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A systemic risk is a threat emerging within one natural, technological, or social system with impacts extending beyond that system to endanger the functionality of one or more other systems

“Polycrisis is a way of capturing the tangled mix of challenges and changes closely interact with one another, bending, blurring and amplifying each other.”

The FT essay was a short piece - originally drafted to run to only 750 words. In that short compass I focused on three aspects

(1) Defining the concept of polycrisis in simple and intuitive terms;

(2) Stressing the diversity of causal factors implied by the term “poly”;

(3) and emphasizing the novelty of our current situation.

There are two aspects to the novelty that I stress in the FT piece, one is our inability to understand our current situation as the result of a single, specific causal factor and secondly the extraordinary scale and breadth of global development, especially in the last 50 years, that makes it seem probable, according to the cognitive schemata and models that we do have at our disposal, that we are about to crash through critical tipping points.

Do we actually know what development or growth are?

As Bruno Latour forced us to recognize, it is not at all obvious that we do understand our own situation. In fact, as he convincingly argued in We Have Never Been Modern, modernity’s account of itself is built around blindspots specifically with regard to the hybrid mobilization of material resources and actors and the working of science itself, which define the grand developmental narrative.

t we have every reason to think that we are at a dramatic threshold point, but also that our need to reach for a term as unspecific as polycrisis indicates our flailing inability to grasp our situation with the confidence and conceptual clarity that we might once have hoped for.

What Beck taught us was that risk is no longer in any simple sense “natural” but a phenomenon of second nature.

A Beckian reading of polycrisis might look a bit like the version produced by Christopher Hobson and Matthew Davies summarized

A polycrisis can be thought of as having the following properties:(1) Multiple, separate crises happening simultaneously. This is the most immediate and comprehensible feature.

(2) Feedback loops, in which individual crises interact in both foreseeable and unexpected ways. This points to the ways that these separate crises relate to each other.

(3) Amplification, whereby these interactions cause crises to magnify or accelerate, generating a sense of lack of control. The way these separate problems relate and connect works to exacerbate and deepen the different crises.

(4) Unboundedness, in which each crisis ceases to be clearly demarcated, both in time and space, as different problems bleed over and merge. It becomes increasingly difficult to distinguish where one issue ends, and another commences.

(5) Layering, a dynamic Tooze attributes to Yixin’s analysis, whereby the concerns of interest groups related to each distinct crisis overlap ‘to create layered social problems: current problems with historical problems, tangible interest problems with ideological problems, political problems with non-political problems; all intersecting and interfering with one another’ (quoted in Tooze 2021, 18).

(6) The breakdown of shared meaning, stemming from crises being understood differently and from the complex ways in which they interact, and how these interactions are subsequently perceived differently. As each crisis blurs and connects to the other, it becomes more difficult to identify a clear scope and narrative for each distinct crisis, as well as coming to terms with all the interactions between different issues.

(8) Emergent properties, the collection of these dynamics, which all exhibit a high degree of reflexivity, exceeds the sum total of its parts. The polycrisis is ultimately much more than a collection of smaller, separate crises. Instead, it is something like a socio-political version of the ‘Fujiwhara effect,’ a term used to describe when two or more cyclones come together, morph and merge.

(7) Cross purposes, whereby each individual crisis might impede the resolution of another crisis, in terms of demanding attention and resources, and the extent to which they have become tangled together makes it difficult to distinguish and prioritise.

We need to think “big”. Or rather we need to learn how to span the void between the very big and the very particular, the micro and the macro

What all this talk of grand social processes and movements of the mind should not obscure is the extent to which the current crisis is also a matter of identity, choice and action. As much as it is a matter of sociology, social theory and grand historical sweep, it is also a matter of psychology, both at the group and very intimate level, and of politics.

The issue of politics must however be flagged.

The polycrisis affects us at every level. And if you want to take seriously the problem of thinking in medias res you cannot bracket the matter of psychology.

The tension of the current moment is not, after all, simply the result of long-term processes of development, or environmental change. It is massively exacerbated by geopolitical tension resulting from strategic decisions taken by state elites. Some of those are elected. Some not.

