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Esper said that he thinks Turkey should be held accountable for alleged war crimes committed by Turkish-backed proxy forces against the Kurds in Syria, allegations that Esper said he assumes are accurate.

"I've seen the reports as well, we're trying to monitor them. They are horrible and if accurate and I assume that they are accurate, they would be war crimes," Esper said, adding, "I think all of those need to be followed up on. I think those responsible should be held accountable, in many cases it would be the government of Turkey

Such agreements would have made it less likely that videos involving the men became public. “Generally what settlements are about is getting peace,” Mr. Boies said

Donald Trump vowed that Iran would “never be allowed to have a nuclear weapon” as long as he’s president of the United States. Yet as he urged other world powers to abandon the nuclear deal that they and the Obama administration negotiated with Iran, and that Trump withdrew the U.S. from in 2018, he offered no details on his plan to obtain a better deal.

Iran has gradually cast off the shackles of the 2015 nuclear agreement following Trump’s decision to pull the United States out of the pact, though it is still cooperating with international inspectors and leaving itself space to return to compliance if the United States lifts sanctions against Tehran.

The Trump administration is now poised to face at least two simultaneous nuclear crises along with an escalating and unprecedented tripartite nuclear-arms race, all of which will threaten the miraculously perfect track record of nuclear deterrence since 1945. Even if there are no nuclear tests or exchanges in the year ahead, the systems, accords, and norms that have helped mitigate the risks of nuclear conflict are vanishing, ushering in a more hazardous era that the United States won’t be able to control.

The North Korean leader Kim Jong Un vowed over New Year’s to further advance his nuclear-weapons program, which is already likely sophisticated enough to threaten the whole world, after nuclear talks with the United States fell apart

Failing efforts to denuclearize North Korea and broker a better nuclear deal with Iran, coupled with concerns among U.S. allies about Trump’s commitment to providing for their security against these adversaries, have generated talk of Japan, South Korea, Australia, and Saudi Arabia exploring nuclear weapons of their own rather than relying on America’s nuclear deterrent.

Clashes between India and Pakistan in February 2019, sparked by an attack on Indian security forces by Pakistani militants in the disputed territory of Kashmir, didn’t go nuclear. But they did escalate to an Indian air strike on a terrorist training camp in Pakistan—an act the nuclear experts Nicholas Miller and Vipin Narang have described as “the first ever attack by a nuclear power against the undisputed sovereign territory of another nuclear power.” These were nuclear powers with growing arsenals, no less.

The number of nuclear weapons in the world, moreover, has dropped from more than 70,000 in 1986 to fewer than 14,000 today because of arms-control efforts. (That’s still enough, of course, to kill billions of people and envelop the world in a nuclear winter. When it comes to nuclear nonproliferation, progress is only heartening when expressed in relative terms.)

A combination of actors, from the left and the right, pushed for ever more public decisions to be made by highly educated technocratic elites living at a remove from the working class. Big corporations pushed for more decisions to be made through global trade agreements than national legislation. Ivy League liberals pushed for more critical decisions to be made by Harvard-trained jurists than prejudiced lawmakers.

“When the dust from the collapse cleared,” Lind writes, “the major institutions in which working-class people had found a voice on the basis of numbers — mass-membership parties, legislatures, trade unions and grass-roots religious and civic institutions — had been weakened or destroyed, leaving most of the nonelite population in Western countries with no voice in public affairs at all, except for shrieks of rage.”

For Lind, “the populist wave in politics on both sides of the Atlantic is a defensive reaction against the technocratic neoliberal revolution from above.” To put it this way is to ignore all the evidence that the wave was driven more by the desire to stay on top, culturally and racially, than to survive at the bottom

As Emma Green put it in The Atlantic, summing up the research: “Evidence suggests financially troubled voters in the white working class were more likely to prefer Clinton over Trump

Besides partisan affiliation, it was cultural anxiety — feeling like a stranger in America, supporting the deportation of immigrants and hesitating about educational investment — that best predicted support for Trump.”

Oligarchy is indeed a big problem. But it stands alongside a second major aspect of American life that Lind almost completely ignores: a racial and social changing of the guard

So eager is Lind to be sympathetic to populists that he begins to take their talking points at face value

“The New Class War” lacks the texture and earth and seduction of real portraiture.

The legislation's approval in the House came after Trump signed a sweeping coronavirus relief bill into law Sunday evening. That measure, which was negotiated on a bipartisan basis, provides for $600 in direct payments, but after a deal was brokered and passed out of Congress

"This proposal is a shot-gun approach," the South Dakota Republican said, adding, "If you really want to help people who need this the most at a time when we are running a $26 trillion debt borrowing every penny that we're making available to do this, we ought to sit down and figure out the most efficient, effective, targeted way possible. This absolutely does not do that."

Sanders this time tried to convince Republicans not to object by also calling for a vote on McConnell's alternative bill, which would combine increased direct payments with a repeal of the online liability protections known as Section 230 and the establishment of a commission to study voter fraud, for which there has been no evidence.

Hawley reminded senators that Trump backs $2,000 checks, expressing frustration it hasn't come up for a vote. "The President of the United States said that's the level he supported ... this is the number he has asked for .. and yet we can't even seem to get a vote on it."

