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Since coming to power in 2019, Bukele has declared a still-to-be-rescinded state of exception, suspended the Salvadorean constitution, and locked up some 70,000 alleged gang members without due process.

Western critics, though, point to allegations that he has corrupted institutions by packing them with allies, not to mention, according to Amnesty International, “concealed and distorted public information, backed actions to undermine civic space, militarised public security, and used mass arrests and imprisonment as the sole strategies for counteracting violence in the country”.

yet, Bukele’s strongman tactics have made him wildly popular with Salvadoreans, who doubtless enjoy a reported 70% reduction in the country’s previously extremely high murder rate. They have also made Bukele a rock star for the online Right. This group, fond of complaining about spineless leaders, fraying Western law and order, and the bleeding-away of political agency into international institutions and NGOs, regards the spectacle of a strongman leader with good social media game as something like a fantasy made flesh.

Arguably, it’s as much his embrace of technology that accords Bukele the mantle of poster-boy for a futuristic Right. Whether in his extremely online presence, his (admittedly not completely successful) embrace of Bitcoin as legal tender, or the high-tech, recently rebuilt National Library, funded by Beijing and serving more as showcase for futuristic technologies than as reading-room

This trait also makes him a touchstone for the Right-wing movement that I predict will replace “conservatism” in the 21st century. This outlook owes more to the Italian Futurist Filippo Marinetti than conservatives of the G.K. Chesterton variety

is perhaps most visibly embodied in American technologists such as Elon Musk, Mark Andreessen or Peter Thiel. As a worldview, it is broadly pro-capitalist, enthusiastically pro-technology and unabashedly hierarchical, as well as sometimes also scornful of Christian-inflected concern for the weak.

We might call it, rudely, “space fascism”, though N.S. Lyons’s formulation “Right-wing progressivism” is probably more accurate. Among its adherents, high-tech authoritarianism is a feature, not a bug, and egalitarianism is for fools. Thinkers such as Curtis Yarvin propose an explicitly neo-monarchical model for governance; Thiel has declared that: “I no longer believe freedom and democracy are compatible.”

El Salvador is thus the most legible real-world instance of something like a Right-wing progressive programme in practice. And along with the tech enthusiasm and public-order toughness, the third distinctive feature of this programme can be gleaned: a desire not to end international migration, but to restrict it to elites.

For Right-wing progressives, polities are not necessarily premised on ethnic or cultural homogeneity — at least not for elites. Rather, this is a vision of statehood less based on affinity, history or even ethnicity, and more on a kind of opt-in, utility-maximisation model

As for those still wedded to the 20th-century idea that being Right-wing necessarily means ethnicity-based nationalism, they are likely to find this outlook bewildering.

Right-wing progressives generally accord greater political value to gifted, high-productivity foreigners than any slow-witted, unproductive coethnic: those within Right-wing progressive circles propose, and in some cases are already working on, opt-in startup cities and “network states” that would be, by definition, highly selective about membership.

As a worldview, it’s jarring to cultural conservatives, who generally value thick ties of shared history and affinity

Yet it’s still more heretical to egalitarian progressives, for whom making migration and belonging an elite privilege offends every premise of inclusion and social justice.

Right-wing progressives, by contrast, propose to learn from the immigration policies of polities such as Singapore and the Gulf states, and avert the political challenges posed by ethnic voting blocs by imposing tiered citizenship for low-skilled migrants, while courting the wealth and productivity of international elites

Bukele’s proposal suggests a pragmatic two-tier Right-wing progressive migration policy that courts rich, productive, geographically rootless international “Anywheres” of the kind long understood to have more affinity with one another than with less wealthy and more rooted “Somewheres” — but to do so while explicitly protecting cultural homogeneity on behalf of the less-mobile masses.

There are larger structural reasons for such pragmatism, not least that population growth is slowing or going into reverse across most of the planet.

