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A winner of the memory Olympics, for instance, still had to keep sticky notes on the refrigerator to remember what she had to do during the day.

I was useless as a navigator but couldn’t abort the mission. My teammate took over. After my frustration and fear had dissipated, I slowed my breathing and held my breath at the inhale and exhale. I focused my mind on the breathing cycle while repeating the positive mantra, “Feeling good, looking good, ought to be in Hollywood!” thus accelerating my concentration and positivity. Suddenly we came to a halt. We’d arrived at the destination. A miserable three hours felt like an enjoyable 45 minutes just through focused breathing.

he had his SEAL Team visualize the mission hundreds of times. They mentally pictured everything that could go wrong, as well as what the victory would look like. They also rehearsed it live in a mock-up of the compound the terrorist was holed up in. This tactic is a key to SEAL success.

SEAL’s don’t take anything for granted and ensure that they win in their minds before stepping onto the helo

The SEAL ethos makes quitting not an option. SEALs persevere to “find a way or make one.” Things inevitably go wrong, but they don’t entertain the concept of failure

Removing a mask requires special attention to avoid hand contamination, and it could also breed a false sense of security.

in some parts of Asia everyone now wears a mask by default - it is seen as safer and more considerate.

In mainland China, Hong Kong, Japan, Thailand and Taiwan, the broad assumption is that anyone could be a carrier of the virus, even healthy people. So in the spirit of solidarity, you need to protect others from yourself.

In East Asia, many people are used to wearing masks when they are sick or when it's hayfever season, because it's considered impolite to be sneezing or coughing openly.

The 2003 Sars virus outbreak, which affected several countries in the region, also drove home the importance of wearing masks, particularly in Hong Kong, where many died as a result of the virus.So one key difference between these societies and Western ones, is that they have experienced contagion before - and the memories are still fresh and painful.

Some argue that ubiquitous mask wearing, as a very visual reminder of the dangers of the virus, could actually act as a "behavioural nudge" to you and others for overall better personal hygiene.

But there are downsides of course. Some places such as Japan, Indonesia and Thailand are facing shortages at the moment, and South Korea has had to ration out masks.

There is the fear that people may end up re-using masks - which is unhygienic - use masks sold on the black market, or wear homemade masks, which could be of inferior quality and essentially useless.

People who do not wear masks in these places have also been stigmatised, to the point that they are shunned and blocked from shops and buildings.

In countries where mask wearing is not the norm, such as the West, those who do wear masks have been shunned or even attacked. It hasn't helped that many of these mask wearers are Asians.

Being distracted by the second task didn’t hurt actual performance on the first task, but it did impair the subjects’ ability to be introspective (again, by accurately self-reporting how they did). The finding supports previous widespread evidence that multitasking leads to lower cognitive performance.

But our solipsism is frequently given outward expression rather than inward exploration, with more emphasis than ever before on images.

“That hints at the way that, as our technologies increase the intensity of stimulation and the flow of new things, we adapt to that pace,” Mr. Carr said. “We become less patient. When moments without stimulation arise, we start to feel panicked and don’t know what to do with them, because we’ve trained ourselves to expect this stimulation — new notifications and alerts and so on.”

Mr. Carr also noted counterarguments: Formulating relatively simple thoughts on the internet can yield more complex ones through real-time exchanges with others, and people whose reflex is to post a notion hastily rather than let it sit may not have been the most deliberative thinkers in a pre-smartphone time, either.

“We’ve adopted the Google ideal of the mind, which is that you have a question that you can answer quickly: close-ended, well-defined questions. Lost in that conception is that there’s also this open-ended way of thinking where you’re not always trying to answer a question. You’re trying to go where that thought leads you. As a society, we’re saying that that way of thinking isn’t as important anymore. It’s viewed as inefficient.”

If they are weighing a more sophisticated audio or visual connection -- to each other, and to the public -- the justices have the support of an on-site technology team and young law clerks, four per chamber. At the other end of the spectrum, they might weigh canceling the remaining argument sessions and resolve the cases based only on the written briefs filed. Those lengthy filings are more comprehensive than lawyers' presentations in hour-long oral sessions.

If you could better connect your current self with your future self, you would muster up the motivation you need to accomplish the task now, and not then.

