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a “web 2.0” revolution in “user-generated content,” offering easy-to-use, easily adopted tools on websites and then mobile apps. They were built for creating and sharing “content,”

As the original name suggested, social networking involved connecting, not publishing. By connecting your personal network of trusted contacts (or “strong ties,” as sociologists call them) to others’ such networks (via “weak ties”), you could surface a larger network of trusted contacts

The whole idea of social networks was networking: building or deepening relationships, mostly with people you knew. How and why that deepening happened was largely left to the users to decide.

That changed when social networking became social media around 2009, between the introduction of the smartphone and the launch of Instagram. Instead of connection—forging latent ties to people and organizations we would mostly ignore—social media offered platforms through which people could publish content as widely as possible, well beyond their networks of immediate contacts.

Social media turned you, me, and everyone into broadcasters (if aspirational ones). The results have been disastrous but also highly pleasurable, not to mention massively profitable—a catastrophic combination.

A social network is an idle, inactive system—a Rolodex of contacts, a notebook of sales targets, a yearbook of possible soul mates. But social media is active—hyperactive, really—spewing material across those networks instead of leaving them alone until needed.

The authors propose social media as a system in which users participate in “information exchange.” The network, which had previously been used to establish and maintain relationships, becomes reinterpreted as a channel through which to broadcast.

The toxicity of social media makes it easy to forget how truly magical this innovation felt when it was new. From 2004 to 2009, you could join Facebook and everyone you’d ever known—including people you’d definitely lost track of—was right there, ready to connect or reconnect. The posts and photos I saw characterized my friends’ changing lives, not the conspiracy theories that their unhinged friends had shared with them

Twitter, which launched in 2006, was probably the first true social-media site, even if nobody called it that at the time. Instead of focusing on connecting people, the site amounted to a giant, asynchronous chat room for the world. Twitter was for talking to everyone—which is perhaps one of the reasons journalists have flocked to it

on Twitter, anything anybody posted could be seen instantly by anyone else. And furthermore, unlike posts on blogs or images on Flickr or videos on YouTube, tweets were short and low-effort, making it easy to post many of them a week or even a day.

soon enough, all social networks became social media first and foremost. When groups, pages, and the News Feed launched, Facebook began encouraging users to share content published by others in order to increase engagement on the service, rather than to provide updates to friends. LinkedIn launched a program to publish content across the platform, too. Twitter, already principally a publishing platform, added a dedicated “retweet” feature, making it far easier to spread content virally across user networks.

When we look back at this moment, social media had already arrived in spirit if not by name. RSS readers offered a feed of blog posts to catch up on, complete with unread counts. MySpace fused music and chatter; YouTube did it with video (“Broadcast Yourself”)

From being asked to review every product you buy to believing that every tweet or Instagram image warrants likes or comments or follows, social media produced a positively unhinged, sociopathic rendition of human sociality.

Other services arrived or evolved in this vein, among them Reddit, Snapchat, and WhatsApp, all far more popular than Twitter. Social networks, once latent routes for possible contact, became superhighways of constant content

Although you can connect the app to your contacts and follow specific users, on TikTok, you are more likely to simply plug into a continuous flow of video content that has oozed to the surface via algorithm.

In the social-networking era, the connections were essential, driving both content creation and consumption. But the social-media era seeks the thinnest, most soluble connections possible, just enough to allow the content to flow.

This is also why journalists became so dependent on Twitter: It’s a constant stream of sources, events, and reactions—a reporting automat, not to mention an outbound vector for media tastemakers to make tastes.

“influencer” became an aspirational role, especially for young people for whom Instagram fame seemed more achievable than traditional celebrity—or perhaps employment of any kind.

social-media operators discovered that the more emotionally charged the content, the better it spread across its users’ networks. Polarizing, offensive, or just plain fraudulent information was optimized for distribution. By the time the platforms realized and the public revolted, it was too late to turn off these feedback loops.

The ensuing disaster was multipar

Rounding up friends or business contacts into a pen in your online profile for possible future use was never a healthy way to understand social relationships.

when social networking evolved into social media, user expectations escalated. Driven by venture capitalists’ expectations and then Wall Street’s demands, the tech companies—Google and Facebook and all the rest—became addicted to massive scale

Social media showed that everyone has the potential to reach a massive audience at low cost and high gain—and that potential gave many people the impression that they deserve such an audience.

On social media, everyone believes that anyone to whom they have access owes them an audience: a writer who posted a take, a celebrity who announced a project, a pretty girl just trying to live her life, that anon who said something afflictive

When network connections become activated for any reason or no reason, then every connection seems worthy of traversing.

people just aren’t meant to talk to one another this much. They shouldn’t have that much to say, they shouldn’t expect to receive such a large audience for that expression, and they shouldn’t suppose a right to comment or rejoinder for every thought or notion either.

Facebook and all the rest enjoyed a massive rise in engagement and the associated data-driven advertising profits that the attention-driven content economy created. The same phenomenon also created the influencer economy, in which individual social-media users became valuable as channels for distributing marketing messages or product sponsorships by means of their posts’ real or imagined reach

That’s no surprise, I guess, given that the model was forged in the fires of Big Tech companies such as Facebook, where sociopathy is a design philosophy.

If change is possible, carrying it out will be difficult, because we have adapted our lives to conform to social media’s pleasures and torments. It’s seemingly as hard to give up on social media as it was to give up smoking en masse

Quitting that habit took decades of regulatory intervention, public-relations campaigning, social shaming, and aesthetic shifts. At a cultural level, we didn’t stop smoking just because the habit was unpleasant or uncool or even because it might kill us. We did so slowly and over time, by forcing social life to suffocate the practice. That process must now begin in earnest for social media.

Something may yet survive the fire that would burn it down: social networks, the services’ overlooked, molten core. It was never a terrible idea, at least, to use computers to connect to one another on occasion, for justified reasons, and in moderation

The problem came from doing so all the time, as a lifestyle, an aspiration, an obsession. The offer was always too good to be true, but it’s taken us two decades to realize the Faustian nature of the bargain.

when I first wrote about downscale, the ambition seemed necessary but impossible. It still feels unlikely—but perhaps newly plausible.

To win the soul of social life, we must learn to muzzle it again, across the globe, among billions of people. To speak less, to fewer people and less often–and for them to do the same to you, and everyone else as well

We cannot make social media good, because it is fundamentally bad, deep in its very structure. All we can do is hope that it withers away, and play our small part in helping abandon it.

The reality is that good comedy can’t be suppressed, particularly these days when gatekeepers have never had less power.

While he’s not especially good at comedy, Musk is a wonderful comic character: The boss who thinks he’s funny but isn’t. He’s Michael Scott from “The Office,” whose terrible jokes everyone must if not laugh at, at least put up with.

One reason Musk might think he’s hilarious is that every joke he makes gets a glowing response from his vast population of followers. Why? Comedy is subjective. But I bet a few just admire him and want his attention. This can be its own form of cringe humor and mocking it can really bring people together.

Musk doesn’t need to own his haters in a tweet. They already work for him for free. It’s entirely possible that we will look back on his tenure at Twitter and conclude that this was his only good joke. Judging by recent moves, he might screw that up, too.

TikTok accounts run by the propaganda arm of the Chinese government have accumulated millions of followers and tens of millions of views, many of them on videos editorializing about U.S. politics without clear disclosure that they were posted by a foreign government.

