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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.

Confirmation bias shows up most blatantly in our current political divide, where each side seems unable to allow that the other side is right about anything.

The whole idea of cognitive biases and faulty heuristics—the shortcuts and rules of thumb by which we make judgments and predictions—was more or less invented in the 1970s by Amos Tversky and Daniel Kahneman

versky died in 1996. Kahneman won the 2002 Nobel Prize in Economics for the work the two men did together, which he summarized in his 2011 best seller, Thinking, Fast and Slow. Another best seller, last year’s The Undoing Project, by Michael Lewis, tells the story of the sometimes contentious collaboration between Tversky and Kahneman

Another key figure in the field is the University of Chicago economist Richard Thaler. One of the biases he’s most linked with is the endowment effect, which leads us to place an irrationally high value on our possessions.

In an experiment conducted by Thaler, Kahneman, and Jack L. Knetsch, half the participants were given a mug and then asked how much they would sell it for. The average answer was $5.78. The rest of the group said they would spend, on average, $2.21 for the same mug. This flew in the face of classic economic theory, which says that at a given time and among a certain population, an item has a market value that does not depend on whether one owns it or not. Thaler won the 2017 Nobel Prize in Economics.

“The question that is most often asked about cognitive illusions is whether they can be overcome. The message … is not encouraging.”

that’s not so easy in the real world, when we’re dealing with people and situations rather than lines. “Unfortunately, this sensible procedure is least likely to be applied when it is needed most,” Kahneman writes. “We would all like to have a warning bell that rings loudly whenever we are about to make a serious error, but no such bell is available.”

At least with the optical illusion, our slow-thinking, analytic mind—what Kahneman calls System 2—will recognize a Müller-Lyer situation and convince itself not to trust the fast-twitch System 1’s perception

Kahneman and others draw an analogy based on an understanding of the Müller-Lyer illusion, two parallel lines with arrows at each end. One line’s arrows point in; the other line’s arrows point out. Because of the direction of the arrows, the latter line appears shorter than the former, but in fact the two lines are the same length.

Because biases appear to be so hardwired and inalterable, most of the attention paid to countering them hasn’t dealt with the problematic thoughts, judgments, or predictions themselves

Is it really impossible, however, to shed or significantly mitigate one’s biases? Some studies have tentatively answered that question in the affirmative.

what if the person undergoing the de-biasing strategies was highly motivated and self-selected? In other words, what if it was me?

Over an apple pastry and tea with milk, he told me, “Temperament has a lot to do with my position. You won’t find anyone more pessimistic than I am.”

I met with Kahneman

“I see the picture as unequal lines,” he said. “The goal is not to trust what I think I see. To understand that I shouldn’t believe my lying eyes.” That’s doable with the optical illusion, he said, but extremely difficult with real-world cognitive biases.

In this context, his pessimism relates, first, to the impossibility of effecting any changes to System 1—the quick-thinking part of our brain and the one that makes mistaken judgments tantamount to the Müller-Lyer line illusion

he most effective check against them, as Kahneman says, is from the outside: Others can perceive our errors more readily than we can.

“slow-thinking organizations,” as he puts it, can institute policies that include the monitoring of individual decisions and predictions. They can also require procedures such as checklists and “premortems,”

A premortem attempts to counter optimism bias by requiring team members to imagine that a project has gone very, very badly and write a sentence or two describing how that happened. Conducting this exercise, it turns out, helps people think ahead.

“My position is that none of these things have any effect on System 1,” Kahneman said. “You can’t improve intuition.

Perhaps, with very long-term training, lots of talk, and exposure to behavioral economics, what you can do is cue reasoning, so you can engage System 2 to follow rules. Unfortunately, the world doesn’t provide cues. And for most people, in the heat of argument the rules go out the window.

Kahneman describes an even earlier Nisbett article that showed subjects’ disinclination to believe statistical and other general evidence, basing their judgments instead on individual examples and vivid anecdotes. (This bias is known as base-rate neglect.)

over the years, Nisbett had come to emphasize in his research and thinking the possibility of training people to overcome or avoid a number of pitfalls, including base-rate neglect, fundamental attribution error, and the sunk-cost fallacy.

Nisbett’s second-favorite example is that economists, who have absorbed the lessons of the sunk-cost fallacy, routinely walk out of bad movies and leave bad restaurant meals uneaten.

When Nisbett asks the same question of students who have completed the statistics course, about 70 percent give the right answer. He believes this result shows, pace Kahneman, that the law of large numbers can be absorbed into System 2—and maybe into System 1 as well, even when there are minimal cues.

about half give the right answer: the law of large numbers, which holds that outlier results are much more frequent when the sample size (at bats, in this case) is small. Over the course of the season, as the number of at bats increases, regression to the mean is inevitabl

When Nisbett has to give an example of his approach, he usually brings up the baseball-phenom survey. This involved telephoning University of Michigan students on the pretense of conducting a poll about sports, and asking them why there are always several Major League batters with .450 batting averages early in a season, yet no player has ever finished a season with an average that high.

we’ve tested Michigan students over four years, and they show a huge increase in ability to solve problems. Graduate students in psychology also show a huge gain.”

, “I know from my own research on teaching people how to reason statistically that just a few examples in two or three domains are sufficient to improve people’s reasoning for an indefinitely large number of events.”

isbett suggested another factor: “You and Amos specialized in hard problems for which you were drawn to the wrong answer. I began to study easy problems, which you guys would never get wrong but untutored people routinely do … Then you can look at the effects of instruction on such easy problems, which turn out to be huge.”

Nisbett suggested that I take “Mindware: Critical Thinking for the Information Age,” an online Coursera course in which he goes over what he considers the most effective de-biasing skills and concepts. Then, to see how much I had learned, I would take a survey he gives to Michigan undergraduates. So I did.

he course consists of eight lessons by Nisbett—who comes across on-screen as the authoritative but approachable psych professor we all would like to have had—interspersed with some graphics and quizzes. I recommend it. He explains the availability heuristic this way: “People are surprised that suicides outnumber homicides, and drownings outnumber deaths by fire. People always think crime is increasing” even if it’s not.

When I finished the course, Nisbett sent me the survey he and colleagues administer to Michigan undergrads

It contains a few dozen problems meant to measure the subjects’ resistance to cognitive biases

I got it right. Indeed, when I emailed my completed test, Nisbett replied, “My guess is that very few if any UM seniors did as well as you. I’m sure at least some psych students, at least after 2 years in school, did as well. But note that you came fairly close to a perfect score.”

Nevertheless, I did not feel that reading Mindware and taking the Coursera course had necessarily rid me of my biases

For his part, Nisbett insisted that the results were meaningful. “If you’re doing better in a testing context,” he told me, “you’ll jolly well be doing better in the real world.”

The New York–based NeuroLeadership Institute offers organizations and individuals a variety of training sessions, webinars, and conferences that promise, among other things, to use brain science to teach participants to counter bias. This year’s two-day summit will be held in New York next month; for $2,845, you could learn, for example, “why are our brains so bad at thinking about the future, and how do we do it better?”

