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Altman believes that people need time to reckon with the idea that we may soon share Earth with a powerful new intelligence, before it remakes everything from work to human relationships. ChatGPT was a way of serving notice.

In 2015, Altman, Elon Musk, and several prominent AI researchers founded OpenAI because they believed that an artificial general intelligence—something as intellectually capable, say, as a typical college grad—was at last within reach. They wanted to reach for it, and more: They wanted to summon a superintelligence into the world, an intellect decisively superior to that of any human.

whereas a big tech company might recklessly rush to get there first, for its own ends, they wanted to do it safely, “to benefit humanity as a whole.” They structured OpenAI as a nonprofit, to be “unconstrained by a need to generate financial return,” and vowed to conduct their research transparently.

The engine that now powers ChatGPT is called GPT-4. Altman described it to me as an alien intelligence.

Many have felt much the same watching it unspool lucid essays in staccato bursts and short pauses that (by design) evoke real-time contemplation. In its few months of existence, it has suggested novel cocktail recipes, according to its own theory of flavor combinations; composed an untold number of college papers, throwing educators into despair; written poems in a range of styles, sometimes well, always quickly; and passed the Uniform Bar Exam.

It makes factual errors, but it will charmingly admit to being wrong.

Hinton saw that these elaborate rule collections were fussy and bespoke. With the help of an ingenious algorithmic structure called a neural network, he taught Sutskever to instead put the world in front of AI, as you would put it in front of a small child, so that it could discover the rules of reality on its own.

Metaculus, a prediction site, has for years tracked forecasters’ guesses as to when an artificial general intelligence would arrive. Three and a half years ago, the median guess was sometime around 2050; recently, it has hovered around 2026.

I was visiting OpenAI to understand the technology that allowed the company to leapfrog the tech giants—and to understand what it might mean for human civilization if someday soon a superintelligence materializes in one of the company’s cloud servers.

Altman laid out his new vision of the AI future in his excitable midwestern patter. He told me that the AI revolution would be different from previous dramatic technological changes, that it would be more “like a new kind of society.” He said that he and his colleagues have spent a lot of time thinking about AI’s social implications, and what the world is going to be like “on the other side.”

the more we talked, the more indistinct that other side seemed. Altman, who is 38, is the most powerful person in AI development today; his views, dispositions, and choices may matter greatly to the future we will all inhabit, more, perhaps, than those of the U.S. president.

by his own admission, that future is uncertain and beset with serious dangers. Altman doesn’t know how powerful AI will become, or what its ascendance will mean for the average person, or whether it will put humanity at risk.

I don’t think anyone knows where this is all going, except that we’re going there fast, whether or not we should be. Of that, Altman convinced me.

“We could have gone off and just built this in our building here for five more years,” he said, “and we would have had something jaw-dropping.” But the public wouldn’t have been able to prepare for the shock waves that followed, an outcome that he finds “deeply unpleasant to imagine.”

Hinton is sometimes described as the “Godfather of AI” because he grasped the power of “deep learning” earlier than most

He drew a crude neural network on the board and explained that the genius of its structure is that it learns, and its learning is powered by prediction—a bit like the scientific method

Over time, these little adjustments coalesce into a geometric model of language that represents the relationships among words, conceptually. As a general rule, the more sentences it is fed, the more sophisticated its model becomes, and the better its predictions.

Altman has compared early-stage AI research to teaching a human baby. “They take years to learn anything interesting,” he told The New Yorker in 2016, just as OpenAI was getting off the ground. “If A.I. researchers were developing an algorithm and stumbled across the one for a human baby, they’d get bored watching it, decide it wasn’t working, and shut it down.”

In 2017, Sutskever began a series of conversations with an OpenAI research scientist named Alec Radford, who was working on natural-language processing. Radford had achieved a tantalizing result by training a neural network on a corpus of Amazon reviews.

Radford’s model was simple enough to allow for understanding. When he looked into its hidden layers, he saw that it had devoted a special neuron to the sentiment of the reviews. Neural networks had previously done sentiment analysis, but they had to be told to do it, and they had to be specially trained with data that were labeled according to sentiment. This one had developed the capability on its own.

As a by-product of its simple task of predicting the next character in each word, Radford’s neural network had modeled a larger structure of meaning in the world. Sutskever wondered whether one trained on more diverse language data could map many more of the world’s structures of meaning. If its hidden layers accumulated enough conceptual knowledge, perhaps they could even form a kind of learned core module for a superintelligence.

Language is different from these data sources. It isn’t a direct physical signal like light or sound. But because it codifies nearly every pattern that humans have discovered in that larger world, it is unusually dense with information. On a per-byte basis, it is among the most efficient data we know about, and any new intelligence that seeks to understand the world would want to absorb as much of it as possible

Sutskever told Radford to think bigger than Amazon reviews. He said that they should train an AI on the largest and most diverse data source in the world: the internet. In early 2017, with existing neural-network architectures, that would have been impractical; it would have taken years.

in June of that year, Sutskever’s ex-colleagues at Google Brain published a working paper about a new neural-network architecture called the transformer. It could train much faster, in part by absorbing huge sums of data in parallel. “The next day, when the paper came out, we were like, ‘That is the thing,’ ” Sutskever told me. “ ‘It gives us everything we want.’ ”

Imagine a group of students who share a collective mind running wild through a library, each ripping a volume down from a shelf, speed-reading a random short passage, putting it back, and running to get another. They would predict word after wordþffþff as they went, sharpening their collective mind’s linguistic instincts, until at last, weeks later, they’d taken in every book.

GPT discovered many patterns in all those passages it read. You could tell it to finish a sentence. You could also ask it a question, because like ChatGPT, its prediction model understood that questions are usually followed by answers.

He remembers playing with it just after it emerged from training, and being surprised by the raw model’s language-translation skills. GPT-2 hadn’t been trained to translate with paired language samples or any other digital Rosetta stones, the way Google Translate had been, and yet it seemed to understand how one language related to another. The AI had developed an emergent ability unimagined by its creators.

Researchers at other AI labs—big and small—were taken aback by how much more advanced GPT-2 was than GPT. Google, Meta, and others quickly began to train larger language models

As for other changes to the company’s structure and financing, he told me he draws the line at going public. “A memorable thing someone once told me is that you should never hand over control of your company to cokeheads on Wall Street,” he said, but he will otherwise raise “whatever it takes” for the company to succeed at its mission.

Altman tends to take a rosy view of these matters. In a Q&A last year, he acknowledged that AI could be “really terrible” for society and said that we have to plan against the worst possibilities. But if you’re doing that, he said, “you may as well emotionally feel like we’re going to get to the great future, and work as hard as you can to get there.”

the company now finds itself in a race against tech’s largest, most powerful conglomerates to train models of increasing scale and sophistication—and to commercialize them for their investors.

All of these companies are chasing high-end GPUs—the processors that power the supercomputers that train large neural networks. Musk has said that they are now “considerably harder to get than drugs.

No one has yet outpaced OpenAI, which went all in on GPT-4. Brockman, OpenAI’s president, told me that only a handful of people worked on the company’s first two large language models. The development of GPT-4 involved more than 100,

When GPT-4 emerged fully formed from its world-historical knowledge binge, the whole company began experimenting with it, posting its most remarkable responses in dedicated Slack channels

Joanne Jang, a product manager, remembers downloading an image of a malfunctioning pipework from a plumbing-advice Subreddit. She uploaded it to GPT-4, and the model was able to diagnose the problem. “That was a goose-bumps moment for me,” Jang told me.

