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the growing divisions between red and blue states represent a reversion to the lines of separation through much of the nation’s history.

“very similar, both geographically and culturally, to the divides between the Union and the Confederacy. And those dividing lines were largely set at the nation’s founding, when slave states and free states forged an uneasy alliance to become ‘one nation.’”

he’s warning that the pressure on the country’s fundamental cohesion is likely to continue ratcheting up in the 2020s

the “MAGA movement”—as the U.S. equivalent to the authoritarian parties in places such as Hungary and Venezuela. It is a multipronged, fundamentally antidemocratic movement that has built a solidifying base of institutional support through conservative media networks, evangelical churches, wealthy Republican donors, GOP elected officials, paramilitary white-nationalist groups, and a mass public following

Virginia has voted like a blue state at the presidential level, and Arizona and Georgia have moved from red to purple. With these three states shifted into those categories, the two “nations” are almost equal in eligible voting-age population, and the blue advantage in GDP roughly doubles, with the blue section contributing 48 percent and the red just 35 percent.)

This divergence itself creates enormous strain on the country’s cohesion, but more and more even that looks like only a way station

the underlying political question of the 2020s remains whether majority rule—and democracy as we’ve known it—can survive this offensive.

Podhorzer defines modern red and blue America as the states in which each party has usually held unified control of the governorship and state legislature in recent years.

By that yardstick, there are 25 red states, 17 blue states, and eight purple states

the red nation houses slightly more of the country’s eligible voting population (45 percent versus 39 percent), but the blue nation contributes more of the total U.S. gross national product: 46 percent versus 40 percent

it is determined to impose its policy and social vision on the entire country—with or without majority support

The hardening difference between red and blue, Podhorzer maintains, “empowers” the 10 purple states (if you include Arizona and Georgia) to “decide which of the two superpower nations’ values, Blue or Red, will prevail” in presidential and congressional elections

that leaves the country perpetually teetering on a knife’s edge: The combined vote margin for either party across those purple states has been no greater than two percentage points in any of the past three presidential elections

That’s a reversal from the middle decades of the 20th century, when the basic trend was toward greater convergence.

One element of that convergence came through what legal scholars call the “rights revolution.” That was the succession of actions from Congress and the Supreme Court, mostly beginning in the 1960s, that strengthened the floor of nationwide rights and reduced the ability of states to curtail those rights.

Key moments in that revolution included the passage of the Civil Rights and Voting Rights Acts and the Supreme Court decisions striking down state bans on contraception, interracial marriage, abortion, and, much later, prohibitions against same-sex intimate relations and marriage.)

Simultaneously, the regional differences were moderated by waves of national investment, including the New Deal spending on rural electrification, the Tennessee Valley Authority, agricultural price supports, and Social Security during the 1930s, and the Great Society programs that provided federal aid for K–12 schools and higher education, as well as Medicare and Medicaid.

The impact of these investments (as well as massive defense spending across both periods) on states that had historically spent little on public services and economic development helped steadily narrow the gap in per capita income between the states of the old Confederacy and the rest of the country from the 1930s until about 1980.

Since about 2008, Podhorzer calculates, the southern states at the heart of the red nation have again fallen further behind the blue nation in per capita income.

red states, as a group, are falling behind blue states on a broad range of economic and social outcomes—including economic productivity, family income, life expectancy, and “deaths of despair” from the opioid crisis and alcoholism.

other measures that show those places in a more favorable light

Housing is often more affordable in red states; partly for that reason, homelessness has become endemic in many big blue cities. Red-state taxes are generally lower than their blue counterparts. Many red states have experienced robust job growth

And red states across the Sun Belt rank among the nation’s fastest growing in population.

blue states are benefiting more as the nation transitions into a high-productivity, 21st-century information economy

red states (apart from their major metropolitan centers participating in that economy) are suffering as the powerhouse industries of the 20th century—agriculture, manufacturing, and fossil-fuel extraction—decline.

The gross domestic product per person and the median household income are now both more than 25 percent greater in the blue section than in the red,

The share of kids in poverty is more than 20 percent lower in the blue section than red, and the share of working households with incomes below the poverty line is nearly 40 percent lower.

Gun deaths are almost twice as high per capita in the red places as in the blue, as is the maternal mortality rate.

Per capita spending on elementary and secondary education is almost 50 percent higher in the blue states compared with red

All of the blue states have expanded access to Medicaid under the Affordable Care Act, while about 60 percent of the total red-nation population lives in states that have refused to do so.

All of the blue states have set a minimum wage higher than the federal level of $7.25, while only about one-third of the red-state residents live in places that have done so.

Right-to-work laws are common in the red states and nonexistent in the blue, with the result that the latter have a much higher share of unionized workers than the former

No state in the blue section has a law on the books banning abortion before fetal viability, while almost all of the red states are poised to restrict abortion rights

Almost all of the red states have also passed “stand your ground” laws backed by the National Rifle Association, which provide a legal defense for those who use weapons against a perceived threat, while none of the blue states have done so.

During the seven decades of legal Jim Crow segregation from the 1890s through the 1960s, the principal goal of the southern states at the core of red America was defensive: They worked tirelessly to prevent federal interference with state-sponsored segregation but did not seek to impose it on states outside the region.

Jim Crow segregation offers an important reference point for understanding how far red states might take this movement to roll back civil rights and liberties—not that they literally would seek to restore segregation, but that they are comfortable with “a time when states” had laws so “entirely different” that they created a form of domestic apartheid.

The flurry of socially conservative laws that red states have passed since 2021, on issues such as abortion; classroom discussions of race, gender, and sexual orientation; and LGBTQ rights, is widening this split. No Democratic-controlled state has passed any of those measures.

he documents a return to historical patterns from the Jim Crow era in which the dominant party (segregationist Democrats then, conservative Republicans now) has skewed the playing field to achieve a level of political dominance in the red nation far beyond its level of popular support

Undergirding that advantage, he argues, are laws that make registering or voting in many of the red states more difficult, and severe gerrymanders that have allowed Republicans to virtually lock in indefinite control of many state legislatures

how the United States will function with two sections that are moving so far apart.