At the same time, impelled by easier transportation, climate change, social-media promises of better lives elsewhere, and countless other reasons, people everywhere are on the move. As such, like a global game of musical chairs, a battle is now on for who ends up where, once the music stops — and on what terms.

How do you choose who is invited? And how do you keep unwanted demographics out? Within an egalitarian progressive framework, these are simply not questions that one may ask

Within the older, cultural conservative framework, meanwhile, all or most migration is viewed with suspicion.

The Right-wing progressive framework, by contrast, is upbeat about migration — provided it’s as discerning as possible, ideally granting rights only to elite incomers and filtering others aggressively by demographics, for example an assessment of the statistical likeliho

od of committing crime or making a net economic contribution.

In Britain, meanwhile, whatever happens to the Tories, I suspect we’ll see more of the Right-wing progressives. I find many of their policies unnerving, especially on the biotech side; but theirs is a political subculture with optimism and a story about the future, two traits that go a long way in politics.

Special effects software can give your music all sorts of subtle vibes. For $299, for instance, you can make your song sound as though it was recorded in Sound City Studios in Los Angeles, on the $20,000 vintage microphones with the $100,000 mixing console that recorded Fleetwood Mac and Nirvana. For $259 you can simulate the Beatles’ Abbey Road Studios

In the past, when you assembled all the tracks for a song, it would have to be mixed and mastered in a studio by a sound engineer adjusting the levels. Now an app will do it for you.

Now, all you need to do is get the files uploaded to streaming services. If you are signed with a label, they will do that for you, but you don’t need a record deal to do that. There are companies such as DistroKid that act as postmen: for £17.99 a year, you can ensure that the song you created in your bedroom is available on multiple streaming platforms.

Some artists thrive on social media. It suits lively, quirky performers like Ryder, and artists who want to experiment with different genres. Mxmtoon, a 23-year-old American YouTuber, singer-songwriter and ukulele player, is also a streamer on Twitch, a platform on which people watch others playing online games, has published graphic novels and made a podcast. Maia — the artist’s name — describes mxmtoon as “a multi-hyphenated project”.

More traditional musicians struggle with some aspects of tech. “We get together,” says Sital-Singh of his contemporaries in the business, “and have a little moan about how everyone’s telling us to do TikTok and we can’t bring ourselves to dance and we feel old and decrepit.”

Even digital natives struggle sometimes: “I already have nostalgia for a simpler past, even though I’m 23,” says Maia. “It’s exciting but it does put so much pressure on a normal individual to be an entrepreneur to advertise their own personal brand.”

Journalists, regrettably, no longer have the power they once did. What matters these days is social media. The A&R (artists and repertoire) people at record companies who would once have hung out in basement clubs scouting for new talent now sit in meetings examining the data on artists’ social media performance.

Now that the whole world’s music is available all over the world at the click of a play button, there’s a greater diversity among top-selling artists.

People making videos of themselves performing or dancing to the song on TikTok helped propel it to the stratosphere. It has been streamed a billion times. Sethi now plays to packed venues in America and Europe; last year, he performed at Coachella, America’s Glastonbury. “Without digital technology I would be a south Asian indy musician, working on the fringes of Bollywood,” he says from his home in New York.

For musicians, it’s more ambiguous. Because the costs of making music are lower, anybody with ambition can have a go. Many more people, as a result, are getting into the music business. According to PPL, the organisation which distributes money to music performers and rights-holders, the number of registered artists has risen from 61,310, when the industry was at its nadir, to 165,039 last year.

That makes the business fiercely competitive. As Will Page, former chief economist at Spotify and author of Tarzan Economics, points out, around 100,000 tracks are being uploaded on to Spotify every day: that’s more than were released in an entire calendar year in the 1980s

That has cemented the power of the record companies. When the digital revolution started, it was widely expected that record labels would cease to exist, and be replaced by a model in which everybody promoted and distributed their own music. That’s not what has happened: because it’s so difficult to get noticed, embryonic stars need record labels to promote them.

