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So when did the Anthropocene actually start? It is difficult to put a precise date on a transition that occurred at different times and rates in different places, but it is clear that in 1750, the Industrial Revolution had barely begun but by 1850 it had almost completely transformed England and had spread to many other countries in Europe and across the Atlantic to North America. We thus suggest that the year AD 1800 could reasonably be chosen as the beginning of the Anthropocene

The fraction of the land surface devoted to intensive human activity rose from about 10 to about 25–30% [56]

Only by 1850 did the CO 2 concentration (285 ppm) reach the upper limit of natural Holocene variability and by 1900 it had climbed to 296 ppm [58], just high enough to show a discernible human influence beyond natural variability. Since the mid-twentieth century, the rising concentration and isotopic composition of CO 2 in the atmosphere have been measured directly with great accuracy [60], and has shown an unmistakable human imprint.

The result of these and other energy-dependent processes and activities was a significant increase in the human enterprise and its imprint on the environment. Between 1800 and 2000, the human population grew from about one billion to six billion, while energy use grew by about 40-fold and economic production by 50-fold [55].

The human enterprise switched gears after World War II. Although the imprint of human activity on the global environment was, by the mid-twentieth century, clearly discernible beyond the pattern of Holocene variability in several important ways, the rate at which that imprint was growing increased sharply at midcentury. The change was so dramatic that the 1945 to 2000+ period has been called the Great Acceleration

What finally triggered the Great Acceleration after the end of World War II? This war undoubtedly drove the final collapse of the remaining pre-industrial European institutions that contributed to the depression and, indeed, to the Great War itself. But many other factors also played an important role [55,61]. New international institutions—the so-called Bretton Woods institutions—were formed to aid economic recovery and fuel renewed economic growth. Led by the USA, the world moved towards a system built around neo-liberal economic principles, characterized by more open trade and capital flows. The post-World War II economy integrated rapidly, with growth rates reaching their highest values ever in the 1950–1973 period.

In other words, AOC can win in NY-14 but AOC-type candidates are no solution at all to the Democrats’ working class problems in most areas of the country. The grim fact is that as education polarization has played out geographically, Democratic votes are now distributed so inefficiently that the translation of these votes into political power has been severely undercut

As a result, Democrats’ hold on political power is ever on a knife’s edge even when their last election was a good one (as it is today).

Consistent with other recent research, the study finds that:

Working-class voters prefer progressive candidates who focus primarily on bread-and-butter economic issues, and who frame those issues in universal terms.

Candidates whose campaigns focused primarily on universalist policy issues such as jobs, health care, and the economy performed better than those who focused on group-specific policies, such as racial justice or immigration.

In addition, woke messaging decreased the appeal of other candidate characteristics. For example, candidates employing woke messaging who championed either centrist or progressive economic, health care, or civil rights policy priorities were viewed less favorably than their counterparts who championed the same priorities but opted for universalist messaging.

easier said than done given Democrats’ recent evolution away from universalist messaging and toward foregrounding the equity effects of unambiguously universal programs and deferring to group specific concerns around race, gender and sexuality, even where they are clearly unpopular and dubious as policy. The result has a been a shift in the Democratic party “brand” that has created barriers to Democratic party voting among broad swathes of the working class.

The grim prospects for the Democrats in 2022 and the gut-wrenching prospect of losing the White House to Donald Trump (again) in 2024 make clear the stakes.

A Democratic brand reset is clearly in order to stop the bleeding among working class voters, along the lines suggested by the Jacobin study. A good way to start would be to embrace widely-held American views and values that are particularly strong among the multiracial working class.

Equality of opportunity is a fundamental American principle; equality of outcome is not.America is not perfect but it is good to be patriotic and proud of the country.

Discrimination and racism are bad but they are not the cause of all disparities in American society.No one is completely without bias but calling all white people racists who benefit from white privilege and American society a white supremacist society is not right or fair.

America benefits from the presence of immigrants and no immigrant, even if illegal, should be mistreated. But border security is still important, as is an enforceable system that fairly decides who can enter the country.Police misconduct and brutality against people of any race is wrong and we need to reform police conduct and recruitment. But crime is a real problem so more and better policing is needed for public safety. That cannot be provided by “defunding the police”.

There are underlying differences between men and women but discrimination on the basis of gender is wrong.There are basically two genders but people who want to live as a gender different from their biological sex should have that right and not be discriminated against. However, there are issues around child consent to transitioning and participation in women’s sports that are complicated and not settled.

Racial achievement gaps are bad and we should seek to close them. However, they are not due just to racism and standards of high achievement should be maintained for people of all races.Language policing has gone too far; by and large, people should be able to express their views without fear of sanction by employer, school, institution or government. Good faith should be assumed, not bad faith.

Besides positively embracing these views it is necessary for major Democratic officeholders and candidates to actively dissociate themselves and their party from the woke stances that contradict these views and tarnish their brand among working class voters. That entails not just saying that one does not endorse now-familiar strands of cultural leftism but in some well-chosen places directly criticizing by name some who hold extreme views that are associated with the Democrats. That will be of great assistance in getting the message through to average working class voters.

these views are entirely consistent with a very progressive Democratic program in the areas of health care, education, social programs, jobs and the economy that would disproportionately benefit the poor and working class, and therefore blacks and Hispanics.

In that sense, one might respond to the inevitable accusation that a universalist, mainstream approach is tantamount to throwing loyal Democratic constituencies in need of help “under the bus”: who is throwing whom under the bus? Perhaps it is those who stand in the way of a Democratic approach that could plausibly generate the widest possible support that are throwing those who need help the most under the bus.

