from across its platform was known internally to be a problem. Once Instagram pigeonholes a user as interested in any particular subject matter, they said, its recommendation systems are trained to push more related content to them.

Part of the problem is that automated enforcement systems have a harder time parsing video content than text or still images. Another difficulty arises from how Reels works: Rather than showing content shared by users’ friends, the way other parts of Instagram and Facebook often do, Reels promotes videos from sources they don’t follow

In an analysis conducted shortly before the introduction of Reels, Meta’s safety staff flagged the risk that the product would chain together videos of children and inappropriate content, according to two former staffers. Vaishnavi J, Meta’s former head of youth policy, described the safety review’s recommendation as: “Either we ramp up our content detection capabilities, or we don’t recommend any minor content,” meaning any videos of children.

At the time, TikTok was growing rapidly, drawing the attention of Instagram’s young users and the advertisers targeting them. Meta didn’t adopt either of the safety analysis’s recommendations at that time, according to J.

Stetson, Meta’s liaison with digital-ad buyers, disputed that Meta had neglected child safety concerns ahead of the product’s launch. “We tested Reels for nearly a year before releasing it widely, with a robust set of safety controls and measures,” she said. 

After initially struggling to maximize the revenue potential of its Reels product, Meta has improved how its algorithms recommend content and personalize video streams for users

Among the ads that appeared regularly in the Journal’s test accounts were those for “dating” apps and livestreaming platforms featuring adult nudity, massage parlors offering “happy endings” and artificial-intelligence chatbots built for cybersex. Meta’s rules are supposed to prohibit such ads.

The Journal informed Meta in August about the results of its testing. In the months since then, tests by both the Journal and the Canadian Centre for Child Protection show that the platform continued to serve up a series of videos featuring young children, adult content and apparent promotions for child sex material hosted elsewhere. 

As of mid-November, the center said Instagram is continuing to steadily recommend what the nonprofit described as “adults and children doing sexual posing.”

Meta hasn’t offered a timetable for resolving the problem or explained how in the future it would restrict the promotion of inappropriate content featuring children. 

The Journal’s test accounts found that the problem even affected Meta-related brands. Ads for the company’s WhatsApp encrypted chat service and Meta’s Ray-Ban Stories glasses appeared next to adult pornography. An ad for Lean In Girls, the young women’s empowerment nonprofit run by former Meta Chief Operating Officer Sheryl Sandberg, ran directly before a promotion for an adult sex-content creator who often appears in schoolgirl attire. Sandberg declined to comment. 

Through its own tests, the Canadian Centre for Child Protection concluded that Instagram was regularly serving videos and pictures of clothed children who also appear in the National Center for Missing and Exploited Children’s digital database of images and videos confirmed to be child abuse sexual material. The group said child abusers often use the images of the girls to advertise illegal content for sale in dark-web forums.

The nature of the content—sexualizing children without generally showing nudity—reflects the way that social media has changed online child sexual abuse, said Lianna McDonald, executive director for the Canadian center. The group has raised concerns about the ability of Meta’s algorithms to essentially recruit new members of online communities devoted to child sexual abuse, where links to illicit content in more private forums proliferate.

“Time and time again, we’ve seen recommendation algorithms drive users to discover and then spiral inside of these online child exploitation communities,” McDonald said, calling it disturbing that ads from major companies were subsidizing that process.

What Ministry and other Robinson books do is make us slow down the apocalyptic highlight reel, letting the story play in human time for years, decades, centuries.

he wants leftists to set aside their differences, and put a “time stamp on [their] political view” that recognizes how urgent things are. Looking back from 2050 leaves little room for abstract idealism. Progressives need to form “a united front,” he told me. “It’s an all-hands-on-deck situation; species are going extinct and biomes are dying. The catastrophes are here and now, so we need to make political coalitions.”

he does want leftists – and everyone else – to take the climate emergency more seriously. He thinks every big decision, every technological option, every political opportunity, warrants climate-oriented scientific scrutiny. Global justice demands nothing less.

