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Javier E

Putin's War in Ukraine Shatters an Illusion in Russia - The New York Times - 0 views

www.nytimes.com/...putin-ukraine-russia.html

putin war russia ukraine illusion totalitarian repression

shared by Javier E on 11 Apr 22 - No Cached
  • Moscow had blossomed into a beautiful, European city, full of meticulously planted parks, bike lanes and parking spaces. Income for the average Russian had risen significantly over the course of the previous decade.
  • At the same time, its political system was drifting ever closer to authoritarianism.
  • By the summer of 2015, his successor, President Vladimir V. Putin, had seemingly made Russia bright and prosperous. The political system he built was increasingly restrictive, but many had learned to live with it.
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  • Many Russian liberals had gone to work for nonprofits and local governments, throwing themselves into community building — making their cities better places to live. A protest movement in 2011 and 2012 had failed, and people were looking for other ways to shape their country. Big politics were hopeless, the thinking went, but one could make a real difference in small acts.
  • There was another side to this bargain: Mr. Putin was seemingly constrained, as well. Political action may have been forbidden, but there was tolerance when it came to other things, for example religion, culture and many forms of expression. His own calculus for the system to run smoothly meant he had to make some room for society.
  • Greg Yudin, a professor of political philosophy at the Moscow School of Social and Economic Sciences, argues it was the political opposition’s success, which began to accelerate in 2018 and 2019, that tipped Mr. Putin toward war.
  • I began to wonder whether Russia was always going to end up here, and we just failed to see it. So I called Yevgeniya Albats, a Russian journalist who had warned of the dangers of a K.G.B. resurgence as early as the 1990s
  • She said 2008 was a turning point, the moment Mr. Putin divorced the West, even invaded another country, and the West barely noticed.
  • “For Putin, it was a clear sign,” she said by telephone last month, “that he can do whatever he wants. And that’s exactly what he started doing. He behaved extremely rationally. He just realized that you don’t care.”
  • “People have a metaphor. They say, ‘We were trying to make some cosmetic changes to our faces, when the cancer was growing and growing in our stomachs.’”
  • “The best comparison is Germany in 1939,” he said. “What kind of democratic movement would you expect there? This is the same. People are basically right now trying to save their lives.”
  • about two-thirds of people nationwide approve of Mr. Putin’s actions in Ukraine.
  • “It is a less-educated, older part of the population, mainly living in rural areas or in small and medium-sized cities, where the population is poorer and more dependent on power,” he said, referring to those who rely on public funds like pensions and state jobs. “They also receive their whole construction of reality exclusively from television.”
  • “if you look at 20 years of our research since Putin came to power, then the peaks of support for Putin and his popularity have always coincided with military campaigns.”
  • Now the bargain is broken, the illusion has shattered. And the country has been pitched into a new phase. But what is it?
  • Mr. Yudin argues that Russia is moving out of authoritarianism — where political passivity and civic disengagement are key features — into totalitarianism, which relies on mass mobilization, terror and homogeneity of beliefs. He believes Mr. Putin is on the brink, but may hesitate to make the shift.
  • “In a totalitarian system, you have to release free energy to start terror,” he said. Mr. Putin, he said, “is a control freak, used to micromanagement.”
  • if the Russian state starts to fail, either through a collapse of Russia’s economy or a complete military defeat in Ukraine, “unleashing terror will be the only way for him to save himself.”
  • Which is why the current situation is so dangerous, for Ukraine and for people in Russia opposed Mr. Putin.
  • “Putin is so convinced that he cannot afford to lose, that he will escalate,” Professor Yudin said. “He has staked everything on it.”
Javier E