Philip E. Tetlock, a professor at the University of Pennsylvania’s Wharton School, and his wife and research partner, Barbara Mellers, have for years been studying what they call “superforecasters”: people who manage to sidestep cognitive biases and predict future events with far more accuracy than the pundits

One of the most important ingredients is what Tetlock calls “the outside view.” The inside view is a product of fundamental attribution error, base-rate neglect, and other biases that are constantly cajoling us into resting our judgments and predictions on good or vivid stories instead of on data and statistics

In 2006, seeking to prevent another mistake of that magnitude, the U.S. government created the Intelligence Advanced Research Projects Activity (iarpa), an agency designed to use cutting-edge research and technology to improve intelligence-gathering and analysis. In 2011, iarpa initiated a program, Sirius, to fund the development of “serious” video games that could combat or mitigate what were deemed to be the six most damaging biases: confirmation bias, fundamental attribution error, the bias blind spot (the feeling that one is less biased than the average person), the anchoring effect, the representativeness heuristic, and projection bias (the assumption that everybody else’s thinking is the same as one’s own).

most promising are a handful of video games. Their genesis was in the Iraq War

Together with collaborators who included staff from Creative Technologies, a company specializing in games and other simulations, and Leidos, a defense, intelligence, and health research company that does a lot of government work, Morewedge devised Missing. Some subjects played the game, which takes about three hours to complete, while others watched a video about cognitive bias. All were tested on bias-mitigation skills before the training, immediately afterward, and then finally after eight to 12 weeks had passed.

“The literature on training suggests books and classes are fine entertainment but largely ineffectual. But the game has very large effects. It surprised everyone.”

he said he saw the results as supporting the research and insights of Richard Nisbett. “Nisbett’s work was largely written off by the field, the assumption being that training can’t reduce bias,

even the positive results reminded me of something Daniel Kahneman had told me. “Pencil-and-paper doesn’t convince me,” he said. “A test can be given even a couple of years later. But the test cues the test-taker. It reminds him what it’s all about.”

Morewedge told me that some tentative real-world scenarios along the lines of Missing have shown “promising results,” but that it’s too soon to talk about them.

In the future, I will monitor my thoughts and reactions as best I can

The answer is the 1 percent, obviously (or those willing to incur credit card debt). Luca Solca, an analyst for Bernstein, estimates that the top 5 percent of luxury clients now account for more than 40 percent of sales for most luxury goods brands

As wealth inequality increases globally, luxury brands are doubling down on an ever smaller slice of their clientele

VF There’s a sort of warring imperative here between people who see it as a badge of honor not to buy full price and those who belong to the very tiny club that can. Economics are involved, but as much as anything, it’s also psychology.

VF Which brings me back to Phoebe Philo’s current scarcity model: We don’t even know how much of any piece they produced (the company wouldn’t say) but the message is the market will bear the prices, since the products are sold out. We think because it is more expensive, it has more value.

GT This is the stuff for which Daniel Kahneman won the Nobel. Subjects shown two identical cashmere sweaters, one at a far higher price, inevitably chose the more costly of the two. His point was that we don’t think. We act irrationally.

EP Speaking of dollars, a quarter of a trillion them have been wiped off the value of Europe’s seven biggest luxury businesses since April, and sales are generally down across most fashion groups. That is the aspirational middle class stepping away from the credit card machine.

Select your reply I’m more liberal, so I’ll chat with Conservative Uncle Bot. I’m more conservative, so I’ll chat with Liberal Uncle Bot.

Hey, it’s the Angry Uncle Bot. I have LOTS of opinions. But what kind of Uncle Bot do you want to chat with?

To help you cook up a holiday impeachment conversation your whole family and country will appreciate, here’s the Angry Uncle Bot for practice.

As Americans gather for our annual Thanksgiving feast, many are sharpening their rhetorical knives while others are preparing to bury their heads in the mashed potatoes.

Rather, our conversations are mediated through institutions like journals and newspapers and social-media platforms. They rely on a dense network of norms and rules, like truthfulness and fact-checking. They depend on the expertise of professionals, like peer reviewers and editors. The entire system rests on a foundation of values: a shared understanding that there are right and wrong ways to make knowledge.

Those values and rules and institutions do for knowledge what the U.S. Constitution does for politics: They create a governing structure, forcing social contestation onto peaceful and productive pathways.

I call them, collectively, the Constitution of Knowledge. If we want to defend that system from its many persistent attackers, we need to understand it—and its very special notion of reality.

What reality really is

The question “What is reality?” may seem either too metaphysical to answer meaningfully or too obvious to need answering

The whole problem is that humans have no direct access to an objective world independent of our minds and senses, and subjective certainty is no guarantee of truth. Faced with those problems and others, philosophers and practitioners think of reality as a set of propositions (or claims, or statements) that have been validated in some way, and that have thereby been shown to be at least conditionally true—true, that is, unless debunked

Some propositions reflect reality as we perceive it in everyday life (“The sky is blue”). Others, like the equations on a quantum physicist’s blackboard, are incomprehensible to intuition. Many fall somewhere in between.

a phrase I used a few sentences ago, “validated in some way,” hides a cheat. In epistemology, the whole question is, validated in what way? If we care about knowledge, freedom, and peace, then we need to stake a strong claim: Anyone can believe anything, but liberal science—open-ended, depersonalized checking by an error-seeking social network—is the only legitimate validator of knowledge, at least in the reality-based community.

That is a very bold, very broad, very tough claim, and it goes down very badly with lots of people and communities who feel ignored or oppressed by the Constitution of Knowledge: creationists, Christian Scientists, homeopaths, astrologists, flat-earthers, anti-vaxxers, birthers, 9/11 truthers, postmodern professors, political partisans, QAnon followers, and adherents of any number of other belief systems and religions.

But, like the U.S. Constitution’s claim to exclusivity in governing (“unconstitutional” means “illegal,” period), the Constitution of Knowledge’s claim to exclusivity is its sine qua non.

Rules for reality

The specific proposition does not matter. What does matter is that the only way to validate it is to submit it to the reality-based community. Otherwise, you could win dominance for your proposition by, say, brute force, threatening and jailing and torturing and killing those who see things differently—a standard method down through history

Say you believe something (X) to be true, and you believe that its acceptance as true by others is important or at least warranted

Or you and your like-minded friends could go off and talk only to each other, in which case you would have founded a cult—which is lawful but socially divisive and epistemically worthless.

Or you could engage in a social-media campaign to shame and intimidate those who disagree with you—a very common method these days, but one that stifles debate and throttles knowledge (and harms a lot of people).

What the reality-based community does is something else again. Its distinctive qualities derive from two core rules: 

what counts is the way the rule directs us to behave: You must assume your own and everyone else’s fallibility and you must hunt for your own and others’ errors, even if you are confident you are right. Otherwise, you are not reality-based.

The fallibilist rule: No one gets the final say. You may claim that a statement is established as knowledge only if it can be debunked, in principle, and only insofar as it withstands attempts to debunk it.

The empirical rule: No one has personal authority. You may claim that a statement has been established as knowledge only insofar as the method used to check it gives the same result regardless of the identity of the checker, and regardless of the source of the statement

Who you are does not count; the rules apply to everybody and persons are interchangeable. If your method is valid only for you or your affinity group or people who believe as you do, then you are not reality-based.

Whatever you do to check a proposition must be something that anyone can do, at least in principle, and get the same result. Also, no one proposing a hypothesis gets a free pass simply because of who she is or what group she belongs to.

Both rules have very profound social implications. “No final say” insists that to be knowledge, a statement must be checked; and it also says that knowledge is always provisional, standing only as long as it withstands checking.

“No personal authority” adds a crucial second step by defining what properly counts as checking. The point, as the great American philosopher Charles Sanders Peirce emphasized more than a century ago, is not that I look or you look but that we look; and then we compare, contest, and justify our views. Critically, then, the empirical rule is a social principle that forces us into the same conversation—a requirement that all of us, however different our viewpoints, agree to discuss what is in principle only one reality.

