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James Baldwin compared it to the talking drum, used to convey messages across distances that the human voice can’t travel: “It is a music which creates, as what we call History cannot sum up the courage to do, the response to that absolutely universal question: Who am I? What am I doing here?”

it’s difficult not to read “James” as a corrective of Everett’s previous works, if not of its source material. For Jim’s predecessors, freedom requires abstraction: the problem is other people. But Jim’s understanding of freedom is literal. He knows that his happiness depends upon the emancipation of his family. At first, he wields a pencil, but then he exchanges it for a gun.

“The evolution of cooperation required out-group hatred. Which is really sad,” said Nicholas Christakis, a Yale sociologist and author of “Blueprint: The Evolutionary Origins of a Good Society.”

No researcher argues that human nature is the sole, or even the primary, cause of today’s polarization. But savvy political operatives can exploit, leverage and encourage it. And those operatives are learning from their triumphs in divide-and-conquer politics.

“We wouldn’t have civilizations if we didn’t create groups. We are designed to form groups, and the only way to define a group is there has to be someone who’s not in it,” Mason said.

Experiments have revealed that “children as young as two will prefer other children randomly assigned to the same T-shirt color,”

enmity and derision can arise independently of any rational reason for it.

Mason and Christakis point to a famous-among-academics experiment from 1954. Social psychologist Muzafer Sherif took 22 Boy Scouts and separated them into two groups camping at Robbers Cave State Park in Oklahoma. Only after a week did they learn that there was another group at the far end of the campground.

What they did next fascinated the research team. Each group developed irrational contempt for the other. The boys in the other group were seen not just as rivals, but as fundamentally flawed human beings. Only when the two groups were asked to work together to solve a common problem did they warm up to one another.

And because many more districts are now deeply red or blue, rather than a mix of constituencies, House members have fewer reasons to adopt moderate positions.

“Homo sapiens is a social species; group affiliation is essential to our sense of self. Individuals instinctively think of themselves as representing broad socioeconomic and cultural categories rather than as distinctive packages of traits,”

Here’s where psychology gives way to political science. The American political system may cultivate “out-group” hatred, as academics put it. One of the scarce resources in this country is political power at the highest levels of government. The country has no parliamentary system in which multiple parties form governing coalitions.

Add to this fact the redistricting that ensures there are fewer truly competitive congressional races. The two parties have inexorably moved further apart ideologically, and leaders are more likely to be punished — “primaried” — if they reach across the aisle.

Shanto Iyengar, a Stanford political psychologist who coined the term “affective polarization,” explained in a 2018 paper why people typically identify with a group.

Human nature hasn’t changed, but technology has. The fragmentation of the media has made it easier to gather information in an echo chamber, Iyengar said. He calls this “sorting.” Not only do people cluster around specific beliefs or ideas, they physically cluster, moving to neighborhoods where residents are likely to look like them and think like them.

Partisan clustering has increased even within households. In 1965, Iyengar said, only about 60 percent of married couples had the same party registration. Today, the figure is greater than 85 percent

Asked in the summer of 2022 if they agree or disagree that members of the other party “lack the traits to be considered fully human — they behave like animals,” about 30 percent in both parties agreed, Mason’s research shows.

Research shows that affective polarization is intensifying across the political spectrum. Recent survey data revealed that more than half of Republicans and Democrats view the other party as “a threat,” and nearly as many agree with the description of the other party as “evil,” Mason said.

A recent paper published in the journal Science argued that the three core ingredients of political sectarianism are “othering, aversion, and moralization.” Trump has mastered that recipe. He activates emotional responses in his followers by telling them that they are threatened.

Firewalls around the engines, nitrogen pumps in fuel tanks that help prevent immediate burning, and fire-resistant materials on seats and flooring most likely helped to keep the rising flames at bay, said Sonya A. Brown, a senior lecturer in aerospace design at the University of New South Wales in Sydney, Australia.

“Really, the Japan Airlines crew in this case performed extremely well,” Dr. Brown said. The fact that passengers did not stop to retrieve carry-on luggage or otherwise slow down the exit was “really critical,” she added.

Tadayuki Tsutsumi, an official at Japan Airlines, said the most important component of crew performance during an emergency was “panic control” and determining which exit doors were safe to use.

Former flight attendants described the rigorous training and drills that crew members undergo to prepare for emergencies. “When training for evacuation procedures, we repeatedly used smoke/fire simulation to make sure we could be mentally ready when situations like those occurred in reality,” Yoko Chang, a former cabin attendant and an instructor of aspiring crew members, wrote in an Instagram message.

Ms. Chang, who did not work for JAL, added that airlines require cabin crew members to pass evacuation exams every six months.

Anecdotally, it seems like everybody knows someone who has dropped out of the mainstream, vowing to vote for the AfD or talking about emigrating

What has started to dawn on us in recent months, and what the meeting in Potsdam laid bare, is that the far right is not about having horrific ideas — it is about enacting horrific ideas.

Germany’s far-right adherents really mean it. With funding, support and a very real chance of winning federal states this year, they are closer to power than they have ever been in the nearly 75-year history of post-Nazi Germany.

In his recent book “Triggerpunkte,” or “Trigger Points,” Steffen Mau, a sociologist at Humboldt University in Berlin, rejects the notion that German society is polarized neatly in two. In Germany, he argues, divisions instead run through several areas such as climate, migration and social justice. You can be moved by some issues, indifferent to others

In recent months, those motivated by their opposition to migration or climate policies were the most vocal and visible. Now those who care about democracy, minority rights and the rule of law have reached their trigger point, too.

The result is that less energy is being produced overall, and Germany is loath to buy it from France—where power is much cleaner, because it’s mostly nuclear.

So who absorbed the adjustment? Easy: industry, the old backbone of the German manufacturing state, which has been closing production facilities in significant numbers.

This does not, of course, reduce the overall atmospheric pollution generated in the world, as the old clients of German firms turn to alternatives in other locations that are, almost always, fueled with high carbon sources. The Indonesian, Brazilian, Indian and Chinese companies that will now manufacture the products that German workers used to make are largely run on fossil fuels.

Part of the problem is that there are inherent technical limitations to how high a country can drive wind and solar in its energy mix. State of the art lithium-ion batteries can only store energy in the range of megawatts, up to the low gigawatts. In order to store electricity to survive a German winter with next to no sunlight and long low-wind periods, the country would need to increase its storage capacity by orders of magnitude.

