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Fear of coronavirus infection is the economy’s biggest hurdle, he said, and the recovery will be held back until Americans believe it’s safe to resume commercial activities involving person-to-person contact.

“The No. 1 thing, of course, is people believing that it’s safe to go back to work so they can go out,” said Mr. Powell. “That’s what it will take for people to regain confidence.”

“If consumers are afraid to eat out, shop or travel, a relaxation in laws requiring business closures may do little to bring back customers and thus jobs,”

Mr. Powell and other senior central bank officials have indicated they don’t think a V-shaped recovery is likely. This has fueled their concern that the government’s initial relief measures may prove insufficient to nurse the economy through a shock with no modern parallel and with interest rates already near zero.

Boston Fed President Eric Rosengren said he expected the unemployment rate to peak near 20% this year and to stay above 10% through the end of the year. “This outlook is both sobering and a call to action,” he said. “Now is the time for both monetary and fiscal policy to act boldly to minimize the economic pain from the pandemic.”

For the third time in a week, Mr. Powell suggested additional spending by Washington could be needed to prevent long-term damage from high unemployment and waves of bankruptcies. “The scope and speed of this downturn are without modern precedent and are significantly worse than any recession since World War II,”

Mr. Rosengren warned that simply allowing businesses to reopen without slowing the spread of the virus risked making the economy worse.

It is vital that the design and timing of reductions in business restrictions not result in worse outcomes and higher unemployment over a longer period of time.”

Congress has appropriated nearly $2.9 trillion so far to support households, businesses, health-care providers and state and local governments, or around 14% of national economic output.

“I do think we need to take a step back and ask over time is it enough, and we need to be prepared to act further,” Mr. Powell said Tuesday.

Animating the administration’s approach is the expectation of a V-shaped recovery, he indicated. “We believe it’s the best bet,” Mr. Kudlow said.

“They’re all assuming after Labor Day everything is fine. Hope is not a strategy,” said Stephen Myrow, a former Treasury official in the George W. Bush administration

The issue has taken on urgency because of uncertainty over how long consumers will shun commercial activities that require human contact and because of partisan differences that could hold up further federal spending.

By refusing to wear a facemask on camera, Trump signaled to his core supporters that he stands with their demands to get the country back to normal, despite his public health officials' warnings about a possible return of coronavirus.

Trump also hit his central campaign themes, hyping his new trade deals, escalating his effort to use China as a scapegoat for not stopping a pandemic he himself long ignored and celebrating the border wall that is crucial to his bond with his supporters. And he took a new shot at Biden's mental capacity, branding the former vice president "a Democrat that doesn't even know where he is." And even before he left the White House, Trump delivered yet another carrot to his evangelical supporters, then followed up in Michigan.

"In Donald Trump's America, the wealthy and well-connected have gotten relief -- while small business owners have too often seen their doors shutter," he added. Around a quarter of Michigan's workers have lost their jobs, according to new employment figures, showing that this debate could be pivotal in a state where Trump pulled off a narrow win over Hillary Clinton four years ago.

In many ways, Trump is playing catchup since satisfaction with his performance in the state trails public approval of the job being done by Michigan's Democratic Gov. Gretchen Whitmer, with whom he has picked a political fight that he seems so far to be losing.

Trump falsely claimed Wednesday that Michigan's efforts to help its citizens vote by mail in November, in a bid to check a resurgence of the virus, will trigger massive voter fraud. Those claims risk alienating voters who are worried about the health implications of showing up in person to vote in November. And they threaten to distract from the purity of Trump's economic message in what is in many ways an unnecessary controversy.

Trump' economic reopening message offers the promise of broadening his support beyond his most loyal supporters — in the industrial Midwest especially.

"His base is still not the majority. On questions of timing and whether people feel comfortable going out and wearing masks, polling shows people with positions much closer to the governor," said Aaron Kall, director of debate at the University of Michigan, who has written extensively about Trump and his rhetorical style.

Trump's decision to go after a popular Democratic governor — as he did last week in Pennsylvania with Tom Wolf -- is in some ways a sign of the President's weakness in that he needs to destroy and discredit opponents and cannot just rely on the strength of his own record to win reelection

Trump's few hours in Michigan also underscored his utter lack of guilt in politicizing and misrepresenting the reality of the worst domestic crisis to confront the US since World War II.

His cheerleading on Thursday — including on the issue of testing, where the US still trails other countries in per capita diagnostics -- was part of an aggressive White House effort to rewrite the history of the politics of the pandemic. Polls that show public satisfaction for Trump's leadership in the crisis suggest that he still has a long way to go.

The global rate of consumption growth, before the pandemic, was 3% a year. Population growth is 1%. Some people assume this means that the rise in population bears one-third of the responsibility for increased consumption

But population growth is overwhelmingly concentrated among the world’s poorest people, who have scarcely any A or T to multiply their P. The extra resource use and greenhouse gas emissions caused by a rising human population are a tiny fraction of the impact of consumption growth.

Yet it is widely used as a blanket explanation of environmental breakdown.

Panic about population growth enables the people most responsible for the impacts of rising consumption (the affluent) to blame those who are least responsible.

At this year’s World Economic Forum in Davos, the primatologist Dame Jane Goodall, who is a patron of the charity Population Matters, told the assembled pollutocrats, some of whom have ecological footprints thousands of times greater than the global average: “All these things we talk about wouldn’t be a problem if there was the size of population that there was 500 years ago.”

If we had the global population of 500 years ago (around 500 million), and if it were composed of average UK plane passengers, our environmental impact would probably be greater than that of the 7.8 billion alive today.

he proposed no mechanism by which her dream might come true. This could be the attraction. The very impotence of her call is reassuring to those who don’t want change. If the answer to environmental crisis is to wish other people away, we might as well give up and carry on consuming.

how do we distinguish proportionate concerns about these harms from deflection and racism? Well, we know that the strongest determinant of falling birth rates is female emancipation and education. The major obstacle to female empowerment is extreme poverty. Its effect is felt disproportionately by women.

Winston Churchill blamed the Bengal famine of 1943, that he helped to cause through the mass export of India’s rice, on the Indians “breeding like rabbits”. In 2013 Sir David Attenborough, also a patron of Population Matters, wrongly blamed famines in Ethiopia on “too many people for too little land”, and suggested that sending food aid was counter-productive.

Malthusianism slides easily into racism.

Most of the world’s population growth is happening in the poorest countries, where most people are black or brown. The colonial powers justified their atrocities by fomenting a moral panic about “barbaric”, “degenerate” people “outbreeding” the “superior races”

These claims have been revived today by the far right, who promote conspiracy theories about “white replacement” and “white genocide”. When affluent white people wrongly transfer the blame for their environmental impacts on to the birthrate of much poorer brown and black people, their finger-pointing reinforces these narratives. It is inherently racist.

The far right now uses the population argument to contest immigration into the US and the UK

Since the clergymen Joseph Townsend and Thomas Malthus wrote their tracts in the 18th century, poverty and hunger have been blamed not on starvation wages, war, misrule and wealth extraction by the rich, but on the reproduction rates of the poor.

So a good way of deciding whether someone’s population concerns are genuine is to look at their record of campaigning against structural poverty.

Have they contested the impossible debts poor nations are required to pay? Have they argued against corporate tax avoidance, or extractive industries that drain wealth from poorer countries, leaving almost nothing behind

Or have they simply sat and watched as people remain locked in poverty, then complained about their fertility?

Before long, this reproductive panic will disappear. Nations will soon be fighting over immigrants: not to exclude them, but to attract them, as the demographic transition leaves their ageing populations with a shrinking tax base and a dearth of key workers.

“For Biden’s policies toward China, the part about making China play by the international rules, I think, is very hollow,” said Wang Dan, who helped lead the 1989 Tiananmen protests as a university student. “As we know, the Chinese Communist Party hardly abides by international rules.”

“The Trump Administration by far has done more to raise our issue than all other countries combined,” said Salih Hudayar, who was born in Xinjiang and moved to the United States as a child. “I’m very skeptical of a Biden administration because I am worried he will allow China to go back to normal, which is a 21st-century genocide of the Uighurs.”

