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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.

Putin may be possessed by neo-imperial dreams of Russia’s place in Europe, but he is presiding over a state of affairs that has steadily given Beijing more leverage over Moscow. Far removed from the days of the Cold War when the Kremlin viewed communist China as its “poorer cousin,” Russia — isolated and enfeebled — is sliding inexorably into the role of “junior partner” to the Asian giant.

The war in Ukraine has rendered Russia increasingly dependent on China: Sanctions have curtailed the global market for its exports and thinned out possible suppliers for its exports. Enter China, whose imports from Russia have surged, jumping 80 percent in May compared with last year, largely in the form of oil and other natural resources. The Russian market, left bereft of many European products, may get all the more flooded by Chinese goods and technology in the months and even years ahead.

Gabuev suggested that current trendlines could see China’s renminbi, which has already outperformed the euro on Moscow’s stock exchange, becoming “the de facto reserve currency for Russia even without being fully convertible,” and thereby “increasing Moscow’s dependence on Beijing.”

Imbalances that already existed between both countries are only amplifying. China is edging closer to Russia as a leading arms supplier to developing countries. Russia was compelled to significantly discount oil sales to China, while Chinese car manufacturers — recognizing the paucity of options now facing Russian consumers — have in some instances raised prices for their vehicles in Russia by 50 percent

Gabuev unpacked the geopolitical ramifications of Russia’s supplication to China. “To keep China happy, Russian leaders will have little choice but to accept unfavorable terms in commercial negotiations, to support Chinese positions in international forums such as the United Nations, and even to curtail Moscow’s relations with other countries, such as India and Vietnam,”

Even in the remote scenario where Putin himself falls, it’s hard to imagine the broader tectonic realignments taking place would shift all that much. “Russia is turning into a giant Eurasian Iran: fairly isolated, with a smaller and more technologically backward economy thanks to its hostilities to the West but still too big and too important to be considered irrelevant,

With China as Russia’s biggest external partner and major diplomatic ally, Gabuev concluded, “the aging ruling elite in the Kremlin, myopically fixated on Washington, will be even more eager to serve as China’s handmaidens as it rises to become the archrival of the United States.”

“The best way for the West to deal with the China-Russia alignment is to acknowledge that these bonds are strong and to improve its own resilience and deterrence capacities,” wrote Justyna Szczudlik, a China analyst at the Polish Institute of International Affairs.

the money markets were not waiting for an act of faith in Laffer Curve fundamentalism after all. This was “Reaganism without the dollar.” Without the confidence afforded to the global reserve currency, the pound went into free fall.

Ms. Truss and Mr. Kwarteng seemed to have believed that by patching together all of the most radical policies of Thatcherism (while conveniently dropping the need for spending cuts), they would be incanting a kind of magic spell, an “Open sesame” for “global Britain.” This was their Reagan moment, their moment when, as their favorite metaphors put it, a primordial repressed force would be “unchained,” “unleashed” or “unshackled.”But as a leap of faith, it broke the diver’s neck.

As Thatcher herself put it, “Economics are the method; the object is to change the heart and soul.” Britain needed a leap of faith to restore itself.

While the Gen X Thatcherites didn’t scrimp on data, they also saw something ineffable at the root of British malaise. “Beyond the statistics and economic theories,” they wrote, “there remains a sense in which many of Britain’s problems lie in the sphere of cultural values and mind-set.”

“Britannia Unchained” expressed a desire to go back to the future by restoring Victorian values of hard work, self-improvement and bootstrapping.

They followed their idol not only in her antagonism to organized labor but also in her less-known fascination with Asian capitalism. In 2012’s “Britannia Unchained,” a book co-written by the group that remains a Rosetta Stone for the policy surprises of the last month, they slammed the Britons for their eroded work ethic and “culture of excuses” and the “cosseted” public sector unions. They praised China, South Korea, Singapore and Hong Kon

Thatcherites, known collectively as the ultras, gained fresh blood in the 2010s as a group of Gen Xers too young to experience Thatcherism in its insurgent early years — including the former home secretary Priti Patel, the former foreign secretary Dominic Raab, the former minister of state for universities Chris Skidmore, Mr. Kwarteng and Ms. Truss — attempted to reboot her ideology for the new millennium.

