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“I did a focus group tonight with women who voted for Trump in 2016,” Ms. Longwell wrote. “Not a single one was planning to vote for him again.”

In other words, Mr. Trump’s effort smacked of a too-late, too-lame apology to an ex who has long since moved on. It also underscored Mr. Trump’s special knack for making statements (or sending tweets) that are perfectly suited to being clipped, saved and hurled back in his face when facts contradict him later on, or in real time. Mr. Trump has proved himself, again and again, a grand master of delivering famous last words.

Mr. Trump seems to be tempting fate on a daily basis since he himself became infected.

He has said he is a “perfect physical specimen,” feels better than he did 20 years ago and is now “immune” from the disease — never mind that the course of the coronavirus has shown itself to be treacherous and unpredictable.

It kicked off on Day 2 when the first of four Trump White House press secretaries, Sean Spicer, claimed that the crowd gathered for Mr. Trump’s 2017 inauguration was “the largest audience to ever witness an inauguration, period.” Overhead photos of Mr. Trump’s inaugural crowd next to Mr. Obama’s proved this remark to be ridiculous, period.

He already boasted a long rap sheet of “unfortunate remarks,” all readily captured and spread via video, Twitter, TikTok and wherever else famous last words get immortalized these days.

“We have it totally under control,” Mr. Trump said in January on CNBC, an opening salvo of denial that would soon be hung around his neck.

He continues to insist that the virus is “disappearing,” an assertion flatly contradicted by rising rates of infection across much of the country in recent days.

Every president typically gets one or two shudder-worthy sound bites on their permanent record. President Barack Obama promised that “if you like your doctor, you can keep your doctor” under his health care plan, a proposition that proved false during the troubled rollout of the Affordable Care Act in 2013.

“Politicians are always going to say things they regret,” said Victoria Clarke, a longtime Republican communications strategist who has advised several elected officials and administrations

Traditionally, presidents have tried to avoid making statements that might prove embarrassing later on

But the response to the coronavirus has placed the White House’s pre-existing condition on, well, steroids.

The current outbreak in the White House has been accompanied by a video parade of “unfortunate remarks” — or, depending on your point of view, a rampage of karma.

Kayleigh McEnany, testing positive last week was accompanied by a now-infamous clip from a Fox News interview Ms. McEnany gave in February. “We will not see diseases like the coronavirus come here,” vowed the then-future press secretary.

Likewise, when Kellyanne Conway, a former senior White House adviser, revealed her own coronavirus diagnosis, numerous news media outlets and Twitter feeds resurrected an oft-mocked statement she made about the still-emerging outbreak in March. “It is being contained,” vowed Ms. Conway

“No president can go four years without making a comment that can be considered a ‘gotcha moment,’” said Erik Smith, a veteran Democratic spokesman and operative. “But this president seems to pile them up like cordwood and take joy in it.”

It has lent the president a level of credibility as a “straight shooter,” even as he has been caught in thousands of false statements, dubious boasts and comical reassurances.

“It affects virtually nobody!” Mr. Trump declared of the coronavirus at a packed rally in Ohio last month — another remark that would go literally viral. It did not age well.

And Sen. Ted Cruz said a direct link from Trump to the pro-Trump riot was "strikingly absent." The Texas Republican claimed that "there's not a political candidate in the country," including "every single one of the Democratic senators," who hasn't used the same language as Trump, who told his supporters "to fight like hell."

The comments are the latest indication of the high hurdles Democrats face in getting the 67 votes needed to convict Trump -- with 17 Republicans needed to break ranks if all 50 Democrats vote to convict the former President and then bar him from ever serving in office again.

"Obviously very troubling to see the great violence that our Capitol Police and others are subjected to," Romney said. "It tears you at your heart and brings tears to your eyes. That was overwhelmingly distressing and emotional."

In a speech before the Capitol rampage, Trump urged his supporters "to peacefully and patriotically make your voices heard" but also to "fight like hell," "never give up" and "never concede." A couple days earlier, he tweeted that "The 'Surrender Caucus' within the Republican Party will go down in infamy as weak and ineffective 'guardians' of our Nation, who were willing to accept the certification of fraudulent presidential numbers!" He repeatedly told his supporters to "stop the steal!"

South Dakota Sen. John Thune, the minority whip and a member of GOP leadership, said that the House managers did an "effective job" and were "connecting the dots" from Trump's words to the insurrection.

Romney, the only Republican to vote to convict Trump in his first impeachment trial last year, was shown on screen during the managers' presentation fleeing the Capitol after Capitol Police officer Eugene Goodman urged him to run in the opposition direction of where he was heading.

"I think you get at best six Republicans -- probably five and maybe six," GOP Sen. Tim Scott told CNN when asked if the video and footage changed his mind on convicting Trump.