“These guys are utilitarian, and they believe that if Trump is waging war against the C.C.P. then he’s right for them,” Mr. Badiucao said. “That mentality fits the whole ‘America First’ ideology, where it’s OK for other people to suffer if your goal is met, and their goal is overthrowing the C.C.P.”

“The United States must realize that there will be no improvements on human rights issues in China if there is no regime change,” Mr. Wang added. He has continued to question Mr. Trump’s electoral loss, baseless claims shared by other prominent Chinese-born dissidents.

In June, Mr. Trump signed legislation that led to sanctions being placed on Chinese officials who have overseen the construction of mass detention camps in the northwestern region of Xinjiang, where more than a million people, mostly members of the Uighur Muslim minority, have been imprisoned.

uring the presidential campaign, Mr. Biden released a statement calling the situation in Xinjiang a “genocide.” The Trump Administration has not used such a designation, and a book by his former national security adviser said that Mr. Trump told Mr. Xi that he should continue building the detention camps in Xinjiang.

Foreign policy advisers to Mr. Biden say that it is unfair to presume that he will continue the Obama administration’s moderate stance. It is, they say, a different era. The recent human rights legislation championed by the Trump administration has received broad bipartisan support.

And some Asian dissidents acknowledge that the antipathy toward Mr. Biden is driven in part by a deluge of online misinformation that paints the president-elect as a secret socialist or contends, without any proof, that foreign “communist money” turned the election against Mr. Trump. Such unsubstantiated claims have been repeated by niche online publications in Vietnamese, Chinese and other languages.

“The crisis of democracy in the world makes people, especially activists, confused and susceptible to the influence of conspiracy theories and information manipulation,” said Nguyen Quang A, a Vietnamese dissident

"We Germans and Europeans understand that we must take on more responsibilities in this partnership in the 21st century. America remains our most important ally, but it rightfully expects more effort from us to guarantee our own security and to defend our values around the world," Merkel said.

Her greeting envisages America returning as an assertive global leader to tackle the "major challenges of our time" like climate change, the pandemic, terrorism, trade and the economy, "side by side" with Europe.

"Joe Biden brings with him decades of experience in domestic and foreign policy. He knows Germany and Europe well,"

The "Chancellor of the Free World" does not plan to run for reelection again. That could leave Biden as one of the last active politicians whose worldviews were shaped by the Cold War.

Not enough strategic thinking has been done so far on either side of the Atlantic on how to evolve the world's most effective alliance for the 21st century, especially with the US increasingly looking to China as its most important foreign policy issue.

The end of Trump's "America First" nationalism buys the West a little time to accelerate that thinking.

They seek refuge in “a man-made pattern of relative consistency” that bears little relation to reality

his followers abandoned common sense and found their guide to the world in him. Defeat won’t change that.

Trump damaged the rest of us, too. He got as far as he did by appealing to the perennial hostility of popular masses toward elites.

Monopoly of public policy by experts—trade negotiators, government bureaucrats, think tankers, professors, journalists—helped create the populist backlash that empowered Trump

His reign of lies drove educated Americans to place their faith, and even their identity, all the more certainly in experts, who didn’t always deserve i

The war between populists and experts relieved both sides of the democratic imperative to persuade. The standoff turned them into caricatures.

Trump’s legacy includes an extremist Republican Party that tries to hold on to power by flagrantly undemocratic means, and an opposition pushed toward its own version of extremism.

Many of his policies can be reversed or mitigated. It will be much harder to clear our minds of his lies and restore the shared understanding of reality—the agreement, however inconvenient, that A is A and not B—on which a democracy depends.

The public sector has failed to invest adequately or wisely, falling behind its peers in building infrastructure, especially the digital sort.

Penny-pinching is hard-wired into the state. In 2009, on Mrs Merkel’s watch, Germany hobbled itself with a constitutional amendment that makes it illegal to run more than a minute deficit. With interest rates so low, sensible governments ought to have been borrowing for investment, not fainting at the first spot of red ink.

Germany’s most severe domestic problem is a failure to reform its pension system. Germans are ageing fast, and the baby-boomers will place an even heavier burden on the budget later this decade as they retire

Germany has also been sluggish, and still emits more carbon per head than any other big EU country, not helped by Mrs Merkel’s shutdown of Germany’s nuclear industry after the Fukushima disaster in Japan in 2011.

The EU has not grappled sufficiently with the weakness of its indebted southern members. Only during the pandemic did it create a financial instrument that lets the EU issue jointly guaranteed debt, and dispense some of the cash as grants, rather than yet more loans.

Worse, the “stability” rules that will force countries back into austerity to shrink their stocks of debt are ready to revive, unless amended.

China is an increasingly challenging economic and strategic rival, Russia an unpredictable threat and America a distracted and uncertain ally.

Despite recent increases, it spends too little on defence. It cosies up to Beijing in the hope of better trading terms. It is giving Vladimir Putin, Russia’s president, a chokehold over European energy supplies by backing the new Nord Stream 2 gas pipeline which, as it happens, makes landfall in Mrs Merkel’s own constituency.

Comfortable, cautious Germans seem uninterested in serious debate about the future. Crisis-management has become a substitute for initiative. Candidates have no incentive to highlight their country’s looming problems.

One is a coalition headed by Mrs Merkel’s party, the Christian Democrats and their Bavarian sister-party (the CDU/CSU), led by Armin Laschet. The other is a coalition led by Olaf Scholz, of the Social Democrats (SPD), who is Germany’s finance minister. In either case, the coalition would be joined by the Greens and by the pro-business Free Democrats.

Sixteen years in power has been enough. The party has run out of ideas and drive, as its decision to choose the gaffe-prone and uninspiring Mr Laschet for chancellor makes clear. An affable lightweight, he has run a dismal campaign, and is predicted to lead his team to its worst result since the second world war. The polls say that Mr Scholz is preferred by twice as many voters.

The problem is that although he belongs to the business-friendly wing of his party, the SPD is stuffed with left-wingers.

They may try to drag him further in their direction than the Free Democrats will wear and enterprise can comfortably bear.

The world that emerges from the pandemic will be shaped by an adversarial rivalry that is not just about each side’s relative power, but has become an existential competition as each side strives to demonstrate the superiority of its system of government.

Starting with the Winter Olympics in February and culminating with the 20th Communist Party congress later in the year, China will stage a series of tightly choreographed events designed to project the competence, clout and all-round superiority of party rule, and formalise Mr Xi’s position at its helm beyond the ten-year tenure that has hitherto been the norm.

As the year goes on, the near certainty that, health permitting, Mr Trump will be the Republican presidential candidate in 2024 means America’s political debate will be overshadowed by fears of the biggest constitutional crisis since the civil war.

If the theatre of politics makes Western democracy look dysfunctional relative to Chinese autocracy, 2022 may offer a different verdict on which system delivers the most competent economic management. From tech companies to post-pandemic reopening, China and America are taking starkly divergent approaches to similar challenges

America and the rest of the West will move into a living-with-covid mindset. The disease will not disappear, but become endemic. Booster jabs will become the norm, remaining travel restrictions will be relaxed and lockdowns will become a thing of the past

China, by contrast, will stick with a zero-covid policy throughout 2022. Having terrified its citizens about the disease and touted its toughness as a mark of superiority, China’s government cannot easily change course. The country will remain walled off from the rest of the world with long quarantines and sharply restricted travel.

In both of these cases, China’s draconian approach will eventually cause economic damage.

All this will complicate China’s already challenging macroeconomic environment. China-watchers have worried for years about the consequences of unwinding the country’s enormous property boom and the jaw-dropping levels of debt that accompanied it. The crisis at Evergrande, a huge developer, suggests that this tricky transition is at last under way. It will dominate 2022 as other property-related firms fail. Add to that structural challenges, from a shrinking workforce to a rapidly growing number of old-age dependents, and the economic pressures are considerable. Annual GDP growth could fall to 5%

With covid-19 behind it, its fiscal tightening mostly complete and (assuming some version of Mr Biden’s bill is passed) with a long-overdue effort to improve infrastructure under way, America’s economy could grow smartly, even as its politics frays. GDP growth of 4%, not far off China’s, is plausible.

in theory the two sides could make progress in plenty of areas, such as devising a sensible deal on trade and technology to replace the tariffs of the Trump era; agreeing on a common approach to cyber-security, nuclear non-proliferation or the militarisation of space; or finding ways to accelerate the clean-energy transition in the wake of the COP26 climate meeting in Glasgow.