The accounts are managed by MediaLinks TV, a registered foreign agent and Washington D.C.-based outpost of the main Chinese Communist Party television news outlet, China Central Television. The largest of them are @Pandaorama, which features cute videos about Chinese culture, @The…Optimist, which posts about sustainability, and @NewsTokss, which features coverage of U.S. national and international news.

In the run-up to the 2022 elections, the @NewsTokss account criticized some candidates (mostly Republicans), and favored others (mostly Democrats). A video from July began with the caption “Cruz, Abbott Don’t Care About Us”; a video from October was captioned “Rubio Has Done Absolutely Nothing.” But @NewsTokss did not target only Republicans; another October video asked viewers whether they thought President Joe Biden’s promise to sign a bill codifying abortion rights was a “political manipulation tactic.” Nothing in these videos disclosed to viewers that they were being pushed by a foreign government.

any Chinese play for Taiwan would be accompanied by TikTok aggressively pushing content in America designed to divide public opinion and weaken America’s commitment to Taiwan’s defense.

With all the official GOP machinations against gay marriage, it seems like if McConnell wanted that bill to fail, he could have pressured two Republican senators to vote against it. He said nothing. Trump said nothing. DeSantis said nothing. There was barely a whimper of protest from those who could have influenced this. Mike Lee and Ted Cruz engaged in theatrics, but no one actually used their power to stop this.

They let it pass because they don’t care and they want it to go away as an issue. And that goes for the MAGA GOP as well. Opposition to it in politics is all theater and will have a shelf life in riling up the base.

Evangelical religious convictions might be for one man + one woman marriage. But, the civil/political situation is far different from that and it’s worth recognizing where the GOP actually stands. They could have stopped this. They didn’t. That point should be clear, especially to their evangelical base who looks to the GOP to save America for them.

“I continued to be duped by ChatGPT. It’s embarrassing,” Mr. Schwartz said.

As Mr. Schwartz answered the judge’s questions, the reaction in the courtroom, crammed with close to 70 people who included lawyers, law students, law clerks and professors, rippled across the benches. There were gasps, giggles and sighs. Spectators grimaced, darted their eyes around, chewed on pens.

“This case has reverberated throughout the entire legal profession,” said David Lat, a legal commentator. “It is a little bit like looking at a car wreck.”

The episode, which arose in an otherwise obscure lawsuit, has riveted the tech world, where there has been a growing debate about the dangers — even an existential threat to humanity — posed by artificial intelligence. It has also transfixed lawyers and judges.

Avianca asked Judge Castel to dismiss the lawsuit because the statute of limitations had expired. Mr. Mata’s lawyers responded with a 10-page brief citing more than half a dozen court decisions, with names like Martinez v. Delta Air Lines, Zicherman v. Korean Air Lines and Varghese v. China Southern Airlines, in support of their argument that the suit should be allowed to proceed.After Avianca’s lawyers could not locate the cases, Judge Castel ordered Mr. Mata’s lawyers to provide copies. They submitted a compendium of decisions.It turned out the cases were not real.

Mr. Schwartz, who has practiced law in New York for 30 years, said in a declaration filed with the judge this week that he had learned about ChatGPT from his college-aged children and from articles, but that he had never used it professionally.He told Judge Castel on Thursday that he had believed ChatGPT had greater reach than standard databases.“I heard about this new site, which I falsely assumed was, like, a super search engine,” Mr. Schwartz said.

Irina Raicu, who directs the internet ethics program at Santa Clara University, said this week that the Avianca case clearly showed what critics of such models have been saying, “which is that the vast majority of people who are playing with them and using them don’t really understand what they are and how they work, and in particular what their limitations are.”

“This case has changed the urgency of it,” Professor Roiphe said. “There’s a sense that this is not something that we can mull over in an academic way. It’s something that has affected us right now and has to be addressed.”

In the declaration Mr. Schwartz filed this week, he described how he had posed questions to ChatGPT, and each time it seemed to help with genuine case citations. He attached a printout of his colloquy with the bot, which shows it tossing out words like “sure” and “certainly!”After one response, ChatGPT said cheerily, “I hope that helps!”

it is comforting to think that scientific truth inevitably emerges and scientific frauds will be caught and punished.

Dr. Hwang’s scandal suggests something different. Researchers don’t always have the resources or motivation to replicate others’ experiments

Even if they try to replicate and fail, it is the institution where the scientist works that has the right and responsibility to investigate possible fraud. Research institutes and universities, facing the prospect of an embarrassing scandal, might not do so.

The important thing to remember amid all this, and the thing that has changed the game when it comes to the free speech/content moderation conversation, is that Elon Musk himself loves conspiracy theorie

The media isn’t just unduly critical—a perennial sore spot for Musk—but “all news is to some degree propaganda,” meaning he won’t label actual state-affiliated propaganda outlets on his platform to distinguish their stories from those of the New York Times.

In his mind, they’re engaged in the same activity, so he strikes the faux-populist note that the people can decide for themselves what is true, regardless of objectively very different track records from different sources.

Musk’s “just asking questions” maneuver is a classic Trump tactic that enables him to advertise conspiracy theories while maintaining a sort of deniability.

At what point should we infer that he’s taking the concerns of someone like Loomer seriously not despite but because of her unhinged beliefs?

Musk’s skepticism seems largely to extend to criticism of the far-right, while his credulity for right-wing sources is boundless.

This is part of the argument for content moderation that limits the dispersal of bullshit: People simply don’t have the time, energy, or inclination to seek out the boring truth when stimulated by some online outrage.

Refuting bullshit requires some technological literacy, perhaps some policy knowledge, but most of all it requires time and a willingness to challenge your own prior beliefs, two things that are in precious short supply online.

Brandolini’s Law holds that the amount of energy needed to refute bullshit is an order of magnitude bigger than that needed to produce it.

Here we can return to the example of Loomer’s tweet. People did fact-check her, but it hardly matters: Following Musk’s reply, she ended up receiving over 5 million views, an exponentially larger online readership than is normal for her. In the attention economy, this counts as a major win. “Thank you so much for posting about this, @elonmusk!” she gushed in response to his reply. “I truly appreciate it.”

the problem isn’t limited to elevating Loomer. Musk had his own stock of misinformation to add to the pile. After interacting with her account, Musk followed up last Tuesday by tweeting out last week a 2021 Federalist article claiming that Facebook founder Mark Zuckerberg had “bought” the 2020 election, an allegation previously raised by Trump and others, and which Musk had also brought up during his recent interview with Tucker Carlson.

If Zuckerberg wanted to use his vast fortune to tip the election, it would have been vastly more efficient to create a super PAC with targeted get-out-the-vote operations and advertising. Notwithstanding legitimate criticisms one can make about Facebook’s effect on democracy, and whatever Zuckerberg’s motivations, you have to squint hard to see this as something other than a positive act addressing a real problem.

It’s worth mentioning that the refutations I’ve just sketched of the conspiratorial claims made by Loomer and Musk come out to around 1,200 words. The tweets they wrote, read by millions, consisted of fewer than a hundred words in total. That’s Brandolini’s Law in action—an illustration of why Musk’s cynical free-speech-over-all approach amounts to a policy in favor of disinformation and against democracy.