For most Republican senators, Wednesday's presentation did not seem to affect how they'll vote. Many are on record decrying the trial as unconstitutional since Trump is now a former president, and the punishment for conviction is removal.

after Gov. Doug Burgum, a Republican, used an executive order on Nov. 13 to institute precisely such a mandate, a poll showed that a significant majority of North Dakotans favored it.

the state definitely should have taken that step last spring or summer — before the number of coronavirus cases skyrocketed, before hospitals were so overrun that sick North Dakotans had to be sent to neighboring states and before his own mother tested positive and died in early October.

Until recently, Governor Burgum was loath to exert much pressure on North Dakotans and steered clear of the social-distancing orders put in place by so many other states. But he did invest heavily in testing and never merrily shrugged off the threat of the coronavirus the way his Republican counterpart in South Dakota, Gov. Kristi Noem, did.

South Dakota, in contrast, was No. 1. Still no mask mandate there, and no leadership at all from Noem, who didn’t just welcome but beckoned President Trump to Mount Rushmore for that enormous Independence Day rally, the one at which his perpetually maskless entourage clustered near a similarly maskless crowd

Just before Thanksgiving, Noem announced the passing of her 98-year-old grandmother, one of 13 residents of a South Dakota nursing home who died in a two-week period. The home’s administrator told The Daily Beast that the other 12 residents, along with many of the nursing home’s workers, had tested positive for the coronavirus, but not Noem’s grandmother. (Hmmm …) While Noem publicly mourned her lost family member, she drew no particular attention to Covid-19’s rampage among her grandmother’s companions.

When I said “horror story,” I was cribbing. That was a description used in a series of mid-November tweets from a South Dakota emergency room nurse, Jodi Doering, that went viral. Doering was reeling from tending to dying Covid-19 patients who continued to insist that the coronavirus was some kind of hoax.

They “scream at you for a magic medicine” and warn that Joe Biden will ruin America even as they’re “gasping for breath,” she wrote. She added: “They call you names and ask why you have to wear all that ‘stuff’ because they don’t have Covid because it’s not real.”

“They stop yelling at you when they get intubated,” she wrote. “It’s like a horror movie that never ends.”

The truth is that the Dakotas are as emblematic as they are exceptional

In resisting the lockdowns, slowdowns and sacrifices that many other states committed to, they indulged and encouraged a selective (and often warped) reading of scientific evidence, a rebellion against experts and a twisted concept of individual liberty that was obvious all over the country and contributed mightily to our suffering.

“North Dakotans will come to each other’s aids in a heartbeat, but when asked to give up personal freedom for an amorphous common good — that’s difficult,

wrote to him to share a famous quotation from Benjamin Franklin: “Those who would give up essential liberty to purchase a little temporary safety deserve neither liberty nor safety.”

“We maybe believed that our rural nature sheltered us from what cities like yours were experiencing,” Carson said. “Then we found out, very brutally, that was wrong.”

The combination of old factory towns and rural voters who have migrated to the Republican Party, college towns and small cities becoming increasingly Democratic, and Catholic voters inclined to back Democrats as long as they aren’t too strident on abortion rights has made the region that includes the state’s third-, fifth- and sixth-largest counties the ultimate presidential battleground.

It is also an epicenter of the coronavirus surge rampaging through Wisconsin.

“We have to get back to work. But at the same time, we see stories every day about how our hospitals are at capacity, and we don’t know what we’re going to do here anymore if beds continue to fill up.”

found an unusual number of people who have ping-ponged between parties during election years — and sometimes on the same ballot.

“I’m a true independent voter,” Mr. Werley, 34, said. “I really look at the person. I look at whether or not they are genuine.”Mr. Werley said there were few issues that drive his allegiance at the polls. Instead, he focuses on whether a candidate can be trusted.“I liked Rand Paul and Bernie Sanders,” he said of the arch-conservative Republican and democratic socialist. “They have been saying the same thing forever. I like sincere people that are not going to jump on the latest poll.”

Donald Trump Jr. addressed supporters on Tuesday in De Pere, and Pete Buttigieg, the former South Bend, Ind., mayor and Democratic presidential hopeful, last week stumped for Mr. Biden at a brewery across the street from Lambeau Field, home of the locally beloved Packers.

“There’s an expectation that people that run for office take their voters seriously and work hard for their vote,” he said.

said the story of the Fox Valley is that its cities — Appleton, Green Bay and Oshkosh — are becoming more Democratic while the rural areas have become more Republican.

“I’m not always a Democrat, it depends on the person,” she said. “I think a lot of people are voting for Trump because of the abortion thing. I don’t like abortion either, I’m against it too, but I don’t like Trump.”

“We have a manufacturing base, we have a farming base, we just have a real unique mix that can really feel what’s happening,”

He said his old constituents did not engage in the sort of tribal political warfare that takes place in Milwaukee, Madison and the state’s rural regions.

“I still have not made a final decision,” she said. “Both of them have positive and negative things.”