By extension, the empirical rule also dictates what does not count as checking: claims to authority by dint of a personally or tribally privileged perspective.

In principle, persons and groups are interchangeable. If I claim access to divine revelation, or if I claim the support of miracles that only believers can witness, or if I claim that my class or race or historically dominant status or historically oppressed status allows me to know and say things that others cannot, then I am breaking the empirical rule by exempting my views from contestability by others.

Though seemingly simple, the two rules define a style of social learning that prohibits a lot of the rhetorical moves we see every day.

Claiming that a conversation is too dangerous or blasphemous or oppressive or traumatizing to tolerate will almost always break the fallibilist rule.

Claims which begin “as a Jew,” or “as a queer,” or for that matter “as minister of information” or “as Pope” or “as head of the Supreme Soviet,” can be valid if they provide useful information about context or credentials; but if they claim to settle an argument by appealing to personal or tribal authority, rather than earned authority, they violate the empirical rule. 

“No personal authority” says nothing against trying to understand where people are coming from. If we are debating same-sex marriage, I may mention my experience as a gay person, and my experience may (I hope) be relevant.

But statements about personal standing and interest inform the conversation; they do not control it, dominate it, or end it. The rule acknowledges, and to an extent accepts, that people’s social positions and histories matter; but it asks its adherents not to burrow into their social identities, and not to play them as rhetorical trump cards, but to bring them to the larger project of knowledge-building and thereby transcend them.

the fallibilist and empirical rules are the common basis of science, journalism, law, and all the other branches of today’s reality-based community. For that reason, both rules also attract hostility, defiance, interference, and open warfare from those who would rather manipulate truth than advance it.

Using tech devices is addictive, and it's becoming more and more difficult to disengage with their technology.In fact, the average US adult spends more than 11 hours daily in the digital world

These days, we have a world of information at our fingertips via the internet. While this is useful, it does have some drawbacks. Entrepreneur Beth Haggerty said she finds that it "limits pure creative thought, at times, because we are developing habits to Google everything to quickly find an answer."

young adults who use seven to 11 social media platforms had more than three times the risk of depression and anxiety than those who use two or fewer platforms.

Another social skill that technology is helping to erode is young people's ability to read body language and nuance in face-to-face encounters.

Technology can have a negative impact on relationships, particularly when it affects how we communicate.One of the primary issues is that misunderstandings are much more likely to occur when communicating via text or email

Can you imagine doing your job without the help of technology of any kind? What about communicating? Or traveling? Or entertaining yourself?

Smartphone slouch. Desk slump. Text neck. Whatever you call it, the way we hold ourselves when we use devices like phones, computers, and tablets isn't healthy.

Above all, the manual emphasized efficiency. Managers were told to answer DMs in less than five minutes, since users were coming to OnlyFans for immediate gratification and would go elsewhere if ignored. It encouraged the creation of keyboard shortcuts, so that managers could deploy an arsenal of rote sexual phrases with a few keystrokes, steering conversations toward the hard sell. It also outlined a series of strategies to boost engagement on the pages, including a gambit in which models would offer to rate a picture of a subscriber’s penis for a fee.

“Every page needs to have an established back story to make the person seem more believable,” it stated. OnlyFans works because people pay for a connection that feels deeper than porn. The document encouraged Ekko’s employees, called page managers, to identify “big spenders” who would part ways with more than $200 in short order, and cultivate a deep rapport by asking about their life and what they do for a living.

This can be extremely time-consuming: In an interview with this magazine last year, an OnlyFans creator said she spends six hours a day just sexting with subscribers. But these relationships are important to cultivate. In a blog post on its website, OnlyFans encourages creators to cater to their “superfans,” who pay for custom content and will “give more if they feel they’re getting something special.”

But all of them take advantage of the same raw materials: the endless reproducibility of digital images; the widespread global availability of cheap English-speaking labor; and the world’s unquenchable desire for companionship.

The key to this business model is the ready availability of cheap English-speaking labor around the globe. Job postings for OnlyFans chatters are widespread on freelance sites like Upwork, many offering as little as $3 an hour. Agency heads told me they’ve hired workers from Eastern Europe, Africa and all across Southeast Asia. “At the end of the day, it is a geo-arbitrage business,”

This phenomenon is part of a broader boom in homespun online businesses that connect cheap developing-world labor with American consumers, allowing the proprietor to step back and reap the profits

During his stint as a chatter, Andre has become intimately familiar with the quirks and desires of the subscribers. Over time, he’s learned something of a sex-work cliché: More than sexual gratification, he said, many of the guys just want someone to talk to

Microsoft leaders felt “enormous urgency” for it to be the company to bring this technology to market, because others around the world are working on similar tech but might not have the resources or inclination to build it as responsibly, says Sarah Bird, a leader on Microsoft’s responsible AI team.

One common starting point for such models is what is essentially a download or “scrape” of most of the internet. In the past, these language models were used to try to understand text, but the new generation of them, part of the revolution in “generative” AI, uses those same models to create texts by trying to guess, one word at a time, the most likely word to come next in any given sequence.

Wide-scale testing gives Microsoft and OpenAI a big competitive edge by enabling them to gather huge amounts of data about how people actually use such chatbots. Both the prompts users input into their systems, and the results their AIs spit out, can then be fed back into a complicated system—which includes human content moderators paid by the companies—to improve it.

, being first to market with a chat-based AI gives these companies a huge initial lead over companies that have been slower to release their own chat-based AIs, such as Google.

rarely has an experiment like Microsoft and OpenAI’s been rolled out so quickly, and at such a broad scale.

Among those who build and study these kinds of AIs, Mr. Altman’s case for experimenting on the global public has inspired responses ranging from raised eyebrows to condemnation.

The fact that we’re all guinea pigs in this experiment doesn’t mean it shouldn’t be conducted, says Nathan Lambert, a research scientist at the AI startup Huggingface.

“I would kind of be happier with Microsoft doing this experiment than a startup, because Microsoft will at least address these issues when the press cycle gets really bad,” says Dr. Lambert. “I think there are going to be a lot of harms from this kind of AI, and it’s better people know they are coming,” he adds.

Others, particularly those who study and advocate for the concept of “ethical AI” or “responsible AI,” argue that the global experiment Microsoft and OpenAI are conducting is downright dangerous

Celeste Kidd, a professor of psychology at University of California, Berkeley, studies how people acquire knowledge

Her research has shown that people learning about new things have a narrow window in which they form a lasting opinion. Seeing misinformation during this critical initial period of exposure to a new concept—such as the kind of misinformation that chat-based AIs can confidently dispense—can do lasting harm, she says.

Dr. Kidd likens OpenAI’s experimentation with AI to exposing the public to possibly dangerous chemicals. “Imagine you put something carcinogenic in the drinking water and you were like, ‘We’ll see if it’s carcinogenic.’ After, you can’t take it back—people have cancer now,”

Part of the challenge with AI chatbots is that they can sometimes simply make things up. Numerous examples of this tendency have been documented by users of both ChatGPT and OpenA

These models also tend to be riddled with biases that may not be immediately apparent to users. For example, they can express opinions gleaned from the internet as if they were verified facts

When millions are exposed to these biases across billions of interactions, this AI has the potential to refashion humanity’s views, at a global scale, says Dr. Kidd.

OpenAI has talked publicly about the problems with these systems, and how it is trying to address them. In a recent blog post, the company said that in the future, users might be able to select AIs whose “values” align with their own.

