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The economy that Hickel envisions would cease to pursue growth, green or otherwise. Materials and energy will still be consumed, and waste generated, but at much lower levels. All impacts on the natural world will be tethered to the question, “Growth for whom, and to what ends?” In place of an individualistic consumer economy, Hickel’s post-growth economy would direct itself toward the creation of public goods that allow the many to live well—mass transit, health care—rather than to keep a few in luxury.

A growing body of research reveals an inverse relationship between “happiness” and growth beyond a certain point.

In the rich countries, general contentment peaked in 1950, when GDP and real per capita incomes were fractions of their present size (and inequality near modern historic lows); degrowthers posit that similar happiness levels will be reclaimed on the way back down the economic mountain

Hickel describes a post-growth economy defined by stability and equality, and the freedom and leisure possible when the economy is no longer subservient to the god of growth

He estimates that the U.S. economy could be scaled down by as much as 65 percent while still improving the lives of its citizens. This includes the metric most often tied to celebrations of endless growth: life expectancy.

degrowth will entail a steep reduction across a much wider range of high-energy consumer goods. Keeping a global economy within safe ecological limits is a zero-sum game.

When limited resources are directed toward clean energy infrastructure, public health care, and regenerative agriculture, it will still be possible to build and power modern 24-hour hospitals in every city, but not to have Xbox consoles, two-car garages, and giant appliances in every home.

would have to redefine it, too.

The post-growth economy could not succeed solely by redistributing wealth; it would have to redefine it, too.

He argues that short-term growth would have to continue in those countries that have still not achieved the basic levels of sanitation, infrastructure, and education needed for a decent standard of living, to close the gap. Their larger goal, meanwhile, would be to break free from their historical role as a source of natural resources and cheap labor for the north.

For degrowth to be just, global, and effective, the sharpest reduction in consumption will have to come from the north, where the greatest damage to the planet is currently being done

Ecological economists generally agree that the safe outer limit is eight tons

One person in a low-income country has a materials footprint of roughly two tons per year, a measure of total raw materials consumed, including those embodied in imports. In lower-middle–income countries, that number is four tons; in upper-middle–income countries, 12 tons. In the high-income nations of North America, Europe, and Asia, the number leaps to 28

The wealthiest 20 percent of the human population is responsible for 90 percent of “overshoot” carbon in the atmosphere (that is, a level of carbon that exceeds the limit needed to keep global temperature rise below 2 degrees Celsius)

The planet’s richest one percent has a carbon footprint twice the size of the poorest half of the world’s population combined

For the global north, degrowth not only starts at home, it starts with the biggest houses.

Less Is More doesn’t end in a poetic appreciation for nature’s majesty, but by teasing out its implications for the political project of preserving a habitable planet. Hickel devotes much of the book to explaining that degrowth must be central to this project, promising not just survival, but real democracy, social abundance, and liberation.

Both involve broad social shifts away from private consumption and toward the production of shared public goods.

This beautiful coincidence overlaps with policy programs like the Green New Deal in important way

In July 1979, shortly after installing a set of solar panels over the West Wing, Jimmy Carter did something peculiar for a peacetime president. He asked Americans to sacrifice: to consume less, take public transit more, value community over material things, and buy bonds to fund domestic energy development, including solar

Next to Schumacher’s “Buddhist economics,” Debsian socialism was reformist tinkering. Schumacher didn’t see liberation as a matter of reshuffling the ownership and management structures of the smokestack-powered growth economy. He believed a deeper transformation was needed to maintain a livable planet. This would require new socioecological blueprints “designed for permanence.” As the left and the right battled for control over growth’s levers and spoils, Schumacher pointed out how both had become blind to the rise of growth as its own self-justifying, pan-ideological religion; its patterns of production and consumption, he observed, required “a degree of violence” that did not “fit into the laws of the universe.”

They determined that infinite growth was, in fact, impossible on a finite planet. Barring a major course correction, the team projected, growthism would result in an ecological systems breakdown sometime in the middle of the twenty-first century

This warning, detailed in the 1972 bestseller The Limits to Growth, has aged better than the scorn heaped on it

We are now witnessing what appears to be the beginnings of the collapse predicted nearly 50 years ago

In his new book, Less Is More, Jason Hickel, an anthropologist and journalist, attempts to bring a comprehensive critique of growth closer to the center of the conversation, arguing through a sweeping history of capitalism that it’s uncontrolled growth, not its controlled arrest and reversal, that is the preposterous concept.