Over the subsequent four decades, Thatcherites at think tanks like the Institute of Economic Affairs and the Centre for Policy Studies (which Margaret Thatcher helped set up) described the struggle against both the Labour Party and the broader persistence of Socialism in the Communist and non-Communist world as a “war of ideas.”

Thatcherism began in the 1970s. Defined early as the belief in “the free economy and the strong state,” Thatcherism condemned the postwar British welfare economy and sought to replace it with virtues of individual enterprise and religious morality.

There’s something tragicomic, if not tragic, about capitalist revolutionaries Ms. Truss and Mr. Kwarteng laid low by the mechanisms of capitalism itself. Ms. Truss and Mr. Kwarteng may be the last of the Thatcherites, defeated by the very system they believed they were acting in fidelity to.

The world has just witnessed one of the most extraordinary political immolations of recent times. Animated by faith in a fantasy version of the free market, Prime Minister Liz Truss of Britain set off a sequence of events that has forced her to fire her chancellor of the Exchequer, Kwasi Kwarteng, and led her to the brink of being ousted by her own party.

But, OK - let’s accept the conflation of the Israeli state with the Jewish people for now. The immediate question is, on what planet does Israel stand alone?

There is such a powerful urge among Israel’s defenders to make the country out to be an underdog, but there is absolutely no rational basis for doing so. Israel enjoys one of the most powerful and advanced militaries on earth. Despite the conflict, Israeli citizens are actually remarkably safe from violence compared to most of the countries on the globe

All of that would be jeopardized if Israel did in fact stand alone. But it doesn’t! Indeed, it’s hard to name nation states that enjoy more diplomatic protection than Israel.

The subhead of this piece for the Free Press (which is proving itself to be, let’s say, not particularly free when it comes to this issue) reads “after the worldwide celebration of our people’s slaughter, my hope for peace is dead.” What? Worldwide celebration? Because a few dozen dopey college kids held a few small rallies? As of four days ago, at least forty-four countries expressed support for Israel in this conflict. How many will officially express support for the people dying by the droves in Gaza? Even the establishment governments of the greater Middle East (almost universally corrupt, theocratic, or both) don’t offer any real support to Palestinians. How much more support do you need, exactly, before you stop pretending like everyone is out to get you?

When you say no one stands with Israel, what the fuck are you talking about? I cannot fathom how anyone, even the most dedicated Zionist and supporter of the Netanyahu government, could believe that Israel is the vulnerable party in this exchange.

If we define the left as broadly and loosely as possible, we can say that one thing the left has certainly accomplished this past half-century is to associate moral superiority with the underdog. This is by turns both deeply misguided and an expression of an essential truth

this folk morality, maybe righteous, maybe misguided, most likely both, has become the default ethical firmament of modern politics. Sometimes Israel’s defenders argue that being the more powerful force does not make you wrong; that’s true, but their hearts never appear to be in it. They seem to feel the tug of powerlessness, the desire to wear the sad but comfortable cloak of a refugee people, a natural and sympathetic impulse for a people still defined by the diaspora.

Every time the Israel-Palestine conflict heats up again, certain elements within the pro-Israel coalition use creepy rhetoric to insist that everyone must be fully committed to Israel, that siding against Israel should not be within the sphere of legitimate debate. This takes place against a backdrop where principled supporters of the Palestinians argue that there’s a chilling effect created by pro-Israel hardliners which squelches legitimate debate, and where anti-Semitic conspiracy theorists claim that Jews pull the strings behind the scenes. All this loose talk about what we must do and must say does nothing to rebut the former and just plays into the propaganda of the latter. I wish people would stop doing it.