Moderation is a subject where Zuckerberg’s actions provide a valuable point of contrast with Musk. Through Facebook’s independent oversight board, which has the power to overturn the company’s own moderation decisions, Zuckerberg has at least made an effort to have credible outside actors inform how Facebook deals with moderation issues

Meanwhile, we are still waiting on the content moderation council that Elon Musk promised last October:

The problem is about to get bigger than unhinged conspiracy theorists occasionally receiving a profile-elevating reply from Musk. Twitter is the venue that Tucker Carlson, whom advertisers fled and Fox News fired after it agreed to pay $787 million to settle a lawsuit over its election lies, has chosen to make his comeback. Carlson and Musk are natural allies: They share an obsessive anti-wokeness, a conspiratorial mindset, and an unaccountable sense of grievance peculiar to rich, famous, and powerful men who have taken it upon themselves to rail against the “elites,” however idiosyncratically construed

f the rumors are true that Trump is planning to return to Twitter after an exclusivity agreement with Truth Social expires in June, Musk’s social platform might be on the verge of becoming a gigantic rec room for the populist right.

These days, Twitter increasingly feels like a neighborhood where the amiable guy-next-door is gone and you suspect his replacement has a meth lab in the basement.

even if Twitter’s increasingly broken information environment doesn’t sway the results, it is profoundly damaging to our democracy that so many people have lost faith in our electoral system. The sort of claims that Musk is toying with in his feed these days do not help. It is one thing for the owner of a major source of information to be indifferent to the content that gets posted to that platform. It is vastly worse for an owner to actively fan the flames of disinformation and doubt.

Industry leaders believe the new A.I. systems could be as important as the introduction of the web browser in the early 1990s and could lead to breakthroughs in areas ranging from drug research to education.

But gnawing at many industry insiders is a fear that they are releasing something dangerous into the wild. Generative A.I. can already be a tool for misinformation. Soon, it could be a risk to jobs. Somewhere down the line, tech’s biggest worriers say, it could be a risk to humanity.

“It is hard to see how you can prevent the bad actors from using it for bad things,” Dr. Hinton said.

After the San Francisco start-up OpenAI released a new version of ChatGPT in March, more than 1,000 technology leaders and researchers signed an open letter calling for a six-month moratorium on the development of new systems because A.I technologies pose “profound risks to society and humanity.

Several days later, 19 current and former leaders of the Association for the Advancement of Artificial Intelligence, a 40-year-old academic society, released their own letter warning of the risks of A.I. That group included Eric Horvitz, chief scientific officer at Microsoft, which has deployed OpenAI’s technology across a wide range of products, including its Bing search engine.

Dr. Hinton, often called “the Godfather of A.I.,” did not sign either of those letters and said he did not want to publicly criticize Google or other companies until he had quit his job

Dr. Hinton, a 75-year-old British expatriate, is a lifelong academic whose career was driven by his personal convictions about the development and use of A.I. In 1972, as a graduate student at the University of Edinburgh, Dr. Hinton embraced an idea called a neural network. A neural network is a mathematical system that learns skills by analyzing data. At the time, few researchers believed in the idea. But it became his life’s work.

Dr. Hinton is deeply opposed to the use of artificial intelligence on the battlefield — what he calls “robot soldiers.”

In 2012, Dr. Hinton and two of his students in Toronto, Ilya Sutskever and Alex Krishevsky, built a neural network that could analyze thousands of photos and teach itself to identify common objects, such as flowers, dogs and cars.

In 2018, Dr. Hinton and two other longtime collaborators received the Turing Award, often called “the Nobel Prize of computing,” for their work on neural networks.

Around the same time, Google, OpenAI and other companies began building neural networks that learned from huge amounts of digital text. Dr. Hinton thought it was a powerful way for machines to understand and generate language, but it was inferior to the way humans handled language.

Then, last year, as Google and OpenAI built systems using much larger amounts of data, his view changed. He still believed the systems were inferior to the human brain in some ways but he thought they were eclipsing human intelligence in others.

“Maybe what is going on in these systems,” he said, “is actually a lot better than what is going on in the brain.”

As companies improve their A.I. systems, he believes, they become increasingly dangerous. “Look at how it was five years ago and how it is now,” he said of A.I. technology. “Take the difference and propagate it forwards. That’s scary.”

Until last year, he said, Google acted as a “proper steward” for the technology, careful not to release something that might cause harm. But now that Microsoft has augmented its Bing search engine with a chatbot — challenging Google’s core business — Google is racing to deploy the same kind of technology. The tech giants are locked in a competition that might be impossible to stop, Dr. Hinton said.

His immediate concern is that the internet will be flooded with false photos, videos and text, and the average person will “not be able to know what is true anymore.”

He is also worried that A.I. technologies will in time upend the job market. Today, chatbots like ChatGPT tend to complement human workers, but they could replace paralegals, personal assistants, translators and others who handle rote tasks. “It takes away the drudge work,” he said. “It might take away more than that.”

Down the road, he is worried that future versions of the technology pose a threat to humanity because they often learn unexpected behavior from the vast amounts of data they analyze. This becomes an issue, he said, as individuals and companies allow A.I. systems not only to generate their own computer code but actually run that code on their ow

And he fears a day when truly autonomous weapons — those killer robots — become reality.

“The idea that this stuff could actually get smarter than people — a few people believed that,” he said. “But most people thought it was way off. And I thought it was way off. I thought it was 30 to 50 years or even longer away. Obviously, I no longer think that.”

Many other experts, including many of his students and colleagues, say this threat is hypothetical. But Dr. Hinton believes that the race between Google and Microsoft and others will escalate into a global race that will not stop without some sort of global regulation.

But that may be impossible, he said. Unlike with nuclear weapons, he said, there is no way of knowing whether companies or countries are working on the technology in secret. The best hope is for the world’s leading scientists to collaborate on ways of controlling the technology. “I don’t think they should scale this up more until they have understood whether they can control it,” he said.

Dr. Hinton said that when people used to ask him how he could work on technology that was potentially dangerous, he would paraphrase Robert Oppenheimer, who led the U.S. effort to build the atomic bomb: “When you see something that is technically sweet, you go ahead and do it.”

He does not say that anymore.

The contrary insistence that the glories of art and thought are not evolutionary adaptations, or that the mind is not the brain, or that love is not just biology’s bait for sex, now amounts to a kind of heresy.

Greif’s book is a prehistory of our predicament, of our own “crisis of man.” (The “man” is archaic, the “crisis” is not.) It recognizes that the intellectual history of modernity may be written in part as the epic tale of a series of rebellions against humanism

We are not becoming transhumanists, obviously. We are too singular for the Singularity. But are we becoming posthumanists?

In American culture right now, as I say, the worldview that is ascendant may be described as posthumanism.

The posthumanism of the 1970s and 1980s was more insular, an academic affair of “theory,” an insurgency of professors; our posthumanism is a way of life, a social fate.

In “The Age of the Crisis of Man: Thought and Fiction in America, 1933-1973,” the gifted essayist Mark Greif, who reveals himself to be also a skillful historian of ideas, charts the history of the 20th-century reckonings with the definition of “man.

Here is his conclusion: “Anytime your inquiries lead you to say, ‘At this moment we must ask and decide who we fundamentally are, our solution and salvation must lie in a new picture of ourselves and humanity, this is our profound responsibility and a new opportunity’ — just stop.” Greif seems not to realize that his own book is a lasting monument to precisely such inquiry, and to its grandeur

“Answer, rather, the practical matters,” he counsels, in accordance with the current pragmatist orthodoxy. “Find the immediate actions necessary to achieve an aim.” But before an aim is achieved, should it not be justified? And the activity of justification may require a “picture of ourselves.” Don’t just stop. Think harder. Get it right.