What is characteristic of the current moment, and symptomatic of the polycrisis, is that the decisive actors in Russia, China and the United States, the three greatest military powers, are all defining their positions as though their very identities were on the line.

Can one really say that the Biden administration, the Chinese, Putin’s regime are crisis-fighting? Are they not escalating?

It is surely a matter of both, and in interdependence. Each of the major powers will insist that they are acting defensively (crisis-fighting in the extended sense). But what this entails, if you feel fundamental interests are at stake, is escalation, even to the point of engaging in open warfare or risking atomic confrontation.

It is like the classic Cold War but only worse, because everyone feels under truly existential pressure and has a sense of the clock ticking. If no one confidently believes that they have time on their side - and who has that luxury in the age of polycrisis? - it makes for a very dangerous situation indeed.

I found the idea of polycrisis interesting and timely because the prefix “poly” directed attention to the diversity of challenges without specifying a single dominant contradiction or source of tension or dysfunction.

Inflammatory language has also been used by journalists, retired generals, celebrities, and social media influencers, according to experts who track the statements. Calls for Gaza to be “flattened,” “erased” or “destroyed” had been mentioned about 18,000 times since Oct. 7 in Hebrew posts on X,

The cumulative effect, experts say, has been to normalize public discussion of ideas that would have been considered off limits before Oct. 7: talk of “erasing” the people of Gaza, ethnic cleansing, and the nuclear annihilation of the territory.

Itamar Ben-Gvir, a right-wing settler who went from fringe figure to minister of national security in Mr. Netanyahu’s cabinet, has a long history of making incendiary remarks about Palestinians. He said in a recent TV interview that anyone who supports Hamas should be “eliminated.”

The idea of a nuclear strike on Gaza was raised last week by another right-wing minister, Amichay Eliyahu, who told a Hebrew radio station that there was no such thing as noncombatants in Gaza. Mr. Netanyahu suspended Mr. Eliyahu, saying that his comments were “disconnected from reality.”

Mr. Netanyahu says that the Israeli military is trying to prevent harm to civilians. But with the death toll rising to more than 11,000, according to the Gaza health ministry, those claims are being met with skepticism, even in the United States,

Such reassurances are also belied by the language Mr. Netanyahu uses with audiences in Israel. His reference to Amalek came in a speech delivered in Hebrew on Oct. 28 as Israel was launching the ground invasion. While some Jewish scholars argue that the scripture’s message is metaphoric not literal, his words resonated widely, as video of his speech was shared on social media, often by critics

“These are not just one-off statements, made in the heat of the moment,”

“When ministers make statements like that,” Mr. Sfard added, “it opens the door for everyone else.”

“Erase Gaza. Don’t leave a single person there,” Mr. Golan said in an interview with Channel 14 on Oct. 15.

“I don’t call them human animals because that would be insulting to animals,” Ms. Netanyahu said during a radio interview on Oct. 10, referring to Hamas

In the West Bank last week, several academics and officials cited Mr. Eliyahu’s remark about dropping an atomic bomb on Gaza as evidence of Israel’s intention to clear the enclave of all Palestinians — a campaign they call a latter-day nakba.

On Saturday, the Israeli agriculture minister, Avi Dichter, said that the military campaign in Gaza was explicitly designed to force the mass displacement of Palestinians. “We are now rolling out the Gaza nakba,” he said in a television interview. “Gaza nakba 2023.”

The rise in incendiary statements comes against a backdrop of rising violence in the West Bank. Since Oct. 7, according to the United Nations, Israeli soldiers have killed 150 Palestinians, including 44 children, in clashes.

the use of inflammatory language by Israeli leaders is not surprising, and even understandable, given the brutality of the Hamas attacks, which inflicted collective and individual trauma on Israelis.

“People in this situation look for very, very clear answers,” Professor Halperin said. “You don’t have the mental luxury of complexity. You want to see a world of good guys and bad guys.”