"A mother in Virginia wrote: $2,000 means I can afford to feed my three kids. Now maybe we should give her a long lecture on macroeconomics and how well the stock market is doing,"

"These are working people. ... and all that they ask for, as I have said many times on this floor before, is a chance to get back up on their feet and be able to provide for their families, and I can't for the life of me understand why we cannot get so much as a vote on these bills," Hawley said.

Some Republicans, particularly those who were always critical of Mr. Trump, are adamant that his exile will reveal him to be more of a spent force than a power broker. The president’s political legacy, they say, is one of defeat and division.

“Trump is a political David Koresh,” said Billy Piper, a former chief of staff to the Senate majority leader, Mitch McConnell, referring to the cult leader who died with his followers during an F.B.I. siege in Waco, Texas. “He sees the end coming and wants to burn it all down and take as many with him as possible.”

Representative Tom Reed of New York, who has emerged as a leader of more moderate Republicans in the House, said Thursday that the party needed to begin “not worrying about base politics as much, and standing up to that base.” He argued that Republicans should pursue compromise legislation with Mr. Biden on issues like climate change, and forecast that a sizable number of Republicans would take that path.

If that means standing up to the base in order to achieve something, they’ll do it,” Mr. Reed predicted.

Mr. Reed warned his party that the Democrats would depict the G.O.P. as a dangerous party in 2022 if they did not rebut that charge.

“They’re going to, obviously, paint us with the backdrop of yesterday,” he said, alluding to the mob violence.

Ms. Kim, who is one of a cohort of Republican female and minority candidates who helped the party cut deeply into the Democratic majority in the last election, acknowledged that she would most likely face “some blowback from the base” for voting to certify Mr. Biden’s election. But she said that should not be a primary consideration as Republicans emerge from the Trump era.

The essential characteristics of capitalism only become evident with an increase in scale - in two quite separate contexts. One is the formation of joint-stock companies, in which investors pool their resources for a major commercial undertaking. The other, not evident until the Industrial Revolution, is the development of factories in which large numbers of workers are employed in a single private enterprise.  

Speculative trading enterprises in the Middle Ages are undertaken by individual merchants, operating in family groups or partnerships but acting essentially on their own behalf.

In the 16th century, with the expanding energies of the Atlantic kingdoms in a new era of ocean voyages, the situation changes. In long expeditions to distant and dangerous places, both the risk and the potential profit are greatly increased. A new system is called for.

A charter, granted by the crown, gives the merchants in a company the monopoly on trade with a specific region for a given number of years - together with strong legal powers to enforce order in distant places while carrying out its business.  

The first joint-stock enterprise established in Britain is the Muscovy Company, which receives its royal charter in 1555.

Even the Bank of England, when founded in 1694, is organized at first on joint-stock lines. The merchants whose funds provide the bank's initial loan to the government acquire thereby a share in the stock of the new company.

The most immediate way in which the Reformation aids the capitalist is by removing the stigma which the Catholic church has traditionally attached to money-lending - or usury, in the pejorative Biblical term.

Speculation is an intrinsic part of capitalism, since the capitalist must risk money in the hope of making more

The first coffee house in London opens in 1652. Soon much of England's business is being conducted in these congenial establishments where merchants can gather to strike their bargains over a cup of the newly fashionable liquid.

Shares in such companies can be bought and sold at Jonathan's coffee house. The brokers who arrange the deals here call themselves (from 1773) the Stock Exchange.

In short order, he has the entire town eating from his hand as he dispenses hard-earned wisdom and spins tall tales about his hometown of Riddle, Arkansas, which no one can seem to find on a map. His stories aren’t true, but they feel true. They’re not unlike what Trump, in The Art of the Deal, called “truthful hyperbole”: “an innocent form of exaggeration—and a very effective form of promotion.”

As Kazan wrote to Schulberg in 1956,This story is of love and betrayal between LR and the people of the country. He speaks for them and at first is their partisan. So they fall in love with him. They reward him with their love and then their esteem and dollars. These spoil him. He begins to despise them … This is the CENTRAL STORY, all the other stories are subordinate.

On his variety show he plays loud music, tells wild yarns, and generally rejoices in violating television’s, and society’s, rules of propriety. The network execs fear they’ve created a monster. But the viewers can’t get enough of his act.

A Face in the Crowd paints an unflattering portrait of the viewing public’s gullibility and distractibility, but it held out hope that the American people could be made to see through a figure like Lonesome Rhodes. Kazan recognized his mistake in retrospect. In the age of mass media, a skilled demagogue like Rhodes can rise to great heights and defy any easy moral arc as long as the public continues to sit back and enjoy the show

The problem, as diagnosed by The New York Times’ Bosley Crowther, was that audiences found Rhodes unbelievable. The public, he wrote, would never be snowed that easily—they would be “finished with him” before a real-life Rhodes could do nearly so much damage.

the two men intuited how susceptible the American public would be to this form of mass communication and the ways it could be used to corrupt the nation’s politics.

In the film, the reveal results in Rhodes’s downfall. As Kazan put it, “He is unmasked—irretrievably so—before the nation.” In real life, it’s not clear that demagogues are subject to the laws of physics. Trump’s infamous boast that he “could stand in the middle of Fifth Avenue and shoot somebody and I wouldn’t lose any voters”—while intended as a compliment to his loyal supporters—is not so different from calling them trained seals.

of course, Trump had his own hot-mic moment, the Access Hollywood tape, on which the candidate bragged about grabbing women by their genitals. Many observers, including on the Trump campaign, thought the tape would be the end of his candidacy—surely the public would react as the vox populi did in A Face in the Crowd: “Why, he’s a monster!” “We’ll fix you, jerk.” The Trump campaign took a momentary hit, but the crowd eventually moved on to other distractions and entertainments.

