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“We’re seeing that where cities have invested in transit, their unemployment rates have dropped, and employment is going up because people can get there,”

The system is also being increasingly used during off-peak times, especially by younger people, who are encouraged by promotions like free transfers between subways and buses and by a decline in crime in the city

In Denver, the Regional Transit District topped 101 million passenger trips last year, its most ever, helped by an improving economy and an increasing acceptance that public transit is an attractive alternative to the automobile

Nationally, taxpayers are increasingly willing to finance public transportation improvements, Mr. Melaniphy said.In the last two years, more than 70 percent of transit tax initiatives have succeeded

the new data were the latest indication of changing consumer preferences as a result of increasing urbanization, an aging population, and environmental and health concerns.“A lot of people would prefer to drive less and rely more on walking, cycling and public transit, provided that those are high-quality options,

Thatcher said something else that's particularly interesting in this discussion. She said there's no such thing as society. There are only individuals and families. And so what we begin to see is the emergence of a kind of ethic, a survival of the fittest ethic that legitimates the most incredible forms of cruelty, that seems to suggest that freedom in this discourse of getting rid of society, getting rid of the social-- that discourse is really only about self-interest, that possessive individualism is now the only virtue that matters. So freedom, which is essential to any notion of democracy, now becomes nothing more than a matter of pursuing your own self interests

I want to echo something that FDR once said, When he said that, you know, you not only have to have personal freedoms and political freedoms, the right to vote the right to speak, you have to have social freedom. You have to have the freedom from want, the freedom from poverty, the freedom from-- that comes with a lack of health care.

How do you get a discourse governing the country that seems to suggest that anything public, public health, public transportation, public values, you know, public engagement is a pathology?

Individualize the social, which means that all problems, if they exist, rest on the shoulders of individuals.

that the government-- the larger social order, the society has no responsibility whatsoever so that-- you often hear this, I mean, if there--I mean, if you have an economic crisis caused by the hedge fund crooks, you know and millions of people are put out of work and they're all lining up for unemployment, what do we hear in the national media? We hear that maybe they don't know how to fill out unemployment forms, maybe it's about character.

I think that what we haven't seen before is an attack on the social contract, Bill, that is so overwhelming, so dangerous in the way in which its being deconstructed and being disassembled that you now have as a classic example, you have a whole generation of young people who are now seen as disposable.

young people can't turn anywhere without in some way being told that the only obligation of citizenship is to shop, is to be a consumer. You can't walk on a college campus today and walk into the student union and not see everybody represented there from the local banks to Disneyland to local shops, all selling things.

Where are the public spaces for young people other learn a discourse that's not commodified, to be able to think about non-commodifiable values like trust, justice, honesty, integrity, caring for others, compassion. Those things, they're just simply absent, they're not part of those public spheres because those spheres have been commodified.

Zombie Politics and Culture in the Age of Casino Capitalism.” Why that metaphor, zombie politics? HENRY GIROUX: Because it's a politics that's informed by the machinery of social and civil death.

It's a death machine. It's a death machine because in my estimation it does everything it can to kill any vestige of a robust democracy. It turns people into zombies, people who basically are so caught up with surviving that they have no-- they become like the walking dead, you know, they lose their sense of agency-

This casino capitalism as we talk about it, right, one of the things that it does that hasn't been done before, it doesn't just believe it can control the economy. It believes that it can govern all of social life. That's different. That means it has to have its tentacles into every aspect of everyday life. Everything from the way schools are run to the way prisons are outsourced to the way the financial services are run to the way in which people have access to health care, it's an all-encompassing, it seems to me, political, cultural, educational apparatus.

as the social state is crippled, as the social state is in some way robbed, hollowed out and robbed of its potential and its capacities, what takes its place? The punishing state takes its place. You get this notion of incarceration, this, what we call the governing through crime complex where governance now has been ceded to corporations who largely are basically about benefiting the rich, the ultra-rich, the big corporations and allowing the state to exercise its power in enormously destructive and limited ways.

we kill the imagination by suggesting that the only kind of rationality that matters, the only kind of learning that matters is utterly instrumental, pragmatist. So what we do is we collapse education into training, and we end up suggesting that not knowing much is somehow a virtue. And I'll and I think what's so disturbing about this is not only do you see it in the popular culture with the lowest common denominator now drives that culture, but you also see it coming from politicians who actually say things that suggest something about the policies they'd like to implement.

Rick Santorum is not-- is kind of a, you know, an obvious figure. But when he stands up in front of a body of Republicans and he says, the last thing we need in the Republican party are intellectuals. And I think it's kind of a template for the sort of idiocy that increasingly now dominates our culture.

I think intellectuals are-- there are two ways we can describe intellectuals. In the most general sense, we can say, "Intellectuals are people who take pride in ideas. They work with ideas." I mean, they believe that ideas matter. They believe that there's no such thing as common sense, good sense or bad sense, but reflective sense.

how we learn what we learn and what we do with the knowledge that we have is not just for ourselves. It's for the way in which we can expand and deepen the very processes of democracy in general, and address those problems and anti-democratic forces that work against it.

I think the real issue here is, you know, what would it mean to begin to do at least two things?

one is to develop cultural apparatuses that can offer a new vocabulary for people, where questions of freedom and justice and the problems that we're facing can be analyzed in ways that reach mass audiences in accessible language. We have to build a formative culture

Secondly, we've got to overcome the fractured nature of these movements. I mean the thing that plagues me about progressives in the left and liberals is they are all sort of ensconced in these fragmented movements

here's the contradiction I hear in what you're saying. That if you write about a turning toward despair and cynicism in politics. Can you get movements out of despair and cynicism? Can you get people who will take on the system when they have been told that the system is so powerful and so overwhelming that they've lost their, as you call it, moral and political agency?

to be different than it is now, rather than romanticizing hope and turning it into something Disney-like, right, it really has to involve the hard work of A) recognizing the structures of domination that we have to face, B) organizing collectively and somehow to change those, and C) believing it can be done, that it's worth the struggle.

