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voting rights advocates note that there has been a major setback in their world.

Also, 33 states now have Voter ID laws in place with increased identification requirements for people seeking to cast ballots

“I anticipate arrests, in and outside the Capitol,” Brooks said. “Congress allowing the Voting Rights Act to be gutted has disrupted our democracy … so our democracy should get back to functioning as it should.”

acts of civil disobedience and even a mid-April march from

What many view as the gutting of the Voting Rights Act has prompted civil rights advocates to take action. A coalition of 100 organizations including the NAACP will stage a string of protests

controversial one for civil rights advocates, who maintain that some groups of Americans, including older people and minorities, are less likely to have the sort of identification that would be required.

"We are making it very clear that we're protecting the right to vote, insuring the integrity of the right to vote and getting out the vote. This is not all of us registering people to vote and waiting for November with polite patience."

Rights that had appeared to be resolved as matters of controversy in American politics are unfortunately once again up for grabs. It’s hard to imagine what’s more American than insuring the right to vote for all Americans, and what could be more un-American than impeding it?”

Citizen Cruz: Our view

Legal case against the Canadian-born senator's eligibility is weak, but not non-existent.

The most boisterous exchange in Thursday night's Republican debate was not over terrorism, guns or the economy. It was over Texas Sen. Ted Cruz’s eligibility under the Constitution

to run for president because

“Democrats are going to be bringing a suit,” Trump predicted, adding, “There’s a big question mark on your head.”

the chances of any litigation proceeding and succeeding on this are zero.”

Cruz is as American as anybody born on U.S. soil.  And Trump, by suggesting that the Constitution’s “natural born” citizen clause could actually keep Cruz out of the White House, is trying to eliminate an oppone

the founders wrote that only "a natural born citizen" is eligible to be president. They  did not define the phrase further.

Cruz was born in Canada, but there is no doubt that he is an American citizen because his mother was a U.S. citizen.

1787, the founders feared that some foreign-born interloper, perhaps from England, might come to the USA and seek the presidency for nefarious reasons

candidacies of others have been challenged on this point. Former Michigan governor George Romney, who was born in Mexico to two American parents and ran for the 1968 GOP nomination, was threatened with legal action before he dropped out for other reasons.

The overwhelming weight of legal scholarship is on Cruz’s side. Many scholars assert that an infant born to an American parent, regardless of location, acquires citizenship “at birth” and therefore passes the “natural born” test

They argue that the meaning of “natural born” should be viewed in the context of the 1700s, when where you were born was the controlling factor.

In 2008, a bipartisan Senate resolution was passed by unanimous consent, asserting that McCain was indeed a “natural born” citizen

If the problem can't be fixed legislatively, a constitutional amendment would be necessary. Those are hard to pass, as Sen. Orrin Hatch, R-Utah, discovered after he introduced one in 2003 that would have allowed anyone who has been a citizen for 20 years, and is otherwise eligible, to become presiden

Amnesty is not immigration reform: Opposing view

There have been several legislative attempts to overhaul U.S. immigration policy over the past decade. All of them failed

how immigration affects the economic, social and national security interests of the American people — was, at best, an afterthought.

Immigration has taken center stage in the 2016 campaign because many Americans have come to recognize that it is a policy without any definable public interest objective

Granting amnesty — euphemistically called “a pathway to citizenship” — is not immigration reform

institutionalizes the government’s failure to protect the interests of the American people, and encourages still more illegal immigration.

amnesty benefits illegal aliens, it does not promote any public interest. Nearly half of all adult illegal aliens have not completed high schoo

high-productivity, high-earning workers. What it will do, over time, is make them eligible to add to the 51% of immigrant-headed households in the U.S. that rely on some form of welfare.

Amnesty would also exacerbate the already alarming erosion of America’s middle class, as former illegal aliens would be eligible to compete legally for all U.S. jobs and petition for millions more similarly skilled relatives to join them here.

The American people are seeking a new direction in the long simmering debate over immigration.

or decades, complaints about “voter fraud” have been a core component of Republican right-wing folklore — and one of their most useful election-year tools, particularly in places where winning the white vote isn’t enough to win elections.

The effect was immediate. In 1961, the Republican National Committee launched a “ballot security program,” explained in a pamphlet published by its Women’s Division. Party workers were advised to place poll watchers outside the polls with cameras.

Ultimately, that year Barr reported that his workers had “discouraged or successfully challenged 50,000 illegally registered voters.” This claim was baldly fantastical. Meanwhile, in Arizona, future Supreme Court Chief Justice William Rehnquist ran Operation Eagle Eye in Phoenix’s Maricopa County. Federal judge Charles Hardy later recalled that Eagle Eye workers in Democratic-majority precincts challenged “every black or Mexican voter,” demanding that they read a passage from the Constitution

Barr expanded Operation Eagle Eye to help Senator Barry Goldwater’s bid for the presidency in 1964. The RNC sent 1.8 million letters to registered voters nationwide — a practice called voter caging. If a letter couldn’t be delivered for any reason, it would represent a reason to challenge the voter as illegitimate.

One document from state-level GOP operations obtained by the Democratic National Committee instructed workers to stall lines in Democratic precincts. In another document, a state ballot security office in Louisiana explained that “all sheriffs in the state of Louisiana, except one, are sympathetic with Senator Goldwater’s election. We should take full advantage of this situation.”

Unsurprisingly, the effort did less to restore confidence than it did to stoke paranoia. In Houston, the Austin American newspaper looked for the more than a thousand “fictitious” or ineligible registrations claimed by the GOP county chairman. It found nothing but some simple clerical errors. In Long Beach, California, another newspaper investigation found that seven of eight people on a list of ineligible voters “were just as eligible as can be.” In Oshkosh, Wisconsin, annoyed voters called the police on the Eagle Eyes. In Miami, a circuit court judge enjoined Citizens for Goldwater for “illegal mass challenging without cause, conducted in such a manner as to obstruct the orderly conduct of the election.

the extent to which blocking voting opportunities for Democratic constituencies had become baked into conservative Republican culture became evident when Jimmy Carter proposed a package of electoral reforms in March of 1977. These included national same-day registration.

