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Germany’s top court ruled just last year against the removal of a medieval, antisemitic sculpture in the very church where Martin Luther had preached. Despite debates, some swastikas from the Third Reich have been left on church bells.

This propensity for what Ms. Schneidewind calls “historical hoarding” means that many Soviet memorials in East Germany contain Stalin’s name nearly 70 years after the dictator was largely purged from public spaces in Russia itself.

Officials say their duty to care for such memorials dates to the so-called Good Neighbor agreement between Germany and the Soviet Union in 1990. Under that measure, each nation committed itself to the upkeep of the other’s war graves on its territory.

Most of the Red Army monuments in Germany are believed to have been built above the graves of Soviet soldiers or prisoners of war. The Russian Embassy has used the pact to draw the German government’s attention to Soviet monuments, including the one in Lützen, that have been damaged or neglected.

“Instead of tearing them down, you should redefine these memorials,” Mr. Nagel said. “You need to explain why they are here, and why you have a different view of them now.”

In Lützen, local residents say they want to keep their Red Army memorial as it is, a tribute to the central place occupied by the pyramid in the town’s public life during Communist rule. Some remember playing around it while attending the nearby kindergarten, and they say they will fight plans to move it to accommodate a proposed new supermarket.

“This is our history, no matter what is going on in world politics,” said the town’s mayor, Uwe Weiss. “We have to take care of it, because it is part of us.”

Every law embodies a particular hypothesis about how the world works, a hope that if you pull on levers A and B, then outcomes C and D will result

Democrats hope to create an economy where the government doesn’t just help Americans buy green technologies; it also helps nurture the industries that produce that technology.

The idea is this: The era of passive, hands-off government is over. The laws embrace an approach to governing the economy that scholars call “industrial policy,” a catch-all name for a wide array of tools and tactics that all assume the government can help new domestic industries get started, grow, and reach massive scale.

If “this country used to make things,” as the saying goes, and if it wants to make things again, then the government needs to help it. And if the country believes that certain industries bestow a strategic advantage, then it needs to protect them against foreign interference.

From its founding to the 1970s, the country had an economic doctrine that was defined by its pragmatism and the willingness of its government to find new areas of growth.

It’s more like a toolbox of different approaches that act in concert to help push technologies to grow and reach commercial scale. The IRA and the two other new laws prefer four tools in particular.

“Yes, there was an ‘invisible hand,’” Stephen Cohen and Brad DeLong write in their history of the topic, Concrete Economics. “But the invisible hand was repeatedly lifted at the elbow by the government, and placed in a new position from where it could go on to perform its magic.”

That pragmatism faded in the 1980s, when industrial policy became scorned as one more instance of Big Government coming in to pick so-called winners and losers.

The two other large bills passed by this Congress—the $1 trillion bipartisan infrastructure law and the CHIPS and Science Act—make down payments on the future as well; both laws, notably, were passed by bipartisan majorities.

it is in the IRA that these general commitments become specific, and therefore transformative.

Since the 1980s, when Congress has wanted to spur technological progress, it has usually thrown money exclusively at R&D. We have had a science policy, not an industrial policy

inextricable from that turn is Washington’s consuming anxiety over China’s rise—and China has embraced industrial policy.

although not a single Republican voted for the IRA, its wager is not especially partisan or even ideological.

the demonstration project. A demonstration project helps a technology that has previously existed only in the lab get out in the real world for the first time

supply-push policies. As the name suggests, these tools “push” on the supply side of an industry by underwriting new factories or assuring that those factories have access to cheap inputs to make things.

demand-pull policies, which create a market for whatever is coming out of those new factories. The government can “pull” on demand by buying those products itself or by subsidizing them for consumers.

protective policies, meant to insulate industries—especially new ones that are still growing—from foreign interference

Although both parties have moved to embrace industrial policy, Democrats are clearly ahead of their Republican colleagues. You can see it in their policy: While the bipartisan infrastructure law sets up lots of demonstration projects, and the CHIPS Act adopts some supply-push and protectionist theory, only the IRA uses all four tools.

In order to stop climate change, experts believe, the United States must do three things: clean up its power grid, replacing coal and gas power plants with zero-carbon sources; electrify everything it can, swapping fossil-fueled vehicles and boilers with electric vehicles and heat pumps; and mop up the rest, mitigating carbon pollution from impossible-to-electrify industrial activities. The IRA aims to nurture every industry needed to realize that vision.

Hydrogen and carbon removal are going to benefit from nearly every tool the government has. The bipartisan infrastructure law will spend more than $11 billion on hydrogen and carbon-removal “hubs,” huge demonstration projects

These hubs will also foster geographic concentration, the economic idea that when you put lots of people working on the same problem near one another, they solve it faster. You can see such clustering at work in San Francisco’s tech industry, and also in China, which now creates hubs for virtually every activity that it wants to dominate globally—even soccer.

Then the IRA will take over and deploy some good ol’ supply push and demand pull. It includes new programs to underwrite new hydrogen factories; on the demand side, a powerful new tax credit will pay companies for every kilogram of low-carbon hydrogen that they produce

Another tax credit will boost the demand of carbon removal by paying firms a $180 bounty for trapping a ton of carbon dioxide and pumping it undergroun

Today, not only does China make most batteries worldwide; it alone makes the tools that make the batteries, Nathan Iyer, an analyst at RMI, a nonpartisan energy think tank, told me. This extreme geographic concentration—which afflicts not only the battery industry but also the solar-panel industry—could slow down the energy transition and make it more expensive

the new tax credit is also supply-minded, arguably even protectionist. Under the new scheme, very few electric cars and trucks will immediately qualify for that full $7,500 subsidy; it will go only toward vehicles whose batteries are primarily made in North America and where a certain percentage of minerals are mined and processed in the U.S. or one of its allies. Will these policies accelerate the shift to EVs? Well, no, not immediately. But the idea is that by boosting domestic production of EVs, batteries will become cheaper and more abundant—and the U.S. will avoid subsidizing one of China’s growth industries.

Right now, next to no solar panels are made in the U.S., even though the technology was invented here. The IRA endeavors to change that by—you guessed it—a mix of supply-push, demand-pull, and protectionist policies. Under the law, the government will underwrite new factories to make every subcomponent of the solar supply chain; then it will pay those factories for every item that they produce

“It’s realistic that within four to five years, [U.S. solar manufacturers] could completely meet domestic demand for solar,” Scott Moskowitz, the head of public affairs for the solar manufacturer Q CELLS, told me.