I refuse to become complicitous. I refuse to say--I refuse to be alive and to watch institutions being handed over to right wing zealots. I refuse to be alive and watch the planet be destroyed. I mean, when you mentioned-- you talk about the collective imagination, you know, I mean that imagination emerges when people find strength in collective organizations, when they find strength in each other.

He praised Republican Gov. Mike DeWine for taking bold steps early, including declaring a state of emergency when there were only three reported cases on March 9, four days before the federal government followed suit. Thirty states had declared a state of emergency by the time Trump declared a national emergency on March 13.

“They didn’t move fast enough,” said Crossley, of the federal government. “And what you’ve seen is more local and state officials sounding the alarm. “We needed a national response to this event.”

With seven reported infections in the United States by the end of the day, Health and Human Services Secretary Alex Azar declared a public health emergency on Jan. 31, and Trump announced strict travel restrictions, barring most foreign visitors coming from China. He also imposed the nation’s first mandatory quarantine in 50 years.

Officials spent three hours war-gaming how they would respond. The drill prompted the state to send 300 employees home early to test their remote work capability. That unmasked a serious problem: A quarter of the team could not perform their jobs at home because they needed access to secure computer systems.

Then he heard the news: The United States had identified its first case of person-to-person transmission involving someone who had not traveled overseas. Also, the World Health Organization classified the coronavirus as a public health emergency of international concern.

Chicago Jan. 31: 9,927 cases worldwide, seven cases in the United States

Tallahassee Jan. 30: 8,234 cases worldwide, five cases in the United States

“We are concerned about our public health system’s capacity to implement these measures, recognizing they may inadvertently distract us from our ongoing tried-and-true efforts to isolate confirmed cases and closely monitor their contacts,” according to a previously unreported Feb. 6 letter. “We also worry about the potential to again overwhelm laboratory capacity, recognizing that national capacity has not been adequate to quickly test our highest-risk individuals.”

“In the first few sets of conversations, we were not hearing answers to those questions,” Lightfoot, a Democrat, said of her talks with federal officials. “It was kind of like, either silence, or ‘Do the best you can,’ which was obviously not acceptable.”

she drafted a letter to Trump on behalf of the mayors from Detroit, Los Angeles, New York, San Francisco and Seattle. They insisted on clear, written directions from the federal government, according to the letter, and worried about diverting health-care resources during flu season, when hospitals were already stretched.

Americans who had visited China’s Hubei province would be forced to quarantine for 14 days, and those who visited other parts of China would be screened for symptoms and asked to isolate themselves for two weeks. Chicago Mayor Lori Lightfoot was caught off guard. The directive came with little guidance. Where were local governments supposed to quarantine the travelers? What would they do if someone refused to quarantine? Who was going to pay for the resources needed to quarantine people?

Mount Kisco, N.Y. Feb. 9: 40,150 cases worldwide, 11 cases in the United States

Weeks earlier, Amler had started fitting employees for personal protective equipment and training them on how to use the gear. In January, she watched what was happening in Wuhan with growing concern: “It seemed impossible that it wouldn’t eventually spill out of China into the rest of the world.”

San Francisco Feb. 24: 79,561 cases worldwide, 51 cases in the United States

Trump continued to reassure the public that there was little to worry about. On Feb. 24, he tweeted, “The Coronavirus is very much under control in the USA.”

But Colfax and his public health staff in San Francisco were seeing something else when they studied the “curves” of the pandemic — graphs showing how many cases were reported in other regions over time.

Wuhan’s curve was climbing exponentially, and other countries, such as Italy, were seeing soaring infection rates as well. Colfax noticed that in every infected region, officials were more and more aggressive about restricting their populations

“It became apparent that no jurisdiction that was where the virus was being introduced, was sort of, in retrospect, thinking, ‘Oh, we overreacted,’ ” Colfax said.

On Feb. 24, Colfax and other health officials assembled their research and met with Mayor London Breed. They made an urgent request: Declare a state of emergency

by the end of the meeting, Breed was convinced. They needed to declare a state of emergency so that they could tap into state and federal funds and supplies, and redeploy city employees. The next day, San Francisco became one of the first major cities in the United States to do so, after Santa Clara and San Diego counties did earlier in the month.

It would take another 17 days, as the virus infected people in nearly every state, before Trump declared a national emergency.

In New Orleans, officials moved ahead with Mardi Gras festivities in late February that packed people into the streets. It was a decision the mayor would later defend as coronavirus cases traced to the celebration piled up.

On Feb. 27, at a White House reception, Trump predicted that the coronavirus would disappear. “Like a miracle,” he said.

“No red flags were given,” by the federal government, New Orleans Mayor LaToya Cantrell, a Democrat, later said in a CNN interview. “If we were given clear direction, we would not have had Mardi Gras, and I would’ve been the leader to cancel it.

San Antonio Feb. 29: 86,011 cases worldwide, 68 cases in the United States

The last day of February marked a major turning point for the coronavirus in the United States: The first American who had been diagnosed with the illness died

In a Saturday news conference, Trump described the patient from the Seattle area as a “medically high-risk” person who had died overnight. A CDC official said that the man, who was in his 50s, had not traveled recently — another sign that the virus was snaking through local communities.

During the announcement, Trump asked the media to avoid inciting panic as there was “no reason to panic at all.”

“We’re doing really well,” he said. “Our country is prepared for any circumstance. We hope it’s not going to be a major circumstance, it’ll be a smaller circumstance. But whatever the circumstance is, we’re prepared.”

That same afternoon in San Antonio, the CDC mistakenly released a woman from quarantine who was infected. The woman was one of dozens of evacuees from Wuhan whom the federal government had brought to a nearby military base and then isolated at the Texas Center for Infectious Disease.

the woman had been dropped off at a Holiday Inn near the San Antonio airport and headed to a mall where she shopped at Dillard’s, Talbots and Swarovski and ate in the food court.