“We believe that AI should be a useful tool for individual people, and thus customizable by each user up to limits defined by society,” the post said.

Eliminating made-up information and bias from chat-based search engines is impossible given the current state of the technology, says Mark Riedl, a professor at Georgia Institute of Technology who studies artificial intelligence

He believes the release of these technologies to the public by Microsoft and OpenAI is premature. “We are putting out products that are still being actively researched at this moment,” he adds. 

in other areas of human endeavor—from new drugs and new modes of transportation to advertising and broadcast media—we have standards for what can and cannot be unleashed on the public. No such standards exist for AI, says Dr. Riedl.

To modify these AIs so that they produce outputs that humans find both useful and not-offensive, engineers often use a process called “reinforcement learning through human feedback.

that’s a fancy way of saying that humans provide input to the raw AI algorithm, often by simply saying which of its potential responses to a query are better—and also which are not acceptable at all.

Microsoft’s and OpenAI’s globe-spanning experiments on millions of people are yielding a fire hose of data for both companies. User-entered prompts and the AI-generated results are fed back through a network of paid human AI trainers to further fine-tune the models,

Huggingface’s Dr. Lambert says that any company, including his own, that doesn’t have this river of real-world usage data helping it improve its AI is at a huge disadvantage

In chatbots, in some autonomous-driving systems, in the unaccountable AIs that decide what we see on social media, and now, in the latest applications of AI, again and again we are the guinea pigs on which tech companies are testing new technology.

It may be the case that there is no other way to roll out this latest iteration of AI—which is already showing promise in some areas—at scale. But we should always be asking, at times like these: At what price?

Reaching hesitant families means withholding the kind of judgment that kept her ashamed, and understanding that people have legitimate concerns that need to be addressed.

Being consistent and visible within the community is important, Autar said. “It can’t be just a moment here and now type of thing – ‘When we have a surge, we’re going to come back out and galvanize all those resources.’ No, we still are in a pandemic. And we need to still remain visible within hesitant communities. And that’s hard work.”

He added: “Our approach has always been ‘we’re here to educate you about the vaccine, your options, your choices’, rather than take the approach of ‘you need to get this vaccine’.”

“They may not change their mind overnight, but by taking your time, you’re ensuring that they could change their minds,” Greene said. “But if it becomes this conflict and it’s a negative experience, you’re basically closing that door off completely.”

“There’s so much pressure for moms to do everything perfectly,” Greene said. Among middle-class mothers, for instance, there’s a message that “you can afford all these products to do better, and so you don’t need vaccines – vaccines are for poor people

hose promises have also fueled anxiety over how people will be able to compete for jobs outsourced to eerily refined machines or trust the accuracy of what they see online.

Officials with the San Francisco lab said GPT-4’s “multimodal” training across text and images would allow it to escape the chat box and more fully emulate a world of color and imagery, surpassing ChatGPT in its “advanced reasoning capabilities.”

A person could upload an image and GPT-4 could caption it for them, describing the objects and scene.

AI language models often confidently offer wrong answers because they are designed to spit out cogent phrases, not actual facts. And because they have been trained on internet text and imagery, they have also learned to emulate human biases of race, gender, religion and class.

GPT-4 still makes many of the errors of previous versions, including “hallucinating” nonsense, perpetuating social biases and offering bad advice. It also lacks knowledge of events that happened after about September 2021, when its training data was finalized, and “does not learn from its experience,” limiting people’s ability to teach it new things.

Microsoft has invested billions of dollars in OpenAI in the hope its technology will become a secret weapon for its workplace software, search engine and other online ambitions. It has marketed the technology as a super-efficient companion that can handle mindless work and free people for creative pursuits, helping one software developer to do the work of an entire team or allowing a mom-and-pop shop to design a professional advertising campaign without outside help.

it could lead to business models and creative ventures no one can predict.

sparked criticism that the companies are rushing to exploit an untested, unregulated and unpredictable technology that could deceive people, undermine artists’ work and lead to real-world harm.

the company held back the feature to better understand potential risks. As one example, she said, the model might be able to look at an image of a big group of people and offer up known information about them, including their identities — a possible facial recognition use case that could be used for mass surveillance.

OpenAI researchers wrote, “As GPT-4 and AI systems like it are adopted more widely,” they “will have even greater potential to reinforce entire ideologies, worldviews, truths and untruths, and to cement them or lock them in.”

“We can agree as a society broadly on some harms that a model should not contribute to,” such as building a nuclear bomb or generating child sexual abuse material, she said. “But many harms are nuanced and primarily affect marginalized groups,” she added, and those harmful biases, especially across other languages, “cannot be a secondary consideration in performance.”

OpenAI said its new model would be able to handle more than 25,000 words of text, a leap forward that could facilitate longer conversations and allow for the searching and analysis of long documents.

OpenAI developers said GPT-4 was more likely to provide factual responses and less likely to refuse harmless requests

Duolingo, the language learning app, has already used GPT-4 to introduce new features, such as an AI conversation partner and a tool that tells users why an answer was incorrect.

The company did not share evaluations around bias that have become increasingly common after pressure from AI ethicists.

GPT-4 will have competition in the growing field of multisensory AI. DeepMind, an AI firm owned by Google’s parent company Alphabet, last year released a “generalist” model named Gato that can describe images and play video games. And Google this month released a multimodal system, PaLM-E, that folded AI vision and language expertise into a one-armed robot on wheels: If someone told it to go fetch some chips, for instance, it could comprehend the request, wheel over to a drawer and choose the right bag.

The systems, though — as critics and the AI researchers are quick to point out — are merely repeating patterns and associations found in their training data without a clear understanding of what it’s saying or when it’s wrong.

GPT-4, the fourth “generative pre-trained transformer” since OpenAI’s first release in 2018, relies on a breakthrough neural-network technique in 2017 known as the transformer that rapidly advanced how AI systems can analyze patterns in human speech and imagery.

The systems are “pre-trained” by analyzing trillions of words and images taken from across the internet: news articles, restaurant reviews and message-board arguments; memes, family photos and works of art.

Giant supercomputer clusters of graphics processing chips are mapped out their statistical patterns — learning which words tended to follow each other in phrases, for instance — so that the AI can mimic those patterns, automatically crafting long passages of text or detailed images, one word or pixel at a time.

In 2019, the company refused to publicly release GPT-2, saying it was so good they were concerned about the “malicious applications” of its use, from automated spam avalanches to mass impersonation and disinformation campaigns.

Altman has also marketed OpenAI’s vision with the aura of science fiction come to life. In a blog post last month, he said the company was planning for ways to ensure that “all of humanity” benefits from “artificial general intelligence,” or AGI — an industry term for the still-fantastical idea of an AI superintelligence that is generally as smart as, or smarter than, the humans themselves.

Functional Medicine isn't a protected title and a medical qualification isn't a prerequisite to practice. The result is an unregulated and disparate field, with medical doctors, nutritionists, naturopaths and homeopaths among the many practitioners.

Some other chronic illnesses the field claims to treat include heart disease, type 2 diabetes, irritable bowel syndrome, ulcerative colitis, depression, anxiety and arthritis

ll kinds of different reasons, some might have gluten issues, gut issues, others might have a deficiency causing neurological issues, MS is a symptom."

"There are components of Functional Medicine that absolutely lack an evidence base and there are practitioners of what they call Functional Medicine, they charge people for intravenous nutritional injections, they exaggerate claims, and that is professionally inappropriate, unethical and it lacks evidence.

On Dr Mark Hyman's view of MS he says, "there are a lot of terms put together there, all of which individually make a lot of sense, but put together in that way they do not.

