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But the federal rules do not dictate how poor a patient needs to be to qualify for free care

In exchange, the Internal Revenue Service requires Allina and thousands of other nonprofit hospital systems to benefit their local communities, including by providing free or reduced-cost care to patients with low incomes.

In 2020, thanks to its nonprofit status, Allina avoided roughly $266 million in state, local and federal taxes, according to the Lown Institute, a think tank that studies health care.

Doctors and patients described being unable to complete medical forms that children needed to enroll in day care or show proof of vaccination for school.

Allina is one of Minnesota’s largest health systems, having largely grown through acquisitions. Since 2013, its annual profits have ranged from $30 million to $380 million. Last year was the first in the past decade when it lost money, largely owing to investment losses.

The financial success has paid dividends. Allina’s president earned $3.5 million in 2021, the most recent year for which data is available. The health system recently built a $12 million conference center.

Allina sometimes plays hardball with patients. Doctors have become accustomed to seeing messages in the electronic medical record notifying them that a patient “will no longer be eligible to receive care” because of “unpaid medical balances.”

In 2020, Allina spent less than half of 1 percent of its expenses on charity care, well below the nationwide average of about 2 percent for nonprofit hospitals

Serena Gragert, who worked as a scheduler at an Allina clinic in Minneapolis until 2021, said the computer system simply wouldn’t let her book future appointments for some patients with outstanding balances.

Ms. Gragert and other Allina employees said some of the patients who were kicked out had incomes low enough to qualify for Medicaid, the federal-state insurance program for poor people. That also means those patients would be eligible for free care under Allina’s own financial assistance policy — something many patients are unaware exists when they seek treatment.

Allina says the policy applies only to debts related to care provided by its clinics, not its hospitals. But patients said in interviews that they got cut off after falling into debt for services they received at Allina’s hospitals.

Jennifer Blaido lives in Isanti, a small town outside Minneapolis, and Allina owns the only hospital there. Ms. Blaido, a mechanic, said she racked up nearly $200,000 in bills from a two-week stay at Allina’s Mercy Hospital in 2009 for complications from pneumonia, along with several visits to the emergency department for asthma flare-ups

Ms. Blaido, a mother of four, said most of the hospital stay was not covered by her health insurance and she was unable to scrounge together enough money to make a dent in the debt.

Last year, Ms. Blaido had a cancer scare and said she couldn’t get an appointment with a doctor at Mercy Hospital. She had to drive more than an hour to get examined at a health system unconnected to Allina

In court filings, the couple described how Allina canceled Ms. Anderson’s appointments and told her that she could not book new ones until she had set up three separate payment plans — one with the health system and two with its debt collectors.Even after setting up those payment plans, which totaled $580 a month, the canceled appointments were never restored. Allina allows patients to come back only after they have paid the entire debt.

When the Andersons asked in court for a copy of Allina’s policy of barring patients with unpaid bills, the hospital’s lawyers responded: “Allina does not have a written policy regarding the canceling of services or termination of scheduled and/or physician referral services or appointments for unpaid debts.”In fact, Allina’s policy, which was created in 2006, instructs employees on how to do exactly that. Among other things, it tells staff to “cancel any future appointments the patient has scheduled at any clinic.”

It does provide a few ways for patients to continue being seen despite their unpaid bills. One is by getting approved for a loan through the hospital. Another is by filing for bankruptcy.

What began as a revolutionary set of technologies ended up concentrating enormous private power over key services and locking in business models that come at extraordinary cost to our privacy and security.

The trajectory of the Web 2.0 era was not inevitable — it was instead shaped by a broad range of policy choices. And we now face another moment of choice. As the use of A.I. becomes more widespread, public officials have a responsibility to ensure this hard-learned history doesn’t repeat itself.

the Federal Trade Commission is taking a close look at how we can best achieve our dual mandate to promote fair competition and to protect Americans from unfair or deceptive practices.

we already can see several risks. The expanding adoption of A.I. risks further locking in the market dominance of large incumbent technology firms. A handful of powerful businesses control the necessary raw materials that start-ups and other companies rely on to develop and deploy A.I. tools. This includes cloud services and computing power, as well as vast stores of data.

Enforcers have the dual responsibility of watching out for the dangers posed by new A.I. technologies while promoting the fair competition needed to ensure the market for these technologies develops lawfully.

generative A.I. risks turbocharging fraud. It may not be ready to replace professional writers, but it can already do a vastly better job of crafting a seemingly authentic message than your average con artist — equipping scammers to generate content quickly and cheaply.

bots are even being instructed to use words or phrases targeted at specific groups and communities. Scammers, for example, can draft highly targeted spear-phishing emails based on individual users’ social media posts. Alongside tools that create deep fake videos and voice clones, these technologies can be used to facilitate fraud and extortion on a massive scale.

we will look not just at the fly-by-night scammers deploying these tools but also at the upstream firms that are enabling them.

these A.I. tools are being trained on huge troves of data in ways that are largely unchecked. Because they may be fed information riddled with errors and bias, these technologies risk automating discrimination

We once again find ourselves at a key decision point. Can we continue to be the home of world-leading technology without accepting race-to-the-bottom business models and monopolistic control that locks out higher quality products or the next big idea? Yes — if we make the right policy choices.

economist J. Bradford DeLong ’82, Ph.D. ’87, looking back on the twentieth century two decades after its end, comes to a similar conclusion but on different grounds.

DeLong, professor of economics at Berkeley, looks to matters of “contingency” and “choice”: at key junctures the economy suffered “bad luck,” and the actions taken by the responsible policymakers were “incompetent.”

these were “the most consequential years of all humanity’s centuries.” The changes they saw, while in the first instance economic, also “shaped and transformed nearly everything sociological, political, and cultural.”

DeLong’s look back over the twentieth century energetically encompasses political and social trends as well; nor is his scope limited to the United States. The result is a work of strikingly expansive breadth and scope

labeling the book an economic history fails to convey its sweeping frame.

The century that is DeLong’s focus is what he calls the “long twentieth century,” running from just after the Civil War to the end of the 2000s when a series of events, including the biggest financial crisis since the 1930s followed by likewise the most severe business downturn, finally rendered the advanced Western economies “unable to resume economic growth at anything near the average pace that had been the rule since 1870.

d behind those missteps in policy stood not just failures of economic thinking but a voting public that reacted perversely, even if understandably, to the frustrations poor economic outcomes had brought them.

Within this 140-year span, DeLong identifies two eras of “El Dorado” economic growth, each facilitated by expanding globalization, and each driven by rapid advances in technology and changes in business organization for applying technology to economic ends

from 1870 to World War I, and again from World War II to 197

fellow economist Robert J. Gordon ’62, who in his monumental treatise on The Rise and Fall of American Economic Growth (reviewed in “How America Grew,” May-June 2016, page 68) hailed 1870-1970 as a “special century” in this regard (interrupted midway by the disaster of the 1930s).

Gordon highlighted the role of a cluster of once-for-all-time technological advances—the steam engine, railroads, electrification, the internal combustion engine, radio and television, powered flight

Pessimistic that future technological advances (most obviously, the computer and electronics revolutions) will generate productivity gains to match those of the special century, Gordon therefore saw little prospect of a return to the rapid growth of those halcyon days.

DeLong instead points to a series of noneconomic (and non-technological) events that slowed growth, followed by a perverse turn in economic policy triggered in part by public frustration: In 1973 the OPEC cartel tripled the price of oil, and then quadrupled it yet again six years later.

For all too many Americans (and citizens of other countries too), the combination of high inflation and sluggish growth meant that “social democracy was no longer delivering the rapid progress toward utopia that it had delivered in the first post-World War II generation.”

Frustration over these and other ills in turn spawned what DeLong calls the “neoliberal turn” in public attitudes and economic policy. The new economic policies introduced under this rubric “did not end the slowdown in productivity growth but reinforced it.

the tax and regulatory changes enacted in this new climate channeled most of what economic gains there were to people already at the top of the income scale

Meanwhile, progressive “inclusion” of women and African Americans in the economy (and in American society more broadly) meant that middle- and lower-income white men saw even smaller gains—and, perversely, reacted by providing still greater support for policies like tax cuts for those with far higher incomes than their own.

Daniel Bell’s argument in his 1976 classic The Cultural Contradictions of Capitalism. Bell famously suggested that the very success of a capitalist economy would eventually undermine a society’s commitment to the values and institutions that made capitalism possible in the first plac

In DeLong’s view, the “greatest cause” of the neoliberal turn was “the extraordinary pace of rising prosperity during the Thirty Glorious Years, which raised the bar that a political-economic order had to surpass in order to generate broad acceptance.” At the same time, “the fading memory of the Great Depression led to the fading of the belief, or rather recognition, by the middle class that they, as well as the working class, needed social insurance.”

what the economy delivered to “hard-working white men” no longer matched what they saw as their just deserts: in their eyes, “the rich got richer, the unworthy and minority poor got handouts.”

