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"Go ask him what he means by 'I now know what I need to do,'" she instructed Bremmer. "If it's a matter of him picking up an automatic rifle or something, we have to intervene."

As he clarified to Bremmer, love is what he had just realised he had to do. "Love is the most important thing," he told the baffled research assistant. "Nothing matters without

When de Wit recounted this story to me nearly two years after the fact, she still could hardly believe it. "Isn't that amazing?" she said. "It's what everyone says about this damn drug, that it makes people feel love. To think that a drug could change somebody's beliefs and thoughts without any expectations – it's mind-boggling."

Over the past few years, I've been investigating the scientific research and medical potential of MDMA for a book called "I Feel Love: MDMA and the Quest for Connection in a Fractured World". I learnt how this once-vilified drug is now remerging as a therapeutic agent – a role it previously played in the 1970s and 1980s, prior to its criminalisation

He attended the notorious "Unite the Right" rally in Charlottesville and quickly rose up the ranks of his organisation, first becoming the coordinator for Illinois and then the entire Midwest. He travelled to Europe and around the US to meet other white nationalist groups, with the ultimate goal of taking the movement mainstream

some researchers have begun to wonder if it could be an effective tool for pushing people who are already somehow primed to reconsider their ideology toward a new way of seeing things

While MDMA cannot fix societal-level drivers of prejudice and disconnection, on an individual basis it can make a difference. In certain cases, the drug may even be able to help people see through the fog of discrimination and fear that divides so many of us.

in December 2021 I paid Brendan a visit

What I didn't expect was how ordinary the 31-year-old who answered the door would appear to be: blue plaid button-up shirt, neatly cropped hair, and a friendly smile.

Brendan grew up in an affluent Chicago suburb in an Irish Catholic family. He leaned liberal in high school but got sucked into white nationalism at the University of Illinois Urbana-Champaign, where he joined a fraternity mostly composed of conservative Republican men, began reading antisemitic conspiracy books, and fell down a rabbit hole of racist, sexist content online. Brendan was further emboldened by the populist rhetoric of Donald Trump during his presidential campaign. "His speech talking about Mexicans being rapists, the fixation on the border wall and deporting everyone, the Muslim ban – I didn't really get white nationalism until Trump started running for president," Brendan said.

If this comes to pass, MDMA – and other psychedelics-assisted therapy – could transform the field of mental health through widespread clinical use in the US and beyond, for addressing trauma and possibly other conditions as well, including substance use disorders, depression and eating disorders.

A group of anti-fascist activists published identifying information about him and more than 100 other people in Identity Evropa. He was immediately fired from his job and ostracised by his siblings and friends outside white nationalism.

When Brendan saw a Facebook ad in early 2020 for some sort of drug trial at the University of Chicago, he decided to apply just to have something to do and to earn a little money

At the time, Brendan was "still in the denial stage" following his identity becoming public, he said. He was racked with regret – not over his bigoted views, which he still held, but over the missteps that had landed him in this predicament.

About 30 minutes after taking the pill, he started to feel peculiar. "Wait a second – why am I doing this? Why am I thinking this way?" he began to wonder. "Why did I ever think it was okay to jeopardise relationships with just about everyone in my life?"

Just then, Bremmer came to collect Brendan to start the experiment. Brendan slid into an MRI, and Bremmer started tickling his forearm with a brush and asked him to rate how pleasant it felt. "I noticed it was making me happier – the experience of the touch," Brendan recalled. "I started progressively rating it higher and higher." As he relished in the pleasurable feeling, a single, powerful word popped into his mind: connection.

It suddenly seemed so obvious: connections with other people were all that mattered. "This is stuff you can't really put into words, but it was so profound," Brendan said. "I conceived of my relationships with other people not as distinct boundaries with distinct entities, but more as we-are-all-on

I realised I'd been fixated on stuff that doesn't really matter, and is just so messed up, and that I'd been totally missing the point. I hadn't been soaking up the joy that life has to offer."

