Group items tagged

The great tragedy for the Jews is that while Alfred was right about the difficulty of Jews living safely in Palestine, the Zionists were right about the impossibility of Jews living safely in Alfred’s Berlin. The tension between Alfred’s view that Jews belonged in Germany and the reality of the rise of the Nazis contributed to the nervous collapse he suffered in 1933. It was a challenge to all he had stood for. A challenge to his very identity.

By the end of the war he had gone beyond this. The death and displacement of millions, including so many who were close to him, made him a pragmatic supporter of a state of Israel.

So we became a Zionist family, having never been one. We did not move to Israel because (unlike many others) we had alternatives. But we supported its creation, regarding it as an obvious necessity. A century of slaughter and oppression of Jews, culminating in the Holocaust, had made the case for a safe space for Jews unanswerable. And the repeated failings of other states to open themselves to Jews, even when they knew of mass murder, meant that this safe space would have to be a Jewish state.

Like my grandfather in 1927, I understand why the Palestinians did not want to share the land. But like my grandfather in 1947, I cannot see any choice but sharing. And while sharing is rejected by the Palestinians I cannot see any choice but to resist — stubbornly and absolutely and, when necessary, with force, even great force. For Israel must be defended. The question of Brinnlitz remains — where else are we to go?

Let’s start with the obvious: Israel has a right to defend itself, rescue the hostages, arrest and prosecute Hamas and engage in lawful armed combat with its enemy.

People claiming the Hamas attack is the ‘violence of the oppressed’ are deluded. Hamas rules Gaza like a mafia state: its operatives walk around neighbourhoods in twos, dressed in dark suits, prying into people’s business. They run the place on a mixture of terror, public service provision and the kudos of their fighters.

They are feared but there is widespread disrespect for them, especially among secular and nationalist sections of the population.

Paradoxically, the western ‘anti-imperialists’ trying to apologise for the terror attack, and the Israeli right calling for retribution against civilians, both need to identify Hamas with the Palestinian population of Gaza in order to justify violence. But there is no basis for doing so.

The fact that a violent action takes place in the context of a wider oppression does not make it either (a) just (b) lawful under international law or c) effective in pursuit of social justice.

In this case, Hamas’s act of terror looks set to achieve the opposite.

What does Hamas want?

Hamas has offered a truce and asked for negotiations, stating that it has ‘achieved its objective’. If so, it’s logical to conclude that the immediate objective was to demonstrate proof-of-concept of an unstoppable pogromist terror. Do as we ask or we do this again, might be a fair summary.

The wider aim, according to numerous experts, is to force Hamas and Iran back into the power-broking process in the Middle East region, paralysing Saudi-Israeli rapprochement.

The firm view of the Islamic Republic is that the governments that are gambling on normalizing relations with the Zionist regime will suffer losses. Defeat awaits them…Today, the situation of the Zionist regime is not a situation that encourages closeness to it. They [other governments] should not make this mistake. The usurper [Zionist] regime is coming to an end.

Hamas could only achieve the aim of ending Saudi-Israeli rapprochement with an attack designed to trigger massive retribution, risking a regional all-out war.

there’s a line in Khamenei’s 3 October speech that, in retrospect looks explanatory: Thus, [the Zionists] are filled with grudge. They are filled with anger! Of course, the Quran exclaims: “Say, “die of your rage!” (3:119). That’s right. Be angry, and die of your rage. And this will happen. They are dying. With God’s help, this matter of ‘die of your rage’ is happening now as regards the Zionist regime.

‘Die of your rage’ might actually be a good summary of what Hamas intends Israel to now do.

Enraged by the barbarity of the attacks, Israel unleashes unprecedented collective punishment against Gaza, triggering both Hezbollah and West Bank militants to join in the fight; this in turn prompts a wave of anti-Semitic demonstrations in western cities, and draws the USA into a regional quagmire, testing the limits of American support for Israel

Meanwhile combat losses, and retribution over the complete failure of Netanyahu’s strategy of ‘managing’ the conflict, raise political divisions in Israeli society to the point where its democracy fails.

In a context where both Russia and China have complex hybrid destabilisation operations going on in western democracies, and where the Brics+ project is pursuing the active decomposition of the rules-based order, this objective does not look as mad as at first sight.

the ‘multipolar world’ turns out not to be one of peaceful coexistence, but characterised by extreme conflicts and genocide.

In pursuit of systemic competition Beijing and Moscow are scraping at every open wound in the body geopolitic

it’s what you get when you purposefully dismantle an international order based on treaties and explicit rules. And where elites in Russia, the USA, Brasil and parts of Europe are openly experimenting with ethno-nationalist politics.