He wants to legitimize geoengineering, even in forms as radical as blasting limestone dust into the atmosphere for a few years to temporarily dim the heat of the sun

Robinson believes that once progressives internalize the insight that the economy is a social construct just like anything else, they can determine – based on the contemporary balance of political forces, ecological needs, and available tools – the most efficient methods for bringing carbon and capital into closer alignment.

We live in a world where capitalist states and giant companies largely control science.

Yes, we need to consider technologies with an open mind. That includes a frank assessment of how the interests of the powerful will shape how technologies develop

Robinson’s imagined future suggests a short-term solution that fits his dreams of a democratic, scientific politics: planning, of both the economy and planet.

it’s borrowed from Robinson’s reading of ecological economics. That field’s premise is that the economy is embedded in nature – that its fundamental rules aren’t supply and demand, but the laws of physics, chemistry, biology.

The upshot of Robinson’s science fiction is understanding that grand ecologies and human economies are always interdependent.

Robinson seems to be urging all of us to treat every possible technological intervention – from expanding nuclear energy, to pumping meltwater out from under glaciers, to dumping iron filings in the ocean – from a strictly scientific perspective: reject dogma, evaluate the evidence, ignore the profit motive.

Robinson’s elegant solution, as rendered in Ministry, is carbon quantitative easing. The idea is that central banks invent a new currency; to earn the carbon coins, institutions must show that they’re sucking excess carbon down from the sky. In his novel, this happens thanks to a series of meetings between United Nations technocrats and central bankers. But the technocrats only win the arguments because there’s enough rage, protest and organizing in the streets to force the bankers’ hand.

Seen from Mars, then, the problem of 21st-century climate economics is to sync public and private systems of capital with the ecological system of carbon.

Success will snowball; we’ll democratically plan more and more of the eco-economy.

Robinson thus gets that climate politics are fundamentally the politics of investment – extremely big investments. As he put it to me, carbon quantitative easing isn’t the “silver bullet solution,” just one of several green investment mechanisms we need to experiment with.

Robinson shares the great anarchist dream. “Everybody on the planet has an equal amount of power, and comfort, and wealth,” he said. “It’s an obvious goal” but there’s no shortcut.

In his political economy, like his imagined settling of Mars, Robinson tries to think like a bench scientist – an experimentalist, wary of unifying theories, eager for many groups to try many things.

there’s something liberating about Robinson’s commitment to the scientific method: reasonable people can shed their prejudices, consider all the options and act strategically.

The years ahead will be brutal. In Ministry, tens of millions of people die in disasters – and that’s in a scenario that Robinson portrays as relatively optimistic

when things get that bad, people take up arms. In Ministry’s imagined future, the rise of weaponized drones allows shadowy environmentalists to attack and kill fossil capitalists. Many – including myself – have used the phrase “eco-terrorism” to describe that violence. Robinson pushed back when we talked. “What if you call that resistance to capitalism realism?” he asked. “What if you call that, well, ‘Freedom fighters’?”

Robinson insists that he doesn’t condone the violence depicted in his book; he simply can’t imagine a realistic account of 21st century climate politics in which it doesn’t occur.

Malm writes that it’s shocking how little political violence there has been around climate change so far, given how brutally the harms will be felt in communities of color, especially in the global south, who bear no responsibility for the cataclysm, and where political violence has been historically effective in anticolonial struggles.

In Ministry, there’s a lot of violence, but mostly off-stage. We see enough to appreciate Robinson’s consistent vision of most people as basically thoughtful: the armed struggle is vicious, but its leaders are reasonable, strategic.

the implications are straightforward: there will be escalating violence, escalating state repression and increasing political instability. We must plan for that too.

maybe that’s the tension that is Ministry’s greatest lesson for climate politics today. No document that could win consensus at a UN climate summit will be anywhere near enough to prevent catastrophic warming. We can only keep up with history, and clearly see what needs to be done, by tearing our minds out of the present and imagining more radical future vantage points

If millions of people around the world can do that, in an increasingly violent era of climate disasters, those people could generate enough good projects to add up to something like a rational plan – and buy us enough time to stabilize the climate, while wresting power from the 1%.