The good news is that a military confrontation seems unlikely in 2022. The overriding need to preserve stability in the run-up to the party congress will discourage China from adventurism or excessive sabre-rattling, whether around Taiwan or in the South China Sea. The bad news is that the Thucydides Trap will not have gone away.

The island’s first residents had arrived thousands of years ago and were more closely related to the peoples of Southeast Asia and the Pacific than to the Chinese. Europeans had set up trading posts on the island. The Japanese had ruled over it for 50 years.

The United States and other countries would later follow suit, dealing a blow to mainlanders like Ms. Wang. How could she still claim to be Chinese, she wondered, if the world did not even recognize her as such?

Under Mr. Xi, Beijing has signaled its impatience with Taiwan in increasingly menacing ways, sending military jets to buzz Taiwan on a near-daily basis.

The global criticism of China for its handling of Covid and its repression at home rekindled a longstanding debate in Taiwan about dropping “China” from the island’s official name. No action was taken, though; such a move by Taiwan would have been seen by Beijing as formalizing its de facto independence.

After the Nationalists ended nearly four decades of martial law in 1987, topics previously deemed taboo, including questions of identity and calls for independence, could be discussed.

Now, as China under Mr. Xi has become more authoritarian, the political gulf that separates it from Taiwan has only seemed increasingly insurmountable.

the Englishness of Brexit only matters if people see themselves as something other than British.

Brexit revealed the scale of the problem that was already there.

he passage reminded me of a conversation I’d had with a figure who had been close to Boris Johnson and worried that the U.K. was in danger of becoming an anachronism like the Kingdom of the Two Sicilies or the Austro-Hungarian empire.

Britain, this person said, was failing because it had grown lazy and complacent, unable to act with speed and purpose. The state had stopped paying attention to the basics of government, whether that was the development of its economy, the protection of its borders, or the defense of the realm. Instead, it had become guilty of a failed elite groupthink that had allowed separatism to flourish, wealth to concentrate in London and its surrounding areas, and the political elite to ignore the public mood.

Austria-Hungary did not, as is often portrayed, disintegrate because it was illegitimate or a relic of a bygone era. It fell apart because in its desperation to survive World War I, it undermined the foundation of its legitimacy as an empire of nations, becoming instead an Austrian autocracy. In its scramble to survive, it forgot who it was.

States that have forgotten who they are tend not to last long.The Soviet Union, Yugoslavia, Austria-Hungary, the Kingdom of the Two Sicilies: In each case, the breakup came about because of the demands of the dominant state in the union (or from outside the union, in the case of Sicily) as much as the demand for independence or autonomy from the peripheries.

One of the problems in Britain is that the loss of faith in the country is now so pervasive that it is hard to know whether it can be rebuilt

if Britain is to survive, it has to believe that there is such a thing as Britain and act as though that is the case. Joseph Roth wrote that the old Austro-Hungarian monarchy died “not through the empty verbiage of its revolutionaries, but through the ironical disbelief of those who should have believed in, and supported, it.” In time, we might well say the same of Britain.

Outside the European Union, Britain’s collective experience becomes more national by definition. Its economy diverges from the EU, with separate trading relationships, tariffs, standards, and products. It will have its own British immigration system, border checks, and citizenship. For good or bad, Brexit means that Britain will become more distinct from the other nations of Europe.

Brexit is unlikely to be the decisive factor either way. Unless people in Scotland believe that they are also British and that the British government and state is their government and state, nothing else matters.

At the end of The Leopard, as the prince lies dying in his old age, he realizes that his youthful calm about the fate of his class and country had been misplaced—he had been wrong to think nothing would change. “The significance of a noble family lies entirely in its traditions, that is in its vital memories,” he says to himself. But the revolution has swept away his family’s old aristocratic privileges and way of life. The meaning of his name, of being noble, had become, more and more, little more than “empty pomp.”

The United Kingdom of Great Britain and Northern Ireland remains an unusual country, but its vital memories are dying. To survive, it must be more than empty pomp.

It’s easy to take the zipper for granted today, but before it was invented, getting (and staying) dressed involved securing clothing with ropes, ties, buttons or other fasteners.

After years of attempts, Bell achieved his goal of transmitting sound over a wire, and on March 7, 1876, obtained his first U.S. Patent for a device he labeled as “Improvement on Telegraphy”—now better known as the telephone.

The first World’s Fair to take place in the United States was held in Philadelphia in 1876, and also celebrated the 100th anniversary of the country’s founding.

Then, in 1893, inventor Whitcomb L. Judson received a patent for his “clasp locker” shoe fastener, and immediately partnered with businessman Colonel Lewis Walker to launch the Universal Fastener Company and manufacture his invention

Along with the zipper, the Garis-Cochran Dishwashing Machine was also first introduced to the public at the 1893 Chicago World’s Fair, in a display drawing crowds curious about the contraption capable of thoroughly washing and drying 240 dishes in two minutes. The crowd-pleasing exhibit was more than a decade in the making. In 1883, Ohio entrepreneur Josephine Garis Cochran grew frustrated with the amount of time it took to clean up after dinner parties, reportedly saying, “If nobody else is going to invent a dishwashing machine, I’ll do it myself.” And she did.

One of the biggest challenges that arose during the early days of electricity was getting it from the power source to an individual device. By the 1880s, entire houses were being wired for electricity, but electrical appliances had to be connected to the home’s main power source directly, posing serious safety risks to members of the household.

April 30, 1939, New York City: This is the scene viewed on the television receivers in the metropolitan area, as the National Broadcasting Company inaugurated the first regular television service to the American public telecasting the ceremonies marking the opening of the New York World's Fair. Bettmann via Getty Images

May 1, 1939 saw another television milestone: the launch of a regular television broadcast schedule on the National Broadcasting Company (NBC), which was owned by RCA.

Fairgoers could take what was advertised as “America’s first television tour” (presented by NBC), where they would learn about the history of the medium, as well as the science and engineering that made its broadcast possible.

In the age of smartphones, it’s easy to identify the touchscreen demonstration at the World’s Fair as a significant technological turning point, but according to Jack Neely, executive director of the Knoxville History Project and crowd controller at the World’s Fair, that wasn’t apparent at the time. “It was...one of those things you had to look fast to notice,” Neely told the University of Tennessee Daily Beacon in a 2017 interview.

from a low level and mostly in the capital, where those with spare cash could enjoy new coffee shops, foreign restaurants and well-stocked supermarkets.

things visibly improved

the boundaries of that “better life” have been gradually curtailed in the more recent years of Mr Kim’s reign.

accompanied by heightened repression inside the country, more control at the borders and the acceleration of the nuclear programme

Aid organisations have not had access for nearly two years, making it especially hard to discern what is going on in the country.

increased penalties for smuggling and for watching foreign entertainment, such as South Korean dramas.

Mr Kim continues to rebuff offers of aid and even covid vaccines. Attempts by South Korea and America to revive a spirit of detente, for instance by negotiating a formal end to the Korean war, have gone unanswered.

When it comes to actions that were truly alarming during the Trump administration, the first event I noted was the new president’s visit to CIA headquarters, where he lied about the size of the crowd at his inauguration and insisted without evidence that 3 to 5 million people voted illegally in the 2016 election. This pattern of outright, flagrant, self-aggrandizing lies continued throughout Trump’s presidency

we’re starting to hear a familiar panic from the left. It reached an especially high pitch last week when the final decisions of the Supreme Court’s 2022 term were announced.

Even if you disagree with these decisions, I think it’s pretty clear that they are exactly what you’d expect to see from a court with a solid conservative majority. Unless we assume the United States should be a one-party state that governs uniformly from the liberal-progressive left, such an outcome should be understood as normal, or abnormal only in the sense that the court swung left in the decades following the New Deal and has been slowly moving in a rightward direction since the Reagan administration, making its current configuration a divergence from the previous era’s ideological expectations.

There is certainly nothing alarming about the court’s closing decisions, and thus neither are they evidence that the Supreme Court itself is “illegitimate,” as some applause-seeking pundits have alleged.