History, in my view, offers two models

bedrock differences dating back to the country’s founding are resurfacing. And one crucial element of that, he argues, is the return of what he calls “one-party rule in the red nation.”

in the last years before the Civil War, the South’s political orientation was offensive: Through the courts (the 1857 Dred Scott decision) and in Congress (the Kansas-Nebraska Act in 1854), its principal aim was to authorize the expansion of slavery into more territories and states

Podhorzer, like Mason and Grumbach, believes that the MAGA movement’s long-term goal is to tilt the electoral rules in enough states to make winning Congress or the White House almost impossible for Democrats

Then, with support from the GOP-appointed majority on the Supreme Court, Republicans could impose red-state values and programs nationwide, even if most Americans oppose them. The “MAGA movement is not stopping at the borders of the states it already controls,” Podhorzer writes. “It seeks to conquer as much territory as possible by any means possible.”

The Trump model, in other words, is more the South in 1850 than the South in 1950, more John Calhoun than Richard Russell

it does mean that the 2020s may bring the greatest threats to the country’s basic stability since those dark and tumultuous years.

But, OK - let’s accept the conflation of the Israeli state with the Jewish people for now. The immediate question is, on what planet does Israel stand alone?

There is such a powerful urge among Israel’s defenders to make the country out to be an underdog, but there is absolutely no rational basis for doing so. Israel enjoys one of the most powerful and advanced militaries on earth. Despite the conflict, Israeli citizens are actually remarkably safe from violence compared to most of the countries on the globe

All of that would be jeopardized if Israel did in fact stand alone. But it doesn’t! Indeed, it’s hard to name nation states that enjoy more diplomatic protection than Israel.

The subhead of this piece for the Free Press (which is proving itself to be, let’s say, not particularly free when it comes to this issue) reads “after the worldwide celebration of our people’s slaughter, my hope for peace is dead.” What? Worldwide celebration? Because a few dozen dopey college kids held a few small rallies? As of four days ago, at least forty-four countries expressed support for Israel in this conflict. How many will officially express support for the people dying by the droves in Gaza? Even the establishment governments of the greater Middle East (almost universally corrupt, theocratic, or both) don’t offer any real support to Palestinians. How much more support do you need, exactly, before you stop pretending like everyone is out to get you?

When you say no one stands with Israel, what the fuck are you talking about? I cannot fathom how anyone, even the most dedicated Zionist and supporter of the Netanyahu government, could believe that Israel is the vulnerable party in this exchange.

If we define the left as broadly and loosely as possible, we can say that one thing the left has certainly accomplished this past half-century is to associate moral superiority with the underdog. This is by turns both deeply misguided and an expression of an essential truth

this folk morality, maybe righteous, maybe misguided, most likely both, has become the default ethical firmament of modern politics. Sometimes Israel’s defenders argue that being the more powerful force does not make you wrong; that’s true, but their hearts never appear to be in it. They seem to feel the tug of powerlessness, the desire to wear the sad but comfortable cloak of a refugee people, a natural and sympathetic impulse for a people still defined by the diaspora.

Every time the Israel-Palestine conflict heats up again, certain elements within the pro-Israel coalition use creepy rhetoric to insist that everyone must be fully committed to Israel, that siding against Israel should not be within the sphere of legitimate debate. This takes place against a backdrop where principled supporters of the Palestinians argue that there’s a chilling effect created by pro-Israel hardliners which squelches legitimate debate, and where anti-Semitic conspiracy theorists claim that Jews pull the strings behind the scenes. All this loose talk about what we must do and must say does nothing to rebut the former and just plays into the propaganda of the latter. I wish people would stop doing it.

I need make no grand loyalty statements because my views on this conflict have been plain for many years: the moral imperative is that we create total legal and political equality for all people in the land between the Mediterranean and the Jordan River, as basic democratic principles demand, and that all people in that land enjoy safety and prosperity

The fact remains, though - and it is a fact, an objective fact, an empirical fact, no matter how mad it makes people - that Hamas has always been empowered by Israel’s violence and oppression. I’m sorry if this is hard to accept, but Palestine is a Chinese finger trap; the more Israel pulls away, the more tightly the conflict will grip the country.

Permanent statelessness and dispossession for the Palestinians will ensure violence for generations. Only freedom for Palestinians can bring peace, and that’s the most hardheaded, ruthlessly pragmatic point anyone can make about this horrid crisis.

And if Israel’s defenders feel put upon, othered, alone, it’s because Israel and Israel alone has the power to make Palestinians free. I’m sorry, but it’s not a moral principle that says that Israel must bear responsibility for achieving peace and freedom. It’s a purely pragmatic statement of the reality of Israel’s overwhelming power in the region. Choosing sides has nothing do with it.

Or, I suppose, you could go through with the ethnic cleansing of Gaza, as a disturbing number of people are calling for. I doubt the world would stop you; that’s the upside of being Goliath. But that would destroy whatever hope there is left for Israel as a democratic state, a symbol of human rights. And I think that if you love Israel, the idea of Israel, you should fight like hell to stop that from happening. Because afterwards you’ll never be the same again.

The only way out is through de-escalation and the only permanent de-escalation is through formal legal recognition of Palestinians in the territories as full citizens in a democratic system. This might come from the establishment of a Palestinian state, or it might come with the absorption of the territories into a secular state of Israel-Palestine that extends perfectly equal legal and political rights to all people within it, as liberal values require

Serwer is a guy who constantly demands that he and his allies be allowed to do politics on easy mode, but he’s just part of a broader communal rejection of basic self-definition and comprehensible terms for this political tendency.

If you ask these people, are you part of a social revolution?, they’ll loudly tell you yes! Yes they are! They’re going to shake society at its very foundations. Well, OK then -what do I call your movement? You reject every name that organically develops! I’ll use the name you pick, but you have to actually pick one.

The basic stance of the social justice set, for a long time now, has been that they are 100% exempt from ordinary politics. BlackLivesMatter proponents have spent a year and a half acting as though their demand for justice is so transcendently, obviously correct that they don’t have to care about politics.

Well, sooner or later, guys, you have to actually give a shit about what people who aren’t a part of your movement think. Sorry. That’s life. The universe is indifferent to your demand for justice, and will remain so until you bother to try to change minds.

Do politics. Think and speak strategically. Be disciplined. Work harder. And for fuck’s sake, give me a simple term to use to address you. Please? Because right now it sure looks like you don’t want to be named because you don’t want to be criticized.

Edit: I might not have underlined this point enough - I sincerely am asking for a better term and would happily use one if offered. If woke, political correctness, identity politics, etc, are inflammatory terms, I'd be happy to substitute something that's not. But surely something is happening in our politics, and we have to be able to talk about it. So I'm asking for a name.