As historian Greg Downs recently wrote for TPM, the entire system of voter registration had been designed, back in the nineteenth century, to dampen democratic participation by immigrants and black Southerners that threatened native-born white dominance. A century later, conservatives went to the mat to preserve it.

At first, legislators from both parties enthusiastically endorsed same-day registration. Then, conservatives convinced the Republican Party establishment that, as the conservative newspaper Human Events put it, it would represent “Euthenasia for the GOP,” because “the bulk of these extra votes would go to the Democratic Party.” It pointed to a political scientist who said national turnout would go up 10 percent under the plan, but made it clear that the wrong people would be voting: most of the increase would come from “blacks and other traditionally Democratic voter groups.” The Heritage Foundation argued the reforms would “allow eight million illegal aliens in the U.S.” to vote

Weyrich made the dubious nature of the New Right’s definition of “free elections” more explicit. Speaking at an Evangelical gathering in 1980 alongside Reagan, he warned Christians against the “good government syndrome.

“I don’t want everyone to vote,” he said. “Elections are not won by a majority of the people… As a matter of fact, our leverage in the election quite candidly goes up as the voting population goes down. We have no responsibility, moral or otherwise, to turn out our opposition. It’s important to turn out those who are with us.”

The DNC and the New Jersey Democratic Party sued, and finally, as part of a settlement designed to stanch voter intimidation, the RNC entered a consent decree agreeing not to run any ballot-security efforts specifically targeting districts for their racial makeup.

The state Republican Party sent 125,000 postcards to recipients in Democratic areas who turned out to be 97 percent black, falsely claiming that a voter who had moved within 30 days of the election couldn’t vote, and noting that giving false information to an election official was punishable by up to five years in jail.

Both the 1986 and 1990 incidents led to new consent decrees. Neither dampened Republican enthusiasm to use fraud allegations as a political tool. In fact, by this time, it had become one of the conservative movement’s go-to responses to all kinds of perceived threats.

So too were ongoing Republican efforts to fight the liberalization of voter registration. In 1988, Kentucky’s Mitch McConnell — having been first elected to the Senate in a close vote in 1984 — argued in the American Bar Association Journal against a bill that would require mail-in registration systems nationwide. Liberal registration systems might be fine in places like North Dakota and Minnesota, he wrote, but “for other states like mine, and regions where one party dominates and people are poor, election fraud is a constant curse.”

Taking a page from Reagan and Weyrich, McConnell wrote that “relatively low voter turnout is a sign of a content democracy,” an observation that was, he argued, “heresy to some, blasphemy to others, and worst of all, politically incorrect.” Motor Voter could “foster election fraud and thus debase the entire political process,” he wrote. And anyway, “We should ask ourselves: How easy should voting be? Is it too much to ask that people have a passing interest in the political process, 10, 20, or 30 days prior to an election and that they go down to the courthouse, or the library, to register?”

Rep. Spencer Bachus of Alabama was more explicit, alleging that the Motor Voter bill would register “millions of welfare recipients, illegal aliens, and taxpayer funded entitlement recipients.”

In 1992, George H.W. Bush vetoed Motor Voter, calling it an “open invitation to fraud and corruption.” But it passed the next year, essentially on a party line vote, and Bill Clinton signed it into law.

Motor Voter was responsible for tens of millions of new voter registrations. But its roll-out wasn’t smooth. Many states resisted implementing parts of it, particularly the part about letting people sign up to vote at the offices where they received government benefits. In 1994, McConnell pushed to remove WIC offices from the list of places where voter registration must be offered. This had nothing to do with his original opposition to Motor Voter, he insisted. He was just concerned that “WIC workers will have to spend valuable time and money on an activity that is totally unrelated to the mission of the WIC program.”

Between 1999 and 2000, the Jeb Bush administration carried out a voter purge with a sloppy vengeance. It contracted with a private company, DBT, to produce “scrub lists” of ineligible voters. In her recounting of this episode, the New Yorker’s Jane Mayer notes that DBT received an award for “innovative excellence” in 1999 by a conservative group called the Voting Integrity Project, which had been pushing states to purge their rolls. DBT’s lists ended up including almost 1 percent of Florida’s electorate and nearly 3 percent of its black voters. But they were enormously messy.

voters were identified as candidates for the purge just because “their name, gender, birthdate and race matched — or nearly matched — one of the tens of millions of ex-felons in the United States.” DBT proposed refining its lists using address histories or financial records, but the state declined to take it up on the offer.

Similar purges went down across the country. A report drawn up by the House Judiciary Committee’s Democratic staff after the 2000 election found that “voters in the majority of states reported being improperly excluded or purged from voting rolls.”

As Joshua A. Douglas, a University of Kentucky law professor, tells the story, Bond took the stage at an Election Night rally, pounding the podium and screaming “this is an outrage!” He blamed Ashcroft’s loss on votes cast by dead people and dogs. Specifically, Bond spoke frequently of a Springer Spaniel named Ritzy Mekler. As it turned out, someone had indeed registered Ritzy, but the dog never cast a vote. Later investigations found only six definitively illegitimate votes out of the more than 2 million cast in all of Missouri that year.

But the post-election chaos in Florida that year was, of course, of a whole different order, and would refocus the GOP for more than a decade on the potency of a handful of votes

Given the astoundingly slim final official margin of 537 votes, it was easy for observers to rightfully attribute the outcome to any number of efforts to skew the vote or accidents of history: If Republicans hadn’t convinced state officials to count overseas absentee ballots that didn’t comply with state laws, or if the state hadn’t disenfranchised thousands of people falsely judged to be felons, or if Ralph Nader hadn’t run, or if Palm Beach County hadn’t used weirdly designed ballots, everything might have been different.

for Republicans, one clear lesson from 2000 was that any move to keep potential Democratic voters away from the polls might win them an election.