As local officials learned details about the infected woman’s movements and how she had been transported at 2 a.m. back to the Texas Center for Infectious Disease, they waited for the CDC to issue a statement. Hours passed, but they heard nothing. “They were like quiet little mouses,” Wolff said. “They were all scared to talk because I think they felt they were going to get in trouble with the president of the United States because he was saying there was not a problem.”

The next day, San Antonio officials declared a public health emergency and filed a lawsuit to prevent the CDC from releasing the 120 people in quarantine until they were confirmed negative for the virus or completed a 28-day quarantine. A judge denied the motion, but the CDC agreed that evacuees must have two consecutive negative tests that are 24 hours apart and that no one with a pending test can be released.

In Oklahoma City, the coronavirus became a reality for Mayor David Holt, a Republican, when the NBA abruptly canceled a Thunder basketball game after a Utah Jazz player tested positive on March 11. Until then, Holt said, the coronavirus felt “distant on many levels.”

Mount Kisco, N.Y. March 3: 92,840 cases worldwide, 118 cases in the United States

Within days, state authorities set up an emergency operations center in New Rochelle and created a one-mile containment zone. Inside the perimeter, schools and community centers shuttered and large gatherings were prohibited.

Through it all, local officials faced backlash from some community leaders who thought they were overreacting.

San Francisco March 5: 97,886 cases worldwide, 217 cases in the United States

Days after San Francisco’s emergency declaration, Breed stood in front of news cameras to announce the city’s first two cases of the coronavirus.

They were not related, had not traveled to any coronavirus-affected areas and had no contact with known coronavirus patients: It was spreading in the community.

By then, Miami Mayor Francis X. Suarez, a Republican, had announced the cancellation of the Ultra Music festival, a three-day celebration that draws about 50,000 people. Miami was the first city to call off a major music festival, and Suarez faced tremendous backlash

When he tried to order more masks, none were immediately available. By then the entire country was scrambling for protective gear.

Days later, Holt huddled on the phone with other leaders from the United States Conference of Mayors. For about 20 minutes, Seattle Mayor Jenny Durkan, a Democrat, detailed the crisis seizing her city

“She sounded like the main character in a Stephen King novel,” Holt recalled. “She had hundreds of cases, she had dozens of deaths.”

“Any struggles that we’re having, whether it be testing or other issues, or even just convincing our public of the seriousness of the matter, there are some roots back to the time period in January and February, when not all national leadership was expressing how serious this was,” Holt said.

While the mayors held their conference call on March 13, Trump declared a national emergency to combat the coronavirus.

By then, Suarez had tested positive for the coronavirus and was in quarantine. As of Sunday, he remained in isolation, leading the city by phone calls and video chats. He wanted to stop flights into Miami and the governor to order residents to shelter in place as California and other states had already done.

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.

Specifically, the senator has become convinced that the push to register every young American for the draft, women included, is in fact a stalking horse for Big Government’s push to establish a system of compulsory national service.

One is the move (championed by Senator John McCain) to open the draft to women. The other aims to create a “National Commission on Military, National, and Public Service” that would “consider methods to increase participation in military, national, and public service in order to address national security and other public service needs of the nation.”

Today, more funding is made available to create additional Americorps jobs; tomorrow, 18-year-olds are being forced to man soup kitchens in the name of patriotism.

one of Oodi’s architects, has described the new library as “an indoor town square” – a far cry from the stereotypical view of libraries as stale and silent spaces. “[Oodi] has been designed to give citizens and visitors a free space to actively do what they want to do – not just be a consumer or a flâneur,”

Oodi – Ode in English – is more than a sober monument to civic pride. Commissioned as part of Finland’s celebration of a century of independence, the library is no mere book repository. “I think Finland could not have given a better gift to the people. It symbolises the significance of learning and education, which have been fundamental factors for Finland’s development and success,”

“There’s strong belief in education for all,” says Hanna Harris, director of Archinfo Finland and Mind-building’s commissioner. “There is an appreciation of active citizenship – the idea that it is something that everyone is entitled to. Libraries embody that strongly,” she adds.

Those feelings of pride in the equality of opportunity offered by the city’s new library are echoed by the site chosen for Oodi: directly opposite parliament. “I think there is no other actor that could stand in front of the grounds of democracy like the public library does,

“We want people to find and use the spaces and start to change them,” says Nousjoki. “Our aim was to make [Oodi] attractive so that everybody will use it – and play a role in making sure it is maintained.”

Perhaps a clue to the Finnish enthusiasm for libraries comes from the fact that they offer far more than books. While many libraries worldwide provide internet access and other services, libraries in cities and towns across Finland have expanded their brief to include lending e-publications, sports equipment, power tools and other “items of occasional use”. One library in Vantaa even offers karaoke.

These spaces are not designed to be dusty temples to literacy. They are vibrant, well-thought-out spaces actively trying to engage the urban communities who use them. The library in Maunula, a northern Helsinki suburb, has a doorway that leads directly to a supermarket – a striking and functional decision which, along with its adult education centre and youth services section, was partly down to the fact that it was designed with input from locals.

Oodi, however, will go even further: in addition to its core function as a library, it will boast a cafe, restaurant, public balcony, cinema, audiovisual recording studios and a makerspace with 3D printers

“Libraries must reach out to the new generations. The world is changing – so libraries are changing too. People need places to meet, to work, to develop their digital skills.”

“Töölö library is one of my favourites,” says Harris. “It’s set in a park and has a rooftop balcony. Recently my colleagues and I went down there and there was a queue outside the doors – on a regular weekday morning, there was a queue at 9am to get in.”

the most impressive thing about it is the lack of public opposition to such a costly project. “People are looking forward to Oodi. It’s not been contentious: people are excited about it across the board,” says Archinfo director Harris. “It will be important to daily life here in Helsinki.”

the story of the golden calf also reminds us that without rules we quickly become slaves to our passions—and there’s nothing freeing about that.