A label invests in the production of the music, the styling of the band, video content, interviews, touring and the crucial business of getting a song on a streaming service’s playlist that suggests the song to listeners to suit their tastes. Artists that are signed with major labels get paid more, per stream, than those that aren’t.

Three quarters of streamed tracks have one of the major record labels behind them. And even though streaming is booming, it doesn’t contribute much to the incomes of the vast majority of artists.

Most artists stay hungry. A single stream will earn a musician anywhere between 0.1p and 2.4p. Crispin Hunt reckons that on average a million streams for a song — a wild ambition for most musicians — will, if you have to pay a cut to a record company, probably make you £1,000

If you’ve then got to pay your manager 20 per cent, and divide the rest between the four band members, “it barely pays for a Sainsbury’s shop. That’s why music is dominated by middle-class people called Crispin whose parents can afford to buy them an electric guitar and a laptop.”

For Christie Gardner, half of Lilo, a two-woman band, it helps planning gigs. “You can see where your listeners are and you can tell what they’re listening to. We make decisions about shows on that basis.” But for most bands, the economics of live performance are pretty grim.

Deathcrash’s manager Joe Taylor says that the band has been offered the opportunity of a European tour supporting a much bigger act. It would be good for their career but not their bank balance. The fees per show would be €200; once the costs of a sound engineer, a tour van, a driver, fuel, hotels and a carnet for importing musical instruments into the EU had been factored in, they would lose £15,000.

music has always been an uneconomic business, which people subsidise through other activities. The fiddler in the village pub probably worked in the fields in the daytime and played for money and fun in the evenings and at the weekend, rather as Ryder ran a juice bar and sang at weddings. These days, there is also the wafer-thin chance that they might end up being one of the 1,200 artists who make more than $1 million a year on Spotify

There are some signs that in the new musical economy, the balance of power between artists and the big record companies may have tipped slightly in the artists’ favour

the share of streaming revenues going to artists increased from 19.7 per cent to 23.3 per cent between 2012 and 2021 and that going to songwriters has risen from 8 per cent in 2008 to 15 per cent in 2021. “Outcomes for consumers, artists and songwriters,” it concludes, “are getting better.”

Most of the extra revenues generated by streaming are going to the top earners. But the stars are not the only ones benefiting. Between 2017 and 2022, the number of artists earning over $1 million on Spotify more than doubled, but so did the number earning over $10,000

more than two fifths of artists who release their own music aren’t expecting to make a full-time career. They’re in it for fun, for the love of it, or to be able to show their mum that they have released a song on Spotify.

It seems likely that the more music is being created, the greater the chance that wonderful tunes are being written, but it’s not necessarily the case. The best stuff might get buried under a mound of mediocrity.

He is concerned that masters of the A.I. universes are developing systems that will expand chasms of inequality. He fears the transition to A.I. will be so abrupt that entire professional fields will be left doing menial jobs, or nothing, stripping people of dignity and unleashing floods of “despair.”

Father Benanti, who does not believe in the industry’s ability to self-regulate and thinks some rules of the road are required in a world where deep fakes and disinformation can erode democracy.

He shares his insights with Pope Francis, who in his annual World Day of Peace message on Jan. 1 called for a global treaty to ensure the ethical development and use of AI to prevent a world devoid of human mercy, where inscrutable algorithms decide who is granted asylum, who gets a mortgage, or who, on the battlefield, lives or dies.

all the time he applies his perspective about what it means to be alive, and to be human, when machines seem more alive and human. “This is a spiritual question,” he said.

raises enormous questions about redistributing wealth in an A.I. dominant universe.

he pursued an engineering degree at Sapienza University in Rome. It wasn’t enough.“I started to feel that something was missing,” he said, explaining that his advancement as an engineering student erased the mystique machines held for him. “I simply broke the magic.”

He left Rome to study in Assisi, the home of St. Francis, and over the next decade, took his final vows as a friar, was ordained as a priest and defended his dissertation on human enhancement and cyborgs. He got his job at the Gregorian, and eventually as the Vatican’s IT ethics guy.