In each of these industries, you’ll notice that the government isn’t only subsidizing factories; it is actually paying them to operate. That choice, which is central to the IRA’s approach, is “really defending against the mistakes of the 2009 bill,” Iyer told me. In its stimulus bill passed during the Great Recession, the Obama administration tried to do green industrial policy, underwriting new solar-panel factories across the country. But then Chinese firms began exporting cheap solar panels by the millions, saturating domestic demand and leaving those sparkly new factories idle

So many other industries will also be touched by these laws. There’s a new program to nurture a low-carbon aviation-fuel industry in the U.S. (Long-distance jet travel is one of those climate problems that nobody knows how to solve yet.)

the revelation of the IRA is that decarbonizing the United States may require re-industrializing it. A net-zero America may have more refineries, more factories, and more goods production than a fossil-fueled America—while also having cheaper cars, healthier air, and fewer natural disasters. And once the U.S. gets there, then it can keep going: It can set an example for the world that a populous, affluent country can reduce its emissions while enjoying all the trappings of modernity,

There are a slew of policies meant to grow and decarbonize the U.S. industrial sector; every tax credit pays out a bonus if you use U.S.-made steel, cement, or concrete. “You would need thousands and thousands of words to capture the industries that will be transformed by this,” Josh Freed, the climate and energy leader at Third Way, a center-left think tank, told me.

Five EVs were sold in China last year for every one EV sold in the United States; that larger domestic market will provide a significant economy of scale when Chinese EV makers begin exporting their cars abroad. For that reason and others, many people in China are “deeply skeptical” that the U.S. can catch up with its lead,

We are about to have a huge new set of vested interests who want the economy to be clean and benefit from that. We’ve literally never had that before,” Freed told me.

“This is going to change everything,” he said

that is the IRA’s biggest idea, its biggest hypothesis: that America can improve its standard of living and preserve its global preeminence while ruthlessly eliminating carbon pollution; that climate change, actually, doesn’t change everything, and that in fact it can be addressed by changing as little as possible.

This hypothesis has already proved itself out in one important way, which is that the IRA passed, and the previous 30 years of climate proposals did not. Now comes the real test.

In any case, the fear of nuclear war has been around since the time of Hiroshima, but also, there are other fears. If we don’t get climate policy right, will we all be cooked? Or will climate-induced disruptions lead to great power war, nuclear conflict? Will changing technology — the AIs — take over? Whatever, we live in a time of existential fear, and foreign policy and all kinds of national policy questions get invested with these ultimate questions.

What makes democracy work under those circumstances tends to be senses of identification with elites, with different social-political groups. The glue that holds a democratic society — the cultural glue, intellectual glue, spiritual glue — becomes much more important

In terms of mass societies and democracies and large cultural groups, it’s profoundly destabilizing. You have that problem, that existential fear, which some people respond to by denial, some people fall into extremism — lots of responses, but you can see that.

Then the other thing is that, in a large democratic society like ours — 300-plus million people — if political power was divided equally among all 300 million Americans, it would mean that no one had any power.

Politics is less about, if we raise the sales tax half a percent, is that a good thing or a bad thing on balance? It’s more about, can we save the planet? Can we save human civilization? When people face those kinds of questions without some kind of grounding in some kind of religion, faith, it’s actually . . . There are individual people who can keep their psychological balance in the face of that. There are not many.

The American political-studies belief since World War II has essentially been, democracy is the only stable form of government. Everywhere democracy is inexorably rising, and every other form of government is incredibly unstable. This bears very, very little relationship to the facts outside of Western Europe, let’s say the world of NATO plus Japan and Australia.

to do foreign policy well

Which American president has best understood the Middle East, and then worst? MEAD: Interesting. Nobody’s gotten it totally. I’d say George H.W. Bush and Richard Nixon probably are the two, in my mind, who best understood what they were dealing with.

COWEN: What is it they had that maybe the others didn’t? MEAD: What they saw in the Middle East is that America has both hard-power goals and what you could call soft-power, idealistic goals in the Middle East, that our hard-power goals are vital, and they are achievable. Our soft-power goals are important but largely unachievable. What they did was, they set about dealing with what was essential, and they both did it pretty successfully.

The American academy is actually a terrible place for coming to understand how world politics works.

COWEN: Sorry. Is Germany still part of the Western Alliance? MEAD: Well, in the sense it’s been for some time. I remember that Kennan’s goal for Germany was to have a united, neutral, disarmed Germany at the heart of Europe. In some ways, [laughs] Kennan’s goal looks, maybe, closer than ever.

Look, I think Germany is a country whose basic economic model is now under question. The German model — and it’s very important in understanding that country — is based on the availability of cheap energy from Russia and large markets in China.

Again, let’s remember that the German establishment is more terrified of ordinary German public opinion than even the American liberal establishment is terrified of the Trumpists. You don’t have to look all that deeply into history to see why that would be the case. Providing stability, affluence, and employment for the mass of the German people is a key test of the legitimacy of the German state.

Really, ever since we failed to break up the large German corporations after World War II, that German establishment has been the motor of the astonishing success of postwar Germany. Now, suddenly, that engine is running out of fuel on the one hand, and its key customer, China, regardless of anything about human rights or geopolitics, the goal of the Chinese economic development strategy is to end its dependency on capital goods imported from countries like Germany by becoming an exporter of high-tech capital goods.

China’s development plans, much more than its Taiwan policy or its human rights, is a gun pointed at the head of German business. So, where do they go? It’s not clear where they go. I don’t think it’s clear to them where they go. That means that a fundamental element of the American alliance system is in a completely new place.

I think what we have to be doing in terms of analyzing where German foreign policy goes is to think a little bit less about ideology or things like the German anti-war sentiment or these kinds of things. Yes, these are all there, the Russian soul, all of that. It’s there, but really, how is Germany going to make a living? That’s the question that has to be answered, and that will drive Germany’s orientation in foreign policy.

I think, in our society, the ebbing of religion among some, certainly not all, Americans has tended to dissolve these bonds and leads, in all kinds of ways, both on the left and the right, to some of the sense of suspicion, of paranoia, a lack of trust, and declining support for democracy.