And the story suggests something more: unchaperoned, and left to our own untutored judgment, we are quick to aim low and worship qualities that are beneath us—in this case, an artificial animal that brings out our own animal instincts in a completely unregulated way.

Similarly, in this book Professor Peterson doesn’t just propose his twelve rules, he tells stories, too, bringing to bear his knowledge of many fields as he illustrates and explains why the best rules do not ultimately restrict us but instead facilitate our goals and make for fuller, freer lives.

Peterson wasn’t really an “eccentric”; he had sufficient conventional chops, had been a Harvard professor, was a gentleman (as cowboys can be) though he did say damn and bloody a lot, in a rural 1950s sort of way. But everyone listened, with fascination on their faces, because he was in fact addressing questions of concern to everyone at the table.

unlike many academics who take the floor and hold it, if someone challenged or corrected him he really seemed to like it. He didn’t rear up and neigh. He’d say, in a kind of folksy way, “Yeah,” and bow his head involuntarily, wag it if he had overlooked something, laughing at himself for overgeneralizing. He appreciated being shown another side of an issue, and it became clear that thinking through a problem was, for him, a dialogic process.

for an egghead Peterson was extremely practical. His examples were filled with applications to everyday life: business management, how to make furniture (he made much of his own), designing a simple house, making a room beautiful (now an internet meme) or in another, specific case related to education, creating an online writing project that kept minority students from dropping out of school by getting them to do a kind of psychoanalytic exercise on themselves,

These Westerners were different: self-made, unentitled, hands on, neighbourly and less precious than many of their big-city peers, who increasingly spend their lives indoors, manipulating symbols on computers. This cowboy psychologist seemed to care about a thought only if it might, in some way, be helpful to someone.

I was drawn to him because here was a clinician who also had given himself a great books education, and who not only loved soulful Russian novels, philosophy and ancient mythology, but who also seemed to treat them as his most treasured inheritance. But he also did illuminating statistical research on personality and temperament, and had studied neuroscience. Though trained as a behaviourist, he was powerfully drawn to psychoanalysis with its focus on dreams, archetypes, the persistence of childhood conflicts in the adult, and the role of defences and rationalization in everyday life. He was also an outlier in being the only member of the research-oriented Department of Psychology at the University of Toronto who also kept a clinical practice.

Maps of Meaning, published nearly two decades ago, shows Jordan’s wide-ranging approach to understanding how human beings and the human brain deal with the archetypal situation that arises whenever we, in our daily lives, must face something we do not understand.

The brilliance of the book is in his demonstration of how rooted this situation is in evolution, our DNA, our brains and our most ancient stories. And he shows that these stories have survived because they still provide guidance in dealing with uncertainty, and the unavoidable unknown.

this is why many of the rules in this book, being based on Maps of Meaning, have an element of universality to them.

We are ambivalent about rules, even when we know they are good for us. If we are spirited souls, if we have character, rules seem restrictive, an affront to our sense of agency and our pride in working out our own lives. Why should we be judged according to another’s rule?

And he felt he had to understand the ideologies that drove totalitarian regimes to a variant of that same behaviour: killing their own citizens.

Ideologies are simple ideas, disguised as science or philosophy, that purport to explain the complexity of the world and offer remedies that will perfect it.

Ideologues are people who pretend they know how to “make the world a better place” before they’ve taken care of their own chaos within.

Ideologies are substitutes for true knowledge, and ideologues are always dangerous when they come to power, because a simple-minded I-know-it-all approach is no match for the complexity of existence.

To understand ideology, Jordan read extensively about not only the Soviet gulag, but also the Holocaust and the rise of Nazism. I had never before met a person, born Christian and of my generation, who was so utterly tormented by what happened in Europe to the Jews, and who had worked so hard to understand how it could have occurred.

I saw what now millions have seen online: a brilliant, often dazzling public speaker who was at his best riffing like a jazz artist; at times he resembled an ardent Prairie preacher (not in evangelizing, but in his passion, in his ability to tell stories that convey the life-stakes that go with believing or disbelieving various ideas). Then he’d just as easily switch to do a breathtakingly systematic summary of a series of scientific studies. He was a master at helping students become more reflective, and take themselves and their futures seriously. He taught them to respect many of the greatest books ever written. He gave vivid examples from clinical practice, was (appropriately) self-revealing, even of his own vulnerabilities, and made fascinating links between evolution, the brain and religious stories.

Above all, he alerted his students to topics rarely discussed in university, such as the simple fact that all the ancients, from Buddha to the biblical authors, knew what every slightly worn-out adult knows, that life is suffering.

chances are, if you or someone you love is not suffering now, they will be within five years, unless you are freakishly lucky. Rearing kids is hard, work is hard, aging, sickness and death are hard, and Jordan emphasized that doing all that totally on your own, without the benefit of a loving relationship, or wisdom, or the psychological insights of the greatest psychologists, only makes it harder.

focused on triumphant heroes. In all these triumph stories, the hero has to go into the unknown, into an unexplored territory, and deal with a new great challenge and take great risks. In the process, something of himself has to die, or be given up, so he can be reborn and meet the challenge. This requires courage, something rarely discussed in a psychology class or textbook.

