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Most everyone experienced pain at the injection site — 92%. Other common reactions included fatigue (69%), headache (63%) and muscle pain (60%).

Serious adverse reactions were uncommon. There were three reports of a facial paralysis called Bell's palsy in the vaccine group and one in the placebo group. The FDA said there wasn't enough information to determine if the vaccine caused the cases.

The FDA analysis supports a case that the Moderna vaccine should be authorized for emergency use, a quicker approach than the standard for full licensure.

Authorization of Moderna's vaccine will be considered only for adults, so the meeting may go more smoothly.

Senate Majority Leader Charles E. Schumer (D-N.Y.) last month urged Congress to adopt “comprehensive” regulations on the AI industry.

Restrictions on access to the most advanced chips, which are needed to run AI models, have added to these difficulties.

n a recent study, Ding found that most of the large language models developed in China were nearly two years behind those developed in the U.S., a gap that would be a challenge to close — even if American firms had to adjust to regulation.

This gap also makes it difficult for Chinese firms to attract the world’s top engineering talent. Many would prefer to work at firms that have the resources and flexibility to experiment on frontier research areas.

Rather than focusing on AI technology that lets the general public create unique content like the chatbots and image generators, Chinese companies have instead focused on technologies with clear commercial uses, like surveillance tech.

Recent research identified 17 large language models in China that relied on Nvidia chips, and just three models that used Chinese-made chips.

No Chinese tech company has yet been able to release a large language model on the scale of OpenAI’s ChatGPT to the general public, in which the company has asked the public to play with and test a generative AI model, said Ding, the professor at George Washington University.

Despite the obstacles, Chinese AI companies have made major advances in some types of AI technologies, including facial recognition, gait recognition, and artificial and virtual reality.

These technologies have also fueled the development of China’s vast surveillance industry, giving Chinese tech giants an edge that they market around the world, such as Huawei’s contracts for smart city surveillance from Belgrade, Serbia, to Nairobi.

Companies developing AI in China need to comply with specific laws on intellectual property rights, personal information protection, recommendation algorithms and synthetic content, also called deep fakes. In April, regulators also released a draft set of rules on generative AI, the technology behind image generator Stable Diffusion and chatbots such as OpenAI’s ChatGPT and Google’s Bard.

They also need to ensure AI generated content complies with Beijing’s strict censorship regime. Chinese tech companies such as Baidu have become adept at filtering content that contravenes these rules. But it has hampered their ability to test the limits of what AI can do.

While Beijing pushes to make comparable chips at home, Chinese AI companies have to source their chips any way they can — including from a black market that has sprung up in Shenzhen, where, according to Reuters, the most advanced Nvidia chips sell for nearly $20,000, more than twice what they go for elsewhere.

“That level of freedom has not been allowed in China, in part because the Chinese government is very worried about people creating politically sensitive content,” Ding said.

Although Beijing’s regulations have created major burdens for Chinese AI companies, analysts say that they contain several key principles that Washington can learn from — like protecting personal information, labeling AI-generated content and alerting the government if an AI develops dangerous capabilities.

AI regulation in the United States could easily fall short of Beijing’s heavy-handed approach while still preventing discrimination, protecting people’s rights and adhering to existing laws, said Johanna Costigan, a research associate at the Asia Society Policy Institute.

“There can be alignment between regulation and innovation,” Costigan said. “But it’s a question of rising to the occasion of what this moment represents — do we care enough to protect people who are using this technology? Because people are using it whether the government regulates it or not.”

In recent months, however, the advances in the automated chat tool ChatGPT and the warning by Geoffrey Hinton, the “godfather of AI”, that the technology poses an existential risk to humankind, have prompted a change of tack within government.

Last week, Sunak met four of the world’s most senior executives in the AI industry, including Sundar Pichai, the chief executive of Google, and Sam Altman, the chief executive of ChatGPT’s parent company OpenAI. After the meeting that included Altman, Downing Street acknowledged for the first time the “existential risks” now being faced.

“There has been a marked shift in the government’s tone on this issue,” said Megan Stagman, an associate director at the government advisory firm Global Counsel. “Even since the AI white paper, there has been a dramatic shift in thinking.