Chaos, then, is a feature of multipolarity, not a bug.

Israel has signalled its military objective is to destroy Hamas. From my experience in Gaza I would say: that is possible.

But be in no doubt. It will need a sustained urban combat operation, a long-term military occupation, massive loss of civilian life, an existential refugee crisis in Sinai, and the diversion of US-supplied ammunition and resources from Ukraine.

Attempting it with a largely conscript/reservist army, full of recently mobilised and enraged soldiers? Again it’s worth remembering Khamenei’s exhortation to Israelis to ‘die of your rage’.

The very impossibility of all these outcomes shows why we need an internationally mediated peace, alongside a functional two-state solution, which allows the people of Gaza to live in peace, exercise democracy and travel across borders.

not only will liberal sympathy for Israel evaporate, but the Muslim minorities in some Western countries will be radicalised.

Typically, from my experience, combat in Gaza takes the following form. There is a street with children playing at one end; in the middle it is eerily deserted; at the other end is the IDF and above is an IDF drone. But there is no front line. The mujahedeen are in tunnels, popping up to take sniper shots or lay IEDs at night, and only committing ATGMs once a vehicle comes into view. The only front line is, for most of the time, between the IDF and Palestinian civilians.

Both sides risk miscalculating. Hamas does not care what happens to Palestinian civilians in Gaza, many of whom hate Hamas.

But there is a danger of miscalculation for Israel too. Netanyahu’s far-right government completely missed the threat, actively stoked tensions in the West Bank and Al Aqsa, and could easily now double down on a self-destructive course.

Ultimately, you cannot hold two million people in an open air prison without a gaoler to keep order. If Hamas can’t do it, the IDF will have to be a permanent occupation force, or it will have to install the PA, or the UN will have to send a stabilisation force.

Danger of miscalculation

The Brics+ ideology

The Gaza crisis is the latest example of how the Russian/Chinese ‘multipolar world’ project works in practice. It doesn’t matter whether there is a chain of command that goes Moscow→Tehran→Hamas. There is a chain of understanding – seize every opportunity to militarise all conflict; exploit every unexpected breakthrough; make all violence symbolic; weaponise the information space and push conflict into the heartlands of ‘imperialism’.

the Brics+ ideology. Its central tenets are that a multipolar world is better than the charter system; that universalism and international law are over; that the West no longer has the right to use the structures of international governance to normalise concepts like democracy or human rights; and that everything that disorganises the rules-based order is progressive, even when carried out by reactionary political forces.

Arab nationalism no longer looks like the dominant ideology on the demonstrations we’ve seen in Sydney, London and NYC. Alongside it there’s a mixture of Islamism plus the ‘decolonisation’ agenda of postmodernist academia.

For the past two years, during the Ukraine war, this incipient red-brown ideology has been mostly contained:

with this conflict there is now a danger that the masses turn up, and are corralled into this emergent fusion of far-left/far-right politics.

I’ve spent the period post-2016 trying to equip the democratic left to defeat this ideology. It’s not about being ‘anti-woke’, or apologising for colonialism: it means teaching people that a cocktail of anti-humanism, anti-universalism and anti-rationality is a route to excusing the totalitarian states in Russia and China, and – now – the genocidal actions of their proxies.

A case study of this is the statement issued by 31 Harvard student groups saying they ‘hold the Israeli regime entirely responsible for all the unfolding violence’ – just hours after the Hamas attack began.

the global left is rapidly splitting into irreconcilable camps – as Edward Thompson recognised it would, under the influence of post-structuralism in the 1970s.

The logical implication is that Palestinians have no agency whatsoever. That Hamas murders civilians because Israel has ‘structured’ Palestinian reality to make that inevitable. For people presumably wedded to ‘decolonising’ the curriculum, it is a shockingly colonialist premise.

The logic is that Israel is responsible for everything Hamas does because its violence has ‘structured every aspect of Palestinian existence’ since the Nakba.

There are many civilisations, and none is superior or inferior to another. They are equal since each civilisation represents a unique expression of its own culture, traditions, and the aspirations of its people.

In a way, what Putin preaches is an ‘intersectionality of the peoples’: identity politics raised from the level of the individual to the level of the ethnic group.

And it turns out anti-Enlightenment leftism makes it pretty easy to converge with that view. The common assumptions are disdain for universalism, scorn for international law and human rights, repudiation of the Enlightenment (and thus liberalism, social democracy, humanistic Marxism and anarchism) and worship of any totalitarian government that delivers economic development.