Ultimately, the federal ID requirement wasn’t terribly onerous, but Minnite writes that it was significant; it “embedded a party tactic into federal law and signaled approval for a new partisan movement in the states to encumber voters with unnecessary identification requirements.”

In the next presidential election year, 2004, talk of voter fraud was everywhere. Conservative activists targeted the community group ACORN in multiple states where it was registering voters. (In several cases, the organization’s employees turned out to have forged the registration forms — but not in the hope of casting illegitimate votes. Instead, they were trying to hit a quota set by the organization that required volunteers to collect a certain number of registrations.) In Washington State, after a super-close gubernatorial election, Republican Dino Rossi refused to concede until nearly six months after his opponent was sworn in, claiming there was illegal voting. And back in Florida, the Bush campaign got caught with caging lists made up of mostly African-American voters that it planned to use to challenge people at the polls.

Rove was convinced that some U.S. attorneys weren’t doing enough to make hay over voter fraud charges. Between 2005 and 2006, the administration fired nine U.S. attorneys. It would become one of the major scandals of the Bush presidency.

One of the fired attorneys, David C. Iglesias of New Mexico, later explained that he’d been asked to resign after declining to file corruption charges against local Democrats. Another, John McKay of Washington, said he suspected his firing had to do with his decision not to call a grand jury to investigate voter fraud in the governor’s race in 2004, which Rossi lost by just a few hundred votes. The Washington Post reported that five of the 12 U.S. attorneys the administration dismissed or considered for dismissal in 2006 oversaw districts that Rove and his deputies saw as “trouble spots for voter fraud,” including New Mexico, Nevada, Washington State, Kansas City and Milwaukee

Gonzales and the Justice Department later acknowledged that they had fired U.S. Attorney Bud Cummings in Arkansas to make way for Tim Griffin, a former Rove aid who had been involved with the caging in Florida in 2004. Griffin ended up stepping down from the post in 2007 after the scandal broke, and Gonzales lost his own job later that summer.

Today, though, Griffin is happily serving as lieutenant governor of Arkansas. Gonzales avoided criminal charges and now serves as dean of Belmont University in Tennessee. Hans von Spakovsky and one of the conservative activists Bradley Schlozman had hired as a DOJ attorney, J. Christian Adams, reprised their Bush-era roles by becoming members of Trump’s voter fraud commission last year. Few of the other people responsible for spreading the voter fraud myth faced any consequences at all.

This past January, a judge allowed the 1982 consent decree that banned the RNC from racially motivated voter security operations to expire. In June, the Supreme Court ruled that Ohio could purge occasional voters from its voter rolls if they don’t return a mailed address-confirmation form.

Self-determination, the rule of law between and within countries, liberal economics, and the protection of human rights: the “new world order” that both the George H. W. Bush and the Clinton administrations worked to create was very much in the Wilsonian mold. 

When the Berlin Wall fell, in 1989, it seemed that the opportunity for a Wilsonian world order had finally come. The former Soviet empire could be reconstructed along Wilsonian lines, and the West could embrace Wilsonian principles more consistently now that the Soviet threat had disappeared.

American leaders during and after World War II laid the foundations of what they hoped would be a Wilsonian world order, in which international relations would be guided by the principles put forward in the Universal Declaration of Human Rights and conducted according to rules established by institutions such as the United Nations, the International Court of Justice, and the World Trade Organization.

the order of things

The next stage in world history will not unfold along Wilsonian lines. The nations of the earth will continue to seek some kind of political order, because they must. And human rights activists and others will continue to work toward their goals. But the dream of a universal order, grounded in law, that secures peace between countries and democracy inside them will figure less and less in the work of world leaders. 

Although Wilsonian ideals will not disappear and there will be a continuing influence of Wilsonian thought on U.S. foreign policies, the halcyon days of the post–Cold War era, when American presidents organized their foreign policies around the principles of liberal internationalism, are unlikely to return anytime soon. 

Today, however, the most important fact in world politics is that this noble effort has failed.

Wilsonianism is only one version of a rules-based world order among many.

the pre-Wilsonian European order had moved significantly in the direction of elevating human rights to the level of diplomacy. 

The preservation of the balance of power was invoked as a goal to guide states; war, although regrettable, was seen as a legitimate element of the system. From Wilson’s standpoint, these were fatal flaws that made future conflagrations inevitable. To redress them, he sought to build an order in which states would accept enforceable legal restrictions on their behavior at home and their international conduct. 

Although Wilson was an American, his view of world order was first and foremost developed as a method for managing international politics in Europe, and it is in Europe where Wilson’s ideas have had their greatest success and where their prospects continue to look strongest.

His ideas were treated with bitter and cynical contempt by most European statesmen when he first proposed them, but they later became the fundamental basis of the European order, enshrined in the laws and practices of the EU.

the arc of history

The real problem of Wilsonianism is not a naive faith in good intentions but a simplistic view of the historical process, especially when it comes to the impact of technological progress on human social order.

Wilson was the devout son of a minister, deeply steeped in Calvinist teachings about predestination and the utter sovereignty of God, and he believed that the arc of progress was fated

he shared the optimism of what the scholar Herbert Butterfield called “the Whig historians,” the Victorian-era British thinkers who saw human history as a narrative of inexorable progress and betterment. Wilson believed that the so-called ordered liberty that characterized the Anglo-American countries had opened a path to permanent prosperity and peace.

