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“The Fallout universe lends itself really well to Shakespeare. It’s very desolate, very grotesque, very tragic, really,” says North. In this world, Shakespeare existed before the bombs fell, so it seemed logical that North and his friends could role-play a company keeping culture alive in the ruins of civilisation – like the troupe of actors in Emily St John Mandel’s post-apocalyptic dystopia, Station Eleven.

It takes months to pull a show together. First, North picks the play and adapts it. Hundreds of pages of script are shared with the crew, so set design and rehearsals can commence. “It’s just like a real theatre company, where you start with an idea and a few folks sitting together and figuring out what our season is going to look like,”

There are no ticketed seats, and the company makes no money. The majority of audiences stumble across the performances accidentally in the wasteland, and sit to watch the show for free – or tune in on Twitch, where the company broadcasts every performance live

n 2022 Fallout 76 claimed to have over 13.5 million players, some of whom North believes “may never have seen a Shakespeare play. Ninety-nine per cent of those who find us sit down and quietly watch the show … It’s really quite moving, performing for people who might not go to the theatre in their own communities or haven’t thought about Shakespeare since high school. We are tickled silly knowing that we are potentially reaching new, untapped audiences and (re)introducing Shakespeare to so many. I hope Shakespeare academics who study comparative drama will take note of our use of this new medium to reach new audiences

“I think we’re a perfect example of how video games inspire creativity, and celebrate theatre and culture and the arts. I hope that other gamers out there know that there’s so much potential for you to be able to express what you’re passionate about in video games.”

In the modern tech world, the value of a humanistic education shows up in evidence of its absence. Sam Bankman-Fried, the disgraced founder of the crypto exchange FTX who recently lost his $16 billion fortune in a few days, is a famously proud illiterate. “I would never read a book,” he once told an interviewer. “I don’t want to say no book is ever worth reading, but I actually do believe something pretty close to that.”

Elon Musk and Twitter are another excellent case in point. It’s painful and extraordinary to watch the ham-fisted way a brilliant engineering mind like Musk deals with even relatively simple literary concepts such as parody and satire. He obviously has never thought about them before.

The extraordinary ignorance on questions of society and history displayed by the men and women reshaping society and history has been the defining feature of the social-media era. Apparently, Mark Zuckerberg has read a great deal about Caesar Augustus, but I wish he’d read about the regulation of the pamphlet press in 17th-century Europe. It might have spared America the annihilation of social trust.

These failures don’t derive from mean-spiritedness or even greed, but from a willful obliviousness. The engineers do not recognize that humanistic questions—like, say, hermeneutics or the historical contingency of freedom of speech or the genealogy of morality—are real questions with real consequences

Everybody is entitled to their opinion about politics and culture, it’s true, but an opinion is different from a grounded understanding. The most direct path to catastrophe is to treat complex problems as if they’re obvious to everyone. You can lose billions of dollars pretty quickly that way.

As the technologists have ignored humanistic questions to their peril, the humanists have greeted the technological revolutions of the past 50 years by committing soft suicide.

As of 2017, the number of English majors had nearly halved since the 1990s. History enrollments have declined by 45 percent since 2007 alone

the humanities have not fundamentally changed their approach in decades, despite technology altering the entire world around them. They are still exploding meta-narratives like it’s 1979, an exercise in self-defeat.

Contemporary academia engages, more or less permanently, in self-critique on any and every front it can imagine.

the situation requires humanists to explain why they matter, not constantly undermine their own intellectual foundations.

The humanities promise students a journey to an irrelevant, self-consuming future; then they wonder why their enrollments are collapsing. Is it any surprise that nearly half of humanities graduates regret their choice of major?

Despite the clear value of a humanistic education, its decline continues. Over the past 10 years, STEM has triumphed, and the humanities have collapsed. The number of students enrolled in computer science is now nearly the same as the number of students enrolled in all of the humanities combined.

now there’s GPT-3. Natural-language processing presents the academic humanities with a whole series of unprecedented problems

Practical matters are at stake: Humanities departments judge their undergraduate students on the basis of their essays. They give Ph.D.s on the basis of a dissertation’s composition. What happens when both processes can be significantly automated?

despite the drastic divide of the moment, natural-language processing is going to force engineers and humanists together. They are going to need each other despite everything. Computer scientists will require basic, systematic education in general humanism: The philosophy of language, sociology, history, and ethics are not amusing questions of theoretical speculation anymore. They will be essential in determining the ethical and creative use of chatbots, to take only an obvious example.

The humanists will need to understand natural-language processing because it’s the future of language

that space for collaboration can exist, both sides will have to take the most difficult leaps for highly educated people: Understand that they need the other side, and admit their basic ignorance.

But that’s always been the beginning of wisdom, no matter what technological era we happen to inhabit.