Brendan hired a diversity, equity, and inclusion consultant to advise him, enrolled in therapy, began meditating, and started working his way through a list of educational books. S still regularly communicates with Brendan and, for his part, thinks that Brendan is serious in his efforts to change

"I think he is trying to better himself and work on himself, and I do think that experience with MDMA had an impact on him. It's been a touchstone for growth, and over time, I think, the reflection on that experience has had a greater impact on him than necessarily the experience itself."

Brendan is still struggling, though, to make the connections with others that he craves. When I visited him, he'd just spent Thanksgiving alone

He also has not completely abandoned his bigoted ideology, and is not sure that will ever be possible. "There are moments when I have racist or antisemitic thoughts, definitely," he said. "But now I can recognise that those kinds of thought patterns are harming me more than anyone else."

it's not without precedent. In the 1980s, for example, an acquaintance of early MDMA-assisted therapy practitioner Requa Greer administered the drug to a pilot who had grown up in a racist home and had inherited those views. The pilot had always accepted his bigoted way of thinking as being a normal, accurate reflection of the way things were. MDMA, however, "gave him a clear vision that unexamined racism was both wrong and mean," Greer says

Encouraging stories of seemingly spontaneous change appear to be exceptions to the norm, however, and from a neurological point of view, this makes sense

Research shows that oxytocin – one of the key hormones that MDMA triggers neurons to release – drives a "tend and defend" response across the animal kingdom. The same oxytocin that causes a mother bear to nurture her newborn, for example, also fuels her rage when she perceives a threat to her cub. In people, oxytocin likewise strengthens caregiving tendencies toward liked members of a person's in-group and strangers perceived to belong to the same group, but it increases hostility toward individuals from disliked groups

In a 2010 study published in Science, for example, men who inhaled oxytocin were three times more likely to donate money to members of their team in an economic game, as well as more likely to harshly punish competing players for not donating enough. (Read more: "The surprising downsides of empathy.")

According to research published this week in Nature by Johns Hopkins University neuroscientist Gül Dölen, MDMA and other psychedelics – including psilocybin, LSD, ketamine and ibogaine – work therapeutically by reopening a critical period in the brain. Critical periods are finite windows of impressionability that typically occur in childhood, when our brains are more malleable and primed to learn new things

Dölen and her colleagues' findings likewise indicate that, without the proper set and setting, MDMA and other psychedelics probably do not reopen critical periods, which means they will not have a spontaneous, revelatory effect for ridding someone of bigoted beliefs.

In the West, plenty of members of right-wing authoritarian political movements, including neo-Nazi groups, also have track records of taking MDMA and other psychedelics

This suggests, researchers write, that psychedelics are nonspecific, "politically pluripotent" amplifiers of whatever is going on in somebody's head, with no particular directional leaning "on the axes of conservatism-liberalism or authoritarianism-egalitarianism."

That said, a growing body of scientific evidence indicates that the human capacity for compassion, kindness, empathy, gratitude, altruism, fairness, trust, and cooperation are core features of our natures

As Emory University primatologist Frans de Waal wrote, "Empathy is the one weapon in the human repertoire that can rid us of the curse of xenophobia."

Ginsberg also envisions using the drug in workshops aimed at eliminating racism, or as a means of bringing people together from opposite sides of shared cultural histories to help heal intergenerational trauma. "I think all psychedelics have a role to play, but I think MDMA has a particularly key role because you're both expanded and present, heart-open and really able to listen in a new way," Ginsberg says. "That's something really powerful."

"If you give MDMA to hard-core haters on each side of an issue, I don't think it'll do a lot of good,"

if you start with open-minded people on both sides, then I think it can work. You can improve communications and build empathy between groups, and help people be more capable of analysing the world from a more balanced perspective rather than from fear-based, anxiety-based distrust."

In 2021, Ginsberg and Doblin were coauthors on a study investigating the possibility of using ayahuasca – a plant-based psychedelic – in group contexts to bridge divides between Palestinians and Israelis, with positive findings

"I kind of have a fantasy that maybe as we get more reacquainted with psychedelics, there could be group-based experiences that build community resiliency and are intentionally oriented toward breaking down barriers between people, having people see things from other perspectives and detribalising our society,

"But that's not going to happen on its own. It would have to be intentional, and – if it happens – it would probably take multiple generations."