Biden’s approval ratings are stubbornly low. In a recent ABC poll, only 30 percent of voters approve of his handling of the economy and only 23 percent approve of his handling of immigration at the southern border. Roughly three-quarters of American voters say that Biden, at 80, is too old to seek a second term. There have been a string of polls showing that large majorities in his own party don’t want him to run again. In one survey from 2022, an astounding 94 percent of Democrats under 30 said they wanted a different nominee.

I thought Biden’s favorability ratings would climb as economic growth has remained relatively strong and as inflation has come down. But it just hasn’t happened.

don’t find this passive fatalism compelling. The party’s elected officials are basically urging rank-and-file Democrats not to be anxious about a situation that is genuinely anxiety-inducing. Last month Gov. Phil Murphy of New Jersey told The Times, “This is only a matter of time until the broad party, and broadly speaking, Americans, converge with the opinions of folks like myself.” Really? Surely if there’s a lesson we should have learned from the last decade, it’s that we should all be listening harder to what the electorate is trying to say.

The Republicans who portray him as a doddering old man based on highly selective YouTube clips are wrong. In my interviews with him, he’s like a pitcher who used to throw 94 miles an hour who now throws 87. He is clearly still an effective pitcher.

People who work with him allow that he does tire more easily, but they say that he is very much the dynamic force driving this administration

In fact, I’ve noticed some improvements in his communication style as he’s aged. He used to try to cram every fact in the known universe into every answer; now he’s more disciplined. When he’s describing some national problem, he is more crisp and focused than he used to be, clearer on what is the essential point here — more confidence-inspiring, not less.

What about four or five years from now, at the end of a second term? Will he still be competent enough to lead? Biden is fit, does not smoke or drink alcohol, exercises frequently and has no serious health conditions, according to the White House

A study in The Journal on Active Aging of Biden’s and Trump’s health records from before the 2020 elections found that both men could qualify as “super-agers” — the demographic that maintains physical and mental functioning beyond age 80.

if the president I see in interviews and at speeches is out campaigning next year against an overweight man roughly his own age, then my guess is that public anxieties on this front will diminish.

To me, age isn’t Biden’s key weakness. Inflation is. I agree with what Michael Tomasky wrote in The New Republic: Biden’s domestic legislative accomplishments are as impressive as any other president’s in my adult life. Exactly as he should have, he has directed huge amounts of resources to the people and the places that have been left behind by the global economy. By one Treasury Department estimate, more than 80 percent of the investments sparked by the Inflation Reduction Act are going to counties with below-average college graduation rates and nearly 90 percent are being made in counties with below-average wages. That was the medicine a riven country needed.

it is also true that Biden’s team overlearned the lessons of the Obama years. If Barack Obama didn’t stimulate the economy enough during the Great Recession, Biden stimulated it too much, contributing to inflation and the sticker shock people are feeling.

Anger about inflation is ripping across the world, and has no doubt helped lower the approval ratings of leaders left, right and center. Biden’s 40 percent approval rating may look bad, but in Canada, Justin Trudeau’s approval rating is 36; in Germany Olaf Scholz is at 29; in Britain Rishi Sunak is at 28; in France Emmanuel Macron is at 23; and in Japan Fumio Kishida is also at 23. This is a global phenomenon

“Inflation is the reason Biden could not deliver on his core promise to return the country to normal and the main reason his poll numbers are bad.”

voters are looking back and retroactively elevating their opinion of Trump’s presidency. When he left office only 38 percent of Americans approved of his performance as president. Today, 48 percent do, his high-water mark.

Bitterness, cynicism and distrust pervade the body politic. People perceive reality through negative lenses, seeing everything as much worse than it is. At 3.8 percent, America’s unemployment rate is objectively low, but 57 percent of voters say that the unemployment rate is “not so good” or “poor.”

The nation’s bitter state of mind is a self-perpetuating negativity machine. Younger people feel dismissed; the older generations are hogging power. Faith in major institutions is nearing record lows. The country is hungry for some kind of change but is unclear about what that might look like. As the incumbent, Biden will be tasked with trying to tell a good news story of American revival, which is just a tough story to sell in this environment. And Biden is not out there selling it convincingly.

The bracing reality is that Trump’s cynicism and fury match the national mood more than Biden’s faithful optimism.

“They seem hell bent on nominating the one Democrat who would lose to Donald Trump,” Karl Rove told me recently. “They’ve got a lot of talent on their side, let’s not kid ourselves,” he continued, pointing to younger Democrats like Gretchen Whitmer, Mitch Landrieu, Gavin Newsom and Cory Booker.

A lot of the dump-Biden conversations are based on a false premise: that the Democratic Party brand and agenda are somehow strong and popular enough that any number of younger candidates could win the White House in 2024, and that if Biden were just to retire, all sorts of obstacles and troubles would go with him.

But Biden is not the sole or even primary problem here. To the extent that these things are separable, it’s the Democratic Party as a whole that’s ailing. The generic congressional ballot is a broad measure of the strength of the congressional party. Democrats are now behind. According to a Morning Consult poll, Americans rate the Democratic Party as a whole as the more ideologically extreme party by a nine-point margin.

When pollsters ask which party is best positioned to address your concerns, here too, Democrats are trailing. In a recent Gallup poll 53 percent of Americans say Republicans will do a better job of keeping America prosperous over the short term while only 39 percent thought that of the Democrats.

Fifty-seven percent of Americans said that the Republicans would do a better job keeping America safe, while only 35 percent favor the Democrats. These are historically high Republican advantages.

Here are the hard, unpleasant facts: The Republicans have a likely nominee who is facing 91 charges. The Republicans in Congress are so controlled by a group of performative narcissists, the whole House has been reduced to chaos. And yet they are still leading the Democrats in these sorts of polling measures

There is no other potential nominee who is so credibly steeped in knowing what life is like for working- and middle-class people, just as there was no other potential nominee in 2020. After watching him for a quarter-century, I think he is genuinely most comfortable when he is hanging around the kinds of people he grew up with. He doesn’t send out any off-putting faculty lounge vibes. On cultural matters he is most defined by what he doesn’t do — needlessly offend people with overly academic verbiage and virtue signaling. That is why I worry when he talks too stridently about people on the right, when he name-calls and denounces wide swaths of people as MAGA.

Over the last half-century, the Democrats have become increasingly the party of the well-educated metropolitan class.

