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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

From 2015 on, the iPhone images of bad or even terrible cop interactions — amplified by the woke MSM, supercharged by social media — gave an impression of police murderousness out of all proportion to the reality. That’s how so many “very liberal” whites came to believe that over a thousand unarmed black men were killed by cops each year, instead of around a dozen.

Musk’s Twitter now pumps out as many black-crime snuff films as pink-haired trans-teacher videos. It almost doesn’t matter what they say. It’s the impressions they leave — of ubiquitous black crime and of relentless student indoctrination. Each tribe is constantly having its lizard brain primed — not by words or arguments, but by the accumulation of images that operate at a sub-rational level. That’s now Musk’s business model.

And of course this is related to our political dysfunction. The tribalization of our allegiances has led to the dehumanization of our political opponents so that, yes, decency is close to extinct

It’s a bedrock civilizational value. It’s what sets us apart from barbarism. And without it, our level of political polarization is dangerously combustible. One of the first signs of looming social conflict is mutual dehumanization: see an image of your opponent suffering and revel in it. Kick someone when they’ve just been gunned down. Mock anti-vaxxers — even as they die in a hospital bed.

It does not help, of course, that the man now ahead in the race to be president in 2024 has lowered the bar of personal decency so far it scarcely scrapes the floor. From mocking the wounded in battle to reveling in an activist’s murder is a short journey. The fish rots from the head down.

I mention Orwell’s notion of common decency because he believed this simple personal virtue was related to Western freedom and resistance to totalitarianism. Decency is not exclusively Christian, and many American Christianists seem to show little interest in it these days. But there is something Christian in not gloating over or mocking the sick or the weak or the victims of terrible crime. Who wants to live in a world where cruelty is cool, and where someone’s human pain is just another’s tribal propaganda?

Some are incapable of hearing about the apocalyptic destruction in Gaza at this moment, which seems emotionally incompatible with the hell Israelis are experiencing now. Even hardcore leftwingers I know are fighting feelings of rage and revenge. Some will slide towards the right.

Netanyahu’s legacy is ruined for good. But it hardly matters; Hamas might have just pushed Israelis into a far darker place than Netanyahu himself ever dreamed of.

the authors argue that the first job of a strategic leader is to get the big ideas right. Those who have succeeded include Gerald Templer, who became Britain’s high commissioner for Malaya in 1952 and whose reference to winning “the hearts and minds of the people,”

“remains the most succinct explanation for how to win a counter-insurgency.”

By contrast, the nationalist forces in China, the French in Algeria and the Americans in Vietnam got the big ideas wrong and paid a steep price.

On the 2021 collapse of Afghanistan’s government troops, who had been so expensively trained and equipped under Presidents Bush, Obama, Trump and Biden, Mr. Petraeus remarks that “the troops were brave enough—the 66,000 dead Afghan soldiers killed during the war attest to that. But they fought for an often corrupt and incompetent government that never gained the trust and confidence of local communities, which had historically determined the balance of power within Afghanistan.”

Russia’s invasion of Ukraine in 2022 serves as the book’s case study on how badly Goliath can stumble against David

Elon Musk’s control of the Starlink satellite internet system, they note, gave him a unique veto power over Ukrainian operations in Crimea. “With individual tycoons such as Elon Musk, Mark Zuckerberg and Jeff Bezos wielding such extraordinary power,” the authors tell us, “wars of the future will have to take their influence into account.”

The final chapter teases out the contours of future conflicts. Artificial intelligence, strategic mineral monopolies and “hybrid wars”—where weapons include deepfake disinformation, political manipulation, proxy forces and cyberattacks—cap an incisive look at the next phase of warfare. “Hybrid warfare particularly appeals to China and Russia, since they are much more able to control the information their populaces receive than are their Western adversaries,”

. And with the line between limited and total wars growing fuzzier every year, the combatant of the next war might be a woman sitting at a drone desk, a computer geek hacking into a power grid or a robotics designer refining directed-energy weapons systems.