Half of the participants were to consider that their “children” would begin college in 18 years, the other half in 6,570 days. Of course, this was the exact same amount of time. But did the way they counted time influence when would they start saving for that education? Interestingly, the “parents” who looked at matters from a “days” perspective planned to start saving four times sooner than parents planning from a “years” perspective. This experiment illustrated a valuable lesson: Procrastination can be overcome by finding a way to connect to your future self, now.

If you’re tempted to procrastinate, find a way to visualize your future self. Focus on the pain that results from putting things off, contrasted with the relief of having completed your task.

 when we feel threatened by something, the initial emotion is labeled “fear." That fear, by means of hormones, results in the production of fight-or-flight responsive feelings, allowing our body to react quickly and appropriately for its own self-preservation.

To continue with our fear to frightened/inferior example above, we can look at the Emotion Wheel to more clearly visualize that "fear" on the inner circle is different from "frightened" on the outer one. Or, to switch our focus to the positive, we can use the Emotion Wheel to see that the emotion of “happy” on the inner circle can result in a feeling of “joyful," “powerful” or even “proud” on the outside circle.

The payoff is in understanding that the six emotions are only broad categories with little specificity, while the feelings are more akin to how we actually and specifically describe what’s going on in our brains and bodies.

After you have identified and selected an item from the outer circle, track that feeling inward through the two rings until you have reached the basic emotion (inner circle). Using this process, you can see that while you think you are experiencing a feeling, you are really dealing with an emotion.

you do need to consider exactly what the problem is and the ramifications of your proposed solution.

Recognize and name all feelings you are experiencing in connection with the decision

Be aware of whether you want to make a decision from this specific emotion or if you want to adjust the course.

This is what artificial intelligence and machine learning are. Facebook is a series of algorithms and goals aimed at maximizing engagement with Facebook. That’s why it’s worth hundreds of billions of dollars. It has a vast army of computer scientists and programmers whose job it is to make that machine more efficient.

the Facebook engine is designed to scope you out, take a psychographic profile of who you are and then use its data compiled from literally billions of humans to serve you content designed to maximize your engagement with Facebook.

Put in those terms, you barely have a chance.

Of course, Facebook can come in and say, this is damaging so we’re going to add some code that says don’t show this dieting/fat-shaming content but girls 18 and under. But the algorithms will find other vulnerabilities

So what to do? The decision of all the companies, if not all individuals, was just to lie. What else are you going to do? Say we’re closing down our multi-billion dollar company because our product shouldn’t exist?

why exactly are you creating a separate group of subroutines that yanks Facebook back when it does what it’s supposed to do particularly well? This, indeed, was how the internal dialog at Facebook developed, as described in the article I read. Basically, other executives said: Our business is engagement, why are we suggesting people log off for a while when they get particularly engaged?

what it makes me think about more is the conversations at Tobacco companies 40 or 50 years ago. At a certain point you realize: our product is bad. If used as intended it causes lung cancer, heart disease and various other ailments in a high proportion of the people who use the product. And our business model is based on the fact that the product is chemically addictive. Our product is getting people addicted to tobacco so that they no longer really have a choice over whether to buy it. And then a high proportion of them will die because we’ve succeeded.

. The algorithms can be taught to find and address an infinite numbers of behaviors. But really you’re asking the researchers and programmers to create an alternative set of instructions where Instagram (or Facebook, same difference) jumps in and does exactly the opposite of its core mission, which is to drive engagement

You can add filters and claim you’re not marketing to kids. But really you’re only ramping back the vast social harm marginally at best. That’s the product. It is what it is.

there is definitely an analogy inasmuch as what you’re talking about here aren’t some glitches in the Facebook system. These aren’t some weird unintended consequences that can be ironed out of the product. It’s also in most cases not bad actors within Facebook. It’s what the product is. The product is getting attention and engagement against which advertising is sold

How good is the machine learning? Well, trial and error with between 3 and 4 billion humans makes you pretty damn good. That’s the product. It is inherently destructive, though of course the bad outcomes aren’t distributed evenly throughout the human population.

The business model is to refine this engagement engine, getting more attention and engagement and selling ads against the engagement. Facebook gets that revenue and the digital roadkill created by the product gets absorbed by the society at large

Facebook is like a spectacularly profitable nuclear energy company which is so profitable because it doesn’t build any of the big safety domes and dumps all the radioactive waste into the local river.

in the various articles describing internal conversations at Facebook, the shrewder executives and researchers seem to get this. For the company if not every individual they seem to be following the tobacco companies’ lead.