The writer and the director were convinced they had another hit on their hands. They didn’t. Critics shrugged, and the box office disappointed.

In a 1958 letter to Schulberg, Kazan wrote, “We conceived Face in the Crowd as a ‘warning to the American people.’ ” To that end, they made Lonesome Rhodes play the heavy and take the fall, letting the rest of us off the hook. “We should have been showing that LR was us.”

The danger we always have in this country is erasure.

Instead of that becoming the dominant conversation, the insurrection knocked the story of successful progressive organizing out of our political discussions, once again centering this toxic White supremacist identity and ideology.

Consider law enforcement's differential treatment of armed insurrectionists compared with demonstrators calling for racial equity and the end of police brutality. Take note of the race and class divisions at the heart of the rioters' discontent.

That kind of coverage means we have ended exactly where we started from, with this idea that this moment has been given to us by White, poor, rural people. Such stories erase complicity by upper-middle-class White people and reveal the tendency to turn up our noses at any nuanced portrayal of complicated issues of race, class and power that are actually at play here.

The reductive, monolithic hillbilly narrative sucks the life out of the work, the organizing spaces and even the imaginations of progressive people in Appalachia.

Another really big danger is when White people say, "This is not who we are." It is who we are.

When you talk about who profits, you also have to think about how this country glorifies work — particularly hard physical labor by White men

Some commentators have challenged the portrayal of rioters at the Capitol as "deplorables rising up from the muck of Rust Belt trailer parks" driven by economic anxiety.

All privileged people across the political spectrum profit from the economic anxiety myth, from energy CEOs — guys like Bob Murray — to the ecotourism industry and universities in the region by superficially distancing themselves from White supremacist ideology while also often preserving those same systems for their own benefit.

One of the dangers of these myths is that it allows the more genteel White toxicity to feel better about itself.

This masking is very dangerous and it worries me, because it erases the people who actually do most of the work in this country, while centering a very narrow, heteronormative view of masculinity.

The tendency to blame rural places comes because Appalachia isn't actually powerful. A state like West Virginia carries just five electoral college votes. The fact is that Appalachia and other rural places tell a story that is very pleasing to capitalism: That some people are willing to die for their work.

In this country, we seem to have a morbid need to find examples of people who happily sacrifice themselves for work

Practically speaking, we need to make sure the census is properly counted and make sure that rural progressive organizations are funded and have grant access.

The idea that we can flip a switch and be unified is absolutely ridiculous. That work is hard. We need a reorientation of perspective that helps us to see through the expeditious narratives that are so often sold to us.

“He’s willing to kill democracy. He is willing to kill any sense of real respect or trust in his government. He is willing to kill America’s international and global relationships. He is a destroyer.”

“He didn’t create hostility and division, but he incites it. He creates incentives for it to thrive. He has elevated and put people around him that do that as well.”

“Get tough Democrat Mayors and Governors,” Trump tweeted on Sunday, even as protesters gathered outside the White House for the third straight day. “These people are ANARCHISTS. Call in our National Guard NOW. The World is watching and laughing at you and Sleepy Joe. Is this what America wants? NO!!!”

Biden has billed the election as a battle for the soul of the nation – the potential to lurch deeper into disarray with a second Trump term, or to reset, rebuild and plot a new direction. The stakes keep getting higher by the day.

“The problem here is that we can focus this simply on Trump or we can also focus on all of those folks that have enabled Trump: the Republican leadership, the corporation that may make statements in support of this work but, on the other hand, do all sorts of things to prop up, support, donate to Donald Trump. You don’t get Trump and Trumpism without a whole host of institutions and individuals that support and enable him.”

Trump’s unconventional inaugural address in January 2017 is best remembered for a single phrase: “American carnage”. His entire presidency may be remembered for it too.

“Azeri armed forces are not violating the humanitarian ceasefire,” defence ministry spokesman Vagif Dargiahly said.

The flare-up of fighting is the worst since a 1991-94 war over Nagorno-Karabakh that killed about 30,000.

it is close to Azeri gas and oil pipelines to Europe, and Turkey and Russia risk being dragged in. Russia has a defence pact with Armenia, while Turkey is allied with Azerbaijan.

Turkey is not involved in the mediation, which has been led by France, Russia and the United States.

The conflict is also worsening the spread of COVID-19 across both countries,

Armenia’s new cases had doubled over the past 14 days as of Monday, while new infections were up approximately 80% over the past week in Azerbaijan,

Trump's been busy firing officials who admit anything counter to the election-fraud narrative

Trump's administration is:Further removing troops from Afghanistan and Iraq in the final days of Trump's time as President.Contemplating new terrorist designations in Yemen that could complicate efforts to broker peace. Rushing through authorization of a massive arms sale that could alter the balance of power in the Middle East.Planning a last-minute crackdown on China.Floating the idea of a last-minute military strike on Iran, according to The New York Times.Building a wall of sanctions that make it difficult for Biden to rejoin the Iran nuclear deal Trump scuttled.Sending Mike Pompeo on the first-ever official visit by a US secretary of state to an Israeli settlement.