“Conflict” is, in some ways, an extension of Mr. Roberts’s thesis in “The Storm of War” (2009)—that dictatorships tend to crack under the stress of a sustained war against popular democracies. While autocracies enjoy some advantages at war’s outset—they are nimble and can achieve true strategic surprise, for instance—if the sucker punch doesn’t end the fight quickly, democracies, shocked into action, may bring to bear more motivated, more efficient and often larger forces to turn the tide.

Both men see modern military history as a succession of partnerships created to counter violent challenges from nationalists, terrorists and dictators.

Thanks to social-science research, we now know that children’s life chances are profoundly affected by their context—not only income and family circumstances but also their community—more so than by their genetic profile or the medical care they receive.

With this in mind, we created what we call the Index of Deep Disadvantage, which reflects two traditional measures of income (the poverty rate and the “deep poverty rate,” meaning those with incomes below half the poverty line), two markers of health (birth weight and life expectancy), and the rate of social mobility for children who grow up in low-income families. We used this index to rank the roughly 3,100 counties in the United States along with the 500 most populous cities.

Immediately, the rankings revealed a stark geographical pattern.

the most disadvantaged places on our index were primarily rural

Though some of these were majority white, most were majority Black or Hispanic.

these places resembled, well, colonies—internal colonies within the U.S.

Considerable poverty exists in Chicago, Los Angeles, and New York. But in our apples-to-apples comparison, none of those cities ranked among even the 600 most disadvantaged places in the nation

The only cities on that list were a relatively small number of industrial municipalities such as Cleveland, Detroit, and Rochester.

Those living in the 200 most disadvantaged places on our index were just as likely to have major difficulties paying for housing as those in America’s 500 largest cities.

The places that our index identified as the 200 most disadvantaged are concentrated in three regions—Appalachia, South Texas, and the southern Cotton Belt.

hese places share a history of intensive resource extraction and human exploitation not seen to the same degree elsewhere in the United States

In each place, this economic pattern emerged (or, in the case of the Cotton Belt, fully flourished) in the late 19th or early 20th century. In each place, one industry came to dominate the economy, a pattern that held, broadly, until the 1960s, when King Cotton, King Tobacco, King Coal, and South Texas agriculture, would bow to the twin forces of automation and global competition.

many places with large Native American populations ranked among the most disadvantaged in the nation

While visiting many of the nation’s most disadvantaged places, we set out to build on this work through historical research, ethnographic observations, and in-depth interviews.

For generations, the appearance of towns in South Texas followed a pattern of social hierarchy: sturdy wood-frame houses, paved streets, and enclosed sewers in the white neighborhoods; shacks, dirt roads, and privies in the Mexican parts of town. Forced to migrate to find work during the off-season, generations of Mexican American children lost their right to a decent education. Even today, adult-illiteracy rates in these places are among the highest in the nation.

in Leflore County, Mississippi, for example, Black residents told us that violence was the No. 1 problem they face. The rate of death due to interpersonal violence there was nearly four times the national average, and well above that of Cook County, Illinois, home to Chicago

Throughout these regions, we saw the same themes emerge again and again—unequal schooling, the collapse of social infrastructure, violence, entrenched public corruption, and structural racism embedded in government programs.

Overall, poverty rates in these places are very low, babies are born healthy, people live to a ripe old age, and a low-income child usually has a similar chance of making it into the middle class as any other kid.

er they were forcibly relocated onto land mostly inhospitable to human habit

hey have enjoyed the lowest rates of violent crime, income inequality, and public corruption in the nation. These counties are unusually rich in social capital: Residents are connected to one another through volunteerism, membership in civic organizations, and participation in other community activities.

Counties that rank among those of greatest advantage began as agricultural communities with modestly sized farms, many originally secured through the 1862 Homestead Act that made landownership widely available. Many of these places have built on this history of broad-based wealth by making significant investments in schools, which has contributed to high graduation and college enrollment rates over generations.

One cannot fully understand the benefits enjoyed in America’s most advantaged places without considering the historic (and ongoing) exploitation of migrant labor that has gone on in them, mostly drawn from the U.S. border regions.

these communities have been more successful than most in preventing poverty, promoting health, and ensuring a level playing field for their children.