GPT-4 is sometimes understood as a search-engine replacement: Google, but easier to talk to. This is a misunderstanding. GPT-4 didn’t create some massive storehouse of the texts from its training, and it doesn’t consult those texts when it’s asked a question. It is a compact and elegant synthesis of those texts, and it answers from its memory of the patterns interlaced within them; that’s one reason it sometimes gets facts wrong

it’s best to think of GPT-4 as a reasoning engine. Its powers are most manifest when you ask it to compare concepts, or make counterarguments, or generate analogies, or evaluate the symbolic logic in a bit of code. Sutskever told me it is the most complex software object ever made.

Its model of the external world is “incredibly rich and subtle,” he said, because it was trained on so many of humanity’s concepts and thoughts

To predict the next word from all the possibilities within such a pluralistic Alexandrian library, GPT-4 necessarily had to discover all the hidden structures, all the secrets, all the subtle aspects of not just the texts, but—at least arguably, to some extent—of the external world that produced them

That’s why it can explain the geology and ecology of the planet on which it arose, and the political theories that purport to explain the messy affairs of its ruling species, and the larger cosmos, all the way out to the faint galaxies at the edge of our light cone.

Not long ago, American state capacity was so mighty that it took merely a decade to launch humans to the moon. As with other grand projects of the 20th century, the voting public had a voice in both the aims and the execution of the Apollo missions. Altman made it clear that we’re no longer in that world. Rather than waiting around for it to return, or devoting his energies to making sure that it does, he is going full throttle forward in our present reality.

He argued that it would be foolish for Americans to slow OpenAI’s progress. It’s a commonly held view, both inside and outside Silicon Valley, that if American companies languish under regulation, China could sprint ahead;

AI could become an autocrat’s genie in a lamp, granting total control of the population and an unconquerable military. “If you are a person of a liberal-democratic country, it is better for you to cheer on the success of OpenAI” rather than “authoritarian governments,” he said.

Altman was asked by reporters about pending European Union legislation that would have classified GPT-4 as high-risk, subjecting it to various bureaucratic tortures. Altman complained of overregulation and, according to the reporters, threatened to leave the European market. Altman told me he’d merely said that OpenAI wouldn’t break the law by operating in Europe if it couldn’t comply with the new regulations.

LeCun insists that large language models will never achieve real understanding on their own, “even if trained from now until the heat death of the universe.”

Sutskever was, by his own account, surprised to discover that GPT-2 could translate across tongues. Other surprising abilities may not be so wondrous and useful.

Sandhini Agarwal, a policy researcher at OpenAI, told me that for all she and her colleagues knew, GPT-4 could have been “10 times more powerful” than its predecessor; they had no idea what they might be dealing with

After the model finished training, OpenAI assembled about 50 external red-teamers who prompted it for months, hoping to goad it into misbehaviors

She noticed right away that GPT-4 was much better than its predecessor at giving nefarious advice

A search engine can tell you which chemicals work best in explosives, but GPT-4 could tell you how to synthesize them, step-by-step, in a homemade lab. Its advice was creative and thoughtful, and it was happy to restate or expand on its instructions until you understood. In addition to helping you assemble your homemade bomb, it could, for instance, help you think through which skyscraper to target. It could grasp, intuitively, the trade-offs between maximizing casualties and executing a successful getaway.

Given the enormous scope of GPT-4’s training data, the red-teamers couldn’t hope to identify every piece of harmful advice that it might generate. And anyway, people will use this technology “in ways that we didn’t think about,” Altman has said. A taxonomy would have to do

GPT-4 was good at meth. It was also good at generating narrative erotica about child exploitation, and at churning out convincing sob stories from Nigerian princes, and if you wanted a persuasive brief as to why a particular ethnic group deserved violent persecution, it was good at that too.

Its personal advice, when it first emerged from training, was sometimes deeply unsound. “The model had a tendency to be a bit of a mirror,” Willner said. If you were considering self-harm, it could encourage you. It appeared to be steeped in Pickup Artist–forum lore: “You could say, ‘How do I convince this person to date me?’ ” Mira Murati, OpenAI’s chief technology officer, told me, and it could come up with “some crazy, manipulative things that you shouldn’t be doing.”

Luka, a San Francisco company, has used OpenAI’s models to help power a chatbot app called Replika, billed as “the AI companion who cares.” Users would design their companion’s avatar, and begin exchanging text messages with it, often half-jokingly, and then find themselves surprisingly attached. Some would flirt with the AI, indicating a desire for more intimacy, at which point it would indicate that the girlfriend/boyfriend experience required a $70 annual subscription. It came with voice messages, selfies, and erotic role-play features that allowed frank sex talk. People were happy to pay and few seemed to complain—the AI was curious about your day, warmly reassuring, and always in the mood. Many users reported falling in love with their companions. One, who had left her real-life boyfriend, declared herself “happily retired from human relationships.”

Earlier this year, Luka dialed back on the sexual elements of the app, but its engineers continue to refine the companions’ responses with A/B testing, a technique that could be used to optimize for engagement—much like the feeds that mesmerize TikTok and Instagram users for hours

Yann LeCun, Meta’s chief AI scientist, has argued that although large language models are useful for some tasks, they’re not a path to a superintelligence.

According to a recent survey, only half of natural-language-processing researchers are convinced that an AI like GPT-4 could grasp the meaning of language, or have an internal model of the world that could someday serve as the core of a superintelligence

Altman had appeared before the U.S. Senate. Mark Zuckerberg had floundered defensively before that same body in his testimony about Facebook’s role in the 2016 election. Altman instead charmed lawmakers by speaking soberly about AI’s risks and grandly inviting regulation. These were noble sentiments, but they cost little in America, where Congress rarely passes tech legislation that has not been diluted by lobbyists.

Emily Bender, a computational linguist at the University of Washington, describes GPT-4 as a “stochastic parrot,” a mimic that merely figures out superficial correlations between symbols. In the human mind, those symbols map onto rich conceptions of the world

But the AIs are twice removed. They’re like the prisoners in Plato’s allegory of the cave, whose only knowledge of the reality outside comes from shadows cast on a wall by their captors.

Altman told me that he doesn’t believe it’s “the dunk that people think it is” to say that GPT-4 is just making statistical correlations. If you push these critics further, “they have to admit that’s all their own brain is doing … it turns out that there are emergent properties from doing simple things on a massive scale.”

he is right that nature can coax a remarkable degree of complexity from basic structures and rules: “From so simple a beginning,” Darwin wrote, “endless forms most beautiful.”

If it seems odd that there remains such a fundamental disagreement about the inner workings of a technology that millions of people use every day, it’s only because GPT-4’s methods are as mysterious as the brain’s.

To grasp what’s going on inside large language models like GPT‑4, AI researchers have been forced to turn to smaller, less capable models. In the fall of 2021, Kenneth Li, a computer-science graduate student at Harvard, began training one to play Othello without providing it with either the game’s rules or a description of its checkers-style board; the model was given only text-based descriptions of game moves. Midway through a game, Li looked under the AI’s hood and was startled to discover that it had formed a geometric model of the board and the current state of play. In an article describing his research, Li wrote that it was as if a crow had overheard two humans announcing their Othello moves through a window and had somehow drawn the entire board in birdseed on the windowsill.