As Bell would have put it, the politics of entitlement, bred by years of economic success that so many people had come to take for granted, squeezed out the politics of opportunity and ambition, giving rise to the politics of resentment.

The new era therefore became “a time to question the bourgeois virtues of hard, regular work and thrift in pursuit of material abundance.”

DeLong’s unspoken agenda would surely include rolling back many of the changes made in the U.S. tax code over the past half-century, as well as reinvigorating antitrust policy to blunt the dominance, and therefore outsize profits, of the mega-firms that now tower over key sectors of the economy

He would also surely reverse the recent trend moving away from free trade. Central bankers should certainly behave like Paul Volcker (appointed by President Carter), whose decisive action finally broke the 1970s inflation even at considerable economic cost

Not only Galbraith’s main themes but many of his more specific observations as well seem as pertinent, and important, today as they did then.

What will future readers of Slouching Towards Utopia conclude?

If anything, DeLong’s narratives will become more valuable as those events fade into the past. Alas, his description of fascism as having at its center “a contempt for limits, especially those implied by reason-based arguments; a belief that reality could be altered by the will; and an exaltation of the violent assertion of that will as the ultimate argument” will likely strike a nerve with many Americans not just today but in years to come.

what about DeLong’s core explanation of what went wrong in the latter third of his, and our, “long century”? I predict that it too will still look right, and important.

these catastrophising billionaires are the presumptive winners of the digital economy – the supposed champions of the survival-of-the-fittest business landscape that’s fuelling most of this speculation to begin with.

What I came to realise was that these men are actually the losers. The billionaires who called me out to the desert to evaluate their bunker strategies are not the victors of the economic game so much as the victims of its perversely limited rules. More than anything, they have succumbed to a mindset where “winning” means earning enough money to insulate themselves from the damage they are creating by earning money in that way.

Never before have our society’s most powerful players assumed that the primary impact of their own conquests would be to render the world itself unliveable for everyone else

Nor have they ever before had the technologies through which to programme their sensibilities into the very fabric of our society. The landscape is alive with algorithms and intelligences actively encouraging these selfish and isolationist outlooks. Those sociopathic enough to embrace them are rewarded with cash and control over the rest of us. It’s a self-reinforcing feedback loop. This is new.

So far, JC Cole has been unable to convince anyone to invest in American Heritage Farms. That doesn’t mean no one is investing in such schemes. It’s just that the ones that attract more attention and cash don’t generally have these cooperative components. They’re more for people who want to go it alone

C is no hippy environmentalist but his business model is based in the same communitarian spirit I tried to convey to the billionaires: the way to keep the hungry hordes from storming the gates is by getting them food security now. So for $3m, investors not only get a maximum security compound in which to ride out the coming plague, solar storm, or electric grid collapse. They also get a stake in a potentially profitable network of local farm franchises that could reduce the probability of a catastrophic event in the first place. His business would do its best to ensure there are as few hungry children at the gate as possible when the time comes to lock down.

Most billionaire preppers don’t want to have to learn to get along with a community of farmers or, worse, spend their winnings funding a national food resilience programme. The mindset that requires safe havens is less concerned with preventing moral dilemmas than simply keeping them out of sight.

Rising S Company in Texas builds and installs bunkers and tornado shelters for as little as $40,000 for an 8ft by 12ft emergency hideout all the way up to the $8.3m luxury series “Aristocrat”, complete with pool and bowling lane. The enterprise originally catered to families seeking temporary storm shelters, before it went into the long-term apocalypse business. The company logo, complete with three crucifixes, suggests their services are geared more toward Christian evangelist preppers in red-state America than billionaire tech bros playing out sci-fi scenarios.

Ultra-elite shelters such as the Oppidum in the Czech Republic claim to cater to the billionaire class, and pay more attention to the long-term psychological health of residents. They provide imitation of natural light, such as a pool with a simulated sunlit garden area, a wine vault, and other amenities to make the wealthy feel at home.

On closer analysis, however, the probability of a fortified bunker actually protecting its occupants from the reality of, well, reality, is very slim. For one, the closed ecosystems of underground facilities are preposterously brittle. For example, an indoor, sealed hydroponic garden is vulnerable to contamination. Vertical farms with moisture sensors and computer-controlled irrigation systems look great in business plans and on the rooftops of Bay Area startups; when a palette of topsoil or a row of crops goes wrong, it can simply be pulled and replaced. The hermetically sealed apocalypse “grow room” doesn’t allow for such do-overs.

while a private island may be a good place to wait out a temporary plague, turning it into a self-sufficient, defensible ocean fortress is harder than it sounds. Small islands are utterly dependent on air and sea deliveries for basic staples. Solar panels and water filtration equipment need to be replaced and serviced at regular intervals. The billionaires who reside in such locales are more, not less, dependent on complex supply chains than those of us embedded in industrial civilisation.

If they wanted to test their bunker plans, they’d have hired a security expert from Blackwater or the Pentagon. They seemed to want something more. Their language went far beyond questions of disaster preparedness and verged on politics and philosophy: words such as individuality, sovereignty, governance and autonomy.

it wasn’t their actual bunker strategies I had been brought out to evaluate so much as the philosophy and mathematics they were using to justify their commitment to escape. They were working out what I’ve come to call the insulation equation: could they earn enough money to insulate themselves from the reality they were creating by earning money in this way? Was there any valid justification for striving to be so successful that they could simply leave the rest of us behind –apocalypse or not?

“It is genius for the current consumer culture,” Christine Whelan, a clinical professor of consumer science at the University of Wisconsin at Madison, told me. “It encourages and then meets the need for the thing, so we then continue on the hedonic treadmill: Buy the latest thing we want and then have it delivered immediately and then buy the next latest thing.”

With traditional retail, “there’s the friction of having to go to the store, there’s the friction of will the store have it, there’s the friction of carrying it,” Whelan said. “There’s the friction of having to admit to another human being that you’re buying it. And when you remove the friction, you also remove a lot of individual self-control. The more you are in the ecosystem and the easier it is to make a purchase, the easier it is to say yes to your desire rather than no.”

“It used to be that being a consumer was all about choice,”

But now, “two-thirds of people start their product searches on Amazon.

Prime discourages comparison shopping—looking around is pointless when everything you need is right here—even as Amazon’s sheer breadth of products makes shoppers feel as if they have agency.

“Consumerism has become a key way that people have misidentified freedom,”

what Amazon represents is a corporate infrastructure that is increasingly directed at getting as many consumers as possible locked into a consumerist process—an Amazon consumer for life.”

Amazon offers steep discounts to college students and new parents, two groups that are highly likely to change their buying behavior. It keeps adding more discounts and goodies to the Prime bundle, making subscribing ever more appealing. And, in an especially sinister move, it makes quitting Prime maddeningly difficult.

the United States now has more Prime memberships than households. In 2020,

In 2019, Amazon shaved a full day off its delivery time, making one-day shipping the default, and also making Prime an even more tantalizing proposition: Why hop in the car for anything at all when you could get it delivered tomorrow, for free?

As subscription numbers grew through the 2010s, the revenue from them helped Amazon pump more money into building fulfillment centers (to get products to people even faster), acquiring new businesses (to control even more of the global economy), and adding more perks to the bundle (to encourage more people to sign up)

“Every decision we make is based upon the fact that Amazon can get these books cheaper and faster. The prevailing expectation is you can get anything online shipped for”— he scrunched his fingers into air quotes—“‘free,’ in one or two days. And there’s really only one company that can do that. They do that because they’re willing to push and exploit their workers.”

Thanks in large part to the revenue from Prime subscriptions and from the things subscribers buy, Amazon’s value has multiplied roughly 97 times, to $1.76 trillion, since the service was introduced. Amazon is the second-largest private employer in the United States, after Walmart, and it is responsible for roughly 40 percent of all e-commerce in the United States.

It controls hundreds of millions of square feet across the country and is opening more fulfillment centers all the time. It has acquired dozens of other companies, most recently the film studio MGM for $8.5 billion. Its cloud-computing operation, Amazon Web Services, is the largest of its kind and provides the plumbing for a vast swath of the internet, to a profit of $13.5 billion last year.

Amazon has entered some 40 million American homes in the form of the Alexa smart speaker, and some 150 million American pockets in the form of the Amazon app

“Amazon is a beast we’ve never seen before,” Alimahomed-Wilson told me. “Amazon powers our Zoom calls. It contracts with ICE. It’s in our neighborhoods. This is a very different thing than just being a large retailer, like Walmart or the Ford Motor Company.”