Robinson’s optimistic view is that human nature is fundamentally thoughtful, and that it will save us – that the social process of arguing and politicking, with minds as open as we can manage, is a project older than capitalism, and one that will eventually outlive it

It’s a perspective worth thinking about – so long as we’re also organizing.

Daniel Aldana Cohen is assistant professor of sociology at the University of California, Berkeley, where he directs the Socio-Spatial Climate Collaborative. He is the co-author of A Planet to Win: Why We Need a Green New Deal

Above all, the manual emphasized efficiency. Managers were told to answer DMs in less than five minutes, since users were coming to OnlyFans for immediate gratification and would go elsewhere if ignored. It encouraged the creation of keyboard shortcuts, so that managers could deploy an arsenal of rote sexual phrases with a few keystrokes, steering conversations toward the hard sell. It also outlined a series of strategies to boost engagement on the pages, including a gambit in which models would offer to rate a picture of a subscriber’s penis for a fee.

“Every page needs to have an established back story to make the person seem more believable,” it stated. OnlyFans works because people pay for a connection that feels deeper than porn. The document encouraged Ekko’s employees, called page managers, to identify “big spenders” who would part ways with more than $200 in short order, and cultivate a deep rapport by asking about their life and what they do for a living.

This can be extremely time-consuming: In an interview with this magazine last year, an OnlyFans creator said she spends six hours a day just sexting with subscribers. But these relationships are important to cultivate. In a blog post on its website, OnlyFans encourages creators to cater to their “superfans,” who pay for custom content and will “give more if they feel they’re getting something special.”

But all of them take advantage of the same raw materials: the endless reproducibility of digital images; the widespread global availability of cheap English-speaking labor; and the world’s unquenchable desire for companionship.

The key to this business model is the ready availability of cheap English-speaking labor around the globe. Job postings for OnlyFans chatters are widespread on freelance sites like Upwork, many offering as little as $3 an hour. Agency heads told me they’ve hired workers from Eastern Europe, Africa and all across Southeast Asia. “At the end of the day, it is a geo-arbitrage business,”

This phenomenon is part of a broader boom in homespun online businesses that connect cheap developing-world labor with American consumers, allowing the proprietor to step back and reap the profits

During his stint as a chatter, Andre has become intimately familiar with the quirks and desires of the subscribers. Over time, he’s learned something of a sex-work cliché: More than sexual gratification, he said, many of the guys just want someone to talk to

Microsoft leaders felt “enormous urgency” for it to be the company to bring this technology to market, because others around the world are working on similar tech but might not have the resources or inclination to build it as responsibly, says Sarah Bird, a leader on Microsoft’s responsible AI team.

One common starting point for such models is what is essentially a download or “scrape” of most of the internet. In the past, these language models were used to try to understand text, but the new generation of them, part of the revolution in “generative” AI, uses those same models to create texts by trying to guess, one word at a time, the most likely word to come next in any given sequence.

Wide-scale testing gives Microsoft and OpenAI a big competitive edge by enabling them to gather huge amounts of data about how people actually use such chatbots. Both the prompts users input into their systems, and the results their AIs spit out, can then be fed back into a complicated system—which includes human content moderators paid by the companies—to improve it.

, being first to market with a chat-based AI gives these companies a huge initial lead over companies that have been slower to release their own chat-based AIs, such as Google.

rarely has an experiment like Microsoft and OpenAI’s been rolled out so quickly, and at such a broad scale.

Among those who build and study these kinds of AIs, Mr. Altman’s case for experimenting on the global public has inspired responses ranging from raised eyebrows to condemnation.

The fact that we’re all guinea pigs in this experiment doesn’t mean it shouldn’t be conducted, says Nathan Lambert, a research scientist at the AI startup Huggingface.

“I would kind of be happier with Microsoft doing this experiment than a startup, because Microsoft will at least address these issues when the press cycle gets really bad,” says Dr. Lambert. “I think there are going to be a lot of harms from this kind of AI, and it’s better people know they are coming,” he adds.

