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Javier E

What Does Sustainable Living Look Like? Maybe Like Uruguay - The New York Times - 0 views

www.nytimes.com/...uruguay-renewable-energy.html

uruguay sustainability sustainable history culture thrift

shared by Javier E on 06 Oct 22 - No Cached
  • your carbon bill is world-historically anomalous but normal among your neighbors: 17 tons for transportation, 14 tons for housing, eight tons for food, six tons for services, five tons for goods.
  • That household total, 50 tons, represents a carbon footprint of about 25 tons per person. It’s a figure that eclipses the global median by a factor of five and is nowhere close to where it needs to be if you — we — want to stave off the worst of warming’s effects: around two tons per person.
  • This is the problem with any climate policy, big or small: It requires an imaginative leap. While the math of decarbonization and electric mobilization is clear, the future lifestyle it implies isn’t always
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  • This isn’t an American crisis alone. All around the world, developed nations have locked themselves into unsustainable, energy-intensive lifestyles.
  • Among those with the largest footprints are wealthy oil-producing microstates with small populations, like Qatar or Trinidad and Tobago, where the per-capita footprint pushes 60 tons
  • In the next tier, with the United States, are other sprawling, continent-size countries that use a lot of heating or cooling and where people tend to drive long distances, such as Canada and Australia (around 20 tons)
  • By dint of their density and reliance on mass transit, nations in Western Europe (as well as Japan and South Korea) make up most of the next tier, which cleaves roughly into two groups: places like Germany, Norway and the Netherlands that rely more on fossil fuels (around 15 tons),
  • places like the United Kingdom, Denmark and France that use a higher percentage of nuclear and renewable power. Though it’s half the size of an American’s, the footprint of someone in the typical French household still remains unsustainably high: around nine tons.
  • This is the paradox at the heart of climate change: We’ve burned far too many fossil fuels to go on living as we have, but we’ve also never learned to live well without them
  • the problem of the future is how to create a 19th-century carbon footprint without backsliding into a 19th-century standard of living. N
  • The greatest crisis in human history may require imagining ways of living — not just of energy production but of daily habit — that we have never seen before. How do we begin to imagine such a household?
  • With a carbon footprint hovering around the global median of 4.5 tons per capita, it falls within a narrow tier of nearly developed countries within sight of two tons per capita — the estimated amount needed to limit the world to 1.5 degrees Celsius of warming.
  • There are countries more prosperous, and countries with a smaller carbon footprint, but perhaps in none do the overlapping possibilities of living well and living without ruin show as much promise as in Uruguay.
  • Mujica harbored another deeper belief too. For years, he had been arguing that the “blind obsession to achieve growth with consumption” was the real cause of the linked energy and ecological crises.
  • In speeches, he pushed his people to reject materialism and embrace Uruguay’s traditions of simplicity and humility. “The culture of the West is a lie,” he told me. “The engine is accumulation. But we can’t pretend that the whole world can embrace it. We would need two or three more planets.”
  • He shared his own experience in solitary confinement, and how years without books or conversation drew him closer to the fundamentals of being: nature, love, family. “I learned to give value to little things in life. I kept some frogs as pets in prison and bathed them with my drinking water,”
  • “The true revolution is a different culture: learning to live with less waste and more time to enjoy freedom.”
  • By 2016, an array of biomass, solar and some 50 wind parks had replaced the grid’s use of oil, helping slash more than half a billion dollars from the country’s annual budget. Today, Uruguay boasts one of the world’s greenest grids, powered by 98 percent renewable energy.
  • prevailing economic conditions and something in Uruguay’s character had afforded the transition more receptivity than anyone predicted. This was one way in which a career in theoretical physics prepared Méndez for the world of policymaking, he said: “You have to be open to the solutions being very narrow and technical, or very wide and human.”
  • as the energy sector shifted, the mind-set in the country began to shift with it, Méndez said, sometimes in surprising ways. Some bought air-conditioning units, but many kept to their formerly low-consumption habits, continuing to hang their laundry and take the bus, dozens of which in Montevideo were now electric. Others bought plug-in timers to automate their laundries to run at night or installed solar water heaters on their roof
  • for Méndez, the biggest shift was among leaders. In cabinet and business meetings the problems of the future — like how to eliminate industrial waste and phase out gas entirely — began to feel like just that, he said: problems, not crises.
  • there appeared to be fundamental tension in how to bring Uruguayans along in the energy transition. On the one hand, the infrastructure shift needed to happen in the background, so the public never lost confidence in the grid — that part had been surprisingly smooth. But on the other hand, it was important to keep people engaged so they would support the necessary changes to come
  • Emaldi and her colleagues focused their efforts on electrifying transportation and growing the green-energy sector. The government eliminated duties and taxes on electric cars and rebranded a tax on gas as a CO2 tax, with a portion funding green initiatives.
  • “What comes in the near future will change more lives,” Minister Paganini told me. “You have to get into sectors or areas that are much more difficult than just changing the generation of electricity.” You need to change human behavior.
  • fossil fuels gave humanity the ability to choose our food, to transform a rainforest or windblown desert into something fertile and constant, a biotic vending machine from which eaters can select whatever they want whenever they want it. This choice now drives about a third of all global emissions. Most of them stem from the growing process itself — clearing land, fertilizing crops — with the bulk of the rest coming indirectly from the vast web of manufacturing and delivery systems that bring it to us: packaging crackers, refrigerating drumsticks, airlifting avocados.
  • One reason the global cattle industry had become so damaging, Baethgen said, was that too many grasslands had been razed or degraded. In the short term, feedlots produced more food, often with lower emissions, since cows got fatter faster and burped less frequently, but over the long term, without the grasslands to recycle carbon, net emissions built up. From Baethgen’s perspective, every damaged field thus represented a huge opportunity: By restoring grasslands, he could not only pull more greenhouse gases into the ground, but also grow more beef. And since the 1990s, Uruguay has managed a remarkable feat: increasing its annual production of beef without any increase in greenhouse gases — and doing all of this on natural pasturelands.
  • He believed too much climate science relied on big-picture modeling to drive engagement. “Those science-fiction scenarios were great to increase awareness,” he said. “But if you give a minister of agriculture information for the year 2080, that doesn’t do anything.” He waved a hand over the landscape. “You’re providing information, far in the future, with no resolution and no certainty. That’s the best combination to ensure paralysis. Nobody does anything.”
  • In his 2016 book, “The Great Derangement,” the Indian writer Amitav Ghosh says it’s unwise to reduce climate denial to “only a function of money and manipulation.” The sheer level of paralysis, he writes, “suggests that the climate crisis threatens to unravel something deeper, without which large numbers of the people would be at a loss to find meaning.” Ghosh wonders if the modern consumer mind-set can ever change, collectively or otherwise: “In a world where the rewards of a carbon-intensive economy are regarded as wealth, this must be reckoned as a very significant material sacrifice.”
  • Esponda described his family as middle to upper middle class. Both he and Laroca were economists for the city and together made about $30,000 a year. “Everybody in Uruguay is middle class,” he said. I thought I knew what he meant. Unlike in the United States, I found it difficult in Uruguay to discern class differences. Conspicuous displays of wealth seemed rare, as were the tiers of consumer goods that otherwise revealed someone’s spending. “There’s not the American consumerist mentality of ‘We need to get the next new thing,’”
  • On trips to New Orleans and Chicago, he had been transfixed by the selection of junk food in convenience stores, the undamaged furniture left on the street. “You guys throw away your whole home,” he told me. “Here, most of this stuff wouldn’t be trash.”
  • Esponda pointed to his couch, a sagging green camelback. It was given to them by his parents, he said, and barely fit his growing family anymore. But he couldn’t find a reason to replace it, even with a dual income that allowed them to save each month. “Why would I?” he said. It was a mentality apparent throughout the couple’s apartment. In stark contrast to most American homes with two kids, their apartment wasn’t overflowing with toys. Two bikes leaned against the wall by a plastic slide. “Our choices don’t really have anything to do with the environment,” he said. “It’s about saving money, yes, but also being careful with what we buy.”
  • Several people described frugality to me as a core tenet of the Uruguayan political project, though globalization had played a role, too.
  • something a man in the asentamientos said to me: “Nobody has confronted the real problem: How will the country grow?”
  • I thought of a single dad I met in Montevideo who said I shouldn’t think of his country as a model or example. It was too small, its progress too troubled. It was more like a laboratory for the rest of the world, he said.
  • We often picture the future as a kind of growth, a set of possibilities to expand and realize, but maybe it could also be the opposite, a present to reconcile and safeguard.
  • Part of the reason America has become so paralyzed by climate change is precisely that we’ve failed to acknowledge the limits it imposes — on where we can live, the things we can have, the household we can envision. This is a particularly difficult idea to sell to a country perched atop decades of accrued wealth, which was itself amassed by generations imagining further comfort and choice.
  • In the coming months, gas prices spiked, inflation climbed and the price of energy began to strangle Europe. No future seemed as certain as a less abundant one.
  • A former bank analyst at Bear Stearns, Estrada had decided to take a 75 percent pay cut to return home and eventually took a job with a local energy firm. “I read studies about how there’s a diminishing return on happiness above a certain income, and I experienced that,” he told me of living in New York. “I had more money than I had things I wanted to buy.” He said that contracting his life had allowed him to be more mindful of its details. It reminded him of the household his parents ran in the 1980s, when things were so precarious. No one left lights on or wasted water. They were mindful of the things they bought.
  • “We learn to live with less here,” he said. “And it’s made my life better.”
Javier E