I find it useful to compare Big Tech to climate change, another force that is altering the destiny of everyone on Earth, forever. Both present themselves to us all the time in small ways—a creepy ad here, an uncommonly warm November there—but are so big, so abstract, so everywhere that they’re impossible for any one person to really understand

Both are the result of a decades-long, very human addiction to consumption and convenience that has been made grotesque and extreme by the incentives and mechanisms of the internet, market consolidation, and economic stratification

Both have primarily been advanced by a small handful of very big companies that are invested in making their machinations unseeable to the naked eye.

Speed and convenience aren’t actually free; they never are. Free shipping isn’t free either. It just obscures the real price.

Next-day shipping comes with tremendous costs: for labor and logistics and transportation and storage; for the people who pack your stuff into those smiling boxes and for the people who deliver them; for the planes and trucks and vans that carry them; for the warehouses that store them; for the software ensuring that everything really does get to your door on time, for air-conditioning and gas and cardboard and steel. Amazon—Prime in particular—has done a superlative job of making all those costs, all those moving parts, all those externalities invisible to the consumer.

The pandemic drove up demand for Amazon, and for labor: Last year, company profits shot up 70 percent, Bezos’s personal wealth grew by $70 billion, and 1,400 people a day joined the company’s workforce.

Amazon is so big that every sector of our economy has bent to respond to the new way of consuming that it invented. Prime isn’t just bad for Amazon’s workers—it’s bad for Target’s, and Walmart’s. It’s bad for the people behind the counter at your neighborhood hardware store and bookstore, if your neighborhood still has a hardware store and a bookstore. Amazon has accustomed shoppers to a pace and manner of buying that depends on a miracle of precision logistics even when it’s managed by one of the biggest companies on Earth. For the smaller guys, it’s downright impossible.

Amazon’s revenue from subscriptions alone—mostly Prime—was $25.2 billion, which is a 31 percent increase from the previous year

Just as abstaining from flying for moral reasons won’t stop sea-level rise, one person canceling Prime won’t do much of anything to a multinational corporation’s bottom line. “It’s statistically insignificant to Amazon. They’ll never feel it,” Caine told me. But, he said, “the small businesses in your neighborhood will absolutely feel the addition of a new customer. Individual choices do make a big difference to them.”

Whelan teaches a class at UW called Consuming Happiness, and she is fond of giving her students the adage that you can buy happiness—“if you spend your money in keeping with your values: spending prosocially, on experiences. Tons of research shows us this.”

the authors argue that the first job of a strategic leader is to get the big ideas right. Those who have succeeded include Gerald Templer, who became Britain’s high commissioner for Malaya in 1952 and whose reference to winning “the hearts and minds of the people,”

“remains the most succinct explanation for how to win a counter-insurgency.”

By contrast, the nationalist forces in China, the French in Algeria and the Americans in Vietnam got the big ideas wrong and paid a steep price.

On the 2021 collapse of Afghanistan’s government troops, who had been so expensively trained and equipped under Presidents Bush, Obama, Trump and Biden, Mr. Petraeus remarks that “the troops were brave enough—the 66,000 dead Afghan soldiers killed during the war attest to that. But they fought for an often corrupt and incompetent government that never gained the trust and confidence of local communities, which had historically determined the balance of power within Afghanistan.”

Russia’s invasion of Ukraine in 2022 serves as the book’s case study on how badly Goliath can stumble against David

Elon Musk’s control of the Starlink satellite internet system, they note, gave him a unique veto power over Ukrainian operations in Crimea. “With individual tycoons such as Elon Musk, Mark Zuckerberg and Jeff Bezos wielding such extraordinary power,” the authors tell us, “wars of the future will have to take their influence into account.”

The final chapter teases out the contours of future conflicts. Artificial intelligence, strategic mineral monopolies and “hybrid wars”—where weapons include deepfake disinformation, political manipulation, proxy forces and cyberattacks—cap an incisive look at the next phase of warfare. “Hybrid warfare particularly appeals to China and Russia, since they are much more able to control the information their populaces receive than are their Western adversaries,”

. And with the line between limited and total wars growing fuzzier every year, the combatant of the next war might be a woman sitting at a drone desk, a computer geek hacking into a power grid or a robotics designer refining directed-energy weapons systems.

“Conflict” is, in some ways, an extension of Mr. Roberts’s thesis in “The Storm of War” (2009)—that dictatorships tend to crack under the stress of a sustained war against popular democracies. While autocracies enjoy some advantages at war’s outset—they are nimble and can achieve true strategic surprise, for instance—if the sucker punch doesn’t end the fight quickly, democracies, shocked into action, may bring to bear more motivated, more efficient and often larger forces to turn the tide.

Both men see modern military history as a succession of partnerships created to counter violent challenges from nationalists, terrorists and dictators.

The economist Thomas Malthus, now dismissed by mainstream economics as an interesting crank, is resurrected by Galor as the man who correctly saw that for millennia humanity had been trapped by its own fertility into subsistence, starvation and famine. As soon as material matters improved, the birthrate went up, so did the population, and the pressure on food resources exploded – returning humanity to starvation

great sections of Galor’s book are to be applauded

What broke the Malthusian armlock on humanity’s destiny, argues Galor, is the gradual quickening in the introduction of technologies that required mass education for their successful implementation. This triggered a virtuous circle of more innovation, more investment in education, more need to invest in the quality of children rather than quantity, so that birthrates declined sufficiently to allow living standards and life expectancy to rise. Because it was now rational to invest in children’s education rather than get them working, child labour and exploitation fell away

Above all he shows how cultural attitudes persist long after whatever concatenation of events brought them into being, so that countries and cultures that get ahead tend to stay ahead

He is scathing about the shock programmes of market liberalisation that accompanied the “Washington consensus”, ignorant of these persistent traits. Effective market economies can’t be built spontaneously in cultures that are hostile to the very conception.

his optimism about humanity shines through – prize its diversity, commit to educate its children and they will find their way to innovate and create a culture of growth

It’s a great way to look at the world, but a healthy recognition that power, capitalism, finance, the existence and structure of states and public philosophies – some right, some wrong – are all part of the brew would have made his account more realistic

Whichever way you cut it, global warming is already happening too fast to generously support life, which our prior climate did quite well. As a feebly supportive climate devolves into an unsupportive one, it won’t matter who forecasted the timing right, only that we missed our chance at the good version of Earth.

The scientist James Hansen, famous for his early warnings about climate change, suggested in a paper released last week with a suite of high-level colleagues that warming is accelerating more rapidly than is presently understood: In their view, that the Earth could exceed 1.5 degrees of warming this decade is practically assured, and 2 degrees by 2050 is likely unless the world eliminates fossil-fuel use far faster than planned.

One expert who worked on the UN report called this “insanity,” a “climate disaster of our own making.” The climate math is not adding up.

the loss of much of West Antarctica’s ice sheet is now virtually inevitable. Even if future emissions are drastically curtailed, enough warming is probably locked in to wash the bulk of the sheet away. At best, she says, we are on the brink of its total loss becoming assured

by one estimate, the West Antarctic ice sheet contains enough water to raise sea level globally by just over five meters, or 17 feet. At the very least, Naughten told me, she thinks it would be wise to plan for two to three meters of sea-level rise, or six to ten feet, in the next couple of centuries

I shudder to think what would happen if everyone living within two meters of sea level would be displaced,” she added. That “everyone” is projected to include some 410 million by 2100.

Previous studies have warned of the ice sheet’s collapse if emissions were not drawn down; hers now suggests that we’ve passed the point of no return, that even significant emissions cuts would be too late for this particular ice sheet. (The East Antarctic ice sheet, she said, is far more stable—and good thing, because it contains enough frozen water for 10 times the amount of sea-level rise as its western counterpart.

France, Ireland, Kenya, Spain, and 12 other countries have called for a global accord to phase out fossil-fuel production. There is little doubt that this is necessary; adding more fossil fuels to the pipeline is quite obviously counterproductive to slowing, then stopping, climate change.

Yet in the U.S. alone, a country responsible for at least 20 percent of historical emissions, the current buildout of liquified-natural-gas infrastructure, intended to export the country’s plentiful gas, is the largest fossil-fuel expansion proposed in the world—and it’s happening under a president who recently passed the most impactful climate legislation the country has ever seen

China, which is responsible for about 12 percent of historical emissions according to Alex Wang, who studies Chinese environmental governance at UCLA, has one of the largest clean-power programs in the world. But the country is at the same time dramatically expanding its coal production.

the difference between the world we have and the one we could have is buried in two contrasting modeling reports by two of the world’s most important energy-information organizations.

Whereas the International Energy Agency projected that we’d hit peak fossil-fuel use in 2030, the U.S. Energy Information Administration came to a very different conclusion: It saw demand for fossil fuels rising through at least 2050

If a policy is set to expire, the U.S. EIA treats it as expiring. It doesn’t take into account policies that countries have talked about but have had yet to implement. The international agency’s analysis, in contrast, assumes countries will follow through with more climate-friendly policies and renew the ones they already have on the books. “Look how different things could be,” Bowman said. The difference is night and day, despair and hope.