Ed. Note: TPM Reader AS wrote in to say I was conflating Facebook and Instagram and sometimes referring to one or the other in a confusing way. This is a fair

I spoke of them as the same intentionally. In part I’m talking about Facebook’s corporate ownership. Both sites are owned and run by the same parent corporation and as we saw during yesterday’s outage they are deeply hardwired into each other.

the main reason I spoke of them in one breath is that they are fundamentally the same. AS points out that the issues with Instagram are distinct because Facebook has a much older demographic and Facebook is a predominantly visual medium. (Indeed, that’s why Facebook corporate is under such pressure to use Instagram to drive teen and young adult engagement.) But they are fundamentally the same: AI and machine learning to drive engagement. Same same. Just different permutations of the same dynamic.

An outbreak isn’t a double pendulum; it’s much more convoluted. Myriad chains of events, operating in overlapping networks, conspire to chart its course.

It’s the double pendulum, and as a physical object, it’s very simple: A pendulum (a string and a weight) is attached to the bottom of another. Its movement is explained by the laws of motion written by Isaac Newton hundreds of years ago.

But slight changes in the initial condition of the pendulum — say it starts its swing from a little higher up, or if the weight of the pendulum balls is a little heavier, or one of the pendulum arms is a bit longer than the other — lead to wildly different outcomes that are very hard to predict.

The double pendulum is chaotic because the motion of the first pendulum influences the motion of the second, which then influences the entire apparatus. There isn’t a simple scale or ratio to describe how the inputs relate to the outputs. A one-gram change to the weight of a pendulum ball can result in a very different swing pattern than a two-gram change.

It teaches us to understand the mechanics of a system — the science of how it works — without being able to precisely predict its future. It helps us visualize how something that seems like it should be linear and predictable just isn’t.

That’s why, when pressed, epidemiologists have to say they don’t know what’s going to happen.

Climate scientists clearly tell us adding CO2 to the air will increase global temperatures. Yet they argue about when the worst effects of climate change will be felt and how bad it will be

Still, they know the mechanics of outbreaks. The chaos “doesn’t necessarily mean we know nothing,” Kissler says. They understand the conditions that make an outbreak worse and the conditions that make it better.

There is a tough tension of the current moment that we all need to work through: The future is clouded in chaos, but we know the mechanics of this system

Here are the mechanics. Scientists know that if we let up on social distancing, without an alternative plan in place, the virus can infect more people. They know this virus is likely to persist for at least a few years without a vaccine. They know it’s very contagious. That it’s very deadly. They also know that its pandemic potential is hardly spent, and that most of the population of the United States and the world is still vulnerable to it.

Will residents keep up with mask-wearing and social distancing, even when their leaders relax regulations? Plus, there are scientific questions about the virus still not understood: Will it diminish transmission in a seasonal pattern? Do children contribute greatly to its spread? How long does immunity last after an infection? Why do some people breathe out more of the virus than others? The answers to these questions will influence the future, and we do not know the answers.

Scientists are still unraveling what makes the difference between a sprawling outbreak in one city and a more manageable one in another. Some of it is the result of policy, some is the result of demographics, some is about structural inequality and racism, and some comes down to individual behavior. Some of it is just luck. That’s chaos for you.

“I don’t see uncertainty as a lack of knowledge,” says Philipp Lorenz-Spreen, a physicist who studies the chaos of a different sort of viral dynamics. “I think it’s a fundamental part of how our world works. It’s not our fault we do not know where this all will go.”

Newton clearly told us what happens when an object drops from the sky. But follow his laws, and find that the path of a double pendulum is very, very difficult to predict.

There’s a simple mechanism that is helping me understand the many possible futures we face with the Covid-19 pandemic.

Epidemiologists are clearly telling us what happens when you bring masses of people together during a pandemic. But they can’t tell us the exact shape this outbreak will take.