The political and methodological stresses within the historical profession are intensified by economic troubles. For a long time, but especially since the economic crisis of 2008, university students have turned away from the humanities, preferring to major in fields that seem to offer more certain and lucrative employment. Consequently, academic jobs in the humanities and especially in history have become radically more precarious for younger faculty—even as universities have sought to meet diversity goals in their next-generation hiring by expanding offerings in history-adjacent specialties, such as gender and ethnic studies.

The result has produced a generational divide. Younger scholars feel oppressed and exploited by universities pressing them to do more labor for worse pay with less security than their elders; older scholars feel that overeager juniors are poised to pounce on the least infraction as an occasion to end an elder’s career and seize a job opening for themselves. Add racial difference as an accelerant, and what was intended as an interesting methodological discussion in a faculty newsletter can explode into a national culture war.

One of the greatest American Africanists was the late Philip Curtin. He wrote one of the first attempts to tally the exact number of persons trafficked by the transatlantic slave trade. Upon publication in 1972, his book was acclaimed as a truly pioneering work of history. By 1995, however, he was moved to protest against trends in the discipline at that time in an article in the Chronicle of Higher Education:I am troubled by increasing evidence of the use of racial criteria in filling faculty posts in the field of African history … This form of intellectual apartheid has been around for several decades, but it appears to have become much more serious in the past few years, to the extent that white scholars trained in African history now have a hard time finding jobs.

Much of academia is governed these days by a joke from the Soviet Union: “If you think it, don’t speak it. If you speak it, don’t write it. If you write it, don’t sign it. But if you do think it, speak it, write it, and sign it—don’t be surprised.”

Yet this silence has consequences, too. One of the most unsettling is the displacement of history by mythmaking

mythmaking is spreading from “just the movies” to more formal and institutional forms of public memory. If old heroes “must fall,” their disappearance opens voids for new heroes to be inserted in their place—and that insertion sometimes requires that new history be fabricated altogether, the “bad history” that Sweet tried to warn against.

If it is not the job of the president of the American Historical Association to confront those questions, then whose is it?

Sweet used a play on words—“Is History History?”—for the title of his complacency-shaking essay. But he was asking not whether history is finished, done with, but Is history still history? Is it continuing to do what history is supposed to do? Or is it being annexed for other purposes, ideological rather than historical ones?

Advocates of studying the more distant past to disturb and challenge our ideas about the present may accuse their academic rivals of “presentism.”

In real life, of course, almost everybody who cares about history believes in a little of each option. But how much of each? What’s the right balance? That’s the kind of thing that historians do argue about, and in the arguing, they have developed some dismissive labels for one another

Those who look to the more recent past to guide the future may accuse the other camp of “antiquarianism.”

The accusation of presentism hurts because it implies that the historian is sacrificing scholarly objectivity for ideological or political purposes. The accusation of antiquarianism stings because it implies that the historian is burrowing into the dust for no useful purpose at all.

In his mind, he was merely reopening one of the most familiar debates in professional history: the debate over why? What is the value of studying the past? To reduce the many available answers to a stark choice: Should we study the more distant past to explore its strangeness—and thereby jolt ourselves out of easy assumptions that the world we know is the only possible one?

Or should we study the more recent past to understand how our world came into being—and thereby learn some lessons for shaping the future?

The August edition of the association’s monthly magazine featured, as usual, a short essay by the association’s president, James H. Sweet, a professor at the University of Wisconsin at Madison. Within hours of its publication, an outrage volcano erupted on social media. A professor at Cornell vented about the author’s “white gaze.”

“The struggle to defend objective truth against people who consciously choose to deny or distort it has become a fight to defend our society, and democracy itself.”

Jonathan Swift, it’s worth noting that he was not an optimist about “truth.”

By the time a lie is refuted, he wrote, “it is too late; the jest is over, and the tale has had its effect: like a man, who has thought of a good repartee, when the discourse is changed, or the company parted; or like a physician, who has found out an infallible medicine, after the patient is dead.'“

“Considering that natural disposition in many men to lie, and in multitudes to believe,” he wrote in 1710, “I have been perplexed what to do with that maxim so frequent in every body's mouth; that truth will at last prevail.

A recent Washington Post tally found that nearly 300 Republicans running for congressional and state offices are election deniers. That means, as a FiveThirtyEight analysis found, 60 percent of Americans will have at least one election denier on their ballot next week.

In a new USA Today/Suffolk University poll, 63 percent of Republicans say they worry “the election results could be manipulated.”

From the New York Times: When asked, six Trump-backed Republican nominees for governor and the Senate in midterm battlegrounds would not commit to accepting this year’s election results.

The big mistake people have made is in assuming this could blow up only in an extensive struggle in 2024 and perhaps involving Donald Trump. What seems entirely unanticipated, yet is extremely predictable, is that smaller skirmishes could break out all over the country this year.