In 2017, Cardinal Ravasi organized an event at the Italian embassy to the Holy See where Father Benanti gave a talk on the ethics of A.I. Microsoft officials in attendance were impressed and asked to stay in touch. That same year, the Italian government asked him to contribute to A.I. policy documents and the next year he successfully applied to sit on its commission for developing a national A.I. strategy.

Francis, he said, didn’t at first realize what Microsoft really did, but liked that Mr. Smith took out of his pocket one of the pope’s speeches on social media and showed the pontiff the concerns the business executive had highlighted and shared.

e said, arguing that as ancient Roman augurs turned to the flight of birds for direction, A.I., with its enormous grasp of our physical, emotional and preferential data, could be the new oracles, determining decisions, and replacing God with false idols.

“It’s something old that probably we think that we left behind,” the friar said, “but that is coming back.”

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.”

Altman and OpenAI have been candid on this front. The end goal of OpenAI has always been to build a so-called artificial general intelligence, or AGI, that would, in their imagining, alter the course of human history forever, ushering in an unthinkable revolution of productivity and prosperity—a utopian world where jobs disappear, replaced by some form of universal basic income, and humanity experiences quantum leaps in science and medicine. (Or, the machines cause life on Earth as we know it to end.) The stakes, in this hypothetical, are unimaginably high—all the more reason for OpenAI to accelerate progress by any means necessary.

As with other grand projects of the 20th century, the voting public had a voice in both the aims and the execution of the Apollo missions. Altman made it clear that we’re no longer in that world. Rather than waiting around for it to return, or devoting his energies to making sure that it does, he is going full throttle forward in our present reality.

In response to one question about AGI rendering jobs obsolete, Jeff Wu, an engineer for the company, confessed, “It’s kind of deeply unfair that, you know, a group of people can just build AI and take everyone’s jobs away, and in some sense, there’s nothing you can do to stop them right now.” He added, “I don’t know. Raise awareness, get governments to care, get other people to care. Yeah. Or join us and have one of the few remaining jobs. I don’t know; it’s rough.”

Part of Altman’s reasoning, he told Andersen, is that AI development is a geopolitical race against autocracies like China. “If you are a person of a liberal-democratic country, it is better for you to cheer on the success of OpenAI” rather than that of “authoritarian governments,” he said. He noted that, in an ideal world, AI should be a product of nations. But in this world, Altman seems to view his company as akin to its own nation-state.

Wu’s colleague Daniel Kokotajlo jumped in with the justification. “To add to that,” he said, “AGI is going to create tremendous wealth. And if that wealth is distributed—even if it’s not equitably distributed, but the closer it is to equitable distribution, it’s going to make everyone incredibly wealthy.”

This is the unvarnished logic of OpenAI. It is cold, rationalist, and paternalistic. That such a small group of people should be anointed to build a civilization-changing technology is inherently unfair, they note. And yet they will carry on because they have both a vision for the future and the means to try to bring it to fruition

Wu’s proposition, which he offers with a resigned shrug in the video, is telling: You can try to fight this, but you can’t stop it. Your best bet is to get on board.

some sort of correction was probably due. Sex-positive feminism went from “hey, women shouldn’t feel ashamed about enjoying sex” to “it’s feminist to enjoy being choked while having lots of casual sex” alarmingly quickly.

What was meant to liberate women turned into a repackaging of the patriarchy. “It feels like we were tricked into exploiting ourselves,” one twentysomething told BuzzFeed, summing up the general vibe.

A new passion for celibacy among young women feels like a natural way of putting that chapter of feminism to bed.

Their reasoning is straightforward: These companies have decided that the best way to make generative AI better is to build bigger AI models. And that is really, really expensive, requiring resources on the scale of moon missions and the interstate-highway system to fund the data centers and related infrastructure that generative AI depends on

“If we’re going to justify a trillion or more dollars of investment, [AI] needs to solve complex problems and enable us to do things we haven’t been able to do before.” Today’s flagship AI models, he said, largely cannot.