The American retirement system is built for the rich - The Washington Post - 0 views

www.washingtonpost.com/...tirement-ira-inequality-budget

retirement system rich wealth IRA benefits inequality politics history policy tax tax shelter

shared by Javier E on 24 Apr 22 - No Cached
  • While loudly and proudly proclaiming that their goal is to nurture nest eggs for the working class, lawmakers have constructed a complex of tax shelters for the well-to-do. The lopsided result is that as of 2019, nearly 29,000 taxpayers had amassed “mega-IRAs” — individual retirement accounts with balances of $5 million or more — while half of American households had no retirement accounts at all.
  • according to the Congressional Budget Office, the top 10th of households reap a larger share of the income tax subsidy for retirement savings than the bottom 80 percent.
  • It’s working out just fine for the financial institutions that manage assets in IRAs and 401(k)s. The combined amount in those vehicles reached $21.6 trillion at the end of 2021 — up fivefold since 2000 — and the more money that pours in, the more that managers collect in fees
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  • University of Virginia law professor Michael Doran — who held tax policy roles at the Treasury Department under Presidents Bill Clinton and George W. Bush — calls the current state of affairs “the great American retirement fraud.”
  • Secure 2.0 would take the fraud to a new level: Its congressional supporters have engaged in Enron-style accounting gimmicks to mask the bill’s effects on deficit
  • from the outset, IRAs were a generous gift to the upper class. At the time, very few low- and middle-income individuals could afford to stash $1,500 in a retirement account each year — median income for U.S. households was $11,100 in 1974 — so the people taking full advantage of the new IRAs tended to be relatively rich
  • since the benefit was structured as a deduction, it was worth more to taxpayers in higher income brackets.
  • In the nearly half-century since, Congress has continually expanded the amount that individuals can pour into tax-deferred savings accounts.
  • Now, the JCT estimates that 401(k)s and other similar defined-contribution plans cost the federal government $200 billion per year.
  • individuals can contribute up to $6,000 per year to an IRA ($7,000 if age 50 or older), plus $20,500 to a 401(k) ($27,000 for 50-year-olds and up), with their employers potentially chipping in to bring the 401(k) total to $61,000 ($67,500 for the over-50 set).
  • In 2018, the most recent year for which data is available, 58 percent of taxpayers with wage income made no contribution to 401(k)-style plans, and less than 4 percent bumped up against the contribution cap.
  • As of 2020, approximately 63 percent of U.S. households had no such accounts.
  • I calculated that an individual who made the maximum 401(k) contributions since 1990, investing exclusively in an S&P 500 index fund, would have more than $7 million in her account today.
  • When JCT released data last summer showing that 28,615 taxpayers had accumulated $5 million or more in IRAs, lawmakers cried foul. Rep. Richard Neal (D-Mass.), who as chairman of the Ways and Means Committee is the top tax writer in the House, lamented the “exploitation” of IRAs. “IRAs are intended to help Americans achieve long-term financial security, not to enable those who already have extraordinary wealth to avoid paying their fair share in taxes,”
  • (The very largest IRAs, like PayPal co-founder Peter Thiel’s reported $5 billion account, result from a different loophole: the ability of founders and early-stage investors to stuff IRAs with start-up stock
  • Forbes revealed more than a decade ago that Thiel and another PayPal co-founder were using their IRAs to shelter entrepreneurial earnings; the Government Accountability Office flagged the IRA-stuffing phenomenon in 2014; and rather than clamping down, lawmakers from both parties sat on their hands.)
  • The Secure 2.0 bill, sponsored by Neal, doubles down on the inequities of the status quo. It will inevitably result in even more of the mega-IRAs that Neal and other Democrats decry.
  • Under current law, taxpayers must begin to take withdrawals from their 401(k)s and traditional IRAs at age 72. (It had been 70½ before Secure 1.0, signed into law by President Donald Trump in 2019, raised the age by a year and a half.
  • Secure 2.0 would bump that up to age 75. The change would mean that taxpayers with supersize IRAs could enjoy three extra years of tax-free growth before they needed to take money out
  • Lower-income retirees wouldn’t benefit because they don’t have the luxury of holding off on withdrawals, which they need to cover living expenses.
  • Another provision would lift the cap on 401(k) catch-up contributions at ages 62, 63 and 64 from $6,500 to $10,000. Factoring in employer matching contributions, that would raise the maximum 401(k) inflow to $71,000 per year.
  • if lawmakers were genuinely concerned about retirement security for people who need it, they wouldn’t start by aiding taxpayers who can afford to save more each year than most Americans earn. The higher limit on catch-up contributions will simply allow high-income taxpayers to race further ahead.
  • The top-weighted benefits of Secure 2.0 might be tolerable if they were offset by other tax increases on the rich — if this were all just moving money from one deep pocket to another. But the items audaciously labeled as “revenue provisions” in the bill generate revenue as real as Monopoly money.
  • The Rothification provisions in Secure 2.0 bring $35 billion of revenue into the 10-year window — ostensibly offsetting the cost of the bill’s giveaways — but the $35 billion is pure make-believe: It comes at the expense of an equivalent amount of revenue down the road.
  • If lawmakers from either party were truly concerned about the plight of low-income retirees, they would focus on strengthening Social Security, which actually provides a safety net for older people, rather than adding more deficit-financed bells and whistles to retirement accounts for the rich.
Javier E