Today’s Wilsonians have given this determinism a secular twist: in their eyes, liberalism will rule the future and bring humanity to “the end of history” as a result of human nature rather than divine purpose

In the early 1990s, leading U.S. foreign policymakers and commentators saw the fall of the Soviet Union through the same deterministic prism: as a signal that the time had come for a truly global and truly liberal world order. On all three occasions, Wilsonian order builders seemed to be in sight of their goal. But each time, like Ulysses, they were blown off course by contrary winds. 

Technical difficulties Today, those winds are gaining strength. Anyone hoping to reinvigorate the flagging Wilsonian project must contend with a number of obstacles

The most obvious is the return of ideology-fueled geopolitics. China, Russia, and a number of smaller powers aligned with them—Iran, for example—correctly see Wilsonian ideals as a deadly threat to their domestic arrangements.

Seeing Wilsonianism as a cover for American and, to some degree, EU ambitions, Beijing and Moscow have grown increasingly bold about contesting Wilsonian ideas and initiatives inside international institutions such as the UN and on the ground in places from Syria to the South China Sea.

These powers’ opposition to the Wilsonian order is corrosive in several ways.

It raises the risks and costs for Wilsonian powers to intervene in conflicts beyond their own borders.

The presence of great powers in the anti-Wilsonian coalition also provides shelter and assistance to smaller powers that otherwise might not choose to resist the status quo

Finally, the membership of countries such as China and Russia in international institutions makes it more difficult for those institutions to operate in support of Wilsonian norms: take, for example, Chinese and Russian vetoes in the UN Security Council, the election of anti-Wilsonian representatives to various UN bodies, and the opposition by countries such as Hungary and Poland to EU measures intended to promote the rule of law. 

Biological and technological research, by contrast, are critical for any country or company that hopes to remain competitive in the twenty-first century. An uncontrollable, multipolar arms race across a range of cutting-edge technologies is on the horizon, and it will undercut hopes for a revived Wilsonian order. 

The irony is that Wilsonians often believe that technological progress will make the world more governable and politics more rational—even if it also adds to the danger of war by making it so much more destructive. Wilson himself believed just that, as did the postwar order builders and the liberals who sought to extend the U.S.-led order after the Cold War. Each time, however, this faith in technological change was misplaced

As seen most recently with the rise of the Internet, although new technologies often contribute to the spread of liberal ideas and practices, they can also undermine democratic systems and aid authoritarian regimes.

Meanwhile, the torrent of technological innovation and change known as “the information revolution” creates obstacles for Wilsonian goals

It also makes it harder for national leaders to pursue the compromises that international cooperation inevitably requires and increases the chances that incoming governments will refuse to be bound by the acts of their predecessors. 

Wilsonians prioritize arms control not just because nuclear warfare could destroy the human race but also because, even if unused, nuclear weapons or their equivalent put the Wilsonian dream of a completely rules-based, law-bound international order out of reach. Weapons of mass destruction guarantee exactly the kind of state sovereignty that Wilsonians think is incompatible with humanity’s long-term security. One cannot easily stage a humanitarian intervention against a nuclear power. 

What is more, the technological progress that underlies the information revolution significantly exacerbates the problem of arms control. The development of cyberweapons and the potential of biological agents to inflict strategic damage on adversaries—graphically demonstrated by the COVID-19 pandemic—serve as warnings that new tools of warfare will be significantly more difficult to monitor or control than nuclear technology.

Today, as new technologies disrupt entire industries, and as social media upends the news media and election campaigning, politics is becoming more turbulent and polarized in many countries.

it’s not for everybody One of the central assumptions behind the quest for a Wilsonian order is the belief that as countries develop, they become more similar to already developed countries and will eventually converge on the liberal capitalist model that shapes North America and western Europe

The Wilsonian project requires a high degree of convergence to succeed; the member states of a Wilsonian order must be democratic, and they must be willing and able to conduct their international relations within liberal multilateral institutions. 

Today, China, India, Russia, and Turkey all seem less likely to converge on liberal democracy than they did in 1990. These countries and many others have developed economically and technologically not in order to become more like the West but rather to achieve a deeper independence from the West and to pursue civilizational and political goals of their own. 

In truth, Wilsonianism is a particularly European solution to a particularly European set of problems

With the specter of great-power war constantly hanging over them, European states developed a more intricate system of diplomacy and international politics than did countries in other parts of the world.

Although it would take another devastating world war to ensure that Germany, as well as its Western neighbors, would adhere to the rules of a new system, Europe was already prepared for the establishment of a Wilsonian order.

The idea of a single legitimate state with no true international peers is as deeply embedded in the political culture of China as the idea of a multistate system grounded in mutual recognition is embedded in that of Europe. There have been clashes among Chinese, Japanese, and Koreans, but until the late nineteenth century, interstate conflict was rare. 

In human history as a whole, enduring civilizational states seem more typical than the European pattern of rivalry among peer states.

For states and peoples in much of the world, the problem of modern history that needed to be solved was not the recurrence of great-power conflict. The problem, instead, was figuring out how to drive European powers awa

International institutions face an even greater crisis of confidence. Voters skeptical of the value of technocratic rule by fellow citizens are even more skeptical of foreign technocrats with suspiciously cosmopolitan views

After colonialism formally ended and nascent countries began to assert control over their new territories, the classic problems of governance in the postcolonial world remained weak states and compromised sovereignty. 

expert texpert

The recent rise of populist movements across the West has revealed another danger to the Wilsonian project. If the United States could elect Donald Trump as president in 2016, what might it do in the future? What might the electorates in other important countries do? And if the Wilsonian order has become so controversial in the West, what are its prospects in the rest of the world?

Postcolonial and non-Western states often joined international institutions as a way to recover and enhance their sovereignty, not to surrender it, and their chief interest in international law was to protect weak states from strong ones, not to limit the power of national leaders to consolidate their authority

Yet from the standpoint of Wilson and his fellow progressives, the solution to these problems could not be simply to vest power in the voters. At the time, most Americans still had an eighth-grade education or less

The progressives’ answer to this problem was to support the creation of an apolitical expert class of managers and administrators. The progressives sought to build an administrative state that would curb the excessive power of the rich and redress the moral and political deficiencies of the poor.