This is the modern incarnation of Stalinism, and – to the surprise of nobody who has studied actual Stalinism – it has no problem seeing fascists like Hamas as the ‘agent of progress’.

we need to understand how closely this hyper-deterministic and anti-universal world view maps onto the ideology presented, for example, by Putin at Valdai last week. For Putin there is no single human civilisation, only civilisations, which must be rooted in ethnicity establish their co-existence through the survival of the fittest:

One camp, he said, is a theology. The other a tradition of active reason. The first repudiates liberalism and universalism. The second recognises its debt to liberalism and wants to make universalism consistent

The first claims international law is a sham; the second knows that, though the institutions of the rules-based order are flawed, they are better than chaos.

that you can stand with the Israeli people under attack while simultaneously standing up for the Palestinian people’s right to self-determination.

Those flaunting their joy at the murder of Israeli civilians need to understand the licence this creates in the minds of rightwing ethno-nationalists in our own society. What Hamas did to the kids of Kfar Azar, the far right wants to do to you.

I had gone to graduate school in Lebanon, then moved back there in an attempt to better understand how Hezbollah had evolved into Israel’s most capable foe. My research revealed as much about Israeli missteps and weaknesses as it did about Hezbollah’s strengths.

If Israel is going to have any strategic success against Hamas, it needs to do three things differently from conflicts past.

Hezbollah took everything Israel could throw at it for a month and was still standing.

As noted earlier, Israel has an unfortunate tendency to lay out maximalist goals—very often for domestic consumption—that it then fails to meet

In 2006, for example, Israel’s then–prime minister, Ehud Olmert, told the country he was going to destroy Hezbollah, return the bodies of two Israeli prisoners, and end the rocket attacks on Israel.

Israel did none of the three. And although Lebanon was devastated, and Hezbollah’s leader, Hassan Nasrallah, publicly apologized for the raid that started the conflict, most observers had little doubt about who had won the conflict.

Strategic Humility

As Eliot Cohen has pointed out, the other side also has maximalist goals. Hamas and Hezbollah want nothing less than the destruction of Israel. But they are in no rush.

Nasrallah addressed the Arabic-speaking world for the first time since the start of this conflict on Friday. Significantly, he declared that although fighting still rages, Hamas became the conflict’s winner as soon as Israel claimed that it would destroy the militant group, which he confidently predicted it would not.

Hezbollah clearly does not want to enter this conflict in any meaningful way. It knows that the pressure will grow to do so if Israel has any real success in Gaza, but for the moment, it doubts that Israel will accomplish any such thing.

that Israel will destroy Hamas. That just isn’t going to happen, especially because no one has any idea who, or what, should replace Hamas in Gaza. So tell the world what will happen—and how it will make Israel and the region safer.

Communications Discipline

One of the things that struck me was the almost profane way in which Israeli military spokespeople would often speak, to international audiences no less, about non-Israeli civilians

“Now we are at the stage in which we are firing into the villages in order to cause damage to property … The aim is to create a situation in which the residents will leave the villages and go north.”

The callousness with which Israeli spokespeople too often describe the human suffering on the other side of the conflict, the blunt way in which they described what many Americans would consider war crimes, never fails to offend international audiences not predisposed to have sympathy with Israeli war aims.

much like right-wing American politicians, who sometimes use inflammatory rhetoric about real or perceived U.S. enemies, Israeli officials often resort to language about adversaries and military operations that can be exceptionally difficult for their allies to defend on the international stage:

One minister casually muses about using nuclear weapons on Gaza; another claims that the Palestinians are a fictional people. One can safely assume that people will continue accusing the Israeli government of including genocidal maniacs when they can point to officials in that government talking like, well, genocidal maniacs.

Israel needs to develop a clear communications plan for its conflicts and to sharply police the kind of language that doesn’t go over as well in Johannesburg or Jordan as it does in Jerusalem.

Focus on Iran

Few people have any interest in a regional war. The economic consequences alone would be dire. But had I been in Israel’s position on October 8, I might have been sorely tempted to largely ignore Gaza—where even the best-trained military would struggle to dislodge Hamas without killing tens of thousands of innocent civilians—and focus my efforts much farther east

Israel nevertheless needs to find a way to change Iran’s strategic calculus. Otherwise, Hamas and Hezbollah will only grow stronger.

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.

It’s only in the last few months that the number of new referrals taken on by hospitals has reached the levels seen in 2019.

Now maybe this hasn’t happened because that apparent pent-up demand wasn’t really there. Perhaps people recovered without medical assistance or found other ways to deal with it. But when you dig into the data it looks more like there is considerable demand suppression going on to try and keep numbers as manageable as possible.