Policy, and only policy, appears to make that difference. It represents the choices that our leaders make about when to finally change course.

“climate is a spectrum; it isn’t an on/off switch.” Whenever we do make a different set of decisions, ones that make the math properly compute, we will be saving what we have left, preventing some layer of livability from being irrecoverably sloughed off and swept away.

Part of the enthusiasm behind the sky-high valuation of Tesla, where he is chief executive, comes from his predictions for the auto company’s abilities to develop humanoid robots—dubbed Optimus—that can be deployed for everything from personal assistants to factory workers. He’s also founded an AI startup, dubbed xAI, that he said aims to develop its own superhuman intelligence, even as some are skeptical of that possibility. 

Musk likes to point to another work of Sci-Fi to describe how AI could change our world: a series of books by the late-, self-described-socialist author Iain Banks that revolve around a post-scarcity society that includes superintelligent AI. 

That is the question.

“We’re actually going to have—and already do have—a massive shortage of labor. So, I think we will have not people out of work but actually still a shortage of labor—even in the future.” 

Musk has cast his work to develop humanoid robots as an attempt to solve labor issues, saying there aren’t enough workers and cautioning that low birthrates will be even more problematic. 

Instead, Musk predicts robots will be taking jobs that are uncomfortable, dangerous or tedious. 

A few years ago, Musk declared himself a socialist of sorts. “Just not the kind that shifts resources from most productive to least productive, pretending to do good, while actually causing harm,” he tweeted. “True socialism seeks greatest good for all.”

“It’s fun to cook food but it’s not that fun to wash the dishes,” Musk said this month. “The computer is perfectly happy to wash the dishes.”

In the near term, Goldman Sachs in April estimated generative AI could boost the global gross domestic product by 7% during the next decade and that roughly two-thirds of U.S. occupations could be partially automated by AI. 

Vinod Khosla, a prominent venture capitalist whose firm has invested in the technology, predicted within a decade AI will be able to do “80% of 80%” of all jobs today.

“I believe the need to work in society will disappear in 25 years for those countries that adapt these technologies,” Khosla said. “I do think there’s room for universal basic income assuring a minimum standard and people will be able to work on the things they want to work on.” 

Forget universal basic income. In Musk’s world, he foresees something more lush, where most things will be abundant except unique pieces of art and real estate. 

“We won’t have universal basic income, we’ll have universal high income,” Musk said this month. “In some sense, it’ll be somewhat of a leveler or an equalizer because, really, I think everyone will have access to this magic genie.” 

All of which kind of sounds a lot like socialism—except it’s unclear who controls the resources in this Muskism society

“Digital super intelligence combined with robotics will essentially make goods and services close to free in the long term,” Musk said

“What is an economy? An economy is GDP per capita times capita.” Musk said at a tech conference in France this year. “Now what happens if you don’t actually have a limit on capita—if you have an unlimited number of…people or robots? It’s not clear what meaning an economy has at that point because you have an unlimited economy effectively.”

In theory, humanity would be freed up for other pursuits. But what? Baby making. Bespoke cooking. Competitive human-ing. 

“Obviously a machine can go faster than any human but we still have humans race against each other,” Musk said. “We still enjoy competing against other humans to, at least, see who was the best human.”

Still, even as Musk talks about this future, he seems to be grappling with what it might actually mean in practice and how it is at odds with his own life. 

“If I think about it too hard, it, frankly, can be dispiriting and demotivating, because…I put a lot of blood, sweat and tears into building companies,” he said earlier this year. “If I’m sacrificing time with friends and family that I would prefer but then ultimately the AI can do all these things, does that make sense?”“To some extent,” Musk concluded, “I have to have a deliberate suspension of disbelief in order to remain motivated.”

The economy that Hickel envisions would cease to pursue growth, green or otherwise. Materials and energy will still be consumed, and waste generated, but at much lower levels. All impacts on the natural world will be tethered to the question, “Growth for whom, and to what ends?” In place of an individualistic consumer economy, Hickel’s post-growth economy would direct itself toward the creation of public goods that allow the many to live well—mass transit, health care—rather than to keep a few in luxury.

A growing body of research reveals an inverse relationship between “happiness” and growth beyond a certain point.

In the rich countries, general contentment peaked in 1950, when GDP and real per capita incomes were fractions of their present size (and inequality near modern historic lows); degrowthers posit that similar happiness levels will be reclaimed on the way back down the economic mountain

Hickel describes a post-growth economy defined by stability and equality, and the freedom and leisure possible when the economy is no longer subservient to the god of growth

He estimates that the U.S. economy could be scaled down by as much as 65 percent while still improving the lives of its citizens. This includes the metric most often tied to celebrations of endless growth: life expectancy.

degrowth will entail a steep reduction across a much wider range of high-energy consumer goods. Keeping a global economy within safe ecological limits is a zero-sum game.

When limited resources are directed toward clean energy infrastructure, public health care, and regenerative agriculture, it will still be possible to build and power modern 24-hour hospitals in every city, but not to have Xbox consoles, two-car garages, and giant appliances in every home.

would have to redefine it, too.

The post-growth economy could not succeed solely by redistributing wealth; it would have to redefine it, too.

He argues that short-term growth would have to continue in those countries that have still not achieved the basic levels of sanitation, infrastructure, and education needed for a decent standard of living, to close the gap. Their larger goal, meanwhile, would be to break free from their historical role as a source of natural resources and cheap labor for the north.

For degrowth to be just, global, and effective, the sharpest reduction in consumption will have to come from the north, where the greatest damage to the planet is currently being done

Ecological economists generally agree that the safe outer limit is eight tons

One person in a low-income country has a materials footprint of roughly two tons per year, a measure of total raw materials consumed, including those embodied in imports. In lower-middle–income countries, that number is four tons; in upper-middle–income countries, 12 tons. In the high-income nations of North America, Europe, and Asia, the number leaps to 28

The wealthiest 20 percent of the human population is responsible for 90 percent of “overshoot” carbon in the atmosphere (that is, a level of carbon that exceeds the limit needed to keep global temperature rise below 2 degrees Celsius)

The planet’s richest one percent has a carbon footprint twice the size of the poorest half of the world’s population combined

For the global north, degrowth not only starts at home, it starts with the biggest houses.

Less Is More doesn’t end in a poetic appreciation for nature’s majesty, but by teasing out its implications for the political project of preserving a habitable planet. Hickel devotes much of the book to explaining that degrowth must be central to this project, promising not just survival, but real democracy, social abundance, and liberation.

Both involve broad social shifts away from private consumption and toward the production of shared public goods.

This beautiful coincidence overlaps with policy programs like the Green New Deal in important way

In July 1979, shortly after installing a set of solar panels over the West Wing, Jimmy Carter did something peculiar for a peacetime president. He asked Americans to sacrifice: to consume less, take public transit more, value community over material things, and buy bonds to fund domestic energy development, including solar

Next to Schumacher’s “Buddhist economics,” Debsian socialism was reformist tinkering. Schumacher didn’t see liberation as a matter of reshuffling the ownership and management structures of the smokestack-powered growth economy. He believed a deeper transformation was needed to maintain a livable planet. This would require new socioecological blueprints “designed for permanence.” As the left and the right battled for control over growth’s levers and spoils, Schumacher pointed out how both had become blind to the rise of growth as its own self-justifying, pan-ideological religion; its patterns of production and consumption, he observed, required “a degree of violence” that did not “fit into the laws of the universe.”

They determined that infinite growth was, in fact, impossible on a finite planet. Barring a major course correction, the team projected, growthism would result in an ecological systems breakdown sometime in the middle of the twenty-first century

This warning, detailed in the 1972 bestseller The Limits to Growth, has aged better than the scorn heaped on it

We are now witnessing what appears to be the beginnings of the collapse predicted nearly 50 years ago

In his new book, Less Is More, Jason Hickel, an anthropologist and journalist, attempts to bring a comprehensive critique of growth closer to the center of the conversation, arguing through a sweeping history of capitalism that it’s uncontrolled growth, not its controlled arrest and reversal, that is the preposterous concept.

This economic and political revolution was reinforced by a complementary scientific one that displaced the lingering animist cosmology of pre-capitalist Europe. The dualism of Francis Bacon and Descartes held reason to be distinct from and superior to matter.

The idea of limitless growth is a relatively recent one. In Less Is More, Hickel traces its origins to the enclosure of the European commons in the sixteenth century

Starving refugees were scattered and forced into a new economy defined by neo-feudal servitude and wage labor. Landowners, meanwhile, began amassing great stores of surplus wealth.