And this approach, unlike the Democrats’ current default setting, has the potential to make the Democrats and their progressive policies consistent winners

and he refused.

Wednesday was like no day I can recall in the history of the court, opening as it did with a “joint statement” released by Gorsuch and Sotomayor in which the two announced that the “reporting that Justice Sotomayor asked Justice Gorsuch to wear a mask surprised us. It is false. While we may sometimes disagree about the law, we are warm colleagues and friends.”

“I did not request Justice Gorsuch or any other Justice to wear a mask on the bench,” and further affirmed that Roberts would have no additional comment. In other words, everyone has clarified that Gorsuch refuses to mask, that Sotomayor cannot come to court, and that nobody has asked him to do otherwise, but also that there is nothing to see here, kindly move along.

as NPR stands behind its story, conservatives claim that NPR is lying, and liberals claim that the issue isn’t who said what, so much as one justice refusing to make the workplace safe for a colleague.

Mike Davis—a minor player in the push to confirm Donald Trump’s judges and, more importantly, a former clerk and current friend of Gorsuch. Davis criticized the NPR story on Fox News on Wednesday. He was quick to condemn Ruth Marcus at the Washington Post and Nina Totenberg at NPR for, he claimed, intentionally spreading misinformation to smear Gorsuch.

whether Gorsuch is a monster or a libertarian hero is kind of unknowable without more information and also kind of irrelevant. I just wanted the court to tell us what their public health rules were, and when, and if the justices declined to abide by their own rules, to explain why.

The Supreme Court spent a bunch of money to upgrade the air filtration system, and for months, all nine Justices sat through these oral arguments, eight of them without masks. It was not an issue. Justice Sotomayor wore a mask, the other eight didn’t. And so two Fridays ago for some reason, the science somehow changed for the two COVID [mandate] cases, and Gorsuch didn’t want to play along with that. He wasn’t going to play politics. So he continued to do what he did for the prior months and not wear his mask.

Gorsuch believes that to wear a mask in January if you were not wearing one in November is to “play politics,” rather to respond directly to the evolving situation that is the coronavirus pandemic. Which means, one must also infer, that Justices like Sam Alito and Clarence Thomas are “playing politics” by wearing masks now when they didn’t do so before. This is deeply strange not just because it denies that “the science changed” around omicron (it did). It’s deeply strange in that he expressly links the change in the court’s masking policy to the public oral arguments in the vaccine-or-test cases, suggesting that the two are somehow related, rather than simply coinciding in time.

His argument, ostensibly on behalf of Gorsuch—that the decision of justices to don masks this month is all gratuitous virtue signaling about an imaginary spike in a pandemic that coincides with oral arguments on the topic—is actually one of the most damning things I’ve read all week. He isn’t saying Gorsuch wants to infect his colleague. He seems to be saying that, the science notwithstanding, masks don’t make a lick of difference and everyone aside from himself is buckling to the creeping evil of the Fauci state.

Imagine if everyone had simply put on a mask for a few weeks, not because the science was perfect, but out of respect for a colleague they loudly claim to adore.

Gorsuch still isn’t wearing a mask, and Sotomayor is still phoning in from the safety of her chambers. Call it “playing politics,” but in another time, demonstrating out of an abundance of caution some regard for your colleagues’ health—without being asked—would have merely been “leadership,” or “empathy,” or even “humility.”  That other time is long gone. We are all of us scorpions in a bottle now.

Napoleon’s legacy is now wrapped up in France’s cultural wars. France grapples with him just as Americans weigh Jefferson and Washington’s contributions to the country with their ownership of slaves. However, history is not black and white. Both sides leave out large swaths of history when making their cases. Macron, ever the politician, attempted to appease them both by visiting the Little Corporeal’s tomb at Les Invalides, while also attacking him in his remarks. The self-proclaimed emperor of Europe has turned into a pawn in France’s 2022 presidential elections. The conqueror of Europe is dividing France today. Selectively remembering history only inflames tensions in the present. Politicians, institutions and the broader society alike need to be more responsible in order for an honest telling of history to be remembered.

The president’s allies are newly optimistic the brightening economic mood will further discredit the notion that a recession is necessary to tame inflation.

Despite the disagreement, senior White House aides still talk to Summers frequently and routinely seek his input. Summers has been to the White House several times this year alone, even as he continues to publicly hammer Biden’s industrial policy, student loan forgiveness and other economic programs.

Along with other centrist economists, Summers says inflation remains dangerously high, warning it could reaccelerate. The latest inflation report shows prices rising by 3.2 percent in July relative to one year ago, but a less volatile measure of price increases is still at 4.7 percent. The labor market remains strong not because Biden has defied the laws of economic reality, according to Summers, but because the battle against inflation is still far from won. Summers maintains the rescue plan sparked inflation that is at risk of becoming “entrenched” — a long-term problem for consumers and businesses.

“I don’t think anybody should reach any definitive judgments until we see how things play out,” Summers said in an interview. Summers said his predictions were based on standard macroeconomic models, and not meant to be interpreted as precise estimates. “The idea that bringing down inflation has nothing to do with increasing unemployment runs different from all conventional macroeconomic assessments.”