This economic and political revolution was reinforced by a complementary scientific one that displaced the lingering animist cosmology of pre-capitalist Europe. The dualism of Francis Bacon and Descartes held reason to be distinct from and superior to matter.

The idea of limitless growth is a relatively recent one. In Less Is More, Hickel traces its origins to the enclosure of the European commons in the sixteenth century

Starving refugees were scattered and forced into a new economy defined by neo-feudal servitude and wage labor. Landowners, meanwhile, began amassing great stores of surplus wealth.

By the mid-1800s, a new “science” had arisen from these assumptions. Neoclassical economics fully abstracted the economy from the natural world. The economy was geared not toward the creation of a happy and prosperous society, but toward the perpetual growth of wealth as its own end, achieved in an inherently virtuous cycle of converting labor and resources into capital, to be accumulated and reinvested in faster and more productive conversions of labor and resources

This ideology subsumed and profaned notions about progress and morality held by the classical economists, until eventually the field even l

This process unfolded despite repeated warnings along the way. Classical economists like John Stuart Mill and, to a lesser extent, Adam Smith not only acknowledged the existence of natural limits to growth, but saw economic development as a phase; at some point, they believed, nations would create enough wealth to pursue other definitions of progres

the caveats issued by Simon Kuznets, father of the concept adopted in the twentieth century as growth’s universal and signature metric: gross domestic product. Kuznets, Hickel points out, “warned that we should never use GDP as a normal measure of economic progress,” because GDP does not distinguish between productive and destructive behavior

Most people encounter the growth debate, if they encounter it at all, through the idea of “green growth.

This is a vision for our collective future based on the belief that technological advance will drastically reduce the amount of raw materials needed to sustain growth—a process known as dematerialization—and “decouple” growing GDP from its ecological impacts.

boosters of the idea point to the transition by rich countries from manufacturing to service-based economies, as well as efficiency gains in energy and in the use of materials

The belief that green growth will save us, also known as “ecomodernism” or “ecopragmatism,” has become a trendy article of faith among elites who acknowledge climate change and the dangers of breaching ecological boundaries

n 2017, Barack Obama threw his support behind the idea in an article for Science magazine, maintaining that signs of decoupling in major economies “should put to rest the argument that combatting climate change requires accepting lower growth or a lower standard of living.”

The argument that capitalism can grow itself out of the present crisis may be soothing to those who like the world as it is. It also relies on the kind of accounting tricks and rejection of reality

By only counting the emissions created within a country that imports most of its cars, washing machines, and computers, you end up pushing the emissions related to their production off the books. When you factor them back in, the picture is much less green. A number of recent studies show no evidence of meaningful decoupling—in energy or materials—even as the world increases its use of renewable energy and finds ways to use some materials more efficiently.

Green growth, Hickel concludes, is an ecologically incoherent “fairy tale.”

consider what the ecomodernist position asks us to believe. The current system requires annual growth of roughly 3 percent to avoid the shock of recession. This means doubling the size of the economy every 23 years

he economy of 2000 must be 20 times larger in the year 2100, and 370 times larger in the year 2200.

Hickel is less interested in the macroeconomic details of this future than are growth critics based in economics departments, like Tim Jackson and Kate Raworth, and more focused on the leisure, security, and general human flourish

he makes an alluring case that degrowth does not require anything like the “command-and-control fiasco of the Soviet Union, or some back-to-the-caves, hair-shirted disaster of voluntary impoverishment.”

Attaining the benefits of the post-growth economy would, however, require what the present consumer society considers “sacrifices.

it’s not clear how many of them are ready to give up its superficial pleasures enabled by consumer debt

Among nations, there’s also the question of fairness: Wouldn’t it be unjust to impose degrowth across the world, when it’s disproportionately the countries of the global north that have spent centuries burning through the planet’s resources?

This output tracks to the one percent’s share of global wealth—a number equal to the GDP of the bottom 169 countries.