There are only three presently known energy sources that can be used at scale to balance a natural grid: hydroelectricity, nuclear and fossil fuels

hey decided to simply make do with less power: economic degrowth in action. Of course, people depended on those power sources for jobs: good, well-paid, stable union jobs that guys without university degrees could get. The government closed down the factories—can they really be surprised some of these people now want to vote for the far right?

Germany didn’t adopt degrowth by choice, but through a series of blunders. The comic edge of its misfortunes is that so many of them occurred because of miscalculation or just sheer bloody-mindedness on the part of the Greens and Social Democrats. First, a few months before becoming a Russian energy lobbyist in 2005, then-Chancellor Gerhard Schröder insisted on putting Russian natural gas at the core of Germany’s energy grid, continuing a Social Democratic tradition of entwining Germany’s future with Russia’s. Then, a Green Party with its roots in 1970s anti-nuclear weapons activism carried this atavistic policy into the 21st century when it entered government, insisting that Germany decommission the backbone of its zero-emission energy matrix. Then the war in Ukraine happened, and the pipelines were cut. Oooops. Guess who’s digging for coal now?

ver since, Luddite has been a derogatory word—shorthand for one who blindly hates or doesn’t understand technology.

Now, with nearly half of Americans worried about how AI will affect jobs, Luddism has blossomed. The new Luddites—a growing contingent of workers, critics, academics, organizers, and writers—say that too much power has been concentrated in the hands of the tech titans, that tech is too often used to help corporations slash pay and squeeze workers, and that certain technologies must not merely be criticized but resisted outright.

what I’ve seen over the past 10 years—the rise of gig-app companies that have left workers precarious and even impoverished; the punishing, gamified productivity regimes put in place by giants such as Amazon; the conquering of public life by private tech platforms and the explosion of screen addiction; and the new epidemic of AI plagiarism—has left me sympathizing with tech’s discontents.

I consider myself a Luddite not because I want to halt progress or reject technology itself. But I believe, as the original Luddites argued in a particularly influential letter threatening the industrialists, that we must consider whether a technology is “hurtful to commonality”—whether it causes many to suffer for the benefit of a few—and oppose it when necessary.

“It’s not a primitivism: We don’t reject all technology, but we reject the technology that is foisted on us,” Jathan Sadowski, a social scientist at Monash University, in Australia, told me. He’s a co-host, with the journalist Ed Ongweso Jr., of This Machine Kills, an explicitly pro-Luddite podcast.

The science-fiction author Cory Doctorow has declared all of sci-fi a Luddite literature, writing that “Luddism and science fiction concern themselves with the same questions: not merely what the technology does, but who it does it for and who it does it to.

The New York Times has profiled a hip cadre of self-proclaimed “‘Luddite’ teens.” As the headline explained, they “don’t want your likes.”

By drawing a red line against letting studios control AI, the WGA essentially waged the first proxy battle between human workers and AI. It drew attention to the fight, resonated with the public, and, after a 148-day strike, helped the guild attain a contract that banned studios from dictating the use of AI.

Researchers call this effect “the liar’s dividend,” and politicians have already tried to cast off unfavorable clips as AI-generated: Last month, Donald Trump falsely claimed that an attack ad had used AI to make him look bad.

“Deepfake” could become the “fake news” of 2024, an infrequent but genuine phenomenon that gets co-opted as a means of discrediting the truth

Steve Bannon’s infamous assertion that the way to discredit the media is to “flood the zone with shit.”

AI is less likely to create new dynamics than to amplify existing ones. Presidential campaigns, with their bottomless coffers and sprawling staff, have long had the ability to target specific groups of voters with tailored messaging

They might have thousands of data points about who you are, obtained by gathering information from public records, social-media profiles, and commercial brokers

“It is now so cheap to engage in this mass personalization,” Laura Edelson, a computer-science professor at Northeastern University who studies misinformation and disinformation, told me. “It’s going to make this content easier to create, cheaper to create, and put more communities within the reach of it.”

That sheer ease could overwhelm democracies’ already-vulnerable election infrastructure. Local- and state-election workers have been under attack since 2020, and AI could make things worse.

Those officials have also expressed the worry, he said, that generative AI will turbocharge the harassment they face, by making the act of writing and sending hate mail virtually effortless. (The consequences may be particularly severe for women.)

past attacks—most notably the Russian hack of John Podesta’s email, in 2016—have wrought utter havoc. But now pretty much anyone—whatever language they speak and whatever their writing ability—can send out hundreds of phishing emails in fluent English prose. “The cybersecurity implications of AI for elections and electoral integrity probably aren’t getting nearly the focus that they should,”

Just last week, AI-generated audio surfaced of one Harlem politician criticizing another. New York City has perhaps the most robust local-news ecosystem of any city in America, but elsewhere, in communities without the media scrutiny and fact-checking apparatuses that exist at the national level, audio like this could cause greater chaos.

In countries that speak languages with less online text for LLMs to gobble up, AI tools may be less sophisticated. But those same countries are likely the ones where tech platforms will pay the least attention to the spread of deepfakes and other disinformation, Edelson told me. India, Russia, the U.S., the EU—this is where platforms will focus. “Everything else”—Namibia, Uzbekistan, Uruguay—“is going to be an afterthought,”

Most of us tend to fret about the potential fake video that deceives half of the nation, not about the flood of FOIA requests already burying election officials. If there is a cost to that way of thinking, the world may pay it this year at the polls.

In other words, the cultural crackup of the last few months only appears to be part of an international conflict. It is, in fact, resolutely German. What is really being fought over here is a hazy, transcendent national concept that, since Oct. 7, has overtaken more firmly constitutional principles of free expression and free association.

The tensions have been building since at least 2019, when the federal Parliament adopted a resolution designating the movement calling for a boycott of Israel as antisemitic, and urging local governments and “public stakeholders” not to fund organizations or individuals that support it. That makes a big difference here, since so many artists, writers and musicians receive generous government aid. The resolution, though nonbinding, led some cultural institutions to rescind invitations to critics of Israeli policy, and many more to take a hesitant approach.

“People in cultural institutions are risk-averse,” said Tobias Haberkorn, who edits the Berlin Review, a new literary publication. “So if they have to decide, ‘Am I going to invite this or that artist with a Middle Eastern background, or not?’ I can very well see them not inviting them. Just to avoid the potential hassle.”