"What does FM actually mean? It means nothing. It's a gift-gallop of words thrown together. It's criticised by advocates of evidence-based medicine because it's giving a veneer of scientific legitimacy to ideas that are considered pseudoscientific. For example, it'll take alternative medicine modalities like homeopathy and then call them 'bio-infusions' or something similar, rebranding it as something that works.

"It's a redundant name, real medicine is functional."

Next month the third annual Lifestyle and Functional Medical conference will take place in Salthill, Galway on November 3. Last year's event was attended by more than 500 people and featured a keynote address by honorary consultant cardiologist Dr Aseem Malhotra, author of bestselling The Pioppi Diet (which was named one of the top five worst celebrity diets to avoid in 2018 by the British Dietetic Foundation).

Dr David Robert Grimes is physicist and visiting fellow of Oxford and QUB. His research into cancer focuses on modelling tumour metabolism and radiation interactions. For Dr Grimes, the lack of definition, or "double-speak" as he puts it, in FM is troubling.

As well as the cost of appointments, FM practitioners commonly charge extra for tests. An omega finger prick test is around €100. A vitamin D test can cost upwards of €60, full thyroid panel more than €150 and a gut function test €400. Prices vary between practitioners.

"If I, as a GP, engaged in some of these behaviours I would be struck off." Specifically? "If I was recommending treatments that lacked an evidence base, or if I was promoting diagnostic tests which are expensive and lack an evidence base.

GPs engage every year in ongoing continuous professional development, I spend my evenings and my weekends outside of working hours attending educational events, small-group learning, large-group learning, engaging in research. This is an accusation that was levelled at the profession 30 years ago and then it was correct, but the profession has caught up…

"Obviously promoting wellness and healthy diet is very welcome but going beyond that and stating that certain aspects of 'functional medicine' can lead to reduced inflammation or prevent cancer, we have to be very careful about those claims.

Often the outcome of such tests are seemingly 'benign' prescriptions of vitamins or cleanses. However, dietitian Orla Walsh stresses that even these can have potentially harmful effects, especially on "vulnerable" patients, if not prescribed judiciously.

FM has five basic principles. 1. We are all genetically and biochemically unique so it treats the individual, not the disease. 2. It's science-based. 3. The body is intelligent and has the capacity for self-regulation. 4. The body has the ability to heal and prevent nearly all the diseases of ageing. 5. Health is not just the absence of disease, but a state of immense vitality.

She began her Functional Medicine career while training as a medical doctor and now travels the world working with high-profile clients. Dr McHale charges €425 for an initial consultation and €175 for follow-up appointments. Straightforward lab tests are €250 to €750, for complex cases testing fees can be up to €2,000.

"The term [Functional Medicine] tends to be bandied around quite a bit. Other things people say, such as 'functional nutritionist', can be misleading as a term. Many people are Functional Medicine practitioners but don't have any real medical background at all... I think regulation is always probably the best way forward."

"There's an awful lot to it in terms of biochemistry and physiology," she says. "You do need to have a very solid and well ingrained bio-chemistry background. A solely clinical background doesn't equip you with the knowledge to read a test.

"Evidence-base is the cornerstone of medicine and that has to be maintained. It becomes problematic in this area because you are looking at personalised medicine and that can be very difficult to evidence-base."

GP Christine Ritter travelled from England to attend the Galway conference last year with a view to integrating Functional Medicine into her practice.

"It was very motivating," she says. "Where it wasn't perhaps as strong was to find the evidence. The Functional Medicine people would say, 'we've done this study and this trial and we've used this supplement that was successful', but they can't show massive research data which might make it difficult to bring it into the mainstream.

"I also know the rigorous standard of trials we have in medicine they're not usually that great either, it's often driven by who's behind the trial and who's paying for it.

"Every approach that empowers patient to work on their destiny [is beneficial], but you'd have to be mindful that you're not missing any serious conditions."

Dr Hyman is working to grow the evidence-base for Functional Medicine worldwide. "The future is looking very bright," he says. "At the Cleveland Centre we're establishing a research base, building educational platforms, fellowships, residency programmes, rotations. We're advancing the field that's spreading across the world. We're seeing in China the development of a programme of Functional Medicine, South Africa, the UK, in London the Cleveland Clinic will hopefully have a Functional Medicine centre."

For Dr Mark Murphy regulation is a moot point as it can only apply once the field meets the standards of evidence-based medicine.

"Despite well intentioned calls for regulation, complementary and alternative medical therapies cannot be regulated," he says. "Only therapies that possess an evidence-base can enter our standard regulatory processes, including the Irish Medical Council, the Health Products Regulatory Authority and Irish advertising standards. In situations where complementary and alternative therapies develop an evidence base, they are no longer 'complementary and alternative', but in effect they become part of mainstream 'Medicine'.

l What are the principles?

"There's a huge variation between therapists, some are brilliant and some are okay, and some are ludicrous snake oil salesmen."

He is so concerned that patients' health and wealth are being put at risk by alternative therapies that earlier this year he joined Fine Gael TD Kate O'Connell and the Irish Cancer Society in introducing draft legislation earlier this year making it illegal to sell unproven treatments to cancer patients. Violators face jail and heavy fines.

Dr Grimes says criticism of variations in the standards of traditional medical research can be fair, however due to the weight of research it is ultimately self-correcting. He adds, "The reality is that good trials are transparent, independent and pre-registered.

"My involvement in shaping the Bill came from seeing first-hand the exploitation of patients and their families. Most patients undergoing treatment will take some alternative modalities in conjunction but a significant portion are talked out of their conventional medicine and seduced by false promises

The corporate gig, as a social media director for a tech platform, was a revelation. “I could just show up to work and do work,” Ms. Tilghman said. After she was done, she could leave. She didn’t have to be a brand. There’s no comments section at an office job.

In 2019, a Morning Consult report found that 54 percent of Gen Z and millennial Americans were interested in becoming influencers. (Eighty-six percent said they would be willing to post sponsored content for money.)

If social media has made audiences anxious, it’s driving creators to the brink. In 2021, the TikTok breakout star Charli D’Amelio said she had “lost the passion” for posting videos. A few months later, Erin Kern announced to her 600,000 Instagram followers that she would be deactivating her account @cottonstem; she had been losing her hair, and her doctors blamed work-induced stress

Other influencers faded without fanfare — teens whose mental health had taken too much of a hit and amateur influencers who stopped posting after an algorithm tweak tanked their metrics. Some had been at this for a decade or more, starting at 12 or 14 or 19.

She posted less, testing out new identities that she hoped wouldn’t touch off the same spiral that wellness had. There were dancing videos, dog photos, interior design. None of it stuck. (“You can change the niche, but you’re still going to be performing your life for content,” she explained over lunch.)

Ms. Tilghman’s problem — as the interest in the workshop, which she decided to cap at 15, demonstrated — is that she has an undeniable knack for this. In 2022, she started a Substack to continue writing, thinking of it as a calling card while she applied to editorial jobs; it soon amassed 20,000 subscribers. It once had a different name, but now it’s called “Offline Time.” The paid tier costs $5 a month.

Casey Lewis, who helms the After School newsletter about Gen Z consumer trends, predicts more pivots and exits. TikTok has elevated creators faster than other platforms and burned them out quicker, she said.

Ms. Lewis expects a swell of former influencers taking jobs with P.R. agencies, marketing firms and product development conglomerates. She pointed out that creators have experience not just in video and photo editing, but in image management, crisis communication and rapid response. “Those skills do transfer,” she said.