The Internet and social media have undermined respect for all forms of expertise. Ordinary citizens today are significantly better educated and feel less need to rely on expert guidance. And events including the U.S. invasion of Iraq in 2003, the 2008 financial crisis, and the inept government responses during the 2020 pandemic have seriously reduced confidence in experts and technocrats, whom many people have come to see as forming a nefarious “deep state.”

Wilson lived in an era when democratic governance faced problems that many feared were insurmountable. The Industrial Revolution had divided American society, creating unprecedented levels of inequality.

when it comes to international challenges such as climate change and mass migration, there is little evidence that the cumbersome institutions of global governance and the quarrelsome countries that run them will produce the kind of cheap, elegant solutions that could inspire public trust. 

what it means for biden

For all these reasons, the movement away from the Wilsonian order is likely to continue, and world politics will increasingly be carried out along non-Wilsonian and in some cases even anti-Wilsonian lines

the international order will increasingly be shaped by states that are on diverging paths. This does not mean an inevitable future of civilizational clashes, but it does mean that global institutions will have to accommodate a much wider range of views and values than they have in the past.

Non-Wilsonian orders have existed both in Europe and in other parts of the world in the past, and the nations of the world will likely need to draw on these examples as they seek to cobble together some kind of framework for stability and, if possible, peace under contemporary conditions. 

For U.S. policymakers, the developing crisis of the Wilsonian order worldwide presents vexing problems that are likely to preoccupy presidential administrations for decades to come. One problem is that many career officials and powerful voices in Congress, civil society organizations, and the press deeply believe not only that a Wilsonian foreign policy is a good and useful thing for the United States but also that it is the only path to peace and security and even to the survival of civilization and humanity.

Those factions will be hemmed in by the fact that any internationalist coalition in American foreign policy must rely to a significant degree on Wilsonian voters. But a generation of overreach and poor political judgment has significantly reduced the credibility of Wilsonian ideas among the American electorate.

But American foreign policy is always a coalition affair. As I wrote in my book Special Providence, Wilsonians are one of four schools that have contended to shape American foreign policy since the eighteenth century.

Hamiltonians and Wilsonians largely dominated American foreign-policy making after the Cold War, but Obama began to reintroduce some Jeffersonian ideas about restraint, and after the Libyan misadventure, his preference for that approach clearly strengthened.

Trump, who hung a portrait of President Andrew Jackson in the Oval Office, sought to build a nationalist coalition of Jacksonians and Jeffersonians against the globalist coalition of Hamiltonians and Wilsonians that had been ascendant since World War II. 

Even as the Biden administration steers American foreign policy away from the nationalism of the Trump period, it will need to re-adjust the balance between the Wilsonian approach and the ideas of the other schools in light of changed political conditions at home and abroad.

Saving the planet from a climate catastrophe and building a coalition to counter China are causes that many Wilsonians will agree both require and justify a certain lack of scrupulosity when it comes to the choice of both allies and tactics. 

The Biden administration can also make use of other techniques that past presidents have used to gain the support of Wilsonians

Even as the ultimate goals of Wilsonian policy become less achievable, there are particular issues on which intelligent and focused American policy can produce results that Wilsonians will like

International cooperation to make money laundering more difficult and to eliminate tax havens is one area where progress is possible.

Concern for international public health will likely stay strong for some years after the COVID-19 pandemic has ended.

Promoting education for underserved groups in foreign countries—women, ethnic and religious minorities, the poor—is one of the best ways to build a better world,

however problematic Wilson’s personal views and domestic policies were, as a statesman and ideologist, he must be counted among the most influential makers of the modern world

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.

Of all the social sciences, economics has come closest to formulating law-like principles. The trouble is that they fail to explain some of the largest historical changes. Ask what makes sustained economic growth possible, and economists will tell you that certain institutions are required - private property, enforceable contracts and the rule of law, for example. Yet none of these is common in China, where economic growth has occurred over the past 30 years on a scale unprecedented in history.

It is an impressive achievement, a grand theory of history that can be compared meaningfully with those of Toynbee and Marx

As Morris sees it, it is not Greek philosophy, Roman law, Judaeo-Christian monotheism or the European Enlightenment that enabled the west's rise to global power, but the brute fact of location, interacting with universal laws of biology and sociology.

“The important history is global and evolutionary," he writes, "telling the story of how we got from single-celled organisms to the Singularity."

If Darwin is right, we are highly adventitious animals, chance products of a process of natural selection that is going nowhere in particular. Like so many others, Morris has turned evolution into a kind of fairy tale.

But the problem with almost everything President Trump is doing today is not that he’s violating norms. The problem is that he is abusing his presidential powers to cover up his crimes and his associates’ crimes. Full stop.

The norms are just the orange rubber cones he knocked over when he drove out of his lane and headed for the crowded sidewalk.

These are not ‘conflicts of interest’. A ‘conflict of interest’ is a case in which the nature of a situation makes it impossible for a person to separate their personal interests from their public responsibilities (or to appear to do so)

What we’re seeing now are not conflicts of interest. They’re straight-up corruption.

We have an increasingly open effort to make vast sums of money with the presidency. It’s happening in front of our eyes, albeit not quite as visibly as the coverup.

for more than a year, President Trump has continued a nonstop effort to cover up his and his associates’ crimes

obstruction of justice statutes universally do not require proof of an underlying crime. You’re not allowed to stymie or obstruct a lawful criminal investigation. Full stop. The effort to do so generally speaks for itself in creating a presumption of guilt.

As is often the case with Presidents, this goes beyond mere statutes: the point is the substance of obstructing justice which the President is not only clearly doing now but has been doing more or less openly for more than a year.