COWEN: How would you describe that advantage? MEAD: I don’t really believe in disciplines. I see connections between things. I start from reality. I’m not trying to be anti-intellectual here. You need ideas to help you organize your perceptions of reality. But I think there’s a tendency in a lot of social science disciplines — you start from a bunch of really smart, engaged people who have been thinking about a set of questions and say, “We’ll do a lot better if we stop randomly thinking about everything that pops up and try, in some systematic way, to organize our thinking of this.”

I think you do get some gains from that, but you see, over time, the focus of the discipline has this tendency to shift. The discipline tends to become more inward navel-gazing. “What’s the history of our efforts to systematize our thinking about this?” The discipline becomes more and more, in a sense, ideological and internally focused and less pragmatic.

I think that some of the problem, though, is not so much in the intellectual weaknesses of a lot of conventional postgrad education, but simply almost the crime against humanity of having whole generations of smart people spend the first 30, 35 years of their lives in a total bubble, where they’re in this academic setting, and the rule . . . They become socialized into the academy, just as much as prisoners get socialized into the routines of a prison.

COWEN: Do you think of it as an advantage that you don’t have a PhD? MEAD: Huge advantage.

COWEN: For our final segment, a few questions about the Walter Russell Mead production function. How much did growing up in South Carolina influence your views on foreign policy? MEAD: I think it’s affected my views of America, and that, in turn, affects my views. Growing up in the segregated South during the civil rights era, where, on the one hand, my father actually knew Martin Luther King and marched with him and was involved in a lot of things; but then I had relatives, older relatives who were very much on the other side. That gave me a certain sense of I could love my grandfather even though he voted for George Wallace.

MEAD: Yes. All right. The fact that I could love him while really disliking his politics helps me understand . . . I think it helps understand some of the divisions in America even today and gives you a more human rather than a strictly ideological look.

But there’s also this: that the South and the White South — which, of course, is where I come from — has had the experience of both being defeated and being wrong. That’s something that a lot of American political culture doesn’t have — your WASP Yankee patricians. I think neoconservatism reflected a sense of people who’ve never been wrong and never been beaten, at least in their own minds. There’s a hubris that comes with that.

Historically, one of the roles of Southern politics — think of William Fulbright during the Vietnam War — both for good and bad reasons, doubt that this American ideological project can be transferred, partly because they know America is bad at reconstruction. The failure of reconstruction, both in terms of the White South and the Black South after the Civil War, is a lesson that you get growing up in the South. And so you have an inherent sense of the limits of America’s ability to transform societies. That’s important.

COWEN: Your foreign policy understanding — what did it learn from going to Groton?

MEAD: Well, I learned a lot there. On the one hand, Groton is a place that prides itself on its tradition of producing foreign policy leaders: Dean Acheson, the Allsopp brothers, Averell Harriman, Franklin Roosevelt. That wonderful book, The Wise Men by David Halberstam — actually, my history teacher is in there. There’s a whole scene that could be from our fourth-form 10th-grade history class.

You got the sense of being part of a tradition, and you got the inside view. The way we were taught American history was in no way idealized. Just, say, reading something like the 1619 Project didn’t come to me as a shock. “Oh my gosh, there was slavery, there was injustice in America.”

In fact, one of the teachers at Groton used to take aside some of the boys — it was an all-boys school at the time — and explain to them how their family fortune was made. He might say, “Well, George, we’ve been reading a lot about war profiteers in World War I. You need to know that your grandfather . . .” Et cetera, et cetera. Unfortunately, none of my grandparents had participated in such things, so there was no need to explain to me the family fortune, as there wasn’t one.

More than that, though, I was at Groton ’65 to ’70. Those were the years of the Vietnam War. The national security adviser at the time, McGeorge Bundy, was the chair of the Groton Board of Trustees, so I had a close-up look at the aggressive self-confidence of the WASP establishment meeting the Vietnam War and beginning to come to grips with what was going wrong.

Those two visions of the inner workings of the American foreign policy elite, and then the ringside seat at the crisis of the old American foreign policy elite, have been profoundly important in my thinking about the world.

COWEN: You meet young people all the time. How do you spot the next Walter Russell Mead? What do you look for?

MEAD: Well, first of all, I’m hoping for somebody who’s a lot better than me. I’m looking for someone — what is it? Whose sandals I am unworthy to buckle. And I would say that I look for, first of all, curiosity, intense curiosity. I look for an understanding that the personal and the political are mixed, that character matters. You can learn about the world by coming to understand your own psychological flaws and distress, and vice versa.

That history matters a lot, and that you can’t know too much history. Now, you have to digest it, but you can’t know too much history. A hunger for travel. I think too many foreign policy types don’t actually get out into the field nearly as much as they should. Curiosity about other cultures. A strong grounding in a faith of your own, which can be a secular ideology, perhaps, in some cases, but more often is likely to be a great religious tradition of some kind.

I’m a Christian. I could wish that everyone was, but my friend Shadi Hamid is a Muslim, and I think his Muslim faith actually helps him navigate and understand the world, and I certainly have lots of Jewish friends in the same circumstance. Again, we’re ending up where we started, maybe, but a religious faith, connected to one of the great historical traditions, gives you a degree of insight and potential for self-criticism that are absolutely crucial to foreign affairs.

Mr. Musk favors intense, one-on-one conversations — one person described a party conversation with him for 90 unbroken minutes about astrophysics.

Mr. Musk once acknowledged in an interview with Axel Springer’s chief executive, Mathias Döpfner, that he gets lonely; in a 2017 interview with Rolling Stone, he said that as a child he vowed to never be alone.

One obvious way that he staves off loneliness is using Twitter. Mr. Musk, who frequently responds to the many Regular Joe accounts that tweet at him, uses the service almost every day, in a way that suggests the website is an outlet not just for his ideas but for his emotions.

“I spent almost every day with Elon for five years — apart from family time, he spends nearly every waking hour working,” Mr. Teller said. “If your idea of fun is a long weekend of rocket engineering in a humid, sparsely populated corner of South Texas, then you should be jealous of Elon’s social life.”

Many of his closest friends are longtime investors in his companies and share his technical worldview and his geeky preoccupations. Mostly in their 40s and 50s, these friends often see Mr. Musk at quiet dinners in the private back rooms of restaurants — low-key affairs in which the conversation turns to subjects like science fiction or World War II fighter planes.

ebecca Eisenberg, a lawyer in Palo Alto, Calif., who was senior counsel at PayPal from 2001 to 2007, was catching up with Mr. Thiel, she said, when Mr. Musk broke into the conversation. According to Ms. Eisenberg, Mr. Musk expressed his opinion that China was likely to invade Taiwan and that the American workers at a new Taiwan-owned chip factory in Arizona would never be as skillful as their Taiwan counterparts. Mr. Thiel, meanwhile, was largely quiet.