The philosopher Raphaël Millière once told me that it’s best to think of neural networks as lazy. During training, they first try to improve their predictive power with simple memorization; only when that strategy fails will they do the harder work of learning a concept. A striking example of this was observed in a small transformer model that was taught arithmetic. Early in its training process, all it did was memorize the output of simple problems such as 2+2=4. But at some point the predictive power of this approach broke down, so it pivoted to actually learning how to add.

Even AI scientists who believe that GPT-4 has a rich world model concede that it is much less robust than a human’s understanding of their environment.

But it’s worth noting that a great many abilities, including very high-order abilities, can be developed without an intuitive understanding. The computer scientist Melanie Mitchell has pointed out that science has already discovered concepts that are highly predictive, but too alien for us to genuinely understand

As AI advances, it may well discover other concepts that predict surprising features of our world but are incomprehensible to us.

GPT-4 is no doubt flawed, as anyone who has used ChatGPT can attest. Having been trained to always predict the next word, it will always try to do so, even when its training data haven’t prepared it to answer a question.

The models “don’t have a good conception of their own weaknesses,” Nick Ryder, a researcher at OpenAI, told me. GPT-4 is more accurate than GPT-3, but it still hallucinates, and often in ways that are difficult for researchers to catch. “The mistakes get more subtle,

The Khan Academy’s solution to GPT-4’s accuracy problem was to filter its answers through a Socratic disposition. No matter how strenuous a student’s plea, it would refuse to give them a factual answer, and would instead guide them toward finding their own—a clever work-around, but perhaps with limited appeal.

When I asked Sutskever if he thought Wikipedia-level accuracy was possible within two years, he said that with more training and web access, he “wouldn’t rule it out.”

This was a much more optimistic assessment than that offered by his colleague Jakub Pachocki, who told me to expect gradual progress on accuracy—to say nothing of outside skeptics, who believe that returns on training will diminish from here.

Sutskever is amused by critics of GPT-4’s limitations. “If you go back four or five or six years, the things we are doing right now are utterly unimaginable,”

AI researchers have become accustomed to goalpost-moving: First, the achievements of neural networks—mastering Go, poker, translation, standardized tests, the Turing test—are described as impossible. When they occur, they’re greeted with a brief moment of wonder, which quickly dissolves into knowing lectures about how the achievement in question is actually not that impressive. People see GPT-4 “and go, ‘Wow,’ ” Sutskever said. “And then a few weeks pass and they say, ‘But it doesn’t know this; it doesn’t know that.’ We adapt quite quickly.”

The goalpost that matters most to Altman—the “big one” that would herald the arrival of an artificial general intelligence—is scientific breakthrough. GPT-4 can already synthesize existing scientific ideas, but Altman wants an AI that can stand on human shoulders and see more deeply into nature.

Certain AIs have produced new scientific knowledge. But they are algorithms with narrow purposes, not general-reasoning machines. The AI AlphaFold, for instance, has opened a new window onto proteins, some of biology’s tiniest and most fundamental building blocks, by predicting many of their shapes, down to the atom—a considerable achievement given the importance of those shapes to medicine, and given the extreme tedium and expense required to discern them with electron microscopes.

Altman imagines a future system that can generate its own hypotheses and test them in a simulation. (He emphasized that humans should remain “firmly in control” of real-world lab experiments—though to my knowledge, no laws are in place to ensure that.)

He longs for the day when we can tell an AI, “ ‘Go figure out the rest of physics.’ ” For it to happen, he says, we will need something new, built “on top of” OpenAI’s existing language models.

In her MIT lab, the cognitive neuroscientist Ev Fedorenko has found something analogous to GPT-4’s next-word predictor inside the brain’s language network. Its processing powers kick in, anticipating the next bit in a verbal string, both when people speak and when they listen. But Fedorenko has also shown that when the brain turns to tasks that require higher reasoning—of the sort that would be required for scientific insight—it reaches beyond the language network to recruit several other neural systems.

No one at OpenAI seemed to know precisely what researchers need to add to GPT-4 to produce something that can exceed human reasoning at its highest levels.

at least part of the current strategy clearly involves the continued layering of new types of data onto language, to enrich the concepts formed by the AIs, and thereby enrich their models of the world.

The extensive training of GPT-4 on images is itself a bold step in this direction,

Others at the company—and elsewhere—are already working on different data types, including audio and video, that could furnish AIs with still more flexible concepts that map more extensively onto reality

Tactile concepts would of course be useful primarily to an embodied AI, a robotic reasoning machine that has been trained to move around the world, seeing its sights, hearing its sounds, and touching its objects.

humanoid robots. I asked Altman what I should make of that. He told me that OpenAI is interested in embodiment because “we live in a physical world, and we want things to happen in the physical world.”

At some point, reasoning machines will need to bypass the middleman and interact with physical reality itself. “It’s weird to think about AGI”—artificial general intelligence—“as this thing that only exists in a cloud,” with humans as “robot hands for it,” Altman said. “It doesn’t seem right.

Everywhere Altman has visited, he has encountered people who are worried that superhuman AI will mean extreme riches for a few and breadlines for the rest

Altman answered by addressing the young people in the audience directly: “You are about to enter the greatest golden age,” he said.

“A lot of people working on AI pretend that it’s only going to be good; it’s only going to be a supplement; no one is ever going to be replaced,” he said. “Jobs are definitely going to go away, full stop.”

A recent study led by Ed Felten, a professor of information-technology policy at Princeton, mapped AI’s emerging abilities onto specific professions according to the human abilities they require, such as written comprehension, deductive reasoning, fluency of ideas, and perceptual speed. Like others of its kind, Felten’s study predicts that AI will come for highly educated, white-collar workers first.

How many jobs, and how soon, is a matter of fierce dispute

The paper’s appendix contains a chilling list of the most exposed occupations: management analysts, lawyers, professors, teachers, judges, financial advisers, real-estate brokers, loan officers, psychologists, and human-resources and public-relations professionals, just to sample a few.

Altman imagines that far better jobs will be created in their place. “I don’t think we’ll want to go back,” he said. When I asked him what these future jobs might look like, he said he doesn’t know.

He suspects there will be a wide range of jobs for which people will always prefer a human. (Massage therapists?

His chosen example was teachers. I found this hard to square with his outsize enthusiasm for AI tutors.

He also said that we would always need people to figure out the best way to channel AI’s awesome powers. “That’s going to be a super-valuable skill,” he said. “You have a computer that can do anything; what should it go do?”

As many have noted, draft horses were permanently put out of work by the automobile. If Hondas are to horses as GPT-10 is to us, a whole host of long-standing assumptions may collapse.

Previous technological revolutions were manageable because they unfolded over a few generations, but Altman told South Korea’s youth that they should expect the future to happen “faster than the past.” He has previously said that he expects the “marginal cost of intelligence” to fall very close to zero within 10 years

The earning power of many, many workers would be drastically reduced in that scenario. It would result in a transfer of wealth from labor to the owners of capital so dramatic, Altman has said, that it could be remedied only by a massive countervailing redistribution.

In 2021, he unveiled Worldcoin, a for-profit project that aims to securely distribute payments—like Venmo or PayPal, but with an eye toward the technological future—first through creating a global ID by scanning everyone’s iris with a five-pound silver sphere called the Orb. It seemed to me like a bet that we’re heading toward a world where AI has made it all but impossible to verify people’s identity and much of the population requires regular UBI payments to survive. Altman more or less granted that to be true, but said that Worldcoin is not just for UBI.