— but rather in the appeal to their defiantly nonutilitarian character, so that individuals can know more than how things work, and develop their powers of discernment and judgment, their competence in matters of truth and goodness and beauty, to equip themselves adequately for the choices and the crucibles of private and public life.

Who has not felt superior to humanism? It is the cheapest target of all: Humanism is sentimental, flabby, bourgeois, hypocritical, complacent, middlebrow, liberal, sanctimonious, constricting and often an alibi for power

what is humanism? For a start, humanism is not the antithesis of religion, as Pope Francis is exquisitely demonstrating

The worldview takes many forms: a philosophical claim about the centrality of humankind to the universe, and about the irreducibility of the human difference to any aspect of our animality

Here is a humanist proposition for the age of Google: The processing of information is not the highest aim to which the human spirit can aspire, and neither is competitiveness in a global economy. The character of our society cannot be determined by engineers.

And posthumanism? It elects to understand the world in terms of impersonal forces and structures, and to deny the importance, and even the legitimacy, of human agency.

There have been humane posthumanists and there have been inhumane humanists. But the inhumanity of humanists may be refuted on the basis of their own worldview

the condemnation of cruelty toward “man the machine,” to borrow the old but enduring notion of an 18th-century French materialist, requires the importation of another framework of judgment. The same is true about universalism, which every critic of humanism has arraigned for its failure to live up to the promise of a perfect inclusiveness

there has never been a universalism that did not exclude. Yet the same is plainly the case about every particularism, which is nothing but a doctrine of exclusion; and the correction of particularism, the extension of its concept and its care, cannot be accomplished in its own name. It requires an idea from outside, an idea external to itself, a universalistic idea, a humanistic idea.

Asking universalism to keep faith with its own principles is a perennial activity of moral life. Asking particularism to keep faith with its own principles is asking for trouble.

there is no more urgent task for American intellectuals and writers than to think critically about the salience, even the tyranny, of technology in individual and collective life

a methodological claim about the most illuminating way to explain history and human affairs, and about the essential inability of the natural sciences to offer a satisfactory explanation; a moral claim about the priority, and the universal nature, of certain values, not least tolerance and compassion

“Our very mastery seems to escape our mastery,” Michel Serres has anxiously remarked. “How can we dominate our domination; how can we master our own mastery?”

universal accessibility is not the end of the story, it is the beginning. The humanistic methods that were practiced before digitalization will be even more urgent after digitalization, because we will need help in navigating the unprecedented welter

Searches for keywords will not provide contexts for keywords. Patterns that are revealed by searches will not identify their own causes and reasons

The new order will not relieve us of the old burdens, and the old pleasures, of erudition and interpretation.

Is all this — is humanism — sentimental? But sentimentality is not always a counterfeit emotion. Sometimes sentiment is warranted by reality.

The persistence of humanism through the centuries, in the face of formidable intellectual and social obstacles, has been owed to the truth of its representations of our complexly beating hearts, and to the guidance that it has offered, in its variegated and conflicting versions, for a soulful and sensitive existence

a complacent humanist is a humanist who has not read his books closely, since they teach disquiet and difficulty. In a society rife with theories and practices that flatten and shrink and chill the human subject, the humanist is the dissenter.

Such a dark age is a growing possibility. In a recent report, the National Academies of Sciences, Engineering and Medicine concluded that human-caused global warming was already altering patterns of some extreme weather events

disrupting nature’s patterns could extend well beyond extreme weather, with far more pervasive impacts.

Our foundation of Earth knowledge, largely derived from historically observed patterns, has been central to society’s progress.

Science has accelerated this learning process through advanced observation methods and pattern discovery techniques. These allow us to anticipate the future with a consistency unimaginable to our ancestors

As Earth’s warming stabilizes, new patterns begin to appear. At first, they are confusing and hard to identify. Scientists note similarities to Earth’s emergence from the last ice age. These new patterns need many years — sometimes decades or more — to reveal themselves fully, even when monitored with our sophisticated observing systems

The list of possible disruptions is long and alarming. We could see changes to the prevalence of crop and human pests, like locust plagues set off by drought conditions; forest fire frequency; the dynamics of the predator-prey food chain; the identification and productivity of reliably arable land, and the predictability of agriculture output.

Historians of the next century will grasp the importance of this decline in our ability to predict the future. They may mark the coming decades of this century as the period during which humanity, despite rapid technological and scientific advances, achieved “peak knowledge” about the planet it occupies

The intermediate time period is our big challenge. Without substantial scientific breakthroughs, we will remain reliant on pattern-based methods for time periods between a month and a decade. The problem is, as the planet warms, these patterns will become increasingly difficult to discern.

The oceans, which play a major role in global weather patterns, will also see substantial changes as global temperatures rise. Ocean currents and circulation patterns evolve on time scales of decades and longer, and fisheries change in response. We lack reliable, physics-based models to tell us how this occurs

Civilization’s understanding of Earth has expanded enormously in recent decades, making humanity safer and more prosperous. As the patterns that we have come to expect are disrupted by warming temperatures, we will face huge challenges feeding a growing population and prospering within our planet’s finite resources. New developments in science offer our best hope for keeping up, but this is by no means guaranteed

Our grandchildren could grow up knowing less about the planet than we do today. This is not a legacy we want to leave them. Yet we are on the verge of ensuring this happens.

Also, emotional labeling: ‘You sound like you were hurt by that.’ ‘You sound like it must have been really annoying.’

“Say you’re sorry when you’re not sorry,” she said. “Let bygones be bygones.

instead of trying to bargain with the grandfather or acknowledge his presenting emotion by telling him he’s being impatient, you should address the underlying emotion

Little verbal encouragements: ‘Unh-huh,’ ‘Mm-hmm.’ A nod of the head to let them know you’re there.”

the unsolicited apology. “There’ve been times,” he said, “with people I was close with, when I didn’t think I was wrong, but I said, ‘You know, I realize I’ve been a jerk this entire time.’ Well over half the time, people are going to respond positively to that. They’re going to make a reciprocating sort of confession. Then you’re started on the right track.”

“You have to find creative ways to say, ‘I really appreciate your point of view, and it’s great to have an opportunity to hear how strongly you feel about that, but my own view is different.’ Try to find ways to acknowledge what they’re saying without agreeing or disagreeing with it.”

Tone is king here: subtle vocal inflections can impart either “I disagree, let’s move on,” or “I disagree, let’s turn this into ‘The Jerry Springer Show.’ 

maybe you just say: ‘I’m still searching. I’m not in the same place where you are about what you believe.’ ”

“Instead of lying, we call it minimizing. You try to get people to think that a situation isn’t so bad, you break it down for them so they see that it isn’t the end of the world, that maybe they don’t need to make such a big deal of it. We try to reframe things rather than flat-out lie.”

Following what it described as Meta’s unsatisfactory response to its complaints, Match began canceling Meta advertising for some of its apps, such as Tinder, in October. It has since halted all Reels advertising and stopped promoting its major brands on any of Meta’s platforms. “We have no desire to pay Meta to market our brands to predators or place our ads anywhere near this content,” said Match spokeswoman Justine Sacco.

The Journal set up the test accounts after observing that the thousands of followers of such young people’s accounts often include large numbers of adult men, and that many of the accounts who followed those children also had demonstrated interest in sex content related to both children and adults

The Journal also tested what the algorithm would recommend after its accounts followed some of those users as well, which produced more-disturbing content interspersed with ads.