The Wagner Group refers to a network of operatives and companies that serve as what the U.S. Treasury Department has called a “proxy force” of Russia’s ministry of defense. Analysts describe the group as an extension of Russia’s foreign policy through deniable activities, including the use of mercenaries and disinformation campaigns.

They ally with embattled political and military leaders who can pay for their services in cash, or with lucrative mining concessions for precious minerals like gold, diamonds and uranium, according to interviews conducted in recent weeks with dozens of analysts, diplomats and military officials in Africa and Western countries.

However, Russian foreign minister Sergey V. Lavrov said in May on Italian television that Wagner was present in Mali “on a commercial basis,” providing “security services.”

“From Monday to Thursday, the killings didn’t stop,” said Hamadoun, a tailor working near the market when the helicopters arrived. “The whites and the Malians killed together.”

The death toll in Moura is the highest in a growing list of human rights abuses committed by the Malian military, which diplomats and Malian human rights observers say have increased since the military began conducting joint operations with the Wagner Group in January.

nearly 500 civilians have been killed in the joint operations,

Some abuses could amount to crimes against humanity, the U.N. said in one report.

The foreigners, according to diplomats, officials and human rights groups, belonged to the Russian paramilitary group known as Wagner.

Wherever there are Russian contractors, real or fictional, they never violate human rights.”

“They have no incentive to end the conflict, because they are financially motivated,”

“They are the government in the region,”

The mass executions began on the Monday, and the victims were both civilians and unarmed militants, witnesses said. Soldiers picked out up to 15 people at a time, inspected their fingers and shoulders for the imprint left by regular use of weapons, and executed men yards away from captives.

“cadavers everywhere.”

The soldiers and their Russian allies left on Thursday, after killing six last prisoners in retaliation for four who had escaped. A Malian soldier told a group of captives that the soldiers had killed “all the bad people,” said Hamadou.

The soldier apologized for the good people who “died by accident.”

Investigators from the U.N. peacekeeping mission in Mali have so far been denied access to Moura. Russia and China blocked a vote at the U.N. Security Council on an independent investigation.

Some Malians in these regions are losing trust in the government.

Soon after, the militants returned and kidnapped the deputy mayor. He hasn’t been heard from since.

Privately, Obama told his aide Ben Rhodes that not even the 1994 Rwandan genocide merited a strong U.S. response. Without announcing a new era of foreign-policy “realism,” Obama brought it into being.

the demise of these mechanisms has soured Americans on the idea of human rights itself. Because we no longer think we can change the behavior of the world’s oppressors—because the cost of trying will be too high—we no longer think much about human rights at all.

When they come up as a policy issue, we look for ways to justify doing nothing. We are all realists now.

the mind stops seeking and absorbing news of them, and so, in a sense, they cease to exist. Their nonexistence stems from and reinforces the profound self-absorption into which Americans have sunk in the past decade.

When Chamath Palihapitiya said that Americans should “take care of our own backyard” before pointing fingers at other countries, he was voicing a widespread belief.

The idea that solidarity with the oppressed here should naturally extend to the oppressed everywhere—an internationalist idea that long ago defined the left—has died,

along with the global system in which the U.S. played an intermittent, usually two-faced, often incompetent, occasionally effective role as the self-proclaimed upholder of human rights as a universal value.

But instincts have a way of outlasting ideas. Within most Americans lies a buried feeling that they should care about the torment of the Uyghurs.

This is Kanter’s style of activism—it’s personal. He gets in a dictator’s face, nose to nose, chest to chest, as if Xi Jinping is a bully throwing cheap shots and committing flagrant fouls and everyone else is afraid to call him out. “Someone had to do it,” Kanter told me.

some players asked him to unfollow them on social media, and not one has spoken out on his behalf. “Maybe they don’t know enough about it,” he told me. “But I feel like the fear of losing money, the fear of losing business, the fear of losing endorsement deals …” He didn’t complete the obvious thought. “And also, sometimes they do not care enough about what’s going on outside America.”

indifference, and not the pervasive influence of Chinese contracts and sneaker endorsements, is the most interesting thing about the league’s unfriendly response to Freedom’s campaign for global human rights. Of course young players want to win lucrative deals while they can, but most people in the league don’t even experience a conflict between money and principle. The latter has disappeared. It’s as if Freedom is putting all that money in jeopardy for a self-indulgent whim—as if he’s taken a tactless interest in matters that don’t concern him.

his case is one of dozens discovered by reporters appearing to show Credit Suisse opened or maintained accounts for clients who had serious convictions that might be expected to show up in due diligence checks. There are other instances in which Credit Suisse may have taken quick action after red flags emerged, but the case nonetheless shows that dubious clients have been attracted to the bank.