This is about something deeper than Joe Biden’s age. More and more people are telling pollsters that the Republicans, not the Democrats, care about people like me.

But Democrats are losing something arguably more important than a reliable base of supporters. The party is in danger of letting go of an ethos, a heritage, a tradition. The working-class heart and soul the Democrats cultivated through the Roosevelt, Truman and Kennedy years rooted Democratic progressivism in a set of values that emphasized hard work, neighborhood, faith, family and flag. Being connected to Americans’ everyday experiences kept the party pinioned to the mainstream.

. It grew prone to taking flights of fancy in policy and rhetoric, be it Medicare for All or “defund the police,” going to places where middle-of-the-road voters would not follow. It became more vulnerable to the insular outlooks of its most privileged and educated members.

And that is the fact I keep returning to. Biden is not what ails the party. As things stand, he is the Democrats’ best shot at curing what ails the party.

today, the party is bleeding working-class voters of all varieties. As John B. Judis and Ruy Teixeira point out in their forthcoming book, “Where Have All the Democrats Gone?” Democrats have been losing ground among Hispanics for the last few years. In 2012, Barack Obama carried nonwhite voters without a college degree by a 67-point margin. In 2020, Biden carried this group with a 48-point margin. Today, the Democratic ticket leads among this group by a paltry 16 points

These cultural and spiritual roots give him not just a style but a governing agenda. He has used the presidency to direct resources to those who live in the parts of the country where wages are lower, where education levels are lower, where opportunities are skimpier. Biden’s ethos harks back to the ethos of the New Deal Democratic Party, but it also harks forward to something — to a form of center-left politics that is culturally moderate and economically aggressive

Something almost spiritual is at play here, not just about whether the Democrats can win in 2024, but who the Democrats are.

I also find myself arriving foursquare at the conclusion that rejecting the president now would be, in the first place, a mistake. He offers the most plausible route toward winning the working- and middle-class groups the Democrats need, the most plausible route toward building a broad-based majority party

But it would be worse than a mistake. It would be a renunciation of the living stream of people, ideas and values that flow at the living depths of the party, a stream that propelled its past glories and still points toward future ones.

Peter Thiel has lost interest in democracy.

Thiel has cultivated an image as a man of ideas, an intellectual who studied philosophy with René Girard and owns first editions of Leo Strauss in English and German. Trump quite obviously did not share these interests, or Thiel’s libertarian principles.

For years, Thiel had been saying that he generally favored the more pessimistic candidate in any presidential race because “if you’re too optimistic, it just shows you’re out of touch.” He scorned the rote optimism of politicians who, echoing Ronald Reagan, portrayed America as a shining city on a hill. Trump’s America, by contrast, was a broken landscape, under siege.

Thiel is not against government in principle, his friend Auren Hoffman (who is no relation to Reid) says. “The ’30s, ’40s, and ’50s—which had massive, crazy amounts of power—he admires because it was effective. We built the Hoover Dam. We did the Manhattan Project,” Hoffman told me. “We started the space program.”

Their failure to make the world conform to his vision has soured him on the entire enterprise—to the point where he no longer thinks it matters very much who wins the next election.

His libertarian critique of American government has curdled into an almost nihilistic impulse to demolish it.

“Voting for Trump was like a not very articulate scream for help,” Thiel told me. He fantasized that Trump’s election would somehow force a national reckoning. He believed somebody needed to tear things down—slash regulations, crush the administrative state—before the country could rebuild.

He admits now that it was a bad bet.

“There are a lot of things I got wrong,” he said. “It was crazier than I thought. It was more dangerous than I thought. They couldn’t get the most basic pieces of the government to work. So that was—I think that part was maybe worse than even my low expectations.”

eid Hoffman, who has known Thiel since college, long ago noticed a pattern in his old friend’s way of thinking. Time after time, Thiel would espouse grandiose, utopian hopes that failed to materialize, leaving him “kind of furious or angry” about the world’s unwillingness to bend to whatever vision was possessing him at the moment

Thiel. He is worth between $4 billion and $9 billion. He lives with his husband and two children in a glass palace in Bel Air that has nine bedrooms and a 90-foot infinity pool. He is a titan of Silicon Valley and a conservative kingmaker.

“Peter tends to be not ‘glass is half empty’ but ‘glass is fully empty,’” Hoffman told me.

he tells the story of his life as a series of disheartening setbacks.

He met Mark Zuckerberg, liked what he heard, and became Facebook’s first outside investor. Half a million dollars bought him 10 percent of the company, most of which he cashed out for about $1 billion in 2012.

Thiel made some poor investments, losing enormous sums by going long on the stock market in 2008, when it nose-dived, and then shorting the market in 2009, when it rallied

on the whole, he has done exceptionally well. Alex Karp, his Palantir co-founder, who agrees with Thiel on very little other than business, calls him “the world’s best venture investor.”

Thiel told me this is indeed his ambition, and he hinted that he may have achieved it.

He longs for radical new technologies and scientific advances on a scale most of us can hardly imagine

He longs for a world in which great men are free to work their will on society, unconstrained by government or regulation or “redistributionist economics” that would impinge on their wealth and power—or any obligation, really, to the rest of humanity

Did his dream of eternal life trace to The Lord of the Rings?

He takes for granted that this kind of progress will redound to the benefit of society at large.

More than anything, he longs to live forever.

Calling death a law of nature is, in his view, just an excuse for giving up. “It’s something we are told that demotivates us from trying harder,”

Thiel grew up reading a great deal of science fiction and fantasy—Heinlein, Asimov, Clarke. But especially Tolkien; he has said that he read the Lord of the Rings trilogy at least 10 times. Tolkien’s influence on his worldview is obvious: Middle-earth is an arena of struggle for ultimate power, largely without government, where extraordinary individuals rise to fulfill their destinies. Also, there are immortal elves who live apart from men in a magical sheltered valley.

But his dreams have always been much, much bigger than that.

Yes, Thiel said, perking up. “There are all these ways where trying to live unnaturally long goes haywire” in Tolkien’s works. But you also have the elves.

How are the elves different from the humans in Tolkien? And they’re basically—I think the main difference is just, they’re humans that don’t die.”

During college, he co-founded The Stanford Review, gleefully throwing bombs at identity politics and the university’s diversity-minded reform of the curriculum. He co-wrote The Diversity Myth in 1995, a treatise against what he recently called the “craziness and silliness and stupidity and wickedness” of the left.