Now a number of voices in the finance world are beginning to ask whether all of this investment can pay off. OpenAI, for its part, may lose up to $5 billion this year, almost 10 times more than what the company lost in 2022,

Over the past few weeks, analysts and investors at some of the world’s most influential financial institutions—including Goldman Sachs, Sequoia Capital, Moody’s, and Barclays—have issued reports that raise doubts about whether the enormous investments in generative AI will be profitable.

Dario Amodei, the CEO of the rival start-up Anthropic, has predicted that a single AI model (such as, say, GPT-6) could cost $100 billion to train by 2027. The global data-center buildup over the next few years could require trillions of dollars from tech companies, utilities, and other industries, according to a July report from Moody’s Ratings.

generative AI has already done extraordinary things, of course—advancing drug development, solving challenging math problems, generating stunning video clips. But exactly what uses of the technology can actually make money remains unclear

At present, AI is generally good at doing existing tasks—writing blog posts, coding, translating—faster and cheaper than humans can. But efficiency gains can provide only so much value, boosting the current economy but not creating a new one.

Right now, Silicon Valley might just functionally be replacing some jobs, such as customer service and form-processing work, with historically expensive software, which is not a recipe for widespread economic transformation.

McKinsey has estimated that generative AI could eventually add almost $8 trillion to the global economy every year

“Here, we can manufacture intelligence.”

Tony Kim, the head of technology investment at BlackRock, the world’s largest money manager, told me he believes that AI will trigger one of the most significant technological upheavals ever. “Prior industrial revolutions were never about intelligence,”

this future is not guaranteed. Many of the productivity gains expected from AI could be both greatly overestimated and very premature, Daron Acemoglu, an economist at MIT, has found

AI products’ key flaws, such as a tendency to invent false information, could make them unusable, or deployable only under strict human oversight, in certain settings—courts, hospitals, government agencies, schools

AI as a truly epoch-shifting technology, it may well be more akin to blockchain, a very expensive tool destined to fall short of promises to fundamentally transform society and the economy.

Researchers at Barclays recently calculated that tech companies are collectively paying for enough AI-computing infrastructure to eventually power 12,000 different ChatGPTs. Silicon Valley could very well produce a whole host of hit generative-AI products like ChatGPT, “but probably not 12,000 of them,

even if it did, there would be nowhere enough demand to use all those apps and actually turn a profit.

Some of the largest tech companies’ current spending on AI data centers will require roughly $600 billion of annual revenue to break even, of which they are currently about $500 billion short.

Tech proponents have responded to the criticism that the industry is spending too much, too fast, with something like religious dogma. “I don’t care” how much we spend, Altman has said. “I genuinely don’t.

the industry is asking the world to engage in something like a trillion-dollar tautology: AI’s world-transformative potential justifies spending any amount of resources, because its evangelists will spend any amount to make AI transform the world.

in the AI era in particular, a lack of clear evidence for a healthy return on investment may not even matter. Unlike the companies that went bust in the dot-com bubble in the early 2000s, Big Tech can spend exorbitant sums of money and be largely fine

perhaps even more important in Silicon Valley than a messianic belief in AI is a terrible fear of missing out. “In the tech industry, what drives part of this is nobody wants to be left behind. Nobody wants to be seen as lagging,

Go all in on AI, the thinking goes, or someone else will. Their actions evince “a sense of desperation,” Cahn writes. “If you do not move now, you will never get another chance.” Enormous sums of money are likely to continue flowing into AI for the foreseeable future, driven by a mix of unshakable confidence and all-consuming fear.

What is A.I. even for?

“A.I. slop”: often uncanny, frequently misleading material, now flooding web browsers and social-media platforms like spam in old inboxes. Years deep into national hysteria over the threat of internet misinformation pushed on us by bad actors, we’ve sleepwalked into a new internet in which meaningless, nonfactual slop is casually mass-produced and force-fed to us by A.I.