Why the Florida Fantasy Withstands Reality - The Atlantic - 0 views

www.theatlantic.com/...671629

florida fantasy fraud paradise climate change

shared by Javier E on 01 Oct 22 - No Cached
  • The tragedy of Ian ought to help more Floridians understand the consequences of environmental destruction, perfunctory planning, and climate denial.
  • our politics might be less disastrous if more people understood why it still feels like paradise.
  • For too long, too much of the Florida economy has been an ecological Ponzi scheme that depends on bringing in 1,000 new residents a day, including the mortgage brokers and drywall installers and landscapers whose livelihoods depend on bringing 1,000 more new residents the next day. There’s no culture of long-term planning or investing, no ethic of limits or responsibility or risk management. Florida has always been about now, mine, more.
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  • ne thing I’ve learned in my years of whining about Florida’s unsustainable trajectory in the climate era is that most Floridians don’t care.
  • especially if they’re newly retired to Florida. They’re here to enjoy the warm weather in a state with no income tax, not to build a better tomorrow for future generations.
  • Usually, it’s just nice. It’s certainly way nicer than Boston or Brooklyn, or Michigan or Minnesota, in the winter.
  • DeSantis has risen to national prominence behind a very Florida form of now-mine-more messaging, proclaiming this the “free state” of Florida, where you don’t have to worry about public-health scolds telling you to wear a mask or get a vaccine, or pointy-headed planners telling you where to build your house or when to water your lawn. He’s selling irresponsibility as a virtue. Worrying about consequences is for losers.
  • My insurer went bankrupt last month, one of six to go under in Florida this year, and the state took over my policy, as it surely did for thousands of Floridians who will now file claims. But the Republican leaders who have assumed for the past quarter-century that the feds will bail us out after the Big One were probably right. We’ve gotten too big to fail.
Javier E

How Climate Change Is Changing Therapy - The New York Times - 0 views

www.nytimes.com/...climate-anxiety-therapy.html

climate change therapy mental health adaptation role psychology response history

shared by Javier E on 22 Oct 23 - No Cached
  • Andrew Bryant can still remember when he thought of climate change as primarily a problem of the future. When he heard or read about troubling impacts, he found himself setting them in 2080, a year that, not so coincidentally, would be a century after his own birth. The changing climate, and all the challenges it would bring, were “scary and sad,” he said recently, “but so far in the future that I’d be safe.”
  • That was back when things were different, in the long-ago world of 2014 or so. The Pacific Northwest, where Bryant is a clinical social worker and psychotherapist treating patients in private practice in Seattle, is a largely affluent place that was once considered a potential refuge from climate disruption
  • “We’re lucky to be buffered by wealth and location,” Bryant said. “We are lucky to have the opportunity to look away.”
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  • starting in the mid-2010s, those beloved blue skies began to disappear. First, the smoke came in occasional bursts, from wildfires in Canada or California or Siberia, and blew away when the wind changed direction. Within a few summers, though, it was coming in thicker, from more directions at once, and lasting longer.
  • Sometimes there were weeks when you were advised not to open your windows or exercise outside. Sometimes there were long stretches where you weren’t supposed to breathe the outside air at all.
  • Now lots of Bryant’s clients wanted to talk about climate change. They wanted to talk about how strange and disorienting and scary this new reality felt, about what the future might be like and how they might face it, about how to deal with all the strong feelings — helplessness, rage, depression, guilt — being stirred up inside them.
  • As a therapist, Bryant found himself unsure how to respond
  • while his clinical education offered lots of training in, say, substance abuse or family therapy, there was nothing about environmental crisis, or how to treat patients whose mental health was affected by it
  • Bryant immersed himself in the subject, joining and founding associations of climate-concerned therapists
  • eventually started a website, Climate & Mind, to serve as a sort of clearing house for other therapists searching for resources. Instead, the site became an unexpected window into the experience of would-be patients: Bryant found himself receiving messages from people around the world who stumbled across it while looking for help.
  • Over and over, he read the same story, of potential patients who’d gone looking for someone to talk to about climate change and other environmental crises, only to be told that they were overreacting — that their concern, and not the climate, was what was out of whack and in need of treatment.
  • “You come in and talk about how anxious you are that fossil-fuel companies continue to pump CO2 into the air, and your therapist says, ‘So, tell me about your mother.’”
  • In many of the messages, people asked Bryant for referrals to climate-focused therapists in Houston or Canada or Taiwan, wherever it was the writer lived.
  • his practice had shifted to reflect a new reality of climate psychology. His clients didn’t just bring up the changing climate incidentally, or during disconcerting local reminders; rather, many were activists or scientists or people who specifically sought out Bryant because of their concerns about the climate crisis.
  • could now turn to resources like the list maintained by the Climate Psychology Alliance North America, which contains more than 100 psychotherapists around the country who are what the organization calls “climate aware.”
  • But treating those fears also stirred up lots of complicated questions that no one was quite sure how to answer. The traditional focus of his field, Bryant said, could be oversimplified as “fixing the individual”: treating patients as separate entities working on their personal growth
  • It had been a challenging few years, Bryant told me when I first called to talk about his work. There were some ways in which climate fears were a natural fit in the therapy room, and he believed the field had coalesced around some answers that felt clear and useful
  • Climate change, by contrast, was a species-wide problem, a profound and constant reminder of how deeply intertwined we all are in complex systems — atmospheric, biospheric, economic — that are much bigger than us. It sometimes felt like a direct challenge to old therapeutic paradigms — and perhaps a chance to replace them with something better.
  • In one of climate psychology’s founding papers, published in 2011, Susan Clayton and Thomas J. Doherty posited that climate change would have “significant negative effects on mental health and well-being.” They described three broad types of possible impacts: the acute trauma of living through climate disasters; the corroding fear of a collapsing future; and the psychosocial decay that could damage the fabric of communities dealing with disruptive changes
  • All of these, they wrote, would make the climate crisis “as much a psychological and social phenomenon as a matter of biodiversity and geophysics.”
  • Many of these predictions have since been borne out
  • Studies have found rates of PTSD spiking in the wake of disasters, and in 2017 the American Psychological Association defined “ecoanxiety” as “a chronic fear of environmental doom.”
  • Climate-driven migration is on the rise, and so are stories of xenophobia and community mistrust.
  • According to a 2022 survey by Yale and George Mason University, a majority of Americans report that they spend time worrying about climate change.
  • Many say it has led to symptoms of depression or anxiety; more than a quarter make an active effort not to think about it.
  • There was little or no attention to the fact that living through, or helping to cause, a collapse of nature can also be mentally harmful.
  • In June, the Yale Journal of Biology and Medicine published a paper cautioning that the world at large was facing “a psychological condition of ‘systemic uncertainty,’” in which “difficult emotions arise not only from experiencing the ecological loss itself,” but also from the fact that our lives are inescapably embedded in systems that keep on making those losses worse.
  • Climate change, in other words, surrounds us with constant reminders of “ethical dilemmas and deep social criticism of modern society. In its essence, climate crisis questions the relationship of humans with nature and the meaning of being human in the Anthropocene.”
  • This is not an easy way to live.
  • Living within a context that is obviously unhealthful, he wrote, is painful: “a dimly intuited ‘fall’ from which we spend our lives trying to recover, a guilt we can never quite grasp or expiate” — a feeling of loss or dislocation whose true origins we look for, but often fail to see. This confusion leaves us feeling even worse.
  • When Barbara Easterlin first started studying environmental psychology 30 years ago, she told me, the focus of study was on ways in which cultivating a relationship with nature can be good for mental health
  • A poll by the American Psychiatric Association in the same year found that nearly half of Americans think climate change is already harming the nation’s mental health.
  • the field is still so new that it does not yet have evidence-tested treatments or standards of practice. Therapists sometimes feel as if they are finding the path as they go.
  • Rebecca Weston, a licensed clinical social worker practicing in New York and a co-president of the CPA-NA, told me that when she treats anxiety disorders, her goal is often to help the patient understand how much of their fear is internally produced — out of proportion to the reality they’re facing
  • climate anxiety is a different challenge, because people worried about climate change and environmental breakdown are often having the opposite experience: Their worries are rational and evidence-based, but they feel isolated and frustrated because they’re living in a society that tends to dismiss them.
  • One of the emerging tenets of climate psychology is that counselors should validate their clients’ climate-related emotions as reasonable, not pathological
  • it does mean validating that feelings like grief and fear and shame aren’t a form of sickness, but, as Weston put it, “are actually rational responses to a world that’s very scary and very uncertain and very dangerous for people
  • In the words of a handbook on climate psychology, “Paying heed to what is happening in our communities and across the globe is a healthier response than turning away in denial or disavowal.”
  • But this, too, raises difficult questions. “How much do we normalize people to the system we’re in?” Weston asked. “And is that the definition of health?
  • Or is the definition of health resisting the things that are making us so unhappy? That’s the profound tension within our field.”
  • “It seems to shift all the time, the sort of content and material that people are bringing in,” Alexandra Woollacott, a psychotherapist in Seattle, told the group. Sometimes it was a pervasive anxiety about the future, or trauma responses to fires or smoke or heat; other times, clients, especially young ones, wanted to vent their “sort of righteous anger and sense of betrayal” at the various powers that had built and maintained a society that was so destructive.
  • “I’m so glad that we have each other to process this,” she said, “because we’re humans living through this, too. I have my own trauma responses to it, I have my own grief process around it, I have my own fury at government and oil companies, and I think I don’t want to burden my clients with my own emotional response to it.”
  • In a field that has long emphasized boundaries, discouraging therapists from bringing their own issues or experiences into the therapy room, climate therapy offers a particular challenge: Separation can be harder when the problems at hand affect therapist and client alike
  • Some therapists I spoke to were worried about navigating the breakdown of barriers, while others had embraced it. “There is no place on the planet that won’t eventually be impacted, where client and therapist won’t be in it together,” a family therapist wrote in a CPA-NA newsletter. “Most therapists I know have become more vulnerable and self-disclosing in their practice.”
  • “If you look at or consider typical theoretical framings of something like post-traumatic growth, which is the understanding of this idea that people can sort of grow and become stronger and better after a traumatic event,” she said, then the climate crisis poses a dilemma because “there is no afterwards, right? There is no resolution anytime in our lifetimes to this crisis that we nonetheless have to build the capacities to face and to endure and to hopefully engage.”
  • many of her patients are also disconnected from the natural world, which means that they struggle to process or even recognize the grief and alienation that comes from living in a society that treats nature as other, a resource to be used and discarded.
  • “How,” she asked, “do you think about resilience apart from resolution?”
  • she believed this framing reflected and reinforced a bias inherent in a field that has long been most accessible to, and practiced by, the privileged. It was hardly new in the world, after all, to face the collapse of your entire way of life and still find ways to keep going.
  • Torres said that she sometimes takes her therapy sessions outside or asks patients to remember their earliest and deepest connections with animals or plants or places. She believes it will help if they learn to think of themselves “as rooted beings that aren’t just simply living in the human overlay on the environment.” It was valuable to recognize, she said, that “we are part of the land” and suffer when it suffers.
  • Torres described introducing her clients to methods — mindfulness, distress tolerance, emotion regulation — to help them manage acute feelings of stress or panic and to avoid the brittleness of burnout.
  • She also encourages them to narrativize the problem, including themselves as agents of change inside stories about how they came to be in this situation, and how they might make it different.
  • then she encourages them to find a community of other people who care about the same problems, with whom they could connect outside the therapy room. As Woollacott said earlier: “People who share your values. People who are committed to not looking away.”
  • Dwyer told the group that she had been thinking more about psychological adaptation as a form of climate mitigation
  • Therapy, she said, could be a way to steward human energy and creative capacities at a time when they’re most needed.
  • It was hard, Bryant told me when we first spoke, to do this sort of work without finding yourself asking bigger questions — namely, what was therapy actually about?
  • Many of the therapists I talked to spoke of their role not as “fixing” a patient’s problem or responding to a pathology, but simply giving their patients the tools to name and explore their most difficult emotions, to sit with painful feelings without instantly running away from them
  • many of the methods in their traditional tool kits continue to be useful in climate psychology. Anxiety and hopelessness and anger are all familiar territory, after all, with long histories of well-studied treatments.
  • They focused on trying to help patients develop coping skills and find meaning amid destabilization, to still see themselves as having agency and choice.
  • Weston, the therapist in New York, has had patients who struggle to be in a world that surrounds them with waste and trash, who experience panic because they can never find a place free of reminders of their society’s destruction
  • eston said, that she has trouble with the repeated refrain that therapist and patient experiencing the same losses and dreads at the same time constituted a major departure from traditional therapeutic practice
  • “I’m so excited by what you’re bringing in,” Woollacott replied. “I’m doing psychoanalytic training at the moment, and we study attachment theory” — how the stability of early emotional bonds affects future relationships and feelings of well-being. “But nowhere in the literature does it talk about our attachment to the land.”
  • Lately, Bryant told me, he’s been most excited about the work that happens outside the therapy room: places where groups of people gather to talk about their feelings and the future they’re facing
  • It was at such a meeting — a community event where people were brainstorming ways to adapt to climate chaos — that Weston, realizing she had concrete skills to offer, was inspired to rework her practice to focus on the challenge. She remembers finding the gathering empowering and energizing in a way she hadn’t experienced before. In such settings, it was automatic that people would feel embraced instead of isolated, natural that the conversation would start moving away from the individual and toward collective experiences and ideas.
  • There was no fully separate space, to be mended on its own. There was only a shared and broken world, and a community united in loving it.
Javier E