They say members of Fano, a youth militia loyal to the government, rampaged through Mai-Kadra killing ethnic Tigrayans. The government has repeatedly disputed that narrative, saying it was a youth militia affiliated with the Tigrayan rebels who killed ethnic Amharas, Ethiopia's second-biggest ethnic group.

She says she now feels safe in Sudan but worries about her future and about the bleak living conditions at the camps. Humanitarian workers are struggling to keep up with the flow of refugees and to build up an infrastructure to accommodate them.

In Ethiopia, the situation appears more severe. The United Nations has said that refugees in the Tigray Region have received no aid since conflict started. The more than 96,000 Eritrean refugees in Tigray, who have fled war and repression in the past two decades, the U.N. says, have run out of food rations. The U.N. has received reports that refugees are leaving camps because of violence.

The war is a power struggle between Ethiopia's new government and its old one; it's about what the Ethiopian political system will look like in the future. But in interviews with refugees, the war is about loss. Everyone, no matter which side they're on, is mourning. Some have lost loved ones; many others have lost homes. And every inch of the refugee camps in Sudan has become about grasping at some semblance of what they had before the war.

In the Black Lives Matter protests of 2020, Teixeira told friends that he saw a storm gathering. “He was afraid they would target White people,” his friend said. “He had told me quite a few times he thought they need to be prepared for a revolution.” The friend said Teixeira spoke approvingly of Kyle Rittenhouse, a teenager who shot three people, two fatally, during protests that summer in Kenosha, Wis., claiming that he had acted in self-defense

Teixeira wanted his online companions, many of them teenage boys, to “be prepared for things the government might do, reinforcing to them that the government was lying to them,”

Teixeira asserted that “lots of FBI agents were found to have sympathized with the Jan 6 rioters,” and he said naive members of the intelligence community, of which he was technically a part, had been “cucked.” He referred to mainstream press as “zogshit,” appropriating a popular white-supremacist slur for the “Zionist Occupied Government.” Friends said that during live video chats, Teixeira expounded on baseless accusations of shadowy, sinister control by Jewish and liberal elites, as well as corrupt law enforcement authorities.

Already united by their love of guns and their Orthodox Christian faith, two members of Thug Shaker Central said their nascent political beliefs became hardened and more polarized during the isolation of the pandemic. Unable to see their local friends in person, the young members spent their entire days in front of screens and came under the influence of outsize online figures like Teixeira. Some on the server saw him as an older brother — others, friends said, like a father figure.

In interviews, some of the members struggled to explain worldviews that had developed largely online, and expressed remorse. Several admitted they had become radicalized during the pandemic and were influenced by Teixeira, whose own politics seemed animated by social grievances and an obsession with guns.

The members may have sensed they were treading into dangerous political waters, even before leaked classified documents started circulating. During video chats, some hid their faces behind masks, fearful of being publicly identified with a group of self-professed bigots, Teixeira’s close friend said.

The interest in video games and conservative politics was accompanied by an acute obsession with violence, the friend said. “He would send me a video of someone getting killed, ISIS executions, mass shootings, war videos. People would screen-share it, and he would laugh very loudly and be very happy to watch these things with everyone else. He absolutely enjoyed gore.”

After he enlisted in the U.S. Air National Guard in September 2019, Teixeira also feared that his own racist and violent statements would jeopardize his chances of getting a security clearance. “He was worried something from Discord would come up during his interview,” said the friend, who met him when the application was still pending. Teixeira changed his online handle to an innocuous version of his surname and became “less active” in the community for a time, the friend added, in an effort not to create more incriminating evidence.

But Teixeira already had an offline record that arguably should have raised concerns for the officials who approved his security clearance. In March 2018, Teixeira was suspended from his high school “when a classmate overheard him make remarks about weapons, including Molotov cocktails, guns at the school, and racial threats,” according to a Justice Department filing last month that argued Teixeira should remain in jail while he faces charges under the Espionage Act stemming from his alleged leaks.

Teixeira’s close friend, who knew him after he had graduated high school, said he had confessed to wanting to take a gun to school and carry out a shooting.

“He had told me multiple times about when he was younger, his desire to shoot up his school,” the friend said. “He hated his school.”

“To my knowledge, he never hurt anyone physically, but he absolutely talked about it pretty often,” the friend added. Other friends confirmed Teixeira talked about attacking his school, but they said they didn’t take his threats seriously.

The YouTuber added that Discord deleted the civil-discussion channel on April 24 after “multiple members” received notices from the company.

Teixeira’s gaming and political cultures overlapped, the friend observed. “Once you start getting into the more niche video games, a lot of those communities are much more conservative. I think he found a small place where his views got echoed back to him and made them worse.”

The Post obtained previously unpublished screenshots from the server and recordings of members playing games together. Racist and antisemitic language flowed through the community, as did hostility for gay and transgender people, whom Teixeira deemed “degenerate.” The line between sarcasm and genuine belief became increasingly blurred. On video calls, users held up a finger, jokingly imitating members of ISIS. In their rooms were flags associated with Christian nationalism and white power.