The Canadian Centre for Child Protection, a child-protection group, separately ran similar tests on its own, with similar results.

Meta said the Journal’s tests produced a manufactured experience that doesn’t represent what billions of users see. The company declined to comment on why the algorithms compiled streams of separate videos showing children, sex and advertisements, but a spokesman said that in October it introduced new brand safety tools that give advertisers greater control over where their ads appear, and that Instagram either removes or reduces the prominence of four million videos suspected of violating its standards each month. 

The Journal reported in June that algorithms run by Meta, which owns both Facebook and Instagram, connect large communities of users interested in pedophilic content. The Meta spokesman said a task force set up after the Journal’s article has expanded its automated systems for detecting users who behave suspiciously, taking down tens of thousands of such accounts each month. The company also is participating in a new industry coalition to share signs of potential child exploitation.

“Our systems are effective at reducing harmful content, and we’ve invested billions in safety, security and brand suitability solutions,” said Samantha Stetson, a Meta vice president who handles relations with the advertising industry. She said the prevalence of inappropriate content on Instagram is low, and that the company invests heavily in reducing it.

Even before the 2020 launch of Reels, Meta employees understood that the product posed safety concerns, according to former employees.

Robbie McKay, a spokesman for Bumble, said it “would never intentionally advertise adjacent to inappropriate content,” and that the company is suspending its ads across Meta’s platforms.

Meta created Reels to compete with TikTok, the video-sharing platform owned by Beijing-based ByteDance. Both products feed users a nonstop succession of videos posted by others, and make money by inserting ads among them. Both companies’ algorithms show to a user videos the platforms calculate are most likely to keep that user engaged, based on his or her past viewing behavior

The Journal reporters set up the Instagram test accounts as adults on newly purchased devices and followed the gymnasts, cheerleaders and other young influencers. The tests showed that following only the young girls triggered Instagram to begin serving videos from accounts promoting adult sex content alongside ads for major consumer brands, such as one for Walmart that ran after a video of a woman exposing her crotch. 

When the test accounts then followed some users who followed those same young people’s accounts, they yielded even more disturbing recommendations. The platform served a mix of adult pornography and child-sexualizing material, such as a video of a clothed girl caressing her torso and another of a child pantomiming a sex act.

Experts on algorithmic recommendation systems said the Journal’s tests showed that while gymnastics might appear to be an innocuous topic, Meta’s behavioral tracking has discerned that some Instagram users following preteen girls will want to engage with videos sexualizing children, and then directs such content toward them.

Instagram’s system served jarring doses of salacious content to those test accounts, including risqué footage of children as well as overtly sexual adult videos—and ads for some of the biggest U.S. brands.

Preventing the system from pushing noxious content to users interested in it, they said, requires significant changes to the recommendation algorithms that also drive engagement for normal users. Company documents reviewed by the Journal show that the company’s safety staffers are broadly barred from making changes to the platform that might reduce daily active users by any measurable amount.

The test accounts showed that advertisements were regularly added to the problematic Reels streams. Ads encouraging users to visit Disneyland for the holidays ran next to a video of an adult acting out having sex with her father, and another of a young woman in lingerie with fake blood dripping from her mouth. An ad for Hims ran shortly after a video depicting an apparently anguished woman in a sexual situation along with a link to what was described as “the full video.”

Current and former Meta employees said in interviews that the tendency of Instagram algorithms to aggregate child sexualization content from across its platform was known internally to be a problem. Once Instagram pigeonholes a user as interested in any particular subject matter, they said, its recommendation systems are trained to push more related content to them.

Part of the problem is that automated enforcement systems have a harder time parsing video content than text or still images. Another difficulty arises from how Reels works: Rather than showing content shared by users’ friends, the way other parts of Instagram and Facebook often do, Reels promotes videos from sources they don’t follow

In an analysis conducted shortly before the introduction of Reels, Meta’s safety staff flagged the risk that the product would chain together videos of children and inappropriate content, according to two former staffers. Vaishnavi J, Meta’s former head of youth policy, described the safety review’s recommendation as: “Either we ramp up our content detection capabilities, or we don’t recommend any minor content,” meaning any videos of children.

At the time, TikTok was growing rapidly, drawing the attention of Instagram’s young users and the advertisers targeting them. Meta didn’t adopt either of the safety analysis’s recommendations at that time, according to J.

Stetson, Meta’s liaison with digital-ad buyers, disputed that Meta had neglected child safety concerns ahead of the product’s launch. “We tested Reels for nearly a year before releasing it widely, with a robust set of safety controls and measures,” she said. 

After initially struggling to maximize the revenue potential of its Reels product, Meta has improved how its algorithms recommend content and personalize video streams for users

Among the ads that appeared regularly in the Journal’s test accounts were those for “dating” apps and livestreaming platforms featuring adult nudity, massage parlors offering “happy endings” and artificial-intelligence chatbots built for cybersex. Meta’s rules are supposed to prohibit such ads.

The Journal informed Meta in August about the results of its testing. In the months since then, tests by both the Journal and the Canadian Centre for Child Protection show that the platform continued to serve up a series of videos featuring young children, adult content and apparent promotions for child sex material hosted elsewhere. 

As of mid-November, the center said Instagram is continuing to steadily recommend what the nonprofit described as “adults and children doing sexual posing.”

Meta hasn’t offered a timetable for resolving the problem or explained how in the future it would restrict the promotion of inappropriate content featuring children. 

The Journal’s test accounts found that the problem even affected Meta-related brands. Ads for the company’s WhatsApp encrypted chat service and Meta’s Ray-Ban Stories glasses appeared next to adult pornography. An ad for Lean In Girls, the young women’s empowerment nonprofit run by former Meta Chief Operating Officer Sheryl Sandberg, ran directly before a promotion for an adult sex-content creator who often appears in schoolgirl attire. Sandberg declined to comment. 

Through its own tests, the Canadian Centre for Child Protection concluded that Instagram was regularly serving videos and pictures of clothed children who also appear in the National Center for Missing and Exploited Children’s digital database of images and videos confirmed to be child abuse sexual material. The group said child abusers often use the images of the girls to advertise illegal content for sale in dark-web forums.

The nature of the content—sexualizing children without generally showing nudity—reflects the way that social media has changed online child sexual abuse, said Lianna McDonald, executive director for the Canadian center. The group has raised concerns about the ability of Meta’s algorithms to essentially recruit new members of online communities devoted to child sexual abuse, where links to illicit content in more private forums proliferate.

“Time and time again, we’ve seen recommendation algorithms drive users to discover and then spiral inside of these online child exploitation communities,” McDonald said, calling it disturbing that ads from major companies were subsidizing that process.

it lacks practical application. If humans found something on another planet that seemed to be alive, how much time would we have to sit around and wait for it to evolve?

The only life we know is life on Earth. Some scientists call this the n=1 problem, where n is the number of examples from which we can generalize.

Cronin studies the origin of life, also a major interest of Walker’s, and it turned out that, when expressed in math, their ideas were essentially the same. They had both zeroed in on complexity as a hallmark of life. Cronin is devising a way to systematize and measure complexity, which he calls Assembly Theory.

What we really want is more than a definition of life. We want to know what life, fundamentally, is. For that kind of understanding, scientists turn to theories. A theory is a scientific fundamental. It not only answers questions, but frames them, opening new lines of inquiry. It explains our observations and yields predictions for future experiments to test.