It has already helped drive down the cost and drive up the performance of next-gen batteries and solar photovoltaic cells, whose performance can also be improved, even after the panels have been manufactured and installed on your roof, by as much as 25 percent

while the internet was never perfectly trustworthy, one epoch-defining breakthrough of Google was that it got us pretty close. Now the company’s chief executive acknowledges that hallucinations are “inherent” to the technology it has celebrated as a kind of successor for ranked-order search results, which are now often found far below not just the A.I. summary but a whole stack of “sponsored” results as well.

Where not long ago we used to find the very best results for Google searches, we can now find instead potentially plagiarized and often inaccurate paragraph summaries of answers to our queries

Machine learning may help make our electricity grid as much as 40 percent more efficient at delivering power as it is today, when many of its routing decisions are made by individual humans on the basis of experience and intuition

This month, KoBold Metals announced the largest discovery of new copper deposits in a decade — a green-energy gold mine, so to speak, delivered with the help of its own proprietary A.I., which integrated information about subatomic particles detected underground with century-old mining reports and radar imagery to make predictions about where minerals critical for the green transition might be found.

.I. is designing new proteins, rapidly accelerating drug discovery and speeding up clinical trials testing new medicines and therapies.

perhaps that a more optimistic perspective can be drawn by analogy to what economists call the “environmental Kuznets curve,” which suggests that, as nations develop, they tend to first pollute a lot more and then, over time, as they grow richer, they ultimately pollute less.

Even in describing regular old pollution, this framework has its shortcomings, especially because it treats as automatic eventual progress that has always required tooth-and-nail fights against some very stubborn bad actors

A.I. is generating an awful lot of genuine pollution, too — both Google and Microsoft, which each pledged in 2019 to reach zero emissions by 2030, have instead expanded their carbon footprints by nearly 50 percent in the interim.

Freudian psychoanalysis offers yet another account. As Mr. Chopra’s summary has it: “Anxiety is a signal to us that we harbor repressed emotions, desires, and sexuality.”

Finally, there is the idea of “materialist alienation,” advocated by both Karl Marx and Herbert Marcuse. This theory identifies the sources of anxiety in the material and economic conditions of society rather than in the individual psyche:

Although Mr. Chopra, a philosophy professor emeritus at Brooklyn College, notes many overlaps and commonalities in the four approaches, their differences make them inconsistent as a set. It isn’t clear that they are centrally concerned with anxiety at all.

ukkha in Buddhism isn’t usually understood to refer to anxiety but rather to a state of discontent.

Mr. Chopra acknowledges that one of his key existentialist figures, Nietzsche, never uses the term. Alluding to Marx’s alienated labor, Mr. Chopra asks: “What does such alienation feel like?” His answer: “Like anxiety, for it is anxiety.

Mr. Chopra interprets everything through the lens of anxiety and as a result either magnifies its significance or sees it where it is not. He says, for example, that from his own experience he has concluded that being “indecisive, distracted, insecure, or anxious . . . amounted to the same thing.” But for many people those conditions are very different.

Mr. Chopra is a serial user of the “presumptive we”: using the first-person plural to speak for all of us when he is really speaking for some or sometimes only himself.

At times Mr. Chopra writes of anxiety as though it were a key to self-definition, saying, at one point “thus does anxiety inform me of who I am.” Tell me your anxieties and I’ll tell you who you are may sound profound, but replace “anxieties” with “dreams,” “loves,” “hopes” or “values” and it is just as true.

Even philosophy in Mr. Chopra’s view springs not from wonder, as Aristotle and Plato claimed, but from anxiety. However, neither those giants of thought nor others who followed them for centuries had much to say about it

That “anxiety is a basic human affect and signature of human consciousness” is made somewhat problematic, he concedes, by the fact that it only emerged as “an explicitly named and identified problem in the nineteenth century.”