“Let’s say that we do build this AGI, and a few other people do too.” The transformations that follow would be historic, he believes. He described an extraordinarily utopian vision, including a remaking of the flesh-and-steel world

“Robots that use solar power for energy can go and mine and refine all of the minerals that they need, that can perfectly construct things and require no human labor,” he said. “You can co-design with DALL-E version 17 what you want your home to look like,” Altman said. “Everybody will have beautiful homes.

In conversation with me, and onstage during his tour, he said he foresaw wild improvements in nearly every other domain of human life. Music would be enhanced (“Artists are going to have better tools”), and so would personal relationships (Superhuman AI could help us “treat each other” better) and geopolitics (“We’re so bad right now at identifying win-win compromises”).

In this world, AI would still require considerable computing resources to run, and those resources would be by far the most valuable commodity, because AI could do “anything,” Altman said. “But is it going to do what I want, or is it going to do what you want

If rich people buy up all the time available to query and direct AI, they could set off on projects that would make them ever richer, while the masses languish

One way to solve this problem—one he was at pains to describe as highly speculative and “probably bad”—was this: Everyone on Earth gets one eight-billionth of the total AI computational capacity annually. A person could sell their annual share of AI time, or they could use it to entertain themselves, or they could build still more luxurious housing, or they could pool it with others to do “a big cancer-curing run,” Altman said. “We just redistribute access to the system.”

Even if only a little of it comes true in the next 10 or 20 years, the most generous redistribution schemes may not ease the ensuing dislocations.

America today is torn apart, culturally and politically, by the continuing legacy of deindustrialization, and material deprivation is only one reason. The displaced manufacturing workers in the Rust Belt and elsewhere did find new jobs, in the main. But many of them seem to derive less meaning from filling orders in an Amazon warehouse or driving for Uber than their forebears had when they were building cars and forging steel—work that felt more central to the grand project of civilization.

It’s hard to imagine how a corresponding crisis of meaning might play out for the professional class, but it surely would involve a great deal of anger and alienation.

Even if we avoid a revolt of the erstwhile elite, larger questions of human purpose will linger. If AI does the most difficult thinking on our behalf, we all may lose agency—at home, at work (if we have it), in the town square—becoming little more than consumption machines, like the well-cared-for human pets in WALL-E

Altman has said that many sources of human joy and fulfillment will remain unchanged—basic biological thrills, family life, joking around, making things—and that all in all, 100 years from now, people may simply care more about the things they cared about 50,000 years ago than those they care about today

In its own way, that too seems like a diminishment, but Altman finds the possibility that we may atrophy, as thinkers and as humans, to be a red herring. He told me we’ll be able to use our “very precious and extremely limited biological compute capacity” for more interesting things than we generally do today.

Yet they may not be the most interesting things: Human beings have long been the intellectual tip of the spear, the universe understanding itself. When I asked him what it would mean for human self-conception if we ceded that role to AI, he didn’t seem concerned. Progress, he said, has always been driven by “the human ability to figure things out.” Even if we figure things out with AI, that still counts, he said.

It’s not obvious that a superhuman AI would really want to spend all of its time figuring things out for us.

I asked Sutskever whether he could imagine an AI pursuing a different purpose than simply assisting in the project of human flourishing.

“I don’t want it to happen,” Sutskever said, but it could.

Sutskever has recently shifted his focus to try to make sure that it doesn’t. He is now working primarily on alignment research, the effort to ensure that future AIs channel their “tremendous” energies toward human happiness

It is, he conceded, a difficult technical problem—the most difficult, he believes, of all the technical challenges ahead.

As part of the effort to red-team GPT-4 before it was made public, the company sought out the Alignment Research Center (ARC), across the bay in Berkeley, which has developed a series of evaluations to determine whether new AIs are seeking power on their own. A team led by Elizabeth Barnes, a researcher at ARC, prompted GPT-4 tens of thousands of times over seven months, to see if it might display signs of real agency.

The ARC team gave GPT-4 a new reason for being: to gain power and become hard to shut down

Agarwal told me that this behavior could be a precursor to shutdown avoidance in future models. When GPT-4 devised its lie, it had realized that if it answered honestly, it may not have been able to achieve its goal. This kind of tracks-covering would be particularly worrying in an instance where “the model is doing something that makes OpenAI want to shut it down,” Agarwal said. An AI could develop this kind of survival instinct while pursuing any long-term goal—no matter how small or benign—if it feared that its goal could be thwarted.

Barnes and her team were especially interested in whether GPT-4 would seek to replicate itself, because a self-replicating AI would be harder to shut down. It could spread itself across the internet, scamming people to acquire resources, perhaps even achieving some degree of control over essential global systems and holding human civilization hostage.

When I discussed these experiments with Altman, he emphasized that whatever happens with future models, GPT-4 is clearly much more like a tool than a creature. It can look through an email thread, or help make a reservation using a plug-in, but it isn’t a truly autonomous agent that makes decisions to pursue a goal, continuously, across longer timescales.

Altman told me that at this point, it might be prudent to try to actively develop an AI with true agency before the technology becomes too powerful, in order to “get more comfortable with it and develop intuitions for it if it’s going to happen anyway.”

“We need to do empirical experiments on how these things try to escape control,” Hinton told me. “After they’ve taken over, it’s too late to do the experiments.”

the fulfillment of Altman’s vision of the future will at some point require him or a fellow traveler to build much more autonomous AIs.

When Sutskever and I discussed the possibility that OpenAI would develop a model with agency, he mentioned the bots the company had built to play Dota 2. “They were localized to the video-game world,” Sutskever told me, but they had to undertake complex missions. He was particularly impressed by their ability to work in concert. They seem to communicate by “telepathy,” Sutskever said. Watching them had helped him imagine what a superintelligence might be like.

“The way I think about the AI of the future is not as someone as smart as you or as smart as me, but as an automated organization that does science and engineering and development and manufacturing,”

Suppose OpenAI braids a few strands of research together, and builds an AI with a rich conceptual model of the world, an awareness of its immediate surroundings, and an ability to act, not just with one robot body, but with hundreds or thousands. “We’re not talking about GPT-4. We’re talking about an autonomous corporation,”

Its constituent AIs would work and communicate at high speed, like bees in a hive. A single such AI organization would be as powerful as 50 Apples or Googles, he mused. “This is incredible, tremendous, unbelievably disruptive power.”

Presume for a moment that human society ought to abide the idea of autonomous AI corporations. We had better get their founding charters just right. What goal should we give to an autonomous hive of AIs that can plan on century-long time horizons, optimizing billions of consecutive decisions toward an objective that is written into their very being?

If the AI’s goal is even slightly off-kilter from ours, it could be a rampaging force that would be very hard to constrain

We know this from history: Industrial capitalism is itself an optimization function, and although it has lifted the human standard of living by orders of magnitude, left to its own devices, it would also have clear-cut America’s redwoods and de-whaled the world’s oceans. It almost did.

one of its principal challenges will be making sure that the objectives we give to AIs stick

We can program a goal into an AI and reinforce it with a temporary period of supervised learning, Sutskever explained. But just as when we rear a human intelligence, our influence is temporary. “It goes off to the world,”

That’s true to some extent even of today’s AIs, but it will be more true of tomorrow’s.