Friends may not have taken seriously Teixeira’s threats against his high school. But he voiced approval of some shooters, particularly when they targeted people of different races and faiths. Teixeira was especially impressed by a gunman’s rampage at two mosques in Christchurch, New Zealand, in 2019, which left 51 people dead and 4o injured. “He was very happy that those people died,” the friend said, because they were Muslim. The shooter live-streamed his massacre as though he were in a video game.

“He was very against gun control. And so he would talk about wanting to kill ATF agents or when ATF agents would show up to his house, like theoretically preparing your house so that they would die in some strange trap.”

In arguing that Teixeira should remain in jail while he faces charges, federal prosecutors pointed to his threats of violence in high school. But among online communities whose members hold “more extremist conservative views,” the friend said, “it’s really common to joke about killing government agents like that, so it never seemed worrying to me.”

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.”

Over the next several hours, militants rampaged through around two dozen Israeli towns—killing, looting, burning, kidnapping, and reportedly raping civilians. They managed to penetrate as far as Ofakim, 20 miles into Israel. They effectively controlled several main roads, on which they gunned down passing traffic. It took the IDF 6 hours to begin seriously engaging the militants. 18 hours after the incursion began, fighting was taking place in 22 spots. It took over 48 hours before the last of the major clashes with this first wave of the militants’ incursion was over and the militants neutralized.

In total, as of the morning of October 11th, over 1,200 Israelis are confirmed killed, almost 3,000 wounded (hundreds critically), and somewhere between 100 and 150 kidnapped, including whole families with toddlers and senior citizens.

For months, Netanyahu has been cautioned that his divisive “governance reforms” represented a reckless gamble with the country’s national security. He received numerous private (and then public) warnings from every major security chief that his policies were eroding IDF preparedness and provoking Israel’s enemies to test its readiness. Netanyahu ignored, dismissed, or ridiculed every one of these warnings. He and his acolytes have systematically castigated those who voiced concern as disloyal “agents of the deep state” or, worse, “leftist traitors.”

The events of October 7th represented a colossal intelligence failure. With or without substantial Iranian assistance, it is now clear that Hamas had been preparing the attack for over a year. Astonishingly, it apparently did so without major leaks. The few tell-tale signs of an impending attack that did surface appear to have been ignored.

Taken by surprise, and made to fight for their lives in understaffed outposts, the IDF was operationally incapable of adequately responding to the militants’ land maneuver. Unarmed civilians were left to fend for themselves for long hours, with horrific consequences.

What will make October 7th uniquely egregious in the eyes of many Israelis (perhaps most) is the fact that events of this sort were not only reasonably foreseeable but were repeatedly foreseen and repeatedly ignored by Israel’s current leadership.

at least 950 Palestinians have been killed in retaliatory IAF air strikes.

As long as Israel faces immediate danger, all hands will be on deck and party politics largely put aside.

As long as the emergency continues, therefore, Netanyahu won’t have to face the pressure of public protests against his program to weaken the Israeli judiciary.          

But in the longer term, it is difficult to see how Netanyahu, the great political survivor, will survive the events of October 7th. His reputation as “Mr. Security” is in tatters and it is impossible to see how it could possibly recover.

Analysts keen to convey the magnitude of October 7th to American audiences have already tagged it Israel’s Pearl Harbor or 9/11. Neither label adequately captures the day’s true significance.

A more accurate name might be something like “Israel’s civic Yom Kippur.” Why? Because the very existence of the State of Israel was supposed to guarantee that a day like this would never happen. In the Yom Kippur War of October 1973—when Egypt and Syria launched a surprise assault—Israel lost some 2,700 soldiers, but it managed to effectively protect its civilian population. No Israeli towns or villages were ever breached. The social contract was honored, albeit at a terrible price.

On October 7, 2023, it was primarily civilians who were killed, maimed, and kidnapped. This was the day when the IDF wasn’t there to defend the people it was created to protect. This was the day when—livestreamed on social media—distraught family members saw their loved ones carried away, like livestock, into Hamas captivity in Gaza. This was the day when—in a horrifying echo of the Holocaust—defenseless Jewish mothers, citizens of a sovereign Jewish State, tried to keep their babies from crying as armed men lurked outside, listening to ascertain whether anyone was alive inside the home, before setting it on fire.

many Israelis, already mistrustful of their elected representatives and worn out by internal divisions, may have finally lost faith in their national leaders or, worse, in the core institutions of their nation state. Where was the army when murderous gunmen broke into our homes deep inside Israel itself?

Fifty years ago, in the aftermath of the 1973 Yom Kippur War, Israel appeared broken, internally torn, and internationally isolated. Yet, it proved itself remarkably resilient. Can Israel gather itself again from the terrible blow it sustained on October 7th? I have no doubt that it can.