Historians privately warn Biden: America's democracy is on the brink - The Washington Post - 0 views

www.washingtonpost.com/...us-historians-democracy-threat

democracy warning historians US biden history politics crisis

shared by Javier E on 11 Aug 22 - No Cached
  • President Biden paused last week, during one of the busiest stretches of his presidency, for a nearly two-hour private history lesson from a group of academics who raised alarms about the dire condition of democracy at home and abroad.
  • Comparisons were made to the years before the 1860 election when Abraham Lincoln warned that a “house divided against itself cannot stand” and the lead-up to the 1940 election, when President Franklin D. Roosevelt battled rising domestic sympathy for European fascism and resistance to the United States joining World War II.
  • Biden, at these tabletop sessions, often spends hours asking questions and testing assumptions, participants say.
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  • The diversion was, for Biden, part of a regular effort to use outside experts, in private White House meetings, to help him work through his approach to multiple crises facing his presidency
  • The historians Biden has invited to the White House generally take a longer view, placing his presidency in the context of America’s path since its founding.
  • “They really wanted outside-the-box thinking of, is there any way that this war, which will be horrible for everyone involved, can be stopped? Can we stop it? How can we stop it?” Bremmer said. “All of my interactions [with the White House] in the last few years have been uniformly open, constructive and really wanting to get my best sense of where they’re getting it right and where they’re not.”
  • McFaul was among a socially distanced group that met to discuss Ukraine in the East Room earlier this year, along with former diplomat Richard Haass, journalist Fareed Zakaria, analyst Ian Bremmer, former National Security Council adviser Fiona Hill and retired Adm. James G. Stavridis, a former Supreme Allied Commander of NATO.
  • the Aug. 4 gathering was distinguished by its relatively small size and the focus of the participants on the rise of totalitarianism around the world and the threat to democracy at home. They included Biden’s occasional speechwriter Jon Meacham, journalist Anne Applebaum, Princeton professor Sean Wilentz, University of Virginia historian Allida Black and presidential historian Michael Beschloss.
  • Beschloss, a presidential historian who regularly appears on NBC and MSNBC, has recently become more outspoken about what he sees as the need for Biden to battle anti-democratic forces in the country.“I think he has got to talk tonight about the fact that we are all in existential danger of having our democracy and democracies around the world destroyed,”
  • Wilentz, prizewinning author of “The Rise of American Democracy: Jefferson to Lincoln,” has also voiced alarm in recent months about the state of the country. “We’re on the verge of what Hamilton in ‘The Federalist’ called government by brute force,” Wilentz told the Hill last month.
  • Biden has continued to bring up such themes in his public speeches, most recently in a July address to a law enforcement group, where he criticized Trump for taking no immediate action as the rioters he had inspired attacked the U.S. Capitol on Jan. 6, 2021
  • “You can’t be pro-insurrection and pro-democracy,” Biden told the National Organization of Black Law Enforcement Executives. “You can’t be pro-insurrection and pro-American.”
Javier E