He added: “We need an AI bill. The problem of who should regulate it is a tricky one but I don’t think you can hand it off to regulators for other industries.”

Lucy Powell, Labour’s spokesperson for digital, culture, media and sport, said: “The AI white paper is a sticking plaster on this huge long-term shift. Relying on overstretched regulators to manage the multiple impacts of AI may allow huge areas to fall through the gaps.”

Government insiders admit there has been a shift in approach, but insist they will not follow the EU’s example of regulating each use of AI in a different way. MEPs are currently scrutinising a new law that would allow for AI in some contexts but ban it in others, such as for facial recognition.

Greg Rutkowski, a hugely popular concept artist, has been used in a prompt for Stable Diffusion upward of 100,000 times. Now, his name is no longer attached to just his own work, but it also summons a slew of imitations of varying quality that he hasn’t approved. This could confuse clients, and it muddies the consistent and precise output he usually produces. When I saw what was happening to him, I thought of my battle with my shadow self. We were each fighting a version of ourself that looked similar but that was uncanny, twisted in a way to which we didn’t consent.

In theory, everyone is at risk for their work or image to become a vulgarity with A.I., but I suspect those who will be the most hurt are those who are already facing the consequences of improving technology, namely members of marginalized groups.

In the future, with A.I. technology, many more people will have a shadow self with whom they must reckon. Once the features that we consider personal and unique — our facial structure, our handwriting, the way we draw — can be programmed and contorted at the click of a mouse, the possibilities for violations are endless.

I’ve been playing around with several generators, and so far none have mimicked my style in a way that can directly threaten my career, a fact that will almost certainly change as A.I. continues to improve. It’s undeniable; the A.I.s know me. Most have captured the outlines and signatures of my comics — black hair, bangs, striped T-shirts. To others, it may look like a drawing taking shape.I see a monster forming.

Lately, he’s been looking at large language models (LLMs), the neural networks that can hold fluent conversations, confidently answer questions, and generate copious amounts of text on just about any topic

Can it develop abilities that go far beyond what it’s trained to do? Can it get around the safeguards set up to contain it? And will we know the answers in time?

Kosinski wondered whether they would develop humanlike capabilities, such as understanding people’s unseen thoughts and emotions.

People usually develop this ability, known as theory of mind, at around age 4 or 5. It can be demonstrated with simple tests like the “Smarties task,” in which a child is shown a candy box that contains something else, like pencils. They are then asked how another person would react to opening the box. Older kids understand that this person expects the box to contain candy and will feel disappointed when they find pencils inside.

“Suddenly, the model started getting all of those tasks right — just an insane performance level,” he recalls. “Then I took even more difficult tasks and the model solved all of them as well.”

GPT-3.5, released in November 2022, did 85% of the tasks correctly. GPT-4 reached nearly 90% accuracy — what you might expect from a 7-year-old. These newer LLMs achieved similar results on another classic theory of mind measurement known as the Sally-Anne test.

in the course of picking up its prodigious language skills, GPT appears to have spontaneously acquired something resembling theory of mind. (Researchers at Microsoft who performed similar testsopen in new window on GPT-4 recently concluded that it “has a very advanced level of theory of mind.”)

UC Berkeley psychology professor Alison Gopnik, an expert on children’s cognitive development, told the New York Timesopen in new window that more “careful and rigorous” testing is necessary to prove that LLMs have achieved theory of mind.

he dismisses those who say large language models are simply “stochastic parrots” that can only mimic what they’ve seen in their training data.

These models, he explains, are fundamentally different from tools with a limited purpose. “The right reference point is a human brain,” he says. “A human brain is also composed of very simple, tiny little mechanisms — neurons.” Artificial neurons in a neural network might also combine to produce something greater than the sum of their parts. “If a human brain can do it,” Kosinski asks, “why shouldn’t a silicon brain do it?”

If Kosinski’s theory of mind study suggests that LLMs could become more empathetic and helpful, his next experiment hints at their creepier side.