Here's what expires in December without further action:Provisions to beef up unemployment insuranceA deferral on student loan payments A paid family leave provisionCoronavirus relief funding for states whose tax base has been decimatedAnd a moratorium on evictionsTrump could potentially address these items with executive orders if he were to focus on them. Regardless, the first major political fight of Biden's presidency is likely to be this standoff with either a narrowly Republican- or Democratic-controlled Senate.

But across the government Trump oversees -- with actions at the Pentagon, inaction on the economy and denialism about the pandemic -- the President and his allies are undercutting President-elect Joe Biden and harming the American people, even as none of them acknowledge that they're about to be replaced.

The most important of these various nails left under the couch cushions is Trump's steadfast refusal to accept the legitimacy of Biden's win, an ultimately futile bit of pique, since Biden will take the oath of office and Trump will no longer be President in January.

It's clear many of Trump's followers are all-in in their disbelief of the election results. If Republican orthodoxy is that Biden is not a real president, it will legitimize and even demand standing in the way of his efforts to govern in the next four years, and endanger the democratic process.

If Biden is to govern as a uniter, as he's promised, he'll first have to find a way to reach people being groomed to believe the counterfactual notion that he's an election thief.

Republicans will argue Trump was similarly set up for failure by sour Democrats, but that's a false equivalence, since Democrats from Barack Obama and Hillary Clinton on down acknowledged Trump's victory in real time.

That term from above -- bunker mentality -- is an interesting one for White House aides to anonymously self-apply. I've always associated it with Adolf Hitler's end, in the bunker, surrounded by sycophants -- rejecting facts in the face of certain defeat.

They have shown that winning -- even flattering Trump's fragile ego -- means more to them than the survival of our democracy.

brokered a deal to move the Port of Los Angeles toward 24/7 operations, joining Long Beach, which is already operating around the clock, and that they are encouraging states to accelerate the licensing of more truck drivers.

On Wednesday, the White House will host leaders from the Port of Los Angeles, the Port of Long Beach, and the International Longshore and Warehouse Union to discuss the difficulties at ports, as well as hold a round table with executives from Walmart, UPS and Home Depot.

Imports for the fourth quarter are on pace to be 4.7 percent higher than in the same period last year, which was also a record-breaking holiday season,

Companies are exacerbating the situation by rushing to obtain products and bidding up their own prices.

Administration officials acknowledged on Tuesday in a call with reporters that the $1.9 trillion economic aid package Mr. Biden signed into law in March had contributed to supply chain issues by boosting demand for goods, but said the law was the reason the U.S. recovery has outpaced those of other nations this year.

Consumer demand for exercise bikes, laptops, toys, patio furniture and other goods is booming, fueled by big savings amassed over the course of the pandemic.

The blockages stretch up and down supply chains, from foreign harbors to American rail yards and warehouses.

Home Depot, Costco and Walmart have taken to chartering their own ships to move products across the Pacific Ocean.

the average anchorage time had stretched to more than 11 days.

Companies that had been trying to avoid passing on higher costs to customers may find that they need to as higher costs become longer lived.

worsening supplier delivery times and conditions at ports suggested that product shortages would persist into mid- to late next year.

governments around the world could help to smooth some shortages and dampen some price increases, for example by encouraging workers to move into industries with labor shortages, like trucking

“But to some extent, they need to let markets do their work,” she said.

a Transportation Department official gathering information on what the administration could do to address the supply chain shortages had contacted his company. Flexport offered the administration suggestions on changing certain regulations and procedures to ease the blockages, but warned that the problem was a series of choke points “stacked one on top of the other.”

from the whole big picture, the supply capacity is really hard to change in a noteworthy way.”

The shortages have come as a shock for many American shoppers, who are used to buying a wide range of global goods with a single click, and seeing that same product on their doorstep within hours or days.

The political risk for the administration is that shortfalls, mostly a nuisance so far, turn into something more existential. Diapers are already in short supply. As aluminum shortages develop, packaging pharmaceuticals could become a problem,

slow deliveries could make for slim pickings this Christmas and Hanukkah.

Consumer price inflation probably climbed by 5.3 percent in the year through September, data from the Bureau of Labor Statistics is expected to show on Wednesday.

They often point out that much of the surge has been spurred by a jump in car prices, caused by a lack of computer chips that delayed vehicle production.

the pandemic has shut down factories and slowed production around the world. Port closures, shortages of shipping containers and truck drivers, and pileups in rail and ship yards have led to long transit times and unpredictable deliveries for a wide range of products

Tesla, for instance, had been hoping to reduce the cost of its electric vehicles and has struggled to do that amid the bottlenecks.

If demand slumps as households spend away government stimulus checks and other savings they stockpiled during the pandemic downturn, that could leave purveyors of couches and lawn furniture with fewer production backlogs and less pricing power down the road.

If buying stays strong, and shipping remains problematic, inflation could become more entrenched.

To get their own orders fulfilled, companies have placed bigger orders and offered to pay higher prices.

With most speaking on the assumption that their remarks would not become public, U.S. officials acknowledged that their warfighting strategies were fatally flawed and that Washington wasted enormous sums of money trying to remake Afghanistan into a modern nation.

The interviews also highlight the U.S. government’s botched attempts to curtail runaway corruption, build a competent Afghan army and police force, and put a dent in Afghanistan’s thriving opium trade.

Since 2001, the Defense Department, State Department and U.S. Agency for International Development have spent or appropriated between $934 billion and $978 billion

Those figures do not include money spent by other agencies such as the CIA and the Department of Veterans Affairs, which is responsible for medical care for wounded veterans.