Democrats have got themselves in a situation where the head of their party holds the most popular position on guns and crime—and yet they’re getting crushed on the issue because they’ve let GOP campaign ads, the right wing media ecosystem, and assorted progressive big city prosecutors shape the narrative on the issue rather than doing so themselves.

the broad theme was clear: Social-media platforms are the main communication tools of the 21st century, and they matter.

With Trump at the center, the techlash morphed into a culture war with a clear partisan split. One could frame the position from the left as: We do not want these platforms to give a natural advantage to the most shameless and awful people who stoke resentment and fear to gain power

On the right, it might sound more like: We must preserve the power of the platforms to let outsiders have a natural advantage (by stoking fear and resentment to gain power).

the political world realized that platforms and content-recommendation engines decide which cultural objects get amplified. The left found this troubling, whereas the right found it to be an exciting prospect and something to leverage, exploit, and manipulate via the courts

Crucially, both camps resent the power of the technology platforms and believe the companies have a negative influence on our discourse and politics by either censoring too much or not doing enough to protect users and our political discourse.

one outcome of the techlash has been an incredibly facile public understanding of content moderation and a whole lot of culture warring.

Musk and Ye aren’t so much buying into the right’s overly simplistic Big Tech culture war as they are hijacking it for their own purposes; Trump, meanwhile, is mostly just mad

Each one casts himself as an antidote to a heavy-handed, censorious social-media apparatus that is either captured by progressive ideology or merely pressured into submission by it. But none of them has any understanding of thorny First Amendment or content-moderation issues.

They embrace a shallow posture of free-speech maximalism—the very kind that some social-media-platform founders first espoused, before watching their sites become overrun with harassment, spam, and other hateful garbage that drives away both users and advertisers

for those who can hit the mark without getting banned, social media is a force multiplier for cultural and political relevance and a way around gatekeeping media.

Musk, Ye, and Trump rely on their ability to pick up their phones, go direct, and say whatever they wan

the moment they butt up against rules or consequences, they begin to howl about persecution and unfair treatment. The idea of being treated similarly to the rest of a platform’s user base

is so galling to these men that they declare the entire system to be broken.

they also demonstrate how being the Main Character of popular and political culture can totally warp perspective. They’re so blinded by their own outlying experiences across social media that, in most cases, they hardly know what it is they’re buying

These are projects motivated entirely by grievance and conflict. And so they are destined to amplify grievance and conflict

There is no such thing as a trans child. Mermaids passionately advocates for the availability of puberty blockers for kids, despite the growing bank of evidence that they can cause a multitude of harms. The vast majority of those prescribed blockers go to take cross-sex hormones further down the line.

In the dim and distant past, lobotomies were performed on those with mental illness and psychosis, and today distressed children are being fed the line that they are trapped in the wrong body and that drugs and surgery is the solution. When and how did it become acceptable to pump kids full of harmful hormones and remove healthy body parts as opposed to offering them therapy?

I was in court during the cross examination of Mermaids and its supporter, and heard loud and clear its dismissal of the fact that sex is immutable. As far as Mermaids and its lackeys are concerned, all that is necessary to identify and live as the opposite sex is an inner ‘feeling’ of gender identity. The witnesses declared that trans men are men, and trans women, women. They were seemingly unconcerned when presented with the fact that there has been a 4000-plus per cent increase in girls presenting at clinics such as the Tavistock GIDS, claiming to be trans boys.

A recent interim report on the Tavistock GIDs recommended that it be closed down in due course, and that much of the ‘treatment’ at the clinic was focused solely on affirming a child’s trans identity and not scrutinising related issues such as mental health issues, autistic disorders, and abuse within the family home.

I first contacted Mermaids in 2003, when investigating the notion of ‘trans children’ and was given the cold shoulder. Many other individuals and organisations that have grave concerns about its practices have spoken out, and as a result have been labelled bigots and transphobes. That we are now about to be validated is little comfort, bearing in mind the number of lives ruined by irreversible medical intervention on children who, if supported therapeutically, would likely have grown up to be lesbian or gay.

As a result of its spiteful attempt to discredit LGB Alliance, it seems the practice and ideology of Mermaids is now being exposed. In my view it is an organisation led by dangerous ideology that promotes medical intervention to kids that simply need to be supported in who they are and in the bodies they were born with. I believe it deserves to be shut down.