Since Oct. 7, accusations of antisemitism have flown much more broadly. Some are merited. Many others are dubious. Quite a number of those accused of antisemitism have been Jewish, such as Gessen.

“There are many Jewish perspectives, and that is not being honored here in a country where the history cannot be excused,” said Peaches, who is also Jewish. “For any progressive Jewish person who is thinking about what is going on, and understanding the history of what is going on, to be called antisemitic — by Germans — is ridiculous. Never did I think in 2024 that I would be thinking about that.”

Yet it’s worth pointing out how few of these accusations revolve around cultural production. It is rare for Berlin’s theaters or festivals to cancel someone for what they actually sing or paint or film

What gets you now are statements, posts, likes, signatures: the imperatives of social media, which are swallowing culture wholesale. Once debates like this would have played out in Germany’s elite press, where intellectuals clashed over the country’s moral responsibility to the past. Today the national papers, and the institutions too, are playing catch-up to Ruhrbarone, a small website from the provincial city of Bochum that took down Anderson and many others.

“I could not have done it sooner,” he says. “I don’t think anybody could have done it sooner. Because I was the first one.” 

By the late 1960s, he was managing TI’s integrated-circuit division. Before long, he was running the entire semiconductor group. 

He transferred to the Massachusetts Institute of Technology, where he studied mechanical engineering, earned his master’s degree and would have stayed for his Ph.D. if he hadn’t failed the qualifying exam. Instead, he got his first job in semiconductors and moved to Texas Instruments in 1958

he came along as the integrated circuit was being invented, and his timing couldn’t have been any better, as Chang belonged to the first generation of semiconductor geeks. He developed a reputation as a tenacious manager who could wring every possible improvement out of production lines, which put his career on the fast track.

Chang grew up dreaming of being a writer—a novelist, maybe a journalist—and he planned to major in English literature at Harvard University. But after his freshman year, he decided that what he actually wanted was a good job

“They talk about life-work balance,” he says. “That’s a term I didn’t even know when I was their age. Work-life balance. When I was their age, if there was no work, there was no life.” 

These days, TSMC is investing $40 billion to build plants in Arizona, but the project has been stymied by delays, setbacks and labor shortages, and Chang told me that some of TSMC’s young employees in the U.S. have attitudes toward work that he struggles to understand. 

Chang says he wouldn’t have taken the risk of moving to Taiwan if he weren’t financially secure. In fact, he didn’t take that same risk the first time he could have.

“The closer the industry match,” they wrote, “the greater the success rate.” 

By then, Chang knew that he wasn’t long for Texas Instruments. But his stock options hadn’t vested, so he turned down the invitation to Taiwan. “I was not financially secure yet,” he says. “I was never after great wealth. I was only after financial security.” For this corporate executive in the middle of the 1980s, financial security equated to $200,000 a year. “After tax, of course,” he says. 

Chang’s situation had changed by the time Li called again three years later. He’d exercised a few million dollars of stock options and bought tax-exempt municipal bonds that paid enough for him to be financially secure by his living standards. Once he’d achieved that goal, he was ready to pursue another one. 

“There was no certainty at all that Taiwan would give me the chance to build a great semiconductor company, but the possibility existed, and it was the only possibility for me,” Chang says. “That’s why I went to Taiwan.” 

Not long ago, a team of economists investigated whether older entrepreneurs are more successful than younger ones. By scrutinizing Census Bureau records and freshly available Internal Revenue Service data, they were able to identify 2.7 million founders in the U.S. who started companies between 2007 and 2014. Then they looked at their ages.

The average age of those entrepreneurs at the founding of their companies was 41.9. For the fastest-growing companies, that number was 45. The economists also determined that 50-year-old founders were almost twice as likely to achieve major success as 30-year-old founders, while the founders with the lowest chance of success were the ones in their early 20s

“Successful entrepreneurs are middle-aged, not young,” they wrote in their 2020 paper.  

Silicon Valley’s venture capitalists throw money at talented young entrepreneurs in the hopes they will start the next trillion-dollar company. They have plentiful energy, insatiable ambition and the vision to peek around corners and see the future. What they don’t typically have are mortgages, family obligations and other adult responsibilities to distract them or diminish their appetite for risk. Chang himself says that younger people are more innovative when it comes to science and technical subjects. 

But in business, older is better. Entrepreneurs in their 40s and 50s may not have the exuberance to believe they will change the world, but they have the experience to know how they actually can. Some need years of specialized training before they can start a company. In biotechnology, for example, founders are more likely to be college professors than college dropouts. Others require the lessons and connections they accumulate over the course of their careers. 

one more finding from their study of U.S. companies that helps explain the success of a chip maker in Taiwan. It was that prior employment in the area of their startups—both the general sector and specific industry—predicted “a vastly higher probability” of success.

Chang was such a workaholic that he made sales calls on his honeymoon and had no patience for those who didn’t share his drive

Morris Chang had 30 years of experience in his industry when he decided to uproot his life and move to another continent. He knew more about semiconductors than just about anyone on earth—and certainly more than anyone in Taiwan. As soon as he started his job at the Industrial Technology Research Institute, Chang was summoned to K.T. Li’s office and given a second job. “He felt I should start a semiconductor company in Taiwan,”

“I decided right away that this could not be the kind of great company that I wanted to build at either Texas Instruments or General Instrument,”

TI handled every part of chip production, but what worked in Texas would not translate to Taiwan. The only way that he could build a great company in his new home was to make a new sort of company altogether, one with a business model that would exploit the country’s strengths and mitigate its many weaknesses.

Chang determined that Taiwan had precisely one strength in the chip supply chain. The research firm that he was now running had been experimenting with semiconductors for the previous 10 years. When he studied that decade of data, Chang was pleasantly surprised by Taiwan’s yields, the percentage of working chips on silicon wafers. They were almost twice as high in Taiwan as they were in the U.S., he said. 

“People were ingrained in thinking the secret sauce of a successful semiconductor company was in the wafer fab,” Campbell told me. “The transition to the fabless semiconductor model was actually pretty obvious when you thought about it. But it was so against the prevailing wisdom that many people didn’t think about it.” 