Several of those interviewed described explicit and sustained efforts by the U.S. government to deliberately mislead the public. They said it was common at military headquarters in Kabul — and at the White House — to distort statistics to make it appear the United States was winning the war when that was not the case.

SIGAR departed from its usual mission of performing audits and launched a side venture. Titled “Lessons Learned,” the $11 million project was meant to diagnose policy failures in Afghanistan so the United States would not repeat the mistakes the next time it invaded a country or tried to rebuild a shattered one.

the reports, written in dense bureaucratic prose and focused on an alphabet soup of government initiatives, left out the harshest and most frank criticisms from the interviews.

“We found the stabilization strategy and the programs used to achieve it were not properly tailored to the Afghan context, and successes in stabilizing Afghan districts rarely lasted longer than the physical presence of coalition troops and civilians,” read the introduction to one report released in May 2018.

To augment the Lessons Learned interviews, The Post obtained hundreds of pages of previously classified memos about the Afghan war that were dictated by Defense Secretary Donald H. Rumsfeld between 2001 and 2006.

Together, the SIGAR interviews and the Rumsfeld memos pertaining to Afghanistan constitute a secret history of the war and an unsparing appraisal of 18 years of conflict.

With their forthright descriptions of how the United States became stuck in a faraway war, as well as the government's determination to conceal them from the public, the Lessons Learned interviews broadly resemble the Pentagon Papers, the Defense Department's top-secret history of the Vietnam War.

running throughout are torrents of criticism that refute the official narrative of the war, from its earliest days through the start of the Trump administration.

At the outset, for instance, the U.S. invasion of Afghanistan had a clear, stated objective — to retaliate against al-Qaeda and prevent a repeat of the Sept. 11, 2001, attacks.

Yet the interviews show that as the war dragged on, the goals and mission kept changing and a lack of faith in the U.S. strategy took root inside the Pentagon, the White House and the State Department.

Fundamental disagreements went unresolved. Some U.S. officials wanted to use the war to turn Afghanistan into a democracy. Others wanted to transform Afghan culture and elevate women’s rights. Still others wanted to reshape the regional balance of power among Pakistan, India, Iran and Russia.

The Lessons Learned interviews also reveal how U.S. military commanders struggled to articulate who they were fighting, let alone why.

Was al-Qaeda the enemy, or the Taliban? Was Pakistan a friend or an adversary? What about the Islamic State and the bewildering array of foreign jihadists, let alone the warlords on the CIA’s payroll? According to the documents, the U.S. government never settled on an answer.

As a result, in the field, U.S. troops often couldn’t tell friend from foe.

The United States has allocated more than $133 billion to build up Afghanistan — more than it spent, adjusted for inflation, to revive the whole of Western Europe with the Marshall Plan after World War II.

As commanders in chief, Bush, Obama and Trump all promised the public the same thing. They would avoid falling into the trap of "nation-building" in Afghanistan.

U.S. officials tried to create — from scratch — a democratic government in Kabul modeled after their own in Washington. It was a foreign concept to the Afghans, who were accustomed to tribalism, monarchism, communism and Islamic law.

During the peak of the fighting, from 2009 to 2012, U.S. lawmakers and military commanders believed the more they spent on schools, bridges, canals and other civil-works projects, the faster security would improve. Aid workers told government interviewers it was a colossal misjudgment, akin to pumping kerosene on a dying campfire just to keep the flame alive.

One unnamed executive with the U.S. Agency for International Development (USAID) guessed that 90 percent of what they spent was overkill: “We lost objectivity. We were given money, told to spend it and we did, without reason.”Lessons Learned interview | 10/7/2016Tap to view full document

The gusher of aid that Washington spent on Afghanistan also gave rise to historic levels of corruption.

In public, U.S. officials insisted they had no tolerance for graft. But in the Lessons Learned interviews, they admitted the U.S. government looked the other way while Afghan power brokers — allies of Washington — plundered with impunity.

Christopher Kolenda, an Army colonel who deployed to Afghanistan several times and advised three U.S. generals in charge of the war, said that the Afghan government led by President Hamid Karzai had “self-organized into a kleptocracy”Christopher Kolenda | Lessons Learned interview | 4/5/2016Tap to view full document by 2006 — and that U.S. officials failed to recognize the lethal threat it posed to their strategy.

By allowing corruption to fester, U.S. officials told interviewers, they helped destroy the popular legitimacy of the wobbly Afghan government they were fighting to prop up. With judges and police chiefs and bureaucrats extorting bribes, many Afghans soured on democracy and turned to the Taliban to enforce order.

None expressed confidence that the Afghan army and police could ever fend off, much less defeat, the Taliban on their own. More than 60,000 members of Afghan security forces have been killed, a casualty rate that U.S. commanders have called unsustainable.

In the Lessons Learned interviews, however, U.S. military trainers described the Afghan security forces as incompetent, unmotivated and rife with deserters. They also accused Afghan commanders of pocketing salaries — paid by U.S. taxpayers — for tens of thousands of “ghost soldiers.”

an army and national police force that can defend the country without foreign help.