In 1972, using duct tape and spare parts in the basement on the campus of the University of California, Berkeley, Dr. Clauser and a graduate student, Stuart Freedman, who died in 2012, endeavored to perform Bell’s experiment to measure quantum entanglement. In a series of experiments, he fired thousands of light particles, or photons, in opposite directions to measure a property known as polarization, which could have only two values — up or down. The result for each detector was always a series of seemingly random ups and downs. But when the two detectors’ results were compared, the ups and downs matched in ways that neither “classical physics” nor Einstein’s laws could explain. Something weird was afoot in the universe. Entanglement seemed to be real.

in 2002, Dr. Clauser admitted that he himself had expected quantum mechanics to be wrong and Einstein to be right. “Obviously, we got the ‘wrong’ result. I had no choice but to report what we saw, you know, ‘Here’s the result.’ But it contradicts what I believed in my gut has to be true.” He added, “I hoped we would overthrow quantum mechanics. Everyone else thought, ‘John, you’re totally nuts.’”

the correlations only showed up after the measurements of the individual particles, when the physicists compared their results after the fact. Entanglement seemed real, but it could not be used to communicate information faster than the speed of light.

In 1982, Dr. Aspect and his team at the University of Paris tried to outfox Dr. Clauser’s loophole by switching the direction along which the photons’ polarizations were measured every 10 nanoseconds, while the photons were already in the air and too fast for them to communicate with each other. He too, was expecting Einstein to be right.

Quantum predictions held true, but there were still more possible loopholes in the Bell experiment that Dr. Clauser had identified

For example, the polarization directions in Dr. Aspect’s experiment had been changed in a regular and thus theoretically predictable fashion that could be sensed by the photons or detectors.

Anton Zeilinger

added even more randomness to the Bell experiment, using random number generators to change the direction of the polarization measurements while the entangled particles were in flight.

Once again, quantum mechanics beat Einstein by an overwhelming margin, closing the “locality” loophole.

as scientists have done more experiments with entangled particles, entanglement is accepted as one of main features of quantum mechanics and is being put to work in cryptology, quantum computing and an upcoming “quantum internet

One of its first successes in cryptology is messages sent using entangled pairs, which can send cryptographic keys in a secure manner — any eavesdropping will destroy the entanglement, alerting the receiver that something is wrong.

, with quantum mechanics, just because we can use it, doesn’t mean our ape brains understand it. The pioneering quantum physicist Niels Bohr once said that anyone who didn’t think quantum mechanics was outrageous hadn’t understood what was being said.

In his interview with A.I.P., Dr. Clauser said, “I confess even to this day that I still don’t understand quantum mechanics, and I’m not even sure I really know how to use it all that well. And a lot of this has to do with the fact that I still don’t understand it.”

Diamond and Dybvig offered a stylized but insightful model of what banks do. They argued that there is always a tension between individuals’ desire for liquidity — ready access to funds — and the economy’s need to make long-term investments that can’t easily be converted into cash.

Banks square that circle by taking money from depositors who can withdraw their funds at will — making those deposits highly liquid — and investing most of that money in illiquid assets, such as business loans.

So banking is a productive activity that makes the economy richer by reconciling otherwise incompatible desires for liquidity and productive investment. And it normally works because only a fraction of a bank’s depositors want to withdraw their funds at any given time.

This does, however, make banks vulnerable to runs. Suppose that for some reason many depositors come to believe that many other depositors are about to cash out, and try to beat the pack by withdrawing their own funds. To meet these demands for liquidity, a bank will have to sell off its illiquid assets at fire sale prices, and doing so can drive an institution that should be solvent into bankruptcy

If that happens, people who didn’t withdraw their funds will be left with nothing. So during a panic, the rational thing to do is to panic along with everyone else.

There was, of course, a huge wave of banking panics in 1930-31. Many banks failed, and those that survived made far fewer business loans than before, holding cash instead, while many families shunned banks altogether, putting their cash in safes or under their mattresses. The result was a diversion of wealth into unproductive uses. In his 1983 paper, Bernanke offered evidence that this diversion played a large role in driving the economy into a depression and held back the subsequent recovery.

In the story told by Friedman and Anna Schwartz, the banking crisis of the early 1930s was damaging because it led to a fall in the money supply — currency plus bank deposits. Bernanke asserted that this was at most only part of the stor

a government backstop — either deposit insurance, the willingness of the central bank to lend money to troubled banks or both — can short-circuit potential crises.

Such arrangements offered a higher yield than conventional deposits. But they had no safety net, which opened the door to an old-style bank run and financial panic.

So banks need to be regulated as well as backstopped. As I said, the Diamond-Dybvig analysis had remarkably large implications for policy.

From an economic point of view, banking is any form of financial intermediation that offers people seemingly liquid assets while using their wealth to make illiquid investments.

This insight was dramatically validated in the 2008 financial crisis.

By the eve of the crisis, however, the financial system relied heavily on “shadow banking” — banklike activities that didn’t involve standard bank deposits

But providing such a backstop raises the possibility of abuse; banks may take on undue risks because they know they’ll be bailed out if things go wrong.