The upper Midwest is also overwhelmingly white. When we examined the relationship between whiteness and rank on the index, we found that a higher percentage of white residents is a significant predictor of a place’s rank, which is not at all surprising when one considers that the good schools and the good jobs have long been bestowed liberally on whites while being denied to Hispanic and Black Americans.

What makes the communities that are most advantaged unique is their histories as places of broad-based wealth. How different would conditions be in other parts of the country had they followed a similar, equitable course?

The lesson is that people seem to thrive—not always in high salaries but in health and life chances—when inequality is low; when landownership is widespread; when social connection is high; and when corruption and violence are rare.

The social leveling that is characteristic of communities in the upper Midwest is more than just a quaint cultural feature. It is the foundation of a community’s well-being. Until these regions’ virtues are shared nationwide, poverty and disadvantage will continue to haunt America.

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.

For many years, the Civil War was remembered as a family quarrel among white Americans in which their Black countrymen played no significant role—a fiction reflected in the paucity of memorials indicating that enslaved men and women had been active agents in shaping the course of events. Lately, some historical erasures have begun to be remedied. For example, a memorial honoring Robert Smalls, the enslaved Civil War hero who famously sailed a Confederate vessel out of Charleston Harbor and turned it over to the Union navy, and later served five terms in the U.S. House of Representatives, is now on display in Charleston’s Waterfront Park.

White-supremacist Democrats viewed scalawags, who could be found in many parts of the South, as traitors to their race and region. The largest number were small farmers in up-country counties where slavery had not been a major presence before the Civil War—places such as the mountainous areas of western North Carolina and northern Alabama and Georgia. There, many white residents had opposed secession and more than a few had enlisted in the Union army

Even though supporting Reconstruction required them to overcome long-standing prejudices and forge a political alliance with Black voters, up-country scalawags saw Black male suffrage as the only way to prevent pro-Confederate plantation owners from regaining political power in the South

All scalawags were excoriated in the white southern press, but none as viciously as Longstreet.

The tragedy of the Middle East is that this is a clash of right versus right. That does not excuse Hamas’s massacre and savagery or Israel’s leveling of entire neighborhoods in Gaza, but underlying the conflict are certain legitimate aspirations that deserve to be fulfilled.

Israelis deserve their country, forged by refugees in the shadow of the Holocaust, and they have built a high-tech economy that largely empowers women and respects gay people, while giving its Palestinian citizens more rights than most Arab nations give their citizens

Likewise, Palestinians deserve a country, freedom and dignity — and they shouldn’t be subjected to collective punishment

A great majority of those killed have been women and children, according to Gaza’s Hamas-controlled Health Ministry, and one gauge of the ferocity and indiscriminate nature of some airstrikes is that more than 100 United Nations staffers have been killed, which the U.N. says is more than in any conflict since its founding

Perhaps that’s because, as an Israeli military spokesman put it early in the conflict, “the emphasis is on damage and not on accuracy.”

If there is a path forward toward peace — whether in two states or one state — it will begin with all of us moving beyond stereotypes. Israelis are not the same as Netanyahu, and Palestinians are not the same as Hamas.

That was Prime Minister Benjamin Netanyahu’s strategy, his way of avoiding a Palestinian state, and it worked for a time — the way a pressure cooker works, until it explodes.

The third myth is found on both sides of the conflict and is approximately: It’s too bad we have to engage in this bloodshed, but the people on the other side understand only violence.

Hamas indeed understands only violence, and it has been brutal to Israelis and Palestinians alike — but Hamas and Palestinians are not the same, just as violent settlers in the West Bank do not represent all Israelis.

so far, I’m afraid that the ferocity and lack of precision in Israel’s attack has fulfilled Hamas’s goal of escalating the Palestinian issue and changing the Middle East dynamic

In that sense, Hamas may be winning.

Five weeks into this war, I don’t see evidence that Israel’s military has degraded Hamas in a significant way, but it has killed vast numbers of civilians, put the Palestinian struggle on top of the global agenda, dissipated the initial torrent of sympathy for Israel, prompted people around the globe to march for Palestine, distracted attention from kidnapped Israelis and ruptured any possibility soon of Israel’s normalizing relations with Saudi Arabia.

three myths inflaming the debate

I’m exasperated by people whose hearts bleed for only one side, or who say about the toll on the other: “It’s tragic, but ….” No “buts.” Unless you believe in human rights for Jews and for Palestinians, you don’t actually believe in human rights.