“The Democratic Party is currently split between people who thought the American Rescue Plan was appropriately sized and absolutely necessary — and those who think it was too big and had collateral effects that were quite damaging,” said Bill Galston, a policy analyst at the D.C.-based Brookings Institution who served in the Clinton administration. “This is a moral question, but it’s also a political question. If Joe Biden loses the election principally because of economic discontent over inflation and high prices, then a lot of Democrats will conclude it was not worth it.”

Summers has also made predictions that still do not appear to have been borne out, at least not yet. In a June 2022 speech at the London School of Economics, when inflation was at its 9.1 percent peak, Summers said the nation would “need” substantially higher levels of unemployment for inflation to come down.

“We need five years of unemployment above 5 percent to contain inflation — in other words, we need two years of 7.5 percent unemployment or five years of 6 percent unemployment or one year of 10 percent unemployment,

That same month, Summers and a co-author wrote that reducing job vacancies by 20 percent “requires, on average” a three percentage point increase in the unemployment rate. The number of job openings has fallen about 16 percent with no discernible jump in unemployment

In September 2022, Summers reiterated the point to Fortune: “I’m not sure you’re restraining inflation until you get the unemployment rate close to 5 percent, and to significantly restrain inflation you’re likely to need unemployment for some period at 6 percent.” The unemployment rate was 3.5 percent then and is the same level now.

In more recent interviews, Summers has defended his estimates by pointing out that inflation remains above the Fed’s 2 percent target. In particular, Summers emphasizes that it was always the case that transitory factors — such as soaring gas prices — pushed inflation up higher, to closer to 8 percent, but that the more stable “underlying” inflation was closer to 4.5 percent.

Even with lower overall inflation, Summers argues, underlying inflation remains largely unchanged — though the decline in transitory prices makes the problem appear to be going away.

“I think it’s fair to say — given how hot the economy is — the inflation performance at this point is better than I think many standard models would have predicted,” Summers said. “But I don’t think that all establishes we’re on a confident glide path to 2 percent with current rates of unemployment.”

More liberal economists argued that Summers misdiagnosed the cause of higher inflation, and therefore missed the cure. These economists contend that price spikes were overwhelmingly caused by supply chain disruptions, including lingering shocks from the pandemic and Russia’s invasion of Ukraine, not by too much government stimulus. As supply chains have normalized, so too has inflation.

Skanda Amarnath, executive director of the left-leaning think tank Employ America, emphasized that inflation is “now broadly decelerating,” not just in some idiosyncratic or transitory factors such as energy and used cars but across a large range of categories — household furnishings, technological equipment, wages, legal and professional services, and more.

“Remember when the experts said that to get inflation under control we needed to lower wages, and drive up unemployment? I never bought that,” Biden tweeted on July 20. “Instead, I focused on getting more Americans into the workforce, fixing our broken supply chains, and lowering costs.

Summers remains unconvinced about the rescue plan, pointing to substantial “unhappiness in the middle class about the state of the economy” over the last two years, mostly driven by inflation.

with those often-invisible systems that we take for granted until they fail, such as the electrical grid or medical implants, pharmaceuticals and the blood supply.

It’s possible to see a future in which we are dependent on the perfect, continuous performance of air conditioning the way many people are dependent on lifesaving drugs, planes are dependent on air traffic control, and a colony on the moon or Mars would be dependent on perpetual sources of oxygen and water.

AC’s basic trajectory has been from a curiosity and luxury to an amenity to a necessity. It has changed how we live and where we live, and reconfigured our cities, houses, politics and identity. And now it is bound up with our hope for survival as a species.

Where would we be without it? Much of the South would be poorer than it is now, and isolated, with high mortality rates and lower educational achievement. There would be no skyscrapers in Atlanta, no high-rise apartment buildings in Dallas and Houston. In our hottest states, including the Sun Belt, public institutions, including universities, libraries and entertainment venues, would be fewer and more minimally developed.

Entertainment would still be seasonal. City theaters would close as temperatures rise, and music, drama and the movies would migrate outdoors. Many of the products we take for granted, including textiles and foodstuffs that rely on atmospheric controls or refrigeration, would be of far inferior quality and much more expensive.

Architecture would look very different, at least for those who could afford such niceties as higher ceilings, wider eaves and more sharply pitched roofs (all of which can passively cool a house). The picture window — a source not just of light but also of heat, and which can’t be opened for ventilation — would not be a key element of suburban design.

The ranch house, with thin walls and low ceilings, laid out in relentless grids across the Sun Belt since the 1950s and immortalized in the haunting photographs of Robert Adams, wouldn’t define the vernacular architecture of America.

The net migration from the South, which continued from the Civil War until around 1964 (when air conditioning was well established in the country’s hottest states), would be ongoing.

air conditioning increased political polarization, with an influx of Northern Republicans into the South, and a resorting of the Democrats into a northern, more progressive, urban party without a conservative Dixiecrat wing.

It may have also changed the way women conceive of feminism and liberation from patriarchy, from a model based on independence and working outside the home in the early 20th century to one structured around the supposed leisure offered by the modern, air-conditioned tract home in the middle of the century.

Less tangible are the poetic details of life before AC that are embedded in art and literature. Staying cool in hot weather was often a social experience, a collective lethargy that brought one closer to family and community

Throughout the history of mechanical ventilation and “comfort cooling,” there was resistance to innovation, with a vocal and determined “open air” movement that opposed mechanical ventilation in public schools.

Before the announcement of the recent mass conscription, which was followed by the declaration of martial law in Russian-occupied areas of Ukraine, about 30 percent of Russians who were asked by a pro-Kremlin pollster to describe the predominant mood of people around them said they were anxious. Since the decree, that number has risen to 69 percent.

as the invasion has dragged on, Mr. Putin has had to shout “Wolf!” ever more stridently.