Like every other bank in the world, Credit Suisse professes to have stringent control mechanisms to carry out extensive due diligence on its customers to “ensure that the highest standards of conduct are upheld”. In banking parlance, such controls are called know-your-client or KYC checks.

A 2017 leaked report commissioned by Switzerland’s financial regulator shed some light on the bank’s internal procedures at that time. Clients would face intensified scrutiny when flagged as a politically exposed person from a high-risk country, or a person involved in a high-risk activity such as gambling, weapons trading, financial services or mining, the report said.

Such controls might be expected to prevent a bank from opening accounts for clients such as Rodoljub Radulović, a Serbian securities fraudster indicted in 2001 by the US Securities and Exchange Commission. However, the leaked data identifies him as the co-signatory of two Credit Suisse company accounts. The first was opened in 2005, the year after the SEC had secured a default judgment against Radulović for running a pump-and-dump scheme.

One of Radulović’s company accounts held 3.4m CHF (£2.2m) before they closed in 2010. He was recently given a 10-year prison sentence by a court in Belgrade for his role trafficking cocaine from South America for the organised crime boss Darko Šarić.

Due diligence is not only for new clients. Banks are required to continually reassess existing customers. The 2017 report said Credit Suisse screened customers at least every three years and as often as once a year for the riskiest clients. Lawyers for Credit Suisse told the Guardian these periodic reviews were introduced “more than 15 years ago”, meaning it was continually running due diligence on existing clients from 2007.

The bank might, therefore, have been expected to have discovered that its German client Eduard Seidel was convicted of bribery in 2008. Seidel was an employee of Siemens. As the multinational’s lead in Nigeria, he oversaw a campaign of industrial-scale bribery to secure lucrative contracts for his employer by funnelling cash to corrupt Nigerian politicians.

After German authorities raided the Munich headquarters of Siemens in 2006, Seidel immediately confessed his role in the bribery scheme, though he said he had never stolen from the company or appropriated its slush funds. His involvement in the corruption led to his name being entered into the Thomson Reuters World-Check database in 2007.

However, the leaked Credit Suisse data shows his accounts were left open until at least well into the last decade. At one point after he left Siemens, one account was worth 54m CHF (£24m). Seidel’s lawyer declined to say whether the accounts were his. He said his client had addressed all outstanding matters relating to his bribery offences and wished to move on with his life.

The lawyer did not respond to repeated invitations to explain the source of the 54m CHF. Siemens said it did not know about the money and that its review of its own cashflows shed no light on the account.

A representative for Sederholm said Credit Suisse never froze his accounts and did not close them until 2013 when he was unable to provide due diligence material. Asked why Sederholm needed a Swiss account, they said that he was living in Thailand when it was opened, adding: “Can you please tell me if you would prefer to put your money in a Thai or Swiss bank?”

One client, Stefan Sederholm, a Swedish computer technician who opened an account with Credit Suisse in 2008, was able to keep it open for two-and-a-half years after his widely reported conviction for human trafficking in the Philippines, for which he was given a life sentence.

Swiss banks have cultivated their trusted reputation since as far back as 1713, when the Great Council of Geneva prohibited bankers from revealing details about the fortunes being deposited by European aristocrats. Switzerland soon became a tax haven for many of the world’s elites and its bankers nurtured a “duty of absolute silence” about their clients affairs.

The custom was enshrined in statute in 1934 with the introduction of Switzerland’s banking secrecy law, which criminalised the disclosure of client banking information to foreign authorities. Within decades, wealthy clients from all over the world were flocking to Swiss banks. Sometimes, that meant clients with something to hide.

One former Credit Suisse employee at the time alleges there was a deeply ingrained culture in Swiss banking of looking the other way when it came to problematic clients. “The bank’s compliance departments [were] masters of plausible deniability,” they told a reporter from the Organized Crime and Corruption Reporting Project, one of the coordinators of the Suisse secrets project. “Never write anything down that could expose an account that is non-compliant and never ask a question you do not want to know the answer to.”

The 2000s was also a decade in which foreign regulators and tax authorities became increasingly frustrated at their inability to penetrate the Swiss financial system. That changed in 2007, when the UBS banker Bradley Birkenfeld voluntarily approached US authorities with information about how the bank was helping thousands of wealthy Americans evade tax with secret accounts.

Birkenfeld was viewed as a traitor in Switzerland, where banking whistleblowers are often held in contempt. However, a wide-ranging US Senate investigation later uncovered the aggressive tactics used by UBS and Credit Suisse, the latter of which was found to have sent bankers to high-end events to recruit clients, courted a potential customer with free gold, and in one case even delivered sensitive bank statements hidden in the pages of a Sports Illustrated magazine.