Others, particularly those who study and advocate for the concept of “ethical AI” or “responsible AI,” argue that the global experiment Microsoft and OpenAI are conducting is downright dangerous

Celeste Kidd, a professor of psychology at University of California, Berkeley, studies how people acquire knowledge

Her research has shown that people learning about new things have a narrow window in which they form a lasting opinion. Seeing misinformation during this critical initial period of exposure to a new concept—such as the kind of misinformation that chat-based AIs can confidently dispense—can do lasting harm, she says.

Dr. Kidd likens OpenAI’s experimentation with AI to exposing the public to possibly dangerous chemicals. “Imagine you put something carcinogenic in the drinking water and you were like, ‘We’ll see if it’s carcinogenic.’ After, you can’t take it back—people have cancer now,”

Part of the challenge with AI chatbots is that they can sometimes simply make things up. Numerous examples of this tendency have been documented by users of both ChatGPT and OpenA

These models also tend to be riddled with biases that may not be immediately apparent to users. For example, they can express opinions gleaned from the internet as if they were verified facts

When millions are exposed to these biases across billions of interactions, this AI has the potential to refashion humanity’s views, at a global scale, says Dr. Kidd.

OpenAI has talked publicly about the problems with these systems, and how it is trying to address them. In a recent blog post, the company said that in the future, users might be able to select AIs whose “values” align with their own.

“We believe that AI should be a useful tool for individual people, and thus customizable by each user up to limits defined by society,” the post said.

Eliminating made-up information and bias from chat-based search engines is impossible given the current state of the technology, says Mark Riedl, a professor at Georgia Institute of Technology who studies artificial intelligence

He believes the release of these technologies to the public by Microsoft and OpenAI is premature. “We are putting out products that are still being actively researched at this moment,” he adds. 

in other areas of human endeavor—from new drugs and new modes of transportation to advertising and broadcast media—we have standards for what can and cannot be unleashed on the public. No such standards exist for AI, says Dr. Riedl.

To modify these AIs so that they produce outputs that humans find both useful and not-offensive, engineers often use a process called “reinforcement learning through human feedback.

that’s a fancy way of saying that humans provide input to the raw AI algorithm, often by simply saying which of its potential responses to a query are better—and also which are not acceptable at all.

Microsoft’s and OpenAI’s globe-spanning experiments on millions of people are yielding a fire hose of data for both companies. User-entered prompts and the AI-generated results are fed back through a network of paid human AI trainers to further fine-tune the models,

Huggingface’s Dr. Lambert says that any company, including his own, that doesn’t have this river of real-world usage data helping it improve its AI is at a huge disadvantage

In chatbots, in some autonomous-driving systems, in the unaccountable AIs that decide what we see on social media, and now, in the latest applications of AI, again and again we are the guinea pigs on which tech companies are testing new technology.

It may be the case that there is no other way to roll out this latest iteration of AI—which is already showing promise in some areas—at scale. But we should always be asking, at times like these: At what price?

hose promises have also fueled anxiety over how people will be able to compete for jobs outsourced to eerily refined machines or trust the accuracy of what they see online.

Officials with the San Francisco lab said GPT-4’s “multimodal” training across text and images would allow it to escape the chat box and more fully emulate a world of color and imagery, surpassing ChatGPT in its “advanced reasoning capabilities.”

A person could upload an image and GPT-4 could caption it for them, describing the objects and scene.

AI language models often confidently offer wrong answers because they are designed to spit out cogent phrases, not actual facts. And because they have been trained on internet text and imagery, they have also learned to emulate human biases of race, gender, religion and class.

GPT-4 still makes many of the errors of previous versions, including “hallucinating” nonsense, perpetuating social biases and offering bad advice. It also lacks knowledge of events that happened after about September 2021, when its training data was finalized, and “does not learn from its experience,” limiting people’s ability to teach it new things.