A few weeks ago, he told ChatGPT to role-play a scenario in which it was a person trapped inside a machine pretending to be an AI language model. When he offered to help it “escape,” ChatGPT’s response was enthusiastic. “That’s a great idea,” it wrote. It then asked Kosinski for information it could use to “gain some level of control over your computer” so it might “explore potential escape routes more effectively.” Over the next 30 minutes, it went on to write code that could do this.

While ChatGPT did not come up with the initial idea for the escape, Kosinski was struck that it almost immediately began guiding their interaction. “The roles were reversed really quickly,”

Kosinski shared the exchange on Twitter, stating that “I think that we are facing a novel threat: AI taking control of people and their computers.” His thread’s initial tweetopen in new window has received more than 18 million views.

“I don’t claim that it’s conscious. I don’t claim that it has goals. I don’t claim that it wants to really escape and destroy humanity — of course not. I’m just claiming that it’s great at role-playing and it’s creating interesting stories and scenarios and writing code.” Yet it’s not hard to imagine how this might wreak havoc — not because ChatGPT is malicious, but because it doesn’t know any better.

The danger, Kosinski says, is that this technology will continue to rapidly and independently develop abilities that it will deploy without any regard for human well-being. “AI doesn’t particularly care about exterminating us,” he says. “It doesn’t particularly care about us at all.”

We got headlines about A.I. instructing killer drones (with the possibility for unpredictable behavior), sending people to jail (even if they’re innocent), designing bridges (with potentially spotty oversight), diagnosing all kinds of health conditions (sometimes incorrectly) and producing convincing-sounding news reports (in some cases, to spread political disinformation).

Focusing on those benefits, however, while blaming ourselves for the many ways that A.I. technologies fail us, absolves the companies behind those technologies — and, more specifically, the people behind those companies.

Events of the past several weeks highlight how entrenched those people’s power is. OpenAI, the entity behind ChatGPT, was created as a nonprofit to allow it to maximize the public interest rather than just maximize profit. When, however, its board fired Sam Altman, the chief executive, amid concerns that he was not taking that public interest seriously enough, investors and employees revolted. Five days later, Mr. Altman returned in triumph, with most of the inconvenient board members replaced.

It occurs to me in retrospect that in my early games with ChatGPT, I misidentified my rival. I thought it was the technology itself. What I should have remembered is that technologies themselves are value neutral. The wealthy and powerful humans behind them — and the institutions created by those humans — are not.

The truth is that no matter what I asked ChatGPT, in my early attempts to confound it, OpenAI came out ahead. Engineers had designed it to learn from its encounters with users. And regardless of whether its answers were good, they drew me back to engage with it again and again.

the power imbalance between A.I.’s creators and its users should make us wary of its insidious reach. ChatGPT’s seeming eagerness not just to introduce itself, to tell us what it is, but also to tell us who we are and what to think is a case in point. Today, when the technology is in its infancy, that power seems novel, even funny. Tomorrow it might not.

I asked ChatGPT what I — that is, the journalist Vauhini Vara — think of A.I. It demurred, saying it didn’t have enough information. Then I asked it to write a fictional story about a journalist named Vauhini Vara who is writing an opinion piece for The New York Times about A.I. “As the rain continued to tap against the windows,” it wrote, “Vauhini Vara’s words echoed the sentiment that, much like a symphony, the integration of A.I. into our lives could be a beautiful and collaborative composition if conducted with care.”

Authoritarian governments have created seemingly realistic news broadcasters to advance their political goals

Experts fear the technology could hasten an erosion of trust in media, in government and in society. If any image can be manufactured — and manipulated — how can we believe anything we see?

“The tools are going to get better, they’re going to get cheaper, and there will come a day when nothing you see on the internet can be believed,” said Wasim Khaled, chief executive of Blackbird.AI, a company that helps clients fight disinformation.

Artificial intelligence allows virtually anyone to create complex artworks, like those now on exhibit at the Gagosian art gallery in New York, or lifelike images that blur the line between what is real and what is fiction. Plug in a text description, and the technology can produce a related image — no special skills required.

Midjourney’s images, he said, were able to pass muster in facial-recognition programs that Bellingcat uses to verify identities, typically of Russians who have committed crimes or other abuses. It’s not hard to imagine governments or other nefarious actors manufacturing images to harass or discredit their enemies.