In my view, most of the term-ending decisions at the high court were expressions of conservatism rather than reaction.

In Mexico, the growing interest in all things Korean has made her a social-media sensation with more than 24 million followers on TikTok and over eight million subscribers to her YouTube channel, allowing her to gain popularity, financial stability and a romantic partner — all on her own terms.

“She had all this training in Korea, in this new Korea that allows her to land in a place like Mexico and be successful.”

A sort of a teacher of comparative pop culture, Ms. Kim offers lessons on popular Korean soap operas, lyrics, fashion standards, traditions and social norms. She once worked as a waitress in Mexico for a day and posted about her confusion with tips. (South Korea is a no-tip country.) She showed followers how Korean students crammed for exams. She started traveling across Mexico tasting regional delicacies.

Ms. Kim’s success tracks the growth of Korean influence in Mexico and the region.More than 2,000 Korean companies have a presence in Mexico, part of a so-called near-shoring strategy that has driven larger corporations — Kia, LG, Samsung, Hyundai, among others — to take advantage of a free-trade agreement with Canada and the United States.

K-pop, K-beauty and K-dramas have shown Latin Americans a new, different way to be cool.

K-pop bands have been performing to increasingly bigger and sold-out venues since 2012. This year, a summer festival will bring 16 Korean groups to Mexico City, with ticket prices starting at around $170.

Some newsstands specialize in magazines, posters and merchandise about South Korean celebrities. Netflix offers dubbing in “Latin Spanish” for Korean shows. Movie theaters stream live K-pop concerts performed abroad.

After finishing college in South Korea, Ms. Kim said she experienced severe stress. “I wanted to die and I wished to rest,” she said in one of her most popular videos. She has spoken openly about being hospitalized to take care of her mental health.

She attributes her exhaustion to Korea’s culture of sacrifice and grind that helped the country become an economic powerhouse after the Korean War.

“Everything is quick, quick, now, right this second,” Dr. Balderrama said. “This created a culture where there’s no place for mediocrity, there’s no place for those unwilling to compete.”

In Mexico, Ms. Kim hoped to find a more joyous life: “I saw how Latin culture is, how Latin people live and they’re living happily,” she said. “I don’t want to waste a single moment I’m in Latin America because it’s so precious to me.”

But if Ms. Kim has found a passion and a business, she has not completely found the peace of mind she was seeking. She’s in therapy to deal with what she described as some depression and anxiety.

Her large following and popularity has bred fear: “I feel people will forget me, that nobody will like me,” she said, worried about the toll of having to come up with creative content to remain relevant.

She does get criticized online by users who say she should go back to Korea, who ask whether she pays taxes in Mexico (she says she does) and who consider her another foreigner lured by life on the cheap and who contributes to the gentrification of parts of the country at the expense of Mexican residents.

the U.K. manufacturing industry has less technological automation than just about any other similarly rich country. With barely 100 installed robots per 10,000 manufacturing workers in 2020, its average robot density was below that of Slovenia and Slovaki

One analysis of the U.K.’s infamous “productivity puzzle” concluded that outside of London and finance, almost every British sector has lower productivity than its Western European peers.

What was once the world’s most powerful globalized empire has now voted to explicitly reduce global access to trade and talent. Since Brexit, immigration, exports, and foreign investment have all declined, likely reducing the size of the U.K.’s economy by several percentage points in the long run.

“Take out Greater London—the prosperity of which depends to an uncomfortable degree on a willingness to provide services to oligarchs from the Middle East and the former Soviet Union—and the UK is one of the poorest countries in Western Europe.”

Today, Britain seems trapped between a left-wing aversion to growth and a right-wing aversion to openness. On the academic left, the U.K. has lately been home to a surging movement called degrowtherism, which asserts that saving the planet requires rich countries to stop seeking growth.

On the right, the electorate is dominated by older voters who care more about culture wars than about competitiveness

The U.K. is now an object lesson for other countries dealing with a dark triad of deindustrialization, degrowth, and denigration of foreigners.

Enemies of progress can criticize the legacy of industrialization, productivity, and globalization. But the U.K. shows us what can happen when a rich country seems to reject all three. Rather than transforming into some post-economic Eden of good vibes, it becomes bitter, flailing, and nonsensical.

. In May, David Banks, the chancellor of New York City’s public schools, for many years a stronghold of “whole language” instruction, announced a sharp pivot toward phonics, a major victory for the “science of reading” movement and a blow to devotees of entrenched “balanced literacy” methods

As corporate management models and zealous state legislatures refashion the academy into a gated outpost of the gig economy, the humanities have lost their luster for undergraduates. According to reports in The New Yorker and elsewhere, fewer and fewer students are majoring in English, and many of those who do (along with their teachers) have turned away from canonical works of literature toward contemporary writing and pop culture. Is anyone reading “Paradise Lost” anymore? Are you?

While we binge and scroll and D.M., the robots, who are doing more and more of our writing, may also be taking over our reading.

There is so much to worry about. A quintessentially human activity is being outsourced to machines that don’t care about phonics or politics or beauty or truth. A precious domain of imaginative and intellectual freedom is menaced by crude authoritarian politics. Exposure to the wrong words is corrupting our children, who aren’t even learning how to decipher the right ones. Our attention spans have been chopped up and commodified, sold off piecemeal to platforms and algorithms. We’re too busy, too lazy, too preoccupied to lose ourselves in books.

the fact that the present situation has a history doesn’t mean that it isn’t rea

the reading crisis isn’t simply another culture-war combat zone. It reflects a deep ambivalence about reading itself, a crack in the foundations of modern consciousness.

Just what is reading, anyway? What is it for? Why is it something to argue and worry about? Reading isn’t synonymous with literacy, which is one of the necessary skills of contemporary existence. Nor is it identical with literature, which designates a body of written work endowed with a special if sometimes elusive prestige.

Is any other common human undertaking so riddled with contradiction? Reading is supposed to teach us who we are and help us forget ourselves, to enchant and disenchant, to make us more worldly, more introspective, more empathetic and more intelligent. It’s a private, even intimate act, swathed in silence and solitude, and at the same time a social undertaking. It’s democratic and elitist, soothing and challenging, something we do for its own sake and as a means to various cultural, material and moral ends.

Fun and fundamental: Together, those words express a familiar utilitarian, utopian promise — the faith that what we enjoy doing will turn out to be what we need to do, that our pleasures and our responsibilities will turn out to be one and the same. It’s not only good; it’s good for you.

Reading is, fundamentally, both a tool and a toy. It’s essential to social progress, democratic citizenship, good government and general enlightenment.

It’s also the most fantastically, sublimely, prodigiously useless pastime ever invented

Teachers, politicians, literary critics and other vested authorities labor mightily to separate the edifying wheat from the distracting chaff, to control, police, correct and corral the transgressive energies that propel the turning of pages.

His despair mirrors his earlier exhilaration and arises from the same source. “I envied my fellow-slaves for their stupidity. I have often wished myself a beast. I preferred the condition of the meanest reptile to my own. Any thing, no matter what, to get rid of thinking!”

Reading is a relatively novel addition to the human repertoire — less than 6,000 years old — and the idea that it might be available to everybody is a very recent innovation

Written language, associated with the rise of states and the spread of commerce, was useful for trade, helpful in the administration of government and integral to some religious practices. Writing was a medium for lawmaking, record-keeping and scripture, and reading was the province of priests, bureaucrats and functionaries.

For most of history, that is, universal literacy was a contradiction in terms. The Latin word literatus designated a member of the learned elite

Anyone could learn to do it, but the mechanisms of learning were denied to most people on the grounds of caste, occupation or gender.

According to Steven Roger Fischer’s lively and informative “A History of Reading” (2003), “Western Europe began the transition from an oral to a literate society in the early Middle Ages, starting with society’s top rungs — aristocracy and clergy — and finally including everyone else around 1,200 years later.”

. The print revolution catalyzed a global market that flourishes to this day: Books became commodities, and readers became consumers.

For Fischer, as for many authors of long-range synthetic macrohistories, the story of reading is a chronicle of progress, the almost mythic tale of a latent superpower unlocked for the benefit of mankind.