The fact that the American space agency still uses PowerPoint should not be surprising. Despite the backlash it inspired in the press, and the bile that it raised in billionaires, and the red alert it caused within the military, the corporate-presentation juggernaut rolls on. The program has more monthly users than ever before, according to Shawn Villaron, Microsoft’s vice president of product for PowerPoint—well into the hundreds of millions. If anything, its use cases have proliferated. During lockdown, people threw PowerPoint parties on Zoom. Kids now make PowerPoint presentations for their parents when they want to get a puppy or quit soccer or attend a Niall Horan meet and greet. If PowerPoint is evil, then evil rules the world.

it’s tempting to entertain counterfactuals and wonder how things might have played out if Tufte and the rest of us had worried about social media back in 2003 instead of presentation software. Perhaps a timely pamphlet on The Cognitive Style of Friendster or a Wired headline asserting that “LinkedIn Is Evil” would have changed the course of history. If the social-media backlash of the past few years had been present from the start, maybe Facebook would never have grown into the behemoth it is now, and the country would never have become so hopelessly divided.

it could be that nothing whatsoever would have changed. No matter what their timing, and regardless of their aptness, concerns about new media rarely seem to make a difference. Objections get steamrolled. The new technology takes over. And years later, when we look back and think, How strange that we were so perturbed, the effects of that technology may well be invisible.

"When we innovate, we have to depart from existing solutions and come up with new ideas by drawing broadly from our knowledge. Coming up with alternative ways to use known objects requires the same psychological process," she explained.

Researchers also used eye-tracking software, which found that virtual participants spent more time looking directly at their partner, as opposed to gazing around the room.

"This visual focus on the screen narrows cognition. In other words, people are more focused when interacting on video, which hurts the broad, expansive idea generation process," Brucks said.

"Objects in the room can prompt new associations easier than trying to generate them all internally,"

"The field study shows that the negative effects of videoconferencing on idea generation is not limited to simplistic tasks and can play out in more complicated and high-tech brainstorming sessions as well," she said.

The study found that videoconferencing didn't hinder all collaborative work

However, she said it was a mistake to conclude that creativity and videoconferencing are incompatible.

"Perhaps many of us make friends faster in person than over Zoom, and creativity flourishes when we're relaxed. But when Zooming from home, people are probably more relaxed than when in an experiment," she added.

"I wouldn't want to see a company double their in-person meetings hoping to improve their innovation, if this also means doubling the commute time resulting in less happy -- and perhaps less creative -- employees."

Most servers are funded by the people who use them.

The servers that Mastodon oversees — Mastodon Social and Mastodon Online — are funded through Patreon, a membership and subscription service platform often used by content creators.

Although Mastodon visually resembles Twitter, its user experience is more akin to that of Discord, a talking and texting app where people also join servers that have their own cultures and rules.

Unlike Twitter and Discord, Mastodon does not have the ability to make its users, or the people who create servers, do anything.

But servers can dictate how they interact with one another — or whether they interact at all in a shared stream of posts. For example, when Gab used Mastodon’s code, Mastodon Social and other independent servers blocked Gab’s server, so posts from Gab did not appear on the feeds of people using those servers.

Like an email account, your username includes the name of the server itself. For example, a possible username on Mastodon Social would be janedoe@mastodon.social. Regardless of which server you sign up with, you can interact with people who use other Mastodon servers, or you can switch to another one

Once you sign up for an account, you can post “toots,” which are Mastodon’s version of tweets. You can also boost other people’s toots, the equivalent of a retweet.

Most A.I. researchers agree that models trained using R.L.H.F. are better behaved than models without it. But some argue that fine-tuning a language model this way doesn’t actually make the underlying model less weird and inscrutable. In their view, it’s just a flimsy, friendly mask that obscures the mysterious beast underneath.

In a nutshell, the joke was that in order to prevent A.I. language models from behaving in scary and dangerous ways, A.I. companies have had to train them to act polite and harmless. One popular way to do this is called “reinforcement learning from human feedback,” or R.L.H.F., a process that involves asking humans to score chatbot responses, and feeding those scores back into the A.I. model.

Shoggoths are fictional creatures, introduced by the science fiction author H.P. Lovecraft in his 1936 novella “At the Mountains of Madness.” In Lovecraft’s telling, Shoggoths were massive, blob-like monsters made out of iridescent black goo, covered in tentacles and eyes.

@TetraspaceWest said, wasn’t necessarily implying that it was evil or sentient, just that its true nature might be unknowable.