Based on his experience with extremism, Brendan agreed with expert takes that no drug, on its own, will spontaneously change the minds of white supremacists or end political conflict in the US

he does think that, with the right framing and mindset, MDMA could be useful for people who are already at least somewhat open to reconsidering their ideologies, just as it was for him. "It helped me see things in a different way that no amount of therapy or antiracist literature ever would have done," he said. "I really think it was a breakthrough experience."

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.

Behavioral economics is at the center of the so-called replication crisis, a euphemism for the uncomfortable fact that the results of a significant percentage of social science experiments can’t be reproduced in subsequent trials

this key result was not replicated in similar experiments, undermining confidence in a whole area of study. It’s obvious that we do associate old age and slower walking, and we probably do slow down sometimes when thinking about older people. It’s just not clear that that’s a law of the mind.

And these attempts to “correct” human behavior are based on tenuous science. The replication crisis doesn’t have a simple solution

Journals have instituted reforms like having scientists preregister their hypotheses to avoid the possibility of results being manipulated during the research. But that doesn’t change how many uncertain results are already out there, with a knock-on effect that ripples through huge segments of quantitative social scienc

The Johns Hopkins science historian Ruth Leys, author of a forthcoming book on priming research, points out that cognitive science is especially prone to building future studies off disputed results. Despite the replication crisis, these fields are a “train on wheels, the track is laid and almost nothing stops them,” Dr. Leys said.

These cases result from lax standards around data collection, which will hopefully be corrected. But they also result from strong financial incentives: the possibility of salaries, book deals and speaking and consulting fees that range into the millions. Researchers can get those prizes only if they can show “significant” findings.

It is no coincidence that behavioral economics, from Dr. Kahneman to today, tends to be pro-business. Science should be not just reproducible, but also free of obvious ideology.

Technology and modern data science have only further entrenched behavioral economics. Its findings have greatly influenced algorithm design.

The collection of personal data about our movements, purchases and preferences inform interventions in our behavior from the grocery store to who is arrested by the police.

Setting people up for safety and success and providing good default options isn’t bad in itself, but there are more sinister uses as well. After all, not everyone who wants to exploit your cognitive biases has your best interests at heart.

Despite all its flaws, behavioral economics continues to drive public policy, market research and the design of digital interfaces.

One might think that a kind of moratorium on applying such dubious science would be in order — except that enacting one would be practically impossible. These ideas are so embedded in our institutions and everyday life that a full-scale audit of the behavioral sciences would require bringing much of our society to a standstill.

There is no peer review for algorithms that determine entry to a stadium or access to credit. To perform even the most banal, everyday actions, you have to put implicit trust in unverified scientific results.

We can’t afford to defer questions about human nature, and the social and political policies that come from them, to commercialized “research” that is scientifically questionable and driven by ideology. Behavioral economics claims that humans aren’t rational.

That’s a philosophical claim, not a scientific one, and it should be fought out in a rigorous marketplace of ideas. Instead of unearthing real, valuable knowledge of human nature, behavioral economics gives us “one weird trick” to lose weight or quit smoking.

Humans may not be perfectly rational, but we can do better than the predictably irrational consequences that behavioral economics has left us with today.

this is like if Russell Moore came out and said that, on the whole, Christianity turns out to be a bad thing. It’s that big of a deal.

Thompson’s case centers around constraints and supply, particularly as they apply to content creation.

In the pre-internet days, creating and distributing content was relatively expensive, which placed content publishers—be they newspapers, or TV stations, or movie studios—high on the value chain.

The internet reduced distribution costs to zero and this shifted value away from publishers and over to aggregators: Suddenly it was more important to aggregate an audience—a la Google and Facebook—than to be a content creator.

Audiences were valuable; content was commoditized.

What has alarmed Thompson is that AI has now reduced the cost of creating content to zero.

what does the world look like when both the creation and distribution of content are zero?

Hellscape

We’re headed to a place where content is artificially created and distributed in such a way as to be tailored to a given user’s preferences. Which will be the equivalent of living in a hall of mirrors.

What does that mean for news? Nothing good.