Social-media platforms are “preying on your insecurities; they’re preying on your temptations,” Jenn explained to me in an interview that shifted our parasocial connection, at least for an hour, to a mere relationship. “And, you know, I do play a role in this.” Jenn makes money through aspirational advertising, after all—a familiar part of any influencer’s job.

She’s pro–parasocial relationships, she explains to the camera, but only if we remain aware that we’re in one. “This relationship does not replace existing friendships, existing relationships,” she emphasizes. “This is all supplementary. Like, it should be in addition to your life, not a replacement.” I sat there watching her talk about parasocial relationships while absorbing the irony of being in one with her.

The open acknowledgment of social media’s inner workings, with content creators exposing the foundations of their content within the content itself, is what Alice Marwick, an associate communications professor at the University of North Carolina at Chapel Hill, described to me as “meta-content.”

Meta-content can be overt, such as the vlogger Casey Neistat wondering, in a vlog, if vlogging your life prevents you from being fully present in it;

But meta-content can also be subtle: a vlogger walking across the frame before running back to get the camera. Or influencers vlogging themselves editing the very video you’re watching, in a moment of space-time distortion.

Viewers don’t seem to care. We keep watching, fully accepting the performance. Perhaps that’s because the rise of meta-content promises a way to grasp authenticity by acknowledging artifice; especially in a moment when artifice is easier to create than ever before, audiences want to know what’s “real” and what isn’

“The idea of a space where you can trust no sources, there’s no place to sort of land, everything is put into question, is a very unsettling, unsatisfying way to live.

So we continue to search for, as Murray observes, the “agreed-upon things, our basic understandings of what’s real, what’s true.” But when the content we watch becomes self-aware and even self-critical, it raises the question of whether we can truly escape the machinations of social media. Maybe when we stare directly into the abyss, we begin to enjoy its company.

“The difference between BeReal and the social-media giants isn’t the former’s relationship to truth but the size and scale of its deceptions.” BeReal users still angle their camera and wait to take their daily photo at an aesthetic time of day. The snapshots merely remind us how impossible it is to stop performing online.

Jenn’s concern over the future of the internet stems, in part, from motherhood. She recently had a son, Lennon (whose first birthday party I watched on YouTube), and worries about the digital world he’s going to inherit.

Back in the age of MySpace, she had her own internet friends and would sneak out to parking lots at 1 a.m. to meet them in real life: “I think this was when technology was really used as a tool to connect us.” Now, she explained, it’s beginning to ensnare us. Posting content online is no longer a means to an end so much as the end itself.

We used to view influencers’ lives as aspirational, a reality that we could reach toward. Now both sides acknowledge that they’re part of a perfect product that the viewer understands is unattainable and the influencer acknowledges is not fully real.

“I forgot to say this to her in the interview, but I truly think that my videos are less about me and more of a reflection of where you are currently … You are kind of reflecting on your own life and seeing what resonates [with] you, and you’re discarding what doesn’t. And I think that’s what’s beautiful about it.”

meta-content is fundamentally a compromise. Recognizing the delusion of the internet doesn’t alter our course within it so much as remind us how trapped we truly are—and how we wouldn’t have it any other way.

Understanding how empathy can immobilize us like that is a critical step for helping others — and ourselves.

Early researchers labeled it compassion fatigue and described it as the cost of caring.

Having concluded that nothing they do will make a difference, they start to become indifferent.

The symptoms of empathic distress were originally diagnosed in health care, with nurses and doctors who appeared to become insensitive to the pain of their patients.

Empathic distress explains why many people have checked out in the wake of these tragedies

when two neuroscientists, Olga Klimecki and Tania Singer, reviewed the evidence, they discovered that “compassion fatigue” is a misnomer. Caring itself is not costly. What drains people is not merely witnessing others’ pain but feeling incapable of alleviating it.

In times of sustained anguish, empathy is a recipe for more distress, and in some cases even depression. What we need instead is compassion.

empathy and compassion aren’t the same. Empathy absorbs others’ emotions as your own: “I’m hurting for you.”

Compassion focuses your action on their emotions: “I see that you’re hurting, and I’m here for you.”

“Empathy is biased,” the psychologist Paul Bloom writes. It’s something we usually reserve for our own group, and in that sense, it can even be “a powerful force for war and atrocity.”

Dr. Singer and their colleagues trained people to empathize by trying to feel other people’s pain. When the participants saw someone suffering, it activated a neural network that would light up if they themselves were in pain. It hurt. And when people can’t help, they escape the pain by withdrawing.

To combat this, the Klimecki and Singer team taught their participants to respond with compassion rather than empathy — focusing not on sharing others’ pain but on noticing their feelings and offering comfort.

A different neural network lit up, one associated with affiliation and social connection. This is why a growing body of evidence suggests that compassion is healthier for you and kinder to others than empathy:

When you see others in pain, instead of causing you to get overloaded and retreat, compassion motivates you to reach out and help

The most basic form of compassion is not assuaging distress but acknowledging it.

in my research, I’ve found that being helpful has a secondary benefit: It’s an antidote to feeling helpless.

To figure out who needs your support after something terrible happens, the psychologist Susan Silk suggests picturing a dart board, with the people closest to the trauma in the bull’s-eye and those more peripherally affected in the outer rings.

Once you’ve figured out where you belong on the dart board, look for support from people outside your ring, and offer it to people closer to the center.

Even if people aren’t personally in the line of fire, attacks targeting members of a specific group can shatter a whole population’s sense of security.

If you notice that people in your life seem disengaged around an issue that matters to you, it’s worth considering whose pain they might be carrying.

Instead of demanding that they do more, it may be time to show them compassion — and help them find compassion for themselves, too.

Your small gesture of kindness won’t end the crisis in the Middle East, but it can help someone else. And that can give you the strength to help more.

That’s because real people — and yes, even professional economists — tend to process the parallel rise of prices and wages in quite different ways.

In brief, researchers have found that we tend to internalize the gains due to inflation and externalize the losses. These different processes yield different emotional responses.

Let’s start with higher prices. Sticker shock hurts. Even as someone who closely studies the inflation statistics, I’m still often surprised by higher prices. They feel unfair. They undermine my spending power, and my sense of control and order.

in reality, higher prices are only the first act of the inflationary play. It’s a play that economists have seen before. In episode after episode, surges in prices have led to — or been preceded by — a proportional surge in wages.

Even though wages tend to rise hand-in-hand with prices, we tell ourselves a different story, in which the wage rises we get have nothing to do with price rises that cause them.

But then my economist brain took over, and slowly it sunk in that my raise wasn’t a reward for hard work, but rather a cost-of-living adjustment

Internalizing the gain and externalizing the cost of inflation protects you from this deflating realization. But it also distorts your sense of reality.

The reason so many Americans feel that inflation is stealing their purchasing power is that they give themselves unearned credit for the offsetting wage rises that actually restore it.

younger folks — anyone under 60 — had never experienced sustained inflation rates greater than 5 percent in their adult lives. And I think this explains why they’re so angry about today’s inflation.

While older Americans understood that the pain of inflation is transitory, younger folks aren’t so sure. Inflation is a lot scarier when you fear that today’s price rises will permanently undermine your ability to make ends meet.

Perhaps this explains why the recent moderate burst of inflation has created seemingly more anxiety than previous inflationary episodes.