Thiel laid out a plan, for himself and others, “to find an escape from politics in all its forms.” He wanted to create new spaces for personal freedom that governments could not reach

But something changed for Thiel in 2009

he people, he concluded, could not be trusted with important decisions. “I no longer believe that freedom and democracy are compatible,” he wrote.

ven more notable one followed: “Since 1920, the vast increase in welfare beneficiaries and the extension of the franchise to women—two constituencies that are notoriously tough for libertarians—have rendered the notion of ‘capitalist democracy’ into an oxymoron.”

By 2015, six years after declaring his intent to change the world from the private sector, Thiel began having second thoughts. He cut off funding for the Seasteading Institute—years of talk had yielded no practical progress–and turned to other forms of escape

The fate of our world may depend on the effort of a single person who builds or propagates the machinery of freedom,” he wrote. His manifesto has since become legendary in Silicon Valley, where his worldview is shared by other powerful men (and men hoping to be Peter Thiel).

Thiel’s investment in cryptocurrencies, like his founding vision at PayPal, aimed to foster a new kind of money “free from all government control and dilution

His decision to rescue Elon Musk’s struggling SpaceX in 2008—with a $20 million infusion that kept the company alive after three botched rocket launches—came with aspirations to promote space as an open frontier with “limitless possibility for escape from world politics

It was seasteading that became Thiel’s great philanthropic cause in the late aughts and early 2010s. The idea was to create autonomous microstates on platforms in international waters.

“There’s zero chance Peter Thiel would live on Sealand,” he said, noting that Thiel likes his comforts too much. (Thiel has mansions around the world and a private jet. Seal performed at his 2017 wedding, at the Belvedere Museum in Vienna.)

As he built his companies and grew rich, he began pouring money into political causes and candidates—libertarian groups such as the Endorse Liberty super PAC, in addition to a wide range of conservative Republicans, including Senators Orrin Hatch and Ted Cruz

Sam Altman, the former venture capitalist and now CEO of OpenAI, revealed in 2016 that in the event of global catastrophe, he and Thiel planned to wait it out in Thiel’s New Zealand hideaway.

When I asked Thiel about that scenario, he seemed embarrassed and deflected the question. He did not remember the arrangement as Altman did, he said. “Even framing it that way, though, makes it sound so ridiculous,” he told me. “If there is a real end of the world, there is no place to go.”

You’d have eco farming. You’d turn the deserts into arable land. There were sort of all these incredible things that people thought would happen in the ’50s and ’60s and they would sort of transform the world.”

None of that came to pass. Even science fiction turned hopeless—nowadays, you get nothing but dystopias

He hungered for advances in the world of atoms, not the world of bits.

Founders Fund, the venture-capital firm he established in 200

The fund, therefore, would invest in smart people solving hard problems “that really have the potential to change the world.”

This was not what Thiel wanted to be doing with his time. Bodegas and dog food were making him money, apparently, but he had set out to invest in transformational technology that would advance the state of human civilization.

He told me that he no longer dwells on democracy’s flaws, because he believes we Americans don’t have one. “We are not a democracy; we’re a republic,” he said. “We’re not even a republic; we’re a constitutional republic.”

“It was harder than it looked,” Thiel said. “I’m not actually involved in enough companies that are growing a lot, that are taking our civilization to the next level.”

Founders Fund has holdings in artificial intelligence, biotech, space exploration, and other cutting-edge fields. What bothers Thiel is that his companies are not taking enough big swings at big problems, or that they are striking out.

In at least 20 hours of logged face-to-face meetings with Buma, Thiel reported on what he believed to be a Chinese effort to take over a large venture-capital firm, discussed Russian involvement in Silicon Valley, and suggested that Jeffrey Epstein—a man he had met several times—was an Israeli intelligence operative. (Thiel told me he thinks Epstein “was probably entangled with Israeli military intelligence” but was more involved with “the U.S. deep state.”)

Buma, according to a source who has seen his reports, once asked Thiel why some of the extremely rich seemed so open to contacts with foreign governments. “And he said that they’re bored,” this source said. “‘They’re bored.’ And I actually believe it. I think it’s that simple. I think they’re just bored billionaires.”

he has a sculpture that resembles a three-dimensional game board. Ascent: Above the Nation State Board Game Display Prototype is the New Zealander artist Simon Denny’s attempt to map Thiel’s ideological universe. The board features a landscape in the aesthetic of Dungeons & Dragons, thick with monsters and knights and castles. The monsters include an ogre labeled “Monetary Policy.” Near the center is a hero figure, recognizable as Thiel. He tilts against a lion and a dragon, holding a shield and longbow. The lion is labeled “Fair Elections.” The dragon is labeled “Democracy.” The Thiel figure is trying to kill them.

When I asked Thiel to explain his views on democracy, he dodged the question. “I always wonder whether people like you … use the word democracy when you like the results people have and use the word populism when you don’t like the results,” he told me. “If I’m characterized as more pro-populist than the elitist Atlantic is, then, in that sense, I’m more pro-democratic.”

“I couldn’t find them,” he said. “I couldn’t get enough of them to work.

He said he has no wish to change the American form of government, and then amended himself: “Or, you know, I don’t think it’s realistic for it to be radically changed.” Which is not at all the same thing.

When I asked what he thinks of Yarvin’s autocratic agenda, Thiel offered objections that sounded not so much principled as practical.

“I don’t think it’s going to work. I think it will look like Xi in China or Putin in Russia,” Thiel said, meaning a malign dictatorship. “It ultimately I don’t think will even be accelerationist on the science and technology side, to say nothing of what it will do for individual rights, civil liberties, things of that sort.”

Still, Thiel considers Yarvin an “interesting and powerful” historian

he always talks about is the New Deal and FDR in the 1930s and 1940s,” Thiel said. “And the heterodox take is that it was sort of a light form of fascism in the United States.”

Yarvin, Thiel said, argues that “you should embrace this sort of light form of fascism, and we should have a president who’s like FDR again.”

Did Thiel agree with Yarvin’s vision of fascism as a desirable governing model? Again, he dodged the question.

“That’s not a realistic political program,” he said, refusing to be drawn any further.

ooking back on Trump’s years in office, Thiel walked a careful line.

A number of things were said and done that Thiel did not approve of. Mistakes were made. But Thiel was not going to refashion himself a Never Trumper in retrospect.