Over much opposition from developing countries, the U.S. has insisted that the fund (technically named the Climate Impact and Response Fund) will be housed at the World Bank, where the U.S. holds a majority stake; every World Bank president has been a U.S. citizen. The U.S. also insisted that contributing to the fund not be obligatory. Sue Biniaz, the deputy special envoy for climate at the State Department, said earlier this year that she “violently opposes” arguments that developed countries have a legal obligation under the UN framework to pay into the fund.

The text agreed upon in Dubai on Thursday appears to strike a delicate balance: The fund will indeed be housed at the World Bank, at least for four years, but it will be run according to direction provided at the UN climate gatherings each year, and managed by a board where developed nations are designated fewer than half the seats.

That board’s decisions will supersede those of the World Bank “where appropriate.” Small island nations, which are threatened by extinction because of sea-level rise, will have dedicated seats. Countries that are not members of the World Bank will still be able to access the fund.

the U.S. remains adamant that the fund does not amount to compensation for past emissions, and it rejects any whiff of suggestions that it is liable for other countries’ climate damages.

Even the name “loss and damage,” with its implication of both harm and culpability, has been contentious among delegates

Several countries immediately announced their intended contribution to the fund. The United Arab Emirates and Germany each said they would give $100 million. The U.K. pledged more than$50 million, and Japan committed to $10 million. The U.S. said it would provide $17.5 million, a small number given its responsibility for the largest historical share of global emissions.

Total commitments came in on the order of hundreds of  millions, far shy of an earlier goal of $100 billion a year.

Other donations may continue to trickle in. But the sum is paltry considering researchers recently concluded that 55 climate-vulnerable countries have incurred $525 billion in climate-related losses from 2000 to 2019, depriving them of 20 percent of the wealth they would otherwise have

Still, it’s a big change in how climate catastrophe is treated by developed nations. For the first time, the countries most responsible for climate change are collectively, formally claiming some of that responsibility

One crucial unresolved variable is whether countries such as China and Saudi Arabia—still not treated as “developed” nations under the original UN climate framework—will acknowledge their now-outsize role in worsening climate change by contributing to the fund.

Another big question now will be whether the U.S. can get Congress to agree to payments to the fund, something congressional Republicans are likely to oppose.

Influence by oil and gas industry interests—arguably the entities truly responsible for driving climate change—now delays even public funding of global climate initiatives, he said. “The fossil-fuel industry has successfully convinced the world that loss and damage is something the taxpayer should pay for.” And yet, Whitehouse told me that the industry lobbies against efforts to use public funding this way, swaying Congress and therefore hobbling the U.S.’s ability to uphold even its meager contributions to international climate funding.

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.

One side of American politics considers the modern welfare state — a private-enterprise economy, but one in which society’s winners are taxed to pay for a social safety net — morally superior to the capitalism red in tooth and claw we had before the New Deal. It’s only right, this side believes, for the affluent to help the less fortunate.

This deep divide in American political morality — for that’s what it amounts to — is a relatively recent development. Commentators who pine for the days of civility and bipartisanship are, whether they realize it or not, pining for the days when the Republican Party accepted the legitimacy of the welfare state, and was even willing to contemplate expanding it.

we have, for the most part, managed to agree on certain ground rules in the abortion controversy: it’s acceptable to express your opinion and to criticize the other side, but it’s not acceptable either to engage in violence or to encourage others to do so. What we need now is an extension of those ground rules to the wider national debate.

When people talk about partisan differences, they often seem to be implying that these differences are petty, matters that could be resolved with a bit of good will. But what we’re talking about here is a fundamental disagreement about the proper role of government.

Today’s G.O.P. sees much of what the modern federal government does as illegitimate; today’s Democratic Party does not

This deep divide in American political morality — for that’s what it amounts to — is a relatively recent development.