It doesn’t really make sense to talk about “news media” because there are fundamental differences between publication models that are driven by scale.

So the challenges the New York Times face will be different than the challenges that NPR or your local paper face.

Two big takeaways:

(1) Ad-supported publications will not survive

Zero-cost for content creation combined with zero-cost distribution means an infinite supply of content. The more content you have, the more ad space exists—the lower ad prices go.

Actually, some ad-supported publications will survive. They just won’t be news. What will survive will be content mills that exist to serve ads specifically matched to targeted audiences.

(2) Size is determinative.

The New York Times has a moat by dint of its size. It will see the utility of its soft “news” sections decline in value, because AI is going to be better at creating cooking and style content than breaking hard news. But still, the NYT will be okay because it has pivoted hard into being a subscription-based service over the last decade.

At the other end of the spectrum, independent journalists should be okay. A lone reporter running a focused Substack who only needs four digits’ worth of subscribers to sustain them.

But everything in between? That’s a crapshoot.

Technology writers sometimes talk about the contrast between “builders” and “conservers” — roughly speaking, between those who are most animated by what we stand to gain from technology and those animated by what we stand to lose.

in our moment the builder and conserver types are proving quite mercurial. On issues ranging from Big Tech to medicine, human enhancement to technologies of governance, the politics of technology are in upheaval.

Dispositions are supposed to be basically fixed. So who would have thought that deep blue cities that yesterday were hotbeds of vaccine skepticism would today become pioneers of vaccine passports? Or that outlets that yesterday reported on science and tech developments in reverent tones would today make it their mission to unmask “tech bros”?

One way to understand this churn is that the builder and the conserver types each speak to real, contrasting features within human nature. Another way is that these types each pick out real, contrasting features of technology. Focusing strictly on one set of features or the other eventually becomes unstable, forcing the other back into view.

The volatility of chatbots has made it impossible to predict their impact. In one second, the systems impress by fielding a complex request for a five-day itinerary, making Google’s search engine look archaic. A moment later, they disturb by taking conversations in dark directions and launching verbal assaults.

The result is an industry gripped with the question: What do we do now?

The A.I. systems could disrupt $100 billion in cloud spending, $500 billion in digital advertising and $5.4 trillion in e-commerce sales,

As Microsoft figures out a chatbot business model, it is forging ahead with plans to sell the technology to others. It charges $10 a month for a cloud service, built in conjunction with the OpenAI lab, that provides developers with coding suggestions, among other things.

Smaller companies like Box need help building chatbot tools, so they are turning to the giants that process, store and manage information across the web. Those companies — Google, Microsoft and Amazon — are in a race to provide businesses with the software and substantial computing power behind their A.I. chatbots.

“The cloud computing providers have gone all in on A.I. over the last few months,

“They are realizing that in a few years, most of the spending will be on A.I., so it is important for them to make big bets.”

Yusuf Mehdi, the head of Bing, said the company was wrestling with how the new version would make money. Advertising will be a major driver, he said, but the company expects fewer ads than traditional search allows.

Google, perhaps more than any other company, has reason to both love and hate the chatbots. It has declared a “code red” because their abilities could be a blow to its $162 billion business showing ads on searches.

“The discourse on A.I. is rather narrow and focused on text and the chat experience,” Mr. Taylor said. “Our vision for search is about understanding information and all its forms: language, images, video, navigating the real world.”

Sridhar Ramaswamy, who led Google’s advertising division from 2013 to 2018, said Microsoft and Google recognized that their current search business might not survive. “The wall of ads and sea of blue links is a thing of the past,” said Mr. Ramaswamy, who now runs Neeva, a subscription-based search engine.

As that underlying tech, known as generative A.I., becomes more widely available, it could fuel new ideas in e-commerce. Late last year, Manish Chandra, the chief executive of Poshmark, a popular online secondhand store, found himself daydreaming during a long flight from India about chatbots building profiles of people’s tastes, then recommending and buying clothes or electronics. He imagined grocers instantly fulfilling orders for a recipe.

“It becomes your mini-Amazon,” said Mr. Chandra, who has made integrating generative A.I. into Poshmark one of the company’s top priorities over the next three years. “That layer is going to be very powerful and disruptive and start almost a new layer of retail.”

