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

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

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

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

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

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

Liberals aren’t watching “Yellowstone” for cultural reasons, and conservatives love it for ideological ones, he said.

I watched all four seasons of “Yellowstone” through the lens of these asymmetries. The show is compelling but not groundbreaking. It is too easy to call it a conservative show. Like its audience counterpart, “Yellowstone” thinks it is at war with progress when it is really at war with itself.

when it comes to identity and tastes, Childress said it is a “mark of social status for liberals to be culturally omnivorous.”

In contrast, conservative audiences do not consider reading, watching or listening around a mark of status or identity. And they are more likely to dislike what liberals like than liberals are to dislike what conservatives like.

“People on the left like more pop culture than people on the right,’’ Childress said. “And people on the left don’t dislike what people on the right dislike.

The rejection of cosmopolitanism as a desirable attribute is more subtle, but present

The West of “Yellowstone” is multiethnic, multiracial and multi-class. There are Black cowboys and complex Native American characters. A pair of lesbians even makes an appearance in Season 2 (although there are no gay cowboys,

Regardless of whether you agree with the classification, you have an idea of what other people mean by “elite”: urban, sophisticated and educated. In short, the things that “Yellowstone” skewers at every opportunity. The characters despise California and San Francisco in particular

It accommodates feminism by making women the most vicious capitalist actors.

The slow dialogue of “Yellowstone” also rejects sophistication. The narrative plods even as the show’s many horses run. And the mood is dour; there aren’t many jokes

Those aesthetic choices implicitly argue for simplicity as a moral virtue, something John Dutton telegraphs when he tells a field hand that sometimes the world really is simple.

“Yellowstone” sidesteps Westerns’ romanticization of the white imaginary. At dinner last week with my family, my 30-something Black lesbian cousins gushed about the show, although they prefer its Native American characters to the Duttons.

There are few strivers in the world of “Yellowstone.” The show’s royalty grudgingly accept higher education as a strategic tool to beat the liberal do-gooders. The poor and disenfranchised don’t dream of going to college at all.

the show’s revenge is how well it exposes the material conditions of elitism. Its worldview resembles fantasy but it is brutally realistic about how power operates.

Whatever brings its audience to the show, once they arrive, they are playacting within the vision of America that “Yellowstone” holds. The show suggests that elitism and power can be reconciled with our need to be both moral and self-interested. It is a seductive fantasy because it does not ask the audience to give up anything.

The nominal diversity of the show’s cast implies that conservatives don’t hate anyone, as long as everyone is willing to conform to their way of life

It acknowledges white land theft and Native American grievance, but it does not make a case for reparations.

It accepts that Christopher Columbus was a colonizer but implies that the Duttons’ good-enough ends justify the means.

If the show rejects sophistication, it takes a hammer to education

And it depicts the police as feckless, but it does not want to abolish cops. It wants to choose the cops. That means a lot of guns.

“Yellowstone” does not just have gunfights. It has all-out wars. There are military-grade weapons, aerial assaults, night-vision goggles and automatic rifles. When John Dutton cannot win, he starts shooting.

“Yellowstone” isn’t ideologically driven, even if ideology is what makes it so comforting for conservative audiences.

in the end, the show shares a problem with Republican Party electoral politics: Neither offers a compelling vision of the future.

Republicans don’t solve problems like climate change or economic inequality or water rights or housing costs or stagnant wages. With Donald Trump and Mitch McConnell’s leadership, the G.O.P. does not even bother to sell a conservative story for America. Audiences looking for that vision in “Yellowstone” might find that cosmetic diversity needn’t be scary, but they won’t find much else.

Like Republicans, the Dutton dynasty has one defense against demography and time: Buy guns and hoard stolen power.

Russia’s military predicament is going from bad to worse. Occupying a thousand-kilometer front and reliant on massed firepower, the Russian military depends on creaking supply lines that run parallel to the front and that are increasingly vulnerable to Ukrainian precision attacks.

Meanwhile, Russia’s military mobilization is a deeply unpopular botch, as more Russian men flee the country than can be inducted into an army that cannot equip them, cannot train them, and cannot lead them.

More disasters await. Ten thousand to 20,000 of Russia’s best remaining troops are bottled up in the city of Kherson, their backs against the Dnipro River and the bridges behind them unusable for heavy traffic.

Surovikin—his face set in the menacing scowl of most Russian generals—will not be able to create a unified command organization overnight. Nor is he likely to escape the micromanagement from the Kremlin that seems to have plagued Russia’s war effort. What he will do, however, is repeat the brutalities over which he presided in Syria, where the Russian military gained experience not in fighting but in butchering civilians

Putin may now face the unappetizing choice between picking a more effective, colorful, and (on the nationalist right) popular set of subordinates who could turn on him, or sticking with the loyal but failed mediocrities who have absorbed the obloquy associated with Putin’s system and the president himself.