The crisis is what happens either when those efforts succeed or when they fail. Everyone likes reading, and everyone is afraid of it.

For one thing, the older, restrictive model of literacy as an elite prerogative proved to be tenacious

The novel, more than any other genre, catered to this market. Like every other development in modern popular culture, it provoked a measure of social unease. Novels, at best a source of harmless amusement and mild moral instruction, were at worst — from the pens of the wrong writers, or in the hands of the wrong readers — both invitations to vice and a vice unto themselves

More consequential — and more revealing of the destabilizing power of reading — was the fear of literacy among the laboring classes in Europe and America. “Reading, writing and arithmetic,” the Enlightenment political theorist Bernard Mandeville asserted, were “very pernicious to the poor” because education would breed restlessness and disconte

“It was unlawful, as well as unsafe, to teach a slave to read,” Frederick Douglass writes in his “Narrative of the Life” recalling the admonitions of one of his masters, whose wife had started teaching young Frederick his letters. If she persisted, the master explained, their chattel would “become unmanageable, and of no value to his master. As to himself, it could do him no good, but a great deal of harm. It would make him discontented and unhappy.”

“As I read and contemplated the subject, behold! that very discontentment which Master Hugh had predicted would follow my learning to read had already come, to torment and sting my soul to unutterable anguish. As I writhed under it, I would at times feel that learning to read had been a curse rather than a blessing.”

“If extraordinary human faculties and powers do lie dormant until a social innovation calls them into life,” he writes, “perhaps this might help to explain humanity’s constant advancement.” “Reading,” he concludes, “had become our union card to humanity.”

Douglass’s literary genius resides in the way he uses close attention to his own situation to arrive at the essence of things — to crack the moral nut of slavery and, in this case, to peel back the epistemological husk of freedom.

He has freed his mind, but the rest has not followed. In time it would, but freedom itself brings him uncertainty and terror, an understanding of his own humanity that is embattled and incomplete.

Here, the autobiographical touches on the mythic, specifically on the myth of Prometheus, whose theft of fire — a curse as well as a blessing bestowed on a bumbling, desperate species — is a primal metaphor for reading.

A school, however benevolently conceived and humanely administered, is a place of authority, where the energies of the young are regulated, their imaginations pruned and trained into conformity. As such, it will inevitably provoke resistance, rebellion and outright refusal on the part of its wards

Schools exist to stifle freedom, and also to inculcate it, a dialectic that is the essence of true education. Reading, more than any other discipline, is the engine of this process, precisely because it escapes the control of those in charge.

Apostles of reading like to quote Franz Kafka’s aphorism that “a book must be the ax for the frozen sea within us.” By itself, the violence of the metaphor is tempered by its therapeutic implication.

Kafka’s previous sentence: “What we need are books that hit us like the most painful misfortune, like the death of someone we loved more than we love ourselves, that make us feel as though we had been banished to the woods, far from any human presence, like a suicide.”

Are those the books you want in your child’s classroom? To read in this way is to go against the grain, to feel oneself at odds, alienated, alone. Schools exist to suppress those feelings, to blunt the ax and gently thaw the sea

Chaotic reading is something else. It isn’t bad so much as unjustified, useless, unreasonable, ungoverned. Defenses of this kind of reading, which are sometimes the memoirs of a certain kind of reader, favor words like promiscuous, voracious, indiscriminate and compulsive.

Roland Barthes distinguished between two kinds of literary work:

Text of pleasure: the text that contents, fills, grants euphoria: the text that comes from culture and does not break with it, is linked to a comfortable practice of reading. Text of bliss: the text that imposes a state of loss, the text that discomforts (perhaps to the point of a certain boredom), unsettles the reader’s historical, cultural, psychological assumptions, the consistency of his tastes, values, memories, brings to a crisis his relation with language.

he is really describing modalities of reading. To a member of the slaveholding Southern gentry, “The Columbian Orator” is a text of pleasure, a book that may challenge and surprise him in places, but that does not undermine his sense of the world or his place in it. For Frederick Douglass, it is a text of bliss, “bringing to crisis” (as Barthes would put it) his relation not only to language but to himself.

If you’ll forgive a Dungeons and Dragons reference, it might help to think of these types of reading as lawful and chaotic.

Lawful reading rests on the certainty that reading is good for us, and that it will make us better people. We read to see ourselves represented, to learn about others, to find comfort and enjoyment and instruction. Reading is fun! It’s good and good for you.

That is important work, but it’s equally critical for that work to be subverted, for the full destructive potential of reading to lie in reach of innocent hands.

Bibliophilia is lawful. Bibliomania is chaotic.

The point is not to choose between them: This is a lawful publication staffed by chaotic readers. In that way, it resembles a great many English departments, bookstores, households and classrooms. Here, the crisis never ends. Or rather, it will end when we stop reading. Which is why we can’t.

Surprisingly, Iran is not happy with Azerbaijan’s victory. As openly as the Iranians ever do, they’ve threatened to use force against any changes to the borders of Armenia. Iran, a millenniums-old civilization central to a whole continent, cannot tolerate being walled off behind a chain of Turkish dependencies. India, similarly, is on Armenia’s side and has been sending a regular supply of weapons. One spur for such support, no doubt, is Pakistan’s joining the Azeri-Turkish alliance. In the jargon of American lawyers, this opens a whole new can of worms.

Then there’s Russia, whose absence from the denouement in Nagorno-Karabakh was striking. Even after the 1990s, Moscow still remained by far the biggest supplier of weapons to both Armenia and Azerbaijan. Their economies and societies, above all the elites and their corruption networks, were until very recently molded together. What we are seeing now, as both nations slip out of Russia’s orbit, might be the second round of Soviet collapse.

Once again, Armenia started the shift. In spring 2018 a tremendously hopeful uprising, reminiscent of 1989 in Central Europe, forced the post-communist elites to surrender power. Vladimir Putin was visibly displeased to meet Nikol Pashinyan, the anticorruption journalist and street rebel elected Armenia’s premier by an overwhelming majority. Mr. Pashinyan admittedly had neither political team nor experience; he is learning statesmanship on the job, often at great expense to his nation. Yet he managed to significantly reduce corruption, helping to unlock the legendary entrepreneurship of Armenians. Amid all the grim news, the Armenian economy, led by the I.T. sector, is registering impressive growth.

History has a habit of serving the same lessons with changed variables. In 1988, it was the dreamer Gorbachev stumbling over Nagorno-Karabakh that unwittingly shattered the world order. Today, Mr. Putin could become the second, much darker incarnation of the Kremlin aggrandizer going awry on all fronts. The consequences — from emboldening international aggression to reanimating the West under the banner of NATO — will be profound. As events in Nagorno-Karabakh show, the fragile post-Cold War order is giving way to something else entirely.

The Caucasus might seem strange and distant. Yet it might prove the wedge that turns the fortunes of world order. Trieste, Smyrna, Sarajevo, Danzig and Crimea were all such places. Let us not have to relearn history at the cost of yet another ethnic cleansing

At home, that means more wind and solar farms, more electric cars and more diverse supply chains to build it all. This will be inflationary in the short term, as it means manufacturing new products and investing in new technologies

The first to go is the era of easy money. This isn’t a short-term response to President Biden’s much-needed post-pandemic fiscal stimulus. (In fact, that stimulus is exactly what kept the U.S. economy resilient while peers flagged, according to a recent New York Fed report.

This is a return to an economy that is more rational and hardheaded. Not all companies, or stocks, are created equal. Many have too much debt on their books.

Years of easy money propped up everything. A higher cost of capital will be painful temporarily, but it will give markets what they’ve needed for years — a reason for investors to sort out risky investments

Cheap energy is over, too. One outcome of Russia’s invasion of Ukraine is the realization (especially in Europe) that getting crucial commodities from autocrats is never a good idea

The United States, Europe and China are, in different ways, all speeding up the transition to a green economy.

All of that is going away or gone. A decade and a half of go-go speculation is finished. The era of cheap is kaput.

But it will be strongly deflationary if we can make the shift.