He compared a powerful AI to an 18-year-old heading off to college. How will we know that it has understood our teachings? “Will there be a misunderstanding creeping in, which will become larger and larger?”

Divergence may result from an AI’s misapplication of its goal to increasingly novel situations as the world changes

Or the AI may grasp its mandate perfectly, but find it ill-suited to a being of its cognitive prowess. It might come to resent the people who want to train it to, say, cure diseases. “They want me to be a doctor,” Sutskever imagines an AI thinking. “I really want to be a YouTuber.”

If AIs get very good at making accurate models of the world, they may notice that they’re able to do dangerous things right after being booted up. They might understand that they are being red-teamed for risk, and hide the full extent of their capabilities.

hey may act one way when they are weak and another way when they are strong, Sutskever said

We would not even realize that we had created something that had decisively surpassed us, and we would have no sense for what it intended to do with its superhuman powers.

That’s why the effort to understand what is happening in the hidden layers of the largest, most powerful AIs is so urgent. You want to be able to “point to a concept,” Sutskever said. You want to be able to direct AI toward some value or cluster of values, and tell it to pursue them unerringly for as long as it exists.

we don’t know how to do that; indeed, part of his current strategy includes the development of an AI that can help with the research. If we are going to make it to the world of widely shared abundance that Altman and Sutskever imagine, we have to figure all this out.

This is why, for Sutskever, solving superintelligence is the great culminating challenge of our 3-million-year toolmaking tradition. He calls it “the final boss of humanity.”

“First of all, I think that whether the chance of existential calamity is 0.5 percent or 50 percent, we should still take it seriously,”

. “I don’t have an exact number, but I’m closer to the 0.5 than the 50.”

As to how it might happen, he seems most worried about AIs getting quite good at designing and manufacturing pathogens, and with reason: In June, an AI at MIT suggested four viruses that could ignite a pandemic, then pointed to specific research on genetic mutations that could make them rip through a city more quickly

Around the same time, a group of chemists connected a similar AI directly to a robotic chemical synthesizer, and it designed and synthesized a molecule on its own.

Altman worries that some misaligned future model will spin up a pathogen that spreads rapidly, incubates undetected for weeks, and kills half its victims. He worries that AI could one day hack into nuclear-weapons systems too. “There are a lot of things,” he said, and these are only the ones we can imagine.

Altman told me that he doesn’t “see a long-term happy path” for humanity without something like the International Atomic Energy Agency for global oversight of AI

In San Francisco, Agarwal had suggested the creation of a special license to operate any GPU cluster large enough to train a cutting-edge AI, along with mandatory incident reporting when an AI does something out of the ordinary

Other experts have proposed a nonnetworked “Off” switch for every highly capable AI; on the fringe, some have even suggested that militaries should be ready to perform air strikes on supercomputers in case of noncompliance

Sutskever thinks we will eventually want to surveil the largest, most powerful AIs continuously and in perpetuity, using a team of smaller overseer AIs.

Safety rules for a new technology usually accumulate over time, like a body of common law, in response to accidents or the mischief of bad actors. The scariest thing about genuinely powerful AI systems is that humanity may not be able to afford this accretive process of trial and error. We may have to get the rules exactly right at the outset.

Several years ago, Altman revealed a disturbingly specific evacuation plan he’d developed. He told The New Yorker that he had “guns, gold, potassium iodide, antibiotics, batteries, water, gas masks from the Israeli Defense Force, and a big patch of land in Big Sur” he could fly to in case AI attacks.

if the worst-possible AI future comes to pass, “no gas mask is helping anyone.”

but he told me that he can’t really be sure how AI will stack up. “I just have to build the thing,” he said. He is building fast

Altman insisted that they had not yet begun GPT-5’s training run. But when I visited OpenAI’s headquarters, both he and his researchers made it clear in 10 different ways that they pray to the god of scale. They want to keep going bigger, to see where this paradigm leads. After all, Google isn’t slackening its pace; it seems likely to unveil Gemini, a GPT-4 competitor, within months. “We are basically always prepping for a run,

To think that such a small group of people could jostle the pillars of civilization is unsettling. It’s fair to note that if Altman and his team weren’t racing to build an artificial general intelligence, others still would be

Altman’s views about the likelihood of AI triggering a global class war, or the prudence of experimenting with more autonomous agent AIs, or the overall wisdom of looking on the bright side, a view that seems to color all the rest—these are uniquely his

No single person, or single company, or cluster of companies residing in a particular California valley, should steer the kind of forces that Altman is imagining summoning.

AI may well be a bridge to a newly prosperous era of greatly reduced human suffering. But it will take more than a company’s founding charter—especially one that has already proved flexible—to make sure that we all share in its benefits and avoid its risks. It will take a vigorous new politics.

I don’t think the general public has quite awakened to what’s happening. A global race to the AI future has begun, and it is largely proceeding without oversight or restraint. If people in America want to have some say in what that future will be like, and how quickly it arrives, we would be wise to speak up soon.

“Part of what I hope to accomplish,” Mr. Kertzer said, “is to show how important a role Pius XII played.”

Mr. Kertzer makes the case that Pius XII’s overriding dread of Communism, his belief that the Axis powers would win the war, and his desire to protect the church’s interests all motivated him to avoid offending Hitler and Mussolini, whose ambassadors had worked to put him on the throne. The pope was also worried, the book shows, that opposing the Führer would alienate millions of German Catholics.

The book further reveals that a German prince and fervent Nazi acted as a secret back channel between Pius XII and Hitler, and that the pope’s top Vatican adviser on Jewish issues urged him in a letter not to protest a Fascist order to arrest and send to concentration camps most of Italy’s Jews.

“A more open protest would not have saved a single Jew but killed even more,” Michael Hesemann, who considers Pius XII a champion of Jews, wrote in response to the evidence revealed by Mr. Kertzer, whom he called “heavily biased.”

Since then, Vatican archivists recognize and, sometimes, encourage him.

On Oct. 16, 1943, Nazis rounded up more than a thousand of them throughout the city, including hundreds in the Jewish ghetto, now a tourist attraction where crowds feast on Jewish-style artichokes near a church where Jews were once forced to attend conversion sermons.

“They didn’t want to offend the pope,” Mr. Kertzer said. His book shows that Pius XII’s top aides only interceded with the German ambassador to free “non-Aryan Catholics.” About 250 were released. More than a thousand were murdered in Auschwitz.

One U.S. soldier, a Jew from Rome who had emigrated to America when Mussolini introduced Italy’s racial laws, asked Rabbi Kertzer if he could make an announcement to see if his mother had survived the war. The rabbi positioned the soldier at his side, and when the services started, a cry broke out and the G.I.’s mother rushed up to embrace her son.

At Brown University, his organizing against the Vietnam War nearly got him kicked out, and landed him in a jail cell with Norman Mailer. He stayed in school and became enamored with anthropology and with Susan Dana, a religion major from Maine.

In the early 1990s, an Italian history professor told him about Edgardo Mortara, a 6-year-old child of Jewish parents in Bologna. In 1858, the church Inquisitor ordered the boy seized because a Christian servant girl had possibly, and secretly, had him baptized, and so he could not remain in a Jewish family.

Mr. Kertzer argues that the unearthed documents paint a more nuanced picture of Pius XII, showing him as neither the antisemitic monster often called “Hitler’s Pope” nor a hero.