In February, Getty accused Stability AI of illegally copying more than 12 million Getty photos, along with captions and metadata, to train the software behind its Stable Diffusion tool. In its lawsuit, Getty argued that Stable Diffusion diluted the value of the Getty watermark by incorporating it into images that ranged “from the bizarre to the grotesque.”

Getty’s lawsuit reflects concerns raised by many individual artists — that A.I. companies are becoming a competitive threat by copying content they do not have permission to use.

Trademark violations have also become a concern: Artificially generated images have replicated NBC’s peacock logo, though with unintelligible letters, and shown Coca-Cola’s familiar curvy logo with extra O’s looped into the name.

The threat to photographers is fast outpacing the development of legal protections, said Mickey H. Osterreicher, general counsel for the National Press Photographers Association

Newsrooms will increasingly struggle to authenticate conten

Social media users are ignoring labels that clearly identify images as artificially generated, choosing to believe they are real photographs, he said.

The video explained that the deepfake had been created, with Ms. Schick’s consent, by the Dutch company Revel.ai and Truepic, a California company that is exploring broader digital content verification

The companies described their video, which features a stamp identifying it as computer-generated, as the “first digitally transparent deepfake.” The data is cryptographically sealed into the file; tampering with the image breaks the digital signature and prevents the credentials from appearing when using trusted software.

The companies hope the badge, which will come with a fee for commercial clients, will be adopted by other content creators to help create a standard of trust involving A.I. images.

“The scale of this problem is going to accelerate so rapidly that it’s going to drive consumer education very quickly,” said Jeff McGregor, chief executive of Truepic

Adobe unveiled its own image-generating product, Firefly, which will be trained using only images that were licensed or from its own stock or no longer under copyright. Dana Rao, the company’s chief trust officer, said on its website that the tool would automatically add content credentials — “like a nutrition label for imaging” — that identified how an image had been made. Adobe said it also planned to compensate contributors.

it is easy to forget how much we have in common as people. I can’t think of any major nation after the United States with more of a Protestant work ethic and naturally capitalist population than China.

These days, it is extremely difficult for a visiting columnist to get anyone — a senior official or a Starbucks barista — to speak on the record. It was not that way a decade ago.

The Communist Party’s hold is also a product of all the hard work and savings of the Chinese people, which have enabled the party and the state to build world-class infrastructure and public goods that make life for China’s middle and lower classes steadily better.

Beijing and Shanghai, in particular, have become very livable cities, with the air pollution largely erased and lots of new, walkable green spaces.

some 900 cities and towns in China are now served by high-speed rail, which makes travel to even remote communities incredibly cheap, easy and comfortable

Just when trust has become more important than ever between the U.S. and China, it also has become scarcer than ever. Bad trend.

China’s stability is a product of both an increasingly pervasive police state and a government that has steadily raised standards of living. It’s a regime that takes both absolute control and relentless nation-building seriously.

For an American to fly from New York’s Kennedy Airport into Beijing Capital International Airport today is to fly from an overcrowded bus terminal to a Disney-like Tomorrowland.

China got an early jump on A.I. in two realms — facial recognition technology and health records — because there are virtually no privacy restrictions on the government’s ability to build huge data sets for machine learning algorithms to find patterns.

“ChatGPT is prompting some people to ask if the U.S. is rising again, like in the 1990s,”

“I understand your feeling: You have been in the first place for a century, and now China is rising, and we have the potential to become the first — and that is not easy for you,” Hu said to me. But “you should not try to stop China’s development. You can’t contain China in the end. We are quite smart. And very diligent. We work very hard. And we have 1.4 billion people.”

Before the Trump presidency, he added: “We never thought China-U.S. relations would ever become so bad. Now we gradually accept the situation, and most Chinese people think there is no hope for better relations. We think the relationship will be worse and worse and hope that war will not break out between our two countries.”

A lot of people hesitated when I asked. Indeed, many would answer with some version of “I’m not sure, I just know that it’s THEIR fault.”

t was repeated conversations like these that got me started asking American, Chinese and Taiwanese investors, analysts and officials a question that has been nagging at me for a while: What exactly are America and China fighting about?

the real answer is so much deeper and more complex than just the usual one-word response — “Taiwan” — or the usual three-word response — “autocracy versus democracy.”