Dictatorships built solely on fear and self-interest are brittle things, and in Russia the cracks are showing.

Running throughout the open conduits of opinion, primarily on Telegram, is boiling discontent with the military, the conduct of this war, the absurd insistence that it is not a war but a “special technical operation,” the incompetent mobilization, and, by implication, Putin himself.

At the same time, Russian paranoia about the West, a combination of grievance and thwarted desires to restore an imperial state, has created an atmosphere in which measured policy is impossible.

All of this suggests that predictions of stalemate are wrong, at least so far as the higher conduct of this war is concerned. The impulse of General Surovikin will be to destroy civilians, power plants, and hospitals, because he cannot beat the Ukrainian army.

“Great battles, won or lost, change the entire course of events, create new standards of values, new moods, new atmospheres, in armies and in nations, to which all must conform.”

A much larger psychological disaster for Russia will ensue if and when Kherson falls and the largest city that Russia has taken is lost to Ukraine, together with thousands of Russian prisoners. That would be the real inflection point, a great battle, and as Churchill also put it:

By analysing some additional questions, taken from a survey by the independent pollster the Russian Field Group, we know that about a third of the Russian population constitutes a solid party of war; some 15% support the war with reservations; another 20% support the war but would have preferred it had the war never happened

The second narrative, prevalent on news programmes, emphasises that the “special military operation” in Ukraine is being conducted by professionals to liberate the Russian people of Donbas and other regions. It is presented as a “just war” predicated upon Russia’s responsibility to help Russians in need. Conflict with the West is a secondary consideration.

The pro-war party consists of three main groups: one is in favour of total war and a decisive confrontation with the West; the second believes that Russians are fighting a just war under the banner “responsibility to protect”. The third group mostly supports military action, but they conform possibly because they fear to confront Mr Putin and his supporters.

The first group passionately supports the way because they feel that the enemy is already on Russia’s doorstep; the other two see the threat as far away.

the chaotic nature of the mobilisation is throwing off Mr Putin’s calculations. It has undermined the common man’s confidence in the state machine, its efficiency and its dedication to a common cause. Thus it has undermined the very sense of unity and nationhood that Mr Putin hoped to manipulate. For one thing the mobilisation was announced too late, when Russian troops were already being defeated by Ukrainian ones. For another, it has exposed how the centralised administrative machinery, built by Mr Putin, struggles in an emergency. That is because it is built on corruption and sycophancy, not competence.

Overall, the war’s outcome will depend on the mood of the group who support it and on the group of conformists who go along with it. That is because its most avid proponents, and its most intractable opponents, will not change their minds

If those who see it as a “just” war start to suspect that it is slipping into an existential conflict with the West, or if conformists change their risk calculations because they face being drafted, the balance of opinion may shift decisively.

Nearly three quarters of the child and adolescent population in Pakistan experienced learning difficulties after widespread floods devastated the country in 2010.

For many young people, worry over threats of future climate change results in panic attacks, insomnia, obsessive thinking, and other symptoms

And those feelings are often amplified by a pervasive sense that older people aren’t doing enough to fix the climate problem. “There’s a feeling of intergenerational injustice,” says Lise Van Susteren, a general and forensic psychiatrist based in Washington, DC, who specializes in the mental health effects of climate change. “Many young people feel invalidated, betrayed, and abandoned.”

Research on effective interventions is virtually nonexistent, and parents and other people who want to help have little to go on. Professional organizations are only now beginning to provide needed resources.

News reports and researchers often refer to these feelings collectively as climate anxiety, or eco-anxiety, but Pinsky admits to having misgivings about the terms.

“Many people interpret anxiety as a pathological response that needs to be treated and solved,” she says. “But it’s also a constructive emotion that gives us time to react in the face of danger. And anxiety in the face of climate change is a healthy response to a real threat.”

others become progressively hyperaroused and panicky, Pinsky says, or else fall into a sort of emotional paralysis

Some people manage their climate-triggered emotions without spiraling into distress

These reactions can be especially debilitating for people who already struggle with underlying mental health disorders.

anxieties over climate change can interlace with broader feelings of instability over the pace of technological and cultural change,

“Technology is accelerating faster than culture can keep up, and humans in general are unmoored and struggling to adapt,” she says. “For some people, climate change is psychologically the last straw. You realize you can no longer count on the stability of your planet, your atmosphere — your very world.”