With little experience of democracy, Russians have traditionally been content to entrust their government to a strong “khoziayin,” or master, so long as he provides stability and seems to know what he’s doing. But if that contract is violated, as Russia’s greatest poet, Alexander Pushkin, warned in a quote every Russia knows by heart, “God save us from seeing a Russian revolt, senseless and merciless.”

He has drawn liberally on his rewriting of Russian history and culture — as he did again in the Valdai speech, citing, among others, Solzhenitsyn and Dostoyevsky — to claim a spiritual superiority over a West he sees as decadent and decaying. Never mind that these two writers were both repressed by the state, Soviet and czarist, and that Russia is widely perceived as a kleptocracy.

There is no soft power in this equation, no appreciation of reasons Ukraine might be more attracted to Europe than to Russia, but only spheres of control parceled out according to rules of conquest and control that the West rejected after World War II. The longings of the Ukrainians have no part in this; Russia’s — Mr. Putin’s — mission is to return to Russia what is Russia’s by right of might

it is becoming evident that Mr. Putin, increasingly isolated during the Covid pandemic, was led to believe by his sycophantic lieutenants that a quick invasion would promptly topple the Kyiv government and herd Ukraine back into the fold, and that the West was too far gone to do anything about it.

The clear danger, the paper said, is that such supposed “intelligence” is based on huge data sets that “overrepresent hegemonic viewpoints and encode biases potentially damaging to marginalised populations”. Put more bluntly, AI threatens to deepen the dominance of a way of thinking that is white, male, comparatively affluent and focused on the US and Europe.

What all this told her, she says, is that big tech is consumed by a drive to develop AI and “you don’t want someone like me who’s going to get in your way. I think it made it really clear that unless there is external pressure to do something different, companies are not just going to self-regulate. We need regulation and we need something better than just a profit motive.”

one particularly howling irony: the fact that an industry brimming with people who espouse liberal, self-consciously progressive opinions so often seems to push the world in the opposite direction.

Gebru began to specialise in cutting-edge AI, pioneering a system that showed how data about particular neighbourhoods’ patterns of car ownership highlighted differences bound up with ethnicity, crime figures, voting behaviour and income levels. In retrospect, this kind of work might look like the bedrock of techniques that could blur into automated surveillance and law enforcement, but Gebru admits that “none of those bells went off in my head … that connection of issues of technology with diversity and oppression came later”.

The next year, Gebru made a point of counting other black attenders at the same event. She found that, among 8,500 delegates, there were only six people of colour. In response, she put up a Facebook post that now seems prescient: “I’m not worried about machines taking over the world; I’m worried about groupthink, insularity and arrogance in the AI community.”

When Gebru arrived, Google employees were loudly opposing the company’s role in Project Maven, which used AI to analyse surveillance footage captured by military drones (Google ended its involvement in 2018). Two months later, staff took part in a huge walkout over claims of systemic racism, sexual harassment and gender inequality. Gebru says she was aware of “a lot of tolerance of harassment and all sorts of toxic behaviour”.

She and her colleagues prided themselves on how diverse their small operation was, as well as the things they brought to the company’s attention, which included issues to do with Google’s ownership of YouTube

A colleague from Morocco raised the alarm about a popular YouTube channel in that country called Chouf TV, “which was basically operated by the government’s intelligence arm and they were using it to harass journalists and dissidents. YouTube had done nothing about it.” (Google says that it “would need to review the content to understand whether it violates our policies. But, in general, our harassment policies strictly prohibit content that threatens individuals,

in 2020, Gebru, Mitchell and two colleagues wrote the paper that would lead to Gebru’s departure. It was titled On the Dangers of Stochastic Parrots. Its key contention was about AI centred on so-called large language models: the kind of systems – such as OpenAI’s ChatGPT and Google’s newly launched PaLM 2 – that, crudely speaking, feast on vast amounts of data to perform sophisticated tasks and generate content.

Gebru and her co-authors had an even graver concern: that trawling the online world risks reproducing its worst aspects, from hate speech to points of view that exclude marginalised people and places. “In accepting large amounts of web text as ‘representative’ of ‘all’ of humanity, we risk perpetuating dominant viewpoints, increasing power imbalances and further reifying inequality,” they wrote.

When the paper was submitted for internal review, Gebru was quickly contacted by one of Google’s vice-presidents. At first, she says, non-specific objections were expressed, such as that she and her colleagues had been too “negative” about AI. Then, Google asked Gebru either to withdraw the paper, or remove her and her colleagues’ names from it.

After her departure, Gebru founded Dair, the Distributed AI Research Institute, to which she now devotes her working time. “We have people in the US and the EU, and in Africa,” she says. “We have social scientists, computer scientists, engineers, refugee advocates, labour organisers, activists … it’s a mix of people.”

Running alongside this is a quest to push beyond the tendency of the tech industry and the media to focus attention on worries about AI taking over the planet and wiping out humanity while questions about what the technology does, and who it benefits and damages, remain unheard.

“That conversation ascribes agency to a tool rather than the humans building the tool,” she says. “That means you can aggregate responsibility: ‘It’s not me that’s the problem. It’s the tool. It’s super-powerful. We don’t know what it’s going to do.’ Well, no – it’s you that’s the problem. You’re building something with certain characteristics for your profit. That’s extremely distracting, and it takes the attention away from real harms and things that we need to do. Right now.”