Jordan

views of his first YouTube statements quickly numbered in the hundreds of thousands. But people have kept listening because what he is saying meets a deep and unarticulated need. And that is because alongside our wish to be free of rules, we all search for structure.

the first generation to have been so thoroughly taught two seemingly contradictory ideas about morality, simultaneously—at their schools, colleges and universities, by many in my own generation. This contradiction has left them at times disoriented and uncertain, without guidance and, more tragically, deprived of riches they don’t even know exist.

morality and the rules associated with it are just a matter of personal opinion or happenstance, “relative to” or “related to” a particular framework, such as one’s ethnicity, one’s upbringing, or the culture or historical…

The first idea or teaching is that morality is relative, at best a…

So, the decent thing to do—once it becomes apparent how arbitrary your, and your society’s, “moral values” are—is to show tolerance for people who think differently, and…

for many people one of the worst character flaws a person can have is to be “judgmental.”* And, since we don’t know right from wrong, or what is good, just about the most inappropriate thing an adult can…

That emphasis on tolerance is so paramount that for many people one of the worst character flaws a person can have is to be “judgmental.”* And, since we don’t know right from wrong, or what is good, just about the most inappropriate thing an…

And so a generation has been raised untutored in what was once called, aptly, “practical wisdom,” which guided previous generations. Millennials, often told they have received the finest education available anywhere, have actually…

professors, chose to devalue thousands of years of human knowledge about how to acquire virtue, dismissing it as passé, “…

They were so successful at it that the very word “virtue” sounds out of date, and someone using it appears…

The study of virtue is not quite the same as the study of morals (right and wrong, good and evil). Aristotle defined the virtues simply as the ways of behaving that are most conducive to happiness in life. Vice was…

Cultivating judgment about the difference between virtue and vice is the beginning of wisdom, something…

By contrast, our modern relativism begins by asserting that making judgments about how to live is impossible, because there is no real good, and no…

Thus relativism’s closest approximation to “virtue” is “tolerance.” Only tolerance will provide social cohesion between different groups, and save us from harming each other. On Facebook and other forms of social media, therefore, you signal your so-called…

Intolerance of others’ views (no matter how ignorant or incoherent they may be) is not simply wrong; in a world where there is no right or wrong, it is worse: it is a sign you are…

But it turns out that many people cannot tolerate the vacuum—the chaos—which is inherent in life, but made worse by this moral relativism; they cannot live without a moral compass,…

So, right alongside relativism, we find the spread of nihilism and despair, and also the opposite of moral relativism: the blind certainty offered by ideologies…

Dr. Norman Doidge, MD, is the author of The Brain That Changes Itself

so we arrive at the second teaching that millennials have been bombarded with. They sign up for a humanities course, to study the greatest books ever written. But they’re not assigned the books; instead they are given…

(But the idea that we can easily separate facts and values was and remains naive; to some extent, one’s values determine what one will pay…

For the ancients, the discovery that different people have different ideas about how, practically, to live, did not paralyze them; it deepened their understanding of humanity and led to some of the most satisfying conversations human beings have ever had, about how life might be lived.

Modern moral relativism has many sources. As we in the West learned more history, we understood that different epochs had different moral codes. As we travelled the seas and explored the globe, we learned of far-flung tribes on different continents whose different moral codes made sense relative to, or within the framework of, their societies. Science played a role, too, by attacking the religious view of the world, and thus undermining the religious grounds for ethics and rules. Materialist social science implied that we could divide the world into facts (which all could observe, and were objective and “real”) and values (…

it seems that all human beings are, by some kind of biological endowment, so ineradicably concerned with morality that we create a structure of laws and rules wherever we are. The idea that human life can be free of moral concerns is a fantasy.

given that we are moral animals, what must be the effect of our simplistic modern relativism upon us? It means we are hobbling ourselves by pretending to be something we are not. It is a mask, but a strange one, for it mostly deceives the one who wears it.

Far better to integrate the best of what we are now learning with the books human beings saw fit to preserve over millennia, and with the stories that have survived, against all odds, time’s tendency to obliterate.

these really are rules. And the foremost rule is that you must take responsibility for your own life. Period.

Jordan’s message that each individual has ultimate responsibility to bear; that if one wants to live a full life, one first sets one’s own house in order; and only then can one sensibly aim to take on bigger responsibilities.

if it’s uncertain that our ideals are attainable, why do we bother reaching in the first place? Because if you don’t reach for them, it is certain you will never feel that your life has meaning.

And perhaps because, as unfamiliar and strange as it sounds, in the deepest part of our psyche, we all want to be judged.

Instead of despairing about these differences in moral codes, Aristotle argued that though specific rules, laws and customs differed from place to place, what does not differ is that in all places human beings, by their nature, have a proclivity to make rules, laws and customs.

Freud never argued (as do some who want all culture to become one huge group therapy session) that one can live one’s entire life without ever making judgments, or without morality. In fact, his point in Civilization and Its Discontents is that civilization only arises when some restraining rules and morality are in place.

Aleksandr Solzhenitsyn, the great documenter of the slave-labour-camp horrors of the latter, once wrote that the “pitiful ideology” holding that “human beings are created for happiness” was an ideology “done in by the first blow of the work assigner’s cudgel.”1 In a crisis, the inevitable suffering that life entails can rapidly make a mockery of the idea that happiness is the proper pursuit of the individual. On the radio show, I suggested, instead, that a deeper meaning was required. I noted that the nature of such meaning was constantly re-presented in the great stories of the past, and that it had more to do with developing character in the face of suffering than with happiness.

I proposed in Maps of Meaning that the great myths and religious stories of the past, particularly those derived from an earlier, oral tradition, were moral in their intent, rather than descriptive. Thus, they did not concern themselves with what the world was, as a scientist might have it, but with how a human being should act.

I suggested that our ancestors portrayed the world as a stage—a drama—instead of a place of objects. I described how I had come

to believe that the constituent elements of the world as drama were order and chaos, and not material things.

Order is where the people around you act according to well-understood social norms, and remain predictable and cooperative. It’s the world of social structure, explored territory, and familiarity. The state of Order is typically portrayed, symbolically—imaginatively—as masculine.

Chaos, by contrast, is where—or when—something unexpected happens.