Consider the difference between defining gravity as “the force that makes an apple fall to the ground” and explaining it, as Newton did, as the universal attraction between all particles in the universe, proportional to the product of their masses and so on. A definition tells us what we already know; a theory changes how we understand things.

the potential rewards of unlocking a theory of life have captivated a clutch of researchers from a diverse set of disciplines. “There are certain things in life that seem very hard to explain,” Sara Imari Walker, a physicist at Arizona State University who has been at the vanguard of this work, told me. “If you scratch under the surface, I think there is some structure that suggests formalization and mathematical laws.”

Walker doesn’t think about life as a biologist—or an astrobiologist—does. When she talks about signs of life, she doesn’t talk about carbon, or water, or RNA, or phosphine. She reaches for different examples: a cup, a cellphone, a chair. These objects are not alive, of course, but they’re clearly products of life. In Walker’s view, this is because of their complexity. Life brings complexity into the universe, she says, in its own being and in its products, because it has memory: in DNA, in repeating molecular reactions, in the instructions for making a chair.

He measures the complexity of an object—say, a molecule—by calculating the number of steps necessary to put the object’s smallest building blocks together in that certain way. His lab has found, for example, when testing a wide range of molecules, that those with an “assembly number” above 15 were exclusively the products of life. Life makes some simpler molecules, too, but only life seems to make molecules that are so complex.

I reach for the theory of gravity as a familiar parallel. Someone might ask, “Okay, so in terms of gravity, where are we in terms of our understanding of life? Like, Newton?” Further back, further back, I say. Walker compares us to pre-Copernican astronomers, reliant on epicycles, little orbits within orbits, to make sense of the motion we observe in the sky. Cleland has put it in terms of chemistry, in which case we’re alchemists, not even true chemists yet

Walker’s whole notion is that it’s not only theoretically possible but genuinely achievable to identify something smaller—much smaller—that still nonetheless simply must be the result of life. The model would, in a sense, function like biosignatures as an indication of life that could be searched for. But it would drastically improve and expand the targets.

Walker would use the theory to predict what life on a given planet might look like. It would require knowing a lot about the planet—information we might have about Venus, but not yet about a distant exoplanet—but, crucially, would not depend at all on how life on Earth works, what life on Earth might do with those materials.

Without the ability to divorce the search for alien life from the example of life we know, Walker thinks, a search is almost pointless. “Any small fluctuations in simple chemistry can actually drive you down really radically different evolutionary pathways,” she told me. “I can’t imagine [life] inventing the same biochemistry on two worlds.”

Walker’s approach is grounded in the work of, among others, the philosopher of science Carol Cleland, who wrote The Quest for a Universal Theory of Life.

she warns that any theory of life, just like a definition, cannot be constrained by the one example of life we currently know. “It’s a mistake to start theorizing on the basis of a single example, even if you’re trying hard not to be Earth-centric. Because you’re going to be Earth-centric,” Cleland told me. In other words, until we find other examples of life, we won’t have enough data from which to devise a theory. Abstracting away from Earthliness isn’t a way to be agnostic, Cleland argues. It’s a way to be too abstract.

Cleland calls for a more flexible search guided by what she calls “tentative criteria.” Such a search would have a sense of what we’re looking for, but also be open to anomalies that challenge our preconceptions, detections that aren’t life as we expected but aren’t familiar not-life either—neither a flower nor a rock

it speaks to the hope that exploration and discovery might truly expand our understanding of the cosmos and our own world.

The astrobiologist Kimberley Warren-Rhodes studies life on Earth that lives at the borders of known habitability, such as in Chile’s Atacama Desert. The point of her experiments is to better understand how life might persist—and how it might be found—on Mars. “Biology follows some rules,” she told me. The more of those rules you observe, the better sense you have of where to look on other worlds.

In this light, the most immediate concern in our search for extraterrestrial life might be less that we only know about life on Earth, and more that we don’t even know that much about life on Earth in the first place. “I would say we understand about 5 percent,” Warren-Rhodes estimates of our cumulative knowledge. N=1 is a problem, and we might be at more like n=.05.

who knows how strange life on another world might be? What if life as we know it is the wrong life to be looking for?

We understand so little, and we think we’re ready to find other life?

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.

By that point, @WarMonitors had drawn 132 million views and @sentdefender 302 million views. The University of Washington report said the seven accounts were achieving more views than established media accounts despite having fewer followers.

Both of the accounts describe themselves as news aggregators and reporters of “open-source intelligence,” mainly conveying items that have already surfaced elsewhere to a new audience. (The @sentdefender account’s display name is OSINTdefender).

Unlike more established open-source accounts, they often do not cite a source, let alone include links to the media in which they appear with more context.

The behavior, though, seems optimized for X’s latest changes, which Musk has said are designed to keep people from on the app instead of clicking away to read or watch more. Musk has also taken steps to reduce the traffic going from X to large media organizations, including eliminating headlines from posted articles.

I dug deeper into what lies beneath these grand ideas. What’s the one thing each of us could do that would lead to potential world change?

There’s an old African proverb: “Each One Teach One”. The phrase originated in the United States when Africans were enslaved and denied education. When someone learned how to read or write, it became their responsibility to teach someone else.

Something similar might be said about “The Maniac,” Benjamín Labatut’s new novel, whose designated Prometheus is the Hungarian-born polymath John von Neumann, a pioneer of A.I. as well as an originator of game theory.

both narratives are grounded in fact, using the lives and ideas of real people as fodder for allegory and attempting to write a new mythology of the modern world.

Oppenheimer wasn’t a principal author of that theory. Those scientists, among them Niels Bohr, Erwin Schrödinger and Werner Heisenberg, were characters in Labatut’s previous novel, “When We Cease to Understand the World.” That book provides harrowing illumination of a zone where scientific insight becomes indistinguishable from madness or, perhaps, divine inspiration. The basic truths of the new science seem to explode all common sense: A particle is also a wave; one thing can be in many places at once; “scientific method and its object could no longer be prised apart.”

More than most intellectual bastions, the institute is a house of theory. The Promethean mad scientists of the 19th century were creatures of the laboratory, tinkering away at their infernal machines and homemade monsters. Their 20th-century counterparts were more likely to be found at the chalkboard, scratching out our future in charts, equations and lines of code.

The consequences are real enough, of course. The bombs dropped on Hiroshima and Nagasaki killed at least 100,000 people. Their successor weapons, which Oppenheimer opposed, threatened to kill everybody els

on Neumann and Oppenheimer were close contemporaries, born a year apart to prosperous, assimilated Jewish families in Budapest and New York. Von Neumann, conversant in theoretical physics, mathematics and analytic philosophy, worked for Oppenheimer at Los Alamos during the Manhattan Project. He spent most of his career at the Institute for Advanced Study, where Oppenheimer served as director after the war.

the intellectual drama of “Oppenheimer” — as distinct from the dramas of his personal life and his political fate — is about how abstraction becomes reality. The atomic bomb may be, for the soldiers and politicians, a powerful strategic tool in war and diplomacy. For the scientists, it’s something else: a proof of concept, a concrete manifestation of quantum theory.

. Oppenheimer’s designation as Prometheus is precise. He snatched a spark of quantum insight from those divinities and handed it to Harry S. Truman and the U.S. Army Air Forces.

Labatut’s account of von Neumann is, if anything, more unsettling than “Oppenheimer.” We had decades to get used to the specter of nuclear annihilation, and since the end of the Cold War it has been overshadowed by other terrors. A.I., on the other hand, seems newly sprung from science fiction, and especially terrifying because we can’t quite grasp what it will become.