Van Susteren describes that anxiety as a type of pre-traumatic stress disorder, with few existing precedents in the United States apart from fears of nuclear annihilation and the decades-ago experience of living through classroom drills on how to survive an atom bomb attack.

Talk therapy for anxiety typically aims to help people identify and replace irrational thoughts, called cognitive distortions, with alternative thinking that isn’t so stressful. But since climate anxiety is based on rational fears, this particular approach risks alienating anyone who might feel their worries are being dismissed.

Younger people were increasingly arriving at Bryant’s office frightened, depressed, and confused about how to manage climate-triggered emotions. Some were even wondering if they should bring children into such a world.

“We’re not saying that anxiety is good or bad,” he says. “We just want to bring those feelings out into the open. It’s more about validating that climate concerns are reasonable given what we’re reading in the news every day.” Ann-Christine Duhaime

Emerging evidence suggests that young people do best by cultivating a sense of agency and hope despite their climate concerns.

getting to that point involves talking through feelings like despair, grief, or rage first. Without doing that, he says, many people get stuck in maladaptive coping strategies that can lead to burnout, frustration, or hopelessness. Bryant describes jumping into an urgent, problem-focused coping strategy as “going into action mode so you don’t have to feel any grief.”

Problem-focused coping has a societal benefit in that it leads to “pro-environmental behavior,” meaning that young people who engage in it typically spend a lot of time learning about climate change and focusing on what they can do personally to help solve the problem

But climate change is far beyond any one person’s control, and problem-focused coping can leave people frustrated by the limits of their own capacity and make them unable to rid themselves of resulting worry and negative emotions

she and her colleagues describe emotion-focused coping, whereby young people ignore or deny climate change as a means of avoiding feeling anxious about it. In an email, Ojala notes that people who gravitate toward emotional distancing typically come from families that communicate about social problems in “pessimistic doom-and-gloom ways.”

Ojala

Ojala and other experts favor a third coping strategy that balances negative feelings about climate change with faith in the power of social forces working to overcome it. Called meaning-focused coping, this approach takes strength from individual actions and climate beliefs, while “trusting th

her societal actors are also doing their part,”

since meaning-focused coping allows negative and positive climate emotions to coexist, young people who adopt it have an easier time maintaining hope for the future.

The overall goal, she says, is for young people to achieve more resilience in the face of climate change, so they can function in spite of their environmental concerns

When people find meaning in what they do, she says, they have a greater sense of their own agency and self-efficacy. “You’re more empowered to take action, and that can be a powerful way to deal with strong negative emotions,”

Duhaime cautions that anyone taking action against climate change should know they shouldn’t expect a quick payback

The brain’s reward system, which forms a core of human decision-making, evolved over eons of history to strengthen neural associations between actions and outcomes that promote short-term survival. And that system, she says, responds to the immediate consequences of what we do. One problem with climate change, Duhaime says, is that because it’s so vast and complex, people can’t assume that any single act will lead to a discernible effect on its trajectory

young people may benefit from seeking the rewards that come from being part of a group or a movement working to advance an agenda that furthers actions that protect the planet’s climate. “Social rewards are really powerful in the climate change battle, especially for young people,

Recognizing the mismatch between how the brain processes reward and the novel challenges of the climate crisis may help people persist when it feels frustrating and ineffective compared to causes with more immediately visible effects. Even if you don’t see climate improvements or policy changes right away, she says, “that won’t diminish the importance of engaging in these efforts.”

Malits adds that she wasn’t overly burdened by her emotions. “I’m an optimist by nature and feel that society does have the capacity to make needed changes,” she says. “And what also helps me avoid climate anxiety on a daily basis is the community that I’ve been lucky enough to connect with here at Harvard. It helps to surround yourself with people who are similarly worried about these issues and are also engaging with you on solutions, in whatever capacity is meaningful to you.”

“Climate anxiety is an important catalyst for the work I do,” Malits says. “I think you need avenues to channel it and talk about it with loved ones and peers, and have communities through which you can process those feelings and come up with remedies.” Collaborative activism dampens the anxiety, Malits says, and gives young people a sense of renewed hope for the future. “That’s why it’s important to roll up your sleeves and think about how you’d like to tackle the problem,”

Malits says she worries most about how climate change is affecting marginalized communities, singling out those who live in urban heat islands, where inadequate green space intensifies extreme heat.

nearly 30 percent of Honduras’s population works for the agricultural sector, where rising temperatures and drought are contributing to a mass exodus, as documented that year by PBS NewsHour.

Researchers are finding that young people with the most extreme fears over climate change live predominantly in the developing world. The Philippines and India, for instance, are near the top of a list of recently surveyed countries where young people report climate-driven feelings that “humanity is doomed” and “the future is frightening.”