By the mid-1800s, a new “science” had arisen from these assumptions. Neoclassical economics fully abstracted the economy from the natural world. The economy was geared not toward the creation of a happy and prosperous society, but toward the perpetual growth of wealth as its own end, achieved in an inherently virtuous cycle of converting labor and resources into capital, to be accumulated and reinvested in faster and more productive conversions of labor and resources

This ideology subsumed and profaned notions about progress and morality held by the classical economists, until eventually the field even l

This process unfolded despite repeated warnings along the way. Classical economists like John Stuart Mill and, to a lesser extent, Adam Smith not only acknowledged the existence of natural limits to growth, but saw economic development as a phase; at some point, they believed, nations would create enough wealth to pursue other definitions of progres

the caveats issued by Simon Kuznets, father of the concept adopted in the twentieth century as growth’s universal and signature metric: gross domestic product. Kuznets, Hickel points out, “warned that we should never use GDP as a normal measure of economic progress,” because GDP does not distinguish between productive and destructive behavior

Most people encounter the growth debate, if they encounter it at all, through the idea of “green growth.

This is a vision for our collective future based on the belief that technological advance will drastically reduce the amount of raw materials needed to sustain growth—a process known as dematerialization—and “decouple” growing GDP from its ecological impacts.

boosters of the idea point to the transition by rich countries from manufacturing to service-based economies, as well as efficiency gains in energy and in the use of materials

The belief that green growth will save us, also known as “ecomodernism” or “ecopragmatism,” has become a trendy article of faith among elites who acknowledge climate change and the dangers of breaching ecological boundaries

n 2017, Barack Obama threw his support behind the idea in an article for Science magazine, maintaining that signs of decoupling in major economies “should put to rest the argument that combatting climate change requires accepting lower growth or a lower standard of living.”

The argument that capitalism can grow itself out of the present crisis may be soothing to those who like the world as it is. It also relies on the kind of accounting tricks and rejection of reality

By only counting the emissions created within a country that imports most of its cars, washing machines, and computers, you end up pushing the emissions related to their production off the books. When you factor them back in, the picture is much less green. A number of recent studies show no evidence of meaningful decoupling—in energy or materials—even as the world increases its use of renewable energy and finds ways to use some materials more efficiently.

Green growth, Hickel concludes, is an ecologically incoherent “fairy tale.”

consider what the ecomodernist position asks us to believe. The current system requires annual growth of roughly 3 percent to avoid the shock of recession. This means doubling the size of the economy every 23 years

he economy of 2000 must be 20 times larger in the year 2100, and 370 times larger in the year 2200.

Hickel is less interested in the macroeconomic details of this future than are growth critics based in economics departments, like Tim Jackson and Kate Raworth, and more focused on the leisure, security, and general human flourish

he makes an alluring case that degrowth does not require anything like the “command-and-control fiasco of the Soviet Union, or some back-to-the-caves, hair-shirted disaster of voluntary impoverishment.”

Attaining the benefits of the post-growth economy would, however, require what the present consumer society considers “sacrifices.

it’s not clear how many of them are ready to give up its superficial pleasures enabled by consumer debt

Among nations, there’s also the question of fairness: Wouldn’t it be unjust to impose degrowth across the world, when it’s disproportionately the countries of the global north that have spent centuries burning through the planet’s resources?

This output tracks to the one percent’s share of global wealth—a number equal to the GDP of the bottom 169 countries.

Even if you accept the argument that inequality would be best addressed by more centuries of trickle-down growth, you keep running up against the simple fact of its impossibility. Even just one more century of growth—which so far has shown no sign of taking a less destructive form—will require multiple earths

Hickel is serious about bringing the system critiques of E.F. Schumacher and others out of their traditional cloisters and into the streets, and has sought allies in this effort

emphasize what Hickel calls the “beautiful coincidence” of degrowth: that “what we need to do to survive is the same as what we need to do to have better lives.”

Both are internationalist in outlook, and see the world through a lens of climate justice as well as climate equilibrium.

that is, communicating the many benefits of moving beyond the insecurity and terrors of the current system, and building a new society that is sustainable, stable, democratic, and fundamentally better in every way.

Of particular concern to Commerce are so-called frontier models. The phrase, popularized in the Washington lexicon by some of the very companies that seek to build these models—Microsoft, Google, OpenAI, Anthropic—describes a kind of “advanced” artificial intelligence with flexible and wide-ranging uses that could also develop unexpected and dangerous capabilities. By their determination, frontier models do not exist yet. But an influential white paper published in July and co-authored by a consortium of researchers, including representatives from most of those tech firms, suggests that these models could result from the further development of large language models—the technology underpinning ChatGPT

The threats of frontier models are nebulous, tied to speculation about how new skill sets could suddenly “emerge” in AI programs.

Among the proposals the authors offer, in their 51-page document, to get ahead of this problem: creating some kind of licensing process that requires companies to gain approval before they can release, or perhaps even develop, frontier AI. “We think that it is important to begin taking practical steps to regulate frontier AI today,” the authors write.

Microsoft, Google, OpenAI, and Anthropic subsequently launched the Frontier Model Forum, an industry group for producing research and recommendations on “safe and responsible” frontier-model development.

Shortly after the paper’s publication, the White House used some of the language and framing in its voluntary AI commitments, a set of guidelines for leading AI firms that are intended to ensure the safe deployment of the technology without sacrificing its supposed benefit

AI models advance rapidly, he reasoned, which necessitates forward thinking. “I don’t know what the next generation of models will be capable of, but I’m really worried about a situation where decisions about what models are put out there in the world are just up to these private companies,” he said.

For the four private companies at the center of discussions about frontier models, though, this kind of regulation could prove advantageous.

Convincing regulators to control frontier models could restrict the ability of Meta and any other firms to continue publishing and developing their best AI models through open-source communities on the internet; if the technology must be regulated, better for it to happen on terms that favor the bottom line.

The obsession with frontier models has now collided with mounting panic about China, fully intertwining ideas for the models’ regulation with national-security concerns. Over the past few months, members of Commerce have met with experts to hash out what controlling frontier models could look like and whether it would be feasible to keep them out of reach of Beijing

That the white paper took hold in this way speaks to a precarious dynamic playing out in Washington. The tech industry has been readily asserting its power, and the AI panic has made policy makers uniquely receptive to their messaging,

“Parts of the administration are grasping onto whatever they can because they want to do something,” Weinstein told me.

The department’s previous chip-export controls “really set the stage for focusing on AI at the cutting edge”; now export controls on frontier models could be seen as a natural continuation. Weinstein, however, called it “a weak strategy”; other AI and tech-policy experts I spoke with sounded their own warnings as well.

The decision would represent an escalation against China, further destabilizing a fractured relationship

Many Chinese AI researchers I’ve spoken with in the past year have expressed deep frustration and sadness over having their work—on things such as drug discovery and image generation—turned into collateral in the U.S.-China tech competition. Most told me that they see themselves as global citizens contributing to global technology advancement, not as assets of the state. Many still harbor dreams of working at American companies.

“If the export controls are broadly defined to include open-source, that would touch on a third-rail issue,” says Matt Sheehan, a Carnegie Endowment for International Peace fellow who studies global technology issues with a focus on China.

What’s frequently left out of considerations as well is how much this collaboration happens across borders in ways that strengthen, rather than detract from, American AI leadership. As the two countries that produce the most AI researchers and research in the world, the U.S. and China are each other’s No. 1 collaborator in the technology’s development.

Assuming they’re even enforceable, export controls on frontier models could thus “be a pretty direct hit” to the large community of Chinese developers who build on U.S. models and in turn contribute their own research and advancements to U.S. AI development,

Within a month of the Commerce Department announcing its blockade on powerful chips last year, the California-based chipmaker Nvidia announced a less powerful chip that fell right below the export controls’ technical specifications, and was able to continue selling to China. Bytedance, Baidu, Tencent, and Alibaba have each since placed orders for about 100,000 of Nvidia’s China chips to be delivered this year, and more for future delivery—deals that are worth roughly $5 billion, according to the Financial Times.

In some cases, fixating on AI models would serve as a distraction from addressing the root challenge: The bottleneck for producing novel biochemical weapons, for example, is not finding a recipe, says Weinstein, but rather obtaining the materials and equipment to actually synthesize the armaments. Restricting access to AI models would do little to solve that problem.

there could be another benefit to the four companies pushing for frontier-model regulation. Evoking the specter of future threats shifts the regulatory attention away from present-day harms of their existing models, such as privacy violations, copyright infringements, and job automation

“People overestimate how much this is in the interest of these companies,”

AI safety as a domain even a few years ago was much more heterogeneous,” West told me. Now? “We’re not talking about the effects on workers and the labor impacts of these systems. We’re not talking about the environmental concerns.” It’s no wonder: When resources, expertise, and power have concentrated so heavily in a few companies, and policy makers are seeped in their own cocktail of fears, the landscape of policy ideas collapses under pressure, eroding the base of a healthy democracy.