Microsoft has invested billions of dollars in OpenAI in the hope its technology will become a secret weapon for its workplace software, search engine and other online ambitions. It has marketed the technology as a super-efficient companion that can handle mindless work and free people for creative pursuits, helping one software developer to do the work of an entire team or allowing a mom-and-pop shop to design a professional advertising campaign without outside help.

it could lead to business models and creative ventures no one can predict.

sparked criticism that the companies are rushing to exploit an untested, unregulated and unpredictable technology that could deceive people, undermine artists’ work and lead to real-world harm.

the company held back the feature to better understand potential risks. As one example, she said, the model might be able to look at an image of a big group of people and offer up known information about them, including their identities — a possible facial recognition use case that could be used for mass surveillance.

OpenAI researchers wrote, “As GPT-4 and AI systems like it are adopted more widely,” they “will have even greater potential to reinforce entire ideologies, worldviews, truths and untruths, and to cement them or lock them in.”

“We can agree as a society broadly on some harms that a model should not contribute to,” such as building a nuclear bomb or generating child sexual abuse material, she said. “But many harms are nuanced and primarily affect marginalized groups,” she added, and those harmful biases, especially across other languages, “cannot be a secondary consideration in performance.”

OpenAI said its new model would be able to handle more than 25,000 words of text, a leap forward that could facilitate longer conversations and allow for the searching and analysis of long documents.

OpenAI developers said GPT-4 was more likely to provide factual responses and less likely to refuse harmless requests

Duolingo, the language learning app, has already used GPT-4 to introduce new features, such as an AI conversation partner and a tool that tells users why an answer was incorrect.

The company did not share evaluations around bias that have become increasingly common after pressure from AI ethicists.

GPT-4 will have competition in the growing field of multisensory AI. DeepMind, an AI firm owned by Google’s parent company Alphabet, last year released a “generalist” model named Gato that can describe images and play video games. And Google this month released a multimodal system, PaLM-E, that folded AI vision and language expertise into a one-armed robot on wheels: If someone told it to go fetch some chips, for instance, it could comprehend the request, wheel over to a drawer and choose the right bag.

The systems, though — as critics and the AI researchers are quick to point out — are merely repeating patterns and associations found in their training data without a clear understanding of what it’s saying or when it’s wrong.

GPT-4, the fourth “generative pre-trained transformer” since OpenAI’s first release in 2018, relies on a breakthrough neural-network technique in 2017 known as the transformer that rapidly advanced how AI systems can analyze patterns in human speech and imagery.

The systems are “pre-trained” by analyzing trillions of words and images taken from across the internet: news articles, restaurant reviews and message-board arguments; memes, family photos and works of art.

Giant supercomputer clusters of graphics processing chips are mapped out their statistical patterns — learning which words tended to follow each other in phrases, for instance — so that the AI can mimic those patterns, automatically crafting long passages of text or detailed images, one word or pixel at a time.

In 2019, the company refused to publicly release GPT-2, saying it was so good they were concerned about the “malicious applications” of its use, from automated spam avalanches to mass impersonation and disinformation campaigns.

Altman has also marketed OpenAI’s vision with the aura of science fiction come to life. In a blog post last month, he said the company was planning for ways to ensure that “all of humanity” benefits from “artificial general intelligence,” or AGI — an industry term for the still-fantastical idea of an AI superintelligence that is generally as smart as, or smarter than, the humans themselves.

many corporate technology chiefs have taken a wait-and-see approach to the technology, which has developed a reputation for producing false, misleading and unintelligible results—dubbed AI ‘hallucinations’. 

Though ChatGPT, which is available free online, is considered a consumer app, OpenAI has encouraged companies and startups to build apps on top of its language models—in part by providing access to the underlying computer code for a fee.

here are “certain spaces where it’s clearly directly applicable,” such as summarizing documents or responding to customer queries. Many startups are racing to apply the technology to a wider set of enterprise use case

“I think it’s going to creep into our lives in ways we least expect it,” Mr. Casado said.

What happened in 2012, when the oldest Gen-Z babies were in their middle teens? That was the year Facebook acquired Instagram and young people flocked to the latter site. It was also “the beginning of the selfie era.”