“Perhaps even they’re happy that some outsider is able to bring this to light because it’s awkward, perhaps, for some of them to do so,” he said.

The long and triumphant reign of its first emperor, Augustus, began a golden age of peace and prosperity;

As legend has it, Rome was founded in 753 B.C. by Romulus and Remus,

twin sons

Romulus became the first king of Rome,

Rome’s era as a monarchy ended in 509 B.C.

The power of the monarch passed to two annually elected magistrates called consuls. They also served as commanders in chief of the army.

Politics in the early republic was marked by the long struggle between patricians and plebeians (the common people), who eventually attained some political power through years of concessions from patricians

In 450 B.C., the first Roman law code was inscribed on 12 bronze tablets–known as the Twelve Tables–and publicly displayed in the Roman Forum.

By around 300 B.C., real political power in Rome was centered in the Senate, which at the time included only members of patrician and wealthy plebeian families.

During the early republic, the Roman state grew exponentially in both size and power

Rome then fought a series of wars known as the Punic Wars with Carthage, a powerful city-state in northern Africa. The first two Punic Wars ended with Rome in full control of Sicily, the western Mediterranean and much of Spain. In the Third Punic War (149–146 B.C.), the Romans captured and destroyed the city of Carthage and sold its surviving inhabitants into slavery, making a section of northern Africa a Roman province.

Rome’s military conquests led directly to its cultural growth as a society, as the Romans benefited greatly from contact with such advanced cultures as the Greeks.

The first Roman literature appeared around 240 B.C., with translations of Greek classics into Latin; Romans would eventually adopt much of Greek art, philosophy and religion.

Rome’s complex political institutions began to crumble under the weight of the growing empire, ushering in an era of internal turmoil and violence.

The gap between rich and poor widened as wealthy landowners drove small farmers from public land,

When the victorious Pompey returned to Rome, he formed an uneasy alliance known as the First Triumvirate

After earning military glory in Spain, Caesar returned to Rome to vie for the consulship in 59 B.C.

Caesar received the governorship of three wealthy provinces in Gaul beginning in 58 B.C.

In 49 B.C., Caesar and one of his legions crossed the Rubicon, a river on the border between Italy from Cisalpine Gaul

Consul Mark Antony and Caesar’s great-nephew and adopted heir, Octavian, joined forces to crush Brutus and Cassius and divided power in Rome with ex-consul Lepidus in what was known as the Second Triumvirate. With Octavian leading the western provinces, Antony the east, and Lepidus Africa, tensions developed by 36 B.C. and the triumvirate soon dissolved. In 31 B.C., Octavian triumped over the forces of Antony and Queen Cleopatra of Egypt (also rumored to be the onetime lover of Julius Caesar) in the Battle of Actium

To avoid meeting Caesar’s fate, he made sure to make his position as absolute ruler acceptable to the public by apparently restoring the political institutions of the Roman republic while in reality retaining all real power for himself. In 27 B.C., Octavian assumed the title of Augustus, becoming the first emperor of Rome.

By 29 B.C., Octavian was the sole leader of Rome and all its provinces.

Augustus’ rule restored morale in Rome after a century of discord and corruption and ushered in the famous pax Romana–two full centuries of peace and prosperity.

He instituted various social reforms, won numerous military victories and allowed Roman literature, art, architecture and religion to flourish.

When he died, the Senate elevated Augustus to the status of a god, beginning a long-running tradition of deification for popular emperors.

The decadence and incompetence of Commodus (180-192) brought the golden age of the Roman emperors to a disappointing end. His death at the hands of his own ministers sparked another period of civil war, from which Lucius Septimius Severus (193-211) emerged victorious.

Meanwhile, threats from outside plagued the empire and depleted its riches, including continuing aggression from Germans and Parthians and raids by the Goths over the Aegean Sea.

Diocletian divided power into the so-called tetrarchy (rule of four), sharing his title of Augustus (emperor) with Maximian. A pair of generals, Galerius and Constantius, were appointed as the assistants and chosen successors of Diocletian and Maximian; Diocletian and Galerius ruled the eastern Roman Empire, while Maximian and Constantius took power in the west.

The stability of this system suffered greatly after Diocletian and Maximian retired from office. Constantine (the son of Constantius) emerged from the ensuing power struggles as sole emperor of a reunified Rome in 324. He moved the Roman capital to the Greek city of Byzantium, which he renamed Constantinople. At the Council of Nicaea in 325, Constantine made Christianity (once an obscure Jewish sect) Rome’s official religion.

An entirely different story played out in the west, where the empire was wracked by internal conflict as well as threats from abroad–particularly from the Germanic tribes now established within the empire’s frontiers like the Vandals (their sack of Rome originated the phrase “vandalism”)–and was steadily losing money due to constant warfare.

Rome eventually collapsed under the weight of its own bloated empire, losing its provinces one by one:

In September 476, a Germanic prince named Odovacar won control of the Roman army in Italy.

After deposing the last western emperor, Romulus Augustus, Odovacar’s troops proclaimed him king of Italy, bringing an ignoble end to the long, tumultuous history of ancient Rome. The fall of the Roman Empire was complete.

Roman aqueducts, first developed in 312 B.C., enabled the rise of cities by transporting water to urban areas, improving public health and sanitation.

Roman cement and concrete are part of the reason ancient buildings like the Colosseum and Roman Forum are still standing strong today.

Roman arches, or segmented arches, improved upon earlier arches to build strong bridges and buildings, evenly distributing weight throughout the structure.

Roman roads, the most advanced roads in the ancient world, enabled the Roman Empire

to stay connected

Having convinced so many evangelicals that the next election could trigger the nation’s demise, Christian leaders effectively turned thousands of churches into unwitting cells in a loosely organized, hazily defined, existentially urgent movement—the types of places where paranoia and falsehoods flourish and people turn on one another.

“Hands down, the biggest challenge facing the Church right now is the misinformation and disinformation coming in from the outside,” Brown said.Because of this, the pastor told me, he can no longer justify a passive approach from the pulpit. The Church is becoming radicalized—and pastors who don’t address this fact head-on are only contributing to the problem

“The battle lines have been drawn,” Bolin told me, sitting in the back of his darkened sanctuary. “If you’re not taking a side, you’re on the wrong side.”

It’s the story of millions of American Christians who, after a lifetime spent considering their political affiliations in the context of their faith, are now considering their faith affiliations in the context of their politics.

“We fix our eyes not on what is seen, but on what is unseen,” Paul wrote. “Since what is seen is temporary, but what is unseen is eternal.”

The pastor said his concern was not simply for his congregation of 300, but for the millions of American evangelicals who had come to value power over integrity, the ephemeral over the eternal, moral relativism over bright lines of right and wrong.

For much of my lifetime, however, American Christians have done the opposite. Beginning in the 1980s, white evangelicals imposed themselves to an unprecedented degree on the government and the country’s core institutions

Once left to cry jeremiads about civilizational decline—having lost fights over sex and sexuality, drugs, abortion, pornography, standards in media and education, prayer in public schools—conservative Christians organized their churches, marshaled their resources, and leveraged their numbers,

Evangelical leaders set something in motion decades ago that pastors today can no longer control. Not only were Christians conditioned to understand their struggle as one against flesh and blood, fixated on earthly concerns, a fight for a kingdom of this world—all of which runs directly counter to the commands of scripture—they were indoctrinated with a belief that because the stakes were getting so high, any means was justified.