Even if you accept the argument that inequality would be best addressed by more centuries of trickle-down growth, you keep running up against the simple fact of its impossibility. Even just one more century of growth—which so far has shown no sign of taking a less destructive form—will require multiple earths

Hickel is serious about bringing the system critiques of E.F. Schumacher and others out of their traditional cloisters and into the streets, and has sought allies in this effort

emphasize what Hickel calls the “beautiful coincidence” of degrowth: that “what we need to do to survive is the same as what we need to do to have better lives.”

Both are internationalist in outlook, and see the world through a lens of climate justice as well as climate equilibrium.

that is, communicating the many benefits of moving beyond the insecurity and terrors of the current system, and building a new society that is sustainable, stable, democratic, and fundamentally better in every way.

He has said Tolkien was a major literary figure who deserved a major show marking the 50th anniversary of his death. Ms. Meloni’s critics have instead characterized the exhibit, which she called “a beautiful page of culture,” as a right-wing counteroffensive in the country’s culture wars.

“Ask around who knows the names of the nine companions of the ring, see who responds,” he said, naming all nine. He added that when it came to Tolkien, “the right chose him as its go-to author.”

The show was intended to transmit that tradition, said members of the youth wing of Ms. Meloni’s far-right Brothers of Italy party, who were there, too.

“It’s an inheritance,” said Andrea Paramano, a 21-year-old member, as he stood with his friends around models of the Shire and epic battles with Balrog, the fire monster. “It gets passed down. The respect of the tradition ——”

Mr. Obama was quoted in the exhibit as saying he had moved on from the Hardy Boys to “‘The Lord of the Rings’ and ‘The Hobbit’ and stuff like that,” and that they “weren’t just adventure stories, but they were also stories that taught me about social problems.”

Mr. Martini was delighted that the works he loved, of mythical battles and ghouls, had finally been recognized as great art. The political overlay, he said, was “only an Italian problem.”

— giving the next generation of Republican officeholders, senior advisers, judges and appointees explicit permission and encouragement to believe that the country is on the verge of collapse.

The list of people making these arguments includes former officials in the Trump administration, some of whom are likely to be considered for top jobs in the event of a Trump restoration in 2024.

The ideas about the threat of an all-powerful totalitarian left and the dismal state of the country — even the most outlandish of them — are taken seriously by conservative politicians as well as prominent influencers on the right.

If Mr. Trump manages to win the presidency again in 2024, many of these intellectual catastrophists could be ready and willing to justify deeds that could well bring American liberal democracy to its knees.

Mr. Anton’s “Flight 93” essay originally appeared on a website with modest traffic, but two days later Rush Limbaugh was reading it aloud in its entirety on his radio show. The essay set the tone of life-or-death struggle (and related imagery) that is common among catastrophists.

Mr. Anton updated and amplified the argument in a 2021 book, “The Stakes: America at the Point of No Return.”

The prospect of Mr. Biden’s becoming president constituted an “existential threat,” Mr. Eastman said, to the survivability of the country. Would we “completely repudiate every one of our founding principles” and allow ourselves to be “eradicated”? Those were the stakes, as he viewed them.

Once a thinker begins to conceive of politics as a pitched battle between the righteous and those who seek the country’s outright annihilation, extraordinary possibilities open up.

in May 2021, Mr. Anton came to conduct a two-hour podcast with a far-right Silicon Valley tech guru and self-described “monarchist,” Curtis Yarvin, in which the two agreed that the American “regime” is today most accurately described as a “theocratic oligarchy.” In that arrangement, an elite class of progressive “priests” ensconced in executive branch agencies, the universities, elite media and other leading institutions of civil society promulgate and enforce a distorted and self-serving version of reality that illegitimately justifies their rule.

It culminated in Mr. Yarvin sketching a scenario in which a would-be dictator he alternatively describes as “Caesar” and “Trump” defies the laws and norms of democratic transition and uses a “Trump app” to direct throngs of his supporters on the streets of the nation’s capital to do his bidding, insulating the would-be dictator from harm and the consequences of his democracy-defying acts.

Mr. Anton described Caesarism as one-man rule that emerges “after the decay of a republican order, when it can no longer function.”

he would prefer the country to embrace the principles of “1787 forever.” But if that is no longer possible, he said, the rule of a Caesar can be a necessary method to restore order.)

Those on the right primarily concerned about the fate of traditionalist Christian morals and worship in the United States insist that we already live in a regime that oppresses and brutalizes religious believers and conservatives. And they make those charges in a theologically inflected idiom that’s meant to address and amplify the right’s intense worries about persecution by progressives.