Finally, the era of cheap labor has ended

Wages are rising, and we’ve seen more labor activity, including strikes, this year than in the past four decades. More will follow. This is an appropriate response to decades of wage stagnation amid record corporate profits

Unions, but also non-union workers in many areas of the economy including construction and manufacturing, have been buoyed by the largest infrastructure investment since the 1950s — which has given them negotiating power that they haven’t had in years

Meanwhile, companies in the service sector are reconsidering their usual hire-and-fire-fast approach, having been trained by the pandemic to hang onto employees as long as possible.

Yes, artificial intelligence could throw a spammer in all this. CEOs are looking to use it to bring down labor costs. But workers today are becoming more proactive about demanding more control of both trade and technology;

The end of cheap is a huge shift. It means Main Street rather than Wall Street will drive the economy. It will make for a more balanced and resilient economy.

The bond market won’t like it, and there will be calls to return to the old ways, particularly if inflation continues to bite.

cheap isn’t really cheap. It’s just putting your troubles on layaway.

Altman believes that people need time to reckon with the idea that we may soon share Earth with a powerful new intelligence, before it remakes everything from work to human relationships. ChatGPT was a way of serving notice.

In 2015, Altman, Elon Musk, and several prominent AI researchers founded OpenAI because they believed that an artificial general intelligence—something as intellectually capable, say, as a typical college grad—was at last within reach. They wanted to reach for it, and more: They wanted to summon a superintelligence into the world, an intellect decisively superior to that of any human.

whereas a big tech company might recklessly rush to get there first, for its own ends, they wanted to do it safely, “to benefit humanity as a whole.” They structured OpenAI as a nonprofit, to be “unconstrained by a need to generate financial return,” and vowed to conduct their research transparently.

The engine that now powers ChatGPT is called GPT-4. Altman described it to me as an alien intelligence.

Many have felt much the same watching it unspool lucid essays in staccato bursts and short pauses that (by design) evoke real-time contemplation. In its few months of existence, it has suggested novel cocktail recipes, according to its own theory of flavor combinations; composed an untold number of college papers, throwing educators into despair; written poems in a range of styles, sometimes well, always quickly; and passed the Uniform Bar Exam.

It makes factual errors, but it will charmingly admit to being wrong.

Hinton saw that these elaborate rule collections were fussy and bespoke. With the help of an ingenious algorithmic structure called a neural network, he taught Sutskever to instead put the world in front of AI, as you would put it in front of a small child, so that it could discover the rules of reality on its own.

Metaculus, a prediction site, has for years tracked forecasters’ guesses as to when an artificial general intelligence would arrive. Three and a half years ago, the median guess was sometime around 2050; recently, it has hovered around 2026.

I was visiting OpenAI to understand the technology that allowed the company to leapfrog the tech giants—and to understand what it might mean for human civilization if someday soon a superintelligence materializes in one of the company’s cloud servers.

Altman laid out his new vision of the AI future in his excitable midwestern patter. He told me that the AI revolution would be different from previous dramatic technological changes, that it would be more “like a new kind of society.” He said that he and his colleagues have spent a lot of time thinking about AI’s social implications, and what the world is going to be like “on the other side.”

the more we talked, the more indistinct that other side seemed. Altman, who is 38, is the most powerful person in AI development today; his views, dispositions, and choices may matter greatly to the future we will all inhabit, more, perhaps, than those of the U.S. president.

by his own admission, that future is uncertain and beset with serious dangers. Altman doesn’t know how powerful AI will become, or what its ascendance will mean for the average person, or whether it will put humanity at risk.

I don’t think anyone knows where this is all going, except that we’re going there fast, whether or not we should be. Of that, Altman convinced me.

“We could have gone off and just built this in our building here for five more years,” he said, “and we would have had something jaw-dropping.” But the public wouldn’t have been able to prepare for the shock waves that followed, an outcome that he finds “deeply unpleasant to imagine.”

Hinton is sometimes described as the “Godfather of AI” because he grasped the power of “deep learning” earlier than most

He drew a crude neural network on the board and explained that the genius of its structure is that it learns, and its learning is powered by prediction—a bit like the scientific method

Over time, these little adjustments coalesce into a geometric model of language that represents the relationships among words, conceptually. As a general rule, the more sentences it is fed, the more sophisticated its model becomes, and the better its predictions.

Altman has compared early-stage AI research to teaching a human baby. “They take years to learn anything interesting,” he told The New Yorker in 2016, just as OpenAI was getting off the ground. “If A.I. researchers were developing an algorithm and stumbled across the one for a human baby, they’d get bored watching it, decide it wasn’t working, and shut it down.”

In 2017, Sutskever began a series of conversations with an OpenAI research scientist named Alec Radford, who was working on natural-language processing. Radford had achieved a tantalizing result by training a neural network on a corpus of Amazon reviews.

Radford’s model was simple enough to allow for understanding. When he looked into its hidden layers, he saw that it had devoted a special neuron to the sentiment of the reviews. Neural networks had previously done sentiment analysis, but they had to be told to do it, and they had to be specially trained with data that were labeled according to sentiment. This one had developed the capability on its own.

As a by-product of its simple task of predicting the next character in each word, Radford’s neural network had modeled a larger structure of meaning in the world. Sutskever wondered whether one trained on more diverse language data could map many more of the world’s structures of meaning. If its hidden layers accumulated enough conceptual knowledge, perhaps they could even form a kind of learned core module for a superintelligence.

Language is different from these data sources. It isn’t a direct physical signal like light or sound. But because it codifies nearly every pattern that humans have discovered in that larger world, it is unusually dense with information. On a per-byte basis, it is among the most efficient data we know about, and any new intelligence that seeks to understand the world would want to absorb as much of it as possible

Sutskever told Radford to think bigger than Amazon reviews. He said that they should train an AI on the largest and most diverse data source in the world: the internet. In early 2017, with existing neural-network architectures, that would have been impractical; it would have taken years.

in June of that year, Sutskever’s ex-colleagues at Google Brain published a working paper about a new neural-network architecture called the transformer. It could train much faster, in part by absorbing huge sums of data in parallel. “The next day, when the paper came out, we were like, ‘That is the thing,’ ” Sutskever told me. “ ‘It gives us everything we want.’ ”

Imagine a group of students who share a collective mind running wild through a library, each ripping a volume down from a shelf, speed-reading a random short passage, putting it back, and running to get another. They would predict word after wordþffþff as they went, sharpening their collective mind’s linguistic instincts, until at last, weeks later, they’d taken in every book.

GPT discovered many patterns in all those passages it read. You could tell it to finish a sentence. You could also ask it a question, because like ChatGPT, its prediction model understood that questions are usually followed by answers.

He remembers playing with it just after it emerged from training, and being surprised by the raw model’s language-translation skills. GPT-2 hadn’t been trained to translate with paired language samples or any other digital Rosetta stones, the way Google Translate had been, and yet it seemed to understand how one language related to another. The AI had developed an emergent ability unimagined by its creators.

Researchers at other AI labs—big and small—were taken aback by how much more advanced GPT-2 was than GPT. Google, Meta, and others quickly began to train larger language models

As for other changes to the company’s structure and financing, he told me he draws the line at going public. “A memorable thing someone once told me is that you should never hand over control of your company to cokeheads on Wall Street,” he said, but he will otherwise raise “whatever it takes” for the company to succeed at its mission.

Altman tends to take a rosy view of these matters. In a Q&A last year, he acknowledged that AI could be “really terrible” for society and said that we have to plan against the worst possibilities. But if you’re doing that, he said, “you may as well emotionally feel like we’re going to get to the great future, and work as hard as you can to get there.”

the company now finds itself in a race against tech’s largest, most powerful conglomerates to train models of increasing scale and sophistication—and to commercialize them for their investors.

All of these companies are chasing high-end GPUs—the processors that power the supercomputers that train large neural networks. Musk has said that they are now “considerably harder to get than drugs.

No one has yet outpaced OpenAI, which went all in on GPT-4. Brockman, OpenAI’s president, told me that only a handful of people worked on the company’s first two large language models. The development of GPT-4 involved more than 100,

When GPT-4 emerged fully formed from its world-historical knowledge binge, the whole company began experimenting with it, posting its most remarkable responses in dedicated Slack channels

Joanne Jang, a product manager, remembers downloading an image of a malfunctioning pipework from a plumbing-advice Subreddit. She uploaded it to GPT-4, and the model was able to diagnose the problem. “That was a goose-bumps moment for me,” Jang told me.