Mr. Haidt’s research, confirmed by that of others, shows that depression rates started to rise “all of a sudden” around 2013, “especially for teen girls,” but “it’s only Gen Z, not the older generations.” If you’d stopped collecting data in 2011, he says, you’d see little change from previous years. “By 2015 it’s an epidemic.” (His data are available in an open-source document.)

Mr. Haidt imagines “literally launching our children into outer space” and letting their bodies grow there: “They would come out deformed and broken. Their limbs wouldn’t be right. You can’t physically grow up in outer space. Human bodies can’t do that.” Yet “we basically do that to them socially. We launched them into outer space around the year 2012,” he says, “and then we expect that they will grow up normally without having normal human experiences.”

He calls this phenomenon “compare and despair” and says: “It seems social because you’re communicating with people. But it’s performative. You don’t actually get social relationships. You get weak, fake social links.”

That meant the first social-media generation was one of “weakened kids” who “hadn’t practiced the skills of adulthood in a low-stakes environment” with other children. They were deprived of “the normal toughening, the normal strengthening, the normal anti-fragility.

Now, their childhood “is largely just through the phone. They no longer even hang out together.” Teenagers even drive less than earlier generations did.

Mr. Haidt especially worries about girls. By 2020 more than 25% of female teenagers had “a major depression.” The comparable number for boys was just under 9%.

The comparable numbers for millennials at the same age registered at half the Gen-Z rate: about 13% for girls and 5% for boys. “Kids are on their devices all the time,”

Most girls, by contrast, are drawn to “visual platforms,” Instagram and TikTok in particular. “Those are about display and performance. You post your perfect life, and then you flip through the photos of other girls who have a more perfect life, and you feel depressed.

Mr. Haidt says he has no antipathy toward the young, and he calls millennials “amazing.”

“Social media is incompatible with liberal democracy because it has moved conversation, and interaction, into the center of the Colosseum. We’re not there to talk to each other. We’re there to perform” before spectators who “want blood.”

To illustrate his point about Gen Z, Mr. Haidt challenges people to name young people today who are “really changing the world, who are doing big things that have an impact beyond their closed ecosystem.”

He can think of only two, neither of them American: Greta Thunberg, 19, the Swedish climate militant, and Malala Yousafzai, 25, the Pakistani advocate for female education

I’m predicting that they will be less effective, less impactful, than previous generations.” Why? “You should always keep your eye on whether people are in ‘discover mode’ or ‘defend mode.’ ” In the former mode, you seize opportunities to be creative. In the latter, “you’re not creative, you’re not future-thinking, you’re focused on threats in the present.”

University students who matriculated starting in 2014 or so have arrived on campus in defend mode: “Here they are in the safest, most welcoming, most inclusive, most antiracist places on the planet, but many of them were acting like they were entering some sort of dystopian, threatening, immoral world.”

56% of liberal women 18 to 29 responded affirmatively to the question: Has a doctor or other healthcare provider ever told you that you have a mental health condition? “Some of that,” Mr. Haidt says, “has to be just self-presentational,” meaning imagined.

This new ideology . . . valorizes victimhood. And if your sub-community motivates you to say you have an anxiety disorder, how is this going to affect you for the rest of your life?” He answers his own question: “You’re not going to take chances, you’re going to ask for accommodations, you’re going to play it safe, you’re not going to swing for the fences, you’re not going to start your own company.”

Whereas millennial women are doing well, “Gen-Z women, because they’re so anxious, are going to be less successful than Gen-Z men—and that’s saying a lot, because Gen-Z men are messed up, too.”

The problem, he says, is distinct to the U.S. and other English-speaking developed countries: “You don’t find it as much in Europe, and hardly at all in Asia.” Ideas that are “nurtured around American issues of race and gender spread instantly to the U.K. and Canada. But they don’t necessarily spread to France and Germany, China and Japan.”

something I hear from a lot of managers, that it’s very difficult to supervise their Gen-Z employees, that it’s very difficult to give them feedback.” That makes it hard for them to advance professionally by learning to do their jobs better.

“this could severely damage American capitalism.” When managers are “afraid to speak up honestly because they’ll be shamed on Twitter or Slack, then that organization becomes stupid.” Mr. Haidt says he’s “seen a lot of this, beginning in American universities in 2015. They all got stupid in the same way. They all implemented policies that backfire.”