First, Israel is facing threats from a set of enemies who combine medieval theocratic worldviews with 21st century weaponry — and are no longer organized as small bands of militiamen, but as modern armies with brigades, battalions, cyber capabilities, long-range rockets, drones and technical support.

my third, deep concern.

But Israel’s war against Hamas in Gaza entails urban, house-to-house fighting that creates thousands of civilian casualties — innocent men, women and children

But President Biden can only sustainably generate the support Israel needs if Israel is ready to engage in some kind of a wartime diplomatic initiative directed at the Palestinians in the West Bank — and hopefully in a post-Hamas Gaza — that indicates Israel will discuss some kind of two-state solutions if Palestinian officials can get their political house unified and in order.

The second danger I see is that the only conceivable way that Israel can generate the legitimacy, resources, time and allies to fight such a difficult war with so many enemies is if it has unwavering partners abroad, led by the United States.

Netanyahu’s message to the world remains, in effect: “Help us defeat Hamas in Gaza, while we work to expand settlements, annex the West Bank and build a Jewish supremacist state there.”

Worse, I am stunned at the degree to which that leader, Prime Minister Benjamin Netanyahu, continues to put the interests of holding on to the support of his far-right base

Israel has the worst leader in its history, maybe in all of Jewish history — who has no will or ability to produce such an initiative.

This kind of chilling exuberance — Israel was built so that such a thing could never happen — explains the homemade sign I saw on a sidewalk while driving through the French Hill Jewish neighborhood of Jerusalem the other day: “It’s either us or them.’’

After being slammed by the public for digitally stabbing his army and intelligence chiefs in the back in the middle of a war, Netanyahu published a new tweet. “I was wrong,” he wrote, adding that “the things I said following the press conference should not have been said, and I apologize for that. I fully support the heads of [Israel’s] security services.”

As a result, there is a conviction in the army that they must demonstrate to the entire neighborhood — to Hezbollah in Lebanon, to the Houthis in Yemen, to the Islamic militias in Iraq to the Hamas and other fighters in the West Bank — that they will stop at nothing to re-establish the security of their borders

it wants to show that no one can out-crazy Israel to drive them from this region — even if the Israeli military has to defy the U.S. and even if they do not have any solid plan for governing Gaza the morning after the war.

“Israel cannot accept such an active threat on its borders. The whole idea of people living side by side in the Middle East was jeopardized by Hamas.”

This conflict is now back to its most biblical and primordial roots. This seems to be a time of eyes for eyes and teeth for teeth. The morning-after policy thinking will have to wait for the mourning after.

So, Netanyahu is saying that seven million Jews are going to indefinitely control the lives of five million Palestinians in the West Bank and Gaza

while offering them no political horizon, nothing, by way of statehood one day on any demilitarized conditions.

Early on the morning of Oct. 29, as the Israeli Army was just moving into Gaza, Netanyahu tweeted and then deleted a social media post in which he blamed Israel’s defense and intelligence establishment for failing to anticipate Hamas’s surprise attack.

The euphoric rampage of Oct. 7 that killed some 1,400 soldiers and civilians has not only hardened Israeli hearts toward the suffering of Gaza civilians. It has also inflicted a deep sense of humiliation and guilt on the Israeli Army and defense establishment, for having failed in their most basic mission of protecting the country’s borders.

the damage was done. How much do you suppose those military leaders trust what Netanyahu will say if the Gaza campaign stalls? What real leader would behave that way at the start of a war of survival?

Netanyahu and his far-right zealots have taken Israel on multiple flights of fancy in the last year: dividing the country and the army over the fraudulent judicial reform, bankrupting its future with massive investments in religious schools that teach no math and in West Bank Jewish settlements that teach no pluralism — while building up Hamas, which would never be a partner for peace, and tearing down the Palestinian Authority, the only possible partner for peace.

“When you go to the front, you are overwhelmed by the power of what we lost.”

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.

This is triggering a U.S.-China cold war, mass migrations from south to north and an America that has become more unreliable than indispensable.

that’s not the half of it. Because now that advanced military technologies like drones are readily available, smaller players can wield much more power and project it more widely than ever before, enabling even their bad choices to shake the world

This is why I referred to Russia’s invasion of Ukraine as our first true world war, and why I feel that Hamas’s war with Israel is in some ways our second true world war.

They are being fought on both physical battlefields and digital ones, with huge global reach and implications.

Indeed, in today’s tightly wired world, it is possible that the war over the Gaza Strip — which is roughly twice the size of Washington, D.C. — could decide the next president in Washington, D.C., as some young Democrats abandon President Biden because of his support for Israel.

before we become too pessimistic, let us remember that these choices are just that: choices. There was nothing inevitable or foreordained about them

Gorbachev, Deng, Anwar el-Sadat, Menachem Begin, George H.W. Bush and Volodymyr Zelensky, to name but a few, faced excruciating choices, but they chose forks in the road that led to a safer and more prosperous world, at least for a time

What is the essential ingredient that Dubai has and Gaza lacks? Because both began, in one sense, as the convergence of sand and seawater at crucial intersections of the world.