“I have to somehow give the exact right answer, where it’s like, ‘Yeah, I’m somewhat disenchanted,’” he told me. “But throwing him totally under the bus? That’s like, you know—I’ll get yelled at by Mr. Trump. And if I don’t throw him under the bus, that’s—but—somehow, I have to get the tone exactly right.”

Thiel knew, because he had read some of my previous work, that I think Trump’s gravest offense against the republic was his attempt to overthrow the election. I asked how he thought about it.

“Look, I don’t think the election was stolen,” he said. But then he tried to turn the discussion to past elections that might have been wrongly decided. Bush-Gore in 2000, for instanc

He came back to Trump’s attempt to prevent the transfer of power. “I’ll agree with you that it was not helpful,” he said.

there is another piece of the story, which Thiel reluctantly agreed to discuss

Puck reported that Democratic operatives had been digging for dirt on Thiel since before the 2022 midterm elections, conducting opposition research into his personal life with the express purpose of driving him out of politic

Among other things, the operatives are said to have interviewed a young model named Jeff Thomas, who told them he was having an affair with Thiel, and encouraged Thomas to talk to Ryan Grim, a reporter for The Intercept. Grim did not publish a story during election season, as the opposition researchers hoped he would, but he wrote about Thiel’s affair in March, after Thomas died by suicide.

He deplored the dirt-digging operation, telling me in an email that “the nihilism afflicting American politics is even deeper than I knew.”

He also seemed bewildered by the passions he arouses on the left. “I don’t think they should hate me this much,”

he spoke at the closed-press event with a lot less nuance than he had in our interviews. His after-dinner remarks were full of easy applause lines and in-jokes mocking the left. Universities had become intellectual wastelands, obsessed with a meaningless quest for diversity, he told the crowd. The humanities writ large are “transparently ridiculous,” said the onetime philosophy major, and “there’s no real science going on” in the sciences, which have devolved into “the enforcement of very curious dogmas.”

“Diversity—it’s not enough to just hire the extras from the space-cantina scene in Star Wars,” he said, prompting laughter.

Nor did Thiel say what genuine diversity would mean. The quest for it, he said, is “very evil and it’s very silly.”

“the silliness is distracting us from very important things,” such as the threat to U.S. interests posed by the Chinese Communist Party.

“Whenever someone says ‘DEI,’” he exhorted the crowd, “just think ‘CCP.’”

Somebody asked, in the Q&A portion of the evening, whether Thiel thought the woke left was deliberately advancing Chinese Communist interests

“It’s always the difference between an agent and asset,” he said. “And an agent is someone who is working for the enemy in full mens rea. An asset is a useful idiot. So even if you ask the question ‘Is Bill Gates China’s top agent, or top asset, in the U.S.?’”—here the crowd started roaring—“does it really make a difference?”

About 10 years ago, Thiel told me, a fellow venture capitalist called to broach the question. Vinod Khosla, a co-founder of Sun Microsystems, had made the Giving Pledge a couple of years before. Would Thiel be willing to talk with Gates about doing the same?

Thiel feels that giving his billions away would be too much like admitting he had done something wrong to acquire them

He also lacked sympathy for the impulse to spread resources from the privileged to those in need. When I mentioned the terrible poverty and inequality around the world, he said, “I think there are enough people working on that.”

besides, a different cause moves him far more.

Should Thiel happen to die one day, best efforts notwithstanding, his arrangements with Alcor provide that a cryonics team will be standing by.

Then his body will be cooled to –196 degrees Celsius, the temperature of liquid nitrogen. After slipping into a double-walled, vacuum-insulated metal coffin, alongside (so far) 222 other corpsicles, “the patient is now protected from deterioration for theoretically thousands of years,” Alcor literature explains.

All that will be left for Thiel to do, entombed in this vault, is await the emergence of some future society that has the wherewithal and inclination to revive him. And then make his way in a world in which his skills and education and fabulous wealth may be worth nothing at all.

I wondered how much Thiel had thought through the implications for society of extreme longevity. The population would grow exponentially. Resources would not. Where would everyone live? What would they do for work? What would they eat and drink? Or—let’s face it—would a thousand-year life span be limited to men and women of extreme wealth?

“Well, I maybe self-serve,” he said, perhaps understating the point, “but I worry more about stagnation than about inequality.”

Thiel is not alone among his Silicon Valley peers in his obsession with immortality. Oracle’s Larry Ellison has described mortality as “incomprehensible.” Google’s Sergey Brin aspires to “cure death.” Dmitry Itskov, a leading tech entrepreneur in Russia, has said he hopes to live to 10,000.

. “I should be investing way more money into this stuff,” he told me. “I should be spending way more time on this.”

You haven’t told your husband? Wouldn’t you want him to sign up alongside you?“I mean, I will think about that,” he said, sounding rattled. “I will think—I have not thought about that.”

No matter how fervent his desire, Thiel’s extraordinary resources still can’t buy him the kind of “super-duper medical treatments” that would let him slip the grasp of death. It is, perhaps, his ultimate disappointment.

There are all these things I can’t do with my money,” Thiel said.

It tweaked its algorithm to boost authoritative sources in the news feed and turned off recommendations to join groups based around political or social issues. Facebook is reversing some of these steps now, but it cannot make people forget this toolbox exists in the future

Nothing symbolizes this shift as neatly as Facebook’s decision in October (and Twitter’s shortly after) to start banning Holocaust denial. Almost exactly a year earlier, Zuckerberg had proudly tied himself to the First Amendment in a widely publicized “stand for free expression” at Georgetown University.

The evolution continues. Facebook announced earlier this month that it will join platforms such as YouTube and TikTok in removing, not merely labeling or down-ranking, false claims about COVID-19 vaccines.

the pandemic also showed that complete neutrality is impossible. Even though it’s not clear that removing content outright is the best way to correct misperceptions, Facebook and other platforms plainly want to signal that, at least in the current crisis, they don’t want to be seen as feeding people information that might kill them.

As platforms grow more comfortable with their power, they are recognizing that they have options beyond taking posts down or leaving them up. In addition to warning labels, Facebook implemented other “break glass” measures to stem misinformation as the election approached.

Down-ranking, labeling, or deleting content on an internet platform does not address the social or political circumstances that caused it to be posted in the first place

Content moderation comes to every content platform eventually, and platforms are starting to realize this faster than ever.

Platforms don’t deserve praise for belatedly noticing dumpster fires that they helped create and affixing unobtrusive labels to them

Warning labels for misinformation might make some commentators feel a little better, but whether labels actually do much to contain the spread of false information is still unknown.