“I have two teenagers and four pets,” Ms. Eisenberg said. “It seemed like Peter was the dominant dog, and Elon was trying to impress him.”

One sign of a failed state is that networks of favors and obligations among friends begin to subsume the formal institutional pathways of power in governmen

When rich businesspeople shower lavish favors on powerful jurists—at a moment when questions of economic inequality, business regulation, and corporate power are among the most divisive matters before the courts—can those jurists credibly say they do no service in return?

Crow’s firm did have business before the Supreme Court in 2004—a case from which Thomas did not recuse himself. This brings the Thomas-Crow relationship into a gray area in which no overt crime has occurred, but over which hangs a cloud of suggestive obscurity incompatible with democratic legitimacy.

when elites—both corporate and political—conduct their affairs through “friendly” exchanges of favors and gifts, the result is corruption that can render democracy nonfunctional.

As Gambetta has pointed out, even people who might seem insignificant can play a vital role in a Mafia-style system. They “may be short of cash but capable of returning valuable favors,” he writes. “Services not for sale elsewhere gain common currency here: votes, … bureaucratic dispensations, … selective privileges of all sorts.”

These favors are the great leveler between the rich and powerful and the network of people who “owe” them.

When Neil Gorsuch was nominated to the Supreme Court, he was part owner of a Colorado property that had languished on the market for two years. Shortly after his confirmation, Gorsuch and his co-owners sold it to the chief executive of a law firm with frequent business before the Court. Although Gorsuch declared the amount he earned from the sale on his ethics disclosure form (between $250,001 and $500,000), he notably left blank the name of the buyer. Since then, the law firm has argued at least 22 cases before Gorsuch and his colleagues; in the 12 cases where Gorsuch’s decision is recorded, he decided in favor of the firm’s clients eight times. A coincidence, perhaps. But if it was in any way a “bureaucratic dispensation” in return for taking a justice’s share of a white-elephant property off his hands, the public would never know. That’s the problem. Legitimacy has always been mostly a matter of appearances.

According to whistleblower documents obtained by Insider, Jane Roberts earned more than $10 million in commissions as a legal recruiter from 2007 to 2014, with clients including at least one firm that later appeared before her husband. The Supreme Court operates mostly on an honor system—which becomes untenable if lawyers appear to be seeking favor before the high court by enriching its members’ households, and if justices’ spouses can be plausibly accused of monetizing their proximity to official power.

“Friends of John were mostly friends of Jane, and while it certainly did not harm her access to top people to have John as her spouse, I never saw her ‘use’ that inappropriately,” one of Jane Roberts’s former colleagues told Insider. But another colleague saw her actions as corrupt and filed a whistleblower complaint. As part of her sworn testimony in that case, Jane summed up the modus operandi of the Supreme Court and its circle with a line that could have come straight from the Godfather’s lips: “Successful people have successful friends.”

The oldest of the books of the Hebrew Bible date to roughly 3,000 years ago; the pyramids of Egypt go back about 5,000 years. These were not prehumans or near relatives. They were like us: complex, organized, alive to meaning and living at a time beyond reckoning.

Ruth Tringham of the University of California, Berkeley, who has devoted years to humanizing the remnants of this city of the dim past by focusing on one skeleton, of a woman she has dubbed Dido. Dido replastered her walls regularly, kept her home swept clean, covered the floor in reed mats and decorated the place with art: clay figures of animals and stylized human females. In other words: much like us.

Catalhoyuk was founded by pioneers of urban living. “When the earliest construction began,” Newitz writes, “many people coming to live at Catalhoyuk were only a generation or two removed from nomadism.” It was brand-new, this fixed settlement thing, but it proved remarkably successful. By the time Dido was born, the city was about 600 years old

A thousand years ago, meanwhile, East St. Louis, Ill., was the site of an urban sanctuary that archaeologists today call Cahokia. With a population of 30,000, it was larger than Paris was at the time. Like Paris, with its Eiffel Tower and Notre-Dame, it had distinguishing physical landmarks in the form of black earthen pyramids. It sprawled across both sides of the Mississippi River, beckoning visitors from all over the present-day Southern United States.

Cahokia seems to have been a place of spiritual pilgrimage, which drew diverse groups of Native American peoples, who spoke different languages and worshiped in various ways but came to share a reverence for this city and its ceremonial customs, which included human sacrifice. Its multiethnic, year-round population apparently serviced the religious pilgrims and, in the off-season, went about their own affairs.

Cahokia died not as a result of sudden catastrophe, like Pompeii, but seemingly because it lost its spiritual significance over time. Its people didn’t perish. The pilgrims just stopped coming; the local residents merged with other tribes. There is linguistic and other evidence that the Sioux are their descendants.

Newitz devotes space to debunking the popular notion that civilizations of the past “collapse” and become “lost,” pointing instead to indications of gradual change.

The operative lesson from the past, at least from this curated offering of former metropolises, seems to be that human culture is a plastic thing. Rather than lamenting the fragility of our current urban structures, we might do better figuring out how to bend and shape society for the future.

the effect of reading “Four Lost Cities” was more meditative. This is a long, long, long ride we are on. Much is beyond our control. Humanity trundles on.

“Ideological confrontation, geopolitical rivalry and bloc politics are not a choice for us,” Mr. Xi said in a speech at the opening of the forum at the Great Hall of the People in Beijing.

“What we stand against are unilateral sanctions, economic coercion and decoupling and supply chain disruption,” Mr. Xi said, clearly referring to efforts by the United States and its Western allies to pressure China.

The conference was virtually absent of European Union countries, largely because of the divisiveness of Russia’s war in Ukraine. Prime Minister Viktor Orban of Hungary, an authoritarian-leaning friend of Mr. Putin and Mr. Xi, was the only European Union leader to attend.

Represented instead were nearly 150 developing nations. China has disbursed close to $1 trillion through the Belt and Road initiative, largely in loans, to build power plants, seaports, and other infrastructure across Asia, Africa and Latin America, but some countries are finding their debt obligations onerous.

“The forum has clearly shown that Russia remains a massive country with massive resources, and that they are very far from isolation,” said Artem Lukin, an international relations professor at Far Eastern Federal University, in Vladivostok, Russia. “Asia, and the Global South in general, are clearly showing that the war in Ukraine is not their concern, and that they are more interested in doing business with Russia.”