Von Neumann, who died in 1957, did not teach machines to play Go. But when asked “what it would take for a computer, or some other mechanical entity, to begin to think and behave like a human being,” he replied that “it would have to play, like a child.”

MANIAC. The name was an acronym for “Mathematical Analyzer, Numerical Integrator and Computer,” which doesn’t sound like much of a threat. But von Neumann saw no limit to its potential. “If you tell me precisely what it is a machine cannot do,” he declared, “then I can always make a machine which will do just that.” MANIAC didn’t just represent a powerful new kind of machine, but “a new type of life.”

If Oppenheimer took hold of the sacred fire of atomic power, von Neumann’s theft was bolder and perhaps more insidious: He stole a piece of the human essence. He’s not only a modern Prometheus; he’s a second Frankenstein, creator of an all but human, potentially more than human monster.

“Technological power as such is always an ambivalent achievement,” Labatut’s von Neumann writes toward the end of his life, “and science is neutral all through, providing only means of control applicable to any purpose, and indifferent to all. It is not the particularly perverse destructiveness of one specific invention that creates danger. The danger is intrinsic. For progress there is no cure.”

we lack practical knowledge about how to give one another the attention we crave

Some days it seems like we have intentionally built a society that gives people little guidance on how to perform the most important activities of life.

If I can shine positive attention on others, I can help them to blossom. If I see potential in others, they may come to see potential in themselves. True understanding is one of the most generous gifts any of us can give to another.

I see the results, too, in the epidemic of invisibility I encounter as a journalist. I often find myself interviewing people who tell me they feel unseen and disrespected

I’ve been working on a book called “How to Know a Person: The Art of Seeing Others Deeply and Being Deeply Seen.” I wanted it to be a practical book — so that I would learn these skills myself, and also, I hope, teach people how to understand others, how to make them feel respected, valued and understood.

I wanted to learn these skills for utilitarian reasons

If I’m going to work with someone, I don’t just want to see his superficial technical abilities. I want to understand him more deeply — to know whether he is calm in a crisis, comfortable with uncertainty or generous to colleagues.

I wanted to learn these skills for moral reasons

Many of the most productive researchers were in the habit of having breakfast or lunch with an electrical engineer named Harry Nyquist. Nyquist really listened to their challenges, got inside their heads, brought out the best in them. Nyquist, too, was an illuminator.

Finally, I wanted to learn these skills for reasons of national survival

We evolved to live with small bands of people like ourselves. Now we live in wonderfully diverse societies, but our social skills are inadequate for the divisions that exist. We live in a brutalizing time.

In any collection of humans, there are diminishers and there are illuminators. Diminishers are so into themselves, they make others feel insignificant

They stereotype and label. If they learn one thing about you, they proceed to make a series of assumptions about who you must be.

Illuminators, on the other hand, have a persistent curiosity about other people.

hey have been trained or have trained themselves in the craft of understanding others. They know how to ask the right questions at the right times — so that they can see things, at least a bit, from another’s point of view. They shine the brightness of their care on people and make them feel bigger, respected, lit up.

A biographer of the novelist E.M. Forster wrote, “To speak with him was to be seduced by an inverse charisma, a sense of being listened to with such intensity that you had to be your most honest, sharpest, and best self.” Imagine how good it would be to offer people that kind of hospitality.

social clumsiness I encounter too frequently. I’ll be leaving a party or some gathering and I’ll realize: That whole time, nobody asked me a single question. I estimate that only 30 percent of the people in the world are good question askers. The rest are nice people, but they just don’t ask. I think it’s because they haven’t been taught to and so don’t display basic curiosity about others.

Many years ago, patent lawyers at Bell Labs were trying to figure out why some employees were much more productive than others.

Illuminators are a joy to be around

The gift of attention.

Each of us has a characteristic way of showing up in the world. A person who radiates warmth will bring out the glowing sides of the people he meets, while a person who conveys formality can meet the same people and find them stiff and detached. “Attention,” the psychiatrist Iain McGilchrist writes, “is a moral act: It creates, brings aspects of things into being.”

When Jimmy sees a person — any person — he is seeing a creature with infinite value and dignity, made in the image of God. He is seeing someone so important that Jesus was willing to die for that person.

Accompaniment.

Accompaniment is an other-centered way of being with people during the normal routines of life.

If we are going to accompany someone well, we need to abandon the efficiency mind-set. We need to take our time and simply delight in another person’s way of being

I know a couple who treasure friends who are what they call “lingerable.” These are the sorts of people who are just great company, who turn conversation into a form of play and encourage you to be yourself. It’s a great talent, to be lingerable.

Other times, a good accompanist does nothing more than practice the art of presence, just being there.

The art of conversation.

If you tell me something important and then I paraphrase it back to you, what psychologists call “looping,” we can correct any misimpressions that may exist between us.

Be a loud listener. When another person is talking, you want to be listening so actively you’re burning calories.

He’s continually responding to my comments with encouraging affirmations, with “amen,” “aha” and “yes!” I love talking to that guy.

I no longer ask people: What do you think about that? Instead, I ask: How did you come to believe that? That gets them talking about the people and experiences that shaped their values.

Storify whenever possible

People are much more revealing and personal when they are telling stories.

Do the looping, especially with adolescents

If you want to know how the people around you see the world, you have to ask them. Here are a few tips I’ve collected from experts on how to become a better conversationalist:

Turn your partner into a narrator

People don’t go into enough detail when they tell you a story. If you ask specific follow-up questions — Was your boss screaming or irritated when she said that to you? What was her tone of voice? — then they will revisit the moment in a more concrete way and tell a richer story

If somebody tells you he is having trouble with his teenager, don’t turn around and say: “I know exactly what you mean. I’m having incredible problems with my own Susan.” You may think you’re trying to build a shared connection, but what you are really doing is shifting attention back to yourself.

Don’t be a topper

Big questions.

The quality of your conversations will depend on the quality of your questions

As adults, we get more inhibited with our questions, if we even ask them at all. I’ve learned we’re generally too cautious. People are dying to tell you their stories. Very often, no one has ever asked about them.

So when I first meet people, I tend to ask them where they grew up. People are at their best when talking about their childhoods. Or I ask where they got their names. That gets them talking about their families and ethnic backgrounds.

After you’ve established trust with a person, it’s great to ask 30,000-foot questions, ones that lift people out of their daily vantage points and help them see themselves from above.

These are questions like: What crossroads are you at? Most people are in the middle of some life transition; this question encourages them to step back and describe theirs

I’ve learned it’s best to resist this temptation. My first job in any conversation across difference or inequality is to stand in other people’s standpoint and fully understand how the world looks to them. I’ve found it’s best to ask other people three separate times and in three different ways about what they have just said. “I want to understand as much as possible. What am I missing here?”

Can you be yourself where you are and still fit in? And: What would you do if you weren’t afraid? Or: If you died today, what would you regret not doing?

“What have you said yes to that you no longer really believe in?

“What is the no, or refusal, you keep postponing?”

“What is the gift you currently hold in exile?,” meaning, what talent are you not using

“Why you?” Why was it you who started that business? Why was it you who ran for school board? She wants to understand why a person felt the call of responsibility. She wants to understand motivation.

“How do your ancestors show up in your life?” But it led to a great conversation in which each of us talked about how we’d been formed by our family heritages and cultures. I’ve come to think of questioning as a moral practice. When you’re asking good questions, you’re adopting a posture of humility, and you’re honoring the other person.