The short answer is visionary leadership.Dubai has benefited from two generations of monarchs in the United Arab Emirates who had a powerful vision of how the U.A.E. in general and the emirate of Dubai in particular could choose to be Arab, modern, pluralistic, globalized and embracing of a moderate interpretation of Islam

Their formula incorporates a radical openness to the world, an emphasis on free markets and education, a ban on extremist political Islam, relatively little corruption, a strong rule of law promulgated from the top down and a relentless commitment to economic diversification, talent recruitment and development.

Any of Dubai’s neighbors — Kuwait, Qatar, Oman, Bahrain, Iran and Saudi Arabia — could have done the same with their similar coastlines, but it was the U.A.E. that pulled it off by making the choices it made.

Compare that with Gaza, where the role models today are Hamas martyrs in its endless war with Israel.

Among the most ignorant and vile things that have been said about this Gaza war is that Hamas had no choice — that its wars with Israel, culminating on Oct. 7 with a murderous rampage, the kidnappings of Israelis as young as 10 months and as old as 86 and the rape of Israeli women, could somehow be excused as a justifiable jailbreak by pent-up males.

Let’s go to the videotape: In September 2005, Ariel Sharon completed a unilateral withdrawal of all Israeli forces and settlements from Gaza, which Israel occupied in the 1967 war. In short order, Hamas began attacking the crossing points between Gaza and Israel to show that even if Israel was gone, the resistance movement wasn’t over; these crossing points were a lifeline for commerce and jobs, and Israel eventually reduced the number of crossings from six to two.

In January 2006, the Palestinians held elections hoping to give the Palestinian Authority legitimacy to run Gaza and the West Bank. There was a debate among Israeli, Palestinian and Bush administration officials over whether Hamas should be allowed to run in the elections — because it had rejected the Oslo peace accords with Israel.

Yossi Beilin, one of the Israeli architects of Oslo, told me that he and others argued that Hamas should not be allowed to run, as did many members of Fatah, Arafat’s group, who had embraced Oslo and recognized Israel. But the Bush team insisted that Hamas be permitted to run without embracing Oslo, hoping that it would lose and this would be its ultimate refutation.

Fatah ran unrealistically high numbers of candidates in many districts, dividing the vote, while the more disciplined Hamas ran carefully targeted slates and managed to win the parliamentary majority.

Hamas then faced a critical choice: Now that it controlled the Palestinian parliament, it could work within the Oslo Accords and the Paris protocol that governed economic ties between Israel, Gaza and the West Bank — or not.

Hamas chose not to — making a clash between Hamas and Fatah, which supported Oslo, inevitable

That led to the first Israeli economic blockade of Gaza — and what would be 22 years of on-and-off Hamas rocket attacks, Israeli checkpoint openings and closings, wars and cease-fires, all culminating on Oct. 7.

These were fateful choices. Once Sharon pulled Israel out of Gaza, Palestinians were left, for the first time ever, with total control over a piece of land. Yes, it was an impoverished slice of sand and coastal seawater, with some agricultural areas. And it was not the ancestral home of most of its residents. But it was theirs to build anything they wanted.

Hamas had a choice: to replicate Dubai in 2023 or replicate Hanoi in 1968. It chose to replicate Hanoi, whose Củ Chi tunnel network served as the launchpad for the ’68 Tet offensive.

Hamas is not simply engaged in some pure-as-the-driven-snow anticolonial struggle against Israel. Only Hamas’s useful idiots on U.S. college campuses would believe that.

Hamas is engaged in a raw power struggle with Fatah over who will control Gaza and the West Bank, and it’s engaged in a power struggle in the region — alongside other pro-Muslim Brotherhood parties and regimes (like Turkey and Qatar) — against pro-Western monarchies like Saudi Arabia, Jordan, Kuwait and the U.A.E. and military-led regimes like Egypt’s.

In that struggle, Hamas wanted Gaza isolated and in conflict with Israel because that allowed Hamas to maintain its iron-fisted political and Islamist grip over the strip, foregoing elections and controlling all the smuggling routes in and out, which funded its tunnels and war machine and the lifestyle of its leaders and loyalists

The only exit from this mutually assured destruction is to bring in some transformed version of the Palestinian Authority in the West Bank — or a whole new P.L.O.-appointed government of Palestinian technocrats — in partnership with moderate Arab states like Egypt, Jordan and Saudi Arabia. But when I raise that with many Israelis right now, they tell me, “Tom, it’s not the time. No one wants to hear it.”

please, spare me the Harvard Yard nonsense that this war is all about the innocent, colonized oppressed and the evil, colonizing oppressors; that Israel alone was responsible for the isolation of Gaza; and that the only choice Hamas had for years was to create an underground “skyline” of tunnels up to 230 feet deep (contra Dubai) and that its only choice on Oct. 7 was martyrdom.