“Leaders understand that,” he added, “and it leads them to use this kind of language, because this kind of language has an audience.”

Casting the threat posed by Hamas in stark terms, Professor Halperin said, also helps the government ask people to make sacrifices for the war effort: the compulsory mobilization of 360,000 reservists, the evacuation of 126,000 people from border areas in the north and south, and the shock to the economy.

It will also make Israelis more inured to the civilian death toll in Gaza, which has isolated Israel around the world, he added. A civilian death toll of 10,000 or 20,000, he said, could seem to “the average Israeli that it’s not such a big deal.”

In the long run, Mr. Sfard said, such language dooms the chance of ending the conflict with the Palestinians, erodes Israel’s democracy and breeds a younger generation that is “easily using the language in their discussion with their friends.”

“Once a certain rhetoric becomes legitimized, turning the wheel back requires a lot of education,” he said. “There is an old Jewish proverb: ‘A hundred wise men will struggle a long time to take out a stone that one stupid person dropped into the well.’”

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.

— 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.

Countries’ commitments should reflect “equity and the principle of common but differentiated responsibilities and respective capabilities in the light of different national circumstances and in the context of sustainable development and efforts to eradicate poverty.”

It’s indisputable that poor nations should be allowed to develop and to eradicate poverty. Countries, obviously, can contribute to the global effort only to the extent of their capabilities

equity brings up a different, more slippery matter. What’s the just allocation of responsibility? What’s fair?

Countries, it turns out, have rather different takes on this question, potentially complicating efforts to make progress against climate change.

Consider the intended “nationally determined contributions” to battle climate change that various countries announced after the climate summit in Paris in 2015

One interesting study examined the notions of justice underpinning each national proposal. They were all over the map.

Critically, none of those experts considered the consequences of applying their logic to all countries across the board.

The aggregate notions of fairness did not add up to a solution. The countries that claimed responsibility for a small share of global emissions actually accounted for about a quarter of the total. Countries with per capita emissions ranging from 0.5 tons of carbon dioxide to 25 tons of CO2, roughly five times the global average, used this variable to justify modest plans.

The idea of an equitable and just distribution of responsibility might seem essential to achieve the shared goal of preventing a climate catastrophe

I can’t put precise odds on members of Congress accepting that the United States must bear one-fourth of the worldwide burden to cut greenhouse gas emissions because of the actions of long-dead Americans who had no idea they were causing damage. But the probability is quite low.

It seems only fair that countries such as the United States, which accounts for about a quarter of the greenhouse gases emitted by humanity since before the Industrial Revolution, should bear a much bigger share of the burden than, say, Brazil, which accounts for only 1 percent of historical emissions.

The United States, moreover, is quite rich and was made that way largely thanks to abundant and cheap fossil fuel.

Yet parsing how equity is to be achieved can get complicated

Should the goal be to equalize emissions per person, which today tilt heavily toward rich countries? (The United States emits some 18 tons per person; for India, the number is less than 3.

Or should we first cut emissions associated with the production of luxury goods and services that are mostly consumed in rich countries? Shouldn’t the emissions from producing the made-in-China toy you bought on Amazon accrue to the United States, where it is being played with?

They are in tension with the strategies championed by most rich countries, which are more sympathetic to the idea that historical emissions should be grandfathered in — not counted against them — and that they should be reduced in the future wherever reducing them is cheapest, which happens to be mostly in the developing world.

Many countries cannot afford the necessary mitigation pathways, either because they don’t have the resources to finance the new technologies needed to abandon fossil fuels, or because the resources they have are best deployed toward, say, buying air conditioning units or otherwise raising the standard of living.

There are essential truths that the world must acknowledge:

These countries are likely to face the gravest risks from climate change — whether measured in devastated crops, destroyed communities or people’s lives. Rich nations owe it to the world to ensure that resources and technologies are available for sufficient mitigation, adaptation and disaster relief

— not because they emitted a lot of greenhouse gases in the past, but because the task of preventing climate change and limiting its damage cannot be avoided, and they can afford it.