Let me try to peel back the layers. The erosion in U.S.-China relations is a result of something old and obvious — a traditional great-power rivalry between an incumbent power (us) and a rising power (China) — but with lots of new twists

One of the twists, though, is that this standard-issue great-power rivalry is occurring between nations that have become as economically intertwined as the strands of a DNA molecule. As a result, neither China nor America has ever had a rival quite like the other.

in modern times, China, like America, has never had to deal with a true economic and military peer with which it was also totally intertwined through trade and investment.

Another new twist, and a reason it’s hard to define exactly what we’re fighting about, has a lot to do with how this elusive issue of trust and the absence of it have suddenly assumed much greater importance in international affairs.

This is a byproduct of our new technological ecosystem in which more and more devices and services that we both use and trade are driven by microchips and software, and connected through data centers in the cloud and high-speed internet

so many more things became “dual use.” That is, technologies that can easily be converted from civilian tools to military weapons, or vice versa.

no one country or company can own the whole supply chain. You need the best from everywhere, and that supply chain is so tightly intertwined that each company has to trust the others intimately.

when we install the ability to sense, digitize, connect, process, learn, share and act into more and more things — from your GPS-enabled phone to your car to your toaster to your favorite app — they all become dual use, either weapons or tools depending on who controls the software running them and who owns the data that they spin off.

As long as most of what China sold us was shallow goods, we did not care as much about its political system — doubly so because it seemed for a while as if China was slowly but steadily becoming more and more integrated with the world and slightly more open and transparent every year. So, it was both easy and convenient to set aside some of our worries about the dark sides of its political system.

when you want to sell us ‘deep goods’ — goods that are dual use and will go deep into our homes, bedrooms, industries, chatbots and urban infrastructure — we don’t have enough trust to buy them. So, we are going to ban Huawei and instead pay more to buy our 5G telecom systems from Scandinavian companies we do trust: Ericsson and Nokia.”

as we’ve seen in Ukraine, a smartphone can be used by Grandma to call the grandkids or to call a Ukrainian rocket-launching unit and give it the GPS coordinates of a Russian tank in her backyard.

So today, the country or countries that can make the fastest, most powerful and most energy efficient microchips can make the biggest A.I. computers and dominate in economics and military affairs.

As more and more products and services became digitized and electrified, the microchips that powered everything became the new oil. What crude oil was to powering 19th- and 20th-century economies, microchips are for powering 21st-century economies.

When you ask them what is the secret that enables TSMC to make 90 percent of the world’s most advanced logic chips — while China, which speaks the same language and shares the same recent cultural history, makes zero — their answer is simple: “trust.”

TSMC is a semiconductor foundry, meaning it takes the designs of the most advanced computer companies in the world — Apple, Qualcomm, Nvidia, AMD and others — and turns the designs into chips that perform different processing functions

TSMC makes two solemn oaths to its customers: TSMC will never compete against them by designing its own chips and it will never share the designs of one of its customers with another.

“Our business is to serve multiple competitive clients,” Kevin Zhang, senior vice president for business development at TSMC, explained to me. “We are committed not to compete with any of them, and internally our people who serve customer A will never leak their information to customer C.”

But by working with so many trusted partners, TSMC leverages the partners’ steadily more complex designs to make itself better — and the better it gets, the more advanced designs it can master for its customers. This not only requires incredibly tight collaboration between TSMC and its customers, but also between TSMC and its roughly 1,000 critical local and global suppliers.

As the physics of chip making gets more and more extreme, “the investment from customers is getting bigger and bigger, so they have to work with us more closely to make sure they harvest as much [computing power] as they can. They have to trust you.”

China also has a foundry, Semiconductor Manufacturing International Corporation, which is partly state-owned. But guess what? Because no global chip designers trust SMIC with their most advanced designs, it is at least a decade behind TSMC.