Nearly a year after Hurricane Andrew struck South Florida in 1992, 18 percent of children living in the area were still struggling with PTSD-like symptoms, and nearly 30 percent of those who lived through Hurricane Katrina in 2005 wound up with complicated grief, in which strong feelings of loss linger for a long time.

Even when people are not uprooted by disaster, a variety of climate-related mechanisms can affect their mental health or the safety of their mental health treatment. High heat and humidity worsen irritability and cognition, he points out, and they can also exacerbate side effects from some common psychiatric medications

Levels of lithium — a mood stabilizer used for treating bipolar disorder and major depression — can rise to potentially toxic concentrations in a person who is perspiring heavily; they can become dehydrated and  may develop impaired kidney funtion, potentially causing tremor, slurred speech, confusion and other dangerous effects

“I believe the fundamental and best treatment for youth climate distress is a rapid and just transition from fossil fuels,” Pinsky says. “I genuinely consider all that work to be in the area of mitigating climate anxiety.”    

Monday’s rampage in Illinois marked the 15th time this year that four or more people were killed in a shootin

Of the 90,498 gun deaths in 2020 and 2021, 38,796 were homicides. Nearly 21,000 of those victims were Black men.

In 2020, while the overall crime rate nationwide fell, “that was not true for shootings,” Cook said. That year, he said, there was an “unparalleled” surge in people killed by firearms compared with 2019.

Solving more shootings, particularly nonfatal ones, “would interrupt the cycle of retaliation,” Cook said, and might improve local trust in the police. “That would be a productive use of money,” he said.

Police nationwide in 2020 “cleared” about half of all homicides, according to the FBI, which usually means that someone was arrested and charged or the case was closed another way, including the death of the attacker.

But three decades of research has established that people with mental illness are responsible for just a small percentage of interpersonal and gun violence.

“Anybody who shoots somebody else has a mental health challenge. Period,” Texas Gov. Greg Abbott (R) said shortly after the Uvalde shooting in May.

It’s clear that many other factors are more closely associated with gun violence than mental illness. They include experiencing trauma and violence during childhood, being young and male, living in neighborhoods where violence is more prevalent, poor impulse control, poor anger control, and perhaps most of all, easy access to a firearm.

There is one major, well-established connection between mental illness and gun violence: suicide.

officials must help create environments where there is less trauma in the home, support families and strengthen services for children in schools.

In 1994, Duke University gun violence researcher Jeffrey W. Swanson calculated that if all active psychotic and mood disorders were eliminated overnight, interpersonal violence would be reduced by just 4 percent

“We don’t have gun control as much as we have people control,” he said. “We try to figure out the people who are so dangerous that we have to limit their access to guns.”

In many other countries, guns are tightly restricted, but the United States has taken a different route, he said.

people in Florida with serious mental illnesses, including some who were committed to a psychiatric facility involuntarily or for a short-term emergency hold, 0.9 percent were arrested for a violent crime involving a gun within seven years — about the same rate as the general population.

The 1998 MacArthur Violence Risk Assessment Study, which followed 951 people who had been released from three psychiatric facilities, found that 23 committed 67 acts of interpersonal gun violence — a rate of 2 percent — in the next year. Just 19 of those acts, committed by nine people, were against strangers.

The consistent invocations of mental health after massacres such as those in Buffalo, Uvalde and Highland Park are ways for officials to distance themselves from the horror of the event, to explain the unfathomable,

“It’s a tragedy that demands explanation, and the stigma of mental illness is something that fuels pseudo-explanations,” she said. “It’s a fake explanation. Why has this man done this terrible thing? The answer is because he’s mentally ill. How do you know he’s mentally ill? Because he’s done this terrible thing.”

So fear creates recessions in the long run — and if we continue to have rising fear, the probability of a European recession grows and the probability of a US recession grows. Geopolitics is playing a bigger role in everyone’s equations.”

Geopolitical risk is a major component in shaping all our lives. We are having rising fear throughout the world, and less hope. Rising fear creates a withdrawal from consumption or spending more.

“When the Russian invasion occurred in Ukraine, we said that the peace dividend is over,” Larry Fink, chief executive of investment giant BlackRock, told The Sunday Times. “Now, with the instability in the Middle East, we’re going to almost a whole new future.

Dimon noted that inflation had “levelled off a little bit” overall, but said: “It’s not clear to me that long-term forces are not inflationary … And that’s why I’m saying rates could possibly go up from here. That’s life in the fast lane.”

Higher borrowing costs have started to hit debt-fuelled sectors that boomed in the zero-rates era — such as commercial property, where $80 billion (£65 billion) of assets across the US are in some form of financial distress, according to MSCI, and private equity.