Still, Mr. Chopra is right to want to normalize the anxiety that people really do feel, saying that it is wrong to think that mental health consists in being anxiety-free. His basic therapeutic advice—not to push anxiety away but “to see what it ‘points to’ ”—is also spot-on

his book is a good primer on the major philosophers of anxiety, or at least its close relations.

AIs like ChatGPT rapidly got better in their early days, but what we’ve seen in the past 14-and-a-half months are only incremental gains, says Marcus. “The truth is, the core capabilities of these systems have either reached a plateau, or at least have slowed down in their improvement,” he adds.

the gaps between the performance of various AI models are closing. All of the best proprietary AI models are converging on about the same scores on tests of their abilities, and even free, open-source models, like those from Meta and Mistral, are catching up.

AI could become a commodity

A mature technology is one where everyone knows how to build it. Absent profound breakthroughs—which become exceedingly rare—no one has an edge in performance

companies look for efficiencies, and whoever is winning shifts from who is in the lead to who can cut costs to the bone. The last major technology this happened with was electric vehicles, and now it appears to be happening to AI.

the future for AI startups—like OpenAI and Anthropic—could be dim.

Microsoft and Google will be able to entice enough users to make their AI investments worthwhile, doing so will require spending vast amounts of money over a long period of time, leaving even the best-funded AI startups—with their comparatively paltry warchests—unable to compete.

Many other AI startups, even well-funded ones, are apparently in talks to sell themselves.

That difference is alarming, but what really matters to the long-term health of the industry is how much it costs to run AIs. 

the bottom line is that for a popular service that relies on generative AI, the costs of running it far exceed the already eye-watering cost of training it.

Changing people’s mindsets and habits will be among the biggest barriers to swift adoption of AI. That is a remarkably consistent pattern across the rollout of all new technologies.

That’s because AI has to think anew every single time something is asked of it, and the resources that AI uses when it generates an answer are far larger than what it takes to, say, return a conventional search result

For an almost entirely ad-supported company like Google, which is now offering AI-generated summaries across billions of search results, analysts believe delivering AI answers on those searches will eat into the company’s margins

Google, Microsoft and others said their revenue from cloud services went up, which they attributed in part to those services powering other company’s AIs. But sustaining that revenue depends on other companies and startups getting enough value out of AI to justify continuing to fork over billions of dollars to train and run those systems

three in four white-collar workers now use AI at work. Another survey, from corporate expense-management and tracking company Ramp, shows about a third of companies pay for at least one AI tool, up from 21% a year ago.

OpenAI doesn’t disclose its annual revenue, but the Financial Times reported in December that it was at least $2 billion, and that the company thought it could double that amount by 2025. 

That is still a far cry from the revenue needed to justify OpenAI’s now nearly $90 billion valuation

the company excels at generating interest and attention, but it’s unclear how many of those users will stick around. 

AI isn’t nearly the productivity booster it has been touted as

While these systems can help some people do their jobs, they can’t actually replace them. This means they are unlikely to help companies save on payroll. He compares it to the way that self-driving trucks have been slow to arrive, in part because it turns out that driving a truck is just one part of a truck driver’s job.

Add in the myriad challenges of using AI at work. For example, AIs still make up fake information,

getting the most out of open-ended chatbots isn’t intuitive, and workers will need significant training and time to adjust.

the industry spent $50 billion on chips from Nvidia to train AI in 2023, but brought in only $3 billion in revenue.

None of this is to say that today’s AI won’t, in the long run, transform all sorts of jobs and industries. The problem is that the current level of investment—in startups and by big companies—seems to be predicated on the idea that AI is going to get so much better, so fast, and be adopted so quickly that its impact on our lives and the economy is hard to comprehend. 

Mounting evidence suggests that won’t be the case.

Still others believe that the advent of civil rights laws created, in essence, a second Constitution entirely, one that privileges group identity over individual liberty.

Protestant Christian nationalists tend to have a higher regard for the American founding, but they believe it’s been corrupted. They claim that the 1787 Constitution is essentially dead, replaced by progressive power politics that have destroyed constitutional government.