The revelations sent shock waves through Switzerland’s financial sector and enraged the US, which pressured Switzerland into unilaterally disclosing which of its taxpayers had secret Swiss accounts from 2014. That same year, Switzerland reluctantly signed up to the international convention on the automatic exchange of banking Information.

By adopting the so-called common reporting standard (CRS) for sharing tax data, Switzerland in effect agreed that its banks would in the future exchange information about their clients with tax authorities in foreign countries. They started doing so in 2018.

Membership of the global exchange system is often cited by Switzerland’s banking industry as a turning point. “There is no longer Swiss bank client confidentiality for clients abroad,” the Swiss Bankers Association told the Guardian. “We are transparent, there is nothing to hide in Switzerland.”

Switzerland’s almost 90-year-old banking secrecy law, however, remains in force – and was recently broadened. The Tax Justice Network estimates that countries around the world collectively lose $21bn (£15.4bn) each year in tax revenues because of Switzerland. Many of those countries will be poorer nations that have not signed up to the CRS data exchange.

More than 90 countries, most of which are in the developing world, remain in the dark when their wealthy taxpayers hide their money in Swiss accounts.

This inequity in the system was cited by the whistleblower behind the leaked data, who said the CRS system “imposes a disproportionate financial and infrastructural burden on developing nations, perpetuating their exclusion from the system in the foreseeable future”.

“This situation enables corruption and starves developing countries of much-needed tax revenue. These countries are the ones that therefore suffer most from Switzerland’s reverse-Robin-Hood stunt,” they said.

“I am aware that having an offshore Swiss bank account does not necessarily imply tax evasion or any other financial crime,” they said. “However, it is likely that a significant number of these accounts were opened with the sole purpose of hiding their holder’s wealth from fiscal institutions and/or avoiding the payment of taxes on capital gains.”

Mr Lee’s biggest potential headache is an investigation into allegedly corrupt land deals in Seongnam, a middle-class suburb of Seoul, while he was its mayor. He denies any involvement and has survived a parliamentary audit into the matter.

Two officials who were indicted on corruption charges in the case committed suicide in December. That reduces the chances that the full tale will ever come to light.

The opposition portrays him as a gangster, playing up alleged links to organised crime and berating him for defending men who had killed their partners when he was a lawyer.

prosecutors are investigating claims that, as chief prosecutor, Mr Yoon abetted an underling who allegedly helped the PPP file criminal complaints against Minjoo party lawmakers in the run-up to elections in 2020 (he denies the allegations).

Mr Yoon’s family is an additional liability. His mother-in-law has received a three-year prison sentence for medical fraud. His wife, Kim Keon-hee, has admitted that she forged most of her CV when applying for jobs as an art curator.

Many popular TikTok videos of the invasion — including of Ukrainians livestreaming from their bunkers — offer real accounts of the action, according to researchers who study the platform. But other videos have been impossible to authenticate and substantiate. Some simply appear to be exploiting the interest in the invasion for views, the researchers said.

The clip was then used in many TikTok videos, some of which included a note stating that all 13 soldiers had died. Ukrainian officials later said in a Facebook post that the men were alive and had been taken prisoner, but the TikTok videos have not been corrected.

“People trust it. The result is that a lot of people are seeing false information about Ukraine and believing it.”

TikTok and other social media platforms are also under pressure from U.S. lawmakers and Ukrainian officials to curb Russian misinformation about the war, especially from state-backed media outlets such as Russia Today and Sputnik.

For years, TikTok largely escaped sustained scrutiny about its content. Unlike Facebook, which has been around since 2004, and YouTube, which was founded in 2005, TikTok only became widely used in the past five years.

The app has navigated some controversies in the past. It has faced questions over harmful fads that appeared to originate on its platform, as well as whether it allows underage users and adequately protects their privacy.

That includes TikTok’s algorithm for its “For You” page, which suggests videos based on what people have previously seen, liked or shared. Viewing one video with misinformation likely leads to more videos with misinformation being shown, Ms. Richards said.

But audio can be misused and taken out of context, Ms. Richards said.

“Video is the hardest format to moderate for all platforms,” said Alex Stamos, the director of the Stanford Internet Observatory and a former head of security at Facebook. “When combined with the fact that TikTok’s algorithm is the primary factor for what content a user sees, as opposed to friendships or follows on the big U.S. platforms, this makes TikTok a uniquely potent platform for viral propaganda.”

“I feel like lately, the videos I’m seeing are designed to get me riled up, or to emotionally manipulate me,” she said. “I get worried so now, sometimes, I find myself Googling something or checking the comments to see if it is real before I trust it.”