[the legendary investor] Warren Buffett says you see who’s swimming naked when the tide goes out. Not everyone is really ready for 6 or 7 per cent rates, but I wouldn’t rule them out.”

Fink pointed out that the transmission of rate rises into the US economy was less direct than in the UK

“I’m a fundamental believer that we’re going to have higher inflation for longer, and it’s going to require the [Fed] to raise rates higher — probably one or two more tightenings — and that will ultimately be the way we get into recession.”

Many senior figures on Wall Street worry about the US government’s ability to finance itself in the medium term. As in the UK, the market for government debt was underpinned by huge waves of quantitative easing (QE) after the financial crisis, as the Federal Reserve, in effect, bought assets including Treasuries to boost the economy. Following a revival of the programme during Covid, it came to an end in March last year.

The withdrawal of QE, combined with lacklustre appetite for Treasuries among US banks and international investors such as China, could force the government to pay higher prices at a time of near-record borrowing.

“It might be a 20km headwind right now, but next year it’s going to be 25km and it’s going to grow,” a top investor said of the decreasing international demand for US government debt.

US stock market floats and fundraisings, the heartbeat of capital markets, slumped to their lowest level since 1998 last year as the spike in interest rates punctured valuations of growth stocks in sectors such as tech and healthcare.

The cautious mood on Wall Street comes against a backdrop of surprisingly strong US growth. The economy expanded by an astonishing 4.9 per cent in the third quart

the Biden administration is shovelling stimulus into the system via big pieces of legislation promising to accelerate America’s adoption of renewables, rebuild its advanced semiconductor industry and increase its spending on roads, bridges and broadband.

We have huge stimulus,” said Fink. “People are not factoring in the Inflation Reduction Act, the Chips Act and the Infrastructure Act, which are about $970 billion of stimulus. Those are the largest stimuluses ever when there’s not a pandemic or a financial crisis ... And it’s at a time when you can have unions win a 25 per cent labour increase … These are very inflationary, whether it’s the fiscal stimulus or these wage increases.”

It all comes back to that word. Unexpectedly high growth, massive government stimulus and now two wars that threaten to spill out into broader crises — it all spells inflation. The flurry of hope in markets that Fed and the Bank of England have reached the top of their rate-raising cycles may yet prove premature

“The Greens were on the way to being a party of the political middle,” said Manfred Güllner, director of the Berlin-based Forsa Institute, a polling firm. “Now the Greens have landed back to exactly where they were for a long time: a small party that caters to its followers that is far removed from being a major party.”

As the Greens have pivoted back to their traditional agenda, the party has bumped up against the limits of what many Germans are willing to sacrifice at a time of economic insecurity stemming from the war in Ukraine, higher inflation and the lingering effects of the Covid pandemic.

Exhibit A in voter disillusionment was a bill that Mr. Habeck promoted requiring that newly installed home heating systems run on at least 65 percent renewable energy starting next year.

“They squandered a lot of their success because they seemed detached from ordinary people,” said Markus Ziener, a visiting fellow at the German Marshall Fund. “Instead of setting incentives, they were seen as telling people what’s right and what’s wrong, as wanting to lecture people.”

Experts said the law, which was passed in weakened form in September, has helped fuel the growing popularity of the far-right Alternative for Germany party, or AfD, which is polling at more than 20 percent, around the highest in its history.

Like other far-right parties across Europe, the AfD has added opposition to climate policies to its agenda, alongside issues like immigration, seeking to capitalize on the economic anxieties of working people.

“What happened with the Heizungsgezetz was all of a sudden literally the Greens were knocking on people’s doors, asking, ‘Show me your heating, and it has to change,’” said Andrea Römmele, a political scientist at the Hertie School in Berlin. “It was too fast.”

“It’s the deepest crisis in the Greens’ history,” he said. “Robert Habeck is the most talented politician in Germany by far. He has become a scapegoat. But he can get them past it.”

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.

“These are technologies that are supposed to be so democratized and universal, but they’re so heavily influenced by one person,”

“Everything they do is [framed as] a step toward much larger greatness and the transformation of society. But these are just cults of personality. They sell a product.”

during

“These are private-sector people making money off something that serves a public function. And when they take a turn because of very personal, very individual decisions, where a handful of people are shaping the trajectory of these companies, maybe even the existence of these companies, that’s something new we all have to deal with.”

where the other firms sold phones and search engines, Musk and Altman championed their work as a public mission for protecting mankind, with a for-profit business attached. It is notable that as private companies, they don’t have to report to federal regulators or to shareholders, who can vote down proposals or push back against their work.