In early December, users of Stack Overflow, a popular social network for computer programmers, began posting substandard coding advice written by ChatGPT. Moderators quickly banned A.I.-generated text

t people could post this questionable content far faster than they could write posts on their own, said Dennis Soemers, a moderator for the site. “Content generated by ChatGPT looks trustworthy and professional, but often isn’t,”

When websites thrived during the pandemic as traffic from Google surged, Nilay Patel, editor in chief of The Verge, a tech news site, warned publishers that the search giant would one day turn off the spigot. He had seen Facebook stop linking out to websites and foresaw Google following suit in a bid to boost its own business.

He predicted that visitors from Google would drop from a third of websites’ traffic to nothing. He called that day “Google zero.”

Because chatbots replace website search links with footnotes to answers, he said, many publishers are now asking if his prophecy is coming true.

, strategists and engineers at the digital advertising company CafeMedia have met twice a week to contemplate a future where A.I. chatbots replace search engines and squeeze web traffic.

The group recently discussed what websites should do if chatbots lift information but send fewer visitors. One possible solution would be to encourage CafeMedia’s network of 4,200 websites to insert code that limited A.I. companies from taking content, a practice currently allowed because it contributes to search rankings.

Courts are expected to be the ultimate arbiter of content ownership. Last month, Getty Images sued Stability AI, the start-up behind the art generator tool Stable Diffusion, accusing it of unlawfully copying millions of images. The Wall Street Journal has said using its articles to train an A.I. system requires a license.

In the meantime, A.I. companies continue collecting information across the web under the “fair use” doctrine, which permits limited use of material without permission.

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

In every group chat, no matter the size, participants fall into informal roles. There is usually a leader—a person whose posting frequency drives the group or sets the agenda. Often, there are lurkers who rarely chime in

Larger group chats are not immune to the more toxic dynamics of social media, where competition for attention and herd behavior cause infighting, splintering, and back-channeling.

It’s enough to make one think, as the writer Max Read argued, that “venture-capitalist group chats are a threat to the global economy.” Now you might also say they are a threat to national security.

thanks to the private nature of the group chats, this information largely stayed out of the public eye. As Bloomberg reported, “By the time most people figured out that a bank run was a possibility … it was already well underway.”

The investor panic that led to the swift collapse of Silicon Valley Bank in March was effectively caused by runaway group-chat dynamics. “It wasn’t phone calls; it wasn’t social media,” a start-up founder told Bloomberg in March. “It was private chat rooms and message groups.

Unlike traditional social media or even forums and message boards, group chats are nearly impossible to monitor.

as our digital social lives start to splinter off from feeds and large audiences and into siloed areas, a different kind of unpredictability and chaos awaits. Where social networks create a context collapse—a process by which information meant for one group moves into unfamiliar networks and is interpreted by outsiders—group chats seem to be context amplifiers

group chats provide strong relationship dynamics, and create in-jokes and lore. For decades, researchers have warned of the polarizing effects of echo chambers across social networks; group chats realize this dynamic fully.

Weird things happen in echo chambers. Constant reinforcement of beliefs or ideas might lead to group polarization or radicalization. It may trigger irrational herd behavior such as, say, attempting to purchase a copy of the Constitution through a decentralized autonomous organization

Obsession with in-group dynamics might cause people to lose touch with the reality outside the walls of a particular community; the private-seeming nature of a closed group might also lull participants into a false sense of security, as it did with Teixiera.

the age of the group chat appears to be at least as unpredictable, swapping a very public form of volatility for a more siloed, incalculable version

One calculation performed by an audience demographics firm found 32 million connections to male followers among the 5,000 accounts examined by The Times.

Interacting with the men opens the door to abuse. Some flatter, bully and blackmail girls and their parents to get racier and racier images. The Times monitored separate exchanges on Telegram, the messaging app, where men openly fantasize about sexually abusing the children they follow on Instagram and extol the platform for making the images so readily available.

The so-called creator economy surpasses $250 billion worldwide, according to Goldman Sachs, with U.S. brands spending more than $5 billion a year on influencers.