The other problem with “norms” – perhaps the really critical one – is that they can easily sound like some precious bureaucratic niceties which simply aren’t that important

Again, we’re confusing the issue. It’s not norms. The President is trying to obstruct and stymie and hamstring a lawful investigation into his own crimes and those of his associates: by repeatedly lying, firing and threatening to fire people, intervening in law enforcement decisions in his own interest, fabricating fake stories to impede the investigation.

Nation-states, when they form, imagine a past. That, at least in part, accounts for why modern historical writing arose with the nation-state.

For more than a century, the nation-state was the central object of historical inquiry.

studying American history meant studying the American nation. As the historian John Higham put it, “From the middle of the nineteenth century until the 1960s, the nation was the grand subject of American history.”

“A history in common is fundamental to sustaining the affiliation that constitutes national subjects,” the historian Thomas Bender once observed. “Nations are, among other things, a collective agreement, partly coerced, to affirm a common history as the basis for a shared future.”

in the 1970s, studying the nation fell out of favor in the American historical profession. Most historians started looking at either smaller or bigger things, investigating the experiences and cultures of social groups or taking the broad vantage promised by global history

The endurance of nationalism proves that there’s never any shortage of blackguards willing to prop up people’s sense of themselves and their destiny with a tissue of myths and prophecies, prejudices and hatreds, or to empty out old rubbish bags full of festering resentments and calls to violence.

When historians abandon the study of the nation, when scholars stop trying to write a common history for a people, nationalism doesn’t die. Instead, it eats liberalism. 

is there any option other than to try to craft a new American history—one that could foster a new Americanism? 

o review: a nation is a people with common origins, and a state is a political community governed by laws.

A nation-state is a political community governed by laws that unites a people with a supposedly common ancestry.

These Truths, “Very often, histories of nation-states are little more than myths that hide the seams that stitch the nation to the state.”

Not until the 1840s, when European nations were swept up in what has been called “the age of nationalities,” did Americans come to think of themselves as belonging to a nation, with a destiny

the state-nation, which arises when the state is formed before the development of any sense of national consciousness. The United States might be seen as a, perhaps the only, spectacular example of the latter”

Bancroft’s ten-volume History of the United States, From the Discovery of the American Continent, was published between 1834 and 1874.

An architect of manifest destiny, Bancroft wrote his history in an attempt to make the United States’ founding appear inevitable, its growth inexorable, and its history ancient. De-emphasizing its British inheritance, he celebrated the United States as a pluralistic and cosmopolitan nation, with ancestors all over the world:

Nineteenth-century nationalism was liberal, a product of the Enlightenment. It rested on an analogy between the individual and the collective

“The concept of national self-determination—transferring the ideal of liberty from the individual to the organic collectivity—was raised as the banner of liberalism.” 

Nineteenth-century Americans understood the nation-state within the context of an emerging set of ideas about human rights: namely, that the power of the state guaranteed everyone eligible for citizenship the same set of irrevocable political rights.

The American Civil War was a struggle over two competing ideas of the nation-state. This struggle has never ended; it has just moved around

Southerners were nationalists, too. It’s just that their nationalism was what would now be termed “illiberal” or “ethnic,” as opposed to the Northerners’ liberal or civic nationalism.

much of U.S. history has been a battle between them. 

“Ours is the government of the white man,” the American statesman John C. Calhoun declared in 1848, arguing against admitting Mexicans as citizens of the United States. “This Government was made by our fathers on the white basis,” the American politician Stephen Douglas said in 1858. “It was made by white men for the benefit of white men and their posterity forever.” 

In 1861, the Confederacy’s newly elected vice president, Alexander Stephens, delivered a speech in Savannah in which he explained that the ideas that lay behind the U.S. Constitution “rested upon the assumption of the equality of races”—here ceding Lincoln’s argument—but that “our new government is founded upon exactly the opposite ideas; its foundations are laid, its cornerstone rests, upon the great truth that the negro is not equal to the white man; that slavery is his natural and moral condition.”

the battle between liberal and illiberal nationalism raged on, especially during the debates over the 14th and 15th Amendments, which marked a second founding of the United States on terms set by liberal ideas about the rights of citizens and the powers of nation-states—namely, birthright citizenship, equal rights, universal (male) suffrage, and legal protections for noncitizens

For Douglass, progress could only come in this new form of a nation, the composite nation. “We shall spread the network of our science and civilization over all who seek their shelter, whether from Asia, Africa, or the Isles of the sea,” he said, and “all shall here bow to the same law, speak the same language, support the same Government, enjoy the same liberty, vibrate with the same national enthusiasm, and seek the same national ends.”

that effort had been betrayed by white Northerners and white Southerners who patched the United States back together by inventing a myth that the war was not a fight over slavery at all but merely a struggle between the nation and the states. “We fell under the leadership of those who would compromise with truth in the past in order to make peace in the present,” Du Bois wrote bitterly.

Nationalism was taking a turn, away from liberalism and toward illiberalism, including in Germany

That “placed the question of the ‘nation,’ and the citizen’s feelings towards whatever he regarded as his ‘nation,’ ‘nationality’ or other centre of loyalty, at the top of the political agenda.”

began in the United States in the 1880s, with the rise of Jim Crow laws, and with a regime of immigration restriction, starting with the Chinese Exclusion Act, the first federal law restricting immigration, which was passed in 1882. Both betrayed the promises and constitutional guarantees made by the 14th and 15th Amendments.

the white men who delivered speeches at the annual meetings of the American Historical Association during those years had little interest in discussing racial segregation, the disenfranchisement of black men, or immigration restriction

All offered national histories that left out the origins and endurance of racial inequality.

the uglier and more illiberal nationalism got, the more liberals became convinced of the impossibility of liberal nationalism

The last, best single-volume popular history of the United States written in the twentieth century was Degler’s 1959 book, Out of Our Past: The Forces That Shaped Modern America: a stunning, sweeping account that, greatly influenced by Du Bois, placed race, slavery, segregation, and civil rights at the center of the story, alongside liberty, rights, revolution, freedom, and equality. Astonishingly, it was Degler’s first book.

hatred for nationalism drove American historians away from it in the second half of the twentieth century.

with the coming of the Vietnam War, American historians stopped studying the nation-state in part out of a fear of complicity with atrocities of U.S. foreign policy and regimes of political oppression at home.