The corporate storytelling that pushes technology as a force for public harmony has proved to be one of Silicon Valley’s great marketing tools, said Margaret O’Mara, a professor at the University of Washington who studies the history of technology. But it’s also obscured the dangers of centralizing power and subjecting it to leaders’ personal whim

“Silicon Valley has for years adopted this messaging and mood that it’s all about radical transparency and openness — remember Google’s ‘Don’t be evil’ motto? — and this idea of a kinder, gentle capitalism that’s going to change the world for the better,” she said.

“Then you have these moments of reckoning and remember: It’s capitalism. Some tech billionaires lost, and some other ones are winning,”

Jeff Hauser, the head of the left-leaning advocacy group Revolving Door Project, said in a statement Wednesday that Summers’s role on the board was a sign OpenAI was “unserious” about its oversight, and that it “should accelerate concerns that AI will be bad for all but the richest and most opportunistic amongst us.”

Ro Khanna, who represents parts of Silicon Valley, said in an interview that the OpenAI turmoil underscores concerns that “a few people, no matter how talented, no matter how knowledgeable, can’t be making the rules for a society on a technology that is going to have such profound consequences.”

“We’ve seen a parade of these big tech leaders come to D.C.,” Khanna said. “I think highly of them, but they’re not the ones who should be leading the conversation on the regulatory framework, what safeguards we need.”

Musk on Tuesday posted a message, under a picture of him holding a katana, saying, “There is a large graveyard filled with my enemies. I do not wish to add to it, but will if given no choice.”

Nearly 30 percent of the ultra-Orthodox public now supports the idea of military service, twenty points higher than before the war,

“Something fundamental has changed here, and we don’t know what it is yet,” said Yossi Klein Halevi, an author and fellow at the Shalom Hartman Institute, a research group in Jerusalem. “What we do know is that this is kind of a last chance for this country.”

Roughly a third of voters for Mr. Netanyahu’s right-wing party, Likud, have abandoned the party since Oct. 7, according to every national poll since the attack.

Perhaps surprisingly, 70 percent of Arab Israelis now say they feel part of the state of Israel, according to a November poll by the Israel Democracy Institute, a Jerusalem-based research group. That is 22 points higher than in June and the highest proportion since the group began polling on the question two decades ago.

But for others, the scale of the Oct. 7 atrocities has left them struggling to even empathize with Gazans, let alone retain hope in a peaceful solution to the conflict.In 2018, Mr. Klein Halevi, the author, wrote a book addressed to an imagined Palestinian, “Letters to My Palestinian Neighbor,” in which he attempted to set out a vision for a shared future between Arabs and Jews in the Middle East.Since Oct. 7, Mr. Halevi said, he has found it hard to even consider what such a future looks like. An observant Jew, he still prays for Palestinians, but more from duty than empathy, he said.“I spent years explaining the Israeli narrative and absorbing the Palestinian narrative — and I tried to find a space where both could live together,” Mr. Klein Halevi said.“I don’t have that language right now,” he said. “It’s emotionally unavailable to me.”

Besides teenage girls, another new group was referred to us: young people from the inpatient psychiatric unit, or the emergency department, of St. Louis Children’s Hospital. The mental health of these kids was deeply concerning—there were diagnoses like schizophrenia, PTSD, bipolar disorder, and more. Often they were already on a fistful of pharmaceuticals.

Being put on powerful doses of testosterone or estrogen—enough to try to trick your body into mimicking the opposite sex—-affects the rest of the body. I doubt that any parent who's ever consented to give their kid testosterone (a lifelong treatment) knows that they’re also possibly signing their kid up for blood pressure medication, cholesterol medication, and perhaps sleep apnea and diabetes. 

There are rare conditions in which babies are born with atypical genitalia—cases that call for sophisticated care and compassion. But clinics like the one where I worked are creating a whole cohort of kids with atypical genitals—and most of these teens haven’t even had sex yet. They had no idea who they were going to be as adults. Yet all it took for them to permanently transform themselves was one or two short conversations with a therapist.

Other girls were disturbed by the effects of testosterone on their clitoris, which enlarges and grows into what looks like a microphallus, or a tiny penis. I counseled one patient whose enlarged clitoris now extended below her vulva, and it chafed and rubbed painfully in her jeans. I advised her to get the kind of compression undergarments worn by biological men who dress to pass as female. At the end of the call I thought to myself, “Wow, we hurt this kid.”

How little patients understood what they were getting into was illustrated by a call we received at the center in 2020 from a 17-year-old biological female patient who was on testosterone. She said she was bleeding from the vagina. In less than an hour she had soaked through an extra heavy pad, her jeans, and a towel she had wrapped around her waist. The nurse at the center told her to go to the emergency room right away.