And it reinforces the notion that what’s happening in A.I. today feels, to some of its participants, more like an act of summoning than a software development process. They are creating the blobby, alien Shoggoths, making them bigger and more powerful, and hoping that there are enough smiley faces to cover the scary parts.

“I was also thinking about how Lovecraft’s most powerful entities are dangerous — not because they don’t like humans, but because they’re indifferent and their priorities are totally alien to us and don’t involve humans, which is what I think will be true about possible future powerful A.I.”

when Bing’s chatbot became unhinged and tried to break up my marriage, an A.I. researcher I know congratulated me on “glimpsing the Shoggoth.” A fellow A.I. journalist joked that when it came to fine-tuning Bing, Microsoft had forgotten to put on its smiley-face mask.

@TetraspaceWest, the meme’s creator, told me in a Twitter message that the Shoggoth “represents something that thinks in a way that humans don’t understand and that’s totally different from the way that humans think.”

In any case, the Shoggoth is a potent metaphor that encapsulates one of the most bizarre facts about the A.I. world, which is that many of the people working on this technology are somewhat mystified by their own creations. They don’t fully understand the inner workings of A.I. language models, how they acquire new capabilities or why they behave unpredictably at times. They aren’t totally sure if A.I. is going to be net-good or net-bad for the world.

That some A.I. insiders refer to their creations as Lovecraftian horrors, even as a joke, is unusual by historical standards. (Put it this way: Fifteen years ago, Mark Zuckerberg wasn’t going around comparing Facebook to Cthulhu.)

If it’s an A.I. safety researcher talking about the Shoggoth, maybe that person is passionate about preventing A.I. systems from displaying their true, Shoggoth-like nature.

A great many people are dismissive of suggestions that any of these systems are “really” thinking, because they’re “just” doing something banal (like making statistical predictions about the next word in a sentence). What they fail to appreciate is that there is every reason to suspect that human cognition is “just” doing those exact same things. It matters not that birds flap their wings but airliners don’t. Both fly. And these machines think. And, just as airliners fly faster and higher and farther than birds while carrying far more weight, these machines are already outthinking the majority of humans at the majority of tasks. Further, that machines aren’t perfect thinkers is about as relevant as the fact that air travel isn’t instantaneous. Now consider: we’re well past the Wright flyer level of thinking machine, past the early biplanes, somewhere about the first commercial airline level. Not quite the DC-10, I think. Can you imagine what the AI equivalent of a 777 will be like? Fasten your seatbelts.

@thomas h. You make my point perfectly. You’re observing that the way a plane flies — by using a turbine to generate thrust from combusting kerosene, for example — is nothing like the way that a bird flies, which is by using the energy from eating plant seeds to contract the muscles in its wings to make them flap. You are absolutely correct in that observation, but it’s also almost utterly irrelevant. And it ignores that, to a first approximation, there’s no difference in the physics you would use to describe a hawk riding a thermal and an airliner gliding (essentially) unpowered in its final descent to the runway. Further, you do yourself a grave disservice in being dismissive of the abilities of thinking machines, in exactly the same way that early skeptics have been dismissive of every new technology in all of human history. Writing would make people dumb; automobiles lacked the intelligence of horses; no computer could possibly beat a chess grandmaster because it can’t comprehend strategy; and on and on and on. Humans aren’t nearly as special as we fool ourselves into believing. If you want to have any hope of acting responsibly in the age of intelligent machines, you’ll have to accept that, like it or not, and whether or not it fits with your preconceived notions of what thinking is and how it is or should be done … machines can and do think, many of them better than you in a great many ways. b&

@BLA. You are incorrect. Everything has nature. Its nature is manifested in making humans react. Sure, no humans, no nature, but here we are. The writer and various sources are not attributing nature to AI so much as admitting that they don’t know what this nature might be, and there are reasons to be scared of it. More concerning to me is the idea that this field is resorting to geek culture reference points to explain and comprehend itself. It’s not so much the algorithm has no soul, but that the souls of the humans making it possible are stupendously and tragically underdeveloped.

When even tech companies are saying AI is moving too fast, and the articles land on page 1 of the NYT (there's an old reference), I think the greedy will not think twice about exploiting this technology, with no ethical considerations, at all.

@nome sane? The problem is it isn't data as we understand it. We know what the datasets are -- they were used to train the AI's. But once trained, the AI is thinking for itself, with results that have surprised everybody.