The troubling interactions on Instagram come as social media companies increasingly dominate the cultural landscape and the internet is seen as a career path of its own.

Nearly one in three preteens lists influencing as a career goal, and 11 percent of those born in Generation Z, between 1997 and 2012, describe themselves as influencers.

“It’s like a candy store

Health and technology experts have recently cautioned that social media presents a “profound risk of harm” for girls. Constant comparisons to their peers and face-altering filters are driving negative feelings of self-worth and promoting objectification of their bodies, researchers found.

he pursuit of online fame, particularly through Instagram, has supercharged the often toxic phenomenon, The Times found, encouraging parents to commodify their children’s images. Some of the child influencers earn six-figure incomes, according to interviews.

During our leisure time, not counting work, each of us processes 34 gigabytes, or 100,000 words, every day

The world’s 21,274 television stations produce 85,000 hours of original programming every day as we watch an average of five hours of television daily, the equivalent of 20 gigabytes of audio-video images

That’s not counting YouTube, which uploads 6,000 hours of video every hour.

We’ve created a world with 300 exabytes (300,000,000,000,000,000,000 pieces) of human-made information. If each of those pieces of information were written on a 3-by-5-inch index card and then spread out side by side, just one person’s share—your share of this information—would cover every square inch of Massachusetts and Connecticut combined.

Neurons are living cells with a metabolism; they need oxygen and glucose to survive, and when they’ve been working hard, we experience fatigue. Every status update you read on Facebook, every tweet or text message you get from a friend, is competing for resources in your brain with important things like whether to put your savings in stocks or bonds,

The processing capacity of the conscious mind has been estimated (by the researcher Mihaly Csikszentmihalyi and, independently, by Bell Labs engineer Robert Lucky) at 120 bits per second. That bandwidth, or window, is the speed limit for the traffic of information we can pay conscious attention to at any one time.

While a great deal occurs below the threshold of our awareness, and this has an impact on how we feel and what our life is going to be like, in order for something to become encoded as part of your experience, you need to have paid conscious attention to it.

What does this bandwidth restriction—this information speed limit—mean in terms of our interactions with others? In order to understand one person speaking to us, we need to process 60 bits of information per second. With a processing limit of 120 bits per second, this means you can barely understand two people talking to you at the same time

We’re surrounded on this planet by billions of other humans, but we can understand only two at a time at the most! It’s no wonder that the world is filled with so much misunderstanding.

With such attentional restrictions, it’s clear why many of us feel overwhelmed by managing some of the most basic aspects of life. Part of the reason is that our brains evolved to help us deal with life during the hunter-gatherer phase of human history

Attention is the most essential mental resource for any organism. It determines which aspects of the environment we deal with, and most of the time, various automatic, subconscious processes make the correct choice about what gets passed through to our conscious awareness. For this to happen, millions of neurons are constantly monitoring the environment to select the most important things for us to focus on.

These neurons are collectively the “attentional filter.” They work largely in the background, outside of our conscious awareness. This is why most of the perceptual detritus of our daily lives doesn’t registe

The attentional filter is one of evolution’s greatest achievements. In nonhumans, it ensures that they don’t get distracted by irrelevant things

When our protohuman ancestors left the cover of the trees to seek new sources of food, they simultaneously opened up a vast range of new possibilities for nourishment and exposed themselves to a wide range of new predators. Being alert and vigilant to threatening sounds and visual cues is what allowed them to survive; this meant allowing an increasing amount of information through the attentional filter.

Ten thousand years ago, humans plus their pets and livestock accounted for about 0.1% of the terrestrial vertebrate biomass inhabiting the earth; we now account for 98%

Humans are, by most biological measures, the most successful species our planet has seen. We have managed to survive in nearly every climate our planet has offered (so far), and the rate of our population expansion exceeds that of any other known organism

Our success owes in large part to our cognitive capacity, the ability of our brains to flexibly handle information. But our brains evolved in a much simpler world with far less information coming at us. Today, our attentional filters easily become overwhelmed.

Successful people—or those who can afford it—employ layers of other people whose job it is to narrow their own attentional filters.