We found out later this girl had had intercourse, and because testosterone thins the vaginal tissues, her vaginal canal had ripped open. She had to be sedated and given surgery to repair the damage. She wasn’t the only vaginal laceration case we heard about.

Bicalutamide is a medication used to treat metastatic prostate cancer, and one of its side effects is that it feminizes the bodies of men who take it, including the appearance of breasts. The center prescribed this cancer drug as a puberty blocker and feminizing agent for boys. As with most cancer drugs, bicalutamide has a long list of side effects, and this patient experienced one of them: liver toxicity. He was sent to another unit of the hospital for evaluation and immediately taken off the drug. Afterward, his mother sent an electronic message to the Transgender Center saying that we were lucky her family was not the type to sue.

Here’s an example. On Friday, May 1, 2020, a colleague emailed me about a 15-year-old male patient: “Oh dear. I am concerned that [the patient] does not understand what Bicalutamide does.” I responded: “I don’t think that we start anything honestly right now.”

There are no reliable studies showing this. Indeed, the experiences of many of the center’s patients prove how false these assertions are. 

Many encounters with patients emphasized to me how little these young people understood the profound impacts changing gender would have on their bodies and minds. But the center downplayed the negative consequences, and emphasized the need for transition. As the center’s website said, “Left untreated, gender dysphoria has any number of consequences, from self-harm to suicide. But when you take away the gender dysphoria by allowing a child to be who he or she is, we’re noticing that goes away. The studies we have show these kids often wind up functioning psychosocially as well as or better than their peers.” 

When a female takes testosterone, the profound and permanent effects of the hormone can be seen in a matter of months. Voices drop, beards sprout, body fat is redistributed. Sexual interest explodes, aggression increases, and mood can be unpredictable. Our patients were told about some side effects, including sterility. But after working at the center, I came to believe that teenagers are simply not capable of fully grasping what it means to make the decision to become infertile while still a minor.

To begin transitioning, the girls needed a letter of support from a therapist—usually one we recommended—who they had to see only once or twice for the green light. To make it more efficient for the therapists, we offered them a template for how to write a letter in support of transition. The next stop was a single visit to the endocrinologist for a testosterone prescription. 

The doctors privately recognized these false self-diagnoses as a manifestation of social contagion. They even acknowledged that suicide has an element of social contagion. But when I said the clusters of girls streaming into our service looked as if their gender issues might be a manifestation of social contagion, the doctors said gender identity reflected something innate.

Frequently, our patients declared they had disorders that no one believed they had. We had patients who said they had Tourette syndrome (but they didn’t); that they had tic disorders (but they didn’t); that they had multiple personalities (but they didn’t).

The girls who came to us had many comorbidities: depression, anxiety, ADHD, eating disorders, obesity. Many were diagnosed with autism, or had autism-like symptoms. A report last year on a British pediatric transgender center found that about one-third of the patients referred there were on the autism spectrum.

This concerned me, but didn’t feel I was in the position to sound some kind of alarm back then. There was a team of about eight of us, and only one other person brought up the kinds of questions I had. Anyone who raised doubts ran the risk of being called a transphobe. 

I certainly saw this at the center. One of my jobs was to do intake for new patients and their families. When I started there were probably 10 such calls a month. When I left there were 50, and about 70 percent of the new patients were girls. Sometimes clusters of girls arrived from the same high school. 

Until 2015 or so, a very small number of these boys comprised the population of pediatric gender dysphoria cases. Then, across the Western world, there began to be a dramatic increase in a new population: Teenage girls, many with no previous history of gender distress, suddenly declared they were transgender and demanded immediate treatment with testosterone. 

Soon after my arrival at the Transgender Center, I was struck by the lack of formal protocols for treatment. The center’s physician co-directors were essentially the sole authority.

At first, the patient population was tipped toward what used to be the “traditional” instance of a child with gender dysphoria: a boy, often quite young, who wanted to present as—who wanted to be—a girl. 

During the four years I worked at the clinic as a case manager—I was responsible for patient intake and oversight—around a thousand distressed young people came through our doors. The majority of them received hormone prescriptions that can have life-altering consequences—including sterility. 

I left the clinic in November of last year because I could no longer participate in what was happening there. By the time I departed, I was certain that the way the American medical system is treating these patients is the opposite of the promise we make to “do no harm.” Instead, we are permanently harming the vulnerable patients in our care.

Today I am speaking out. I am doing so knowing how toxic the public conversation is around this highly contentious issue—and the ways that my testimony might be misused. I am doing so knowing that I am putting myself at serious personal and professional risk.

Almost everyone in my life advised me to keep my head down. But I cannot in good conscience do so. Because what is happening to scores of children is far more important than my comfort. And what is happening to them is morally and medically appalling.