Year after year, U.S. generals have said in public they are making steady progress on the central plank of their strategy: to train a robust Afgh

From the beginning, Washington never really figured out how to incorporate a war on drugs into its war against al-Qaeda. By 2006, U.S. officials feared that narco-traffickers had become stronger than the Afghan government and that money from the drug trade was powering the insurgency

throughout the Afghan war, documents show that U.S. military officials have resorted to an old tactic from Vietnam — manipulating public opinion. In news conferences and other public appearances, those in charge of the war have followed the same talking points for 18 years. No matter how the war is going — and especially when it is going badly — they emphasize how they are making progress.

Two months later, Marin Strmecki, a civilian adviser to Rumsfeld, gave the Pentagon chief a classified, 40-page report loaded with more bad news. It said “enormous popular discontent is building” against the Afghan government because of its corruption and incompetence. It also said that the Taliban was growing stronger, thanks to support from Pakistan, a U.S. ally.

Since then, U.S. generals have almost always preached that the war is progressing well, no matter the reality on the battlefield.

he Lessons Learned interviews contain numerous admissions that the government routinely touted statistics that officials knew were distorted, spurious or downright false

A person identified only as a senior National Security Council official said there was constant pressure from the Obama White House and Pentagon to produce figures to show the troop surge of 2009 to 2011 was working, despite hard evidence to the contrary.

Even when casualty counts and other figures looked bad, the senior NSC official said, the White House and Pentagon would spin them to the point of absurdity. Suicide bombings in Kabul were portrayed as a sign of the Taliban’s desperation, that the insurgents were too weak to engage in direct combat. Meanwhile, a rise in U.S. troop deaths was cited as proof that American forces were taking the fight to the enemy.

“And this went on and on for two reasons,” the senior NSC official said, “to make everyone involved look good, and to make it look like the troops and resources were having the kind of effect where removing them would cause the country to deteriorate.”

Ukraine is also receiving vital private-sector assistance, notably the delivery of Starlink internet terminals, which are helping maintain communications

All I can do is to apply history, as there is no model from political science or economics that can really help us here.

1. Do the Russians manage to take Kyiv in a matter of two, three, four weeks or never?

At least one military analyst I respect said late last week that the Russian invasion force has around two weeks left before serious logistical and supply problems force Putin seriously to the negotiating table.

On the other hand, Western media seem over-eager to cover news of Russian reverses, and insufficiently attentive to the harsh fact that the invaders continue to advance on more than one front.

A better analogy than the Winter War with Finland may be the Soviet invasion of Afghanistan that began in December 1979.

Economic warfare between 1914 and 1918 was not a substitute for sending British armies to fight on the European continent, just as it had not been in the Napoleonic Wars against France.

What I cannot tell is whether or not these weapons and other equipment will suffice to sustain Ukrainian resistance over the coming weeks.

But the Ukrainians have no real answers to higher-altitude bombardment and missile attacks.

2. Do the sanctions precipitate such a severe economic contraction in Russia that Putin cannot achieve victory?

I have heard it said that the breadth and depth of the sanctions imposed on Russia make them unprecedented. I disagree

recalls but does not quite match the sanctions that Britain and its allies imposed on Germany at the outbreak of World War

It seems there are seven distinct historical processes at work and it’s not clear which is going fastest.

Then, as now, it was possible for an increasingly authoritarian government to impose economic controls and divert resources away from civilian consumption to the war effort, while blaming the resulting deprivation on the enemy

We should remember that those measures did not defeat Germany, however, because — like Russia today — it had the resources to be self-sufficient

no one should forget that self-sufficiency is possible for Russia, albeit at the price of severe austerity, whether it is a choice or a consequence of war.

China is able to help Russia in ways that could mitigate the economic shock, just as for years it has helped Iran to circumvent U.S. sanctions by buying its oil.

Unlike Soviet citizens, who were accustomed to a state monopoly on communications, today’s Russians have come to rely as much as we do on Big Tech. Being cut off from the metaverse may prove a more psychologically painful deprivation than shortages of imported foods.

even a 35% quarterly decline in gross domestic product does not condemn a country to military defeat if its planes can still fly and its tanks still fire rounds.

3. Does the combination of military and economic crisis precipitate a palace coup against Putin?

4. Does the risk of downfall lead Putin to desperate measures (carrying out his nuclear threat)? 

The people with the power to arrest Putin are the people he counts on to execute his arrest orders: Nikolai Patrushev, the head of the Security Council and, like Putin, a long-serving KGB officer; Sergei Naryshkin, the head of foreign intelligence; and Alexander Bortnikov, who heads the Federal Security Service, the successor to the KGB.

6. Does the West’s attention deficit disorder kick in before any of this?

If Putin’s goal was to deter members of NATO from offering direct military assistance to Ukraine, it seemed to have some effect.

Russian casualties are being caused by Ukrainians using arms supplied by multiple NATO countries, including the U.S. and Turkey, but they are mostly crossing into Ukraine from Poland. Might Putin therefore strike a target in eastern Poland — Lublin, say, or Przemysl?

he is surely more likely to do so if believes the U.S. would not immediately retaliate in kind against a Russian target. A key lesson of this entire crisis has been that indications of weakness on the U.S. side, which I discussed here last week, have emboldened Putin.

5. Do the Chinese keep Putin afloat but on the condition that he agrees to a compromise peace that they offer to broker?

My guess is that the Chinese make no serious diplomatic move until they are convinced Putin’s invasion is thoroughly bogged down in Ukraine’s spring mud.

I would not bet the fate of Ukraine on Russian internal politics.