Taiwan’s government took a 48% stake, with the rest of the funding coming from the Dutch electronics giant Philips and Taiwan’s private sector, but Chang was the driving force behind the company. The insight to build TSMC around such an unconventional business model was born from his experience, contacts and expertise. He understood his industry deeply enough to disrupt it. 

“TSMC was a business-model innovation,” Chang says. “For innovations of that kind, I think people of a more advanced age are perhaps even more capable than people of a younger age.”

the personal philosophy that he’d developed over the course of his long career. “To be a partner to our customers,” he says. That founding principle from 1987 is the bedrock of the foundry business to this day, as TSMC says the key to its success has always been enabling the success of its customers.  

TSMC manufactures chips in iPhones, iPads and Mac computers for Apple, which manufactures a quarter of TSMC’s net revenue. Nvidia is often called a chip maker, which is curious, because it doesn’t make chips. TSMC does. 

Churning out identical copies of a single chip for an iPhone requires one TSMC fab to produce more than a quintillion transistors—that is, one million trillions—every few months. In a year, the entire semiconductor industry produces “more transistors than the combined quantity of all goods produced by all other companies, in all other industries, in all human history,” Miller writes. 

I asked how he thought about success when he moved to Taiwan. “The highest degree of success in 1985, according to me, was to build a great company. A lower degree of success was at least to do something that I liked to do and I wanted to do,” he says. “I happened to achieve the highest degree of success that I had in mind.” 

Climate change isn’t the only problem. Cocoa crops in Côte d’Ivoire and Ghana, where 60 percent of the world’s cocoa come from, may already be in “structural decline,” Debenham said, citing disease, aging cocoa trees, and illegal gold mining on farmland.

ore important, the farmers who tend to the crops can’t afford to invest in their farms to increase their yields and bolster resilience against climate change. The bleak outlook for cocoa farmers threatens to doom cocoa-growing in the region altogether. In Ghana, the average cocoa farmer is close to 50 years old. A new generation of farmers is needed to maintain the cocoa supply, but young people may just walk away from the industry.

Newer chocolate alternatives may provide more satisfying counterfeits. Win-Win isn’t the only start-up producing cocoa-free chocolate, which is similar in concept to animal-free meat. The company uses plant ingredients to emulate the flavor and texture of chocolate—as do its competitors Foreverland and Voyage Foods. Another firm, California Cultured, grows actual cacao cells in giant steel tanks.

Cocoa shortages will affect all kinds of chocolate, but mass-produced sweets may change beyond just the prices. The erratic temperatures brought about by climate change could change the flavor of beans, depending on where they are grown

Variability is a concern for commercial chocolate makers, who need to maintain consistent flavors across their products. They may counteract discrepancies among different batches of beans by combining them, then roasting them at a higher temperature,

Commercial chocolate makers may also tweak their recipes to amp up or mimic chocolate flavors without using more cocoa. These candies contain relatively little cacao to begin with; only 10 percent of a product’s weight must be cocoa in order to qualify as chocolate in the eyes of the FDA.

No matter how you look at it, the future of cocoa doesn’t look good. With less cocoa available all around, chocolate may become more expensive. For high-end chocolate brands, whose products use lots of cocoa, the recent price hikes are reportedly an existential threat.

So much of the appeal of cheap chocolate is that it’s always been there—whether in the form of a Hershey’s Kiss, Oreo cookies, a bowl of Cocoa Puffs, or the shell of a fondant-filled egg. “You grow up with those tastes. It’s hard to fathom how pervasive it has been,” Carodenuto said. Chocolate lovers have weathered minor tweaks to these candies over the years, but the shifts happening today may be less tolerable—or at the very least more noticeable. The change that has been hardest to ignore is that cheap chocolate is no longer that cheap.

For the first time since the first World Happiness Report was published in 2012, the United States fell out of the Top 20 and dropped to 23rd, pushed down by cratering attitudes of Americans under 30.

Americans have long been an unhappy bunch. They have never ranked in the Top 10 of the World Happiness Report, which is based on how respondents in different countries rate their own happiness.

cited the disruptions to life brought about by the coronavirus pandemic as a chief cause of mental health challenges among younger Americans.

The happiest young people are in Lithuania, while the unhappiest are in Afghanistan.

“I have never seen such an extreme change,” John Helliwell, an economist and a co-author of the report, said in an interview, referring to the drop in happiness among younger people. “This has all happened in the last 10 years, and it’s mainly in the English-language countries. There isn’t this drop in the world as a whole.”

Respondents were asked — among other prompts — to think of their life as a ladder and to rate it on a scale of one to 10, with 10 being the best possible life.

this was the first time that the consortium separated results by age, finding disparities in the views of younger and older Americans. Among the 143 countries surveyed, the United States ranked 10th for people 60 and older, but 62nd for people under 30.

Jade Song, a 27-year-old novelist, counted herself among those who had become increasingly unhappy in recent years.

“Many of the things that would have normally taken place for people, particularly high school young adults, did not take place,” he added. “And that is still occurring.”

“It’s mostly because as an adult you suddenly become aware of all the world news and you pay attention more to what you can control, and you realize that there is so little you can control,” Ms. Song, who was not part of the study, said in an interview. “Even if you’re going to protests or paying your rent and bills all on time, it’s so difficult, especially now, to break free from how you’re living your life when you realize how little impact your actions actually have on a broader level.”

There is a silver lining, though

In 2022, a Harvard University study showed that well-being among young adults in the United States had declined in the previous 20 years. Young people — those between the ages of 18 and 25 — reported the lowest levels of happiness compared with other age groups, as well as the poorest mental and physical health, sense of purpose, character, virtue, close social relationships and financial stability

Similar findings have emerged in Britain and Canada.

“One factor, which we’re all thinking about, is social media,” said Dr. Robert Waldinger, the director of the Harvard Study of Adult Development

“Because there’s been some research that shows that depending on how we use social media, it lowers well-being, it increases rates of depression and anxiety, particularly among young girls and women, teenage girls.”

In addition, Dr. Waldinger said, the negative feedback loop from news consumption has become a contributing factor.

“There’s also a lot of anxiety about the state of the world,” he said. “About climate change. About all of the polarization that we’re seeing.”

in some other countries, such as Croatia, Switzerland and Austria, the World Happiness Report shows that young people are becoming happier.

“Part of the problem is that we have this huge expectation of happiness in America,” said Eric Weiner, the author of “The Geography of Bliss,” and so we suffer partly from the unhappiness of not being happy and the expectation that we should be happy. And not every country in the world has that.”