For almost four years, I worked at The Washington University School of Medicine Division of Infectious Diseases with teens and young adults who were HIV positive. Many of them were trans or otherwise gender nonconforming, and I could relate: Through childhood and adolescence, I did a lot of gender questioning myself. I’m now married to a transman, and together we are raising my two biological children from a previous marriage and three foster children we hope to adopt. 

The center’s working assumption was that the earlier you treat kids with gender dysphoria, the more anguish you can prevent later on. This premise was shared by the center’s doctors and therapists. Given their expertise, I assumed that abundant evidence backed this consensus. 

All that led me to a job in 2018 as a case manager at The Washington University Transgender Center at St. Louis Children's Hospital, which had been established a year earlier. 

I said that to my Russian colleague, and tried very hard not to show how my voice was trembling. She asked for forgiveness again.

There is a famous phrase, “4am Kyiv is bombed”. Every Ukrainian and Russian kid knows it. That’s how the announcement of the German bombardment of Kyiv in 1941 sounded.And here we are: 24 February 5am Kyiv is bombed by Russia.

A famous Russian independent journalist called me for a quote after Russia launched airstrikes all over Ukraine. We have never met but she started begging for forgiveness for what her country is doing and may do to mine. Both of us are experienced reporters and used to covering hard stories, conflicts. We talked, and we cried.

yet it is one the government’s opponents are always reluctant to admit because its logical corollary is that there will always be an incentive for those not included under the cap to try their luck in the Channel — unless they perceive a high risk of deportation. You cannot stop the boats while taking in the passengers.

Sunak’s policy, despite its logic, faces a tortuous road ahead. To ministers’ surprise, they won their case on the Rwanda scheme in British courts last year, only to have the first flight blocked in the middle of the night by an ECHR judge.

Yet as the home secretary recently suggested, the government still believes it can get its way. The ECHR, despite its reputation for inflexible and expansionist application of human rights law, can be expedient when its institutional reach is under threat

In 2012, for example, after an unmanageable surge of cases that provoked European governments’ wrath, the ECHR agreed to limit itself to intervening only where it believed national courts had not done their jobs properly. Its caseload quickly shrank.

With the UK outside the EU and therefore able to leave the ECHR with relative ease, the court’s survival instinct has kicked in. Its officials are said to have been taken aback by the hostility to its Rwanda injunction last June and are in a mood to compromise to avoid the risk of losing the UK altogether

Even assuming the legislation takes full effect, it may not work. Migrant arrivals are expected to reach 65,000 this year. The asylum backlog stands at 166,000 and counting, hotels are full to bursting and the government hasn’t yet sent a single person to Rwanda, which in turn hasn’t built the capacity to house more than 200. No wonder most think the policy is doomed.

It all depends on what’s required to deter people from crossing. The aim, after all, isn’t to run a constant, high-volume travel service to Kigali, but to stop people from getting on boats in the first place. This may already be working

There has been a sharp drop in the number of Albanians arriving on our beaches since the government signed a co-operation agreement with Tirana, stepped up deportations and publicised both.

evidence from Canada in 2016, where a publicity campaign highlighting the deportation of failed asylum seekers from Hungary led to a dramatic drop in arrivals.

Between the prospect of being deported, housed in unappealing lodgings such as barges and RAF bases rather than hotels, and caught by the French, who are being given large sums of money to step up their coastal policing, the government is hoping it can make trying to cross the Channel sufficiently unattractive

This leaves the final piece, which is the expansion of “safe and legal routes” to the UK. It has taken months of awkward media interviews, select committee hearings and the threat of a backbench rebellion, but the government has finally accepted it needs a better system for taking in legitimate refugees.

One way is a broader, Ukraine-style scheme, so households can bring in refugees if they agree to take them in

Another is to allow for more extended family reunifications for refugees who have relatives here

And another would be to expand the practice of assessing and accepting people at UN camps, like the Syrian resettlement scheme

After years of ineffectual government under Theresa May and Boris Johnson, we have become used to the idea that ministers never have any ability or intention of keeping their promises

Tesla’s net favorability rating among Republicans has improved slightly, to 27 percentage points in November from 21 percentage points in August,

Nearly half of Germans who are contemplating or actively looking to buy a new car said the Twitter takeover had turned them away from considering a Tesla

Tesla’s sales in China through November were 59 percent higher than a year earlier, according to data from the China Passenger Car Association, but that was slower than overall growth of “new energy vehicles” — a category that includes all-electric cars and plug-in hybrids. Sales of these vehicle have doubled, while BYD, the market leader, increased its sales more than threefold