Among the most extreme catastrophists writing in this vein is Stephen Wolfe, whose book “The Case for Christian Nationalism” calls for a “just revolution” against America’s “gynocracy” (rule by women) that emasculates men, persuading them to affirm “feminine virtues, such as empathy, fairness and equality.” In its place, Mr. Wolfe proposes the installation of a “Christian prince,” or a form of “theocratic Caesarism.”

Other authors aspire to greater nuance by calling the dictatorship weighing down on religious believers soft totalitarianism, usually under the rule of social-justice progressivism. These writers often draw direct parallels between the fate of devout Christians in the contemporary United States and the struggles of Eastern Europeans who sought to practice their faith but were harshly persecuted by Soviet tyranny

the most recent book by the writer Rod Dreher, “Live Not by Lies: A Manual for Christian Dissidents.”

Patrick Deneen of the University of Notre Dame offers the most elaborate and intellectually sophisticated response in his recent book, “Regime Change: Toward a Postliberal Future.”

“Regime Change” is a much darker book that goes well beyond diagnosing America’s ills to propose what sounds, in certain passages, like a radical cure.

Mr. Deneen and other discontented intellectuals of the religious right can perhaps be most accurately described as political reactionaries looking to undertake a revolutionary act in reverse.

Growing numbers of Americans supposedly reject this outlook, demanding a postliberal government and social, cultural and economic order — basically, hard-right policies on religious and moral issues and hard left on economics. But the forces of liberalism are entrenched on the center left and center right, using every power at their disposal to prevent regime change.

In some passages, he advocates a “peaceful but vigorous overthrow of a corrupt and corrupting liberal ruling class” and proposes modest reforms to replace i

in other passages, Mr. Deneen goes much further, describing the separation of church and state as a “totalitarian undertaking” that must be reversed so that American public life can be fully integrated with conservative forms of Christianit

He even affirmatively quotes a passage from Machiavelli in which he talks of the need to use “extralegal and almost bestial” forms of resistance, including “mobs running through the streets,” in order to topple the powers that be.

The source of these maladies, Mr. Deneen claims, is liberalism, which until recently has dominated both political parties in the United States, imposing an ideology of individual rights and historical progress on the country from above. This ideology, he says, denigrates tradition, faith, authority and community.

Costin Alamariu, the person generally understood to be writing under the pseudonym Bronze Age Pervert.

He self-published a book in 2018, “Bronze Age Mindset,” which follows Friedrich Nietzsche and other authors beloved by the European far right in proclaiming that Western civilization itself is on the verge of collapse, its greatest achievements far in the past, its present a “garbage world” in an advanced state of decay.

All around us, Mr. Alamariu declares, greatness and beauty are under assault. Who are its enemies? Women, for one. (“It took 100 years of women in public life for them to almost totally destroy a civilization.”) Then there’s belief in democratic equality. (“I believe that democracy is the final cause of all the political problems I describe.”)

But blame must most of all be laid at the feet of the creature Mr. Alamariu calls the “bugman,” a term he uses to describe a majority of human beings alive today. This insectlike infestation venerates mediocrity and is “motivated by a titanic hatred of the well-turned-out and beautiful.”

Mr. Alamariu proposes breeding great men of strength who model themselves on pirates, disregarding laws and norms, plundering and taking anything they want and ultimately installing themselves as absolute rulers over the rest of us.

“Now imagine a man of Trump’s charisma, but who is not merely beholden to the generals, but one of them, and able to rule and intimidate them as well as seduce the many. … Caesars and Napoleons are sure to follow.”

In a recent essay, Mr. Alamariu wrote: “I believe in fascism or ‘something worse’ …. I believe in rule by a military caste of men who would be able to guide society toward a morality of eugenics.”

Mr. Alamariu’s recently self-published doctoral dissertation reached No. 23 on Amazon sitewide in mid-September. Among those on the right treating the author as a friend, ally or interlocutor worthy of respectful engagement are the prominent activist Christopher Rufo, the author Richard Hanania and the economist-blogger Tyler Cowen.

These writers are giving Republican elites permission and encouragement to do things that just a few years ago would have been considered unthinkable.