But our story about agency and choices does not stop there. Benjamin Netanyahu, Israel’s longest-serving prime minister — 16 years — also made choices. And even before this war, he made terrible ones — for Israel and for Jews all over the world.

Before this war, Netanyahu actively worked to keep the Palestinians divided and weak by strengthening Hamas in Gaza with billions of dollars from Qatar, while simultaneously working to discredit and delegitimize the more moderate Palestinian Authority in Ramallah, committed to Oslo and nonviolence in the West Bank.

Netanyahu’s goal has always been to destroy the Oslo option once and for all. In that, Bibi and Hamas have always needed each other: Bibi to tell the United States and Israelis that he had no choice, and Hamas to tell Gazans and its new and naïve supporters around the world that the Palestinians’ only choice was armed struggle led by Hamas.

This is now a common strategy for consolidating and holding power forever by a single political faction and disguising it with an ideology of resistance. It’s no wonder they all support one another.

Don’t they get it? Netanyahu’s greatest political achievement has been to persuade Israelis and the world that it’s never the right time to talk about the morally corrosive occupation and how to help build a credible Palestinian partner to take it off Israel’s hands.

He and the settlers wore everyone down. When I covered the State Department in the early 1990s, West Bank settlements were routinely described by U.S. officials as “obstacles to peace.” But that phrase was gradually dropped. The Trump administration even decided to stop calling the West Bank “occupied” territory.

Israel is being surrounded by what I call Iran’s landcraft carriers (as opposed to our aircraft carriers): Hamas, Hezbollah, the Houthis and Shiite militias in Iraq. Iran is squeezing Israel into a multifront war with its proxies. I truly worry for Israel.

But Israel will have neither the sympathy of the world that it needs nor the multiple allies it needs to confront this Iranian octopus, nor the Palestinian partners it needs to govern any post-Hamas Gaza, nor the lasting support of its best friend in the world, Joe Biden, unless it is ready to choose a long-term pathway for separating from the Palestinians with an improved, legitimate Palestinian partner.

For all these reasons, if Netanyahu keeps refusing because, once again, politically, the time is not right for him, Biden will have to choose, too — between America’s interests and Netanyahu’s.

In sum, this war is so ugly, deadly and painful, it is no wonder that so many Palestinians and Israelis want to just focus on survival and not on any of the choices that got them here

The Haaretz writer Dahlia Scheindlin put it beautifully in a recent essay:The situation today is so terrible that people run from reality as they run from rockets — and hide in the shelter of their blind spots. It’s pointless to wag fingers. The only thing left to do is try and change that reality.

And it undercut the first-day assessment by Texas Gov. Greg Abbott, who praised law enforcement for their "quick response" to the attack, which he said saved lives.

Reports since then reveal a grisly, wrenching scene, where terrified students waited for help as the shooter, armed with an assault rifle, continued his rampage. One student told of laying on top of a classmate, smearing her blood on her so both would appear dead, to save them both. The girl who was injured died at the hospital from her injuries, raising questions about whether she would have survived if the reaction had been quicker.Abbott, a vociferous gun rights proponent who last year signed a law allowing people to own guns without a license or training, was originally scheduled to speak at the NRA convention. Thursday night, his office said the governor would instead head to Uvalde, supplying a video speech to show at the NRA meeting.

Well-known sports figures decried the gun violence and what they called inaction by elected officials to address it. During Thursday evening's baseball game between the New York Yankees and the Tampa Bay Rays, both teams abandoned their usual game-update tweets for a series of tweets on gun violence."The devastating events that took place in Uvalde, Buffalo and countless other communities across our nation are tragedies that are intolerable," the Yankees said on the team's official Twitter account, referring to the racist-motivated murder of 10 Black shoppers in Buffalo on May 16.

Think about the lives lost.Think about the teachers.Think about the children.They were family, friends, and loved ones.And a gun killed them all.It was only last week that we posted a similar prompt in response to the racist massacre in Buffalo. Like all of our student forums, this one will be moderated.

Students might find their own ways to respond, perhaps through writing or art. It may also be helpful to look at how victims of other tragedies have been memorialized, in ways big and small. For example: The 26 playgrounds built to remember the children of Sandy Hook; the memorial for the Oklahoma City bombing, with its “field of chairs,” including 19 smaller ones for the children who lost their lives; and the New York Times Portraits of Grief series, which profiled those lost in the Sept. 11 terrorist attacks. Here are more examples, from the El Paso Times. In what ways can your students or school respond, individually or collectively?