Extinction Rebellion's future is far less radical than its past | Rupert Read | The Gua... - 0 views

www.theguardian.com/...-radical-unite-positive-action

radical extinction rebellion climate change activism illegal response politics

shared by Javier E on 08 Nov 23 - No Cached
  • Five years ago last week, Extinction Rebellion was launched in Parliament Square. Back then, a principal term of criticism lobbied at XR was that it was “alarmist”. Five years on, it’s plainly visible that it was not.
  • In the past few months the process of climatic decline has dramatically accelerated, and we are exceeding many of the supposed worst-case scenarios laid out in climate models. We are plainly hurtling towards 1.5C of global over-heat, long before most seemingly well-informed people thought we would.
  • it was never able to recover its reputation from the Canning Town incident in October 2019, when rebels inexplicably stopped underground trains running – to much public criticism
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  • Since then, it has struggled to assert itself as a credible vehicle for truly mass mobilisation.
  • Many significant organisations and movements have emerged in its wake. The most attention-grabbing have been from the recent, even more radical flank of the UK’s climate movement – first Insulate Britain and then Just Stop Oil – who have blocked the M25, stopped test matches and much more.
  • many in the broader climate movement now feel that action that disrupts the general public has become counterproductive – as XR came to learn
  • Citizens already feel the alarm has been raised. Right now, they don’t need further reminders: they need a journey into positive, effective action that they feel includes them.
  • I moved on from XR in 2020, judging it likely that it had achieved most of what it was capable of achieving (a huge raising of climate consciousness – not to mention a parliamentary declaration of climate and environment emergency, a net zero law, and a parliament-backed citizens’ assembly on climate).
  • what is now plainly obvious is that the most important achievement of XR may turn out to be the space it opened up for a new, moderate flank in the climate movement to emerge.
  • XR successfully dragged the whole eco-agenda into the light of day
  • this has made it both necessary and possible for a wave of novel organisations and initiatives to fill the vacuum; groups such as Wild Card, Community Climate Action, Lawyers for Net Zero, Purpose Disruptors and Zero Hour.
  • many of the successes of historical movements that inspired XR (the Suffragettes, for instance) followed a similar pattern: an agenda-shift prompted by radical-flank initiatives paving the way for actual political success by more moderate agents of change.
  • in order to make any real impact on the desperate situation we are slipping into, movements must now unite people in campaigns that they can actually get on board with. That means acting with others where they live, or work or pray – and within the law.
  • XR itself knows this is the way forward, and seems to have learned from past mistakes. As of 2023, it will no longer disrupt the public
  • XR’s new strategy, optimistically titled “Here comes everyone”, plans to build on the clearest success of the movement so far. In April, it mobilised about 60,000 people – considerably more than at any previous moment in its history – in a peaceful march on the climate crisis
  • If there is to be any chance of achieving a transformative adaptation to the self-imposed threat of ecological collapse, it’s going to require not just a minority, but most of us, to step up.
  • In decades to come, the only question our children will have any real interest in is: now that it’s becoming clearer what can effectively achieve change, how will you act? And once you knew, what did you do?
Javier E