The unique feature of a shoggoth is it can become whatever is needed for a particular job. There's no actual shape so it's not a bad metaphor, if an imperfect image. Shoghoths also turned upon and destroyed their creators, so the cautionary metaphor is in there, too. A shame more Asimov wasn't baked into AI. But then the conflict about how to handle AI in relation to people was key to those stories, too.

“It just came down to not having enough money,” said Terence Trouillot, a senior editor at Frieze, a contemporary art magazine . He spent nearly three years on the AICA-USA board, resigning in 2022. He said that initiatives to re-energize the group “were just moving too slowly.”

According to Lilly Wei, a longtime AICA-USA board member who recently resigned, the group explored different ways of protecting writers in the industry. There were unrealized plans of turning the organization into a union; others hoped to create a permanent emergency fund to keep financially struggling critics afloat. She said the organization has instead canceled initiatives, including an awards program for the best exhibitions across the country.

Large galleries — including Gagosian, Hauser & Wirth, and Pace Gallery — now produce their own publications with interviews and articles sometimes written by the same freelance critics who simultaneously moonlight as curators and marketers. Within its membership, AICA-USA has a number of writers who belong to all three categories.

“It’s crazy that the ideal job nowadays is producing catalog essays for galleries, which are basically just sales pitches,” Dillon said in a phone interview. “Critical thinking about art is not valued financially.”

Noah Dillon, who was on the AICA-USA board until he resigned last year, has been reluctant to recommend that anyone follow his path to become a critic. Not that they could. The graduate program in art writing that he attended at the School of Visual Arts in Manhattan also closed during the pandemic.

David Velasco, editor in chief of Artforum, said in an interview that he hoped the magazine’s acquisition would improve the publication’s financial picture. The magazine runs nearly 700 reviews a year, Velasco said; about half of those run online and pay $50 for roughly 250 words. “Nobody I know who knows about art does it for the money,” Velasco said, “but I would love to arrive at a point where people could.”

While most editors recognize the importance of criticism in helping readers decipher contemporary art, and the multibillion-dollar industry it has created, venues for such writing are shrinking. Over the years, newspapers including The Philadelphia Inquirer and The Miami Herald have trimmed critics’ jobs.

In December, the Penske Media Corporation announced that it had acquired Artforum, a contemporary art journal, and was bringing the title under the same ownership as its two competitors, ARTnews and Art in America. Its sister publication, Bookforum, was not acquired and ceased operations. Through the pandemic, other outlets have shuttered, including popular blogs run by SFMOMA and the Walker Art Center in Minneapolis as well as smaller magazines called Astra and Elephant.

The need for change in museums was pointed out in the 2022 Burns Halperin Report, published by Artnet News in December, that analyzed more than a decade of data from over 30 cultural institutions. It found that just 11 percent of acquisitions at U.S. museums were by female artists and only 2.2 percent were by Black American artists

(National newspapers with art critics on staff include The New York Times, The Los Angeles Times, The Boston Globe and The Washington Post. )

Julia Halperin, one of the study’s organizers, who recently left her position as Artnet’s executive editor, said that the industry has an asymmetric approach to diversity. “The pool of artists is diversifying somewhat, but the pool of staff critics has not,” she said.

the matter of diversity in criticism is compounded by the fact that opportunities for all critics have been diminished.

What happened in 2012, when the oldest Gen-Z babies were in their middle teens? That was the year Facebook acquired Instagram and young people flocked to the latter site. It was also “the beginning of the selfie era.”

Mr. Haidt’s research, confirmed by that of others, shows that depression rates started to rise “all of a sudden” around 2013, “especially for teen girls,” but “it’s only Gen Z, not the older generations.” If you’d stopped collecting data in 2011, he says, you’d see little change from previous years. “By 2015 it’s an epidemic.” (His data are available in an open-source document.)

Mr. Haidt imagines “literally launching our children into outer space” and letting their bodies grow there: “They would come out deformed and broken. Their limbs wouldn’t be right. You can’t physically grow up in outer space. Human bodies can’t do that.” Yet “we basically do that to them socially. We launched them into outer space around the year 2012,” he says, “and then we expect that they will grow up normally without having normal human experiences.”

He calls this phenomenon “compare and despair” and says: “It seems social because you’re communicating with people. But it’s performative. You don’t actually get social relationships. You get weak, fake social links.”