Many defended the fairness of their offer by pointing out that they accounted for a “small share” of global greenhouse gas emissions; others referred to their low per capita emissions. Many based their arguments on their vulnerability to climate change.

Consider the political ramifications of some climate justice arguments.

And that’s even without pointing out that China, today, emits more than double the amount of greenhouse gases the United States does.

Or consider how one research paper apportioned the remaining emissions budget — the greenhouse gases that can still be emitted in the future without breaching the warming ceiling (which in this estimate was set at 2 degrees Celsius)

It calculated nations’ responsibility for emissions starting only in 1992, when the world became aware of climate change, and assumed that each citizen of the world is entitled to the same budget since then. On this basis, it concluded that the United States would be entitled to 4.4 percent of the remainder, less than a fifth of its historic share.

That is fair. But it is also only 50 billion tons, or roughly nine years’ worth of emissions, at the nation’s current rate. I can’t imagine an administration that agreed to this surviving for long

The argument from guilt — built on the assumption that rich nations’ past development and emissions have incurred a moral debt to the rest of the world — will likely short-circuit the best case for action.

Better to draw on a different moral principle: to expect results from nations according to their capabilities and to assist them according to their needs. That frame could allow the job to get done.

Andrew Adams, a federal prosecutor leading the task force, said in an interview that “targeting people who make their living by providing a means for money laundering is a key priority.”

Along with the Amadea, Imperial Yachts oversaw the construction of the Scheherazade, a $700 million superyacht that U.S. officials say is linked to Mr. Putin, and the Crescent, which the Spanish police believe is owned by Igor Sechin, chairman of the state-owned oil giant Rosneft.

Mr. Timchenko and his partners designed the Scheherazade — seized in early May by the Italian police — as a gift for Mr. Putin’s use, according to the assessment. Together, the three vessels may have cost as much as $1.6 billion, enough to buy six new frigates for the Russian navy.

But U.S. officials are not buying such explanations. Elizabeth Rosenberg, the assistant secretary for terrorist financing and financial crimes at the Treasury Department, said it was the responsibility of people in the yacht services industry to avoid doing business with people under sanctions.“And if you do,” she said, “you yourself will be subject to sanctions.”

Mr. Kochman, 41, got his start in the yacht business in Russia in 2001, the year after Mr. Putin took power, selling Italian-made yachts.

“We grow with our clients like parents with babies,

Locals have never seen Mr. Khudainatov. Mariangela Canale, owner of the town’s 111-year-old bakery, said she was worried that Portofino would become a place where the homes were mere investments, owned by wealthy people who rarely visited, and the community would lose its soul. “Even the richest residents have always come for a chat or to buy my focaccia bread with their children, or have dinner in the piazza,” she said. “They live with us.”

“The client may be fully immersed in the project, he might not be,” he said in a phone interview. “I channel everything through Mr. Kochman.”

“We are not currently working with anyone on the sanctions list and we have shared all requested information with the authorities, with whom we continue to work,” the spokesman said in an email.

But according to U.S. investigators, Imperial Yachts brokered the sale of the Amadea late last year to Suleiman Kerimov, a Russian government official and billionaire investor who has been on the U.S. sanctions list since 2018. He was among a group of seven oligarchs who the American officials said “benefit from the Putin regime and play a key role in advancing Russia’s malign activities.”

Mr. Clark, the lawyer for Imperial Yachts, said the company “would never knowingly create structures to hide or conceal ownership, nor would we knowingly broker deals to sanctioned individuals.”

One thing is clear, according to the U.S. task force: Members of Mr. Kerimov’s family were on board the Amadea earlier this year, based on investigators’ interviews with crew members, reviews of emails between the ship and Imperial, and other documents from the superyacht including copies of passports.

The cast of characters restoring Villa Altachiara to its former glory is familiar. Mr. Kochman’s BLD Management is supervising the project. Mr. Gey is helping to oversee the local and international artisans restoring the interior of the mansion. Yachtline 1618, an Italian high-end carpentry company that has worked on Imperial Yachts projects, is also involved.