Bender observed in Rethinking American History in a Global Age in 2002. “Only recently,” he continued, “and because of the uncertain status of the nation-state has it been recognized that history as a professional discipline is part of its own substantive narrative and not at all sufficiently self-conscious about the implications of that circularity.” Since then, historians have only become more self-conscious, to the point of paralysis

If nationalism was a pathology, the thinking went, the writing of national histories was one of its symptoms, just another form of mythmaking

Beginning in the 1960s, women and people of color entered the historical profession and wrote new, rich, revolutionary histories, asking different questions and drawing different conclusions

a lot of historians in the United States had begun advocating a kind of historical cosmopolitanism, writing global rather than national history

Michael Walzer grimly announced that “the tribes have returned.” They had never left. They’d only become harder for historians to see, because they weren’t really looking anymore. 

Writing national history creates plenty of problems. But not writing national history creates more problems, and these problems are worse.

What would a new Americanism and a new American history look like? They might look rather a lot like the composite nationalism imagined by Douglass and the clear-eyed histories written by Du Bois

A nation born in contradiction will forever fight over the meaning of its history. But that doesn’t mean history is meaningless, or that anyone can afford to sit out the fight.

“The history of the United States at the present time does not seek to answer any significant questions,” Degler told his audience some three decades ago. If American historians don’t start asking and answering those sorts of questions, other people will, he warned

“Talents for low intrigue, and the little arts of popularity,” might suffice for someone to be elected to the governorship of a state, but not the presidency. Election would “require other talents, and a different kind of merit,” to gain “the esteem and confidence of the whole Union,” or enough of it to win the presidency. As a result, there would be “a constant probability of seeing the station filled by characters pre-eminent for ability and virtue.” This was the Framers’ goal in designing the system that would make “the choice of the person to whom so important a trust was to be confided.”

In a nutshell, while carrying out his official duties, a president has to put the country, not himself, first; he must faithfully follow and enforce the law; and he must act with the utmost care in doing all that.

can Trump do all that? Does his personality allow him to? Answering those questions doesn’t require mental-health expertise, nor does it really require a diagnosis. You can make the argument for Trump’s unfitness without assessing his mental health: Like James Fallows, for example, you could just ask whether Trump would have been allowed to retain any other job in light of his bizarre conduct

More than a diagnosis, what truly matters, as Lincoln’s case shows, is the president’s behavioral characteristics and personality traits. And understanding how people behave and think is not the sole province of professionals; we all do it every day, with family members, co-workers, and others.

its criteria for personality disorders—they don’t require a person to lie on a couch and confess his or her innermost thoughts. They turn on how a person behaves in the wild, so to speak.

Donald Trump, as president of the United States, is probably the most observable and observed person in the world. I’ve personally met and spoken with him only a few times, but anyone who knows him will tell you that Trump, in a way, has no facade: What you see of him publicly is what you get all the time, although you may get more of it in private

accounts of a person’s behavior from laypeople who observe him might be more accurate than information from a clinical interview, and that this is especially true when considering two personality disorders in particular—what the DSM calls narcissistic personality disorder and antisocial personality disorde

These two disorders just happen to be the ones that have most commonly been ascribed to Trump by mental-health professionals over the past four years. Of these two disorders, the more commonly discussed when it comes to Trump is narcissistic personality disorder, or NPD—pathological narcissism

it touches directly upon whether Trump has the capacity to put anyone’s interests—including the country’s and the Constitution’s—above his own.

A certain amount of narcissism is healthy, and helpful—it brings with it confidence, optimism, and boldness. Someone with more than an average amount of narcissism may be called a narcissist. Many politicians, and many celebrities, could be considered narcissists

“Pathological narcissism begins when people become so addicted to feeling special that, just like with any drug, they’ll do anything to get their ‘high,’ including lie, steal, cheat, betray, and even hurt those closest to them,”

The “fundamental life goal” of an extreme narcissist “is to promote the greatness of the self, for all to see,

To many mental-health professionals, Donald Trump provides a perfect example of such extreme, pathological narcissism: One clinical psychologist told Vanity Fair that he considers Trump such a “classic” pathological narcissist that he is actually “archiving video clips of him to use in workshops because there’s no better example”

The goal of a diagnosis is to help a clinician guide treatment. The question facing the public is very different: Does the president of the United States exhibit a consistent pattern of behavior that suggests he is incapable of properly discharging the duties of his office?

Even Trump’s own allies recognize the degree of his narcissism. When he launched racist attacks on four congresswomen of color, Senator Lindsey Graham explained, “That’s just the way he is. It’s more narcissism than anything else.” So, too, do skeptics of assigning a clinical diagnosis. “No one is denying,” Frances told Rolling Stone, “that he is as narcissistic an individual as one is ever likely to encounter.” The president’s exceptional narcissism is his defining characteristic—and understanding that is crucial to evaluating his fitness for office

The DSM-5 describes its conception of pathological narcissism this way: “The essential feature of narcissistic personality disorder is a pervasive pattern of grandiosity, need for admiration, and lack of empathy that begins by early adulthood and is present in a variety of contexts.”

The diagnostic criteria offer a useful framework for understanding the most remarkable features of Donald Trump’s personality, and of his presidency. (1) Exaggerates achievements and talents, expects to be recognized as superior without commensurate achievements?

(2) Preoccupied with fantasies of unlimited success, power, brilliance

(3) Believes that he or she is “special” and unique and should only associate with other special or high-status people?