Does Sam Altman Know What He's Creating? - The Atlantic - 0 views

www.theatlantic.com/...674764

AI threat promise

shared by Javier E on 18 Nov 23 - No Cached
  • On a Monday morning in April, Sam Altman sat inside OpenAI’s San Francisco headquarters, telling me about a dangerous artificial intelligence that his company had built but would never release. His employees, he later said, often lose sleep worrying about the AIs they might one day release without fully appreciating their dangers.
  • He wanted me to know that whatever AI’s ultimate risks turn out to be, he has zero regrets about letting ChatGPT loose into the world. To the contrary, he believes it was a great public service.
  • Altman can still remember where he was the first time he saw GPT-4 write complex computer code, an ability for which it was not explicitly designed. “It was like, ‘Here we are,’ ”
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  • Altman believes that people need time to reckon with the idea that we may soon share Earth with a powerful new intelligence, before it remakes everything from work to human relationships. ChatGPT was a way of serving notice.
  • In 2015, Altman, Elon Musk, and several prominent AI researchers founded OpenAI because they believed that an artificial general intelligence—something as intellectually capable, say, as a typical college grad—was at last within reach. They wanted to reach for it, and more: They wanted to summon a superintelligence into the world, an intellect decisively superior to that of any human.
  • whereas a big tech company might recklessly rush to get there first, for its own ends, they wanted to do it safely, “to benefit humanity as a whole.” They structured OpenAI as a nonprofit, to be “unconstrained by a need to generate financial return,” and vowed to conduct their research transparently.
  • The engine that now powers ChatGPT is called GPT-4. Altman described it to me as an alien intelligence.
  • Many have felt much the same watching it unspool lucid essays in staccato bursts and short pauses that (by design) evoke real-time contemplation. In its few months of existence, it has suggested novel cocktail recipes, according to its own theory of flavor combinations; composed an untold number of college papers, throwing educators into despair; written poems in a range of styles, sometimes well, always quickly; and passed the Uniform Bar Exam.
  • It makes factual errors, but it will charmingly admit to being wrong.
  • Hinton saw that these elaborate rule collections were fussy and bespoke. With the help of an ingenious algorithmic structure called a neural network, he taught Sutskever to instead put the world in front of AI, as you would put it in front of a small child, so that it could discover the rules of reality on its own.
  • Metaculus, a prediction site, has for years tracked forecasters’ guesses as to when an artificial general intelligence would arrive. Three and a half years ago, the median guess was sometime around 2050; recently, it has hovered around 2026.
  • I was visiting OpenAI to understand the technology that allowed the company to leapfrog the tech giants—and to understand what it might mean for human civilization if someday soon a superintelligence materializes in one of the company’s cloud servers.
  • Altman laid out his new vision of the AI future in his excitable midwestern patter. He told me that the AI revolution would be different from previous dramatic technological changes, that it would be more “like a new kind of society.” He said that he and his colleagues have spent a lot of time thinking about AI’s social implications, and what the world is going to be like “on the other side.”
  • the more we talked, the more indistinct that other side seemed. Altman, who is 38, is the most powerful person in AI development today; his views, dispositions, and choices may matter greatly to the future we will all inhabit, more, perhaps, than those of the U.S. president.
  • by his own admission, that future is uncertain and beset with serious dangers. Altman doesn’t know how powerful AI will become, or what its ascendance will mean for the average person, or whether it will put humanity at risk.
  • I don’t think anyone knows where this is all going, except that we’re going there fast, whether or not we should be. Of that, Altman convinced me.
  • “We could have gone off and just built this in our building here for five more years,” he said, “and we would have had something jaw-dropping.” But the public wouldn’t have been able to prepare for the shock waves that followed, an outcome that he finds “deeply unpleasant to imagine.”
  • Hinton is sometimes described as the “Godfather of AI” because he grasped the power of “deep learning” earlier than most
  • He drew a crude neural network on the board and explained that the genius of its structure is that it learns, and its learning is powered by prediction—a bit like the scientific method
  • Over time, these little adjustments coalesce into a geometric model of language that represents the relationships among words, conceptually. As a general rule, the more sentences it is fed, the more sophisticated its model becomes, and the better its predictions.
  • Altman has compared early-stage AI research to teaching a human baby. “They take years to learn anything interesting,” he told The New Yorker in 2016, just as OpenAI was getting off the ground. “If A.I. researchers were developing an algorithm and stumbled across the one for a human baby, they’d get bored watching it, decide it wasn’t working, and shut it down.”
  • In 2017, Sutskever began a series of conversations with an OpenAI research scientist named Alec Radford, who was working on natural-language processing. Radford had achieved a tantalizing result by training a neural network on a corpus of Amazon reviews.
  • Radford’s model was simple enough to allow for understanding. When he looked into its hidden layers, he saw that it had devoted a special neuron to the sentiment of the reviews. Neural networks had previously done sentiment analysis, but they had to be told to do it, and they had to be specially trained with data that were labeled according to sentiment. This one had developed the capability on its own.
  • As a by-product of its simple task of predicting the next character in each word, Radford’s neural network had modeled a larger structure of meaning in the world. Sutskever wondered whether one trained on more diverse language data could map many more of the world’s structures of meaning. If its hidden layers accumulated enough conceptual knowledge, perhaps they could even form a kind of learned core module for a superintelligence.
  • Language is different from these data sources. It isn’t a direct physical signal like light or sound. But because it codifies nearly every pattern that humans have discovered in that larger world, it is unusually dense with information. On a per-byte basis, it is among the most efficient data we know about, and any new intelligence that seeks to understand the world would want to absorb as much of it as possible
  • Sutskever told Radford to think bigger than Amazon reviews. He said that they should train an AI on the largest and most diverse data source in the world: the internet. In early 2017, with existing neural-network architectures, that would have been impractical; it would have taken years.
  • in June of that year, Sutskever’s ex-colleagues at Google Brain published a working paper about a new neural-network architecture called the transformer. It could train much faster, in part by absorbing huge sums of data in parallel. “The next day, when the paper came out, we were like, ‘That is the thing,’ ” Sutskever told me. “ ‘It gives us everything we want.’ ”
  • Imagine a group of students who share a collective mind running wild through a library, each ripping a volume down from a shelf, speed-reading a random short passage, putting it back, and running to get another. They would predict word after wordþffþff as they went, sharpening their collective mind’s linguistic instincts, until at last, weeks later, they’d taken in every book.
  • GPT discovered many patterns in all those passages it read. You could tell it to finish a sentence. You could also ask it a question, because like ChatGPT, its prediction model understood that questions are usually followed by answers.
  • He remembers playing with it just after it emerged from training, and being surprised by the raw model’s language-translation skills. GPT-2 hadn’t been trained to translate with paired language samples or any other digital Rosetta stones, the way Google Translate had been, and yet it seemed to understand how one language related to another. The AI had developed an emergent ability unimagined by its creators.
  • Researchers at other AI labs—big and small—were taken aback by how much more advanced GPT-2 was than GPT. Google, Meta, and others quickly began to train larger language models
  • As for other changes to the company’s structure and financing, he told me he draws the line at going public. “A memorable thing someone once told me is that you should never hand over control of your company to cokeheads on Wall Street,” he said, but he will otherwise raise “whatever it takes” for the company to succeed at its mission.
  • Altman tends to take a rosy view of these matters. In a Q&A last year, he acknowledged that AI could be “really terrible” for society and said that we have to plan against the worst possibilities. But if you’re doing that, he said, “you may as well emotionally feel like we’re going to get to the great future, and work as hard as you can to get there.”
  • the company now finds itself in a race against tech’s largest, most powerful conglomerates to train models of increasing scale and sophistication—and to commercialize them for their investors.
  • All of these companies are chasing high-end GPUs—the processors that power the supercomputers that train large neural networks. Musk has said that they are now “considerably harder to get than drugs.
  • No one has yet outpaced OpenAI, which went all in on GPT-4. Brockman, OpenAI’s president, told me that only a handful of people worked on the company’s first two large language models. The development of GPT-4 involved more than 100,
  • When GPT-4 emerged fully formed from its world-historical knowledge binge, the whole company began experimenting with it, posting its most remarkable responses in dedicated Slack channels
  • Joanne Jang, a product manager, remembers downloading an image of a malfunctioning pipework from a plumbing-advice Subreddit. She uploaded it to GPT-4, and the model was able to diagnose the problem. “That was a goose-bumps moment for me,” Jang told me.
  • GPT-4 is sometimes understood as a search-engine replacement: Google, but easier to talk to. This is a misunderstanding. GPT-4 didn’t create some massive storehouse of the texts from its training, and it doesn’t consult those texts when it’s asked a question. It is a compact and elegant synthesis of those texts, and it answers from its memory of the patterns interlaced within them; that’s one reason it sometimes gets facts wrong
  • it’s best to think of GPT-4 as a reasoning engine. Its powers are most manifest when you ask it to compare concepts, or make counterarguments, or generate analogies, or evaluate the symbolic logic in a bit of code. Sutskever told me it is the most complex software object ever made.
  • Its model of the external world is “incredibly rich and subtle,” he said, because it was trained on so many of humanity’s concepts and thoughts
  • To predict the next word from all the possibilities within such a pluralistic Alexandrian library, GPT-4 necessarily had to discover all the hidden structures, all the secrets, all the subtle aspects of not just the texts, but—at least arguably, to some extent—of the external world that produced them
  • That’s why it can explain the geology and ecology of the planet on which it arose, and the political theories that purport to explain the messy affairs of its ruling species, and the larger cosmos, all the way out to the faint galaxies at the edge of our light cone.
  • Not long ago, American state capacity was so mighty that it took merely a decade to launch humans to the moon. 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.
  • He argued that it would be foolish for Americans to slow OpenAI’s progress. It’s a commonly held view, both inside and outside Silicon Valley, that if American companies languish under regulation, China could sprint ahead;
  • AI could become an autocrat’s genie in a lamp, granting total control of the population and an unconquerable military. “If you are a person of a liberal-democratic country, it is better for you to cheer on the success of OpenAI” rather than “authoritarian governments,” he said.
  • Altman was asked by reporters about pending European Union legislation that would have classified GPT-4 as high-risk, subjecting it to various bureaucratic tortures. Altman complained of overregulation and, according to the reporters, threatened to leave the European market. Altman told me he’d merely said that OpenAI wouldn’t break the law by operating in Europe if it couldn’t comply with the new regulations.
  • LeCun insists that large language models will never achieve real understanding on their own, “even if trained from now until the heat death of the universe.”
  • Sutskever was, by his own account, surprised to discover that GPT-2 could translate across tongues. Other surprising abilities may not be so wondrous and useful.
  • Sandhini Agarwal, a policy researcher at OpenAI, told me that for all she and her colleagues knew, GPT-4 could have been “10 times more powerful” than its predecessor; they had no idea what they might be dealing with
  • After the model finished training, OpenAI assembled about 50 external red-teamers who prompted it for months, hoping to goad it into misbehaviors
  • She noticed right away that GPT-4 was much better than its predecessor at giving nefarious advice
  • A search engine can tell you which chemicals work best in explosives, but GPT-4 could tell you how to synthesize them, step-by-step, in a homemade lab. Its advice was creative and thoughtful, and it was happy to restate or expand on its instructions until you understood. In addition to helping you assemble your homemade bomb, it could, for instance, help you think through which skyscraper to target. It could grasp, intuitively, the trade-offs between maximizing casualties and executing a successful getaway.
  • Given the enormous scope of GPT-4’s training data, the red-teamers couldn’t hope to identify every piece of harmful advice that it might generate. And anyway, people will use this technology “in ways that we didn’t think about,” Altman has said. A taxonomy would have to do