On Sunday, Mr. Wang told his Saudi counterpart, Prince Faisal bin Farhan, that Israel’s retaliation in Gaza had “already gone beyond self-defense.” He also called on Israel to halt the “collective punishment of the people of Gaza.”

The pointed remarks signal a shift away from China’s stated policy of noninterference in another country’s internal affairs. China typically treads carefully when it comes to conflict in other countries, often opting for neutrality and anodyne statements about supporting peace.

They’re doing this as a way to signal to the Global South that China will support those countries in a way that they probably shouldn’t expect Western countries in general, and the U.S. in particular, to support them,” said Jonathan Fulton, a nonresident senior fellow with the Atlantic Council.

Though Ms. Ocasio-Cortez struggled early on to articulate her views on the Middle East and has never visited the region, the 34-year-old congresswoman has come to embody that generational shift.

She uses terms like “apartheid” and “oppression,” loathed by Israel’s defenders, to describe the treatment of Palestinians. Last week, she called the American Israel Public Affairs Committee, the most powerful pro-Israel lobby and one of Mr. Torres’s top campaign donors, “racist and bigoted.”

“This is pursuing a proven and failed strategy,” Ms. Ocasio-Cortez said in a recent radio interview. “So why do it, why kill kids, why put people in danger, why perpetuate these cycles when we’ve done it so many times, and it’s never kept us safe?”

Ms. Ocasio-Cortez, who did not agree to an interview, met in Washington last month with the families of Jewish hostages kidnapped by Hamas. She has repeatedly condemned the group and supports a two-state solution shunned by some on the left. And at a time when many liberal Jews feel they are being abandoned by the left, she has warned about “disgusting and unacceptable” antisemitism in a post to 8.4 million Instagram followers, saying, “No movement of integrity should tolerate it.”

“You can see how hard Alexandria is trying to listen compassionately across the lines of this conflict,” said Brad Lander, the left-leaning New York City comptroller who is the highest-ranking Jewish city official. “I’m not saying anyone is doing it perfectly, but there is a difference between trying and not trying.”

Mr. Torres has reserved special vitriol for the Democratic Socialists of America, the small but influential leftist group that has pushed for boycotts of Israel and counts Ms. Ocasio-Cortez as a member. In an interview, he said that the D.S.A. was trying to infiltrate the Democratic Party “to impose the ideological litmus tests on Israel” and “cleanse” those who disagree with them. He said he was on a “publicly stated mission” to undermine it.

“I do worry that the next generation is increasingly indoctrinated with anti-Israel hate so virulent that it renders them indifferent to the coldblooded murder of Jews in Israel,”

His views are no surprise to those who watched Mr. Torres, a proud college dropout and defender of public housing, evolve from left-aligned political upstart to more traditional Democratic congressman

It was his first trip abroad, and Mr. Torres said witnessing both the fragility of the frontier and Tel Aviv’s openness to gay life left him with “profound empathy” for Israel and a commitment to a two-state solution.

5. Proportionality should be a guideline in war

8. Be prepared to re-examine your reasoning

1. The human race will not eliminate war in this century, but we can reduce the brutality of war—the level of killing—by adhering to the principles of a "Just War," in particular to the principle of "proportionality."

5. We, the richest nation in the world, have failed in our responsibility to our own poor and to the disadvantaged across the world to help them advance their welfare in the most fundamental terms of nutrition, literacy, health and employment.

8. War is a blunt instrument by which to settle disputes between or within nations, and economic sanctions are rarely effective. Therefore, we should build a system of jurisprudence based on the International Court—that the U.S. has refused to support—which would hold individuals responsible for crimes against humanity.

9. If we are to deal effectively with terrorists across the globe, we must develop a sense of empathy—I don't mean "sympathy," but rather "understanding"—to counter their attacks on us and the Western World.

3. We underestimated the power of nationalism to motivate a people to fight and die for their beliefs and values.

5. We failed then — and have since — to recognize the limitations of modern, high-technology military equipment, forces, and doctrine.

. We failed, as well, to adapt our military tactics to the task of winning the hearts and minds of people from a totally different culture

9. We did not recognize that neither our people nor our leaders are omniscient. Our judgment of what is in another people's or country's best interest should be put to the test of open discussion in international forums. We do not have the God-given right to shape every nation in our image or as we choose.

10. We did not hold to the principle that U.S. military action … should be carried out only in conjunction with multinational forces supported fully (and not merely cosmetically) by the international community.

11. We failed to recognize that in international affairs, as in other aspects of life, there may be problems for which there are no immediate solutions … At times, we may have to live with an imperfect, untidy world.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

America today is torn apart, culturally and politically, by the continuing legacy of deindustrialization, and material deprivation is only one reason. The displaced manufacturing workers in the Rust Belt and elsewhere did find new jobs, in the main. But many of them seem to derive less meaning from filling orders in an Amazon warehouse or driving for Uber than their forebears had when they were building cars and forging steel—work that felt more central to the grand project of civilization.

It’s hard to imagine how a corresponding crisis of meaning might play out for the professional class, but it surely would involve a great deal of anger and alienation.

Even if we avoid a revolt of the erstwhile elite, larger questions of human purpose will linger. If AI does the most difficult thinking on our behalf, we all may lose agency—at home, at work (if we have it), in the town square—becoming little more than consumption machines, like the well-cared-for human pets in WALL-E

Altman has said that many sources of human joy and fulfillment will remain unchanged—basic biological thrills, family life, joking around, making things—and that all in all, 100 years from now, people may simply care more about the things they cared about 50,000 years ago than those they care about today

In its own way, that too seems like a diminishment, but Altman finds the possibility that we may atrophy, as thinkers and as humans, to be a red herring. He told me we’ll be able to use our “very precious and extremely limited biological compute capacity” for more interesting things than we generally do today.

Yet they may not be the most interesting things: Human beings have long been the intellectual tip of the spear, the universe understanding itself. When I asked him what it would mean for human self-conception if we ceded that role to AI, he didn’t seem concerned. Progress, he said, has always been driven by “the human ability to figure things out.” Even if we figure things out with AI, that still counts, he said.

It’s not obvious that a superhuman AI would really want to spend all of its time figuring things out for us.

I asked Sutskever whether he could imagine an AI pursuing a different purpose than simply assisting in the project of human flourishing.