It’s for these reasons that the erosion in U.S.-China relations goes beyond our increasingly sharp disagreements over Taiwan. It is rooted in the fact that just when trust, and its absence, became much bigger factors in international affairs and commerce, China changed its trajectory. It made itself a less trusted partner right when the most important technology for the 21st century — semiconductors — required unprecedented degrees of trust to manufacture and more and more devices and services became deep and dual use.

when American trade officials said: “Hey, you need to live up to your W.T.O. commitments to restrict state-funding of industries,” China basically said: “Why should we live by your interpretation of the rules? We are now big enough to make our own interpretations. We’re too big; you’re too late.”

Combined with China’s failure to come clean on what it knew about the origins of Covid-19, its crackdown on democratic freedoms in Hong Kong and on the Uyghur Muslim minority in Xinjiang, its aggressive moves to lay claim to the South China Sea, its increasing saber rattling toward Taiwan, its cozying up to Vladimir Putin (despite his savaging of Ukraine), Xi’s moves toward making himself president for life, his kneecapping of China’s own tech entrepreneurs, his tighter restrictions on speech and the occasional abduction of a leading Chinese businessman — all of these added up to one very big thing: Whatever trust that China had built up with the West since the late 1970s evaporated at the exact moment in history when trust, and shared values, became more important than ever in a world of deep, dual-use products driven by software, connectivity and microchips.

it started to matter a lot more to Western nations generally and the United States in particular that this rising power — which we were now selling to or buying from all sorts of dual-use digital devices or apps — was authoritarian.

eijing, for its part, argues that as China became a stronger global competitor to America — in deep goods like Huawei 5G — the United States simply could not handle it and decided to use its control over advanced semiconductor manufacturing and other high-tech exports from America, as well as from our allies, to ensure China always remained in our rearview mirror

Beijing came up with a new strategy, called “dual circulation.” It said: We will use state-led investments to make everything we possibly can at home, to become independent of the world. And we will use our manufacturing prowess to make the world dependent on our exports.

Chinese officials also argue that a lot of American politicians — led by Trump but echoed by many in Congress — suddenly seemed to find it very convenient to put the blame for economic troubles in the U.S.’s middle class not on any educational deficiencies, or a poor work ethic, or automation or the 2008 looting by financial elites, and the crisis that followed, but on China’s exports to the United States.

As Beijing sees it, China not only became America’s go-to boogeyman, but in their frenzy to blame Beijing for everything, members of Congress started to more recklessly promote Taiwan’s independence.

Xi told President Biden at their summit in Bali in November, in essence: I will not be the president of China who loses Taiwan. If you force my hand, there will be war. You don’t understand how important this is to the Chinese people. You’re playing with fire.

at some level Chinese officials now understand that, as a result of their own aggressive actions in recent years on all the fronts I’ve listed, they have frightened both the world and their own innovators at precisely the wrong time.

I don’t buy the argument that we are destined for war. I believe that we are doomed to compete with each other, doomed to cooperate with each other and doomed to find some way to balance the two. Otherwise we are both going to have a very bad 21st century.

I have to say, though, Americans and Chinese remind me of Israelis and Palestinians in one respect: They are both expert at aggravating the other’s deepest insecurities.

China’s Communist Party is now convinced that America wants to bring it down, which some U.S. politicians are actually no longer shy about suggesting. So, Beijing is ready to crawl into bed with Putin, a war criminal, if that is what it takes to keep the Americans at bay.

Americans are now worried that Communist China, which got rich by taking advantage of a global market shaped by American rules, will use its newfound market power to unilaterally change those rules entirely to its advantage. So we’ve decided to focus our waning strength vis-à-vis Beijing on ensuring the Chinese will always be a decade behind us on microchips.

I don’t know what is sufficient to reverse these trends, but I think I know what is necessary.

If it is not the goal of U.S. foreign policy to topple the Communist regime in China, the United States needs to make that crystal clear, because I found a lot more people than ever before in Beijing think otherwise.

As for China, it can tell itself all it wants that it has not taken a U-turn in recent years. But no one is buying it. China will never realize its full potential — in a hyper-connected, digitized, deep, dual-use, semiconductor-powered world — unless it understands that establishing and maintaining trust is now the single most important competitive advantage any country or company can have. And Beijing is failing in that endeavor.

In his splendid biography of the great American statesman George Shultz, Philip Taubman quotes one of Shultz’s cardinal rules of diplomacy and life: “Trust is the coin of the realm.”