And the panic came. The conventionally measured money supply didn’t plunge in 2008 the way it did in the 1930s — but repo and other money-like liabilities of financial intermediaries did:

Fortunately, by then Bernanke was chair of the Federal Reserve. He understood what was going on, and the Fed stepped in on an immense scale to prop up the financial system.

a sort of meta point about the Diamond-Dybvig work: Once you’ve understood and acknowledged the possibility of self-fulfilling banking crises, you become aware that similar things can happen elsewhere.

Perhaps the most notable case in relatively recent times was the euro crisis of 2010-12. Market confidence in the economies of southern Europe collapsed, leading to huge spreads between the interest rates on, for example, Portuguese bonds and those on German bonds. The conventional wisdom at the time — especially in Germany — was that countries were being justifiably punished for taking on excessive debt

the Belgian economist Paul De Grauwe argued that what was actually happening was a self-fulfilling panic — basically a run on the bonds of countries that couldn’t provide a backstop because they no longer had their own currencies.

Sure enough, when Mario Draghi, the president of the European Central Bank at the time, finally did provide a backstop in 2012 — he said the magic words “whatever it takes,” implying that the bank would lend money to the troubled governments if necessary — the spreads collapsed and the crisis came to an end:

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

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

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

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

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

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

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

in December 2021 I paid Brendan a visit

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

“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!”

That allows quantum computers to make many calculations in one pass, while digital ones have to perform each calculation separately. By speeding up computation, quantum computers could potentially solve big, complex problems in fields like chemistry and materials science that are out of reach today.

When Google researchers made their supremacy claim in 2019, they said their quantum computer performed a calculation in 3 minutes 20 seconds that would take about 10,000 years on a state-of-the-art conventional supercomputer.

The IBM researchers in the new study performed a different task, one that interests physicists. They used a quantum processor with 127 qubits to simulate the behavior of 127 atom-scale bar magnets — tiny enough to be governed by the spooky rules of quantum mechanics — in a magnetic field. That is a simple system known as the Ising model, which is often used to study magnetism.

This problem is too complex for a precise answer to be calculated even on the largest, fastest supercomputers.

On the quantum computer, the calculation took less than a thousandth of a second to complete. Each quantum calculation was unreliable — fluctuations of quantum noise inevitably intrude and induce errors — but each calculation was quick, so it could be performed repeatedly.

Indeed, for many of the calculations, additional noise was deliberately added, making the answers even more unreliable. But by varying the amount of noise, the researchers could tease out the specific characteristics of the noise and its effects at each step of the calculation.“We can amplify the noise very precisely, and then we can rerun that same circuit,” said Abhinav Kandala, the manager of quantum capabilities and demonstrations at IBM Quantum and an author of the Nature paper. “And once we have results of these different noise levels, we can extrapolate back to what the result would have been in the absence of noise.”In essence, the researchers were able to subtract the effects of noise from the unreliable quantum calculations, a process they call error mitigation.

Altogether, the computer performed the calculation 600,000 times, converging on an answer for the overall magnetization produced by the 127 bar magnets.

Although an Ising model with 127 bar magnets is too big, with far too many possible configurations, to fit in a conventional computer, classical algorithms can produce approximate answers, a technique similar to how compression in JPEG images throws away less crucial data to reduce the size of the file while preserving most of the image’s details

Certain configurations of the Ising model can be solved exactly, and both the classical and quantum algorithms agreed on the simpler examples. For more complex but solvable instances, the quantum and classical algorithms produced different answers, and it was the quantum one that was correct.

Thus, for other cases where the quantum and classical calculations diverged and no exact solutions are known, “there is reason to believe that the quantum result is more accurate,”

Mr. Anand is currently trying to add a version of error mitigation for the classical algorithm, and it is possible that could match or surpass the performance of the quantum calculations.

In the long run, quantum scientists expect that a different approach, error correction, will be able to detect and correct calculation mistakes, and that will open the door for quantum computers to speed ahead for many uses.

Error correction is already used in conventional computers and data transmission to fix garbles. But for quantum computers, error correction is likely years away, requiring better processors able to process many more qubits

“This is one of the simplest natural science problems that exists,” Dr. Gambetta said. “So it’s a good one to start with. But now the question is, how do you generalize it and go to more interesting natural science problems?”

Those might include figuring out the properties of exotic materials, accelerating drug discovery and modeling fusion reactions.

The fact that Thomas was very likely nominated because he was Black and because he opposed affirmative action posed a conundrum for many supporters of racial preferences. Was being Black enough? Or did you have to be “the right kind” of Black person? It’s a question Carter openly wrestles with in his book.

What immediately struck me on rereading it was how prescient Carter was about these debates 32 years ago. What role affirmative action should take was playing out then in ways that continue to reverberate.

The demise of affirmative action, in Carter’s view, was both necessary and inevitable. “We must reject the common claim that an end to preferences ‘would be a disastrous situation, amounting to a virtual nullification of the 1954 desegregation ruling,’” he wrote, quoting the activist and academic Robert Allen. “The prospect of its end should be a challenge and a chance.”