That meant the first social-media generation was one of “weakened kids” who “hadn’t practiced the skills of adulthood in a low-stakes environment” with other children. They were deprived of “the normal toughening, the normal strengthening, the normal anti-fragility.

Now, their childhood “is largely just through the phone. They no longer even hang out together.” Teenagers even drive less than earlier generations did.

Mr. Haidt especially worries about girls. By 2020 more than 25% of female teenagers had “a major depression.” The comparable number for boys was just under 9%.

The comparable numbers for millennials at the same age registered at half the Gen-Z rate: about 13% for girls and 5% for boys. “Kids are on their devices all the time,”

Most girls, by contrast, are drawn to “visual platforms,” Instagram and TikTok in particular. “Those are about display and performance. You post your perfect life, and then you flip through the photos of other girls who have a more perfect life, and you feel depressed.

Mr. Haidt says he has no antipathy toward the young, and he calls millennials “amazing.”

“Social media is incompatible with liberal democracy because it has moved conversation, and interaction, into the center of the Colosseum. We’re not there to talk to each other. We’re there to perform” before spectators who “want blood.”

To illustrate his point about Gen Z, Mr. Haidt challenges people to name young people today who are “really changing the world, who are doing big things that have an impact beyond their closed ecosystem.”

He can think of only two, neither of them American: Greta Thunberg, 19, the Swedish climate militant, and Malala Yousafzai, 25, the Pakistani advocate for female education

I’m predicting that they will be less effective, less impactful, than previous generations.” Why? “You should always keep your eye on whether people are in ‘discover mode’ or ‘defend mode.’ ” In the former mode, you seize opportunities to be creative. In the latter, “you’re not creative, you’re not future-thinking, you’re focused on threats in the present.”

University students who matriculated starting in 2014 or so have arrived on campus in defend mode: “Here they are in the safest, most welcoming, most inclusive, most antiracist places on the planet, but many of them were acting like they were entering some sort of dystopian, threatening, immoral world.”

56% of liberal women 18 to 29 responded affirmatively to the question: Has a doctor or other healthcare provider ever told you that you have a mental health condition? “Some of that,” Mr. Haidt says, “has to be just self-presentational,” meaning imagined.

This new ideology . . . valorizes victimhood. And if your sub-community motivates you to say you have an anxiety disorder, how is this going to affect you for the rest of your life?” He answers his own question: “You’re not going to take chances, you’re going to ask for accommodations, you’re going to play it safe, you’re not going to swing for the fences, you’re not going to start your own company.”

Whereas millennial women are doing well, “Gen-Z women, because they’re so anxious, are going to be less successful than Gen-Z men—and that’s saying a lot, because Gen-Z men are messed up, too.”

The problem, he says, is distinct to the U.S. and other English-speaking developed countries: “You don’t find it as much in Europe, and hardly at all in Asia.” Ideas that are “nurtured around American issues of race and gender spread instantly to the U.K. and Canada. But they don’t necessarily spread to France and Germany, China and Japan.”

something I hear from a lot of managers, that it’s very difficult to supervise their Gen-Z employees, that it’s very difficult to give them feedback.” That makes it hard for them to advance professionally by learning to do their jobs better.

“this could severely damage American capitalism.” When managers are “afraid to speak up honestly because they’ll be shamed on Twitter or Slack, then that organization becomes stupid.” Mr. Haidt says he’s “seen a lot of this, beginning in American universities in 2015. They all got stupid in the same way. They all implemented policies that backfire.”

Mr. Haidt, who describes himself as “a classical liberal like John Stuart Mill,” also laments the impact of social media on political discourse

Social media and selfies hit a generation that had led an overprotected childhood, in which the age at which children were allowed outside on their own by parents had risen from the norm of previous generations, 7 or 8, to between 10 and 12.

Is there a solution? “I’d raise the age of Internet adulthood to 16,” he says—“and enforce it.”

By contrast, “life went onto phone-based apps 10 years ago, and the protections we have for children are zero, absolutely zero.” The damage to Generation Z from social media “so vastly exceeds the damage from Covid that we’re going to have to act.”

Gen Z, he says, “is not in denial. They recognize that this app-based life is really bad for them.” He reports that they wish they had childhoods more like those of their parents, in which they could play outside and have adventur