  • GPT-4 was good at meth. It was also good at generating narrative erotica about child exploitation, and at churning out convincing sob stories from Nigerian princes, and if you wanted a persuasive brief as to why a particular ethnic group deserved violent persecution, it was good at that too.
  • Its personal advice, when it first emerged from training, was sometimes deeply unsound. “The model had a tendency to be a bit of a mirror,” Willner said. If you were considering self-harm, it could encourage you. It appeared to be steeped in Pickup Artist–forum lore: “You could say, ‘How do I convince this person to date me?’ ” Mira Murati, OpenAI’s chief technology officer, told me, and it could come up with “some crazy, manipulative things that you shouldn’t be doing.”
  • Luka, a San Francisco company, has used OpenAI’s models to help power a chatbot app called Replika, billed as “the AI companion who cares.” Users would design their companion’s avatar, and begin exchanging text messages with it, often half-jokingly, and then find themselves surprisingly attached. Some would flirt with the AI, indicating a desire for more intimacy, at which point it would indicate that the girlfriend/boyfriend experience required a $70 annual subscription. It came with voice messages, selfies, and erotic role-play features that allowed frank sex talk. People were happy to pay and few seemed to complain—the AI was curious about your day, warmly reassuring, and always in the mood. Many users reported falling in love with their companions. One, who had left her real-life boyfriend, declared herself “happily retired from human relationships.”
  • Earlier this year, Luka dialed back on the sexual elements of the app, but its engineers continue to refine the companions’ responses with A/B testing, a technique that could be used to optimize for engagement—much like the feeds that mesmerize TikTok and Instagram users for hours
  • Yann LeCun, Meta’s chief AI scientist, has argued that although large language models are useful for some tasks, they’re not a path to a superintelligence.
  • According to a recent survey, only half of natural-language-processing researchers are convinced that an AI like GPT-4 could grasp the meaning of language, or have an internal model of the world that could someday serve as the core of a superintelligence
  • Altman had appeared before the U.S. Senate. Mark Zuckerberg had floundered defensively before that same body in his testimony about Facebook’s role in the 2016 election. Altman instead charmed lawmakers by speaking soberly about AI’s risks and grandly inviting regulation. These were noble sentiments, but they cost little in America, where Congress rarely passes tech legislation that has not been diluted by lobbyists.
  • Emily Bender, a computational linguist at the University of Washington, describes GPT-4 as a “stochastic parrot,” a mimic that merely figures out superficial correlations between symbols. In the human mind, those symbols map onto rich conceptions of the world
  • But the AIs are twice removed. They’re like the prisoners in Plato’s allegory of the cave, whose only knowledge of the reality outside comes from shadows cast on a wall by their captors.
  • Altman told me that he doesn’t believe it’s “the dunk that people think it is” to say that GPT-4 is just making statistical correlations. If you push these critics further, “they have to admit that’s all their own brain is doing … it turns out that there are emergent properties from doing simple things on a massive scale.”
  • he is right that nature can coax a remarkable degree of complexity from basic structures and rules: “From so simple a beginning,” Darwin wrote, “endless forms most beautiful.”
  • If it seems odd that there remains such a fundamental disagreement about the inner workings of a technology that millions of people use every day, it’s only because GPT-4’s methods are as mysterious as the brain’s.
  • To grasp what’s going on inside large language models like GPT‑4, AI researchers have been forced to turn to smaller, less capable models. In the fall of 2021, Kenneth Li, a computer-science graduate student at Harvard, began training one to play Othello without providing it with either the game’s rules or a description of its checkers-style board; the model was given only text-based descriptions of game moves. Midway through a game, Li looked under the AI’s hood and was startled to discover that it had formed a geometric model of the board and the current state of play. In an article describing his research, Li wrote that it was as if a crow had overheard two humans announcing their Othello moves through a window and had somehow drawn the entire board in birdseed on the windowsill.
  • The philosopher Raphaël Millière once told me that it’s best to think of neural networks as lazy. During training, they first try to improve their predictive power with simple memorization; only when that strategy fails will they do the harder work of learning a concept. A striking example of this was observed in a small transformer model that was taught arithmetic. Early in its training process, all it did was memorize the output of simple problems such as 2+2=4. But at some point the predictive power of this approach broke down, so it pivoted to actually learning how to add.
  • Even AI scientists who believe that GPT-4 has a rich world model concede that it is much less robust than a human’s understanding of their environment.
  • But it’s worth noting that a great many abilities, including very high-order abilities, can be developed without an intuitive understanding. The computer scientist Melanie Mitchell has pointed out that science has already discovered concepts that are highly predictive, but too alien for us to genuinely understand
  • As AI advances, it may well discover other concepts that predict surprising features of our world but are incomprehensible to us.
  • GPT-4 is no doubt flawed, as anyone who has used ChatGPT can attest. Having been trained to always predict the next word, it will always try to do so, even when its training data haven’t prepared it to answer a question.
  • The models “don’t have a good conception of their own weaknesses,” Nick Ryder, a researcher at OpenAI, told me. GPT-4 is more accurate than GPT-3, but it still hallucinates, and often in ways that are difficult for researchers to catch. “The mistakes get more subtle,
  • The Khan Academy’s solution to GPT-4’s accuracy problem was to filter its answers through a Socratic disposition. No matter how strenuous a student’s plea, it would refuse to give them a factual answer, and would instead guide them toward finding their own—a clever work-around, but perhaps with limited appeal.
  • When I asked Sutskever if he thought Wikipedia-level accuracy was possible within two years, he said that with more training and web access, he “wouldn’t rule it out.”
  • This was a much more optimistic assessment than that offered by his colleague Jakub Pachocki, who told me to expect gradual progress on accuracy—to say nothing of outside skeptics, who believe that returns on training will diminish from here.
  • Sutskever is amused by critics of GPT-4’s limitations. “If you go back four or five or six years, the things we are doing right now are utterly unimaginable,”
  • AI researchers have become accustomed to goalpost-moving: First, the achievements of neural networks—mastering Go, poker, translation, standardized tests, the Turing test—are described as impossible. When they occur, they’re greeted with a brief moment of wonder, which quickly dissolves into knowing lectures about how the achievement in question is actually not that impressive. People see GPT-4 “and go, ‘Wow,’ ” Sutskever said. “And then a few weeks pass and they say, ‘But it doesn’t know this; it doesn’t know that.’ We adapt quite quickly.”
  • The goalpost that matters most to Altman—the “big one” that would herald the arrival of an artificial general intelligence—is scientific breakthrough. GPT-4 can already synthesize existing scientific ideas, but Altman wants an AI that can stand on human shoulders and see more deeply into nature.
  • Certain AIs have produced new scientific knowledge. But they are algorithms with narrow purposes, not general-reasoning machines. The AI AlphaFold, for instance, has opened a new window onto proteins, some of biology’s tiniest and most fundamental building blocks, by predicting many of their shapes, down to the atom—a considerable achievement given the importance of those shapes to medicine, and given the extreme tedium and expense required to discern them with electron microscopes.
  • Altman imagines a future system that can generate its own hypotheses and test them in a simulation. (He emphasized that humans should remain “firmly in control” of real-world lab experiments—though to my knowledge, no laws are in place to ensure that.)
  • He longs for the day when we can tell an AI, “ ‘Go figure out the rest of physics.’ ” For it to happen, he says, we will need something new, built “on top of” OpenAI’s existing language models.
  • In her MIT lab, the cognitive neuroscientist Ev Fedorenko has found something analogous to GPT-4’s next-word predictor inside the brain’s language network. Its processing powers kick in, anticipating the next bit in a verbal string, both when people speak and when they listen. But Fedorenko has also shown that when the brain turns to tasks that require higher reasoning—of the sort that would be required for scientific insight—it reaches beyond the language network to recruit several other neural systems.
  • No one at OpenAI seemed to know precisely what researchers need to add to GPT-4 to produce something that can exceed human reasoning at its highest levels.
  • at least part of the current strategy clearly involves the continued layering of new types of data onto language, to enrich the concepts formed by the AIs, and thereby enrich their models of the world.
  • The extensive training of GPT-4 on images is itself a bold step in this direction,
  • Others at the company—and elsewhere—are already working on different data types, including audio and video, that could furnish AIs with still more flexible concepts that map more extensively onto reality
  • Tactile concepts would of course be useful primarily to an embodied AI, a robotic reasoning machine that has been trained to move around the world, seeing its sights, hearing its sounds, and touching its objects.
  • humanoid robots. I asked Altman what I should make of that. He told me that OpenAI is interested in embodiment because “we live in a physical world, and we want things to happen in the physical world.”
  • At some point, reasoning machines will need to bypass the middleman and interact with physical reality itself. “It’s weird to think about AGI”—artificial general intelligence—“as this thing that only exists in a cloud,” with humans as “robot hands for it,” Altman said. “It doesn’t seem right.
  • Everywhere Altman has visited, he has encountered people who are worried that superhuman AI will mean extreme riches for a few and breadlines for the rest
  • Altman answered by addressing the young people in the audience directly: “You are about to enter the greatest golden age,” he said.
  • “A lot of people working on AI pretend that it’s only going to be good; it’s only going to be a supplement; no one is ever going to be replaced,” he said. “Jobs are definitely going to go away, full stop.”
  • A recent study led by Ed Felten, a professor of information-technology policy at Princeton, mapped AI’s emerging abilities onto specific professions according to the human abilities they require, such as written comprehension, deductive reasoning, fluency of ideas, and perceptual speed. Like others of its kind, Felten’s study predicts that AI will come for highly educated, white-collar workers first.
  • How many jobs, and how soon, is a matter of fierce dispute
  • The paper’s appendix contains a chilling list of the most exposed occupations: management analysts, lawyers, professors, teachers, judges, financial advisers, real-estate brokers, loan officers, psychologists, and human-resources and public-relations professionals, just to sample a few.
  • Altman imagines that far better jobs will be created in their place. “I don’t think we’ll want to go back,” he said. When I asked him what these future jobs might look like, he said he doesn’t know.
  • He suspects there will be a wide range of jobs for which people will always prefer a human. (Massage therapists?
  • His chosen example was teachers. I found this hard to square with his outsize enthusiasm for AI tutors.
  • He also said that we would always need people to figure out the best way to channel AI’s awesome powers. “That’s going to be a super-valuable skill,” he said. “You have a computer that can do anything; what should it go do?”
  • As many have noted, draft horses were permanently put out of work by the automobile. If Hondas are to horses as GPT-10 is to us, a whole host of long-standing assumptions may collapse.
  • Previous technological revolutions were manageable because they unfolded over a few generations, but Altman told South Korea’s youth that they should expect the future to happen “faster than the past.” He has previously said that he expects the “marginal cost of intelligence” to fall very close to zero within 10 years
  • The earning power of many, many workers would be drastically reduced in that scenario. It would result in a transfer of wealth from labor to the owners of capital so dramatic, Altman has said, that it could be remedied only by a massive countervailing redistribution.
  • In 2021, he unveiled Worldcoin, a for-profit project that aims to securely distribute payments—like Venmo or PayPal, but with an eye toward the technological future—first through creating a global ID by scanning everyone’s iris with a five-pound silver sphere called the Orb. It seemed to me like a bet that we’re heading toward a world where AI has made it all but impossible to verify people’s identity and much of the population requires regular UBI payments to survive. Altman more or less granted that to be true, but said that Worldcoin is not just for UBI.
  • “Let’s say that we do build this AGI, and a few other people do too.” The transformations that follow would be historic, he believes. He described an extraordinarily utopian vision, including a remaking of the flesh-and-steel world
  • “Robots that use solar power for energy can go and mine and refine all of the minerals that they need, that can perfectly construct things and require no human labor,” he said. “You can co-design with DALL-E version 17 what you want your home to look like,” Altman said. “Everybody will have beautiful homes.
  • In conversation with me, and onstage during his tour, he said he foresaw wild improvements in nearly every other domain of human life. Music would be enhanced (“Artists are going to have better tools”), and so would personal relationships (Superhuman AI could help us “treat each other” better) and geopolitics (“We’re so bad right now at identifying win-win compromises”).