Like many people today — both proponents and opponents of affirmative action — he expressed reservations about relying on diversity as the constitutional basis for racial preferences.

Carter bristled at the judgment of many of his Black peers, describing several situations in which he found himself accused of being “inauthentically” Black, as if people of a particular race were a monolith and that those who deviated from it were somehow shirking their duty. He said he didn’t want to be limited in what he was allowed to say by “an old and vicious form of silencing.”

But the implication of recruiting for diversity, Carter explained, had less to do with admitting Black students to redress past discrimination and more to do with supporting and reinforcing essentialist notions about Black people.

An early critic of groupthink, Carter warned against “the idea that Black people who gain positions of authority or influence are vested a special responsibility to articulate the presumed views of other people who are Black — in effect, to think and act and speak in a particular way, the Black way — and that there is something peculiar about Black people who insist on doing anything else.”

A graduate of Stanford and Yale Law, Carter was a proud beneficiary of affirmative action. Yet he acknowledged the personal toll it took (“a decidedly mixed blessing”) as well as affirmative action’s sometimes troubling effects on Black people as the programs evolved.

, it’s hard to imagine Carter welcoming the current vogue for white allyship, with its reductive assumption that all Black people have the same interests and values

He disparaged what he called “the peculiar relationship between Black intellectuals and the white ones who seem loath to criticize us for fear of being branded racists — which is itself a mark of racism of a sort.”

In the past, such ideas might have been seen as “frankly racist,” Carter noted. “Now, however, they are almost a gospel for people who want to show their commitment to equality.”

Carter took issue with the belief, now practically gospel in academic, cultural and media circles, that heightened race consciousness would be central to overcoming racism

However well intentioned you may be, when you reduce people to their race-based identity rather than view them as individuals in their full, complex humanity, you risk making sweeping assumptions about who they are. This used to be called stereotyping or racism.

he rejected all efforts to label him, insisting that intellectuals should be “politically unpredictable.

“Critics who attempt to push (or pull) Carter into the ranks of the Black right wing will be making a mistake. He is not a conservative, neo- or otherwise. He is an honest Black scholar — the product of the pre-politically correct era — who abhors the stifling of debate by either wing or by people of any hue.”

This strikes me as the greatest difference between reading the book today and reading it as an undergrad at a liberal Ivy League college: the attitude toward debating controversial views. “Reflections” offers a vigorous and unflinching examination of ideas, something academia, media and the arts still prized in 1991.

Today, a kind of magical thinking has seized ideologues on both the left and the right, who seem to believe that stifling debate on difficult questions will make them go away

 virtual influencers can also be cost-effective and provide more flexibility than a human alternative. 

“When it comes to an endorsement by a virtual influencer, the followers start questioning the expertness of the influencer on the field of the endorsed product/service,” he says. “Pretending that the influencer has actual experience with the product backfires.”

In one part of the study, about 300 participants were shown a social-media post purported to be from an influencer about either ice cream or sunglasses. Then, roughly half were told the influencer was human and half were told she was virtual. Regardless of the product, participants perceived the virtual influencer to be less credible than its “human” counterpart. Participants who were told the influencer was virtual also had a less-positive attitude toward the brand behind the product.

When the influencers “can’t really use the brand they are promoting,” it’s hard to see them as trustworthy experts, say Ozdemir.

Two groups saw a post with an emotional endorsement where the influencer uses words like love and adore. The other two groups saw a more staid post, focusing on specific software features. In each scenario one group was told the influencer was human and one group was told the influencer was virtual.

For the emotional endorsement, participants found the human influencer to be more credible. Participants who were told the influencer was human also had a more positive view of the brand than those who were told the influencer was virtual.

For the more factual endorsement, however, there was no statistically significant difference between the two groups when it came to influencer credibility or brand perception.

“When it comes to delivering a more factual endorsement, highlighting features that could be found by doing an internet search, participants really didn’t seem to care if the influencer was human or not,”

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

CarynAI is the first major release from a company called Forever Voices. The company previously has created realistic AI chatbots that allow users to talk with replicated versions of Steve Jobs, Kanye West, Donald Trump and Taylor Swift

CarynAI is a far more sophisticated product, the company says, and part of Forever Voices’ new AI companion initiative, meant to provide users with a girlfriend-like experience that fans can emotionally bond with.

John Meyer, CEO and founder of Forever Voices, said that he created the company last year, after trying to use AI to develop ways to reconnect with his late father, who passed away in 2017. He built an AI voice chatbot that replicated his late father’s voice and personality to talk to and found the experience incredibly healing. “It was a remarkable experience to talk to him again in a super realistic way,” Meyer said. “I’ve been in tech my whole life, I’m a programmer, so it was easy for me to start building something like that especially as things got more advanced with the AI space.”