Mr. Haidt, who describes himself as “a classical liberal like John Stuart Mill,” also laments the impact of social media on political discourse

Social media and selfies hit a generation that had led an overprotected childhood, in which the age at which children were allowed outside on their own by parents had risen from the norm of previous generations, 7 or 8, to between 10 and 12.

Is there a solution? “I’d raise the age of Internet adulthood to 16,” he says—“and enforce it.”

By contrast, “life went onto phone-based apps 10 years ago, and the protections we have for children are zero, absolutely zero.” The damage to Generation Z from social media “so vastly exceeds the damage from Covid that we’re going to have to act.”

Gen Z, he says, “is not in denial. They recognize that this app-based life is really bad for them.” He reports that they wish they had childhoods more like those of their parents, in which they could play outside and have adventur

In every group chat, no matter the size, participants fall into informal roles. There is usually a leader—a person whose posting frequency drives the group or sets the agenda. Often, there are lurkers who rarely chime in

Larger group chats are not immune to the more toxic dynamics of social media, where competition for attention and herd behavior cause infighting, splintering, and back-channeling.

It’s enough to make one think, as the writer Max Read argued, that “venture-capitalist group chats are a threat to the global economy.” Now you might also say they are a threat to national security.

thanks to the private nature of the group chats, this information largely stayed out of the public eye. As Bloomberg reported, “By the time most people figured out that a bank run was a possibility … it was already well underway.”

The investor panic that led to the swift collapse of Silicon Valley Bank in March was effectively caused by runaway group-chat dynamics. “It wasn’t phone calls; it wasn’t social media,” a start-up founder told Bloomberg in March. “It was private chat rooms and message groups.

Unlike traditional social media or even forums and message boards, group chats are nearly impossible to monitor.

as our digital social lives start to splinter off from feeds and large audiences and into siloed areas, a different kind of unpredictability and chaos awaits. Where social networks create a context collapse—a process by which information meant for one group moves into unfamiliar networks and is interpreted by outsiders—group chats seem to be context amplifiers

group chats provide strong relationship dynamics, and create in-jokes and lore. For decades, researchers have warned of the polarizing effects of echo chambers across social networks; group chats realize this dynamic fully.

Weird things happen in echo chambers. Constant reinforcement of beliefs or ideas might lead to group polarization or radicalization. It may trigger irrational herd behavior such as, say, attempting to purchase a copy of the Constitution through a decentralized autonomous organization

Obsession with in-group dynamics might cause people to lose touch with the reality outside the walls of a particular community; the private-seeming nature of a closed group might also lull participants into a false sense of security, as it did with Teixiera.

the age of the group chat appears to be at least as unpredictable, swapping a very public form of volatility for a more siloed, incalculable version

One calculation performed by an audience demographics firm found 32 million connections to male followers among the 5,000 accounts examined by The Times.

Interacting with the men opens the door to abuse. Some flatter, bully and blackmail girls and their parents to get racier and racier images. The Times monitored separate exchanges on Telegram, the messaging app, where men openly fantasize about sexually abusing the children they follow on Instagram and extol the platform for making the images so readily available.

The so-called creator economy surpasses $250 billion worldwide, according to Goldman Sachs, with U.S. brands spending more than $5 billion a year on influencers.

The troubling interactions on Instagram come as social media companies increasingly dominate the cultural landscape and the internet is seen as a career path of its own.

Nearly one in three preteens lists influencing as a career goal, and 11 percent of those born in Generation Z, between 1997 and 2012, describe themselves as influencers.

“It’s like a candy store

Health and technology experts have recently cautioned that social media presents a “profound risk of harm” for girls. Constant comparisons to their peers and face-altering filters are driving negative feelings of self-worth and promoting objectification of their bodies, researchers found.

he pursuit of online fame, particularly through Instagram, has supercharged the often toxic phenomenon, The Times found, encouraging parents to commodify their children’s images. Some of the child influencers earn six-figure incomes, according to interviews.