There’s no middle ground between these views. One side saw health reform, with its subsidized extension of coverage to the uninsured, as fulfilling a moral imperative: wealthy nations, it believed, have an obligation to provide all their citizens with essential care

The other side saw the same reform as a moral outrage, an assault on the right of Americans to spend their money as they choose.

We need to have leaders of both parties — or Mr. Obama alone if necessary — declare that both violence and any language hinting at the acceptability of violence are out of bounds. We all want reconciliation, but the road to that goal begins with an agreement that our differences will be settled by the rule of law.

Nor can a university with a commitment to academic freedom prohibit all calls for political violence. That would require it to punish, say, students who express support for the invasion of Gaza knowing that it must result in the deaths of thousands of civilians. Thus Gay was correct in saying that students’ political slogans are not punishable by Harvard’s rules on harassment and bullying unless they cross over into intimidation, personal threats, or direct incitement of violence.

Gay was correct yet again in replying to Stefanik’s insistent demand, “What action has been taken against students who are harassing Jews on campus?” by noting that no action can be taken until an investigation has been completed. Harvard should not mete out summary justice like the Queen of Hearts in “Alice in Wonderland”: Sentence first, verdict afterward.

The real problem with Gay’s testimony was that she could not clearly and credibly invoke those principles because they either have never been explicitly adopted by Harvard or they have been flagrantly flouted in the past (as Stefanik was quick to point out)

Harvard has persecuted scholars who said there are two sexes, or who signed an amicus brief taking the conservative side in a Supreme Court deliberation. It has retracted acceptances from students who were outed by jealous peers for having used racist trash talk on social media when they were teens. Harvard’s subzero FIRE rating reveals many other punishments of politically incorrect peccadillos.

Institutional neutrality. A university does not need a foreign policy, and it does not need to issue pronouncements on the controversies and events of the day. It is a forum for debate, not a protagonist in debates. When a university takes a public stand, it either puts words in the mouths of faculty and students who can speak for themselves or unfairly pits them against their own employer.

In the wake of this debacle, the natural defense mechanism of a modern university is to expand the category of forbidden speech to include antisemitism (and as night follows day, Islamophobia). Bad idea

Deplorable speech should be refuted, not criminalized. Outlawing hate speech would only result in students calling anything they didn’t want to hear “hate speech.” Even the apparent no-brainer of prohibiting calls for genocide would backfire. Trans activists would say that opponents of transgender women in women’s sports were advocating genocide, and Palestinian activists would use the ban to keep Israeli officials from speaking on campus.

For universities to have a leg to stand on when they try to stand on principle, they must embark on a long-term plan to undo the damage they have inflicted on themselves. This requires five commitments.

Free speech. Universities should adopt a clear and conspicuous policy on academic freedom. It might start with the First Amendment, which binds public universities and which has been refined over the decades with carefully justified exceptions.

Since universities are institutions with a mission of research and education, they are also entitled to controls on speech that are necessary to fulfill that mission. These include standards of quality and relevance: You can’t teach anything you want at Harvard, just like you can’t publish anything you want in The Boston Globe. And it includes an environment conducive to learning.

So for the president of Harvard to suddenly come out as a born-again free-speech absolutist, disapproving of what genocidaires say but defending to the death their right to say it, struck onlookers as disingenuous or worse.

The events of this autumn also show that university pronouncements are an invitation to rancor and distraction. Inevitably there will be constituencies who feel a statement is too strong, too weak, too late, or wrongheaded.

Nonviolence.

Universities should not indulge acts of vandalism, trespassing, and extortion. Free speech does not include a heckler’s veto, which blocks the speech of others. These goon tactics also violate the deepest value of a university, which is that opinions are advanced by reason and persuasion, not by force

Viewpoint diversity. Universities have become intellectual and political monocultures. Seventy-seven percent of the professors in Harvard’s Faculty of Arts and Sciences describe themselves as liberal, and fewer than 3 percent as conservative. Many university programs have been monopolized by extreme ideologies, such as the conspiracy theory that the world’s problems are the deliberate designs of a white heterosexual male colonialist oppressor class.