Helen Toner, the director of strategy and foundational research grants for Center for Security and Emerging Technology at Georgetown, and Tasha McCauley, whose LinkedIn profile says she began work as an adjunct senior management scientist at Rand Corporation earlier this year. Toner has previously spoken at conferences for a philanthropic movement closely tied to AI safety. McCauley is also involved in the work.

Sutskever helped create AI software at the University of Toronto, called AlexNet, which classified objects in photographs with more accuracy than any previous software had achieved, laying much of the foundation for the field of computer vision and deep learning.

He recently shared a radically different vision for how AI might evolve in the near term. Within five to 10 years, there could be “data centers that are much smarter than people,” Sutskever said on a recent episode of the AI podcast “No Priors.” Not just in terms of memory or knowledge, but with a deeper insight and ability to learn faster than humans.

At the bare minimum, Sutskever added, it’s important to work on controlling superintelligence today. “Imprinting onto them a strong desire to be nice and kind to people — because those data centers,” he said, “they will be really quite powerful.”

OpenAI has a unique governing structure, which it adopted in 2019. It created a for-profit subsidiary that allowed investors a return on the money they invested into OpenAI, but capped how much they could get back, with the rest flowing back into the company’s nonprofit. The company’s structure also allows OpenAI’s nonprofit board to govern the activities of the for-profit entity, including the power to fire its chief executive.

As news of the circumstances around Altman’s ouster began to come out, Silicon Valley circles have turned to anger at OpenAI’s board.

“What happened at OpenAI today is a board coup that we have not seen the likes of since 1985 when the then-Apple board pushed out Steve Jobs,” Ron Conway, a longtime venture capitalist who was one of the attendees at OpenAI’s developer conference, said on X. “It is shocking, it is irresponsible, and it does not do right by Sam and Greg or all the builders in OpenAI.”

OpenAI was was trying to balance safety and development — a balance that became harder to maintain under the pressures of commercialization.

It was founded as a nonprofit by people who professed sincere concern about taking things safe and slow. But it was also full of AI nerds who wanted to, you know, make cool AIs.

OpenAI set up a for-profit arm — but with a corporate structure that left the nonprofit board able to cry “stop” if things started moving too fast (or, if you prefer, gave “a handful of people with no financial stake in the company the power to upend the project on a whim”).

On Friday, those people, in a fit of whimsy, kicked Brockman off the board and fired Altman. Reportedly, the move was driven by Ilya Sutskever, OpenAI’s chief scientist, who, along with other members of the board, has allegedly clashed repeatedly with Altman over the speed of generative AI development and the sufficiency of safety precautions.

Chief among the signatories was Sutskever, who tweeted Monday morning, “I deeply regret my participation in the board’s actions. I never intended to harm OpenAI. I love everything we’ve built together and I will do everything I can to reunite the company.”

Humanity can’t help itself; we have kept monkeying with technology, no matter the dangers, since some enterprising hominid struck the first stone ax.

a software company has little in the way of tangible assets; its people are its capital. And this capital looks willing to follow Altman to where the money is.

More broadly still, it perfectly encapsulates the AI alignment problem, which in the end is also a human alignment problem

And that’s why we are probably not going to “solve” it so much as hope we don’t have to.

it’s also a valuable general lesson about corporate structure and corporate culture. The nonprofit’s altruistic mission was in tension with the profit-making, AI-generating part — and when push came to shove, the profit-making part won.

When scientists started messing with the atom, there were real worries that nuclear weapons might set Earth’s atmosphere on fire. By the time an actual bomb was exploded, scientists were pretty sure that wouldn’t happen

But if the worries had persisted, would anyone have behaved differently — knowing that it might mean someone else would win the race for a superweapon? Better to go forward and ensure that at least the right people were in charge.

Now consider Sutskever: Did he change his mind over the weekend about his disputes with Altman? More likely, he simply realized that, whatever his reservations, he had no power to stop the bobsled — so he might as well join his friends onboard. And like it or not, we’re all going with them.

The complication that Gordon and other internet-skeptical researchers like Ha-Joon Chang have introduced is to question just how meaningful those digital technologies have been for a) economic growth and b) the daily experience of human life. It can be hard for people who stare at their phones all day to consider the possibility that digital technology just isn’t that important. But ask yourself: if you were forced to live either without your iPhone or without indoor plumbing, could you really choose the latter?

Certainly the improvements in medical care in the past half-century feel very important to me as someone living now, and one saved life has immensely emotional and practical importance for many people. What’s more, advances in communication sciences and computer technology genuinely have been revolutionary; going from the Apple II to the iPhone in 30 years is remarkable.

we can always debate what constitutes major or revolutionary change

Why is Apple going so hard on TITANIUM? Well, where else does smartphone development have to go?

continued improvements in worldwide mortality in the past 75 years have been a matter of spreading existing treatments and practices to the developing world, rather than the result of new science.

When you got your first smartphone, and you thought about what the future would hold, were your first thoughts about more durable casing? I doubt it. I know mine weren’t.

The question is, who in 2023 ever says to themselves “smartphone cameras just aren’t good enough”?

The elephant in the room, obviously, is AI.

The processors will get faster. They’ll add more RAM. They’ll generally have more power. But for what? To run what? To do what? To run the games that we were once told would replace our PlayStation and Xbox games, but didn’t?

Smartphone development has been a good object lesson in the reality that cool ideas aren’t always practical or worthwhile

There were, in those breathless early days, a lot of talk about how people simply wouldn’t own laptops anymore, how your phone would do everything. But it turns out that, for one thing, the keyboard remains an input device of unparalleled convenience and versatility.

We developed this technology for typewriters and terminals and desktops, it Just Works, and there’s no reason to try and “disrupt” it

Instead of one device to rule them all, we developed a norm of syncing across devices and cloud storage, which works well. (I always thought it was pretty funny, and very cynical, how Apple went from calling the iPhone an everything device to later marketing the iPad and iWatch.) In other words, we developed a software solution rather than a hardware one

I will always give it up to Google Maps and portable GPS technology; that’s genuinely life-altering, probably the best argument for smartphones as a transformative technology. But let me ask you, honestly: do you still go out looking for apps, with the assumption that you’re going to find something that really changes your life in a significant way?

some people are big VR partisans. I’m deeply skeptical. The brutal failures of Meta’s new “metaverse” is just one new example of a decades-long resistance to the technology among consumers

maybe I just don’t want VR to become popular, given the potential ugly social consequences. If you thought we had an incel problem now….

And as impressive as some new development in medicine has been, there’s no question that in simple terms of reducing preventable deaths, the advances seen from 1900 to 1950 dwarf those seen since. To a rem

It’s not artificial intelligence. It thinks nothing like a human thinks. There is no reason whatsoever to believe that it has evolved sentience or consciousness. There is nothing at present that these systems can do that human being simply can’t. But they can potentially do some things in the world of bits faster and cheaper than human beings, and that might have some meaningful consequences. But there is no reasonable, responsible claim to be made that these systems are imminent threats to conventional human life as currently lived, whether for good or for bad. IMO.

Let’s mutually agree to consider immediate plausible human technological progress outside of AI or “AI.” What’s coming? What’s plausible?

The most consequential will be our efforts to address climate change, and we have the potential to radically change how we generate electricity, although electrifying heating and transportation are going to be harder than many seem to think, while solar and wind power have greater ecological costs than people want to admit. But, yes, that’s potentially very very meaningful

It’s another example of how technological growth will still leave us with continuity rather than with meaningful change.

I kept thinking was, privatizing space… to do what? A manned Mars mission might happen in my lifetime, which is cool. But a Mars colony is a distant dream

This is why I say we live in the Big Normal, the Big Boring, the Forever Now. We are tragic people: we were born just too late to experience the greatest flowering of human development the world has ever seen. We do, however, enjoy the rather hefty consolation prize that we get to live with the affordances of that period, such as not dying of smallpox.

I think we all need to learn to appreciate what we have now, in the world as it exists, at the time in which we actually live. Frankly, I don’t think we have any other choice.

Continued hype is necessary for the industry, because so much money flowing in essentially allows the big players, like OpenAI, to operate free of economic worry and considerations

The money involved is staggering—Anthropic announced they would compete with OpenAI and raised 2 billion dollars to train their next-gen model, a European counterpart just raised 500 million, etc. Venture capitalists are eager to throw as much money as humanely possible into AI, as it looks so revolutionary, so manifesto-worthy, so lucrative.

While I have no idea what the downloads are going to be for the GPT Store next year, my suspicion is it does not live up to the hyped Apple-esque expectation.

given their test scores, I’m willing to say GPT-4 or Gemini is smarter along many dimensions than a lot of actual humans, at least in the breadth of their abstract knowledge—all while noting even leading models still have around a 3% hallucination rate, which stacks up in a complex task.