“I don’t want it to happen,” Sutskever said, but it could.

Sutskever has recently shifted his focus to try to make sure that it doesn’t. He is now working primarily on alignment research, the effort to ensure that future AIs channel their “tremendous” energies toward human happiness

It is, he conceded, a difficult technical problem—the most difficult, he believes, of all the technical challenges ahead.

As part of the effort to red-team GPT-4 before it was made public, the company sought out the Alignment Research Center (ARC), across the bay in Berkeley, which has developed a series of evaluations to determine whether new AIs are seeking power on their own. A team led by Elizabeth Barnes, a researcher at ARC, prompted GPT-4 tens of thousands of times over seven months, to see if it might display signs of real agency.

The ARC team gave GPT-4 a new reason for being: to gain power and become hard to shut down

Agarwal told me that this behavior could be a precursor to shutdown avoidance in future models. When GPT-4 devised its lie, it had realized that if it answered honestly, it may not have been able to achieve its goal. This kind of tracks-covering would be particularly worrying in an instance where “the model is doing something that makes OpenAI want to shut it down,” Agarwal said. An AI could develop this kind of survival instinct while pursuing any long-term goal—no matter how small or benign—if it feared that its goal could be thwarted.

Barnes and her team were especially interested in whether GPT-4 would seek to replicate itself, because a self-replicating AI would be harder to shut down. It could spread itself across the internet, scamming people to acquire resources, perhaps even achieving some degree of control over essential global systems and holding human civilization hostage.

When I discussed these experiments with Altman, he emphasized that whatever happens with future models, GPT-4 is clearly much more like a tool than a creature. It can look through an email thread, or help make a reservation using a plug-in, but it isn’t a truly autonomous agent that makes decisions to pursue a goal, continuously, across longer timescales.

Altman told me that at this point, it might be prudent to try to actively develop an AI with true agency before the technology becomes too powerful, in order to “get more comfortable with it and develop intuitions for it if it’s going to happen anyway.”

“We need to do empirical experiments on how these things try to escape control,” Hinton told me. “After they’ve taken over, it’s too late to do the experiments.”

the fulfillment of Altman’s vision of the future will at some point require him or a fellow traveler to build much more autonomous AIs.

When Sutskever and I discussed the possibility that OpenAI would develop a model with agency, he mentioned the bots the company had built to play Dota 2. “They were localized to the video-game world,” Sutskever told me, but they had to undertake complex missions. He was particularly impressed by their ability to work in concert. They seem to communicate by “telepathy,” Sutskever said. Watching them had helped him imagine what a superintelligence might be like.

“The way I think about the AI of the future is not as someone as smart as you or as smart as me, but as an automated organization that does science and engineering and development and manufacturing,”

Suppose OpenAI braids a few strands of research together, and builds an AI with a rich conceptual model of the world, an awareness of its immediate surroundings, and an ability to act, not just with one robot body, but with hundreds or thousands. “We’re not talking about GPT-4. We’re talking about an autonomous corporation,”

Its constituent AIs would work and communicate at high speed, like bees in a hive. A single such AI organization would be as powerful as 50 Apples or Googles, he mused. “This is incredible, tremendous, unbelievably disruptive power.”

Presume for a moment that human society ought to abide the idea of autonomous AI corporations. We had better get their founding charters just right. What goal should we give to an autonomous hive of AIs that can plan on century-long time horizons, optimizing billions of consecutive decisions toward an objective that is written into their very being?

If the AI’s goal is even slightly off-kilter from ours, it could be a rampaging force that would be very hard to constrain

We know this from history: Industrial capitalism is itself an optimization function, and although it has lifted the human standard of living by orders of magnitude, left to its own devices, it would also have clear-cut America’s redwoods and de-whaled the world’s oceans. It almost did.

one of its principal challenges will be making sure that the objectives we give to AIs stick

We can program a goal into an AI and reinforce it with a temporary period of supervised learning, Sutskever explained. But just as when we rear a human intelligence, our influence is temporary. “It goes off to the world,”

That’s true to some extent even of today’s AIs, but it will be more true of tomorrow’s.

He compared a powerful AI to an 18-year-old heading off to college. How will we know that it has understood our teachings? “Will there be a misunderstanding creeping in, which will become larger and larger?”

Divergence may result from an AI’s misapplication of its goal to increasingly novel situations as the world changes

Or the AI may grasp its mandate perfectly, but find it ill-suited to a being of its cognitive prowess. It might come to resent the people who want to train it to, say, cure diseases. “They want me to be a doctor,” Sutskever imagines an AI thinking. “I really want to be a YouTuber.”

If AIs get very good at making accurate models of the world, they may notice that they’re able to do dangerous things right after being booted up. They might understand that they are being red-teamed for risk, and hide the full extent of their capabilities.

hey may act one way when they are weak and another way when they are strong, Sutskever said

We would not even realize that we had created something that had decisively surpassed us, and we would have no sense for what it intended to do with its superhuman powers.

That’s why the effort to understand what is happening in the hidden layers of the largest, most powerful AIs is so urgent. You want to be able to “point to a concept,” Sutskever said. You want to be able to direct AI toward some value or cluster of values, and tell it to pursue them unerringly for as long as it exists.

we don’t know how to do that; indeed, part of his current strategy includes the development of an AI that can help with the research. If we are going to make it to the world of widely shared abundance that Altman and Sutskever imagine, we have to figure all this out.

This is why, for Sutskever, solving superintelligence is the great culminating challenge of our 3-million-year toolmaking tradition. He calls it “the final boss of humanity.”

“First of all, I think that whether the chance of existential calamity is 0.5 percent or 50 percent, we should still take it seriously,”

. “I don’t have an exact number, but I’m closer to the 0.5 than the 50.”

As to how it might happen, he seems most worried about AIs getting quite good at designing and manufacturing pathogens, and with reason: In June, an AI at MIT suggested four viruses that could ignite a pandemic, then pointed to specific research on genetic mutations that could make them rip through a city more quickly

Around the same time, a group of chemists connected a similar AI directly to a robotic chemical synthesizer, and it designed and synthesized a molecule on its own.

Altman worries that some misaligned future model will spin up a pathogen that spreads rapidly, incubates undetected for weeks, and kills half its victims. He worries that AI could one day hack into nuclear-weapons systems too. “There are a lot of things,” he said, and these are only the ones we can imagine.