Vast regions in the landscape of ideas are no-go zones, and dissenting ideas are greeted with incomprehension, outrage, and censorship.

The entrenchment of dogma is a hazard of policies that hire and promote on the say-so of faculty backed by peer evaluations. Though intended to protect departments from outside interference, the policies can devolve into a network of like-minded cronies conferring prestige on each other. Universities should incentivize departments to diversify their ideologies, and they should find ways of opening up their programs to sanity checks from the world outside.

Disempowering DEI. Many of the assaults on academic freedom (not to mention common sense) come from a burgeoning bureaucracy that calls itself diversity, equity, and inclusion while enforcing a uniformity of opinion, a hierarchy of victim groups, and the exclusion of freethinkers. Often hastily appointed by deans as expiation for some gaffe or outrage, these officers stealthily implement policies that were never approved in faculty deliberations or by university leaders willing to take responsibility for them.

An infamous example is the freshman training sessions that terrify students with warnings of all the ways they can be racist (such as asking, “Where are you from?”). Another is the mandatory diversity statements for job applicants, which purge the next generation of scholars of anyone who isn’t a woke ideologue or a skilled liar. And since overt bigotry is in fact rare in elite universities, bureaucrats whose job depends on rooting out instances of it are incentivized to hone their Rorschach skills to discern ever-more-subtle forms of “systemic” or “implicit” bias.

Universities should stanch the flood of DEI officials, expose their policies to the light of day, and repeal the ones that cannot be publicly justified.

A fivefold way of free speech, institutional neutrality, nonviolence, viewpoint diversity, and DEI disempowerment will not be a quick fix for universities. But it’s necessary to reverse their tanking credibility and better than the alternatives of firing the coach or deepening the hole they have dug for themselves.

First, few people are more eager to take advantage of free speech rights than people who possess deep moral convictions. When you watch a furious campus debate, the last thing you think is, “Watch the relativists fight.” The combatants possess burning convictions

Second, humility isn’t relativism, and even people who believe that absolute truth exists should possess enough humility to recognize they don’t know all that truth.

Third, prudent people know that they will not always rule. This is the most pragmatic case for free speech.

One of my favorite expressions of American pluralism comes from my friend Barry Corey, president of Biola University, an evangelical college in California. He advocates a life lived with a “firm center and soft edges.” The firm center is the “commitment to that which is true,” and for a Christian that means God’s truth. Soft edges, on the other hand, “means hospitality and kindness, especially toward those we don’t think like, or vote like, or believe like.”

American free speech doctrine represents a legal version of that marvelous moral rule. The First Amendment protects our firm center. It’s what ensures our ability to walk into the public square, express our convictions and challenge our nation’s moral and political norms. Does anyone for a moment think that Frederick Douglass, the great abolitionist, was a moral relativist? Yet he’s also the author of one of the most powerful arguments in support of free speech in American history.

At the same time, we protect the free speech of others and thereby manifest “hospitality and kindness.” We declare to our opponents that they are equal citizens of our Republic, possessing the same dignity and liberty that we possess ourselves.

That’s the key to making pluralism work. Enforced conformity is a recipe for violent conflict, regardless of whether the demand is made from the right, left or middle

The defense of liberty, meanwhile, makes diversity sustainable. It allows individuals and communities of differing convictions to flourish across those differences

Treating them all equally under the law isn’t relativism. It’s justice, and justice is a fundamental moral obligation of the state.

NIMROD NOVIK: The group that worked on it, called Commanders for Israel’s Security, it’s over 500 Israeli retired generals, as well as their equivalents from the Mossad, Shin Bet Security, National Security Council, the entire Israeli security establishment. And we formed a team. We felt that Israeli policy was far too reactive and far too conservative for the good of the country, national security, short and long-term.

We had not anticipated the trauma of Oct. 7, but we certainly anticipated things getting from bad to worse, unless Israel changes course.

we came up with a plan that suggested even though a two-state solution, as you said, is not on this side of the horizon, but given that eventually, it’s the only solution that we believe serves Israel’s security and well-being long-term, as a strong Jewish democracy, we mapped out what can and should be done in the coming two, three years to reverse the slide towards the disaster of a one-state solution.