Catholic post-liberals believe that liberal democracy itself is problematic. According to their critique, the Constitution’s emphasis on individual liberty “atomizes” American life and degrades the traditional institutions of church and family that sustain human flourishing.

The original Constitution and Bill of Rights, while a tremendous advance from the Articles of Confederation, suffered from a singular, near-fatal flaw. They protected Americans from federal tyranny, but they also left states free to oppress American citizens in the most horrific ways

if your ultimate aim is the destruction of your political enemies, then the Constitution does indeed stand in your way.

Right-wing constitutional critics do get one thing right: The 1787 Constitution is mostly gone, and America’s constitutional structure is substantially different from the way it was at the founding. But that’s a good thing

its guardrails against tyranny remain vital and relevant today.

Individual states ratified their own constitutions that often purported to protect individual liberty, at least for some citizens, but states were also often violently repressive and fundamentally authoritarian.

The criminal justice system could be its own special form of hell. Indigent criminal defendants lacked lawyers, prison conditions were often brutal at a level that would shock the modern conscience, and local law enforcement officers had no real constitutional constraints on their ability to search American citizens and seize their property.

Through much of American history, various American states protected slavery, enforced Jim Crow, suppressed voting rights, blocked free speech, and established state churches.

As a result, if you were traditionally part of the local ruling class — a white Protestant in the South, like me — you experienced much of American history as a kind of golden era of power and control.

The Civil War Amendments changed everything. The combination of the 13th, 14th, and 15th Amendments ended slavery once and for all, extended the reach of the Bill of Rights to protect against government actions at every level, and expanded voting rights.

But all of this took time. The end of Reconstruction and the South’s “massive resistance” to desegregation delayed the quest for justice.

decades of litigation, activism and political reform have yielded a reality in which contemporary Americans enjoy greater protection for the most fundamental civil liberties than any generation that came before.

And those who believe that the civil rights movement impaired individual liberty have to reckon with the truth that Americans enjoy greater freedom from both discrimination and censorship than they did before the movement began.

So why are parts of the right so discontent? The answer lies in the difference between power and liberty

One of the most important stories of the last century — from the moment the Supreme Court applied the First Amendment to state power in 1925, until the present day — is the way in which white Protestants lost power but gained liberty. Many millions are unhappy with the exchange.

Consider the state of the law a century ago. Until the expansion of the Bill of Rights (called “incorporation”) to apply to the states, if you controlled your state and wanted to destroy your enemies, you could oppress them to a remarkable degree. You could deprive them of free speech, you could deprive them of due process, you could force them to pray and read state-approved versions of the Bible.

The argument that the Constitution is failing is just as mistaken as the argument that the economy is failing, but it’s politically and culturally more dangerous

Powerful people often experience their power as a kind of freedom. A king can feel perfectly free to do what he wants, for example, but that’s not the same thing as liberty.

Looked at properly, liberty is the doctrine that defies power. It’s liberty that enables us to exercise our rights.

Think of the difference between power and liberty like this — power gives the powerful freedom of action. Liberty, by contrast, protects your freedom of action from the powerful.

At their core, right-wing attacks on the modern Constitution are an attack on liberty for the sake of power.

An entire class of Americans looks back at decades past and has no memory (or pretends to have no memory) of marginalization and oppression. They could do what they wanted, when they wanted and to whom they wanted.

Now they don’t have that same control

Muslims, Sikhs, Jews, Buddhists and atheists all approach the public square with the same liberties. Drag queens have the same free speech rights as pastors, and many Americans are livid as a result.

when a movement starts to believe that America is in a state of economic crisis, criminal chaos and constitutional collapse, then you can start to see the seeds for revolutionary violence and profound political instability. They believe we live in desperate times, and they turn to desperate measures.

“You shall know the truth, and the truth shall set you free.” So much American angst and anger right now is rooted in falsehoods. But the truth can indeed set us free from the rage that tempts American hearts toward tyranny.