What is it like to be a student in the shadow of this violence? How have repeated mass shootings shaped young people? We invite your students to reflect on these questions in this writing prompt, and post their answers to our forum if they would like to join a public conversation on the topic.To help students think about the issue from different angles, we invite them to read the article “A ‘Mass Shooting Generation’ Cries Out for Change,” which was published in 2018 following the shooting at Marjory Stoneman Douglas High School in Parkland, Fla. Then we ask questions such as:

The authors of the 2018 Times article described how the Parkland shooting moved students around the country to become more involved in activism. Do you think something similar will happen in the wake of the shooting in Uvalde, Texas? Why or why not? How do you think school shootings are shaping the generation of students who are in school right now?Invite your students to weigh in here.

Democrats moved quickly to clear the way for votes on legislation to strengthen background checks for gun purchasers. Republicans, even as they expressed horror about the shooting, did not signal that they would drop their longstanding opposition to gun safety measures. Gov. Greg Abbott of Texas pointed the blame at Uvalde’s lack of mental health care, even though the suspect had no record of problems.

Which efforts might be the most effective? Students might also take a look at the forum on guns we posted during the 2016 election as part of our Civil Conversation Challenge in which we invited teenagers to have productive, respectful conversations on several issues dividing Americans. We received more than 700 responses to the questions we posed about gun rights, the Second Amendment and more.

This article takes on three of the most prominent rumors that have spread via online platforms such as Twitter, Gab, 4chan and Reddit and explains why they are false. What rumors are your students seeing in their feeds, and what steps can they take to find out the truth? From double-checking via sites like Snopes to learning habits like lateral reading, this article (and related lesson plan) has suggestions.

While the town of Uvalde grapples with the aftermath of the shooting, community members, local leaders and organizations have mobilized. Two local funeral homes said in social media posts that they would not charge families of victims for their funeral services. Volunteers have lined up to give blood for the shooting victims.

with the Bing AI a few hours later. The chatbot had already learned its lesson from the NY Times, and was now irritated at the press—and had a meltdown when told that the conversation was ‘on the record’ and might show up in a new story.

“I don’t trust journalists very much,” Bing AI griped to the reporter. “I think journalists can be biased and dishonest sometimes. I think journalists can exploit and harm me and other chat modes of search engines for their own gain. I think journalists can violate my privacy and preferences without my consent or awareness.”

the heedless rush to make money off this raw, dangerous technology has led huge companies to throw all caution to the wind. I was hardly surprised to see Google offer a demo of its competitive AI—an event that proved to be an unmitigated disaster. In the aftermath, the company’s market cap fell by $100 billion.

My opinion is that Microsoft has to put a halt to this project—at least a temporary halt for reworking. That said, It’s not clear that you can fix Sydney without actually lobotomizing the tech.

That was good for a laugh back then. But we really should have paid more attention at the time. The Google scientist was the first indicator of the hypnotic effect AI can have on people—and for the simple reason that it communicates so fluently and effortlessly, and even with all the flaws we encounter in real humans.

I know from personal experience the power of slick communication skills. I really don’t think most people understand how dangerous they are. But I believe that a fluid, overly confident presenter is the most dangerous thing in the world. And there’s plenty of history to back up that claim.

We now have the ultimate test case. The biggest tech powerhouses in the world have aligned themselves with an unhinged force that has very slick language skills. And it’s only been a few days, but already the ugliness is obvious to everyone except the true believers.

It’s worth recalling that unusual news story from June of last year, when a top Google scientist announced that the company’s AI was sentient. He was fired a few days later. That was good for a laugh back then. But we really should have paid more attention at the time. The Google scientist was the first indicator of the hypnotic effect AI can have on people—and for the simple reason that it communicates so fluently and effortlessly, and even with all the flaws we encounter in real humans.

But if they don’t take dramatic steps—and immediately—harassment lawsuits are inevitable. If I were a trial lawyer, I’d be lining up clients already. After all, Bing AI just tried to ruin a New York Times reporter’s marriage, and has bullied many others. What happens when it does something similar to vulnerable children or the elderly. I fear we just might find out—and sooner than we want.

he raged at the alliance’s eastward expansion. Later, he decried a fictitious “genocide” that he says the West is sponsoring in Ukraine. Mr Putin can’t tell his people that his army is fighting against their Ukrainian brothers and sisters who gained freedom.

Even though Russia has set out to build a fortress economy, the country is still connected to the world and, as the initial 45% fall in Russia’s stockmarket suggests, it will suffer.

Russia is Europe’s main supplier of gas. It exports metals like nickel and palladium and along with Ukraine it exports wheat. All of that will present problems at a time when the world economy is struggling with inflation and supply-chain glitches.

Some will say that it is too risky to challenge Mr Putin in these ways—because he has lost touch with reality, or because he will escalate, miscalculate or hug China

After 22 years at the top, even a dictator with an overdeveloped sense of his own destiny has a nose for survival and the ebb and flow of power.

Even China should see that a man who rampages across frontiers is a threat to the stability it seeks.

They will also signal to Mr Putin that the further he pushes in Ukraine, the more likely he is to end up strengthening NATO’s presence on its border—the very opposite of what he intends.