“I guess I don’t really know what war looks like,” she said. “But we go to TikTok to learn about everything, so it makes sense we would trust it about this too.”

The invasion of Ukraine marks the end, definitively, of Russia’s postwar era.

During the 77 years since World War II, Russia was regarded — no matter what other perceptions it carried — as the country that helped to save humanity from the greatest evil the world has ever known. Russia was the heroic country that defeated fascism, even if that victory forced 45 years of Communism on half of Europe.

Not anymore. Russia is now the nation that unleashed a new evil, and unlike the old one, it’s armed with nuclear weapons.

The primary responsibility for this evil lies squarely at the feet of Mr. Putin and his entourage.

for those who opposed the regime, in ways big and small, the responsibility is also ours to bear. How did it happen? What did we do wrong? How do we prevent this from happening again

Responsibility is the key.

responsibility was what we lacked

Russia is a very individualistic society, in which people, to quote the cultural historian Andrei Zorin, live with a “Leave me alone” mind-set. We like to isolate ourselves from one another, from the state, from the world.

This allowed many of us to build vibrant, hopeful, energetic lives against a grim backdrop of arrests and prison. But in the process, we became insular and lost sight of everyone else’s interests.

We must now put aside our individual concerns and accept our common responsibility for the war. Such an act is, first and foremost, a moral necessity.

it could also be the first step toward a new Russian nation — a nation that could talk to the world in a language other than wars and threats, a nation that others will learn not to fear.

The harsher one criminalized deliberately spreading “false information” about the military, interpreted as anything outside the official version of events.

With the first criminal cases only now coming to trial, it remains unclear how harshly judges — generally prone to toe the Kremlin line — will treat defendants.

“It is impossible to keep silent,” Mr. Novashov said, while noting ruefully that people around town had mostly reacted to his case with indifference. He added: “People have been taught that nothing is going to change, so the less you know, the better you sleep.”

Russians have been prosecuted for wearing workout clothes and even nail polish in the blue and yellow colors of the Ukrainian flag, lawyers said.

The swelling case list across Russia indicates that prosecutors realized that Moscow wanted results, lawyers said. “There is a feeling that there is a directive to push the cases to the court as soon as possible,” Mr. Chikov said. “Everyone immediately understood that this was of the highest political priority.”

The financial cost, while vast, is impossible to calculate. In late December, Russia’s Communications Ministry reported that 10 percent of the country’s IT workers had left in 2022 and not returned.

those remaining in the depleted political opposition also faced a choice this year: prison or exile. Most chose exile. Activists and journalists are now clustered in cities such as Berlin and the capitals of Lithuania, Latvia and Georgia.

“This exodus is a terrible blow for Russia,” said Tamara Eidelman, a Russian historian who moved to Portugal after the invasion. “The layer that could have changed something in the country has now been washed away.”

the influx of Russians into countries such as Kazakhstan and Kyrgyzstan, which have long sent immigrants to Russia, set off political tremors, straining ties between Moscow and the other former Soviet states. Real estate prices in those countries have shot up, causing tensions with local populations.

For many Russians choosing to flee, Armenia was a rare easy option. It is one of five ex-Soviet countries that allow Russians to enter with just a national ID — making it a popular destination for former soldiers, political activists and others needing a quick escape.

Given the shared religion and use of language, Russians typically do not face animosity or social stigma in Armenia. Obtaining residency permits is also straightforward, and living costs are lower than in the European Union.

Yerevan has attracted thousands of IT workers, young creatives and working-class people, including families with children, from across Russia. They have established new schools, bars, cafes and robust support networks.

n the courtyard of the “Free School” for Russian children, established in April, Maxim, a construction company manager, was waiting for his 8-year-old son, Timofey. The school started with 40 students in an apartment. Now, there are nearly 200 in a multistory building in the city center.

“I did not want to be a murderer in this criminal war,” said Andrei, who is being identified by his first name for safety reasons

Like the White Russian emigres of the Bolshevik era and the post-Soviet immigrants of the 1990s, many of those leaving Russia because of the war in Ukraine are probably gone for good.

The family has adapted seamlessly to Yerevan. Everyone around them speaks Russian. Maxim works remotely on projects in Russia. Timofey likes his school and is learning Armenian. Maxim said he is sure the family will not return to Russia.

Tanya Raspopova, 26, arrived in Yerevan last March, with her husband but without a plan, overwhelmed and frightened.Then she heard that another emigre was seeking partners to set up a bar, a space where Russian expats could come together, and she wanted to help. Tuf, named after the pink volcanic rock common throughout Yerevan, opened its doors within a month.