Meyer’s company has about 10 employees. One job Meyer is hoping to fill soon is chief ethics officer. “There are a lot of ways to do this wrong,”

One safeguard is trying to limit the amount of time a user is allowed to chat with CarynAI. To keep users from becoming addicted, CarynAI is programmed to wind down conversations after about an hour, encouraging users to pick back up later. But there is no hard time limit on use, and some users are spending hours speaking to CarynAI per day, according to Marjorie’s manager, Ishan Goel.

“I consider myself a futurist at heart and when I look into the future I believe this is the beginning of a very diverse future consisting of AI to human companionship,”

Elizabeth Snower, founder of ICONIQ, which creates conversational 3D avatars, predicts that soon there will be “AI influencers on every social platform that are influencing consumer decisions.”

“A lot of people have just been kind of really mad at the existence of this. They think that it’s the end of humanity,” she said.

Marjorie hopes the backlash will fade when other online personalities begin rolling out their own AI companions

“I think in the next five years, most Americans will have an AI companion in their pocket in some way, shape or form, whether it’s an ultra flirty AI that you’re dating, an AI that’s your personal trainer, or simply a tutor companion. Those are all things that we are building internally,

That strikes AI adviser and investor Allie K. Miller as a likely outcome. “I can imagine a future in which everyone — celebrities, TV characters, influencers, your brother — has an online avatar that they invite their audience or friends to engage with. … With the accessibility of these models, I’m not surprised it’s expanding to scaled interpersonal relationships.”

Essentially, Lasch was attacking the notion, fashionable as Americans basked in their seeming victory over the Soviet Union in the Cold War, that history had a direction — and that one would be wise to stay on the “right side” of it.

Francis Fukuyama expressed a version of this triumphalist idea in his famous 1992 book, “The End of History and the Last Man,” in which he celebrated the notion that History with a capital “H,” in the sense of a battle between competing ideas, was ending with communism left to smolder on Ronald Reagan’s famous ash heap.

One of Martin Luther King Jr.’s most frequently quoted lines speaks to a similar thought, albeit in a different context: “T​he arc of the moral universe is long, but it bends toward justice.” Though he had read Lasch, Obama quoted that line often, just as he liked to say that so-and-so would be “on the wrong side of history” if they didn’t live up to his ideals — whether the issue was same-sex marriage, health policy or the Russian occupation of Crimea.

The memo goes on to list two sets of words: “Optimistic Positive Governing Words” and “Contrasting Words,” which carried negative connotations. One of the latter group was the word “liberal,” sandwiched between “intolerant” and “lie.”

So what’s the difference between a progressive and a liberal?To vastly oversimplify matters, liberal usually refers to someone on the center-left on a two-dimensional political spectrum, while progressive refers to someone further left.

But “liberal” has taken a beating in recent decades — from both left and right.

In the late 1980s and 1990s, Republicans successfully demonized the word “liberal,” to the point where many Democrats shied away from it in favor of labels like “conservative Democrat” or, more recently, “progressive.”

“Is the story of the 20th century about the defeat of the Soviet Union, or was it about two world wars and a Holocaust?” asked Matthew Sitman, the co-host of the “Know Your Enemy” podcast, which recently hosted a discussion on Lasch and the fascination many conservatives have with his ideas. “It really depends on how you look at it.”

None of this was an accident. In 1996, Representative Newt Gingrich of Georgia circulated a now-famous memo called “Language: A Key Mechanism of Control.”

The authors urged their readers: “The words and phrases are powerful. Read them. Memorize as many as possible.”

Republicans subsequently had a great deal of success in associating the term “liberal” with other words and phrases voters found uncongenial: wasteful spending, high rates of taxation and libertinism that repelled socially conservative voters.

Many on the left began identifying themselves as “progressive” — which had the added benefit of harking back to movements of the late 19th and early 20th centuries that fought against corruption, opposed corporate monopolies, pushed for good-government reforms and food safety and labor laws and established women’s right to vote.

Allies of Bill Clinton founded the Progressive Policy Institute, a think tank associated with so-called Blue Dog Democrats from the South.

Now, scrambling the terminology, groups like the Progressive Change Campaign Committee agitate on behalf of proudly left-wing candidates

In 2014, Charles Murray, the polarizing conservative scholar, urged readers of The Wall Street Journal’s staunchly right-wing editorial section to “start using ‘liberal’ to designate the good guys on the left, reserving ‘progressive’ for those who are enthusiastic about an unrestrained regulatory state.”

As Sanders and acolytes like Representative Alexandria Ocasio-Cortez of New York have gained prominence over the last few election cycles, many on the left-wing end of the spectrum have begun proudly applying other labels to themselves, such as “democratic socialist.”