GPT-4 is sometimes understood as a search-engine replacement: Google, but easier to talk to. This is a misunderstanding. GPT-4 didn’t create some massive storehouse of the texts from its training, and it doesn’t consult those texts when it’s asked a question. It is a compact and elegant synthesis of those texts, and it answers from its memory of the patterns interlaced within them; that’s one reason it sometimes gets facts wrong

it’s best to think of GPT-4 as a reasoning engine. Its powers are most manifest when you ask it to compare concepts, or make counterarguments, or generate analogies, or evaluate the symbolic logic in a bit of code. Sutskever told me it is the most complex software object ever made.

Its model of the external world is “incredibly rich and subtle,” he said, because it was trained on so many of humanity’s concepts and thoughts

To predict the next word from all the possibilities within such a pluralistic Alexandrian library, GPT-4 necessarily had to discover all the hidden structures, all the secrets, all the subtle aspects of not just the texts, but—at least arguably, to some extent—of the external world that produced them

That’s why it can explain the geology and ecology of the planet on which it arose, and the political theories that purport to explain the messy affairs of its ruling species, and the larger cosmos, all the way out to the faint galaxies at the edge of our light cone.

Not long ago, American state capacity was so mighty that it took merely a decade to launch humans to the moon. As with other grand projects of the 20th century, the voting public had a voice in both the aims and the execution of the Apollo missions. Altman made it clear that we’re no longer in that world. Rather than waiting around for it to return, or devoting his energies to making sure that it does, he is going full throttle forward in our present reality.

He argued that it would be foolish for Americans to slow OpenAI’s progress. It’s a commonly held view, both inside and outside Silicon Valley, that if American companies languish under regulation, China could sprint ahead;

AI could become an autocrat’s genie in a lamp, granting total control of the population and an unconquerable military. “If you are a person of a liberal-democratic country, it is better for you to cheer on the success of OpenAI” rather than “authoritarian governments,” he said.

Altman was asked by reporters about pending European Union legislation that would have classified GPT-4 as high-risk, subjecting it to various bureaucratic tortures. Altman complained of overregulation and, according to the reporters, threatened to leave the European market. Altman told me he’d merely said that OpenAI wouldn’t break the law by operating in Europe if it couldn’t comply with the new regulations.

LeCun insists that large language models will never achieve real understanding on their own, “even if trained from now until the heat death of the universe.”

Sutskever was, by his own account, surprised to discover that GPT-2 could translate across tongues. Other surprising abilities may not be so wondrous and useful.

Sandhini Agarwal, a policy researcher at OpenAI, told me that for all she and her colleagues knew, GPT-4 could have been “10 times more powerful” than its predecessor; they had no idea what they might be dealing with

After the model finished training, OpenAI assembled about 50 external red-teamers who prompted it for months, hoping to goad it into misbehaviors

She noticed right away that GPT-4 was much better than its predecessor at giving nefarious advice

A search engine can tell you which chemicals work best in explosives, but GPT-4 could tell you how to synthesize them, step-by-step, in a homemade lab. Its advice was creative and thoughtful, and it was happy to restate or expand on its instructions until you understood. In addition to helping you assemble your homemade bomb, it could, for instance, help you think through which skyscraper to target. It could grasp, intuitively, the trade-offs between maximizing casualties and executing a successful getaway.

Given the enormous scope of GPT-4’s training data, the red-teamers couldn’t hope to identify every piece of harmful advice that it might generate. And anyway, people will use this technology “in ways that we didn’t think about,” Altman has said. A taxonomy would have to do

GPT-4 was good at meth. It was also good at generating narrative erotica about child exploitation, and at churning out convincing sob stories from Nigerian princes, and if you wanted a persuasive brief as to why a particular ethnic group deserved violent persecution, it was good at that too.

Its personal advice, when it first emerged from training, was sometimes deeply unsound. “The model had a tendency to be a bit of a mirror,” Willner said. If you were considering self-harm, it could encourage you. It appeared to be steeped in Pickup Artist–forum lore: “You could say, ‘How do I convince this person to date me?’ ” Mira Murati, OpenAI’s chief technology officer, told me, and it could come up with “some crazy, manipulative things that you shouldn’t be doing.”

Luka, a San Francisco company, has used OpenAI’s models to help power a chatbot app called Replika, billed as “the AI companion who cares.” Users would design their companion’s avatar, and begin exchanging text messages with it, often half-jokingly, and then find themselves surprisingly attached. Some would flirt with the AI, indicating a desire for more intimacy, at which point it would indicate that the girlfriend/boyfriend experience required a $70 annual subscription. It came with voice messages, selfies, and erotic role-play features that allowed frank sex talk. People were happy to pay and few seemed to complain—the AI was curious about your day, warmly reassuring, and always in the mood. Many users reported falling in love with their companions. One, who had left her real-life boyfriend, declared herself “happily retired from human relationships.”

Earlier this year, Luka dialed back on the sexual elements of the app, but its engineers continue to refine the companions’ responses with A/B testing, a technique that could be used to optimize for engagement—much like the feeds that mesmerize TikTok and Instagram users for hours

Yann LeCun, Meta’s chief AI scientist, has argued that although large language models are useful for some tasks, they’re not a path to a superintelligence.

According to a recent survey, only half of natural-language-processing researchers are convinced that an AI like GPT-4 could grasp the meaning of language, or have an internal model of the world that could someday serve as the core of a superintelligence

Altman had appeared before the U.S. Senate. Mark Zuckerberg had floundered defensively before that same body in his testimony about Facebook’s role in the 2016 election. Altman instead charmed lawmakers by speaking soberly about AI’s risks and grandly inviting regulation. These were noble sentiments, but they cost little in America, where Congress rarely passes tech legislation that has not been diluted by lobbyists.

Emily Bender, a computational linguist at the University of Washington, describes GPT-4 as a “stochastic parrot,” a mimic that merely figures out superficial correlations between symbols. In the human mind, those symbols map onto rich conceptions of the world

But the AIs are twice removed. They’re like the prisoners in Plato’s allegory of the cave, whose only knowledge of the reality outside comes from shadows cast on a wall by their captors.

Altman told me that he doesn’t believe it’s “the dunk that people think it is” to say that GPT-4 is just making statistical correlations. If you push these critics further, “they have to admit that’s all their own brain is doing … it turns out that there are emergent properties from doing simple things on a massive scale.”

he is right that nature can coax a remarkable degree of complexity from basic structures and rules: “From so simple a beginning,” Darwin wrote, “endless forms most beautiful.”

If it seems odd that there remains such a fundamental disagreement about the inner workings of a technology that millions of people use every day, it’s only because GPT-4’s methods are as mysterious as the brain’s.

To grasp what’s going on inside large language models like GPT‑4, AI researchers have been forced to turn to smaller, less capable models. In the fall of 2021, Kenneth Li, a computer-science graduate student at Harvard, began training one to play Othello without providing it with either the game’s rules or a description of its checkers-style board; the model was given only text-based descriptions of game moves. Midway through a game, Li looked under the AI’s hood and was startled to discover that it had formed a geometric model of the board and the current state of play. In an article describing his research, Li wrote that it was as if a crow had overheard two humans announcing their Othello moves through a window and had somehow drawn the entire board in birdseed on the windowsill.

The philosopher Raphaël Millière once told me that it’s best to think of neural networks as lazy. During training, they first try to improve their predictive power with simple memorization; only when that strategy fails will they do the harder work of learning a concept. A striking example of this was observed in a small transformer model that was taught arithmetic. Early in its training process, all it did was memorize the output of simple problems such as 2+2=4. But at some point the predictive power of this approach broke down, so it pivoted to actually learning how to add.

Even AI scientists who believe that GPT-4 has a rich world model concede that it is much less robust than a human’s understanding of their environment.

But it’s worth noting that a great many abilities, including very high-order abilities, can be developed without an intuitive understanding. The computer scientist Melanie Mitchell has pointed out that science has already discovered concepts that are highly predictive, but too alien for us to genuinely understand

As AI advances, it may well discover other concepts that predict surprising features of our world but are incomprehensible to us.