As the antithesis of symbolically masculine order, it’s presented imaginatively as feminine. It’s the new and unpredictable suddenly emerging in the midst of the commonplace familiar. It’s Creation and Destruction,

Order is the white, masculine serpent; Chaos, its black, feminine counterpart. The black dot in the white—and the white in the black—indicate the possibility of transformation: just when things seem secure, the unknown can loom, unexpectedly and large. Conversely, just when everything seems lost, new order can emerge from catastrophe and chaos.

For the Taoists, meaning is to be found on the border between the ever-entwined pair. To walk that border is to stay on the path of life, the divine Way. And that’s much better than happiness.

trying to address a perplexing problem: the reason or reasons for the nuclear standoff of the Cold War. I couldn’t understand how belief systems could be so important to people that they were willing to risk the destruction of the world to protect them. I came to realize that shared belief systems made people intelligible to one another—and that the systems weren’t just about belief.

People who live by the same code are rendered mutually predictable to one another. They act in keeping with each other’s expectations and desires. They can cooperate. They can even compete peacefully, because everyone knows what to expect from everyone else.

Shared beliefs simplify the world, as well, because people who know what to expect from one another can act together to tame the world. There is perhaps nothing more important than the maintenance of this organization—this simplification. If it’s threatened, the great ship of state rocks.

It isn’t precisely that people will fight for what they believe. They will fight, instead, to maintain the match between what they believe, what they expect, and what they desire. They will fight to maintain the match between what they expect and how everyone is acting. It is precisely the maintenance of that match that enables everyone

There’s more to it, too. A shared cultural system stabilizes human interaction, but is also a system of value—a hierarchy of value, where some things are given priority and importance and others are not. In the absence of such a system of value, people simply cannot act. In fact, they can’t even perceive, because both action and perception require a goal, and a valid goal is, by necessity, something valued.

We experience much of our positive emotion in relation to goals. We are not happy, technically speaking, unless we see ourselves progressing—and the very idea of progression implies value.

Worse yet is the fact that the meaning of life without positive value is not simply neutral. Because we are vulnerable and mortal, pain and anxiety are an integral part of human existence. We must have something to set against the suffering that is intrinsic to Being.*2 We must have the meaning inherent in a profound system of value or the horror of existence rapidly becomes paramount. Then, nihilism beckons, with its hopelessness and despair.

So: no value, no meaning. Between value systems, however, there is the possibility of conflict. We are thus eternally caught between the most diamantine rock and the hardest of places:

loss of group-centred belief renders life chaotic, miserable, intolerable; presence of group-centred belief makes conflict with other groups inevitable.

In the West, we have been withdrawing from our tradition-, religion- and even nation-centred cultures, partly to decrease the danger of group conflict. But we are increasingly falling prey to the desperation of meaninglessness, and that is no improvement at all.

While writing Maps of Meaning, I was (also) driven by the realization that we can no longer afford conflict—certainly not on the scale of the world conflagrations of the twentieth century.

I came to a more complete, personal realization of what the great stories of the past continually insist upon: the centre is occupied by the individual.

It is possible to transcend slavish adherence to the group and its doctrines and, simultaneously, to avoid the pitfalls of its opposite extreme, nihilism. It is possible, instead, to find sufficient meaning in individual consciousness and experience.

How could the world be freed from the terrible dilemma of conflict, on the one hand, and psychological and social dissolution, on the other? The answer was this: through the elevation and development of the individual, and through the willingness of everyone to shoulder the burden of Being and to take the heroic path. We must each adopt as much responsibility as possible for individual life, society and the world.

We must each tell the truth and repair what is in disrepair and break down and recreate what is old and outdated. It is in this manner that we can and must reduce the suffering that poisons the world. It’s asking a lot. It’s asking for everything.

the alternative—the horror of authoritarian belief, the chaos of the collapsed state, the tragic catastrophe of the unbridled natural world, the existential angst and weakness of the purposeless

individual—is clearly worse.

a title: 12 Rules for Life: An Antidote to Chaos. Why did that one rise up above all others? First and foremost, because of its simplicity. It indicates clearly that people need ordering principles, and that chaos otherwise beckons.

We require rules, standards, values—alone and together. We’re pack animals, beasts of burden. We must bear a load, to justify our miserable existence. We require routine and tradition. That’s order. Order can become excessive, and that’s not good, but chaos can swamp us, so we drown—and that is also not good. We need to stay on the straight and narrow path.

I hope that these rules and their accompanying essays will help people understand what they already know: that the soul of the individual eternally hungers for the heroism of genuine Being, and that the willingness to take on that responsibility is identical to the decision to live a meaningful life.

RULE 1   STAND UP STRAIGHT WITH YOUR SHOULDERS BACK

Because territory matters, and because the best locales are always in short supply, territory-seeking among animals produces conflict. Conflict, in turn, produces another problem: how to win or lose without the disagreeing parties incurring too great a cost.

It’s winner-take-all in the lobster world, just as it is in human societies, where the top 1 percent have as much loot as the bottom 50 percent11—and where the richest eighty-five people have as much as the bottom three and a half billion.

This principle is sometimes known as Price’s law, after Derek J. de Solla Price,13 the researcher who discovered its application in science in 1963. It can be modelled using an approximately L-shaped graph, with number of people on the vertical axis, and productivity or resources on the horizontal.

Instead of undertaking the computationally difficult task of identifying the best man, the females outsource the problem to the machine-like calculations of the dominance hierarchy. They let the males fight it out and peel their paramours from the top.

The dominant male, with his upright and confident posture, not only gets the prime real estate and easiest access to the best hunting grounds. He also gets all the girls. It is exponentially more worthwhile to be successful, if you are a lobster, and male.

dominance hierarchies have been an essentially permanent feature of the environment to which all complex life has adapted. A third of a billion years ago, brains and nervous systems were comparatively simple. Nonetheless, they already had the structure and neurochemistry necessary to process information about status and society. The importance of this fact can hardly be overstated.

evolution works, in large part, through variation and natural selection. Variation exists for many reasons, including gene-shuffling (to put it simply) and random mutation. Individuals vary within a species for such reasons. Nature chooses from among them, across time. That theory, as stated, appears to account for the continual alteration of life-forms over the eons.