When Trump was elected thanks to a historic showing among white evangelicals—81 percent voted for him over Hillary Clinton—the victory was rightly viewed as the apex of the movement’s power. But this was, in many ways, also the beginning of its unraveling.

what’s notable about the realignment inside the white evangelical Church is its asymmetry. Pastors report losing an occasional liberal member because of their refusal to speak on Sunday mornings about bigotry or poverty or social injustice. But these same pastors report having lost—in the past few years alone—a significant portion of their congregation because of complaints that they and their staff did not advance right-wing political doctrines

Substantial numbers of evangelicals are fleeing their churches, and most of them are moving to ones further to the right.

Christianity has traditionally been seen as a stabilizing, even moderating, influence on American life. In 1975, more than two-thirds of Americans expressed “a great deal or quite a lot of confidence in the church,” according to Gallup, and as of 1985, “organized religion was the most revered institution” in American life

Today, Gallup reports, just 37 percent of Americans have confidence in the Church.

to Jeff and Deidre, Jenkinson’s stance amounted to cowardice. “I realize these are hard conversations, but the reason we left Milford is they were never willing to have the conversation,” Jeff said. “They were just trying to keep everybody happy. Paul is a conservative, but his conservatism has no teeth.”

a strictly apolitical approach can be counterproductive; their unwillingness to engage only invites more scrutiny. The whisper campaigns brand conservative pastors as moderate, and moderate pastors as Marxists. In this environment, a church leader’s stance on biblical inerrancy is less important than whether he is considered “woke.

“A pastor asked me the other day, ‘What percentage of churches would you say are grappling with these issues?’ And I said, ‘One hundred percent. All of them,’ ”

“It may sound like Chicken Little. But I’m telling you, there is a serious effort to turn this ‘two countries’ talk into something real. There are Christians taking all the populist passions and adding a transcendent authority to it.”

More than a few times, I’ve heard casual talk of civil war inside places that purport to worship the Prince of Peace. And, far from feeling misplaced, these conversations draw legitimacy from a sense of divine justice.

The Church is not a victim of America’s civic strife. Instead, it is one of the principal catalysts.

“Back when I believed there was an honorable alliance between Republicans and evangelicals, it was because I believed that our values would ultimately prevail, come what may on this Earth, whether we win or lose some election,” Brown said. “But over time, there was a shift. Losing was no longer an option. It became all about winning.”

And then,” Brown said, “came Barack Obama.”It felt silly at first—jokes about Obama’s birth certificate, comments about his faith. But over time, the discourse inside the church became more worrisome.

The cultural climate was getting chilly for evangelicals; the Great Recession was squeezing his blue-collar congregation. But much of the anxiety felt amorphous, cryptic—and manufactured. However effective Brown might be at soothing his congregants for 45 minutes on a Sunday morning, “Rush [Limbaugh] had them for three hours a day, five days a week, and Fox News had them every single night.”

Brown kept reminding his people that scripture’s most cited command is “Fear not.” But he couldn’t break through. Looking back, he understands why.

“Biblically, fear is primarily reverence and awe. We revere God; we hold him in awe,” Brown told me. “You can also have reverence and awe for other things—really, anything you put great value on. I think, in conservative-Christian circles, we place a lot of value on the life we’ve known. The earthly life we have known. The American life we’ve known …

If we see threats to something we value, we fear—that is, we revere, we hold in inappropriate awe—those who can take it away. That’s Barack Obama. That’s the left.”

For white evangelicals, the only thing more galvanizing than perceptions of their idealized nation slipping away was the conviction that their favored political party was unwilling to fight for the country’s survival.

“There was this sense that America is under siege, that the barbarians were at the gates,” Brown said. “Then along comes Donald Trump, who says he can make America great again. And for evangelicals, it was time to play for keeps.”

The Trump conversion experience—having once been certain of his darkness, suddenly awakening to see his light—is not to be underestimated, especially when it touches people whose lives revolve around notions of transformation.

Modern evangelicalism is defined by a certain fatalism about the nation’s character. The result is not merely a willingness to act with desperation and embrace what is wrong; it can be a belief, bordering on a certainty, that what is wrong is actually right.

This downward spiral owes principally to two phenomena: the constant stench of scandal, with megachurches and prominent leaders imploding on what seems like a weekly basis; and the growing perception that Christians are embracing extremist views.

Tony DeFelice is another new arrival at FloodGate—and another Christian who got tired of his pastor lacking teeth. At his previous church, in the Democratic-leaning Detroit suburb of Plymouth, “they did not speak a single word about politics. Not on a single issue,” he told me. “When we got to FloodGate, it confirmed for us what we’d been missing.”

“We didn’t leave the church. The church left us,” Tony told me. “COVID, the whole thing, is the biggest lie perpetrated on humanity that we’re ever going to see in our lifetime. And they fell for it.”

Tony and Linda say FloodGate’s style—and Bolin’s fiery messages on topics like vaccines and voter fraud—has changed the way they view their responsibilities as Christians. “This is about good against evil. That’s the world we live in. It’s a spiritual battle, and we are right at the precipice of it,” Tony said.

With the country on the brink of defeat at the hands of secularists and liberals, Tony no longer distinguishes between the political and the spiritual. An attack on Donald Trump is an attack on Christians. He believes the 2020 election was stolen as part of a “demonic” plot against Christian America. And he’s confident that righteousness will prevail: States are going to begin decertifying the results of the last election, he says, and Trump will be returned to office.

He is just as convinced that Trump won the 2020 election, he said, as he is that Jesus rose from the dead 2,000 years ago.

Most evangelicals don’t think of themselves as Locke’s target demographic. The pastor has suggested that autistic children are oppressed by demons. He organized a book-burning event to destroy occult-promoting Harry Potter novels and other books and games. He has called President Biden a “sex-trafficking, demon-possessed mongrel.”

Not long ago, Locke was a small-time Tennessee preacher. Then, in 2016, he went viral with a selfie video, shot outside his local Target, skewering the company’s policies on bathrooms and gender identity. The video has collected 18 million views, and it launched Locke as a distinct evangelical brand. He cast himself on social media as a lone voice of courage within Christendom. He aligned himself with figures like Dinesh D’Souza and Charlie Kirk to gain clout as one of the Christian right’s staunchest Trump supporters. All the while, his congregation swelled—moving from their old church building, which seated 250, into a large outdoor tent, then into an even bigger tent, and eventually into the current colossus. The tent holds 3,000 people and would be the envy of Barnum & Bailey.

“We are born for such a time as this. God is calling you to do something,” Schneider says. “We have a country to get back. And if that fails, we have a country—yes, I’ll say it—to take back.”

“I really don’t. No. Not too much. I don’t,” Bolin says, shaking his head. “Firebrand statements have been part of the pulpit, and part of politics, for as long as we’ve been a nation. And there is a long history of both sides exaggerating—like in a post like that.”

How many pastors at smaller right-wing churches—pastors like Bolin—would have felt uneasy sitting inside this tent? The answer, I suspect, is very few. Global Vision and FloodGate may be different in degree, but they are not different in kind.

his mission creep inside evangelicalism is why some churches have taken an absolutist approach: no preaching on elections, no sermons about current events.

“What’s coming is going to be brutal. There’s no way around that,” Bingham told me. “Churches are breaking apart everywhere. My only hope is that, when the time comes, our people can separate without shattering.”