News reporting suggests that insiders at Facebook knew they could and should do more about misinformation, but higher-ups vetoed their ideas. YouTube barely acted to stem the flood of misinformation about election results on its platform.

When internet platforms announce new policies, assessing whether they can and will enforce them consistently has always been difficult. In essence, the companies are grading their own work. But too often what can be gleaned from the outside suggests that they’re failing.

And if 2020 finally made clear to platforms the need for greater content moderation, it also exposed the inevitable limits of content moderation.

Even before the pandemic, YouTube had begun adjusting its recommendation algorithm to reduce the spread of borderline and harmful content, and is introducing pop-up nudges to encourage user

even the most powerful platform will never be able to fully compensate for the failures of other governing institutions or be able to stop the leader of the free world from constructing an alternative reality when a whole media ecosystem is ready and willing to enable him. As Renée DiResta wrote in The Atlantic last month, “reducing the supply of misinformation doesn’t eliminate the demand.”

Even so, this year’s events showed that nothing is innate, inevitable, or immutable about platforms as they currently exist. The possibilities for what they might become—and what role they will play in society—are limited more by imagination than any fixed technological constraint, and the companies appear more willing to experiment than ever.

If OnlyFans’s creator earnings were taken as a whole, the company would rank around No. 90 on Forbes’s list of the biggest private companies in America by revenue, ahead of Twitter (now called X), Neiman Marcus Group, New Balance, Hard Rock International and Hallmark Cards.

Many creators now operate like independent media companies, with support staffs, growth strategies and promotional budgets, and work to apply the cold quantification and data analytics of online marketing to the creation of a fantasy life.

The subscription site has often been laughed off as a tabloid punchline, a bawdy corner of the internet where young, underpaid women (teachers, nurses, cops) sell nude photos, get found out and lose their jobs.

pressures to perform for a global audience; an internet that never forgets. “There is simply no room for naivety,” one said in a guide posted to Reddit’s r/CreatorsAdvice.

America’s social media giants for years have held up online virality as the ultimate goal, doling out measurements of followers, reactions and hearts with an unspoken promise: that internet love can translate into sponsorships and endorsement deals

But OnlyFans represents the creator economy at its most blatantly transactional — a place where viewers pay upfront for creators’ labor, and intimacy is just another unit of content to monetize.

The fast ascent of OnlyFans further spotlights how the internet has helped foster a new style of modern gig work that creators see as safe, remote and self-directed,

Creators’ nonchalance about the digital sex trade has fueled a broader debate about whether the site’s promotion of feminist autonomy is a facade: just a new class of techno-capitalism, selling the same patriarchal dream.

But OnlyFans increasingly has become the model for how a new generation of online creators gets paid. Influencers popular on mainstream sites use it to capitalize on the audiences they’ve spent years building. And OnlyFans creators have turned going viral on the big social networks into a marketing strategy, using Facebook, Twitter and TikTok as sales funnels for getting new viewers to subscribe.

many creators, she added, still find it uniquely alluring — a rational choice in an often-irrational environment for gender, work and power. “Why would I spend my day doing dirty, degrading, minimum-wage labor when I can do something that brings more money in and that I have a lot more control over?”

it is targeting major “growth regions” in Latin America, Europe and Australia. (The Mexican diver Diego Balleza said he is using his $15-a-month account to save up for next year’s Paris Olympics.)

“Does an accountant always enjoy their work? No. All work has pleasure and pain, and a lot of it is boring and annoying. Does that mean they’re being exploited?”

Adams’s operation is registered in state business records as a limited liability company and offers quarterly employee performance reviews and catered lunch. It also runs with factory-like efficiency, thanks largely to a system designed in-house to track millions of data points on customers and content and ensure every video is rigorously planned and optimized.

Since sending her first photo in 2021, Adams’s OnlyFans accounts have earned $16.5 million in sales, more than 1.4 million fans and more than 11 million “likes.” She now makes about $30,000 a day — more than most American small businesses — from subscriptions, video sales, messages and tips, half of which is pure profit

Adams’s team sees its business as one of harmless, destigmatized gratification, in which both sides get what they want. The buyers are swiped over in dating apps, widowed, divorced or bored, eager to pay for the illusion of intimacy with an otherwise unattainable match. And the sellers see themselves as not all that different from the influencers they watched growing up on YouTube, charging for parts of their lives they’d otherwise share for free.

“This is normal for my generation, you know?

“I can go on TikTok right now and see ten girls wearing the bare minimum of clothing just to get people to join their page. Why not go the extra step to make money off it?”

the job can be financially precarious and mentally taxing, demanding not just the technical labor of recording, editing, managing and marketing but also the physical and emotional labor of adopting a persona to keep clients feeling special and eager to spend.

enix International Limited, is based, the company said its sales grew from $238 million in 2019 to more than $5.5 billion last year.

Its international army of creators has also grown from 348,000 in 2019 to more than 3 million today — a tenfold increase.

The company paid its owner, the Ukrainian American venture capitalist Leonid Radvinsky, $338 million in dividends last year.)

portion of its creator base and 70 percent of its annual revenue

When Tim Stokely, a London-based operator of live-cam sex sites, founded OnlyFans with his brother in 2016, he framed it as a simple way to monetize the creators who were becoming the world’s new celebrities — the same online influencers, just with a payment button. In 2019, Stokely told Wired magazine that his site was like “a bolt-on to your existing social media,” in the same way “Uber is a bolt-on to your car.”

Before OnlyFans, pornography on the internet had been largely a top-down enterprise, with agents, producers, studios and other middlemen hoarding the profits of performers’ work. OnlyFans democratized that business model, letting the workers run the show: recording their own content, deciding their prices, selling it however they’d like and reaping the full reward.

The platform bans real-world prostitution, as well as extreme or illegal content, and requires everyone who shows up on camera to verify they’re 18 or older by sending in a video selfie showing them holding a government-issued ID.

OnlyFans operates as a neutral marketplace, with no ads, trending topics or recommendation algorithms, placing few limitations on what creators can sell but also making it necessary for them to market themselves or fade away.