“There’s an assumption that if you’re American, you’re wealthy and you’re high tech and you’re successful; you should be happy,” he said. “There’s a lot of data that shows that the greater your expectations, the less you’re happy.”

The expectations for young people like Ms. Song, the novelist, said have shifted.

“We have less to look forward to,” she said. “Because in the future, there’s going to be climate change that will affect the way we live. I think there’s less of a clear-cut trajectory for our life paths, because for so long, it was so easy just to know that you could go get married and have your 2.5 kids, and then pay for your house. But now that path is a lot more closed.”

“The literature is clear in practice — the effect that this had on socialization, pro-social behavior, if you will, and the ability for people to feel connected and have a community,”

“A, this angst is very local and, B, it’s very recent, which means, C, it’s not fundamental and going to last forever,” he said. “If it has been created that quickly, it could be removed that quickly.”

Henry Highland Garnet — the first African-American to speak in Congress after the passage of the Thirteenth Amendment — even apologized for speaking of various different races, “when in fact there is but one race, as there was but one Adam.”

Fast forward to 2015, when the University of California called the phrase “There is only one race, the human race” a “micro-aggression”; or 2020, when the phrase “All Lives Matter” was deemed evidence of “anti-blackness”

The 21st Century, the brief era of color-blindness behind us, reached back to the 19th to insist that race defines us at our core, can never be overcome, and marks us all either an oppressor or a victim.

Hughes cuts to the chase and calls these reactionaries in progressive clothing “neoracists”. They are. What else would one call them?

They are race-obsessed. They view any human interaction as a racial power-struggle, and compound it with any number of further “intersectional” power-struggles

They see group identity as determinative everywhere; and therefore want to intervene everywhere, to discriminate against whites and successful non-whites in favor of unsuccessful non-whites

Individual rights? They come second to group identity.

The old black-white paradigm to which so many are still attached has been superseded by the kaleidoscope society, in which “race” is almost always mixed, complicated, or one difference among many.

Political power? Blacks, who are about 14 percent of population, are represented proportionally in the House — covering 29 states — and can claim the last two-term president, the current vice president, the House minority leader, the secretary of defense, the chairman of the Joint Chiefs, the mayors of the four most populous cities last year, and more than a fifth of SCOTUS.

So do we do nothing? Not at all. In fact, blaming an abstraction — “white supremacy” — takes us backwards practically and analytically. Hughes advocates for color-blind processes wherever possible: blind grading in schools and colleges; or hiring policies that remove names from applications to deter racism.

the implosion of bad ideas is not the same as the resuscitation of good ones. What Hughes has done in this book is remind us what we already knew: that racism and neoracism are two sides of the same collectivist coin, and that treating everyone regardless of race is the only feasible way forward for a multiracial America, just as it is the only morally defensible regime that can actually counter and erode racial hatred. The proof is in our past progress. But the potential for multi-racial individualism is as unknowable as it is exhilarating.

Early 2017 Gallup data echoed this. It showed 32 percent of Republicans suddenly liked the man who had just interfered in an American election.

But a significant and influential segment of the party has demonstrated a tendency toward a brand of moral relativism and even authoritarianism that creates an opening for giving Putin a pass.

Maybe these Republicans just disliked Biden that much, or maybe they saw something admirable in Putin’s strongman mystique (a sentiment Trump has spent years cultivating). It certainly wouldn’t be the only evidence of Trump supporters flirting with the merits of authoritarianism.

Regardless, the data show how, when these loud voices on the right project softness on Putin or his invasion of Ukraine, there’s a willingness to hear that out — even if the base doesn’t actually like Putin. Influential voices on the right have spent years creating a permission structure for shrugging at things like Navalny’s death (see: Jamal Khashoggi).

there’s been little in the way of a desire to fight back against these noisy and influential forces — in part because that would entail going against the most powerful Republican and the onetime most influential conservative commentator.

Fresh estimates from the Congressional Budget Office this month said the U.S. labor force in 2023 had grown by 5.2 million people, thanks especially to net immigration

The sudden snapback in demand sent inflation soaring. Supply chain issues were a main reason prices rose quickly. But labor shortages posed a problem, too, and economists feared that rising wages — as employers scrambled to find workers — would keep price increases dangerously high.

he flow of migrants to the United States started slowing during the Trump administration, when officials took hundreds of executive actions designed to restrict migration.

Right before the pandemic, there were about 1.5 million fewer working-age immigrants in the United States than pre-2017 trends would have predicted, according to the San Francisco Fed. By the end of 2021, that shortfall had widened to about 2 million

But the economy overall wound up rebounding aggressively from the sudden, widespread closures of 2020, bolstered by historic government stimulus and vaccines that debuted faster than expected.

economy grow. But today’s snapshot still represents a stark turnaround from just a short time ago.

That’s because the labor force that emerged as the pandemic ebbed was smaller than it had been: Millions of people retired early, stayed home to take over child care or avoid getting sick, or decided to look for new jobs entirely

In the span of a year or so, employers went from having businesses crater to sprinting to hire enough staff to keep restaurants, hotels, retail stores and construction sites going. Wages for the lowest earners rose at the fastest pace.

About the same time, the path was widening for migrants to cross the southern border, particularly as the new Biden administration rolled back Trump-era restrictions.

Experts argue that the strength of the U.S. economy has benefited American workers and foreign-born workers alike. Each group accounts for roughly half of the labor market’s impressive year-over-year growth since January 2023

But the past few years were extremely abnormal because companies were desperate to hire.

lus, it would be exceedingly difficult for immigration to affect the wages of enormous swaths of the labor force,

“What it can do is lower the wages of a specific occupation in a specific area, but American workers aren’t stupid. They change jobs. They change what they specialize in,” Nowrasteh said. “So that’s part of the reason why wages don’t go down.”

In normal economic times, some analysts note, new immigrants can drag down wages, especially if employers decide to hire them over native-born workers. Undocumented workers, who don’t have as much leverage to push for higher pay, could lower average wages even more.

Particularly for immigrants fleeing poorer countries, the booming U.S. job market and the promise of higher wages continue to be an enormous draw.

“More than any immigration policy per se, the biggest pull for migrants is the strength of the labor market,” said Catalina Amuedo-Dorantes, an economics professor at the University of California at Merced. “More than any enforcement policy, any immigration policy, at the end of the day.”