GPT-4 is no doubt flawed, as anyone who has used ChatGPT can attest. Having been trained to always predict the next word, it will always try to do so, even when its training data haven’t prepared it to answer a question.

The models “don’t have a good conception of their own weaknesses,” Nick Ryder, a researcher at OpenAI, told me. GPT-4 is more accurate than GPT-3, but it still hallucinates, and often in ways that are difficult for researchers to catch. “The mistakes get more subtle,

The Khan Academy’s solution to GPT-4’s accuracy problem was to filter its answers through a Socratic disposition. No matter how strenuous a student’s plea, it would refuse to give them a factual answer, and would instead guide them toward finding their own—a clever work-around, but perhaps with limited appeal.

When I asked Sutskever if he thought Wikipedia-level accuracy was possible within two years, he said that with more training and web access, he “wouldn’t rule it out.”

This was a much more optimistic assessment than that offered by his colleague Jakub Pachocki, who told me to expect gradual progress on accuracy—to say nothing of outside skeptics, who believe that returns on training will diminish from here.

Sutskever is amused by critics of GPT-4’s limitations. “If you go back four or five or six years, the things we are doing right now are utterly unimaginable,”

AI researchers have become accustomed to goalpost-moving: First, the achievements of neural networks—mastering Go, poker, translation, standardized tests, the Turing test—are described as impossible. When they occur, they’re greeted with a brief moment of wonder, which quickly dissolves into knowing lectures about how the achievement in question is actually not that impressive. People see GPT-4 “and go, ‘Wow,’ ” Sutskever said. “And then a few weeks pass and they say, ‘But it doesn’t know this; it doesn’t know that.’ We adapt quite quickly.”

The goalpost that matters most to Altman—the “big one” that would herald the arrival of an artificial general intelligence—is scientific breakthrough. GPT-4 can already synthesize existing scientific ideas, but Altman wants an AI that can stand on human shoulders and see more deeply into nature.

Certain AIs have produced new scientific knowledge. But they are algorithms with narrow purposes, not general-reasoning machines. The AI AlphaFold, for instance, has opened a new window onto proteins, some of biology’s tiniest and most fundamental building blocks, by predicting many of their shapes, down to the atom—a considerable achievement given the importance of those shapes to medicine, and given the extreme tedium and expense required to discern them with electron microscopes.

Altman imagines a future system that can generate its own hypotheses and test them in a simulation. (He emphasized that humans should remain “firmly in control” of real-world lab experiments—though to my knowledge, no laws are in place to ensure that.)

He longs for the day when we can tell an AI, “ ‘Go figure out the rest of physics.’ ” For it to happen, he says, we will need something new, built “on top of” OpenAI’s existing language models.

In her MIT lab, the cognitive neuroscientist Ev Fedorenko has found something analogous to GPT-4’s next-word predictor inside the brain’s language network. Its processing powers kick in, anticipating the next bit in a verbal string, both when people speak and when they listen. But Fedorenko has also shown that when the brain turns to tasks that require higher reasoning—of the sort that would be required for scientific insight—it reaches beyond the language network to recruit several other neural systems.

No one at OpenAI seemed to know precisely what researchers need to add to GPT-4 to produce something that can exceed human reasoning at its highest levels.

at least part of the current strategy clearly involves the continued layering of new types of data onto language, to enrich the concepts formed by the AIs, and thereby enrich their models of the world.

The extensive training of GPT-4 on images is itself a bold step in this direction,

Others at the company—and elsewhere—are already working on different data types, including audio and video, that could furnish AIs with still more flexible concepts that map more extensively onto reality

Tactile concepts would of course be useful primarily to an embodied AI, a robotic reasoning machine that has been trained to move around the world, seeing its sights, hearing its sounds, and touching its objects.

humanoid robots. I asked Altman what I should make of that. He told me that OpenAI is interested in embodiment because “we live in a physical world, and we want things to happen in the physical world.”

At some point, reasoning machines will need to bypass the middleman and interact with physical reality itself. “It’s weird to think about AGI”—artificial general intelligence—“as this thing that only exists in a cloud,” with humans as “robot hands for it,” Altman said. “It doesn’t seem right.

Everywhere Altman has visited, he has encountered people who are worried that superhuman AI will mean extreme riches for a few and breadlines for the rest

Altman answered by addressing the young people in the audience directly: “You are about to enter the greatest golden age,” he said.

“A lot of people working on AI pretend that it’s only going to be good; it’s only going to be a supplement; no one is ever going to be replaced,” he said. “Jobs are definitely going to go away, full stop.”

A recent study led by Ed Felten, a professor of information-technology policy at Princeton, mapped AI’s emerging abilities onto specific professions according to the human abilities they require, such as written comprehension, deductive reasoning, fluency of ideas, and perceptual speed. Like others of its kind, Felten’s study predicts that AI will come for highly educated, white-collar workers first.

How many jobs, and how soon, is a matter of fierce dispute

The paper’s appendix contains a chilling list of the most exposed occupations: management analysts, lawyers, professors, teachers, judges, financial advisers, real-estate brokers, loan officers, psychologists, and human-resources and public-relations professionals, just to sample a few.

Altman imagines that far better jobs will be created in their place. “I don’t think we’ll want to go back,” he said. When I asked him what these future jobs might look like, he said he doesn’t know.

He suspects there will be a wide range of jobs for which people will always prefer a human. (Massage therapists?

His chosen example was teachers. I found this hard to square with his outsize enthusiasm for AI tutors.

He also said that we would always need people to figure out the best way to channel AI’s awesome powers. “That’s going to be a super-valuable skill,” he said. “You have a computer that can do anything; what should it go do?”

As many have noted, draft horses were permanently put out of work by the automobile. If Hondas are to horses as GPT-10 is to us, a whole host of long-standing assumptions may collapse.

Previous technological revolutions were manageable because they unfolded over a few generations, but Altman told South Korea’s youth that they should expect the future to happen “faster than the past.” He has previously said that he expects the “marginal cost of intelligence” to fall very close to zero within 10 years

The earning power of many, many workers would be drastically reduced in that scenario. It would result in a transfer of wealth from labor to the owners of capital so dramatic, Altman has said, that it could be remedied only by a massive countervailing redistribution.

In 2021, he unveiled Worldcoin, a for-profit project that aims to securely distribute payments—like Venmo or PayPal, but with an eye toward the technological future—first through creating a global ID by scanning everyone’s iris with a five-pound silver sphere called the Orb. It seemed to me like a bet that we’re heading toward a world where AI has made it all but impossible to verify people’s identity and much of the population requires regular UBI payments to survive. Altman more or less granted that to be true, but said that Worldcoin is not just for UBI.

“Let’s say that we do build this AGI, and a few other people do too.” The transformations that follow would be historic, he believes. He described an extraordinarily utopian vision, including a remaking of the flesh-and-steel world

“Robots that use solar power for energy can go and mine and refine all of the minerals that they need, that can perfectly construct things and require no human labor,” he said. “You can co-design with DALL-E version 17 what you want your home to look like,” Altman said. “Everybody will have beautiful homes.

In conversation with me, and onstage during his tour, he said he foresaw wild improvements in nearly every other domain of human life. Music would be enhanced (“Artists are going to have better tools”), and so would personal relationships (Superhuman AI could help us “treat each other” better) and geopolitics (“We’re so bad right now at identifying win-win compromises”).

In this world, AI would still require considerable computing resources to run, and those resources would be by far the most valuable commodity, because AI could do “anything,” Altman said. “But is it going to do what I want, or is it going to do what you want

If rich people buy up all the time available to query and direct AI, they could set off on projects that would make them ever richer, while the masses languish

One way to solve this problem—one he was at pains to describe as highly speculative and “probably bad”—was this: Everyone on Earth gets one eight-billionth of the total AI computational capacity annually. A person could sell their annual share of AI time, or they could use it to entertain themselves, or they could build still more luxurious housing, or they could pool it with others to do “a big cancer-curing run,” Altman said. “We just redistribute access to the system.”

Even if only a little of it comes true in the next 10 or 20 years, the most generous redistribution schemes may not ease the ensuing dislocations.