And if Israel’s defenders feel put upon, othered, alone, it’s because Israel and Israel alone has the power to make Palestinians free. I’m sorry, but it’s not a moral principle that says that Israel must bear responsibility for achieving peace and freedom. It’s a purely pragmatic statement of the reality of Israel’s overwhelming power in the region. Choosing sides has nothing do with it.

The fact remains, though - and it is a fact, an objective fact, an empirical fact, no matter how mad it makes people - that Hamas has always been empowered by Israel’s violence and oppression. I’m sorry if this is hard to accept, but Palestine is a Chinese finger trap; the more Israel pulls away, the more tightly the conflict will grip the country.

Permanent statelessness and dispossession for the Palestinians will ensure violence for generations. Only freedom for Palestinians can bring peace, and that’s the most hardheaded, ruthlessly pragmatic point anyone can make about this horrid crisis.

I need make no grand loyalty statements because my views on this conflict have been plain for many years: the moral imperative is that we create total legal and political equality for all people in the land between the Mediterranean and the Jordan River, as basic democratic principles demand, and that all people in that land enjoy safety and prosperity

Or, I suppose, you could go through with the ethnic cleansing of Gaza, as a disturbing number of people are calling for. I doubt the world would stop you; that’s the upside of being Goliath. But that would destroy whatever hope there is left for Israel as a democratic state, a symbol of human rights. And I think that if you love Israel, the idea of Israel, you should fight like hell to stop that from happening. Because afterwards you’ll never be the same again.

The only way out is through de-escalation and the only permanent de-escalation is through formal legal recognition of Palestinians in the territories as full citizens in a democratic system. This might come from the establishment of a Palestinian state, or it might come with the absorption of the territories into a secular state of Israel-Palestine that extends perfectly equal legal and political rights to all people within it, as liberal values require

Serwer is a guy who constantly demands that he and his allies be allowed to do politics on easy mode, but he’s just part of a broader communal rejection of basic self-definition and comprehensible terms for this political tendency.

If you ask these people, are you part of a social revolution?, they’ll loudly tell you yes! Yes they are! They’re going to shake society at its very foundations. Well, OK then -what do I call your movement? You reject every name that organically develops! I’ll use the name you pick, but you have to actually pick one.

The basic stance of the social justice set, for a long time now, has been that they are 100% exempt from ordinary politics. BlackLivesMatter proponents have spent a year and a half acting as though their demand for justice is so transcendently, obviously correct that they don’t have to care about politics.

Well, sooner or later, guys, you have to actually give a shit about what people who aren’t a part of your movement think. Sorry. That’s life. The universe is indifferent to your demand for justice, and will remain so until you bother to try to change minds.

Do politics. Think and speak strategically. Be disciplined. Work harder. And for fuck’s sake, give me a simple term to use to address you. Please? Because right now it sure looks like you don’t want to be named because you don’t want to be criticized.

Edit: I might not have underlined this point enough - I sincerely am asking for a better term and would happily use one if offered. If woke, political correctness, identity politics, etc, are inflammatory terms, I'd be happy to substitute something that's not. But surely something is happening in our politics, and we have to be able to talk about it. So I'm asking for a name.

The economist Thomas Malthus, now dismissed by mainstream economics as an interesting crank, is resurrected by Galor as the man who correctly saw that for millennia humanity had been trapped by its own fertility into subsistence, starvation and famine. As soon as material matters improved, the birthrate went up, so did the population, and the pressure on food resources exploded – returning humanity to starvation

great sections of Galor’s book are to be applauded

What broke the Malthusian armlock on humanity’s destiny, argues Galor, is the gradual quickening in the introduction of technologies that required mass education for their successful implementation. This triggered a virtuous circle of more innovation, more investment in education, more need to invest in the quality of children rather than quantity, so that birthrates declined sufficiently to allow living standards and life expectancy to rise. Because it was now rational to invest in children’s education rather than get them working, child labour and exploitation fell away