Stand in their standpoint

I used to feel the temptation to get defensive, to say: “You don’t know everything I’m dealing with. You don’t know that I’m one of the good guys here.”

If the next five years is a chapter in your life, what is the chapter about?

every conversation takes place on two levels

The official conversation is represented by the words we are saying on whatever topic we are talking about. The actual conversations occur amid the ebb and flow of emotions that get transmitted as we talk. With every comment I am showing you respect or disrespect, making you feel a little safer or a little more threatened.

If we let fear and a sense of threat build our conversation, then very quickly our motivations will deteriorate

If, on the other hand, I show persistent curiosity about your viewpoint, I show respect. And as the authors of “Crucial Conversations” observe, in any conversation, respect is like air. When it’s present nobody notices it, and when it’s absent it’s all anybody can think about.

the novelist and philosopher Iris Murdoch argued that the essential moral skill is being considerate to others in the complex circumstances of everyday life. Morality is about how we interact with each other minute by minute.

I used to think the wise person was a lofty sage who doled out life-altering advice in the manner of Yoda or Dumbledore or Solomon. But now I think the wise person’s essential gift is tender receptivity.

The illuminators offer the privilege of witness. They take the anecdotes, rationalizations and episodes we tell and see us in a noble struggle. They see the way we’re navigating the dialectics of life — intimacy versus independence, control versus freedom — and understand that our current selves are just where we are right now on our long continuum of growth.

The really good confidants — the people we go to when we are troubled — are more like coaches than philosopher kings.

They take in your story, accept it, but prod you to clarify what it is you really want, or to name the baggage you left out of your clean tale.

They’re not here to fix you; they are here simply to help you edit your story so that it’s more honest and accurate. They’re here to call you by name, as beloved

They see who you are becoming before you do and provide you with a reputation you can then go live into.

there has been a comprehensive shift in my posture. I think I’m more approachable, vulnerable. I know more about human psychology than I used to. I have a long way to go, but I’m evidence that people can change, sometimes dramatically, even in middle and older age.

For the well-being of its users, Bejar argued, Meta needed to change course, focusing less on a flawed system of rules-based policing and more on addressing such bad experiences

The company would need to collect data on what upset users and then work to combat the source of it, nudging those who made others uncomfortable to improve their behavior and isolating communities of users who deliberately sought to harm others.

“I am appealing to you because I believe that working this way will require a culture shift,” Bejar wrote to Zuckerberg—the company would have to acknowledge that its existing approach to governing Facebook and Instagram wasn’t working.

During and after Bejar’s time as a consultant, Meta spokesman Andy Stone said, the company has rolled out several product features meant to address some of the Well-Being Team’s findings. Those features include warnings to users before they post comments that Meta’s automated systems flag as potentially offensive, and reminders to be kind when sending direct messages to users like content creators who receive a large volume of messages. 

Meta’s classifiers were reliable enough to remove only a low single-digit percentage of hate speech with any degree of precision.

Bejar was floored—all the more so when he learned that virtually all of his daughter’s friends had been subjected to similar harassment. “DTF?” a user they’d never met would ask, using shorthand for a vulgar proposition. Instagram acted so rarely on reports of such behavior that the girls no longer bothered reporting them. 

Meta’s own statistics suggested that big problems didn’t exist. 

Meta had come to approach governing user behavior as an overwhelmingly automated process. Engineers would compile data sets of unacceptable content—things like terrorism, pornography, bullying or “excessive gore”—and then train machine-learning models to screen future content for similar material.

While users could still flag things that upset them, Meta shifted resources away from reviewing them. To discourage users from filing reports, internal documents from 2019 show, Meta added steps to the reporting process. Meta said the changes were meant to discourage frivolous reports and educate users about platform rules. 

The outperformance of Meta’s automated enforcement relied on what Bejar considered two sleights of hand. The systems didn’t catch anywhere near the majority of banned content—only the majority of what the company ultimately removed

“Please don’t talk about my underage tits,” Bejar’s daughter shot back before reporting his comment to Instagram. A few days later, the platform got back to her: The insult didn’t violate its community guidelines.

Also buttressing Meta’s statistics were rules written narrowly enough to ban only unambiguously vile material. Meta’s rules didn’t clearly prohibit adults from flooding the comments section on a teenager’s posts with kiss emojis or posting pictures of kids in their underwear, inviting their followers to “see more” in a private Facebook Messenger group. 

“Mark personally values freedom of expression first and foremost and would say this is a feature and not a bug,” Rosen responded

Narrow rules and unreliable automated enforcement systems left a lot of room for bad behavior—but they made the company’s child-safety statistics look pretty good according to Meta’s metric of choice: prevalence.

Defined as the percentage of content viewed worldwide that explicitly violates a Meta rule, prevalence was the company’s preferred measuring stick for the problems users experienced.

According to prevalence, child exploitation was so rare on the platform that it couldn’t be reliably estimated, less than 0.05%, the threshold for functional measurement. Content deemed to encourage self-harm, such as eating disorders, was just as minimal, and rule violations for bullying and harassment occurred in just eight of 10,000 views. 

“There’s a grading-your-own-homework problem,”

Meta defines what constitutes harmful content, so it shapes the discussion of how successful it is at dealing with it.”

It could reconsider its AI-generated “beauty filters,” which internal research suggested made both the people who used them and those who viewed the images more self-critical

the team built a new questionnaire called BEEF, short for “Bad Emotional Experience Feedback.

A recurring survey of issues 238,000 users had experienced over the past seven days, the effort identified problems with prevalence from the start: Users were 100 times more likely to tell Instagram they’d witnessed bullying in the last week than Meta’s bullying-prevalence statistics indicated they should.

“People feel like they’re having a bad experience or they don’t,” one presentation on BEEF noted. “Their perception isn’t constrained by policy.

they seemed particularly common among teens on Instagram.

Among users under the age of 16, 26% recalled having a bad experience in the last week due to witnessing hostility against someone based on their race, religion or identity

More than a fifth felt worse about themselves after viewing others’ posts, and 13% had experienced unwanted sexual advances in the past seven days. 

The vast gap between the low prevalence of content deemed problematic in the company’s own statistics and what users told the company they experienced suggested that Meta’s definitions were off, Bejar argued

To minimize content that teenagers told researchers made them feel bad about themselves, Instagram could cap how much beauty- and fashion-influencer content users saw.

Proving to Meta’s leadership that the company’s prevalence metrics were missing the point was going to require data the company didn’t have. So Bejar and a group of staffers from the Well-Being Team started collecting it

And it could build ways for users to report unwanted contacts, the first step to figuring out how to discourage them.

One experiment run in response to BEEF data showed that when users were notified that their comment or post had upset people who saw it, they often deleted it of their own accord. “Even if you don’t mandate behaviors,” said Krieger, “you can at least send signals about what behaviors aren’t welcome.”

But among the ranks of Meta’s senior middle management, Bejar and Krieger said, BEEF hit a wall. Managers who had made their careers on incrementally improving prevalence statistics weren’t receptive to the suggestion that the approach wasn’t working. 

After three decades in Silicon Valley, he understood that members of the company’s C-Suite might not appreciate a damning appraisal of the safety risks young users faced from its product—especially one citing the company’s own data. 

“This was the email that my entire career in tech trained me not to send,” he says. “But a part of me was still hoping they just didn’t know.”