Trump claims to be an expert—the world’s greatest—in anything and everything. As one video mash-up shows, Trump has at various times claimed—in all seriousness—that no one knows more than he does about: taxes, income, construction, campaign finance, drones, technology, infrastructure, work visas, the Islamic State, “things” generally, environmental-impact statements, Facebook, renewable energy, polls, courts, steelworkers, golf, banks, trade, nuclear weapons, tax law, lawsuits, currency devaluation, money, “the system,” debt, and politicians.

(4) Requires excessive admiration? Last Thanksgiving, Trump was asked what he was most thankful for. His answer: himself, of course. A number of years ago, he made a video for Forbes in which he interviewed two of his children. The interview topic: how great they thought Donald Trump wa

(5) A sense of entitlement? (9) Arrogant, haughty behaviors? Trump is the man who, on the infamous Access Hollywood tape, said, “When you’re a star, they let you do it. You can do anything you want”—including grabbing women by their genitals. He’s the man who also once said, “I could stand in the middle of Fifth Avenue and shoot somebody and I wouldn’t lose any voters.”

(8) Envious of others? Here’s a man so unable to stand the praise received by a respected war hero and statesman, Senator John McCain, that he has continued to attack McCain months after McCain’s death;

(6) Interpersonally exploitative? Just watch the Access Hollywood tape, or ask any of the hundreds of contractors and employees Trump the businessman allegedly stiffed, or speak with any of the two dozen women who have accused Trump of sexual misconduct, sexual assault, or rape.

Finally, (7) Lacks empathy: is unwilling to recognize or identify with the feelings or needs of others? One of the most striking aspects of Trump’s personality is his utter and complete lack of empathy

The notorious lawyer and fixer Roy Cohn, who once counseled Trump, said that “Donald pisses ice water,” and indeed, examples of Trump’s utter lack of normal human empathy abound.

“It made no sense, Priebus realized, unless you understood … ‘The president has zero psychological ability to recognize empathy or pity in any way.’

What kind of human being, let alone politician, would engage in such unempathetic, self-centered behavior while memorializing such horrible tragedies? Only the most narcissistic person imaginable—or a person whose narcissism would be difficult to imagine if we hadn’t seen it ourselves. The evidence of Trump’s narcissism is overwhelming—indeed, it would be a gargantuan task to try to marshal all of it, especially as it mounts each and every day.

A second disorder also frequently ascribed to Trump by professionals is sociopathy—what the DSM-5 calls antisocial personality disorder

Central to sociopathy is a complete lack of empathy—along with “an absence of guilt.” Sociopaths engage in “intentional manipulation, and controlling or even sadistically harming others for personal power or gratification. People with sociopathic traits have a flaw in the basic nature of human beings … They are lacking an essential part of being human.” For its part, the DSM-5 states that the “essential feature of antisocial personality disorder is a pervasive pattern of disregard for, and violation of, the rights of others that begins in childhood or early adolescence and continues into adulthood.”

Trump’s sociopathic characteristics sufficiently intertwine with his narcissistic ones that they deserve mention here. These include, to quote the DSM-5, “deceitfulness, as indicated by repeated lying, use of aliases, or conning others.” Trump’s deceitfulness—his lying—has become the stuff of legend; journalists track his “false and misleading claims” as president by the thousands upon thousands.

Other criteria for antisocial personality disorder include “failure to conform to social norms with respect to lawful behaviors, as indicated by repeatedly performing acts that are grounds for arrest”; “impulsivity or failure to plan ahead”; and “lack of remorse, as indicated by being indifferent to or rationalizing having hurt, mistreated, or stolen from another.

As for impulsivity, that essentially describes what gets him into trouble most: It was his “impulsiveness—actually, total recklessness”—that came close to destroying him in the 1980s

And lack of remorse? That’s a hallmark of sociopathy, and goes hand in hand with a lack of human conscience. In a narcissistic sociopath, it’s intertwined with a lack of empathy. Trump hardly ever shows remorse, or apologizes, for anything. The one exception: With his presidential candidacy on the line in early October

In a way, Trump’s sociopathic tendencies are simply an extension of his extreme narcissism

articular, “They change reality to suit themselves in their own mind.” Although Trump “lies because of his sociopathic tendencies,” telling falsehoods to fool others, Dodes argues, he also lies to himself, to protect himself from narcissistic injury. And so Donald Trump has lied about his net worth, the size of the crowd at his inauguration, and supposed voter fraud in the 2016 election.

The latter kind of lying, Dodes says, “is in a way more serious,” because it can indicate “a loose grip on reality”—and it may well tell us where Trump is headed in the face of impeachment hearings. Lying to prevent narcissistic injury can metastasize to a more significant loss of touch with reality

Experts haven’t suggested that Trump is psychotic, but many have contended that his narcissism and sociopathy are so inordinate that he fits the bill for “malignant narcissism.” Malignant narcissism isn’t recognized as an official diagnosis; it’s a descriptive term coined by the psychoanalyst Erich Fromm, and expanded upon by another psychoanalyst, Otto Kernberg, to refer to an extreme mix of narcissism and sociopathy, with a degree of paranoia and sadism mixed in

In the view of some in the mental-health community, such as John Gartner, Trump “exhibits all four” components of malignant narcissism: “narcissism, paranoia, antisocial personality and sadism.”

Mental-health professionals have raised a variety of other concerns about Trump’s mental state; the last worth specifically mentioning here is the possibility that, apart from any personality disorder, he may be suffering cognitive decline.

His “mental state,” according to Justin A. Frank, a former clinical professor of psychiatry and physician who wrote a book about Trump’s psychology, “include[s] so many psychic afflictions” that a “working knowledge of psychiatric disorders is essential to understanding Trump.” Indeed, as Gartner puts it: “There are a lot of things wrong with him—and, together, they are a scary witch’s brew.”