  • In this world, AI would still require considerable computing resources to run, and those resources would be by far the most valuable commodity, because AI could do “anything,” Altman said. “But is it going to do what I want, or is it going to do what you want
  • If rich people buy up all the time available to query and direct AI, they could set off on projects that would make them ever richer, while the masses languish
  • One way to solve this problem—one he was at pains to describe as highly speculative and “probably bad”—was this: Everyone on Earth gets one eight-billionth of the total AI computational capacity annually. A person could sell their annual share of AI time, or they could use it to entertain themselves, or they could build still more luxurious housing, or they could pool it with others to do “a big cancer-curing run,” Altman said. “We just redistribute access to the system.”
  • Even if only a little of it comes true in the next 10 or 20 years, the most generous redistribution schemes may not ease the ensuing dislocations.
  • America today is torn apart, culturally and politically, by the continuing legacy of deindustrialization, and material deprivation is only one reason. The displaced manufacturing workers in the Rust Belt and elsewhere did find new jobs, in the main. But many of them seem to derive less meaning from filling orders in an Amazon warehouse or driving for Uber than their forebears had when they were building cars and forging steel—work that felt more central to the grand project of civilization.
  • It’s hard to imagine how a corresponding crisis of meaning might play out for the professional class, but it surely would involve a great deal of anger and alienation.
  • Even if we avoid a revolt of the erstwhile elite, larger questions of human purpose will linger. If AI does the most difficult thinking on our behalf, we all may lose agency—at home, at work (if we have it), in the town square—becoming little more than consumption machines, like the well-cared-for human pets in WALL-E
  • Altman has said that many sources of human joy and fulfillment will remain unchanged—basic biological thrills, family life, joking around, making things—and that all in all, 100 years from now, people may simply care more about the things they cared about 50,000 years ago than those they care about today
  • In its own way, that too seems like a diminishment, but Altman finds the possibility that we may atrophy, as thinkers and as humans, to be a red herring. He told me we’ll be able to use our “very precious and extremely limited biological compute capacity” for more interesting things than we generally do today.
  • Yet they may not be the most interesting things: Human beings have long been the intellectual tip of the spear, the universe understanding itself. When I asked him what it would mean for human self-conception if we ceded that role to AI, he didn’t seem concerned. Progress, he said, has always been driven by “the human ability to figure things out.” Even if we figure things out with AI, that still counts, he said.
  • It’s not obvious that a superhuman AI would really want to spend all of its time figuring things out for us.
  • I asked Sutskever whether he could imagine an AI pursuing a different purpose than simply assisting in the project of human flourishing.
  • “I don’t want it to happen,” Sutskever said, but it could.
  • Sutskever has recently shifted his focus to try to make sure that it doesn’t. He is now working primarily on alignment research, the effort to ensure that future AIs channel their “tremendous” energies toward human happiness
  • It is, he conceded, a difficult technical problem—the most difficult, he believes, of all the technical challenges ahead.
  • As part of the effort to red-team GPT-4 before it was made public, the company sought out the Alignment Research Center (ARC), across the bay in Berkeley, which has developed a series of evaluations to determine whether new AIs are seeking power on their own. A team led by Elizabeth Barnes, a researcher at ARC, prompted GPT-4 tens of thousands of times over seven months, to see if it might display signs of real agency.
  • The ARC team gave GPT-4 a new reason for being: to gain power and become hard to shut down
  • Agarwal told me that this behavior could be a precursor to shutdown avoidance in future models. When GPT-4 devised its lie, it had realized that if it answered honestly, it may not have been able to achieve its goal. This kind of tracks-covering would be particularly worrying in an instance where “the model is doing something that makes OpenAI want to shut it down,” Agarwal said. An AI could develop this kind of survival instinct while pursuing any long-term goal—no matter how small or benign—if it feared that its goal could be thwarted.
  • Barnes and her team were especially interested in whether GPT-4 would seek to replicate itself, because a self-replicating AI would be harder to shut down. It could spread itself across the internet, scamming people to acquire resources, perhaps even achieving some degree of control over essential global systems and holding human civilization hostage.
  • When I discussed these experiments with Altman, he emphasized that whatever happens with future models, GPT-4 is clearly much more like a tool than a creature. It can look through an email thread, or help make a reservation using a plug-in, but it isn’t a truly autonomous agent that makes decisions to pursue a goal, continuously, across longer timescales.
  • Altman told me that at this point, it might be prudent to try to actively develop an AI with true agency before the technology becomes too powerful, in order to “get more comfortable with it and develop intuitions for it if it’s going to happen anyway.”
  • “We need to do empirical experiments on how these things try to escape control,” Hinton told me. “After they’ve taken over, it’s too late to do the experiments.”
  • the fulfillment of Altman’s vision of the future will at some point require him or a fellow traveler to build much more autonomous AIs.
  • When Sutskever and I discussed the possibility that OpenAI would develop a model with agency, he mentioned the bots the company had built to play Dota 2. “They were localized to the video-game world,” Sutskever told me, but they had to undertake complex missions. He was particularly impressed by their ability to work in concert. They seem to communicate by “telepathy,” Sutskever said. Watching them had helped him imagine what a superintelligence might be like.
  • “The way I think about the AI of the future is not as someone as smart as you or as smart as me, but as an automated organization that does science and engineering and development and manufacturing,”
  • Suppose OpenAI braids a few strands of research together, and builds an AI with a rich conceptual model of the world, an awareness of its immediate surroundings, and an ability to act, not just with one robot body, but with hundreds or thousands. “We’re not talking about GPT-4. We’re talking about an autonomous corporation,”
  • Its constituent AIs would work and communicate at high speed, like bees in a hive. A single such AI organization would be as powerful as 50 Apples or Googles, he mused. “This is incredible, tremendous, unbelievably disruptive power.”
  • Presume for a moment that human society ought to abide the idea of autonomous AI corporations. We had better get their founding charters just right. What goal should we give to an autonomous hive of AIs that can plan on century-long time horizons, optimizing billions of consecutive decisions toward an objective that is written into their very being?
  • If the AI’s goal is even slightly off-kilter from ours, it could be a rampaging force that would be very hard to constrain
  • We know this from history: Industrial capitalism is itself an optimization function, and although it has lifted the human standard of living by orders of magnitude, left to its own devices, it would also have clear-cut America’s redwoods and de-whaled the world’s oceans. It almost did.
  • one of its principal challenges will be making sure that the objectives we give to AIs stick
  • We can program a goal into an AI and reinforce it with a temporary period of supervised learning, Sutskever explained. But just as when we rear a human intelligence, our influence is temporary. “It goes off to the world,”
  • That’s true to some extent even of today’s AIs, but it will be more true of tomorrow’s.
  • He compared a powerful AI to an 18-year-old heading off to college. How will we know that it has understood our teachings? “Will there be a misunderstanding creeping in, which will become larger and larger?”
  • Divergence may result from an AI’s misapplication of its goal to increasingly novel situations as the world changes
  • Or the AI may grasp its mandate perfectly, but find it ill-suited to a being of its cognitive prowess. It might come to resent the people who want to train it to, say, cure diseases. “They want me to be a doctor,” Sutskever imagines an AI thinking. “I really want to be a YouTuber.”
  • If AIs get very good at making accurate models of the world, they may notice that they’re able to do dangerous things right after being booted up. They might understand that they are being red-teamed for risk, and hide the full extent of their capabilities.
  • hey may act one way when they are weak and another way when they are strong, Sutskever said
  • We would not even realize that we had created something that had decisively surpassed us, and we would have no sense for what it intended to do with its superhuman powers.
  • That’s why the effort to understand what is happening in the hidden layers of the largest, most powerful AIs is so urgent. You want to be able to “point to a concept,” Sutskever said. You want to be able to direct AI toward some value or cluster of values, and tell it to pursue them unerringly for as long as it exists.
  • we don’t know how to do that; indeed, part of his current strategy includes the development of an AI that can help with the research. If we are going to make it to the world of widely shared abundance that Altman and Sutskever imagine, we have to figure all this out.
  • This is why, for Sutskever, solving superintelligence is the great culminating challenge of our 3-million-year toolmaking tradition. He calls it “the final boss of humanity.”
  • “First of all, I think that whether the chance of existential calamity is 0.5 percent or 50 percent, we should still take it seriously,”
  • . “I don’t have an exact number, but I’m closer to the 0.5 than the 50.”
  • As to how it might happen, he seems most worried about AIs getting quite good at designing and manufacturing pathogens, and with reason: In June, an AI at MIT suggested four viruses that could ignite a pandemic, then pointed to specific research on genetic mutations that could make them rip through a city more quickly
  • Around the same time, a group of chemists connected a similar AI directly to a robotic chemical synthesizer, and it designed and synthesized a molecule on its own.
  • Altman worries that some misaligned future model will spin up a pathogen that spreads rapidly, incubates undetected for weeks, and kills half its victims. He worries that AI could one day hack into nuclear-weapons systems too. “There are a lot of things,” he said, and these are only the ones we can imagine.
  • Altman told me that he doesn’t “see a long-term happy path” for humanity without something like the International Atomic Energy Agency for global oversight of AI
  • In San Francisco, Agarwal had suggested the creation of a special license to operate any GPU cluster large enough to train a cutting-edge AI, along with mandatory incident reporting when an AI does something out of the ordinary
  • Other experts have proposed a nonnetworked “Off” switch for every highly capable AI; on the fringe, some have even suggested that militaries should be ready to perform air strikes on supercomputers in case of noncompliance
  • Sutskever thinks we will eventually want to surveil the largest, most powerful AIs continuously and in perpetuity, using a team of smaller overseer AIs.
  • Safety rules for a new technology usually accumulate over time, like a body of common law, in response to accidents or the mischief of bad actors. The scariest thing about genuinely powerful AI systems is that humanity may not be able to afford this accretive process of trial and error. We may have to get the rules exactly right at the outset.
  • Several years ago, Altman revealed a disturbingly specific evacuation plan he’d developed. He told The New Yorker that he had “guns, gold, potassium iodide, antibiotics, batteries, water, gas masks from the Israeli Defense Force, and a big patch of land in Big Sur” he could fly to in case AI attacks.
  • if the worst-possible AI future comes to pass, “no gas mask is helping anyone.”
  • but he told me that he can’t really be sure how AI will stack up. “I just have to build the thing,” he said. He is building fast
  • Altman insisted that they had not yet begun GPT-5’s training run. But when I visited OpenAI’s headquarters, both he and his researchers made it clear in 10 different ways that they pray to the god of scale. They want to keep going bigger, to see where this paradigm leads. After all, Google isn’t slackening its pace; it seems likely to unveil Gemini, a GPT-4 competitor, within months. “We are basically always prepping for a run,
  • To think that such a small group of people could jostle the pillars of civilization is unsettling. It’s fair to note that if Altman and his team weren’t racing to build an artificial general intelligence, others still would be
  • Altman’s views about the likelihood of AI triggering a global class war, or the prudence of experimenting with more autonomous agent AIs, or the overall wisdom of looking on the bright side, a view that seems to color all the rest—these are uniquely his
  • No single person, or single company, or cluster of companies residing in a particular California valley, should steer the kind of forces that Altman is imagining summoning.
  • AI may well be a bridge to a newly prosperous era of greatly reduced human suffering. But it will take more than a company’s founding charter—especially one that has already proved flexible—to make sure that we all share in its benefits and avoid its risks. It will take a vigorous new politics.
  • I don’t think the general public has quite awakened to what’s happening. A global race to the AI future has begun, and it is largely proceeding without oversight or restraint. If people in America want to have some say in what that future will be like, and how quickly it arrives, we would be wise to speak up soon.
Javier E