But there’s an additional question lurking under the surface: what exactly is the “nature” in “natural selection”? What exactly is “the environment” to which animals adapt?

Nature “selects.” The idea of selects contains implicitly nested within it the idea of fitness. It is “fitness” that is “selected.” Fitness, roughly speaking, is the probability that a given organism will leave offspring (will propagate its genes through time). The “fit” in “fitness” is therefore the matching of organismal attribute to environmental demand.

But nature, the selecting agent, is not a static selector—not in any simple sense.

As the environment supporting a species transforms and changes, the features that make a given individual successful in surviving and reproducing also transform and change. Thus, the theory of natural selection does not posit creatures matching themselves ever more precisely to a template specified by the world. It is more that creatures are in a dance with nature, albeit one that is deadly.

Nature is not simply dynamic, either. Some things change quickly, but they are nested within other things that change less quickly (music

It’s chaos, within order, within chaos, within higher order. The order that is most real is the order that is most unchanging—and that is not necessarily the order that is most easily seen. The leaf, when perceived, might blind the observer to the tree. The tree can blind him to the forest.

It is also a mistake to conceptualize nature romantically.

Unfortunately, “the environment” is also elephantiasis and guinea worms (don’t ask), anopheles mosquitoes and malaria, starvation-level droughts, AIDS and the Black Plague.

It is because of the existence of such things, of course, that we attempt to modify our surroundings, protecting our children, building cities and transportation systems and growing food and generating power.

this brings us to a third erroneous concept: that nature is something strictly segregated from the cultural constructs that have emerged within it.

It does not matter whether that feature is physical and biological, or social and cultural. All that matters, from a Darwinian perspective, is permanence—and the dominance hierarchy, however social or cultural it might appear, has been around for some half a billion years.

The dominance hierarchy is not capitalism. It’s not communism, either, for that matter. It’s not the military-industrial complex. It’s not the patriarchy—that disposable, malleable, arbitrary cultural artefact. It’s not even a human creation; not in the most profound sense. It is instead a near-eternal aspect of the environment, and much of what is blamed on these more ephemeral manifestations is a consequence of its unchanging existence.

We were struggling for position before we had skin, or hands, or lungs, or bones. There is little more natural than culture. Dominance hierarchies are older than trees.

The part of our brain that keeps track of our position in the dominance hierarchy is therefore exceptionally ancient and fundamental.17 It is a master control system, modulating our perceptions, values, emotions, thoughts and actions. It powerfully affects every aspect of our Being, conscious and unconscious alike.

The ancient part of your brain specialized for assessing dominance watches how you are treated by other people. On that evidence, it renders a determination of your value and assigns you a status. If you are judged by your peers as of little worth, the counter restricts serotonin availability. That makes you much more physically and psychologically reactive to any circumstance or event that might produce emotion, particularly if it is negative. You need that reactivity. Emergencies are common at the bottom, and you must be ready to survive. Unfortunately, that physical hyper-response, that constant alertness, burns up a lot of precious energy and physical resources.

It will leave you far more likely to live, or die, carelessly, for a rare opportunity at pleasure, when it manifests itself. The physical demands of emergency preparedness will wear you down in every way.21

If you have a high status, on the other hand, the counter’s cold, pre-reptilian mechanics assume that your niche is secure, productive

You can delay gratification, without forgoing it forever. You can afford to be a reliable and thoughtful citizen.

Sometimes, however, the counter mechanism can go wrong. Erratic habits of sleeping and eating can interfere with its function. Uncertainty can throw it for a loop. The body, with its various parts,

needs

to function like a well-rehearsed orchestra. Every system must play its role properly, and at exactly the right time, or noise and chaos ensue. It is for this reason that routine is so necessary. The acts of life we repeat every day need to be automatized. They must be turned into stable and reliable habits, so they lose their complexity and gain predictability and simplicity.

It is for such reasons that I always ask my clinical clients first about sleep. Do they wake up in the morning at approximately the time the typical person wakes up, and at the same time every day?

The next thing I ask about is breakfast. I counsel my clients to eat a fat and protein-heavy breakfast as soon as possible after they awaken (no simple carbohydrates, no sugars,

I have had many clients whose anxiety was reduced to subclinical levels merely because they started to sleep on a predictable schedule and eat breakfast.

Other bad habits can also interfere with the counter’s accuracy.

There are many systems of interaction between brain, body and social world that can get caught in positive feedback loops. Depressed people, for example, can start feeling useless and burdensome, as well as grief-stricken and pained. This makes them withdraw from contact with friends and family. Then the withdrawal makes them more lonesome and isolated, and more likely to feel useless and burdensome. Then they withdraw more. In this manner, depression spirals and amplifies.

If someone is badly hurt at some point in life—traumatized—the dominance counter can transform in a manner that makes additional hurt more rather than less likely. This often happens in the case of people, now adults, who were viciously bullied during childhood or adolescence. They become anxious and easily upset. They shield themselves with a defensive crouch, and avoid the direct eye contact interpretable as a dominance challenge.

With their capacity for aggression strait-jacketed within a too-narrow morality, those who are only or merely compassionate and self-sacrificing (and naïve and exploitable) cannot call forth the genuinely righteous and appropriately self-protective anger necessary to defend themselves. If you can bite, you generally don’t have to. When skillfully integrated, the ability to respond with aggression and violence decreases rather than increases the probability that actual aggression will become necessary.

Naive, harmless people usually guide their perceptions and actions with a few simple axioms: people are basically good; no one really wants to hurt anyone else; the threat (and, certainly, the use) of force, physical or otherwise, is wrong. These axioms collapse, or worse, in the presence of

individuals who are genuinely malevolent.27

I have had clients who were terrified into literally years of daily hysterical convulsions by the sheer look of malevolence on their attackers’ faces. Such individuals typically come from hyper-sheltered families, where nothing

terrible is allowed to exist, and everything is fairyland wonderful (or else).