Above all he shows how cultural attitudes persist long after whatever concatenation of events brought them into being, so that countries and cultures that get ahead tend to stay ahead

He is scathing about the shock programmes of market liberalisation that accompanied the “Washington consensus”, ignorant of these persistent traits. Effective market economies can’t be built spontaneously in cultures that are hostile to the very conception.

his optimism about humanity shines through – prize its diversity, commit to educate its children and they will find their way to innovate and create a culture of growth

It’s a great way to look at the world, but a healthy recognition that power, capitalism, finance, the existence and structure of states and public philosophies – some right, some wrong – are all part of the brew would have made his account more realistic

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.

In his book The Four Loves, C.S. Lewis outlines the ways in which citizens should love their nations.

healthy patriotism is rooted in this deep and natural sense of home, it rebukes any sense of chauvinism or xenophobia. “In any mind which has a pennyworth of imagination it produces a good attitude towards foreigners,” Lewis says, “How can I love my home without coming to realise that other men, no less rightly, love theirs.” 

“As the family offers us the first step beyond self-love,” writes Lewis, “so this offers us the first step beyond family selfishness.” 

Critically, love of country rooted in love of home “is not in the least aggressive.” It “asks only to be let alone.” That’s not to say that it’s pacifistic, but “it becomes militant only to protect what it loves.” 

he uses a key word—“home.” He compares the love of your country to the “love of home, of the place we grew up in or the places, perhaps many, which have been our homes; and of all places fairly near these and fairly like them; love of old acquaintances, of familiar sights, sounds and smells.” 

Because

It is this sense of peace and place that echoes in the prophet Micah’s words: “Everyone will sit under their own vine and under their own fig tree, and no one will make them afraid.”

No one claims that Ukraine is a perfect country.

, it is “not in the least aggressive.” It “asks only to be let alone.” As a nation that has endured its own aggressive attacks, how can we not empathize? How can we not do what we reasonably can to deter Russian aggression and help Ukrainians defend themselves?

But this moment should cast our existing obligations in a different light, reaffirming their immense value.

In fact, it is our understanding of the value of our national home—and the deeply destabilizing and violent pain of the loss of others’ national homes—that leads to the network of defensive alliances that has maintained great power peace for so long.

NATO is not “American imperialism.” Our defensive alliances in Asia aren’t the result of “imperial overreach.” To continue the comparison to home, a defensive alliance is akin to a neighborhood watch, where neighbors look after and protect each other.

It is no coincidence, however, that the unhealthy nationalism of the modern incarnation of America First does seek to repeat those past mistakes

the reason isn’t just tactical or strategic, it’s philosophical—rooted in temptations and vices that Lewis warns against in the Four Loves. 

Essentially, the warning is against a sense of superiority—about both the past and present. As Lewis said, a love of country can lead to a “particular attitude to our country’s past” that has “not quite such good credentials as the sheer love of home.” 

“The actual history of every country is full of shabby and even shameful doings … The heroic stories,” Lewis writes, “if taken to be typical, give a false impression of it

Why is that dangerous? Why is it so important to understand history in full?

At worst we can hold the “firm, even prosaic belief that our own nation, in sober fact, has long been, and still is markedly superior to all others.” This belief “can produce asses that kick and bite.” “On the lunatic fringe,” Lewis warned, “It may shade off into that popular Racialism which Christianity and science equally forbid.”

Interestingly enough, the sense of superiority can create the same outcome as the sense of national self-loathing you sometimes see on far-left and far-right.

The chauvinist has no concern beyond our borders. The angry critic says we have no right to demonstrate concern, so long as we are still so flawed

the result is similar—an insular people, focused on themselves.