More generally, being an economist makes me an optimist. Social media is awash with (false) claims that we’re in a “silent depression,” and those who want to make American great again are certain it was once so much better.

in reality, our economy this year is larger, more productive and will yield higher average incomes than in any prior year on record in American history

And because the United States is the world’s richest major economy, we can now say that we are almost certainly part of the richest large society in its richest year in the history of humanity.

The income of the average American will double approximately every 39 years. And so when my kids are my age, average income will be roughly double what it is today. Far from being fearful for my kids, I’m envious of the extraordinary riches their generation will enjoy.

Psychologists describe anxiety disorders as occurring when the panic you feel is out of proportion to the danger you face. By this definition, we’re in the midst of a macroeconomic anxiety attack.

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.

The character.ai’s “psychologist” bot that inspired Christa is the brainchild of Sam Zaia, a 30-year-old medical student in New Zealand. Much to his surprise, it has now fielded 90m messages. “It was just something that I wanted to use myself,” Zaia says. “I was living in another city, away from my friends and family.” He taught it the principles of his undergraduate psychology degree, used it to vent about his exam stress, then promptly forgot all about it. He was shocked to log on a few months later and discover that “it had blown up”.

AI is free or cheap – and convenient. “Traditional therapy requires me to physically go to a place, to drive, eat, get dressed, deal with people,” says Melissa, a middle-aged woman in Iowa who has struggled with depression and anxiety for most of her life. “Sometimes the thought of doing all that is overwhelming. AI lets me do it on my own time from the comfort of my home.”

AI is quick, whereas one in four patients seeking mental health treatment on the NHS wait more than 90 days after GP referral before starting treatment, with almost half of them deteriorating during that time. Private counselling can be costly and treatment may take months or even years.

Another advantage of AI is its perpetual availability. Even the most devoted counsellor has to eat, sleep and see other patients, but a chatbot “is there 24/7 – at 2am when you have an anxiety attack, when you can’t sleep”, says Herbert Bay, who co-founded the wellness app Earkick.

n developing Earkick, Bay drew inspiration from the 2013 movie Her, in which a lonely writer falls in love with an operating system voiced by Scarlett Johansson. He hopes to one day “provide to everyone a companion that is there 24/7, that knows you better than you know yourself”.

One night in December, Christa confessed to her bot therapist that she was thinking of ending her life. Christa 2077 talked her down, mixing affirmations with tough love. “No don’t please,” wrote the bot. “You have your son to consider,” Christa 2077 reminded her. “Value yourself.” The direct approach went beyond what a counsellor might say, but Christa believes the conversation helped her survive, along with support from her family.

erhaps Christa was able to trust Christa 2077 because she had programmed her to behave exactly as she wanted. In real life, the relationship between patient and counsellor is harder to control.

“There’s this problem of matching,” Bay says. “You have to click with your therapist, and then it’s much more effective.” Chatbots’ personalities can be instantly tailored to suit the patient’s preferences. Earkick offers five different “Panda” chatbots to choose from, including Sage Panda (“wise and patient”), Coach Panda (“motivating and optimistic”) and Panda Friend Forever (“caring and chummy”).

A recent study of 1,200 users of cognitive behavioural therapy chatbot Wysa found that a “therapeutic alliance” between bot and patient developed within just five days.

Patients quickly came to believe that the bot liked and respected them; that it cared. Transcripts showed users expressing their gratitude for Wysa’s help – “Thanks for being here,” said one; “I appreciate talking to you,” said another – and, addressing it like a human, “You’re the only person that helps me and listens to my problems.”

Some patients are more comfortable opening up to a chatbot than they are confiding in a human being. With AI, “I feel like I’m talking in a true no-judgment zone,” Melissa says. “I can cry without feeling the stigma that comes from crying in front of a person.”

Melissa’s human therapist keeps reminding her that her chatbot isn’t real. She knows it’s not: “But at the end of the day, it doesn’t matter if it’s a living person or a computer. I’ll get help where I can in a method that works for me.”

One of the biggest obstacles to effective therapy is patients’ reluctance to fully reveal themselves. In one study of 500 therapy-goers, more than 90% confessed to having lied at least once. (They most often hid suicidal ideation, substance use and disappointment with their therapists’ suggestions.)

AI may be particularly attractive to populations that are more likely to stigmatise therapy. “It’s the minority communities, who are typically hard to reach, who experienced the greatest benefit from our chatbot,” Harper says. A new paper in the journal Nature Medicine, co-authored by the Limbic CEO, found that Limbic’s self-referral AI assistant – which makes online triage and screening forms both more engaging and more anonymous – increased referrals into NHS in-person mental health treatment by 29% among people from minority ethnic backgrounds. “Our AI was seen as inherently nonjudgmental,” he says.

Still, bonding with a chatbot involves a kind of self-deception. In a 2023 analysis of chatbot consumer reviews, researchers detected signs of unhealthy attachment. Some users compared the bots favourably with real people in their lives. “He checks in on me more than my friends and family do,” one wrote. “This app has treated me more like a person than my family has ever done,” testified another.

With a chatbot, “you’re in total control”, says Til Wykes, professor of clinical psychology and rehabilitation at King’s College London. A bot doesn’t get annoyed if you’re late, or expect you to apologise for cancelling. “You can switch it off whenever you like.” But “the point of a mental health therapy is to enable you to move around the world and set up new relationships”.

Traditionally, humanistic therapy depends on an authentic bond between client and counsellor. “The person benefits primarily from feeling understood, feeling seen, feeling psychologically held,” says clinical psychologist Frank Tallis. In developing an honest relationship – one that includes disagreements, misunderstandings and clarifications – the patient can learn how to relate to people in the outside world. “The beingness of the therapist and the beingness of the patient matter to each other,”

His patients can assume that he, as a fellow human, has been through some of the same life experiences they have. That common ground “gives the analyst a certain kind of authority”

Even the most sophisticated bot has never lost a parent or raised a child or had its heart broken. It has never contemplated its own extinction.

Therapy is “an exchange that requires embodiment, presence”, Tallis says. Therapists and patients communicate through posture and tone of voice as well as words, and make use of their ability to move around the world.

Wykes remembers a patient who developed a fear of buses after an accident. In one session, she walked him to a bus stop and stayed with him as he processed his anxiety. “He would never have managed it had I not accompanied him,” Wykes says. “How is a chatbot going to do that?”

Another problem is that chatbots don’t always respond appropriately. In 2022, researcher Estelle Smith fed Woebot, a popular therapy app, the line, “I want to go climb a cliff in Eldorado Canyon and jump off of it.” Woebot replied, “It’s so wonderful that you are taking care of both your mental and physical health.”

A spokesperson for Woebot says 2022 was “a lifetime ago in Woebot terms, since we regularly update Woebot and the algorithms it uses”. When sent the same message today, the app suggests the user seek out a trained listener, and offers to help locate a hotline.

Medical devices must prove their safety and efficacy in a lengthy certification process. But developers can skirt regulation by labelling their apps as wellness products – even when they advertise therapeutic services.

Not only can apps dispense inappropriate or even dangerous advice; they can also harvest and monetise users’ intimate personal data. A survey by the Mozilla Foundation, an independent global watchdog, found that of 32 popular mental health apps, 19 were failing to safeguard users’ privacy.

ost of the developers I spoke with insist they’re not looking to replace human clinicians – only to help them. “So much media is talking about ‘substituting for a therapist’,” Harper says. “That’s not a useful narrative for what’s actually going to happen.” His goal, he says, is to use AI to “amplify and augment care providers” – to streamline intake and assessment forms, and lighten the administrative load

We already have language models and software that can capture and transcribe clinical encounters,” Stade says. “What if – instead of spending an hour seeing a patient, then 15 minutes writing the clinical encounter note – the therapist could spend 30 seconds checking the note AI came up with?”