In a second term, Mr. Trump’s ambition is to fire tens of thousands of career civil servants throughout the federal bureaucracy and replace them with loyalists. He also reportedly plans to staff the executive branch with more aggressive right-wing lawyers. These would surely be people unwaveringly devoted to the president and his agenda as well as the danger the Democratic Party supposedly poses to the survival of the United States.

These writers also exercise a powerful influence on media personalities with large audiences. Tucker Carlson has interviewed Curtis Yarvin and declared that with regard to the 2024 election, “everything is at stake. What wouldn’t they do? What haven’t they done? How will you prepare yourself?”

Other right-wing influencers with large followings assert more bluntly that if conservatives lose in 2024, they will be hunted down and murdered by the regime.

It’s important that we respond to such statements by pointing out there is literally no evidence to support them. Other intellectual catastrophists are likewise wrong to suggest the country is ruled by a progressive tyranny, and we can know this because people on the right increasingly say such things while facing no legal consequences at all.

The question, then, is why the intellectual catastrophists have gotten to this point — and why others on the right are listening to them. The answer, I think, is an intense dislike of what America has become, combined with panic about the right’s ability to win sufficient power in the democratic arena to force a decisive change.

In refusing to accept that deal, many of the right’s most prominent writers are ceasing to behave like citizens, who must be willing to share rule with others, in favor of thinking and acting like commissars eager to serve a strongman.

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.

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

The idea of a “culture industry”

is used unironically by Menand to name the vastly scaled-up production and consumption of all artistic experience. “The culture industries, as they expanded, absorbed and commercialized independent and offbeat culture-makers, and the university, as it expanded, swallowed up the worlds of creative writing and dissident political opinion.”

With his eye on this process, we miss out on artists and thinkers who dug deep and stayed home, who produced as hermits or eccentrics or introverted students of their art

Where did rock ’n’ roll come from?” Menand wonders. He answers that it was “the by-product of a number of unrelated developments in the American music business” that redirected sales to teenagers, and also the result of new radio-station competition, the partial racial desegregation of the music charts, and the arrival of 200-disc jukeboxes

I can imagine The Free World leaving my hypothetical college senior, denizen of the bleak attention economy of the 21st century, feeling liberated to discover that culture was no better—no more committed to a quest for what is true, noble, lasting, and beautiful—in the world of the Baby Boomers and beaming grandparents.

The book is so masterful, and exhibits such brilliant writing and exhaustive research, that I wonder whether Menand could truly have intended where his history of the postwar era landed me. I learned so much, and ended up caring so much les

Roll, Jordan, Roll, the most insightful book ever written about American slaves and the most lasting work of American historical scholarship since the Second World War.

the authors illuminate in their characteristically energetic prose the myriad ways in which the master-slave relationship "permeated the lives and thought" not merely of elite slaveholders but of their whole society. In doing so they elucidate the master class's deeply learned relationship to Christianity and to history (especially classical culture), which in turn highlights th

it provides significant and powerful support to the now academically unfashionable argument that the antebellum North and South were separate cultures with divergent political, economic, moral, and religious values; a work of searching historical anthropology, it reveals a profoundly alien society and culture.

to indict the authors for what is now called insensitivity (and they will be so indicted) is to ignore the psychological acuity and tragic sensibility that they bring to their subject. In defining the slaveholders' peculiar characteristics and world view, the Genoveses dissect the graciousness and generosity, the noblesse oblige and courage, the frankness and sense of ease, that were entirely common. Nevertheless, they are at pains to show that slaveholding wasn't a flaw in an otherwise admirable makeup but was intrinsic to that makeup--that is, they make plain that the admirable grew out of the loathsome

they open their book with Santayana's remark "The necessity of rejecting and destroying some things that are beautiful is the deepest curse of existence." True, they convincingly argue that a paternalist ethos often mitigated slavery; they reveal that the master class internalized Christian and chivalric values, which, they chillingly write, made its members "less dangerous human beings"; they demonstrate that in defending the peculiar institution southern theologians consistently bested their northern opponents in biblical exegeses (the Old Testament patriarchs owned slaves, Jesus didn't condemn slavery, and Paul and other New Testament writers sanctioned it); they show that slaveholders subscribed to "a code that made the ultimate test of a gentleman the humane treatment of his slaves"

They repeatedly dismiss as "psychologically naïve" the notion that slaveholders (able, though not licensed, to give free rein to their tempers and impulses) would invariably treat their slaves well because it was in their pecuniary interest to do so.

as Christians the slaveholders acknowledged that men are weak and sinful creatures who if given absolute power will abuse it. Because slavery perforce granted masters such power, the Bible, although it didn't condemn slavery, did condemn the sins that grew inevitably from it

One thing that has hampered progress is that physicists still do not agree on how much the new particle weighs.