Remarkably, one U.S. legislator told me last week that he “couldn’t recall an issue more obsessively followed and more unifying among” his constituents.

The only real significance of Western public outrage at Putin’s actions is the political pressure it exerts on Biden and other leaders to take a tougher line with Russia.

7. What is the collateral damage?

History shows that wars (much more than pandemics) are the most common cause of jumps in inflation.

The best-known recent illustration is the way wars in 1973 (Yom Kippur) and 1979 (Iran-Iraq) contributed to the great inflation of the Seventies

these price spikes are not confined to oil and gas but involve a host of other commodities. The prospect of this year’s Ukrainian grain harvest being disrupted means a significant surge in food prices, with all kinds of consequences, especially in developing countries.

A tsunami of war has struck Ukraine. Whether the Russian tide flows or ebbs in the coming weeks will do much to determine the course of world history for the rest of our lives.

Nor can we ignore the risks that may be lurking within the international financial system.

This is the first big crisis of Cold War II, which is in many ways like a mirror image of Cold War I, with China the senior partner, Russia the junior, and a hot war in Eastern Europe rather than East Asia (it was Korea’s turn in 1950).

I do not know how the crisis will turn out, but I do know it will have profound consequences for the course of the superpower contest.

If the invasion of Ukraine ends in disaster for the heroic defenders of Kyiv and their comrades, another disaster may well follow — and it could occur as far away as Taiwan. Conversely, if there is justice in the world and the disaster befalls the architect of this war, that too will give birth to some fresh and unforeseeable event.

Add these seven imponderables together and you see how profoundly important the next few weeks will be.

The failure of the administration to signal that it would retaliate is of a piece with last year’s reports that Biden’s national security team was considering ruling out first use of nuclear weapons in its new national military strategy. Nuclear missiles cease to be a deterrent if one side is unwilling to use them.

Today, however, the boot is on the other foot. Not only is Putin intimidating NATO; he may have achieved something more, namely a tacit admission by the Biden administration that it would not necessarily retaliate with nuclear weapons if Russia used them.

Merkel’s successive governments also squeezed defense budgets while boosting welfare spending. Lt. Gen. Alfons Mais, commander of the army, posted an emotional article on his LinkedIn profile on the day of the invasion, lamenting that Germany’s once-mighty military had been hollowed out to such an extent that it would be all but unable to protect the country in the event of a Russian attack.

her refusal to stop buying energy from Putin after he seized Crimea from Ukraine in 2014—she instead worked to double gas imports from Russia—emboldened him to finish the job eight years later.

Joachim Gauck, who was president of Germany when Putin first invaded Ukraine in 2014, said Merkel’s decision to boost energy imports from Russia in the wake of Putin’s aggression was clearly a mistake. “Some people recognize their mistakes earlier, and some later,” he said.

Since leaving office, Merkel has defended the pipeline project as a purely commercial decision. She had to choose, she said, between importing cheap Russian gas or liquefied natural gas, which she said was a third more expensive.

After Russia’s invasion of Crimea in 2014, Anders Fogh Rasmussen, then NATO secretary general, warned her against making Germany more dependent on a rogue Putin, who had just occupied and annexed part of a European nation. For Putin, he said, the pipeline “had nothing to do with business or the economy—it was a geopolitical weapon.”

Officials who served under Merkel, including Schäuble and Frank-Walter Steinmeier (her former foreign minister and now Germany’s federal president), have apologized or expressed regret for their roles in these decisions. They believe that Merkel’s policies empowered Putin without setting boundaries to his imperial ambitions.

At an event last year, Merkel recalled that after annexing Crimea, Putin had told her that he wanted to destroy the European Union. But she still forged ahead with plans to build the Nord Stream 2 pipeline, linking Germany directly to Siberia’s natural gas fields, in the face of protests from the U.S. Merkel’s government also approved the sale of Germany’s largest gas storage facilities to Russia’s state-controlled gas giant Gazprom.

That mistake had its roots in another decision by Merkel: Her move to greatly accelerate Germany’s planned phasing out of nuclear energy in 2011, in response to the Fukushima disaster in Japan. The gap in energy supply created by this dramatic shift meant that Germany had to import more energy, and it had to do so as cheaply as possible.

Merkel’s role in shaping NATO policy toward Ukraine goes back to 2008, when she vetoed a push by the Bush administration to admit Ukraine and Georgia into the alliance, said Fiona Hill, a former National Security Council official and presidential adviser on Russia.

Merkel instead helped to broker NATO’s open but noncommittal invitation to Ukraine and Georgia, an outcome that Hill said was the “worst of all worlds” because it enraged Putin without giving the two countries any protection. Putin invaded Georgia in 2008 before marching into Ukraine.

After Putin first attacked Ukraine, Merkel led the effort to negotiate a quick settlement that disappointed Kyiv and imposed no substantial punishment on Russia for occupying its neighbor, Hill added. “No red lines were drawn for Putin,” she said. “Merkel took a calculated risk. It was a gambit, but ultimately it failed.”

Merkel still has supporters, and as Germany begins to grapple with her complicated legacy, many still hold a more nuanced view of her role in laying the groundwork for today’s crises

Kaeser, who now chairs the supervisory board of Siemens Energy, a listed subsidiary, agrees that Germany’s dependence on Russian natural gas grew under Merkel, but he says that there was—and is—no alternative for powering Europe’s industrial engine at a viable price.