NIMROD NOVIK: There were primarily two governing concepts, if you will, of the Israeli policy. Again, calling it policy is giving it more credit than deserved. Israeli government have been reluctant to determine the end game of our relationship with the Palestinians. Where do we want to see ourselves and them two years, five years, 50 years from now? No decision has been made since the Oslo era.

As a result, what we’ve seen was a policy based on insisting on separating the Gaza Strip, ruled by Hamas from the West Bank, ruled sort of by the Palestinian Authority. Separation was one principle

And the other one was dubbed status quo, even though it was an illusion, because nothing was static about it. As a matter of fact, creeping annexation has been accelerating under various governments.

The more territory was taken by settlements, the more extreme settlers were conducting violent raids into Palestinian civil populations. The more the Palestinian Authority, internally defective, becoming more and more authoritarian, more and more detached from its own constituents, less responsive, less capable of governance, losing control over large swaths of West Bank territory, forcing the I.D.F. to enter more and more

It was a slide into a state where the Palestinian Authority would cease to function as the promise of the nucleus of a Palestinian state.

If we look at it today, it’s already perhaps the municipal government of the city of Ramallah, rather than of the West Bank, and weakening the Palestinian Authority by choking it financially. By not allowing it to demonstrate to its people that it is the vehicle that will bring them one day to their aspiration of statehood, on the one hand, and making sure that Hamas controls Gaza, the two tracks spelled disaster.

So I must confess, we had not anticipated that the disaster will look the way it did on Oct. 7, but we certainly realized that the policy in Gaza of rounds of violence every year, every two years, every 18 months, and buying off relative tranquility by funding Hamas through the auspices of Qatar, allowing it to arm and rearm, the inherent contradictions in the policy were quite apparent

There’s a right-wing one-state solution. I think when you mentioned the finance minister, Bezalel Smotrich, I think if you read things he has written in the past, he is looking for a one-state solution. He wants to crush Palestinian dreams of statehood and repress Palestinians sufficiently that they stop believing they can ever have anything better and eventually content themselves to Israeli rule and live quietly within that in order to gain better lives.

NIMROD NOVIK: I’ll put it bluntly. I believe that a two-state solution is inevitable, not because we wish it and not because it’s nice, not because Palestinians deserve self-determination — which they do, but that’s not a historic imperative. I believe that the two-state solution is inevitable because these two people are not going to live happily ever after under one roof.

For that to happen, for the two people to stay in one state, one of two things have to happen. Either Israelis will agree to grant Palestinian equal rights in that one state and therefore become a minority, or at least, a slim majority in our own country, and that’s never going to happen. Israelis are not going to agree to be less than the overwhelming majority in our own country.

Or Palestinians will agree forever to forgo equal rights, which I suspect is as unreasonable expectation as the other. So we will separate.

NIMROD NOVIK: Civil separation with overall security control — continued security control until a two-state agreement ushers in alternative security arrangements, is a concept that basically suggests reversing the creeping annexation, which is no longer creeping. It’s now galloping.

So the idea is to start reversing the slide towards one-state reality in the opposite direction, of reducing the friction between the two populations, increasing the capacity of the P.A. to perform, while maintaining the overall security controlled by Israel until a deal is struck.

You often hear when you talk to people in Israel about different paths that could be taken. Well, we don’t have anybody to negotiate with. The Palestinian Authority doesn’t have credibility. Hamas wants our destruction

And a core premise of the report is that there are things Israel can do unilaterally, that it doesn’t need a partner to do things that will make the situation better from its perspective and create conditions maybe for deals in the future. So tell me what is in Israel’s power here. What would you actually recommend to do tangibly?

NIMROD NOVIK: It’s not a genetic deformation of the Palestinians that they cannot govern themselves. This is nonsense. We had a period after the second intifada, the years 2007, 2008, where the Palestinian Authority, there was a prime minister by the name of Salam Fayyad. First, he was finance minister, later on prime minister, who revitalized the Palestinian Authority in a dramatic way. The authority was on the rise. People were proud in it, its own population. They could have won elections at that point.