We buy your yachts and you buy our gas,”

“Everything is under very strict nondisclosure agreements,” Mr. Gey said. “It’s a standard in the industry.”He added, “It’s not like there is something to hide.”

this group of teens is extremely politically aware and active around issues ranging from racial injustice in the wake of George Floyd’s murder to climate change to LGBTQ+ rights. “If you want to have a more hopeful angle,” Damour said, “teenagers are incredibly skilled at organizing, incredibly skilled at using media networks to communicate with one another and to develop arguments and messaging. The teenagers I talk to are very clear about the sense that it will fall to them to try to make things better.”

By contrast, when I was in my teens, I was politically disengaged, and barely any national events broke through my adolescent myopia. I was cynical, sure — lots of teenagers are mini Holden Caulfields. But I didn’t do anything about it. We had the luxury back then of being cynical and doing nothing to improve things, or at least we thought we did. I think fewer teenagers subscribe to that cynical-and-also-apathetic model now.

According to a U.S. intelligence assessment, a group of investors led by one of Russia’s richest men, Gennady Timchenko, who has been under sanctions since 2014, provided the money to buy three ships: the Scheherazade, the Crescent and the Amadea, whose construction at a German shipyard was overseen by Imperial Yachts. Their combined cost of as much as $1.6 billion could have bought six new frigates for the Russian navy.

“Imperial Yachts conducts all its business in full compliance with laws and regulations in all jurisdictions in which we operate,” the company added. “We are not involved in our clients’ financial affairs.”

But Treasury officials disputed that contention in their announcement. U.S. and international authorities have moved to seize the three yachts connected to Mr. Kochman and his company.

In an interview Tuesday, before the new sanctions were announced, Elizabeth Rosenberg, the assistant secretary for terrorist financing and financial crimes at the Treasury Department, said that international cooperation to go after Russian oligarchs and their assets was increasing.

“It feels like we’re experiencing a sea change right now,” Ms. Rosenberg said. “It’s a huge leap forward on international cooperation for hunting assets, for freezing them and for pursuing law enforcement investigations and activity, including seizure activities.”

Treasury officials say taking action against oligarchs and the companies that help them spend their wealth will ultimately hurt the Russian government’s ability to wage war against Ukraine.

Spotify doesn’t have those things to turn to. So it’s been turning to podcasts. Besides enticing new subscribers with Spotify-branded podcasts—Rogan and Gimlet Media at the forefront of these—Spotify gets a new place to run ads. The podcast-advertising ecosystem is still lush enough to support additional harvesting. Spotify is betting that what used to be known as the music industry is in fact dead but that maybe the company can make money in the “audio industry.” But that shift involves decisions that disappoint even people jaded by years of experience with the recording business.

In the context of the devaluation of so many artists’ work, the backing of Rogan feels like a particularly nihilistic move. Spotify didn’t sign him for his talent or care at all about his impact—good or ill—on the world; with a heartless, almost video-game sensibility, they signed him to take market share from Apple and Google

Complaints against bloodless businessmen are hardly new. But what’s happening in music today feels less like individual acts of exploitation and more like the razing of an ecosystem.

When Rogan announced his signing, he emphasized that Spotify would have no creative control over his podcast. He was agreeing to a licensing deal, but he wouldn’t be an employee. “It will be the exact same show,” Rogan claimed

His comments fell somewhere between the gentle vibe of “Look, man, they’re offering me $100 million, so, uh, what am I supposed to do?” and a more aggressive “Spotify doesn’t own me, man. They are renting me for a certain period of time for $100 million—that’s different.” It’s infuriating that Rogan’s podcast has the trappings of counterculture while finding itself in such particular proximity to money and tech power. But I don’t know that, if I were Rogan, I would do much different.

Others in the “audio industry” face more discouraging trends. I suspect that the big record companies would dissolve if they weren’t still making so much money off the music of the 20th century.