What does it matter how much a Higgs boson weighs? It could determine the fate of the universe.

his colleagues ran the numbers and concluded that the universe was in a precarious condition and could be prone to collapse in the far, far future. The reason lies in the Higgs field, the medium of which the Higgs boson is the messenger and which determines the structure of empty space, i.e., the vacuum.

It works like this. The Higgs field, like everything else in nature, is lazy, and, like water running downhill, always seeks to be in the state of lowest energy. Physicists assume that the Higgs field today is in the lowest state possible, but Dr. Giudice found that was not the case. What counts as rock bottom in today’s universe could turn out to be just a plateau. Our universe is like a rock perched precariously on a mountaintop, he explained, in what physicists call a metastable state. The Higgs field could drop to a lower value by a process known as quantum tunneling, although it is not imminent.

If that should happen — tomorrow or billions of years from now — a bubble would sweep out through the universe at the speed of light, obliterating the laws of nature as we know them.

The calculations assume that the Standard Model is the final word in physics, good for all times and places and energies — something that no physicist really believes. Theories like supersymmetry or string theory could intercede at higher energies and change the outcome.

The calculations also depend crucially on the mass of the top quark, the heaviest known elementary particle, as well as the Higgs, neither of which have been weighed precisely enough yet to determine the fate of the universe. If the top quark were just a little lighter or the Higgs a little heavier, 130 billion electron volts, Dr. Giudice said, the vacuum would in fact be stable.

, “Why do we happen to live at the edge of collapse?” He went on, “In my view, the message about near-criticality of the universe is the most important thing we have learned from the discovery of the Higgs boson so far.” Guido Tonelli of CERN and the University of Pisa, said, “If true, it is somehow magic.” We wouldn’t be having this discussion, he said, if there hadn’t been enough time already for this universe to produce galaxies, stars, planets and “human beings who are attempting to produce a vision of the world,” he said.

“So, in some sense, we are here, because we have been lucky, because for this particular universe the lottery produced a certain set of numbers, which allow the universe to have an evolution, which is very long.”

An ardent empiricist, Diderot also took pride in questioning his own beliefs. In “Rameau’s Nephew,” Diderot gave life to a character who assailed the author’s deep-rooted humanism. One of the most memorable eccentrics in all of literature, the hedonistic protagonist preached the beauty of evil, the joys of social parasitism and the right to be a self-seeking individual.

Mr Trump described Mrs Merkel's immigration policy as a "big mistake", but said "people make mistakes".

Other topics Mr Trump discussed included his mother's "love" of the Queen."She was so proud of the Queen," he said. "She loved the ceremony and the beauty, because nobody does that like the English, and she had great respect for the Queen and liked her."Any time the Queen was on television, for an event, my mother would be watching."

Complaining about political correctness is patriotically correct. The patriotically correct must use the non-word “illegals,” or “illegal immigrant” or “illegal alien” to describe foreigners who broke our immigration laws. Dissenters support “open borders” or “shamnesty” for 30 million illegal alien invaders. The punishment is deportation because “we’re a nation of laws” and they didn’t “get in line,” even though no such line actually exists. Just remember that they are never anti-immigration, only anti-illegal immigration, even when they want to cut legal immigration.

Black Lives Matter is racist because it implies that black lives are more important than other lives, but Blue Lives Matter doesn’t imply that cops’ lives are more important than the rest of ours. Banning Islam or Muslim immigration is a necessary security measure, but homosexuals should not be allowed to get married because it infringes on religious liberty. Transgender people could access women’s restrooms for perverted purposes, but Donald Trump walking in on nude underage girls in dressing rooms before a beauty pageant is just “media bias.”