After sending other creators’ agents their money over PayPal, Adams’s ad workers send suggestions over the messaging app Telegram on how Bryce should be marketed, depending on the clientele. OnlyFans models whose fans tend to prefer the “girlfriend experience,” for instance, are told to talk up her authenticity: “Bryce is a real, fit girl who wants to get to know you

Like most platforms, OnlyFans suffers from a problem of incredible pay inequality, with the bulk of the profits concentrated in the bank accounts of the lucky few.

the top 1 percent of accounts made 33 percent of the money, and that most accounts took home less than $145 a month

Watching their partner have sex with someone else sometimes sparked what they called “classic little jealousy issues,” which Adams said they resolved with “more communication, more growing up.” The money was just too good. And over time, they adopted a self-affirming ideology that framed everything as just business. Things that were tough to do but got easier with practice, like shooting a sex scene, they called, in gym terms, “reps.” Things one may not want to do at first, but require some mental work to approach, became “self-limiting beliefs.”

They started hiring workers through friends and family, and what was once just Adams became a team effort, in which everyone was expected to workshop caption and video ideas. The group evaluated content under what Brian, who is 31, called a “triangulation method” that factored their comfort level with a piece of content alongside its engagement potential and “brand match.” Bryce the person gave way to Bryce the brand, a commercialized persona drafted by committee and refined for maximum marketability.

One of the operation’s most subtly critical components is a piece of software known as “the Tool,” which they developed and maintain in-house. The Tool scrapes and compiles every “like” and view on all of Adams’s social network accounts, every OnlyFans “fan action” and transaction, and every text, sext and chat message — more than 20 million lines of text so far.

It houses reams of customer data and a library of preset messages that Adams and her chatters can send to fans, helping to automate their reactions and flirtations — “an 80 percent template for a personalized response,” she said.

And it’s linked to a searchable database, in which hundreds of sex scenes are described in detail — by price, total sales, participants and general theme — and given a unique “stock keeping unit,” or SKU, much like the scannable codes on a grocery store shelf. If a fan says they like a certain sexual scenario, a team member can instantly surface any relevant scenes for an easy upsell. “Classic inventory chain,” Adams said.

The systemized database is especially handy for the young women of Adams’s chat team, known as the “girlfriends,” who work at a bench of laptops in the gym’s upper loft. The Tool helped “supercharge her messaging, which ended up, like, 3X-ing her output,” Brian said, meaning it tripled.

Keeping men talking is especially important because the chat window is where Adams’s team sends out their mass-message sales promotions, and the girlfriends never really know what to expect. One girlfriend said she’s had as many as four different sexting sessions going at once.

Adams employs a small team that helps her pay other OnlyFans creators to give away codes fans can use for free short-term trials. The team tracks redemption rates and promotional effectiveness in a voluminous spreadsheet, looking for guys who double up on discount codes, known as “stackers,” as well as bad bets and outright fraud.

Many OnlyFans creators don’t offer anything explicit, and the site has pushed to spotlight its stable of chefs, comedians and mountain bikers on a streaming channel, OFTV. But erotic content on the platform is inescapable; even some outwardly conventional creators shed their clothes behind the paywall

Creators with a more hardcore fan base, meanwhile, are told to cut to the chase: “300+ sex tapes & counting”; “Bryce doesn’t say no, she’s the most wild, authentic girl you will ever find.”

The $18 an hour she makes on the ad team, however, is increasingly dwarfed by the money Leigh makes from her personal OnlyFans account, where she sells sex scenes with her boyfriend for $10 a month. Leigh made $92,000 in gross sales in July, thanks largely to revenue from new fans who found her through Adams or the bikini videos Leigh posts to her 170,000-follower TikTok account

“This is a real job. You dedicate your time to it every single day. You’re always learning, you’re always doing new things,” she said. “I’d never thought I’d be good at business, but learning all these business tactics really empowers you. I have my own LLC; I don’t know any other 20-year-old right now that has their own LLC.”

The team is meeting all traffic goals, per their internal dashboard, which showed that through the day on a recent Thursday they’d gained 2,221,835 video plays, 19,707 landing-page clicks, 6,372 new OnlyFans subscribers and 9,024 new social-network followers. And to keep in shape, Adams and her boyfriend are abiding by a rigorous daily diet and workout plan

They eat the same Chick-fil-A salad at every lunch, track every calorie and pay a gym assistant to record data on every rep and weight of their exercise.

But the OnlyFans business is competitive, and it does not always feel to the couple like they’ve done enough. Their new personal challenge, they said, is to go viral on the other platforms as often as possible, largely through jokey TikTok clips and bikini videos that don’t give away too much.

the host told creators this sales-funnel technique was key to helping build the “cult of you”: “Someone’s fascination will become infatuation, which will make you a lot of money.”

Adams’s company has worked to reverse engineer the often-inscrutable art of virality, and Brian now estimates Adams makes about $5,000 in revenue for every million short-form video views she gets on TikTok.

Her team has begun ranking each platform by the amount of money they expect they can get from each viewer there, a metric they call “fan lifetime value.” (Subscribers who click through to her from Facebook tend to spend the most, the data show. Facebook declined to comment.)

The younger workers said they see the couple as mentors, and the two are constantly reminding them that the job of a creator is not a “lottery ticket” and requires a persistent grind. Whenever one complains about their lack of engagement, Brian said he responds, “When’s the last time you posted 60 different videos, 60 days in a row, on your Instagram Reels?”

But some have taken to it quite naturally. Rayna Rose, 19, was working last year at a hair salon, sweeping floors for $12 an hour, when an old high school classmate who worked with Adams asked whether she wanted to try OnlyFans and make $500 a video.

Rose started making videos and working as a chatter for $18 an hour but recently renegotiated her contract with Adams to focus more on her personal OnlyFans account, where she has nearly 30,000 fans, many of whom pay $10 a month.

One recent evening this summer, Adams was in the farm’s gym when her boyfriend told her he was headed to their guest room to record a collab with Rose, who was wearing a blue bikini top and braided pigtails.

“Go have fun,” Adams told them as they walked away. “Make good content.” The 15-minute video has so far sold more than 1,400 copies and accounted for more than $30,000 in sales.

Rose said she has lost friends due to her “lifestyle,” with one messaging her recently, “Can you imagine how successful you would be if you studied regularly and spent your time wisely?”

The message stung but, in Rose’s eyes, they didn’t understand her at all. She feels, for the first time, like she has a sense of purpose: She wants to be a full-time influencer. She expects to clear $200,000 in earnings this year and is now planning to move out of her parents’ house.

“I had no idea what I wanted to do with my life. And now I know,” she said. “I want to be big. I want to be, like, mainstream.”

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