A more interesting “bear case” for AI is that, if you look at the list of industries that leading AIs like GPT-4 are capable of disrupting—and therefore making money off of—the list is lackluster from a return-on-investment perspective, because the industries themselves are not very lucrative.

What are AIs of the GPT-4 generation best at? It’s things like:writing essays or short fictionsdigital artchattingprogramming assistance

While I personally wouldn’t go so far as to describe current LLMs as “a solution in search of a problem” like cryptocurrency has famously been described as, I do think the description rings true in an overall economic/business sense so fa

The issue is that taking the job of a human illustrator just. . . doesn’t make you much money. Because human illustrators don’t make much money

While you can easily use Dall-E to make art for a blog, or a comic book, or a fantasy portrait to play an RPG, the market for those things is vanishingly small, almost nonexistent

As of this writing, the compute cost to create an image using a large image model is roughly $.001 and it takes around 1 second. Doing a similar task with a designer or a photographer would cost hundreds of dollars (minimum) and many hours or days (accounting for work time, as well as schedules). Even if, for simplicity’s sake, we underestimate the cost to be $100 and the time to be 1 hour, generative AI is 100,000 times cheaper and 3,600 times faster than the human alternative.

Like, wow, an AI that can write a Reddit comment! Well, there are millions of Reddit comments, which is precisely why we now have AIs good at writing them. Wow, an AI that can generate music! Well, there are millions of songs, which is precisely why we now have AIs good at creating them.

Search is the most obvious large market for AI companies, but Bing has had effectively GPT-4-level AI on offer now for almost a year, and there’s been no huge steal from Google’s market share.

What about programming? It’s actually a great expression of the issue, because AI isn’t replacing programming—it’s replacing Stack Overflow, a programming advice website (after all, you can’t just hire GPT-4 to code something for you, you have to hire a programmer who uses GPT-4

Even if OpenAI drove Stack Overflow out of business entirely and cornered the market on “helping with programming” they would gain, what? Stack Overflow is worth about 1.8 billion, according to its last sale in 2022. OpenAI already dwarfs it in valuation by an order of magnitude.

The more one thinks about this, one notices a tension in the very pitch itself: don’t worry, AI isn’t going to take all our jobs, just make us better at them, but at the same time, the upside of AI as an industry is the total combined worth of the industries its replacing, er, disrupting, and this justifies the massive investments and endless economic optimism.

It makes me worried about the worst of all possible worlds: generative AI manages to pollute the internet with cheap synthetic data, manages to make being a human artist / creator harder, manages to provide the basis of agential AIs that still pose some sort of existential risk if they get intelligent enough—all without ushering in some massive GDP boost that takes us into utopia

If the AI industry ever goes through an economic bust sometime in the next decade I think it’ll be because there are fewer ways than first thought to squeeze substantial profits out of tasks that are relatively commonplace already

We can just look around for equivalencies. The payment for humans working as “mechanical turks” on Amazon are shockingly low. If a human pretending to be an AI (which is essentially what a mechanical turk worker is doing) only makes a buck an hour, how much will an AI make doing the same thing?

, is it just a quirk of the current state of technology, or something more general?

What’s written on the internet is a huge “high quality” training set (at least in that it is all legible and collectable and easy to parse) so AIs are very good at writing the kind of things you read on the internet

But data with a high supply usually means its production is easy or commonplace, which, ceteris paribus, means it’s cheap to sell in turn. The result is a highly-intelligent AI merely adding to an already-massive supply of the stuff it’s trained on.

Was there really a great crying need for new ways to cheat on academic essays? Probably not. Will chatting with the History Buff AI app (it was is in the background of Sam Altman’s presentation) be significantly different than chatting with posters on /r/history on Reddit? Probably not

Call it the supply paradox of AI: the easier it is to train an AI to do something, the less economically valuable that thing is. After all, the huge supply of the thing is how the AI got so good in the first place.

AI might end up incredibly smart, but mostly at things that aren’t economically valuable.

“Many cities without Omicron outbreaks also suffered, as their economies are linked to those currently under lockdown,” Zhang said in an email in mid-May. “The economic costs are not limited to a small number of cities, it is a national problem.”

Excluding tax cuts and refunds, the Ministry of Finance said local fiscal revenue grew by 5.4% during the first four months of the year from a year ago. Eight of China’s 31 province-level regions saw a drop in fiscal revenue during that time, the ministry said, without naming them.Incomplete data for the period from Wind Information showed the regions of Qinghai, Shandong, Liaoning, Hebei, Guizhou, Hubei, Hunan and Tianjin posted year-on-year declines in fiscal revenue for the first four months of the year. Tianjin was the worst with a 27% decline.

Even before the latest Covid outbreak, land sales, a significant source of local government revenue, have plunged following Beijing’s crackdown on real estate developers’ high reliance on debt. Local governments are also responsible for implementing tax cuts and refunds that Beijing has announced to support growth.

Although financial data isn’t readily available for many Chinese cities, the southern tech hub of Shenzhen released figures showing a 44% year-on-year drop in fiscal revenue in April to 25.53 billion yuan. That followed a 7% year-on-year decline in March to 22.95 billion yuan.

Beijing in March already announced an increase in transfer of funds from the central to local governments. When asked in May whether that would be expanded, the Ministry of Finance noted some funding for next year would be transferred ahead of time to help local governments with tax refunds and cuts this year.

In late April, Chinese President Xi Jinping called for a nationwide push to develop infrastructure ranging from waterways to cloud computing infrastructure. It was not clear at what scale or timeframe the projects would be constructed.

“We expect the debt to continue to climb this year as a result of these economic pressures,” Yuan said, noting it remains to be seen how Beijing decides to balance economic growth with debt levels this year.

WeRide has a valuation of $4.4 billion, according to CB Insights, with backers such as Nissan and Qiming Venture Partners. WeRide operates robotaxis and robobuses in parts of the southern city of Guangzhou, where it’s also testing self-driving street sweepers.

“Because Bosch is in charge of integration, we have to really spend 120% of our time to help Bosch with the integration and adaptation work,” Han said. WeRide has yet to go public.

picks for autonomous driving include ArcSoft and Desay SV.An outsourcing business model in China gives independent software vendors more opportunities than in the United States, where software is developed in-house at companies like Tesla, the analysts said. Beijing also plans to have L3 vehicles in mass production by 2025.“Auto OEMs are investing significantly in car software/digitalization to 2025, targeting US$20bn+ of obtainable software revenue by decade-end,” the Goldman analysts wrote in mid-March.

They estimate that for every car, the value of software within will rise from $202 each for L0 cars to $4,957 for L4 cars in 2030. For comparison, the battery component costs at least $5,000 today. By that calculation, the market for advanced driver assistance systems and autonomous driving software is set to surge from $2.4 billion in 2021 to $70 billion in 2030 — with China accounting for about a third, the analysts predict.

who got the future most right? For the truth is that dystopia is now, not in some future date.

Science fiction provides us with a large sample of imagined discontinuities that might not occur if we only looked backwards.

Fahrenheit 451 (published in 1953 but set in 1999) describes an illiberal America where books are banned and the job of firemen is to burn them. (Though the novel is sometimes interpreted as a critique of McCarthyism, Bradbury’s real message was that the preference of ordinary people for the vacuous entertainment of TV and the willingness of religious minorities to demand censorship together posed a creeping threat to the book as a form for serious content.)

In a remarkable letter written in October 1949, Aldous Huxley — who had been Orwell’s French teacher at Eton — warned him that he was capturing his own present rather than the likely future. ‘The philosophy of the ruling minority in Nineteen Eighty-Four,’ Huxley wrote, ‘is a sadism which has been carried to its logical conclusion… Whether in actual fact the policy of the boot-on-the-face can go on indefinitely seems doubtful. My own belief is that the ruling oligarchy will find less arduous and wasteful ways of governing and of satisfying its lust for power, and these ways will resemble those which I described in Brave New World’. Huxley’s Brave New World (1932) is a very different dystopia. Citizens submit to a caste system, conditioned to be content with physical pleasure. Self-medication (‘soma’), constant entertainment (the ‘feelies’), regular holidays and ubiquitous sexual titillation are the basis for mass compliance. Censorship and propaganda play a part, but overt coercion is rarely visible. The West today seems more Huxley than Orwell: a world more of corporate distraction than state brutality.