A criminal regime is on the verge of kicking down the door of a national home, and our nation should stand with the innocent, with those who wish to be left alone. We are all Ukrainians now. 

Europeans and Ukrainians are skeptical of a major Russian invasion in Ukraine not because they have a more benign view of Mr. Putin than their American counterparts. On the contrary, it’s because they see him as more malicious. War, they reason, is not the Kremlin’s game. Instead, it’s an extensive suite of tactics designed to destabilize the West. For Europe, the threat of war could turn out to be more destructive than war itself.

that much is clear: The Kremlin wants a symbolic break from the 1990s, burying the post-Cold War order. That would take the form of a new European security architecture that recognizes Russia’s sphere of influence in the post-Soviet space and rejects the universality of Western values.

the goal is the recovery of what Mr. Putin regards as historic Russia.

Europeans and presumably Ukrainians believe that a hybrid strategy — involving military presence on the border, weaponization of energy flows and cyberattacks — will serve him better.

To see how that might play out, we need only look to Germany. Before the crisis, Germany was America’s closest ally in Europe, boasted a special relationship with Moscow and was the most important partner for Eastern and Central Europe. Today, some in Washington have questioned the country’s willingness to confront Russia, Berlin’s relationship with Moscow is fast deteriorating, and many Eastern Europeans are agitated by Germany’s apparent reluctance to come to their support.

The policy of maximum pressure, short of an invasion, may end up dividing and paralyzing NATO.

Germany, crucially, has not changed — but the world in which it acts has. (The country is “like a train that stands still after the railway station has caught fire,”

Today, geopolitical strength is determined not by how much economic power you can wield but by how much pain you can endure. Your enemy, unlike during the Cold War, is not somebody behind an iron curtain but somebody with whom you trade, from whom you get gas and to whom you export high-tech goods. Soft power has given way to resilience.

That’s a problem for Europe. If Mr. Putin’s success will be determined by the ability of Western societies to steel themselves for the pressure of high energy prices, disinformation and political instability over a prolonged period, then he has good reason to be hopeful

Europe is signally unprepared for these challenges. Remedying that, through investment in military capabilities, energy diversification and building social cohesion, should be the continent’s focus.

“If you invite a bear to dance, it’s not you who decides when the dance is over,” the Russian proverb goes. “It’s the bear.”

It often borrows the language of social justice movements

BimboTok came about at a time when the girlboss had more or less faded as a trendy cultural type

“I don’t know what the economy is, I don’t know what supply and demand is,” Ms. Chlapecka says in one video. “All I know is that our problems would be solved if we’d just print more money.” There’s a way in which her monologues can come to feel almost incisive — why can’t we print more money? The answer is complicated, obviously, and on some level Ms. Chlapecka knows that. “I’m asking a lot of questions that, yes, I have the answer to, but are also valid,” she said. “The whole world we made is literally made up, so we can make up solutions to the issues we have.”

Bimboism is the antithesis of the mode of feminism that was dominant in the 2010s, a kind of hyperambitious you-can-have-it-all feminism that can be summed up by the label “girlboss.”

It encourages asking the dumb questions that get to the heart of things.

Amid the resurgence of leftist politics, and the disillusionment with capitalism among millennials and Gen Z, the framing of careerism and individualism as feminist rings hollow

That girlboss model was critiqued for its lack of inclusivity — its overwhelming whiteness and its focus on a level of economic success that was never attainable for a vast majority of women.

Not to mention, girlboss aesthetics are simply cringe, for a generation steeped in internet irony.

In its most interesting form, bimboism also makes a connection between the ideas of pleasure — sexual pleasure, pleasure in clothes, pleasure in simply existing as a woman in the world with a body on display — and political gains that would make it more possible, like universal health care, student loan debt cancellation and abortion rights.

It’s anticapitalist, even anti-work. (In one video, another BimboTok comedian, @brattybarbiana, dances behind text that reads, “Rule of thumb: All relationships should be 50/50 … He works for his money, I spend it!”)