Mr. Gutfeld has said he initially connected with network executives through his friendship with Andrew Breitbart, a fellow Californian and an early contributor to The Huffington Post. Mr. Gutfeld had been writing there as he moved beyond magazines, embracing the rollicking venom of the nascent blogosphere and tormenting the in-house liberals.

“He’s like America’s latchkey kid, grown up,” said Nick Gillespie, an editor at large at Reason, the libertarian magazine, and a “Red Eye” regular. “You are constantly searching out new things to pass the day when the adults aren’t around.”

What he did not know was that Fox was looking for someone like him — or at least someone unusual enough to advance an unusual new venture: proving that the right knew how to laugh.

“In every situation there’s that polarity where the Republicans are Dean Wormer in ‘Animal House,’” Mr. Gutfeld said, naming the film’s antagonist. And Democrats, he continued, came off as “the fun, Jon Stewart, ‘let’s have a great time and make fun of Dean Wormer.’ And I said that my goal was to flip that.”

“He was using a lot of all-caps,” Arianna Huffington recalled, mostly warmly.

Like media personalities before and since — including Joe Rogan and a constellation of other podcaster-comedians — Mr. Gutfeld took care to convey a vital quality to his audience: that he was getting away with something, saying what should not be said. He names Norm Macdonald, David Letterman and Tim Dillon as favored comedy minds.

Matt Sienkiewicz, a Boston College professor and Mr. Marx’s co-author of “That’s Not Funny,” said Mr. Gutfeld’s emergence was a signal accomplishment for the right: “somehow claiming conservativism or right-wing-ness as being against the squares.”

Around this period, he also often did something that feels disorienting to rewatch, given the host’s present disdain for those who moralize about Mr. Trump: He moralized about Mr. Trump.

“I’ve heard people defend him about making fun of a disability, making fun of John McCain, making fun of women,” he said on “The Five” in December 2015, accusing a Fox colleague of “Trumpsplaining” away his behavior. “No one will ever stop defending the crass stuff he says.”

“He is a salesman,” Mr. Gutfeld said, cradling his French bulldog, Gus, on his lap in the home the host shares with his wife, Elena Moussa. “Once you understand that, the derangement just kind of washes away.”

While Mr. Gutfeld mostly agrees with other Fox personalities in the lineup of Republican-friendly hours — that progressives are nuts, that Mr. Trump is unduly targeted, that President Biden is a doddering mess — “Gutfeld!” does land differently, with a host who seems adamant that his exclamation point is in on the joke.

“He’s today’s Don Rickles,” Candace Caine, a devotee from Birmingham, Ala., said after a recent taping — her third visit to see Mr. Gutfeld — where she leaned over a railing to shout “I love you!” during a commercial break.

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.

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.

This is triggering a U.S.-China cold war, mass migrations from south to north and an America that has become more unreliable than indispensable.

that’s not the half of it. Because now that advanced military technologies like drones are readily available, smaller players can wield much more power and project it more widely than ever before, enabling even their bad choices to shake the world

This is why I referred to Russia’s invasion of Ukraine as our first true world war, and why I feel that Hamas’s war with Israel is in some ways our second true world war.

They are being fought on both physical battlefields and digital ones, with huge global reach and implications.

Indeed, in today’s tightly wired world, it is possible that the war over the Gaza Strip — which is roughly twice the size of Washington, D.C. — could decide the next president in Washington, D.C., as some young Democrats abandon President Biden because of his support for Israel.

before we become too pessimistic, let us remember that these choices are just that: choices. There was nothing inevitable or foreordained about them

Gorbachev, Deng, Anwar el-Sadat, Menachem Begin, George H.W. Bush and Volodymyr Zelensky, to name but a few, faced excruciating choices, but they chose forks in the road that led to a safer and more prosperous world, at least for a time

What is the essential ingredient that Dubai has and Gaza lacks? Because both began, in one sense, as the convergence of sand and seawater at crucial intersections of the world.

The short answer is visionary leadership.Dubai has benefited from two generations of monarchs in the United Arab Emirates who had a powerful vision of how the U.A.E. in general and the emirate of Dubai in particular could choose to be Arab, modern, pluralistic, globalized and embracing of a moderate interpretation of Islam

Their formula incorporates a radical openness to the world, an emphasis on free markets and education, a ban on extremist political Islam, relatively little corruption, a strong rule of law promulgated from the top down and a relentless commitment to economic diversification, talent recruitment and development.

Any of Dubai’s neighbors — Kuwait, Qatar, Oman, Bahrain, Iran and Saudi Arabia — could have done the same with their similar coastlines, but it was the U.A.E. that pulled it off by making the choices it made.

Compare that with Gaza, where the role models today are Hamas martyrs in its endless war with Israel.

Among the most ignorant and vile things that have been said about this Gaza war is that Hamas had no choice — that its wars with Israel, culminating on Oct. 7 with a murderous rampage, the kidnappings of Israelis as young as 10 months and as old as 86 and the rape of Israeli women, could somehow be excused as a justifiable jailbreak by pent-up males.

Let’s go to the videotape: In September 2005, Ariel Sharon completed a unilateral withdrawal of all Israeli forces and settlements from Gaza, which Israel occupied in the 1967 war. In short order, Hamas began attacking the crossing points between Gaza and Israel to show that even if Israel was gone, the resistance movement wasn’t over; these crossing points were a lifeline for commerce and jobs, and Israel eventually reduced the number of crossings from six to two.