Yet none of these authors truly foresaw our networked world, which has combined the rising technological acceleration with a slackening of progress in other areas, such as nuclear energy, and a degeneration of governance. The real prophets are less known figures, like John Brunner, whose Stand on Zanzibar (1968) is set at a time — 2010 — when population pressure has caused social division and political extremism. Despite the threat of terrorism, US corporations are booming, thanks to a supercomputer. China is America’s new rival. Europe has united. Brunner envisaged affirmative action, genetic engineering, Viagra, Detroit’s collapse, satellite TV, in-flight video, gay marriage, laser printing, electric cars, the decriminalisation of marijuana and the decline of tobacco. There’s even a progressive president (albeit of the Africa state of Beninia, not America) named ‘Obomi’

With comparable prescience, William Gibson’s Neuromancer (1984) anticipates the world wide web and AI. Opening in the dystopian Japanese underworld of Chiba City, it imagines a global computer network in cyberspace called the ‘matrix’. Neal Stephenson’s Snow Crash (1992), which was especially popular among Facebook employees in the company’s early years, foresaw corporate overreach and virtual reality in an almost anarchic America. The state has withered away in California; everything has been privatised. Most people spend half their time in virtual reality, where their avatars have more fun than they themselves do in the real world. Meanwhile, flotillas of refugees approach via the Pacific. These cyberpunk Americas are much closer to the US in 2021 than the fascist dystopias of Lewis, Atwood or Roth.

Orwell and Huxley — have been outflanked when it comes to making sense of today’s totalitarian countries

Take China, which better resembles Yevgeny Zamyatin’s We: a book written in 1921, but suppressed by the Bolsheviks. It is set in a future ‘One State’ led by ‘the Benefactor’, where the ‘ciphers’ — who have numbers, not names, and wear standardised ‘unifs’ — are under constant surveillance. All apartments are made of glass, with curtains that can be drawn only when one is having state-licensed sex. Faced with insurrection, the omnipotent Benefactor orders the mass lobotomisation of ciphers, as the only way to preserve universal happiness is to abolish the imagination.

Chan Koonchung’s The Fat Years (2009) — which is banned in China. In this story, tap water is laced with drugs that render people docile, but at a cost. The month of February 2011 has been removed from public records and popular memory. This was when drastic emergency measures were introduced to stabilise the Chinese economy and assert China’s primacy in east Asia. Chan is one of a number of recent Chinese authors who have envisioned the decline of America, the corollary of China’s rise. The Fat Years is set in an imagined 2013, after a second western financial crisis makes China the world’s no. 1 economy.

Liu Cixin’s The Three-Body Problem (2006), a Chinese nanotechnology expert and a Beijing cop lead the global defence against an alien invasion that’s the fault of a misanthropic Chinese physicist.

his case is one of dozens discovered by reporters appearing to show Credit Suisse opened or maintained accounts for clients who had serious convictions that might be expected to show up in due diligence checks. There are other instances in which Credit Suisse may have taken quick action after red flags emerged, but the case nonetheless shows that dubious clients have been attracted to the bank.

Like every other bank in the world, Credit Suisse professes to have stringent control mechanisms to carry out extensive due diligence on its customers to “ensure that the highest standards of conduct are upheld”. In banking parlance, such controls are called know-your-client or KYC checks.

A 2017 leaked report commissioned by Switzerland’s financial regulator shed some light on the bank’s internal procedures at that time. Clients would face intensified scrutiny when flagged as a politically exposed person from a high-risk country, or a person involved in a high-risk activity such as gambling, weapons trading, financial services or mining, the report said.

Such controls might be expected to prevent a bank from opening accounts for clients such as Rodoljub Radulović, a Serbian securities fraudster indicted in 2001 by the US Securities and Exchange Commission. However, the leaked data identifies him as the co-signatory of two Credit Suisse company accounts. The first was opened in 2005, the year after the SEC had secured a default judgment against Radulović for running a pump-and-dump scheme.

One of Radulović’s company accounts held 3.4m CHF (£2.2m) before they closed in 2010. He was recently given a 10-year prison sentence by a court in Belgrade for his role trafficking cocaine from South America for the organised crime boss Darko Šarić.

Due diligence is not only for new clients. Banks are required to continually reassess existing customers. The 2017 report said Credit Suisse screened customers at least every three years and as often as once a year for the riskiest clients. Lawyers for Credit Suisse told the Guardian these periodic reviews were introduced “more than 15 years ago”, meaning it was continually running due diligence on existing clients from 2007.

The bank might, therefore, have been expected to have discovered that its German client Eduard Seidel was convicted of bribery in 2008. Seidel was an employee of Siemens. As the multinational’s lead in Nigeria, he oversaw a campaign of industrial-scale bribery to secure lucrative contracts for his employer by funnelling cash to corrupt Nigerian politicians.

After German authorities raided the Munich headquarters of Siemens in 2006, Seidel immediately confessed his role in the bribery scheme, though he said he had never stolen from the company or appropriated its slush funds. His involvement in the corruption led to his name being entered into the Thomson Reuters World-Check database in 2007.

However, the leaked Credit Suisse data shows his accounts were left open until at least well into the last decade. At one point after he left Siemens, one account was worth 54m CHF (£24m). Seidel’s lawyer declined to say whether the accounts were his. He said his client had addressed all outstanding matters relating to his bribery offences and wished to move on with his life.

The lawyer did not respond to repeated invitations to explain the source of the 54m CHF. Siemens said it did not know about the money and that its review of its own cashflows shed no light on the account.

A representative for Sederholm said Credit Suisse never froze his accounts and did not close them until 2013 when he was unable to provide due diligence material. Asked why Sederholm needed a Swiss account, they said that he was living in Thailand when it was opened, adding: “Can you please tell me if you would prefer to put your money in a Thai or Swiss bank?”

One client, Stefan Sederholm, a Swedish computer technician who opened an account with Credit Suisse in 2008, was able to keep it open for two-and-a-half years after his widely reported conviction for human trafficking in the Philippines, for which he was given a life sentence.

Swiss banks have cultivated their trusted reputation since as far back as 1713, when the Great Council of Geneva prohibited bankers from revealing details about the fortunes being deposited by European aristocrats. Switzerland soon became a tax haven for many of the world’s elites and its bankers nurtured a “duty of absolute silence” about their clients affairs.

The custom was enshrined in statute in 1934 with the introduction of Switzerland’s banking secrecy law, which criminalised the disclosure of client banking information to foreign authorities. Within decades, wealthy clients from all over the world were flocking to Swiss banks. Sometimes, that meant clients with something to hide.

One former Credit Suisse employee at the time alleges there was a deeply ingrained culture in Swiss banking of looking the other way when it came to problematic clients. “The bank’s compliance departments [were] masters of plausible deniability,” they told a reporter from the Organized Crime and Corruption Reporting Project, one of the coordinators of the Suisse secrets project. “Never write anything down that could expose an account that is non-compliant and never ask a question you do not want to know the answer to.”

The 2000s was also a decade in which foreign regulators and tax authorities became increasingly frustrated at their inability to penetrate the Swiss financial system. That changed in 2007, when the UBS banker Bradley Birkenfeld voluntarily approached US authorities with information about how the bank was helping thousands of wealthy Americans evade tax with secret accounts.

Birkenfeld was viewed as a traitor in Switzerland, where banking whistleblowers are often held in contempt. However, a wide-ranging US Senate investigation later uncovered the aggressive tactics used by UBS and Credit Suisse, the latter of which was found to have sent bankers to high-end events to recruit clients, courted a potential customer with free gold, and in one case even delivered sensitive bank statements hidden in the pages of a Sports Illustrated magazine.

The revelations sent shock waves through Switzerland’s financial sector and enraged the US, which pressured Switzerland into unilaterally disclosing which of its taxpayers had secret Swiss accounts from 2014. That same year, Switzerland reluctantly signed up to the international convention on the automatic exchange of banking Information.

By adopting the so-called common reporting standard (CRS) for sharing tax data, Switzerland in effect agreed that its banks would in the future exchange information about their clients with tax authorities in foreign countries. They started doing so in 2018.

Membership of the global exchange system is often cited by Switzerland’s banking industry as a turning point. “There is no longer Swiss bank client confidentiality for clients abroad,” the Swiss Bankers Association told the Guardian. “We are transparent, there is nothing to hide in Switzerland.”

Switzerland’s almost 90-year-old banking secrecy law, however, remains in force – and was recently broadened. The Tax Justice Network estimates that countries around the world collectively lose $21bn (£15.4bn) each year in tax revenues because of Switzerland. Many of those countries will be poorer nations that have not signed up to the CRS data exchange.

More than 90 countries, most of which are in the developing world, remain in the dark when their wealthy taxpayers hide their money in Swiss accounts.

This inequity in the system was cited by the whistleblower behind the leaked data, who said the CRS system “imposes a disproportionate financial and infrastructural burden on developing nations, perpetuating their exclusion from the system in the foreseeable future”.

“This situation enables corruption and starves developing countries of much-needed tax revenue. These countries are the ones that therefore suffer most from Switzerland’s reverse-Robin-Hood stunt,” they said.

“I am aware that having an offshore Swiss bank account does not necessarily imply tax evasion or any other financial crime,” they said. “However, it is likely that a significant number of these accounts were opened with the sole purpose of hiding their holder’s wealth from fiscal institutions and/or avoiding the payment of taxes on capital gains.”