Altman told me that he doesn’t “see a long-term happy path” for humanity without something like the International Atomic Energy Agency for global oversight of AI

In San Francisco, Agarwal had suggested the creation of a special license to operate any GPU cluster large enough to train a cutting-edge AI, along with mandatory incident reporting when an AI does something out of the ordinary

Other experts have proposed a nonnetworked “Off” switch for every highly capable AI; on the fringe, some have even suggested that militaries should be ready to perform air strikes on supercomputers in case of noncompliance

Sutskever thinks we will eventually want to surveil the largest, most powerful AIs continuously and in perpetuity, using a team of smaller overseer AIs.

Safety rules for a new technology usually accumulate over time, like a body of common law, in response to accidents or the mischief of bad actors. The scariest thing about genuinely powerful AI systems is that humanity may not be able to afford this accretive process of trial and error. We may have to get the rules exactly right at the outset.

Several years ago, Altman revealed a disturbingly specific evacuation plan he’d developed. He told The New Yorker that he had “guns, gold, potassium iodide, antibiotics, batteries, water, gas masks from the Israeli Defense Force, and a big patch of land in Big Sur” he could fly to in case AI attacks.

if the worst-possible AI future comes to pass, “no gas mask is helping anyone.”

but he told me that he can’t really be sure how AI will stack up. “I just have to build the thing,” he said. He is building fast

Altman insisted that they had not yet begun GPT-5’s training run. But when I visited OpenAI’s headquarters, both he and his researchers made it clear in 10 different ways that they pray to the god of scale. They want to keep going bigger, to see where this paradigm leads. After all, Google isn’t slackening its pace; it seems likely to unveil Gemini, a GPT-4 competitor, within months. “We are basically always prepping for a run,

To think that such a small group of people could jostle the pillars of civilization is unsettling. It’s fair to note that if Altman and his team weren’t racing to build an artificial general intelligence, others still would be

Altman’s views about the likelihood of AI triggering a global class war, or the prudence of experimenting with more autonomous agent AIs, or the overall wisdom of looking on the bright side, a view that seems to color all the rest—these are uniquely his

No single person, or single company, or cluster of companies residing in a particular California valley, should steer the kind of forces that Altman is imagining summoning.

AI may well be a bridge to a newly prosperous era of greatly reduced human suffering. But it will take more than a company’s founding charter—especially one that has already proved flexible—to make sure that we all share in its benefits and avoid its risks. It will take a vigorous new politics.

I don’t think the general public has quite awakened to what’s happening. A global race to the AI future has begun, and it is largely proceeding without oversight or restraint. If people in America want to have some say in what that future will be like, and how quickly it arrives, we would be wise to speak up soon.

So extreme is inequality that the lowest-earning 50% of the world population – 4 billion people – account for as little as 12% of total emissions.

And those at the very bottom of the pile barely register at all. Mali’s per capita C02 emissions are about one-seventy-fifth of those in the US. Even if the lowest-earning third of the global population – more than 2.6 billion people – were to raise themselves above the $3.2-a-day poverty line, it would increase total emissions by a mere 5% – that is, one-third of the emissions of the richest 1%.

Half the world’s population, led by the top 10% of the income distribution – and, above all, by the global elite – drive a globe-spanning productive system that destabilises the environment for everyone

The worst effects are suffered by the poorest, and in the coming decades the impact will become progressively more extreme. And yet their poverty means they are virtually powerless to protect themselves.

This is the triple inequality that defines the climate global equation: the disparity in responsibility for producing the problem; the disparity in experiencing the impacts of the climate crisis; and the disparity in the available resources for mitigation and adaptation.

global heating will pose huge distributional problems. How will climate refugees be resettled? How will the economy adapt?

For fragile states such as Iraq, it may prove too much. The risk is that they will tip from just about coping into outright collapse, failing to provide water and the electricity for cooling – the bare essentials for survival in extreme heat

You might say, plus ça change. The poor suffer and the rich prosper. But the consequences of the climate triple inequality are radical and new

Rich countries have long traded on unequal terms with the poor. During the era of colonialism, they plundered raw materials and enslaved tens of millions. For two generations after decolonisation, economic growth largely bypassed what was then known as the third world.

As we run ever closer to the edge of the environmental envelope – the conditions within which our species can thrive – the development of the rich world systematically undercuts the conditions for survival of billions of people in the climate danger zone

The middle 40% of the world’s income distribution now account for 41% of global emissions, meaning they have achieved a considerable level of energy consumption. But this “global middle class”, concentrated above all in east Asia, crowds out the carbon budget remaining for those on the lowest incomes, and their growth inflicts irreversible damage on some of the poorest and most disempowered people in the world.

Since the 1980s, with the acceleration of China’s economic growth, the scope of development has dramatically widened.

They are not so much exploited or bypassed as victimised by the climactic effects of economic growth taking place elsewhere. This violent and indirect entanglement is new in its quality and scale

Violent and unequal relationships between groups usually involve some degree of interaction and can, as a result, be resisted. Workers can strike.

But arms-length ecological victimisation entails no such relationship and offers correspondingly fewer channels for resistance from within the system.

can we not hope for more constructive responses to the triple inequality?

This question is still what gives such huge importance to the global climate conferences such as Cop28, which starts on 30 November. They may seem like staid and ritualistic affairs, but it is in such venues that the lethal connection between oil, gas and coal production, rich-world consumption and the lethal risks facing those in the climate danger zone can be articulated in political form.

since then the resistance of US and European negotiators has hardened. As we approach Cop28, the organisation and the financing of the fund are yet

Such a fund is no solution to the problem of the triple inequality. For that we need a comprehensive energy transition and new models of truly inclusive and sustainable development

But a loss and damage fund does one essential thing. It recognises that the global climate crisis is no longer a problem of future development. We have entered the stage where the failure to urgently address the mounting crisis becomes an active process of victimisation. A victimisation that cries out, at least, for an admission of responsibility and adequate compensation.

Adam Tooze is a professor of history at Columbia University

More than one million people have died from Covid, a once unimaginable figure

An increase in drug deaths, combined with Covid, has led overall life expectancy in America to decline to a degree not seen since World War II.

Police killings of unarmed Black men continue long past vows for reform.

“You can’t underestimate the need for belonging,” she said. When something terrible happens, people want to connect with their “in-group,” she said, where they feel they belong, which can push people further into partisan camps.