Bimboism offers an opposing and, to some, refreshing premise: Value me, look at me, not because I’m smart and diligent, but for the fact that I’m not.

But to dismiss this corner of the internet as totally backward would be to miss the point.

Is it really leftist for a woman to want to just go shopping and never get a job?

“Are you a leftist who likes to have their tits out? Do you like to flick off pro-lifers?” Chrissy Chlapecka asks the camera in a 51-second TikTok captioned “BIMBOS, RISE

Their average age is 68 years old and they have a lot in common. The collapse of the Soviet Union, which Mr Putin famously described as the greatest geopolitical catastrophe of the 20th century, was the defining episode of their adult lives

Four out of five have a KGB background, with three, including the president himself, coming from the ranks of counterintelligence. It is these hardened men, not polished diplomats like Foreign Minister Sergey Lavrov, who run the country’s foreign policy.

In recent years members of this group have become very vocal. Messrs Patrushev and Naryshkin frequently give lengthy interviews articulating their views on global developments and Russia’s international role.

According to them, the American-led order is in deep crisis thanks to the failure of Western democracy and internal conflicts spurred by the promotion of tolerance, multiculturalism and respect for the rights of minorities. A new multipolar order is taking shape that reflects an unstoppable shift in power to authoritarian regimes that support traditional values.

Given the state of affairs in Western countries, the pair contend, it's only natural that they seek to contain Russia and to install pro-Western regimes in former Soviet republics. The West’s ultimate goal of a colour revolution in Russia itself would lead to the country’s conclusive collapse.

Washington sees unfinished business in Russia’s persistence and success, according to Mr Putin’s entourage. As America’s power wanes, its methods are becoming more aggressive. This is why the West cannot be trusted

The best way to ensure the safety of Russia’s existing political regime and to advance its national interests is to keep America off balance.

Seen this way, Ukraine is the central battleground of the struggle. The stakes could not be higher. Should Moscow allow that country to be fully absorbed into a western sphere of influence, Russia’s endurance as a great power will itself be under threat

The fact that the new elite in Kyiv glorifies the Ukrainian nationalists of the 20th century and thumb their noses at Moscow is a huge personal affront.

Messrs Patrushev, Bortnikov and Naryshkin all find themselves on the US Treasury’s blacklist already, along with many other members of Mr Putin’s inner circle. There is no way back for them to the West’s creature comforts. They are destined to end their lives in Fortress Russia, with their assets and their relatives alongside them.

As for sanctions by sector, including those that President Joe Biden’s team plans to impose should Russia invade Ukraine, these may end up largely strengthening the hard men’s grip on the national economy

Import substitution efforts have generated large flows of budget funds that are controlled by the coterie and their proxies, including through Rostec. The massive state conglomerate is run by a friend of Mr Putin’s from his KGB days in East Germany, Sergey Chemezov

In a similar vein, a ban on food imports from countries that have sanctioned Russia has led to spectacular growth in Russian agribusiness. The sector is overseen by Mr Patrushev’s elder son Dmitry, who is Mr Putin’s agriculture minister.

further sanctions wouldn’t just fail to hurt Mr Putin’s war cabinet, they would secure its members' place as the top beneficiaries of Russia’s deepening economic autarky.

The same logic is true of domestic politics: as the country descends into a near-permanent state of siege, the security services will be the most important pillar of the regime. That further cements the hard men’s grip on the country

Russia’s interests are increasingly becoming conflated with the personal interests of the people at the very top of the system.

President Putin retaliated by taking over Crimea, a former Soviet republic that had been part of Ukraine since 1954. That same year, pro-Russian militants established a stronghold in the Donbas region of eastern Ukraine. The Ukrainian government gave the separatists self-rule in the region to end the conflict. However, the militants did not get the complete independence they wanted and sporadic fighting between Ukrainians and the Russian separatists continues to this day

Meanwhile, Switzerland, which has historically remained neutral during conflicts, announced it was freezing all assets owned by Russian individuals and companies.

giants BP and Shell, global bank HSBC, and the world's biggest aircraft leasing firm AerCap are among a growing list of companies that recently announced plans to exit Russia.