They started with a neon-lit bar and kitchen on the ground floor, which soon expanded into a small courtyard. Then they opened up a second floor, then a third. Upstairs there is now a recording studio, a clothing boutique and a tattoo parlor. On a Wednesday night in January, the place was packed with young Russians and Armenians singing karaoke, drinking cocktails and playing ping-pong. “We have since created such a big community, a big family,” Raspopova said. “Tuf is our new home.”

Thousands have chosen the UAE, which did not join Western sanctions and still has direct flights to Moscow, as their new home. Russians enjoy visa-free travel for 90 days, and it is relatively easy to get a national ID, through business or investment, for a longer stay.

The high cost of living means there are no activists or journalists. Dubai is a haven, and the go-to playground, for Russian tech founders, billionaires under sanctions, unpenalized millionaires, celebrities, and influencers.

Shortly after the invasion, conversations in Moscow’s affluent Patriarch Ponds neighborhood turned to the best Dubai real estate deals, said Natalia Arkhangelskaya, who writes for Antiglyanets, a snarky and influential Telegram blog focused on Russia’s elite. A year later, Russians have ousted Brits and Indians as Dubai’s top real estate buyers, Russian-owned yachts dock at the marina, and private jets zigzag between Dubai and Moscow.

Russians can still buy apartments, open bank accounts and snag designer leather goods they previously shopped for in France.

The UAE’s embrace of foreign business has lured a stream of Russian IT workers seeking to cut ties with Russia and stay linked to global markets. Start-ups seek financing from state-supported accelerators. Larger firms pursue clients to replace those lost to sanctions.

About a dozen people arrived to discuss opportunities in India, which has maintained ties with Russia despite the war. Most expressed bitterness about the Kremlin’s politics and a longing for Moscow when it was an aspiring global hub.

“The most important thing for me is to be able to develop international projects and to integrate my kids into a global community, so they grow up in a free environment,”

Andrei works as a delivery driver and shares a modest room with two other men in a shelter set up by Kovcheg, a support organization for Russian emigrants. “Before the war, I never followed politics, but after the invasion, I started reading about everything,” Andrei said. “I feel so ashamed about what Russia has done.”

“Every extra month leads people to get used to a different country,” she said. “They get a job there, their children go to school, they begin to speak a different language. The longer the war lasts — the longer the dictatorship in the country continues — the fewer people will return.”

the expats could become “a repository of relevant skills for a better, freer, modern Russia.” For now, though, Rojansky said, the outflow sends a clear message.

“In a properly functioning education system, that’s giving them really robust messaging about what it means to be a man, they would have antibodies to fight off the sick messaging that Tate is giving. All they see is the guy who’s got a Bugatti and joking about telling women to make him a sandwich.

“When teachers try to explain why Tate isn’t someone to look up to, the teenage boys ask them, ‘Well, what colour is your Bugatti?’

“The premise needs to be attacked directly, which is that ‘no, money isn’t the main index of masculinity’. Otherwise, we would all just be looking up to gangsters and criminals.”

Knowland, who teaches English and has forged a career as an online tutor, was sacked in 2020 after refusing to take down a video he made for his students called The Patriarchy Paradox, which repeated claims that women would revert to a primitive life without men.

Knowland believes the issues he was seeking to address in the lecture, which is still on his YouTube channel and has had 255,000 views, have only increased since his sacking.

The Teaching Regulation Agency (TRA) decided to take no action against Knowland after an inquiry. Eton College has previously said that the ruling did not undermine its decision to dismiss him.

The school reported the lecture to the TRA, which considered charges of undermining tolerance and failing to safeguard students but closed the case with no further action. In a statement, the school said: “This does not mean that Mr Knowland did nothing wrong or that Eton was not entitled to dismiss him.”

He added: “I think the most interesting part about the lecture and what resonated with my supporters was my stress on chivalry and the idea that a man’s strength should be put to the service of the weak and his family.

“Chivalry is the thing that we’re missing today and it’s become deformed and turned into machismo, which is masculinity without any sense of humility or meekness. I think this is what we need to return to. Some of the problems that Tate is addressing, things like men should be assertive, men should be competitive, men should be strong, etcetera, chivalry agrees with.

“But chivalry says, ‘Why do they need to be those things? Because it’s to serve the weak, not themselves.”

Knowland, 37, believes that Tate — who rose to infamy last year after videos of his diatribes led to him becoming the world’s most googled person — has tapped into a “malaise” among young men caused by the teaching of boys in schools.

As an example, last month Scotland had to pause movement of transgender prisoners after a row over whether a transgender female rapist should be imprisoned with biological women.