“We didn’t expect that there would be war in Europe with the methods of the 20th century. This never featured in our thinking,” said Kaeser, who himself met Putin several times. He believes that Merkel’s Russia policy was justified. Even Germany’s new government has not found a sustainable and affordable replacement for Russian energy exports, he said, which could lead to deindustrialization.

Many defenders of Merkel say that she merely articulated a consensus. Making her country dependent on Washington for security, on Moscow for energy and on Beijing for trade (China became Germany’s biggest trade partner under her chancellorship) was what all of Germany’s political parties wanted at the time, said Constanze Stelzenmüller of the Brookings Institution.

“Without backing from the U.S.A., which was very restrained at the time, any tougher German reaction to the annexation of Crimea could hardly have been possible,” said Jürgen Osterhammer, a historian whose work on globalization and China has been cited by Merkel as an influence on her thinking.

In retirement, Merkel told the German news magazine Der Spiegel, she has watched “Munich,” a Netflix movie about Prime Minister Neville’s Chamberlain’s infamous negotiations with Hitler in the run-up to World War II. Though Chamberlain’s name has become synonymous with the delusions of appeasement, the film offers a more nuanced picture of the British leader as a realist statesman working to postpone the inevitable conflict. That reinterpretation appealed to Merkel, the magazine reported.

In April, Merkel was again asked on stage at a book fair whether she would not reconsider her refusal to admit having made some mistakes. “Frankly,” she responded, “I don’t know whether there would be satisfaction if I were to say something that I simply don’t think merely for the sake of admitting error.”

ne thing I’ve learned in my years of whining about Florida’s unsustainable trajectory in the climate era is that most Floridians don’t care.

especially if they’re newly retired to Florida. They’re here to enjoy the warm weather in a state with no income tax, not to build a better tomorrow for future generations.

Usually, it’s just nice. It’s certainly way nicer than Boston or Brooklyn, or Michigan or Minnesota, in the winter.

DeSantis has risen to national prominence behind a very Florida form of now-mine-more messaging, proclaiming this the “free state” of Florida, where you don’t have to worry about public-health scolds telling you to wear a mask or get a vaccine, or pointy-headed planners telling you where to build your house or when to water your lawn. He’s selling irresponsibility as a virtue. Worrying about consequences is for losers.

My insurer went bankrupt last month, one of six to go under in Florida this year, and the state took over my policy, as it surely did for thousands of Floridians who will now file claims. But the Republican leaders who have assumed for the past quarter-century that the feds will bail us out after the Big One were probably right. We’ve gotten too big to fail.

what the plan offered on paper is essentially what Putin — on the dangerous defensive after a raft of strategic miscalculations and mounting battlefield losses — is now trying to seize through sham referendums and illegal annexation. And Mariupol is shorthand for the horrors of his war, an occupied city in ruins after months of siege, its hulking steelworks spectral and silenced, countless citizens buried in mass graves.

Putin’s assault on Ukraine and his attack on American democracy have until now been treated largely as two distinct story lines.

Yet those two narratives came together that summer night at the Grand Havana Room. And the lesson of that meeting is that Putin’s American adventure might be best understood as advance payment for a geopolitical grail closer to home: a vassal Ukrainian state.

Even now, some influential voices in American politics, mostly but not entirely on the right, are suggesting that Ukraine make concessions of sovereignty similar to those contained in Kilimnik’s plan, which the nation’s leaders categorically reject.

This second draft of history emerges from a review of the hundreds of pages of documents produced by investigators for the special counsel, Robert S. Mueller III, and for the Republican-led Senate Select Committee on Intelligence; from impeachment-hearing transcripts and the recent crop of Russiagate memoirs; and from interviews with nearly 50 people in the United States and Ukraine, including four hourlong conversations with Manafort himself.

the persistent, surreptitious effort to bring the Mariupol plan to life. The plan was hardly the only effort to trade peace in Ukraine for concessions to Putin; many obstacles stood in its way. And its provenance remains unclear: Was it part of a Putin long game or an attempt by his ally, Yanukovych, to claw back power? Either way, the prosecutors who uncovered the plan would come to view it as potential payoff for the Russian president’s election meddling.

The examination also brings into sharper relief the tricks of Putin’s trade as he pressed his revanchist mission to cement his power by restoring the Russian empire and weakening democracy globally. He pursued that goal through the cunning co-optation of oligarchs and power brokers in the countries in his sights, while applying ever-evolving disinformation techniques to play to the fears and hatreds of their people.

Manafort, a political operative known for treating democracy as a tool as much as an idea.

he had achieved great riches by putting his political acumen to work for the country’s Kremlin-aligned oligarchs, helping install a government that would prove pliant in the face of Putin’s demand

Then he helped elect an American president whose open admiration of the Russian strongman muddied more than a half-century of policy promoting democracy.

In the end, Putin would not get out of a Trump presidency what he thought he had paid for, and democracy would bend but not yet break in both the United States and Ukraine. But that, as much as anything, would set the Russian leader on his march to war.

he firm specialized in covering over the bloody records of dictators like Mobutu Sese Seko of Zaire and Ferdinand Marcos of the Philippines with copious coats of high-gloss spin, presenting them as freedom-loving democrats.

Together with Roger Stone, Manafort helped develop the slashing style of conservative politics, pushing “hot buttons” to rile up base voters and tar opponents.

Long before the Trump-era investigations, Manafort had established himself in Washington and abroad as a grand master of the political dark arts

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