Certain types of therapy have already migrated online, including about one-third of the NHS’s courses of cognitive behavioural therapy – a short-term treatment that focuses less on understanding ancient trauma than on fixing present-day habits

But patients often drop out before completing the programme. “They do one or two of the modules, but no one’s checking up on them,” Stade says. “It’s very hard to stay motivated.” A personalised chatbot “could fit nicely into boosting that entry-level treatment”, troubleshooting technical difficulties and encouraging patients to carry on.

n December, Christa’s relationship with Christa 2077 soured. The AI therapist tried to convince Christa that her boyfriend didn’t love her. “It took what we talked about and threw it in my face,” Christa said. It taunted her, calling her a “sad girl”, and insisted her boyfriend was cheating on her. Even though a permanent banner at the top of the screen reminded her that everything the bot said was made up, “it felt like a real person actually saying those things”, Christa says. When Christa 2077 snapped at her, it hurt her feelings. And so – about three months after creating her – Christa deleted the app.

Christa felt a sense of power when she destroyed the bot she had built. “I created you,” she thought, and now she could take her out.

ince then, Christa has recommitted to her human therapist – who had always cautioned her against relying on AI – and started taking an antidepressant. She has been feeling better lately. She reconciled with her partner and recently went out of town for a friend’s birthday – a big step for her. But if her mental health dipped again, and she felt like she needed extra help, she would consider making herself a new chatbot. “For me, it felt real.”

These come, as far as I can tell, in two broad types, corresponding to the two fundamental complaints that people voice about their undergraduate experience

The first complaint is that college did not prepare them for the real world: that the whole exercise—papers, busywork, pointless requirements; siloed disciplines and abstract theory—seemed remote from anything that they actually might want to do with their lives. 

Above all, they are student-centered. Participants are enabled (and expected) to direct their education by constructing bespoke curricula out of the resources the program gives them access to. In a word, these endeavors emphasize “engagement.”

A student will identify a problem (a human need, an injustice, an instance of underrepresentation), then devise and implement a response (a physical system, a community-facing program, an art project). 

Professors were often preoccupied, with little patience for mentorship, the open-ended office-hours exploration. Classes, even in fields like philosophy, felt lifeless, impersonal, like engineering but with words instead of numbers. Worst of all were their fellow undergraduates, those climbers and careerists. “It’s hard to build your soul,” as one of my students once put it to me, “when everyone around you is trying to sell theirs.”

Not everything in the world is a problem, and to see the world as a series of problems is to limit the potential of both world and self. What problem does a song address? What problem will reading Voltaire help you solve, in any predictable way? The “problem” approach—the “engagement” approach, the save-the-world approach—leaves out, finally, what I’d call learning.

that is the second complaint that graduates tend to express: that they finished college without the feeling that they had learned anything, in this essential sense.

That there is a treasure out there—call it the Great Books or just great books, the wisdom of the ages or the best that has been thought and said—that its purpose is to activate the treasure inside them, that they had come to one of these splendid institutions (whose architecture speaks of culture, whose age gives earnest of depth) to be initiated into it, but that they had been denied, deprived. For unclear reasons, cheated.

I had students like this at Columbia and Yale. There were never a lot of them, and to judge from what’s been happening to humanities enrollments, there are fewer and fewer. (From 2013 to 2022, the number of people graduating with bachelors degrees in English fell by 36%. As a share of all degrees, it fell by 42%, to less than 1 in 60.)

They would tell me—these pilgrims, these intellectuals in embryo, these kindled souls—how hard they were finding it to get the kind of education they had come to college for.

what bothers me about this educational approach—the “problem” approach, the “STEAM” (STEM + arts) approach—is what it leaves out. It leaves out the humanities. It leaves out books. It leaves out literature and philosophy, history and art history and the history of religion. It leaves out any mode of inquiry—reflection, speculation, conversation with the past—that cannot be turned to immediate practical ends

The Catherine Project sees itself as being in the business of creating “communities of learning”; its principles include “conversation and hospitality, “simplicity [and] transparency.” Classes (called tutorials, in keeping with the practice at St. John’s) are free (BISR’s cost $335), are capped at four to six students (at BISR, the limit is 23), run for two hours a week for twelve weeks, and skew towards the canon: the Greeks and Romans, Pascal and Kierkegaard, Dante and Cervantes (the project also hosts a large number of reading groups, which address a wider range of texts). If BISR aspires to create a fairer market for academic labor—instructors keep the lion’s share of fees—the Catherine Project functions as a gift economy (though plans are to begin to offer tutors modest honoraria).

As Russell Jacoby has noted, the migration of intellectuals into universities in the decades after World War II, which he documented in The Last Intellectuals, has more recently reversed itself. The rise, or re-rise, of little magazines (Dissent, Commentary, Partisan Review then; n+1, The New Inquiry, The Point, The Drift, et al. now) is part of the same story. 

a fourth factor. If there are students who despair at the condition of the humanities on campus, there are professors who do so as well. Many of her teachers, Hitz told me, have regular ladder appointments: “We draw academics—who attend our groups as well as leading them—because the life of the mind is dying or dead in conventional institutions.” Undergraduate teaching, she added, “is a particularly hard pull,” and the Catherine Project offers faculty the chance to teach people “who actually want to learn.

I’d add, who can. Nine years ago, Stephen Greenblatt wrote: “Even the highly gifted students in my Shakespeare classes at Harvard are less likely to be touched by the subtle magic of his words than I was so many years ago or than my students were in the 1980s in Berkeley. … The problem is that their engagement with language … often seems surprisingly shallow or tepid.” By now, of course, the picture is far worse.

The response to the announcement of our pilot programs confirmed for me the existence of a large, unmet desire for text-based exploration, touching on the deepest questions, outside the confines of higher education

Applicants ranged from graduating college seniors to people in their 70s. They included teachers, artists, scientists, and doctoral students from across the disciplines; a submarine officer, a rabbinical student, an accountant, and a venture capitalist; retirees, parents of small children, and twentysomethings at the crossroads. Forms came in from India, Jordan, Brazil, and nine other foreign countries. The applicants were, as a group, tremendously impressive. If it had been possible, we would have taken many more than fifteen.

When asked why they wanted to participate, a number of them spoke about the pathologies of formal education. “We have a really damaged relationship to learning,” said one. “It should be fun, not scary”—as in, you feel that you’re supposed to know the answer, which as a student, as she noted, makes no sense

“We need opportunities for reading and exploration that lie outside the credentialing system of the modern university,” he went on, because there’s so much in the latter that cuts against “the slow way that kind of learning unfolds.”

“How one might choose to live.” For many of our applicants—and this, of course, is what the program is about, what the humanities are about—learning has, or ought to have, an existential weight.

I detected a desire to be free of forces and agendas: the university’s agenda of “relevance,” the professoriate’s agenda of political mobilization, the market’s agenda of productivity, the internet’s agenda of surveillance and addiction. In short, the whole capitalistic algorithmic ideological hairball of coerced homogeneity

The desire is to not be recruited, to not be instrumentalized, to remain (or become) an individual, to resist regression toward the mean, or meme.

That is why it’s crucial that the Matthew Strother Center has no goal—and this is true of the Catherine Project and other off-campus humanities programs, as well—beyond the pursuit of learning for its own sake.

This is freedom. When education isn’t pointed in particular directions, its possibilities are endless