Terrorism is an “existential threat,” even though the chance of being killed in a terrorist attack is about 1 in 3.2 million a year. Saying the words “radical Islam” when describing terrorism is an important incantation necessary to defeat that threat. When Chobani yogurt founder Hamdi Ulukaya decides to employ refugees in his factories, it’s because of his ties to “globalist corporate figures.” Waving a Mexican flag on U.S. soil means you hate America, but waving a Confederate flag just means you’re proud of your heritage.

Those who disagree with the patriotically correct are animated by anti-Americanism, are post-American, or deserve any other of a long list of clunky and vague labels that signal virtue to other members of the patriotic in-group.

Poor white Americans are the victims of economic dislocation and globalization beyond their control, while poor blacks and Hispanics are poor because of their failed cultures. The patriotically correct are triggered when they hear strangers speaking in a language other than English. Does that remind you of the PC duty to publicly shame those who use unacceptable language to describe race, gender or whatever other identity is the victim du jour?

The patriotically correct rightly ridicule PC “safe spaces” but promptly retreat to Breitbart or talk radio, where they can have mutually reinforcing homogeneous temper tantrums while complaining about the lack of intellectual diversity on the left.

There is no such thing as too much national security, but it’s liberals who want to coddle Americans with a “nanny state.”

Blaming the liberal or mainstream media and “media bias” is the patriotically correct version of blaming the corporations or capitalism. The patriotically correct notion that they “would rather be governed by the first 2,000 people in the Boston telephone directory than by the 2,000 people on the faculty of Harvard University” because the former have “common sense” and the “intellectual elites” don’t know anything, despite all the evidence to the contrary, can be sustained only in a total bubble.

Every group has implicit rules against certain opinions, actions and language as well as enforcement mechanisms — and the patriotically correct are no exception. But they are different because they are near-uniformly unaware of how they are hewing to a code of speech and conduct similar to the PC lefties they claim to oppose.

The modern form of political correctness on college campuses and the media is social tyranny with manners, while patriotic correctness is tyranny without the manners, and its adherents do not hesitate to use the law to advance their goals.

Sure Trump’s a scoundrel, but he might agree with our tax proposal. Sure, he is a racist, but he might like our position on the defense budget. Policy agreement can paper over a moral chasm. Nobody calling themselves a conservative can agree to this hierarchy of values.

The classic conservative belief, by contrast, is that character is destiny. Temperament is foundational. Each candidate has to cross some basic threshold of dependability as a human being before it’s even relevant to judge his or her policy agenda. Trump doesn’t cross that threshold.

Second, it just won’t work. The Republican Party can’t unify around Donald Trump for the same reason it can’t unify around a tornado. Trump, by his very essence, undermines cooperation, reciprocity, solidarity, stability or any other component of unity. He is a lone operator, a disloyal diva, who is incapable of horizontal relationships.

Some conservatives believe they can educate, convert or civilize Trump. This belief is a sign both of intellectual arrogance and psychological naïveté.

there is a well-developed literature on narcissism that tracks with what we have seen of Trump. By one theory narcissism flows from a developmental disorder called alexithymia, the inability to identify and describe emotions in the self. Sufferers have no inner voice to understand their own feelings and reflect honestly on their own actions.

Unable to know themselves, or truly love themselves, they hunger for a never-ending supply of admiration from outside

these narcissists create a rigid set of external standards, often based around admiration and contempt. Their valuing criteria are based on simple division — winners and losers, victory or humiliation. They are preoccupied with luxury, appearance or anything that signals wealth, beauty, power and success

Incapable of understanding themselves, they are also incapable of having empathy for others. They simply don’t know what it feels like to put themselves in another’s shoes.

Paul Ryan and the Republicans can try to be loyal to Trump, but he won’t be loyal to them. There’s really no choice. Congressional Republicans have to run their own separate campaign. Donald Trump does not share.

The joy he takes in humiliating women is not something he even bothers to disguise. He told the journalist Timothy L. O’Brien, “My favorite part [of the movie Pulp Fiction] is when Sam has his gun out in the diner and he tells the guy to tell his girlfriend to shut up. Tell that bitch to be cool. Say: ‘Bitch be cool.’ I love those lines.” Or as he elegantly summed up his view to New York magazine in the early ’90s, “Women, you have to treat them like shit.”