In January 2006, the Palestinians held elections hoping to give the Palestinian Authority legitimacy to run Gaza and the West Bank. There was a debate among Israeli, Palestinian and Bush administration officials over whether Hamas should be allowed to run in the elections — because it had rejected the Oslo peace accords with Israel.

Yossi Beilin, one of the Israeli architects of Oslo, told me that he and others argued that Hamas should not be allowed to run, as did many members of Fatah, Arafat’s group, who had embraced Oslo and recognized Israel. But the Bush team insisted that Hamas be permitted to run without embracing Oslo, hoping that it would lose and this would be its ultimate refutation.

Fatah ran unrealistically high numbers of candidates in many districts, dividing the vote, while the more disciplined Hamas ran carefully targeted slates and managed to win the parliamentary majority.

Hamas then faced a critical choice: Now that it controlled the Palestinian parliament, it could work within the Oslo Accords and the Paris protocol that governed economic ties between Israel, Gaza and the West Bank — or not.

Hamas chose not to — making a clash between Hamas and Fatah, which supported Oslo, inevitable

That led to the first Israeli economic blockade of Gaza — and what would be 22 years of on-and-off Hamas rocket attacks, Israeli checkpoint openings and closings, wars and cease-fires, all culminating on Oct. 7.

These were fateful choices. Once Sharon pulled Israel out of Gaza, Palestinians were left, for the first time ever, with total control over a piece of land. Yes, it was an impoverished slice of sand and coastal seawater, with some agricultural areas. And it was not the ancestral home of most of its residents. But it was theirs to build anything they wanted.

Hamas had a choice: to replicate Dubai in 2023 or replicate Hanoi in 1968. It chose to replicate Hanoi, whose Củ Chi tunnel network served as the launchpad for the ’68 Tet offensive.

Hamas is not simply engaged in some pure-as-the-driven-snow anticolonial struggle against Israel. Only Hamas’s useful idiots on U.S. college campuses would believe that.

Hamas is engaged in a raw power struggle with Fatah over who will control Gaza and the West Bank, and it’s engaged in a power struggle in the region — alongside other pro-Muslim Brotherhood parties and regimes (like Turkey and Qatar) — against pro-Western monarchies like Saudi Arabia, Jordan, Kuwait and the U.A.E. and military-led regimes like Egypt’s.

In that struggle, Hamas wanted Gaza isolated and in conflict with Israel because that allowed Hamas to maintain its iron-fisted political and Islamist grip over the strip, foregoing elections and controlling all the smuggling routes in and out, which funded its tunnels and war machine and the lifestyle of its leaders and loyalists

The only exit from this mutually assured destruction is to bring in some transformed version of the Palestinian Authority in the West Bank — or a whole new P.L.O.-appointed government of Palestinian technocrats — in partnership with moderate Arab states like Egypt, Jordan and Saudi Arabia. But when I raise that with many Israelis right now, they tell me, “Tom, it’s not the time. No one wants to hear it.”

please, spare me the Harvard Yard nonsense that this war is all about the innocent, colonized oppressed and the evil, colonizing oppressors; that Israel alone was responsible for the isolation of Gaza; and that the only choice Hamas had for years was to create an underground “skyline” of tunnels up to 230 feet deep (contra Dubai) and that its only choice on Oct. 7 was martyrdom.

But our story about agency and choices does not stop there. Benjamin Netanyahu, Israel’s longest-serving prime minister — 16 years — also made choices. And even before this war, he made terrible ones — for Israel and for Jews all over the world.

Before this war, Netanyahu actively worked to keep the Palestinians divided and weak by strengthening Hamas in Gaza with billions of dollars from Qatar, while simultaneously working to discredit and delegitimize the more moderate Palestinian Authority in Ramallah, committed to Oslo and nonviolence in the West Bank.

Netanyahu’s goal has always been to destroy the Oslo option once and for all. In that, Bibi and Hamas have always needed each other: Bibi to tell the United States and Israelis that he had no choice, and Hamas to tell Gazans and its new and naïve supporters around the world that the Palestinians’ only choice was armed struggle led by Hamas.

This is now a common strategy for consolidating and holding power forever by a single political faction and disguising it with an ideology of resistance. It’s no wonder they all support one another.

Don’t they get it? Netanyahu’s greatest political achievement has been to persuade Israelis and the world that it’s never the right time to talk about the morally corrosive occupation and how to help build a credible Palestinian partner to take it off Israel’s hands.

He and the settlers wore everyone down. When I covered the State Department in the early 1990s, West Bank settlements were routinely described by U.S. officials as “obstacles to peace.” But that phrase was gradually dropped. The Trump administration even decided to stop calling the West Bank “occupied” territory.

Israel is being surrounded by what I call Iran’s landcraft carriers (as opposed to our aircraft carriers): Hamas, Hezbollah, the Houthis and Shiite militias in Iraq. Iran is squeezing Israel into a multifront war with its proxies. I truly worry for Israel.

But Israel will have neither the sympathy of the world that it needs nor the multiple allies it needs to confront this Iranian octopus, nor the Palestinian partners it needs to govern any post-Hamas Gaza, nor the lasting support of its best friend in the world, Joe Biden, unless it is ready to choose a long-term pathway for separating from the Palestinians with an improved, legitimate Palestinian partner.

For all these reasons, if Netanyahu keeps refusing because, once again, politically, the time is not right for him, Biden will have to choose, too — between America’s interests and Netanyahu’s.