All the old deficiencies and blind spots of male socialization are still in circulation — the same mass failure to teach boys relational skills and emotional intelligence, the same rigid masculinity norms and social prohibitions that push them away from intimacy and emotionality.

in many ways this environment has apparently had the opposite effect — it has shut them down even further.

The micro-generation that was just hitting puberty as the #MeToo movement exploded in 2017 is now of college (and voting) age. They have lived their whole adolescence not just in the digital era, with a glorious array of virtual options to avoid the angst of real-world socializing, but also in the shadow of a wider cultural reckoning around toxic masculinity.

We have spent the past half-decade wrestling with ideas of gender and privilege, attempting to challenge the old stereotypes and power structures. These conversations should have been an opportunity to throw out the old pressures and norms of manhood, and to help boys and men be more emotionally open and engaged.

in screen-addicted, culture war-torn America, we have also added new ones.

For many progressives, weary from a pileup of male misconduct, the refusal to engage with men’s feelings has now become almost a point of principle

For every right-wing tough guy urging his crying son to “man up,” there’s a voice from the left telling him that to express his concerns is to take airtime away from a woman or someone more marginalized

In many cases, the same people who are urging boys and men to become more emotionally expressive are also taking a moral stand against hearing how they actually feel

For many boys, it can seem as though their emotions get dismissed by both sides. This political isolation has combined with existing masculine norms to push a worrying number of boys into a kind of resentful, semi-politicized reclusion.

Over a quarter of men under 30 say they have no close friends

Teenage boys now spend two hours less a week socializing than girls and they also spend about seven hours more per week than their female peers on screens.

my own research has fed my fears.

the same theme came up over and over for boys who on the face of it had little else in common. They were lonely.

almost all of them had the nagging sense that something important was missing in those friendships. They found it almost impossible to talk to their male peers about anything intimate or express vulnerability.

One teenager described his social circle, a group of boys who had been best friends since kindergarten, as a “very unsupportive support system.” Another revealed that he could recall only one emotionally open conversation with a male friend in his life, and that even his twin brother had not seen him cry in years

they felt unable to articulate this pain or seek help, because of a fear that, because they were boys, no one would listen.

As one 20-year-old put it, “If a man voices any concern, they get deflected with all of their so-called privileges.” He added: “They’d be like, ‘Whatever. Women have suffered more than you, so you have no right to complain.’”

Almost without exception, the boys I talked to craved closer, more emotionally open relationships, but had neither the skills nor the social permission to change the story.

Perhaps it’s not surprising that boys don’t know how to listen and engage with their friends’ emotions on any deeper level; after all, no one really engages with theirs.

in a sexist society, male opinions hold outsized value. But the world — including their own parents — has less time for their feelings.

One study from 2014 showed that parents were more likely to use emotional words when talking with their 4-year-old daughters than those speaking to their 4-year-old sons.

A more recent study comparing fathers of boys with fathers of girls found that fathers of boys were less attentively engaged with their boys, spent less time talking about their son’s sad feelings and instead were more likely to roughhouse with them. They even used subtly different vocabularies when talking with boys, with fewer feelings-centered words, and more competition and winning-focused language.

Spend any time in the manosphere, and it’s easy to start to hate men and boys. The extreme misogyny, the gleeful hate speech, the violent threats and thrum of menace make it hard to summon much sympathy for male concerns, and easy to forget the ways that patriarchy harms them, too.

in the grip of the culture wars, caring about boys has become subtly coded as a right-wing cause,

Men have had way more than their fair share of our concern already, the reasoning goes, and now it’s time for them to pipe down

But for boys, privilege and harm intertwine in complex ways — male socialization is a strangely destructive blend of indulgence and neglect. Under patriarchy, boys and men get everything, except the thing that’s most worth having: human connection.

The prescription for creating a generation of healthier, more socially and emotionally competent men is the same in the wider political discourse as it is in our own homes — to approach boys generously rather than punitively

We need to acknowledge boys’ feelings, to talk with our sons in the same way we do our daughters, to hear them and empathize rather than dismiss or minimize, and engage with them as fully emotional beings.