I knew a lot of bands in the early 2000s whose members could quit their day job for a few years and make a living on relatively small amounts of record sales coupled with touring

Today, fewer artists are crossing the bar of being able to live purely off making and performing music. A lot of artists are failing to find a place in an “audio industry” that ever more efficiently mines smaller veins for what little cash can be extracted, or in a broader entertainment industry that has more in common with Marvel-movie spectacle than any particular sort of artistry.

My deep dread, though, is that this ability to tune out and focus on art becomes an aristocratic luxury; that a lack of money for music means a lack of money for musicians; that new ways of doing business are destroying the possibility of a creative middle class.

Solidarity is a tempting response to technological change, but my tired brain just can’t see the mechanism for it in this era. I honestly feel like a master sock weaver at the start of the industrial revolution. People will still get their socks, maybe worse than the ones before. And in the end, technology will plow us over.

What we now know is that, by not taking them seriously — by laughing at their vulgarity and what we thought was a pitiable desperation to be part of our national life — we allowed them to appropriate our politics and business and judiciary, taking what they wanted. Far from being the ridiculous basement-diggers we thought they were, many of them knew exactly what they were doing, like KGB agents. Was it co-ordinated? The aim, we now know, wasn’t to be friends with us.

For a certain type of impoverished British toff the arrival of the oligarchs was a five-star orgasm. There is no way of overstating the sheer bristling excitement that greeted them as they brought over their cash. This is as much a story of British greed as it is of Russian: having been dismissed by people with bigger titles, or sneered at for not having serious money, minor toffs like Elliot, George Osborne, even Prince Andrew and Boris Johnson, could not believe they would finally be getting unlimited access to where they thought they belonged: private jets and luxury yachts.

On March 11, YouTube’s parent company Google announced that it would block Russian state-backed media globally, including within Russia. The policy was an expansion of an earlier announcement that these channels would be blocked within the European Union. “Our Community Guidelines prohibit content denying, minimizing or trivializing well-documented violent events, and we remove content about Russia’s invasion in Ukraine that violates this policy,” Google said in a statement. “In line with that, effective immediately, we are also blocking YouTube channels associated with Russian state-funded media, globally.”

That could leave many millions of Russians cut off from independent news and content shared by opposition activists like Navalny’s team. (It would also effectively delete 75 million YouTube users, or some 4% of the platform’s global total—representing a small but still-significant portion of Google’s overall profits.)

Today, YouTube remains the most significant way for tens of millions of ordinary Russians to receive largely uncensored information from the outside world.

Part of the reason for YouTube’s survival amid the crackdown is its popularity, experts say. “YouTube is by far and away the most popular social media platform in Russia,” says Justin Sherman, a non-resident fellow at the Atlantic Council’s cyber statecraft initiative. The platform is even more popular than VK, the Russian-owned answer to Facebook.

Still, Sherman says the situation is volatile, with Russia now more likely than ever before to ban YouTube. For an authoritarian government like Russia’s, “part of the decision to allow a foreign platform in your country is that you get to use it to spread propaganda and disinformation, even if people use it to spread truth and organize against you,” he says. “If you start losing the ability to spread misinformation and propaganda, but people can still use it to spread truth and organize, then all of a sudden, you start wondering why you’re allowing that platform in your country in the first place.” YouTube did not respond to a request for comment.

On the same day as Navalny’s channel posted the video about Matviyenko, elsewhere on YouTube a very different spectacle was playing out. In a video posted to the channel of the Kremlin-funded media outlet RT, (formerly known as Russia Today,) a commentator dismissed evidence of Russian bombings of Ukrainian cities. She blamed “special forces of NATO countries” for allegedly faking images of bombed-out Ukrainian schools, kindergartens and other buildings.

“YouTube has, over the years, been a really important place for spreading Russian propaganda,” Donovan said in an interview with TIME days before YouTube banned Russian state-backed media.

In July 2021, the Russian government passed a law that would require foreign tech companies with more than 500,000 users to open a local office within Russia. (A similar law passed previously in India had been used by the government there to pressure tech companies to take down opposition accounts and posts critical of the government, by threatening employees with arrest.)