To little avail so far, Kazin, the Georgetown historian, has been urging them to call themselves “social democrats” instead — as many mainstream parties do in Europe.“It’s not a good way to win elections in this country, to call yourself a socialist,” he said.

“When you show people deepfakes and generative AI, a lot of times they come out of the experiment saying, ‘I just don’t trust anything anymore,’” says David Rand, a professor at MIT Sloan who studies the creation, spread and impact of misinformation.

This problem, which has grown more acute in the age of generative AI, is known as the “liar’s dividend,

The combination of easily-generated fake content and the suspicion that anything might be fake allows people to choose what they want to believe, adds DiResta, leading to what she calls “bespoke realities.”

Examples of misleading content created by generative AI are not hard to come by, especially on social media

The signs that an image is AI-generated are easy to miss for a user simply scrolling past, who has an instant to decide whether to like or boost a post on social media. And as generative AI continues to improve, it’s likely that such signs will be harder to spot in the future.

“What our work suggests is that most regular people do not want to share false things—the problem is they are not paying attention,”

in the course of a lawsuit over the death of a man using Tesla’s “full self-driving” system, Elon Musk’s lawyers responded to video evidence of Musk making claims about this software by suggesting that the proliferation of “deepfakes” of Musk was grounds to dismiss such evidence. They advanced that argument even though the clip of Musk was verifiably real

are now using its existence as a pretext to dismiss accurate information

People’s attention is already limited, and the way social media works—encouraging us to gorge on content, while quickly deciding whether or not to share it—leaves us precious little capacity to determine whether or not something is true

If the crisis of authenticity were limited to social media, we might be able to take solace in communication with those closest to us. But even those interactions are now potentially rife with AI-generated fakes.

what sounds like a call from a grandchild requesting bail money may be scammers who have scraped recordings of the grandchild’s voice from social media to dupe a grandparent into sending money.

companies like Alphabet, the parent company of Google, are trying to spin the altering of personal images as a good thing. 

With its latest Pixel phone, the company unveiled a suite of new and upgraded tools that can automatically replace a person’s face in one image with their face from another, or quickly remove someone from a photo entirely.

Joseph Stalin, who was fond of erasing people he didn’t like from official photos, would have loved this technology.

In Google’s defense, it is adding a record of whether an image was altered to data attached to it. But such metadata is only accessible in the original photo and some copies, and is easy enough to strip out.

The rapid adoption of many different AI tools means that we are now forced to question everything that we are exposed to in any medium, from our immediate communities to the geopolitical, said Hany Farid, a professor at the University of California, Berkeley who

To put our current moment in historical context, he notes that the PC revolution made it easy to store and replicate information, the internet made it easy to publish it, the mobile revolution made it easier than ever to access and spread, and the rise of AI has made creating misinformation a cinch. And each revolution arrived faster than the one before it.

Not everyone agrees that arming the public with easy access to AI will exacerbate our current difficulties with misinformation. The primary argument of such experts is that there is already vastly more misinformation on the internet than a person can consume, so throwing more into the mix won’t make things worse.

it’s not exactly reassuring, especially given that trust in institutions is already at one of the lowest points in the past 70 years, according to the nonpartisan Pew Research Center, and polarization—a measure of how much we distrust one another—is at a high point.

“What happens when we have eroded trust in media, government, and experts?” says Farid. “If you don’t trust me and I don’t trust you, how do we respond to pandemics, or climate change, or have fair and open elections? This is how authoritarianism arises—when you erode trust in institutions.”

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.”

In it, Baudrillard argues that there are four phases of the image - a faithful depiction of that which really is, an unfaithful depiction of that which really is, a depiction that covers up for the fact that there is nothing which is actually being depicted, and the simulacra, which exists in a human culture of such universal equivalency that no one has the grounding necessary to know what “reality” might even be outside of equivalencies, outside of depiction

at this stage, the litbro really exists precisely within Baudrillard’s concepts - it is a representation of someone else’s representation, a second-hand depiction, an archetype that is now developed fully through reference to itself rather than to some underlying reality. Baudrillard said that the development of simulacra is “a question of substituting the signs of the real for the real.”

Another example you often hear is the 1950s diner, the joint that has the neon signs and the art deco styling and the mini jukeboxes at the tables. This classic bit of Americana is not, in fact, based on what diners were like in the 1950s; it’s someone’s idea of what 1950s diners were like, which then spread mimetically from the actual physical 1950s diners that had been built to films and television, which then acted as “proof” that the imaginary diners were real, creating a social expectation of what a diner looks like that diner owners then felt pressure to fulfill…. Eventually most people came to believe that this is what diners were like in the 1950s. The point, though, is not that this is an act of deception. The point is that the consumerist reality in which these restaurants exists obliterates any belief in a true or false depiction. (No one cares whether the classic 1950s diner actually depicts a historical truth, really