When the wakening occurs—when once-naïve people recognize in themselves the seeds of evil and monstrosity, and see themselves as dangerous (at least potentially)— their fear decreases. They develop more self-respect. Then, perhaps, they begin to resist oppression. They see that they have the ability to withstand, because they are terrible too. They see they can and must stand up, because they begin to understand how genuinely monstrous they will become, otherwise,

There is very little difference between the capacity for mayhem and destruction, integrated, and strength of character. This is one of the most difficult lessons of life.

even if you came by your poor posture honestly—even if you were unpopular or bullied at home or in grade school28—it’s not necessarily appropriate now. Circumstances change. If you slump around, with the same bearing that characterizes a defeated lobster, people will assign you a lower status, and the old counter that you share with crustaceans, sitting at the very base of your brain, will assign you a low dominance number.

the other, far more optimistic lesson of Price’s law and the Pareto distribution: those who start to have will probably get more.

Some of these upwardly moving loops can occur in your own private, subjective space.

If you are asked to move the muscles one by one into a position that looks happy, you will report feeling happier. Emotion is partly bodily expression, and can be amplified (or dampened) by that expression.29

To stand up straight with your shoulders back is to accept the terrible responsibility of life, with eyes wide open.

It means deciding to voluntarily transform the chaos of potential into the realities of habitable order. It means adopting the burden of self-conscious vulnerability, and accepting the end of the unconscious paradise of childhood, where finitude and mortality are only dimly comprehended. It means willingly undertaking the sacrifices necessary to generate a productive and meaningful reality (it means acting to please God, in the ancient language).

So, attend carefully to your posture. Quit drooping and hunching around. Speak your mind. Put your desires forward, as if you had a right to them—at least the same right as others. Walk tall and gaze forthrightly ahead. Dare to be dangerous. Encourage the serotonin to flow plentifully through the neural pathways desperate for its calming influence.

Thus emboldened, you will embark on the voyage of your life, let your light shine, so to speak, on the heavenly hill, and pursue your rightful destiny. Then the meaning of your life may be sufficient to keep the corrupting influence of mortal despair at bay. Then you may be able to accept the terrible burden of the World, and find joy.

RULE 2   TREAT YOURSELF LIKE SOMEONE YOU ARE RESPONSIBLE FOR HELPING

People are better at filling and properly administering prescription medication to their pets than to themselves. That

It is difficult to conclude anything from this set of facts except that people appear to love their dogs, cats, ferrets and birds (and maybe even their lizards) more than themselves. How horrible is that? How much shame must exist, for something like that to be true? What could it be about people that makes them prefer their pets to themselves?

To understand Genesis 1, the Priestly story, with its insistence on speech as the fundamental creative force, it is first necessary to review a few fundamental, ancient assumptions (these are markedly different in type and intent from the assumptions of science, which are, historically speaking, quite novel).

those who existed during the distant time in which the foundational epics of our culture emerged were much more concerned with the actions that dictated survival (and with interpreting the world in a manner commensurate with that goal) than with anything approximating what we now understand as objective truth.

Before the dawn of the scientific worldview, reality was construed differently. Being was understood as a place of action, not a place of things.31 It was understood as something more akin to story or drama. That story or drama was lived, subjective experience, as it manifested itself moment to moment in the consciousness of every living person.

subjective pain. That’s something so real no argument can stand against it. Everyone acts as if their pain is real—ultimately, finally real. Pain matters, more than matter matters. It is for this reason, I believe, that so many of the world’s traditions regard the suffering attendant upon existence as the irreducible truth of Being.

In any case, that which we subjectively experience can be likened much more to a novel or a movie than to a scientific description of physical reality.

The Domain, Not of Matter, but of What Matters

the world of experience has primal constituents, as well. These are the necessary elements whose interactions define drama and fiction. One of these is chaos. Another is order. The third (as there are three) is the process that mediates between the two, which appears identical to what modern people call consciousness.

Chaos is the domain of ignorance itself. It’s unexplored territory. Chaos is what extends, eternally and without limit, beyond the boundaries of all states, all ideas, and all disciplines. It’s the foreigner, the stranger, the member of another gang, the rustle in the bushes in the night-time,

It is, in short, all those things and situations we neither know nor understand.

Chaos is also the formless potential from which the God of Genesis 1 called forth order using language at the beginning of time. It’s the same potential from which we, made in that Image, call forth the novel and ever-changing moments of our lives. And Chaos is freedom, dreadful freedom, too.

Order, by contrast, is explored territory. That’s the hundreds-of-millions-of-years-old hierarchy of place, position and authority. That’s the structure of society. It’s the structure provided by biology, too—particularly insofar as you are adapted, as you are, to the structure of society. Order is tribe, religion, hearth, home and country.

Order is the public façade we’re called upon to wear, the politeness of a gathering of civilized strangers, and the thin ice on which we all skate. Order is the place where the behavior of the world matches our expectations and our desires; the place where all things turn out the way we want them to.

But order is sometimes tyranny and stultification, as well, when the demand for certainty and uniformity and purity becomes too one-sided.

In order, we’re able to think about things in the long term. There, things work, and we’re stable, calm and competent. We seldom leave places we

understand—geographical or conceptual—for that reason, and we certainly do not like it when we are compelled to or when it happens accidentally.

When the same person betrays you, sells you out, you move from the daytime world of clarity and light to the dark underworld of chaos, confusion and despair. That’s the same move you make, and the same place you visit, when the company you work for starts to fail and your job is placed in doubt.

Before the Twin Towers fell—that was order. Chaos manifested itself afterward. Everyone felt it. The very air became uncertain. What exactly was it that fell? Wrong question. What exactly remained standing? That was the issue at hand.