Upon arriving in Denver in October, Santander hadn’t acquired a work permit but needed to feed his small children. Even without authorization, he found a job as a roofer for a contractor that ultimately pocketed his earnings, then one cleaning industrial refrigerators on the overnight shift for $12 an hour. Since receiving his work permit in January, Santander has started “a much better job” at a wood accessories manufacturer making $20 an hour.

But for the vast majority of migrants who arrive in the United States without prior approval, including asylum seekers and those who come for economic reasons, getting a work permit isn’t easy.

Federal law requires migrants to wait nearly six months to receive a work permit after filing for asylum. Wait times can stretch for additional months because of a backlog in cases.

While they wait, many migrants find off-the-books work as day laborers or street vendors, advocates say. Others get jobs using falsified documents, including many teenagers who came into the country as unaccompanied minors.

Still, many migrants miss the year-long window to apply for asylum — a process that can cost thousands of dollars — leaving them with few pathways to work authorization, advocates say. Those who can’t apply for asylum often end up working without official permission in low-wage industries where they are susceptible to exploitation.

At some point they will be able to, for example, suggest recipes for novel cyberattacks or biological attacks—all based on publicly available knowledge.

But as models become more sophisticated, this approach may prove insufficient. Some models are beginning to exhibit polymathic behavior: They appear to know more than just what is in their training data and can link concepts across fields, languages, and geographies.

We need to adopt new approaches to AI safety that track the complexity and innovation speed of the core models themselves.

What’s much harder to test for is what’s known as “capability overhang”—meaning not just the model’s current knowledge, but the derived knowledge it could potentially generate on its own.

Red teams have so far shown some promise in predicting models’ capabilities, but upcoming technologies could break our current approach to safety in AI. For one, “recursive self-improvement” is a feature that allows AI systems to collect data and get feedback on their own and incorporate it to update their own parameters, thus enabling the models to train themselves

This could result in, say, an AI that can build complex system applications (e.g., a simple search engine or a new game) from scratch. But, the full scope of the potential new capabilities that could be enabled by recursive self-improvement is not known.

Another example would be “multi-agent systems,” where multiple independent AI systems are able to coordinate with each other to build something new.

This so-called “combinatorial innovation,” where systems are merged to build something new, will be a threat simply because the number of combinations will quickly exceed the capacity of human oversight.

Short of pulling the plug on the computers doing this work, it will likely be very difficult to monitor such technologies once these breakthroughs occur

Current regulatory approaches are based on individual model size and training effort, and are based on passing increasingly rigorous tests, but these techniques will break down as the systems become orders of magnitude more powerful and potentially elusive

AI regulatory approaches will need to evolve to identify and govern the new emergent capabilities and the scaling of those capabilities.

But the AI Act has already fallen behind the frontier of innovation, as open-source AI models—which are largely exempt from the legislation—expand in scope and number

Europe has so far attempted the most ambitious regulatory regime with its AI Act,

both Biden’s order and Europe’s AI Act lack intrinsic mechanisms to rapidly adapt to an AI landscape that will continue to change quickly and often.

a gathering in Palo Alto organized by the Rand Corp. and the Carnegie Endowment for International Peace, where key technical leaders in AI converged on an idea: The best way to solve these problems is to create a new set of testing companies that will be incentivized to out-innovate each other—in short, a robust economy of testing

To check the most powerful AI systems, their testers will also themselves have to be powerful AI systems, precisely trained and refined to excel at the single task of identifying safety concerns and problem areas in the world’s most advanced models.

To be trustworthy and yet agile, these testing companies should be checked and certified by government regulators but developed and funded in the private market, with possible support by philanthropy organizations

The field is moving too quickly and the stakes are too high for exclusive reliance on typical government processes and timeframes.

One way this can unfold is for government regulators to require AI models exceeding a certain level of capability to be evaluated by government-certified private testing companies (from startups to university labs to nonprofit research organizations), with model builders paying for this testing and certification so as to meet safety requirements.

As AI models proliferate, growing demand for testing would create a big enough market. Testing companies could specialize in certifying submitted models across different safety regimes, such as the ability to self-proliferate, create new bio or cyber weapons, or manipulate or deceive their human creators

Much ink has been spilled over presumed threats of AI. Advanced AI systems could end up misaligned with human values and interests, able to cause chaos and catastrophe either deliberately or (often) despite efforts to make them safe. And as they advance, the threats we face today will only expand as new systems learn to self-improve, collaborate and potentially resist human oversight.

If we can bring about an ecosystem of nimble, sophisticated, independent testing companies who continuously develop and improve their skill evaluating AI testing, we can help bring about a future in which society benefits from the incredible power of AI tools while maintaining meaningful safeguards against destructive outcomes.

Altman and OpenAI have been candid on this front. The end goal of OpenAI has always been to build a so-called artificial general intelligence, or AGI, that would, in their imagining, alter the course of human history forever, ushering in an unthinkable revolution of productivity and prosperity—a utopian world where jobs disappear, replaced by some form of universal basic income, and humanity experiences quantum leaps in science and medicine. (Or, the machines cause life on Earth as we know it to end.) The stakes, in this hypothetical, are unimaginably high—all the more reason for OpenAI to accelerate progress by any means necessary.

As with other grand projects of the 20th century, the voting public had a voice in both the aims and the execution of the Apollo missions. Altman made it clear that we’re no longer in that world. Rather than waiting around for it to return, or devoting his energies to making sure that it does, he is going full throttle forward in our present reality.

Part of Altman’s reasoning, he told Andersen, is that AI development is a geopolitical race against autocracies like China. “If you are a person of a liberal-democratic country, it is better for you to cheer on the success of OpenAI” rather than that of “authoritarian governments,” he said. He noted that, in an ideal world, AI should be a product of nations. But in this world, Altman seems to view his company as akin to its own nation-state.

In response to one question about AGI rendering jobs obsolete, Jeff Wu, an engineer for the company, confessed, “It’s kind of deeply unfair that, you know, a group of people can just build AI and take everyone’s jobs away, and in some sense, there’s nothing you can do to stop them right now.” He added, “I don’t know. Raise awareness, get governments to care, get other people to care. Yeah. Or join us and have one of the few remaining jobs. I don’t know; it’s rough.”