Rabbi Mychal B. Springer, the manager of clinical pastoral education at NewYork-Presbyterian Hospital, has found herself returning to an ancient Jewish writing in the Mishnah, which says that when God began creating, God created a single person.

“The teaching is, each person is so precious that the whole world is contained in that person, and we have to honor that person completely and fully,” she said. “If a single person dies, the whole world dies, and if a single person is saved, then the whole world is saved.”

We can only value life if we are willing to truly grieve, to truly face the reality of suffering

“It’s not that we don’t care. We’ve reached the limit of how much we can cry and hurt,” she said. “And yet we have to. We have to value each life as a whole world, and be willing to cry for what it means that that whole world has been lost.”

The mountain of calamities, and the paralysis over how to overcome it, points to a nation struggling over some fundamental questions: Has our tolerance as a country for such horror grown, dusting off after one event before moving on to the next? How much value do we place in a single human life?

Valuing life and working for healing means going outside of one’s self, and one’s own group, she said.

“This will require collective action,” she said. “And part of the problem is we are very divided right now.”

American culture often prizes individual liberty above collective needs. But ultimately humans are born to care about others and to not turn away,

“Human beings are born for meaning,” she said. “We have very, very large souls. We are born for generosity, we are born for compassion.”

What is standing in the way of a proper valuation of life, she said, is “our very, very disordered relationship with death.”

n the United States, denial of death has reached an extreme form, she said, where many focus on themselves to avoid the fear of death.

That fear cuts through “all tendrils of conscience, and common good, and capacity to act together,” she said, “because in the final analysis we have become animals saving our own skin, the way we seem to save our own skin is repression and dissociation.”

The United States is an outlier in the level of gun violence it tolerates. The rate and severity of mass shootings is without parallel in the world outside conflict zones.America has “a love affair with violence,”

Violence is an almost a normal part of life in the United States, she said, and valuing life takes consistently asking how am I committed to nonviolence today? It also means giving some things up, she said — many people think of themselves as nonviolent, but consume violence in entertainment.

“The question that should scare us is, what will it take to make us collectively bring about this change?

“Maybe this is our life’s work,” she said. “Maybe this is our work as humans.”

“But when I slow down I realize there is something alive in our culture that has harmed those people,” she said. “Whatever that something is, it is harming all of us, we are all vulnerable to it, it wields some sort of influence upon us, no matter who we are.”

From Papua New Guinea to Palau, the countries of the region have jurisdiction over an area of ocean three times as large as the continental United States, stretching from just south of Hawaii to exclusive economic zones butting up against Australia, Japan and the Philippines.

Chinese fishing fleets already dominate the seas between the area’s roughly 30,000 islands, seizing huge hauls of tuna while occasionally sharing intelligence on the movements of the U.S. Navy. If China can add ports, airports and outposts for satellite communications — all of which are edging closer to reality in some Pacific Island nations — it could help in intercepting communications, blocking shipping lanes and engaging in space combat.

Mr. Wang signed several new agreements, including a security deal that gives China the power to send security forces to quell unrest or protect Chinese investments, and possibly to build a port for commercial and military use.

Chinese officials deny that’s the plan. But the deal — along with others in the Solomons and Kiribati whose details have not been disclosed — has been made possible because of something else that’s visible and much-discussed in the Pacific: a longstanding lack of American urgency, innovation and resources.

American officials point out that the United States does have big military bases in Guam, along with close ties to countries like the Marshall Islands. And in February, Antony J. Blinken became the first secretary of state in 36 years to visit Fiji, where he announced that the United States would reopen an embassy in the Solomon Islands and engage more on issues like illegal fishing and climate change.

The Yanks, it is often said, used to be more productive. Many of the airports and hospitals still in use across the Pacific were built by the United States and its allies during World War II.

“The United States doesn’t have a significant presence in the Pacific at all,” said Anna Powles, a senior lecturer in security studies at Massey University in New Zealand. “I’m always shocked that in Washington they think they have a significant presence when they just don’t.”

“There’s a lot of talk,” said Sandra Tarte, the head of the government and international affairs department at the University of the South Pacific in Suva. “And not much real substance.”

Mr. Blinken said last week that “China is the only country with both the intent to reshape the international order and, increasingly, the economic, diplomatic, military and technological power to do it.” He promised that the United States would “shape the strategic environment around Beijing to advance our vision for an open and inclusive international system.”

The start-up embassy in the Solomons also looks less impressive on closer inspection. Replacing an embassy that closed in the 1990s during America’s post-Cold War withdrawal, the outpost will begin in leased office space with two U.S. staff members and five local hires.

The American Embassy, by contrast, sits on a hillside far from downtown Suva in a heavily fortified compound. It covers five nations (Fiji, Kiribati, Nauru, Tonga and Tuvalu), doesn’t have a full-time ambassador — President Biden nominated someone only last week — and is known for being understaffed.

Joseph Veramu, a former U.N. consultant who runs Integrity Fiji, which focuses on values like transparency, said in an interview in Suva that he had invited U.S. embassy officials to events five or six times in recent years. Only once did someone come — without saying much, and refusing to allow photos.

But what they do want, and what China seems better at providing right now, is consistent engagement and capacity building.

While the United States has shown off Coast Guard vessels it is using to police illegal fishing, China is planning to build maritime transportation hubs and high-tech law enforcement centers where Chinese officers can provide expertise and equipment.

“China has always maintained that big and small countries are all equals,” Mr. Xi, the Chinese leader, said in a written message to Pacific foreign ministers on Monday. “No matter how international circumstances fluctuate, China will always be a good friend.”

Clearly, China intends to keep emphasizing that friendship means building stuff and offering promises of prosperity, while expecting news censorship, resource access and security opportunities in exchange.

The pressing question in this part of the world is: What does friendship mean to America?

In 1453, Mehmed II the Conqueror led the Ottoman Turks in seizing the ancient city of Constantinople, the Byzantine Empire’s capital. This put an end to 1,000-year reign of the Byzantine Empire.

Sultan Mehmed renamed the city Istanbul, meaning “the city of Islam” and made it the new capital of the Ottoman Empire.

By 1517, Bayezid’s son, Selim I, brought Syria, Arabia, Palestine, and Egypt under Ottoman control.

The Ottoman Empire reached its peak between 1520 and 1566, during the reign of Suleiman the Magnificent

The Ottomans were known for their achievements in art, science and medicine.

Some of the most popular forms of art included calligraphy, painting, poetry, textiles and carpet weaving, ceramics and music.