Women labor under a cloud of Trump’s distrust. “I have seen women manipulate men with just a twitch of their eye—or perhaps another body part,” he wrote in Trump: The Art of the Comeback. Working moms are particularly lacking in loyalty, he believes, and thus do not make for good employees. “She’s not giving me 100 percent. She’s giving me 84 percent, and 16 percent is going towards taking care of children,

This is one reason that evangelicals, both men and women, gravitate to Trump, despite his obvious lack of interest in religion and blatantly loose morals. He represents the possibility of a return to patriarchy, to a time when men were men, and didn’t have to apologize for it

In 1989, Trump had returned home from a painful scalp-reduction surgery, intended to remove a bald spot. His ex-wife Ivana had suggested the doctor—and he blamed her for his suffering. He held her arms and began pulling hair from her scalp, then tore off her clothes. Hurt writes: “Then he jams his penis inside her for the first time in more than sixteen months. Ivana is terrified … It is a violent assault. According to versions she repeats to some of her closest confidantes, ‘he raped me.’ ” When the story resurfaced last summer, Trump’s campaign disavowed it. When Hurt was writing his book, Trump’s lawyers forced the author to include a statement from Ivana in the book, “A Note to Readers,” which softens the account but doesn’t disavow it: “As a woman, I felt violated, as the love and tenderness, which he normally exhibited towards me, was absent. I referred to this as a ‘rape,’ but I do not want my words to be interpreted in a literal or criminal sense.”

The scene offers a graphic summation of Trump’s retrograde beliefs and real brutality. What’s worse, the same spirit informs his politics—the rampant cruelty, the violent impulses, the thirst for revenge, the absence of compassion. Misogyny isn’t an incidental part of Donald Trump. It’s who he is.

Here is what we are supposed to do: rebut every single lie. Insist moreover that each lie is retracted — and journalists in press conferences should back up their colleagues with repeated follow-ups if Spicer tries to duck the plain truth. Do not allow them to move on to another question. Interviews with the president himself should not leave a lie alone; the interviewer should press and press and press until the lie is conceded.

“In the life of every honorable man comes a difficult moment … when the simple statement that this is black and that is white requires paying a high price.”

Then there is the obvious question of the president’s mental and psychological health. I know we’re not supposed to bring this up — but it is staring us brutally in the face

If you came across someone in your everyday life who repeatedly said fantastically and demonstrably untrue things, what would you think of him? If you showed up at a neighbor’s, say, and your host showed you his newly painted living room, which was a deep blue, and then insisted repeatedly — manically — that it was a lovely shade of scarlet, what would your reaction be?

It is that when the linchpin of an entire country is literally delusional, clinically deceptive, and responds to any attempt to correct the record with rage and vengeance, everyone is always on edge.

I think this is a fundamental reason why so many of us have been so unsettled, anxious, and near panic these past few months. It is not so much this president’s agenda

This man is off his rocker. He’s deranged; he’s bizarrely living in an alternative universe; he’s delusional. If he kept this up, at some point you’d excuse yourself and edge slowly out of the room and the house and never return. You’d warn your other neighbors. You’d keep your distance. If you saw him, you’d be polite but keep your distance.

At the core of the administration of the most powerful country on earth, there is, instead, madness.

There is no anchor any more

With someone like this barging into your consciousness every hour of every day, you begin to get a glimpse of what it must be like to live in an autocracy of some kind

He begins to permeate your psyche and soul; he dominates every news cycle and issues pronouncements — each one shocking and destabilizing — round the clock.

He delights in constantly provoking and surprising you, so that his monstrous ego can be perennially fed. And because he is also mentally unstable, forever lashing out in manic spasms of pain and anger, you live each day with some measure of trepidation

One of the great achievements of free society in a stable democracy is that many people, for much of the time, need not think about politics at all. The president of a free country may dominate the news cycle many days — but he is not omnipresent — and because we live under the rule of law, we can afford to turn the news off at times.

In that sense, it seems to me, we already live in a country with markedly less freedom than we did a month ago. It’s less like living in a democracy than being a child trapped in a house where there is an abusive and unpredictable father, who will brook no reason, respect no counter-argument, admit no error, and always, always up the ante until catastrophe inevitably strikes

I’ve managed to see Scorsese’s Silence twice in the last couple of weeks. It literally silenced me. It’s a surpassingly beautiful movie — but its genius lies in the complexity of its understanding of what faith really is