Wu’s colleague Daniel Kokotajlo jumped in with the justification. “To add to that,” he said, “AGI is going to create tremendous wealth. And if that wealth is distributed—even if it’s not equitably distributed, but the closer it is to equitable distribution, it’s going to make everyone incredibly wealthy.”

This is the unvarnished logic of OpenAI. It is cold, rationalist, and paternalistic. That such a small group of people should be anointed to build a civilization-changing technology is inherently unfair, they note. And yet they will carry on because they have both a vision for the future and the means to try to bring it to fruition

Wu’s proposition, which he offers with a resigned shrug in the video, is telling: You can try to fight this, but you can’t stop it. Your best bet is to get on board.

Dr. Shi’s group was fascinated by how coronaviruses jump from species to species. To find viruses, they took samples from bats and other animals, as well as from sick people living near animals carrying these viruses or associated with the wildlife trade. Much of this work was conducted in partnership with the EcoHealth Alliance, a U.S.-based scientific organization that, since 2002, has been awarded over $80 million in federal funding to research the risks of emerging infectious diseases.

Their research showed that the viruses most similar to SARS‑CoV‑2, the virus that caused the pandemic, circulate in bats that live roughly 1,000 miles away from Wuhan. Scientists from Dr. Shi’s team traveled repeatedly to Yunnan province to collect these viruses and had expanded their search to Southeast Asia. Bats in other parts of China have not been found to carry viruses that are as closely related to SARS-CoV-2.

When the Covid-19 outbreak was detected, Dr. Shi initially wondered if the novel coronavirus had come from her laboratory, saying she had never expected such an outbreak to occur in Wuhan.

The SARS‑CoV‑2 virus is exceptionally contagious and can jump from species to species like wildfire. Yet it left no known trace of infection at its source or anywhere along what would have been a thousand-mile journey before emerging in Wuhan.

The year before the outbreak, the Wuhan institute, working with U.S. partners, had proposed creating viruses with SARS‑CoV‑2’s defining feature

The laboratory pursued risky research that resulted in viruses becoming more infectious: Coronaviruses were grown from samples from infected animals and genetically reconstructed and recombined to create new viruses unknown in nature. These new viruses were passed through cells from bats, pigs, primates and humans and were used to infect civets and humanized mice (mice modified with human genes). In essence, this process forced these viruses to adapt to new host species, and the viruses with mutations that allowed them to thrive emerged as victors.

Worse still, as the pandemic raged, their American collaborators failed to publicly reveal the existence of the Defuse proposal. The president of EcoHealth, Peter Daszak, recently admitted to Congress that he doesn’t know about virus samples collected by the Wuhan institute after 2015 and never asked the lab’s scientists if they had started the work described in Defuse.

By 2019, Dr. Shi’s group had published a database describing more than 22,000 collected wildlife samples. But external access was shut off in the fall of 2019, and the database was not shared with American collaborators even after the pandemic started, when such a rich virus collection would have been most useful in tracking the origin of SARS‑CoV‑2. It remains unclear whether the Wuhan institute possessed a precursor of the pandemic virus.

In 2021, The Intercept published a leaked 2018 grant proposal for a research project named Defuse, which had been written as a collaboration between EcoHealth, the Wuhan institute and Ralph Baric at the University of North Carolina, who had been on the cutting edge of coronavirus research for years. The proposal described plans to create viruses strikingly similar to SARS‑CoV‑2.

Coronaviruses bear their name because their surface is studded with protein spikes, like a spiky crown, which they use to enter animal cells. The Defuse project proposed to search for and create SARS-like viruses carrying spikes with a unique feature: a furin cleavage site — the same feature that enhances SARS‑CoV‑2’s infectiousness in humans, making it capable of causing a pandemic. Defuse was never funded by the United States.

owever, in his testimony on Monday, Dr. Fauci explained that the Wuhan institute would not need to rely on U.S. funding to pursue research independently.

While it’s possible that the furin cleavage site could have evolved naturally (as seen in some distantly related coronaviruses), out of the hundreds of SARS-like viruses cataloged by scientists, SARS‑CoV‑2 is the only one known to possess a furin cleavage site in its spike. And the genetic data suggest that the virus had only recently gained the furin cleavage site before it started the pandemic.

Ultimately, a never-before-seen SARS-like virus with a newly introduced furin cleavage site, matching the description in the Wuhan institute’s Defuse proposal, caused an outbreak in Wuhan less than two years after the proposal was drafted.

When the Wuhan scientists published their seminal paper about Covid-19 as the pandemic roared to life in 2020, they did not mention the virus’s furin cleavage site — a feature they should have been on the lookout for, according to their own grant proposal, and a feature quickly recognized by other scientists.

At the Wuhan Institute of Virology, a team of scientists had been hunting for SARS-like viruses for over a decade, led by Shi Zhengl

In May, citing failures in EcoHealth’s monitoring of risky experiments conducted at the Wuhan lab, the Biden administration suspended all federal funding for the organization and Dr. Daszak, and initiated proceedings to bar them from receiving future grants. In his testimony on Monday, Dr. Fauci said that he supported the decision to suspend and bar EcoHealth.

Separately, Dr. Baric described the competitive dynamic between his research group and the institute when he told Congress that the Wuhan scientists would probably not have shared their most interesting newly discovered viruses with him. Documents and email correspondence between the institute and Dr. Baric are still being withheld from the public while their release is fiercely contested in litigation.

In the end, American partners very likely knew of only a fraction of the research done in Wuhan. According to U.S. intelligence sources, some of the institute’s virus research was classified or conducted with or on behalf of the Chinese military.

In the congressional hearing on Monday, Dr. Fauci repeatedly acknowledged the lack of visibility into experiments conducted at the Wuhan institute, saying, “None of us can know everything that’s going on in China, or in Wuhan, or what have you. And that’s the reason why — I say today, and I’ve said at the T.I.,” referring to his transcribed interview with the subcommittee, “I keep an open mind as to what the origin is.”

The Wuhan lab pursued this type of work under low biosafety conditions that could not have contained an airborne virus as infectious as SARS‑CoV‑2.

Labs working with live viruses generally operate at one of four biosafety levels (known in ascending order of stringency as BSL-1, 2, 3 and 4) that describe the work practices that are considered sufficiently safe depending on the characteristics of each pathogen. The Wuhan institute’s scientists worked with SARS-like viruses under inappropriately low biosafety conditions.