In sum, this war is so ugly, deadly and painful, it is no wonder that so many Palestinians and Israelis want to just focus on survival and not on any of the choices that got them here

The Haaretz writer Dahlia Scheindlin put it beautifully in a recent essay:The situation today is so terrible that people run from reality as they run from rockets — and hide in the shelter of their blind spots. It’s pointless to wag fingers. The only thing left to do is try and change that reality.

Since the war’s start, Hungary has treaded a fine line, joining the first rounds of sanctions against Russia and accepting Ukrainian refugees, while refusing to allow deliveries of arms bound for Ukraine to go through the country or to accept additional U.S. troops.

Such thinkers had a heyday a century ago, in the European wreckage of World War I: Julius Evola, the mad monk of Italian fascism; Charles Maurras, the reactionary French nationalist; Charles Coughlin, the American radio ranter; and even the author of a German book called “Mein Kampf.”

Putin has followed that counsel to the letter, and he must have felt things were going well when he saw window-smashing rioters in the corridors of the U.S. Congress, Britain’s Brexit from the European Union and Germany’s growing dependence on Russian natural gas.

Alas, a competing sea-based empire of corrupt, money-grubbing individualists, led by the United States and Britain, thwarted Russia’s destiny and brought “Eurasia” — his term for the future Russian empire — low.

Dugin tells essentially the same story from a Russian point of view. Before modernity ruined everything, a spiritually motivated Russian people promised to unite Europe and Asia into one great empire, appropriately ruled by ethnic Russians.

In his magnum opus, “The Foundations of Geopolitics: The Geopolitical Future of Russia,” published in 1997, Dugin mapped out the game plan in detail. Russian agents should foment racial, religious and sectional divisions within the United States while promoting the United States’ isolationist factions. (Sound familiar?) In Great Britain, the psy-ops effort should focus on exacerbating historic rifts with Continental Europe and separatist movements in Scotland, Wales and Ireland. Western Europe, meanwhile, should be drawn in Russia’s direction by the lure of natural resources: oil, gas and food. NATO would collapse from within.

Putin has turned to the pages of Dugin’s text in which he declared: “Ukraine as an independent state with certain territorial ambitions represents an enormous danger for all of Eurasia,” and “without resolving the Ukrainian problem, it is in general senseless to speak about continental politics.”

So what comes next, should Putin manage to “resolve” Russia’s “problem” in Ukraine? Dugin envisions a gradual dividing of Europe into zones of German and Russian influence, with Russia very much in charge thanks to its eventual stranglehold over Germany’s resource needs. As Great Britain crumbles and Russia picks up the pieces, the empire of Eurasia will ultimately stretch, in Dugin’s words, “from Dublin to Vladisvostok.”

according to Dugin, China, too, must fall. Russia’s ambitions in Asia will require “the territorial disintegration, splintering and the political and administrative partition of the [Chinese] state,” Dugin writes. Russia’s natural partner in the Far East, according to Dugin, is Japan.

Dugin’s 600-page doorstop can be boiled down to one idea: The wrong alliance won World War II. If only Hitler had not invaded Russia, Britain could have been broken. The United States would have remained at home, isolationist and divided, and Japan would have ruled the former China as Russia’s junior partner.

That’s still well below the national median, but the conditions of the White population are dismal: a median household income of $24,800, only 41% with any post-high school education, and 30% living in poverty.

In a growing nationwide trend, the median household incomes of people of color, according to the U.S. Census Bureau, now exceed those of White people in nearly 200 of the 1,500 Republican-trifecta counties—those in which the party controls the governor’s office and both legislative chambers of state government (see Figure 1)

In the most telling statistics, White people in Antlers are nearly twice as likely to die by guns as Native Americans (see Figure 2). Compared with Whites nationally, Antlers Whites suffer excessive death rates from drugs and alcohol (1.3 times the national average), suicide (1.5 times), all violent deaths (1.8 times), homicide (2.5 times), and gunfire (2.6 times).

When I was growing up in Antlers 60 years ago and visited it 20 years ago, my family’s old block consisted of well-kept middle-class homes fronting yards for chickens and horses. On my latest visit in January 2022, I found the houses all boarded up or blowing open in the wind (see photo at top). There are hundreds of abandoned dwellings with collapsing roofs and walls and junk-filled empty lots alongside barely intact, yet still occupied, houses.

Antlers is not all devastation, however. It sports a gleaming Choctaw-built travel center financed by casino revenues, which are also invested in local Native Americans’ well-being.

Across America, the partisan gap in gross domestic product per capita is also huge and growing: $77,900 in Democratic-voting areas, compared with $46,600 in Republican-voting areas

444 Republican counties have a GDP per capita of under $30,000, and 10 times as many people live in those counties than in the seven similarly low-GDP Democratic counties.

Whites in about 40% of all Republican counties lost income over the past two decades. And Trump’s administration was no help to his base. During his presidency, the overall Democrat–Republican GDP per capita gap widened by another $1,800.

For the largest urbanized states, the three with Democratic control of all branches of government (California, New York, and Illinois) had GDPs per capita vastly higher than the three biggest Republican-controlled states (Texas, Florida, and Ohio).

The right-wing canard that hardworking White people subsidize welfare-grubbing cities is backward. Democrat-voting counties, with 60% of America’s population, generate 67% of the nation’s personal income, 70% of the nation’s GDP, 71% of federal taxes, 73% of charitable contributions, and 75% of state and local taxes.