The conflict has been extremely hard for Ukrainians. At the president's request, all male citizens between 18 to 60 have stayed behind to defend their country. Meanwhile, the women, children, and the elderly are fleeing to safety in large numbers. The UN High Commissioner of Refugees estimates that about half a million Ukrainians have crossed into the neighboring countries since the start of the war. More than half of them have gone to Poland, while the rest have crossed over into Moldova, Slovakia, Romania, and Hungary.

If that continues, it will take five years, the length of a British parliament, for AI to become a thousand times more powerful

no one has yet determined how to solve the problem of “alignment” between AI and human values, or which human values those would be. Without that, says the leading US researcher Eliezer Yudkowsky, “the AI does not love you, nor does it hate you, and you are made of atoms it can use for something else”.

The rise of AI is almost certainly one of the two main events of our lifetimes, alongside the acceleration of climate change

open up a new age in which the most successful humans will merge their thinking intimately with that of machines

The stately world of making law and policy is about to be overtaken at great speed, as are many other aspects of life, work and what it means to be human when we are no longer the cleverest entity around.

what should we do about it in the UK? First, we have to ensure we, with allied nations, are among the leaders in this field. That will be a huge economic opportunity, but it is also a political and security imperative

Last week, ministers published five principles to inform responsible development of AI, and a light-touch regulatory regime to avoid the more prescriptive approach being adopted in the EU.

we will need much greater sovereign AI capabilities than currently envisaged. This should be done whatever the cost. Within a few years it will seem ridiculous that we are spending £100 billion on a railway line while being short of a few billion to be a world leader in supercomputing.

Before AI turns into AGI (artificial general intelligence) the UK has a second responsibility: to take the lead on seeking global agreements on the safe and responsible development of AI

even China should agree never to let AI come near the control of nuclear weapons or the creation of dangerous pathogens. The letter from the experts will not stop the AI race, but it should lead to more work on future safety and in parti

Last week, ministers said we should not fear AI. In reality, there is a lot to fear. But like an astronaut on a launch-pad, we should feel fear and excitement at the same time. This rocket is lifting off, it will accelerate, and we all need to prepare now.

Even as India has expanded defense ties with the United States and doubled bilateral trade over the past decade, to about $130 billion in goods alone, it has resisted American pressure to reconsider its strong relations with Russia. India has deepened connections with Europe and the Middle East, too; trade with the United Arab Emirates alone has reached $85 billion.

While India remains wary of becoming a pawn in the West’s fight with Beijing, and has not forgotten its frosty history with the United States, China has become an unavoidable focus after being a secondary threat for much of modern Indian history.

India’s socialist founding prime minister was accommodating of Communist China, but the bonhomie was shattered by a monthlong war in 1962 that left thousands dead. The relationship began to normalize in the 1980s even as incursions continued, and open channels of communication kept tensions down and elevated trade.

The situation changed in the years before Mr. Modi took office, she said. As its economy soared, China began flexing its muscles — investing heavily in its Belt and Road infrastructure initiative, which India saw as threatening its security and spheres of influence, and moving more aggressively on its borders and in the Indian Ocean.

As prime minister, he did not allow the embarrassment of the Chinese incursion in 2014 to dampen his red-carpet welcome to Mr. Xi. His subtle message — a warning that “a little toothache can paralyze the entire body” — carried the hope that Mr. Xi would come around.

That hope ended with the deadly 2020 clash in Eastern Ladakh. Now, it is clear that New Delhi is resigned to a long-term threat from China, a shift evident in Mr. Modi’s push for road and tunnel construction in border areas to support a large troop presence.