​​Biosafety levels are not internationally standardized, and some countries use more permissive protocols than others.

In one experiment, Dr. Shi’s group genetically engineered an unexpectedly deadly SARS-like virus (not closely related to SARS‑CoV‑2) that exhibited a 10,000-fold increase in the quantity of virus in the lungs and brains of humanized mice. Wuhan institute scientists handled these live viruses at low biosafety levels, including BSL-2.

Even the much more stringent containment at BSL-3 cannot fully prevent SARS‑CoV‑2 from escaping. Two years into the pandemic, the virus infected a scientist in a BSL-3 laboratory in Taiwan, which was, at the time, a zero-Covid country. The scientist had been vaccinated and was tested only after losing the sense of smell. By then, more than 100 close contacts had been exposed. Human error is a source of exposure even at the highest biosafety levels, and the risks are much greater for scientists working with infectious pathogens at low biosafety.

An early draft of the Defuse proposal stated that the Wuhan lab would do their virus work at BSL-2 to make it “highly cost-effective.” Dr. Baric added a note to the draft highlighting the importance of using BSL-3 to contain SARS-like viruses that could infect human cells, writing that “U.S. researchers will likely freak out.”

Years later, after SARS‑CoV‑2 had killed millions, Dr. Baric wrote to Dr. Daszak: “I have no doubt that they followed state determined rules and did the work under BSL-2. Yes China has the right to set their own policy. You believe this was appropriate containment if you want but don’t expect me to believe it. Moreover, don’t insult my intelligence by trying to feed me this load of BS.”

SARS‑CoV‑2 is a stealthy virus that transmits effectively through the air, causes a range of symptoms similar to those of other common respiratory diseases and can be spread by infected people before symptoms even appear. If the virus had escaped from a BSL-2 laboratory in 2019, the leak most likely would have gone undetected until too late.

One alarming detail — leaked to The Wall Street Journal and confirmed by current and former U.S. government officials — is that scientists on Dr. Shi’s team fell ill with Covid-like symptoms in the fall of 2019. One of the scientists had been named in the Defuse proposal as the person in charge of virus discovery work. The scientists denied having been sick.

The hypothesis that Covid-19 came from an animal at the Huanan Seafood Market in Wuhan is not supported by strong evidence.

In December 2019, Chinese investigators assumed the outbreak had started at a centrally located market frequented by thousands of visitors daily. This bias in their search for early cases meant that cases unlinked to or located far away from the market would very likely have been missed

To make things worse, the Chinese authorities blocked the reporting of early cases not linked to the market and, claiming biosafety precautions, ordered the destruction of patient samples on January 3, 2020, making it nearly impossible to see the complete picture of the earliest Covid-19 cases. Information about dozens of early cases from November and December 2019 remains inaccessible.

A pair of papers published in Science in 2022 made the best case for SARS‑CoV‑2 having emerged naturally from human-animal contact at the Wuhan market by focusing on a map of the early cases and asserting that the virus had jumped from animals into humans twice at the market in 2019

More recently, the two papers have been countered by other virologists and scientists who convincingly demonstrate that the available market evidence does not distinguish between a human superspreader event and a natural spillover at the market.

Furthermore, the existing genetic and early case data show that all known Covid-19 cases probably stem from a single introduction of SARS‑CoV‑2 into people, and the outbreak at the Wuhan market probably happened after the virus had already been circulating in humans.

Not a single infected animal has ever been confirmed at the market or in its supply chain. Without good evidence that the pandemic started at the Huanan Seafood Market, the fact that the virus emerged in Wuhan points squarely at its unique SARS-like virus laboratory.

With today’s technology, scientists can detect how respiratory viruses — including SARS, MERS and the flu — circulate in animals while making repeated attempts to jump across species. Thankfully, these variants usually fail to transmit well after crossing over to a new species and tend to die off after a small number of infections

investigators have not reported finding any animals infected with SARS‑CoV‑2 that had not been infected by humans. Yet, infected animal sources and other connective pieces of evidence were found for the earlier SARS and MERS outbreaks as quickly as within a few days, despite the less advanced viral forensic technologies of two decades ago.

Even though Wuhan is the home base of virus hunters with world-leading expertise in tracking novel SARS-like viruses, investigators have either failed to collect or report key evidence that would be expected if Covid-19 emerged from the wildlife trade. For example, investigators have not determined that the earliest known cases had exposure to intermediate host animals before falling ill.

No antibody evidence shows that animal traders in Wuhan are regularly exposed to SARS-like viruses, as would be expected in such situations.

In previous outbreaks of coronaviruses, scientists were able to demonstrate natural origin by collecting multiple pieces of evidence linking infected humans to infected animals

In contrast, virologists and other scientists agree that SARS‑CoV‑2 required little to no adaptation to spread rapidly in humans and other animals. The virus appears to have succeeded in causing a pandemic upon its only detected jump into humans.

it was a SARS-like coronavirus with a unique furin cleavage site that emerged in Wuhan, less than two years after scientists, sometimes working under inadequate biosafety conditions, proposed collecting and creating viruses of that same design.

a laboratory accident is the most parsimonious explanation of how the pandemic began.

Given what we now know, investigators should follow their strongest leads and subpoena all exchanges between the Wuhan scientists and their international partners, including unpublished research proposals, manuscripts, data and commercial orders. In particular, exchanges from 2018 and 2019 — the critical two years before the emergence of Covid-19 — are very likely to be illuminating (and require no cooperation from the Chinese government to acquire), yet they remain beyond the public’s view more than four years after the pandemic began.

it is undeniable that U.S. federal funding helped to build an unprecedented collection of SARS-like viruses at the Wuhan institute, as well as contributing to research that enhanced them.

Advocates and funders of the institute’s research, including Dr. Fauci, should cooperate with the investigation to help identify and close the loopholes that allowed such dangerous work to occur. The world must not continue to bear the intolerable risks of research with the potential to cause pandemics.

A successful investigation of the pandemic’s root cause would have the power to break a decades-long scientific impasse on pathogen research safety, determining how governments will spend billions of dollars to prevent future pandemics. A credible investigation would also deter future acts of negligence and deceit by demonstrating that it is indeed possible to be held accountable for causing a viral pandemic

Last but not least, people of all nations need to see their leaders — and especially, their scientists — heading the charge to find out what caused this world-shaking event. Restoring public trust in science and government leadership requires it.