Mirroring Antlers, White Republican America also suffers violent death rates, including from suicide, homicide, firearms, and drunken driving crashes, far higher than Whites in Democratic America and higher than non-White people everywhere.

To top it off, Republican-governed Americans are substantially more likely to die from COVID-19.

As the death gap between Republican and Democratic areas widens over time, the life expectancy for Whites in Republican-voting areas (77.6 years) is now three years shorter than that of Whites in Democratic areas (80.6 years), shorter than those of Asians and Latino people everywhere, and only a few months longer than Black and Native Americans in Democratic areas.

That White people are falling behind across key economic, health, and safety indexes is not due to victimization by immigrants and liberal conspiracies, however, but to victimization by other Whites and self-inflicted alcoholism, drug overdose, and suicide.

Aside from the problem that Republican members of congress (and two recalcitrant Democrats) have sabotaged beneficial initiatives, former President Barack Obama already tried that. From 2010 to 2016, the Obama administration’s economic recovery measures fostered millions of new jobs and thousands of dollars in real median income growth for Whites in urban and most rural areas alike, reversing the recession under Republican George W. Bush’s presidency.

Is the solution to undividing America massive federal programs to improve Republican America’s struggling economies and troubled social conditions, then?

guided by a fascination with the wayward paths to fame, he half-unwittingly sows doubt about the justice of the American rise to artistic leadership in the postwar era. In his erudite account, artistic success owes little to vision and purpose, more to self-promotion, but most to unanticipated adoption by bigger systems with other aims, principally oriented toward money, political advantage, or commercial churn

For the greatness and inevitability of artistic consecration, Menand substitutes the arbitrary confluences of forces at any given moment.

The curriculum runs chapter by chapter through George Kennan, George Orwell, Jean-Paul Sartre, Hannah Arendt, Jackson Pollock, Lionel Trilling, Allen Ginsberg, Claude Lévi-Strauss, Robert Rauschenberg and John Cage, Elvis and the Beatles, Isaiah Berlin, James Baldwin, Jack Kerouac, Andy Warhol, Susan Sontag, and Pauline Kael. Each biography opens a door to a school or trend of work

Menand’s is not a “great man” view of history, because no one seems particularly great. One gets a feeling for Sartre as a person, a limited knowledge of how Sartre made Being and Nothingness, and a vivid sense of how the book made Sartre a celebrity. Then one learns how a troupe of others came along and rode his success like a sled.

Menand zooms in and out between individual egomaniacs and the milieus that facilitated their ascent and profited from their publicity.

group biographies, in miniature, of the existentialists, the Beats, the action painters, the Black Mountain School, the British Invasion, the pop artists, and many coteries more—are enchanting singly but demoralizing as they pile up

All of these enterprises look like hives of social insects, not selfless quests for truth or beauty. Menand is a world-class entomologist: He can name every indistinguishable drone, knows who had an oversize mandible, who lost a leg, who carried the best crumbs.

From this vantage, the monuments really are just anthills.

Menand is truly one of the great explainers. He quotes approvingly a lesson taken by Lionel Trilling from his editor Elliot Cohen: “No idea was so difficult and complex but that it could be expressed in a way that would make it understood by anyone to whom it might conceivably be of interest.”

The underlying theory of the book rests on a picture of what makes for “cultural winners,” works and ideas that Menand defines as

He is accurate, he is insightful, and he is not a dumber-downer

Menand’s account of each is an abbreviated tour de force. His explanations work at all levels: interpretation for scholars, review for general readers, introductions for neophytes. Where another writer would take 20 pages to tell us why someone or something mattered historically, Menand does it in two.

goods or styles that maintain market share through “generational” taste shifts—that is, through all the “the king is dead; long live the king” moments that mark the phases of cultural history for people living through it.

Menand’s recountings are less concerned with the changing meanings of individual works than with their successive adoptions and co-optations, in defiance of depth and meaning. It is a process of “winning” often based on cults of personality, indifference to complex origins, and the fortune or misfortune of timing

Menand is notably excellent on how commercial, regulatory, and technological changes determined which kinds of artwork made it to the public. His analysis helps demystify trends in commercial forms like film and pop music, especially when they otherwise seemed to run against the grain of pure profit

Often Menand’s point seems to be that the culture’s reigning talkers and salespeople and debaters need to conjure figures to venerate and attack (in ceaseless alternation) for short-range purposes of attention and competition. Any given work—1984, say, or Bonnie and Clyde—isn’t much of anything until it becomes a counter in other people’s games.

The central question of this period in culture might be whether U.S. artists lived up to expectations

In 1945, Europe was in ruins. America was rich and productive and dictated the terms of the postwar economic and political order. Certainly the U.S. had the power to pretend to cultural glory, too. But was it a pretense, or did Americans really continue and exceed the prewar triumphs of European modernism?

Most histories of the arts after 1945 assume that the greatest American successes deserved their fame.

The thrust of many of Menand’s retellings is that “in the business of cultural exchange, misprision is often the key to transmission.” Fame comes through misreadings, fantasies, unintended resonances, charisma, and publicity.

Menand’s book bequeaths the sense that the last laugh may truly have been on the self-seriousness of a whole historical period, one that treated its most publicized and successful arts figures far too generously, giving them too much credit for depth and vision, while missing the cynical forces by which they’d been buoyed up and marketed

“Foreign film” in America in the ’50s and ’60s—when independent art cinemas emerged, showing imports such as work by Ingmar Bergman and the French New Wave—proves to have been energized by a successful federal-government antitrust action against the monopolistic Hollywood studios