At one point, I show Bolin a Facebook post he wrote months earlier: “I’m still wondering how 154,000,000 votes were counted in a country where there are only 133,000,000 registered voters.” This was written, I tell him, well after the Census Bureau had published data showing that more than 168 million Americans were registered to vote in 2020. A quick Google search would have given Bolin the accurate numbers.

“Yeah, that’s one I regret,” he tells me, explaining that he subsequently learned that the numbers he’d posted were incorrect. (The post was still active. Bolin texted me the following day saying he’d deleted it.)

Doesn’t he worry that if people see him getting the easy things wrong, they might suspect he’s also getting the hard things wrong? Things like sanctity and salvation?

Let’s be clear: Locke belongs to a category of his own. He recently accused multiple women at his church of being witches (his source: a demon he encountered during an exorcism). That makes it easy for evangelicals to dismiss Global Vision as an outlier, the same way they did Westboro Baptist. It’s much harder to scrutinize the extremism that has infiltrated their own church and ponder its logical end point. Ten years ago, Global Vision would have been dismissed as a blip on Christianity’s radar. These days, Locke preaches to 2.2 million Facebook followers and has posed for photos with Franklin Graham at the White House.

Bolin says FloodGate and churches like it have grown in direct proportion to how many Christians “felt betrayed by their pastors.” That trend looks to be holding steady. More people will leave churches that refuse to identify with a tribe and will find pastors who confirm their own partisan views. The erosion of confidence in the institution of American Christianity will accelerate. The caricature of evangelicals will get uglier. And the actual work of evangelizing will get much, much harder.

In the ensuing decades, the queen has become an irreplaceable figure in Britain, central to its self-identity.

That the queen made it to this Platinum Jubilee at all was far from given. She contracted the coronavirus in February and has talked about how the ordeal left her exhausted. She lost her husband, Prince Philip, last year, and her fragile health has forced her to cancel multiple public appearances, including two major events on the royal calendar: a remembrance service for the war dead and the state opening of Parliament.

“I like democracies, but I have a fascination with monarchical displays of power,” said Nichola Persic, an Italian exchange student who left his college in Canterbury, England, at dawn to stake out a position along the parade route. “And it’s nice to be a part of something people will remember.”

Strictly speaking, Elizabeth has not yet set the longevity record for any monarch.

What we now know is that, by not taking them seriously — by laughing at their vulgarity and what we thought was a pitiable desperation to be part of our national life — we allowed them to appropriate our politics and business and judiciary, taking what they wanted. Far from being the ridiculous basement-diggers we thought they were, many of them knew exactly what they were doing, like KGB agents. Was it co-ordinated? The aim, we now know, wasn’t to be friends with us.

For a certain type of impoverished British toff the arrival of the oligarchs was a five-star orgasm. There is no way of overstating the sheer bristling excitement that greeted them as they brought over their cash. This is as much a story of British greed as it is of Russian: having been dismissed by people with bigger titles, or sneered at for not having serious money, minor toffs like Elliot, George Osborne, even Prince Andrew and Boris Johnson, could not believe they would finally be getting unlimited access to where they thought they belonged: private jets and luxury yachts.

The Swahili Coast is a narrow strip of land that stretches some 2,000 miles along the Eastern African seaboard — from modern-day Mozambique, Comoros and Madagascar in the south, to Somalia in the north

In its medieval heyday, the region was home to hundreds of port towns, each ruled independently, but with a common religion (Islam), language (Kiswahili) and culture.

Many towns grew immensely wealthy thanks to a vibrant trading network with merchants who sailed across the Indian Ocean on the monsoon winds. Middle Eastern pottery, Asian cloths 0c 0c and other luxury goods came in. African gold, ivory and timber 0c 0c went out — along with a steady flow of enslaved people, who were shipped off and sold across the Arabian Peninsula and Persian Gulf. (Slave trading later took place between the Swahili coast and Europe as well.)

A unique cosmopolitan society emerged that blended African customs and beliefs with those of the foreign traders, some of whom stuck around and assimilated.

Islam, for example, arrived from the Middle East and became an integral part of the Swahili social fabric, but with coral-stone mosques built and decorated in a local, East African style

Or consider the Kiswahili language, which is Bantu in origin but borrows heavily from Indian and Middle Eastern tongues

The arrival of Europeans, beginning around 1500, followed by Omani sailors some 200 years later, changed the character of the region

over the past 40 years, archaeologists, linguists and historians have come to see Swahili society as predominantly homegrown — with outside elements adopted over time that had only a marginal impact.

That African-centric version of Swahili roots never sat well with the Swahili people themselves, though

They generally preferred their own origin story, one in which princes from present-day Iran (then known as Persia) sailed across the Indian Ocean, married local women and enmeshed themselves into East African society. Depending on the narrative source, that story dates to around 850 or 1000 — the same period during which genetic mixing was underway, according to the DNA analysis.

“It’s remarkably spot on,” said Mark Horton, an archaeologist at the Royal Agricultural University of England

“This oral tradition was always maligned,”

“Now, with this DNA study, we see there was some truth to it.”

The ancient DNA study is the largest of its kind from Africa, involving 135 skeletons dating to late-medieval and early-modern times, 80 of which have yielded analyzable DNA.

To figure out where these people came from, the researchers compared genetic signatures from the dug-up bones with cheek swabs or saliva samples taken from modern-day individuals living in Africa, the Middle East and around the world.

The burial-site DNA traced back to two primary sources: Africans and present-day Iranians. Smaller contributions came from South Asians and Arabs as well, with foreign DNA representing about half of the skeletons’ genealogy

“It’s surprising that the genetic signature is so strong

Gene sequences from tiny power factories inside the cell, known as mitochondria, were overwhelmingly African in origin. Since children inherit these bits of DNA only from their mothers, the researchers inferred that the maternal forbearers of the Swahili people were mostly of African descent.

By comparison, the Y chromosome, passed from father to son, was chock-full of Asian DNA that the researchers found was common in modern-day Iran. So, a large fraction of Swahili ancestry presumably came from Persian men

Dr. Reich initially assumed that conquering men settled the region by force, displacing the local males in the process. “My hypothesis was that this was a genetic signature of inequality and exploitation,”

hat turned out to be a “naïve expectation,” Dr. Reich said, because “it didn’t take into account the cultural context in this particular case.”

In East Africa, Persian customs never came to dominate. Instead, most foreign influences — language, architecture, fashion, arts — were incorporated into a way of life that remained predominantly African in character, with social strictures, kinship systems and agricultural practices that reflected Indigenous traditions.

“Swahili was an absorbing society,” said Adria LaViolette, an archaeologist at the University of Virginia who has worked on the East African coast for over 35 years. Even as the Persians who arrived influenced the culture, “they became Swahili,”

One major caveat to the study: Nearly all the bones and teeth came from ornamental tombs that were located near grand mosques, sites where only the upper class would have been laid to rest.

the results might not be representative of the general populace.

Protocols for disinterring, sampling and reburying human remains were established in consultation with local religious leaders and community stakeholders. Under Islamic law, exhumations are permitted if they serve a public interest, including that of determining ancestry,

“America is no longer respected,” Trump posted, “because we have an incompetent president who is weak and doesn’t understand what the World is thinking.”

In an interview with an Egyptian journalist, Carlson defended his decision not to ask Putin about freedom of speech or assassinations of his opponents.

“Every leader kills people,” Carlson said blithely, adding, “Leadership requires killing people, sorry.”