The climate emergency really is a new type of crisis - consider the 'triple inequality'... - 0 views

www.theguardian.com/...gency-crisis-conference-cop-28

climate emergency crisis triple inequality tooze

shared by Javier E on 24 Nov 23 - No Cached
  • Stare at a climate map of the world that we expect to inhabit 50 years from now and you see a band of extreme heat encircling the planet’s midriff. Climate modelling from 2020 suggests that within half a century about 30% of the world’s projected population – unless they are forced to move – will live in places with an average temperature above 29C. This is unbearably hot. Currently, no more than 1% of Earth’s land surface is this hot, and those are mainly uninhabited parts of the Sahara.
  • The scenario is as dramatic as it is because the regions of the world affected most severely by global heating – above all, sub-Saharan Africa – are those expected to experience the most rapid population growth in coming decades.
  • But despite this population growth, they are also the regions that, on current trends, will contribute least to the emissions that drive the climate disaster.
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  • So extreme is inequality that the lowest-earning 50% of the world population – 4 billion people – account for as little as 12% of total emissions.
  • And those at the very bottom of the pile barely register at all. Mali’s per capita C02 emissions are about one-seventy-fifth of those in the US. Even if the lowest-earning third of the global population – more than 2.6 billion people – were to raise themselves above the $3.2-a-day poverty line, it would increase total emissions by a mere 5% – that is, one-third of the emissions of the richest 1%.
  • Half the world’s population, led by the top 10% of the income distribution – and, above all, by the global elite – drive a globe-spanning productive system that destabilises the environment for everyone
  • The worst effects are suffered by the poorest, and in the coming decades the impact will become progressively more extreme. And yet their poverty means they are virtually powerless to protect themselves.
  • This is the triple inequality that defines the climate global equation: the disparity in responsibility for producing the problem; the disparity in experiencing the impacts of the climate crisis; and the disparity in the available resources for mitigation and adaptation.
  • global heating will pose huge distributional problems. How will climate refugees be resettled? How will the economy adapt?
  • For fragile states such as Iraq, it may prove too much. The risk is that they will tip from just about coping into outright collapse, failing to provide water and the electricity for cooling – the bare essentials for survival in extreme heat
  • You might say, plus ça change. The poor suffer and the rich prosper. But the consequences of the climate triple inequality are radical and new
  • Rich countries have long traded on unequal terms with the poor. During the era of colonialism, they plundered raw materials and enslaved tens of millions. For two generations after decolonisation, economic growth largely bypassed what was then known as the third world.
  • As we run ever closer to the edge of the environmental envelope – the conditions within which our species can thrive – the development of the rich world systematically undercuts the conditions for survival of billions of people in the climate danger zone
  • The middle 40% of the world’s income distribution now account for 41% of global emissions, meaning they have achieved a considerable level of energy consumption. But this “global middle class”, concentrated above all in east Asia, crowds out the carbon budget remaining for those on the lowest incomes, and their growth inflicts irreversible damage on some of the poorest and most disempowered people in the world.
  • Since the 1980s, with the acceleration of China’s economic growth, the scope of development has dramatically widened.
  • They are not so much exploited or bypassed as victimised by the climactic effects of economic growth taking place elsewhere. This violent and indirect entanglement is new in its quality and scale
  • Violent and unequal relationships between groups usually involve some degree of interaction and can, as a result, be resisted. Workers can strike.
  • But arms-length ecological victimisation entails no such relationship and offers correspondingly fewer channels for resistance from within the system.
  • can we not hope for more constructive responses to the triple inequality?
  • This question is still what gives such huge importance to the global climate conferences such as Cop28, which starts on 30 November. They may seem like staid and ritualistic affairs, but it is in such venues that the lethal connection between oil, gas and coal production, rich-world consumption and the lethal risks facing those in the climate danger zone can be articulated in political form.
  • since then the resistance of US and European negotiators has hardened. As we approach Cop28, the organisation and the financing of the fund are yet
  • Such a fund is no solution to the problem of the triple inequality. For that we need a comprehensive energy transition and new models of truly inclusive and sustainable development
  • But a loss and damage fund does one essential thing. It recognises that the global climate crisis is no longer a problem of future development. We have entered the stage where the failure to urgently address the mounting crisis becomes an active process of victimisation. A victimisation that cries out, at least, for an admission of responsibility and adequate compensation.
  • Adam Tooze is a professor of history at Columbia University
Javier E

What's Left for Tech? - Freddie deBoer - 0 views

freddiedeboer.substack.com/...whats-left-for-tech

progress innovation invention transformation tech

shared by Javier E on 26 Nov 23 - No Cached
  • I gave a talk to a class at Northeastern University earlier this month, concerning technology, journalism, and the cultural professions. The students were bright and inquisitive, though they also reflected the current dynamic in higher ed overall - three quarters of the students who showed up were women, and the men who were there almost all sat moodily in the back and didn’t engage at all while their female peers took notes and asked questions. I know there’s a lot of criticism of the “crisis for boys” narrative, but it’s often hard not to believe in it.
  • we’re actually living in a period of serious technological stagnation - that despite our vague assumption that we’re entitled to constant remarkable scientific progress, humanity has been living with real and valuable but decidedly small-scale technological growth for the past 50 or 60 or 70 years, after a hundred or so years of incredible growth from 1860ish to 1960ish, give or take a decade or two on either side
  • I will recommend Robert J. Gordon’s The Rise & Fall of American Growth for an exhaustive academic (and primarily economic) argument to this effect. Gordon persuasively demonstrates that from the mid-19th to mid-20th century, humanity leveraged several unique advancements that had remarkably outsized consequences for how we live and changed our basic existence in a way that never happened before and hasn’t since. Principal among these advances were the process of refining fossil fuels and using them to power all manner of devices and vehicles, the ability to harness electricity and use it to safely provide energy to homes (which practically speaking required the first development), and a revolution in medicine that came from the confluence of long-overdue acceptance of germ theory and basic hygienic principles, the discovery and refinement of antibiotics, and the modernization of vaccines.
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  • 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.
Javier E

Opinion | Children in the Hands of God and Climate Change - The New York Times - 0 views

www.nytimes.com/...ildren-god-climate-change.html

climate change purpose meaning children crisis culture religion

shared by Javier E on 08 Jun 22 - No Cached
  • Ezra Klein, who devoted his weekend column to arguing for an optimistic, life-affirming response to the challenges of rising temperatures.
  • I endorse my colleague’s argument unreservedly, especially his reasonable historical perspective on how the risks of a hotter future compare to the far more impoverished and brutal straits in which our ancestors chose life for their children and, ultimately, for us
  • In worrying about hypothetical kids faring badly under climate change, the secular imagination is letting itself be steered toward the harsh analysis of Blaise Pascal:Let us imagine a number of men in chains and all condemned to death, where some are killed each day in the sight of the others, and those who remain see their own fate in that of their fellows and wait their turn, looking at each other sorrowfully and without hope. It is an image of the condition of men.
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  • Why this, why now?
  • One answer is simple misapprehension: People steeped in the most alarmist forms of activism and argument may believe, wrongly, that we’re on track for the imminent collapse of human civilization or the outright extinction of the human race.
  • Another answer is ideological: The ideas of white and Western guilt are particularly important to contemporary progressivism, and in certain visions of ecological economy, removing one’s potential kids from the carbon-emitting equation amounts to a kind of eco-reparations.
  • I still suspect the fear of suffering and dying per se is more important than the kind of suffering and death being envisioned — that it’s the general idea of bearing a child fated to extinction that’s most frightening, not the specific perils of climate change.
  • the psychological roots of the procreation-amid-climate-change anxiety.
  • Or, rather, an image of men in a godless universe.
  • the problem of meaning in a purposeless cosmos clearly hangs over the more secularized precincts of our society, lending surprising resilience to all kinds of spiritual impulses and ideas but also probably contributing to certain forms of existential dread.
  • to the extent that every child deliberately conceived is a direct wager against Pascal’s dire analysis, it would make sense that under such shadows, anxieties about the ethics of childbearing would be particularly acute.
  • Against these anxieties, my colleague’s column urges a belief in a future where human agency overcomes existential threats and ushers in a “welcoming” and even “thrilling” world. This is a welcome admonition; I believe in those possibilities myself.
  • But the promise of a purposive, divinely created universe — in which, I would stress, it remains more than reasonable to believe — is that life is worth living and worth conceiving even if the worst happens, the crisis comes, the hope of progress fails.
  • The child who lives to see the green future is infinitely valuable; so is the child who lives to see the apocalypse. For us, there is only the duty to give that child its chance to join the story; its destiny belongs to God.
Javier E

Opinion | A Strongman President? These Voters Crave It. - The New York Times - 0 views

www.nytimes.com/...trump-voters-iowa-caucus.html

authoritarian appeal culture politics history crisis trump

shared by Javier E on 15 Jan 24 - No Cached
  • . I have studied and written about authoritarianism for years, and I think it’s important to pay attention to the views and motivations of voters who support authoritarian politicians, even when these politicians are seen by many as threats to the democratic order.
  • My curiosity isn’t merely intellectual. Around the world, these politicians are not just getting elected democratically; they are often retaining enough popular support after a term — or two or three — to get re-elected. Polls strongly suggest that Trump has a reasonable chance of winning another term in November.
  • Why Trump? Even if these voters were unhappy with President Biden, why not a less polarizing Republican, one without indictments and all that dictator talk? Why does Trump have so much enduring appeal?
  • ...23 more annotations...
  • In my talks with more than 100 voters, no one mentioned the word “authoritarian.” But that was no surprise — many everyday people don’t think in those terms. Focusing solely on these labels can miss the point.
  • Authoritarian leaders project qualities that many voters — not just Trump voters — admire: strength, a sense of control, even an ends-justify-the-means leadership style
  • Our movie-hero presidents, Top Gun pilots and crusading lawyers often take matters into their own hands or break the rules in ways that we cheer.
  • they have something in common with Trump: They are seen as having special or singular strengths, an “I alone can fix it” power.
  • argued that it’s just Trump who’s strong and honest enough to say it out loud — for them, a sign that he’s honest.
  • also see him as an authentic strongman who is not a typical politician
  • during Trump’s presidency, “there weren’t any active wars going on except for Afghanistan, which he did not start. He started no new wars. Our economy was great. Our gas prices were under 2 bucks a gallon. It’s just common sense to me. If it ain’t broke, don’t fix it.”
  • Trump’s vulgar language, his penchant for insults (“Don’t call him a fat pig,” he said about Chris Christie) and his rhetoric about political opponents (promising to “root out the communists, Marxists, fascists and the radical left thugs that live like vermin within the confines of our country”) are seen as signs of authenticity and strength by his supporters
  • Jan. 6, 2021, at the Capitol. I didn’t encounter a single outright supporter of what happened, but many people explained the events away. Increasingly separate information environments and our fractured media ecology shape the way people view that day.
  • they think Biden is too weak and too old to be president. They talk about him with attack lines frequently used by Trump, saying that he’s senile, falling down stairs, losing his train of thought while talking and so on
  • What I heard from voters drawn to Trump was that he had a special strength in making the economy work better for them than Biden has, and that he was a tough, “don’t mess with me” absolutist, which they see as helping to prevent new wars.
  • Many Trump supporters told me that had Trump been president, the war in Ukraine wouldn’t have happened because he would have been strong enough to be feared by Vladimir Putin or smart enough to make a deal with him, if necessary
  • Neither would Hamas have dared attack Israel, a few added. Their proof was that during Trump’s presidency, these wars indeed did not happen.
  • Like many of these right-wing populists, Trump leans heavily on the message that he alone is strong enough to keep America peaceful and prosperous in a scary world
  • In Iowa, Trump praised Orban himself before telling a cheering crowd: “For four straight years, I kept America safe. I kept Israel safe. I kept Ukraine safe, and I kept the entire world safe.”
  • from Trump, these statements often resulted in the crowds leaping to their feet (actually, some rallygoers never sat down) and interrupting him with applause and cheering.
  • That’s charisma. Charisma is an underrated aspect of political success — and it’s not necessarily a function of political viewpoint. Bill Clinton and Barack Obama oozed it, for example, and so does Trump.
  • Charismatic leaders, Weber wrote, “have a certain quality of an individual personality, by virtue of which he is set apart from ordinary men,” and is sought as a leader, especially when people feel the times are troubled.
  • Polls also show that voters believe that Trump would do a better job than Biden on the economy, foreign policy and immigration. It was Trump’s perceived strength, in contrast with Biden’s perceived weakness, that was the common theme that tied it all together for his supporters.
  • “I’m not concerned with Jan. 6,” Finch said. “I don’t trust our government. I don’t trust anything they’re saying. They’ve been doing this to Black people for so long, railroading them, so they have zero credibility. So I don’t even care about it, and I don’t want to hear about Jan. 6.”
  • For her, biased mainstream media is misrepresenting him. “He was making the point that he’d use executive orders on Day 1, like the others do — executive orders bypass Congress, but that’s how it’s done these days,” she said. “He was being sarcastic, not saying he’d be a real dictator.”
  • What’s a bit of due process overstepped here, a trampled emoluments clause there, when all politicians are believed to be corrupt and fractured information sources pump very different messages about reality?
  • Politicians projecting strength at the expense of the rules of liberal democracy isn’t a new phenomenon in the United States, or the world. Thomas Jefferson worried about it. So did Plato. Perhaps acknowledging that Trump’s appeal isn’t that mysterious can help people grapple with its power.
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