(2) What Was the 'Soviet Century'? - by André Forget - Bulwark+ - 0 views

plus.thebulwark.com/...what-was-the-soviet-century

soviet russia culture policy crisis history politics

shared by Javier E on 20 May 23 - No Cached
  • Schlögel makes the argument that the Soviet Union is best understood not primarily as the manifestation of rigid Communist ideology, but as an attempt to transform an agrarian peasant society into a fully modern state
  • “A ‘Marxist theory,’” he writes, “yields very little for an understanding of the processes of change in postrevolutionary Russia. We get somewhat nearer the mark if we explore the scene of a modernization without modernity and of a grandiose civilizing process powered by forces that were anything but civil.” In other words, the interminable debates about whether Lenin was the St. Paul of communism or its Judas Iscariot are beside the point: As a Marxist might put it, the history of the Soviet Union is best explained by material conditions.
  • the story one pieces together from his chapters goes something like this. In the years between 1917 and 1945, the Russian Empire ceased to be a semi-feudal aristocracy governed by an absolutist monarch whose rule rested on divine right, and became an industrialized state. It dammed rivers, electrified the countryside, built massive factories and refineries, collectivized agriculture, raised literacy rates, set up palaces of culture, created a modern military, and made the Soviet Union one of the most powerful countries in the world. In the course of doing so, it sent some of its best minds into exile, crippled its system of food production, set up a massive network of prison camps, watched millions of its citizens die of hunger, killed hundreds of thousands more through slave labor and forced relocation, and executed a generation of revolutionary leaders. It did all this while surviving one of the most brutal civil wars of the twentieth century and the largest land invasion in history.
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  • Over the next forty-five years, it tried to establish a solid basis for growth and prosperity. It launched an ambitious housing program to create living spaces for its massive and rapidly urbanizing population, and to nurture the growth of a Soviet middle class that had access to amenities and luxury goods. At the same time, it systematically blocked this new middle class from exercising its creative faculties outside a narrow range of approved topics and ideological formulas, and it could not reliably ensure that if someone wanted to buy a winter coat in December, they could find it in the shop. It created a state with the resources and technology to provide for the needs of its citizens, but that was unable to actually deliver the goods.
  • The USSR moved forward under the weight of these contradictions, first sprinting, then staggering, until it was dismantled by another revolution, one that was orchestrated by the very class of party elites the first one had produced. But the states that emerged from the Soviet Union in 1991, and the people who lived in them, had undergone a profound change in the process.
  • Schlögel argues that over its sixty-eight years of existence, the Soviet Union did succeed in its goal of creating a “new Soviet person” (novy sovetsky chelovek). But, as he puts it,The new human being was the product not of any faith in a utopia, but of a tumult in which existing lifeworlds were destroyed and new ones born. The “Homo Sovieticus” was no fiction to be casually mocked but a reality with whom we usually only start to engage in earnest when we realize that analyzing the decisions of the Central Committee is less crucial than commonly assumed
  • Placing the emphasis on modernization rather than ideology allows Schlögel to delineate oft-ignored parallels and connections between the USSR and the United States. In the 1930s, especially, there was a great deal of cultural and technical collaboration between U.S. citizens and their Soviet counterparts, which led to what Hans Rogger called “Soviet Americanism” (sovetsky amerikanizm). “In many respects,” Schlögel writes, Soviet citizens “felt closer to America; America had left behind the class barriers and snobbery of Old Europe. America was less hierarchical; you could rise socially, something otherwise possible only in postrevolutionary Russia, where class barriers had broken down and equality had been universally imposed by brute force.”
  • As each rose to a position of global economic, political, and military predominance, the British Empire and the United States divided the world into “white” people, who had certain inalienable rights, and “colored” people who did not. The USSR, rising later and faster, made no such distinctions. An Old Bolshevik who had served the revolution for decades was just as likely to end their life freezing on the taiga as a Russian aristocrat or a Kazakh peasant.
  • Pragmatism and passion were certainly present in the development of the USSR, but they were not the only inputs. Perhaps the crucial factor was the almost limitless cheap labor supplied by impoverished peasants driven off their land, petty criminals, and political undesirables who could be press-ganged into service as part of their “reeducation.”
  • Between 1932 and 1937, the output of the Dalstroy mine went from 511 kilograms of gold to 51.5 tons. The price of this astonishing growth was paid by the bodies of the prisoners, of whom there were 163,000 by the end of the decade. The writer Varlam Shalamov, Schlögel’s guide through this frozen Malebolge, explains it this way:To turn a healthy young man, who had begun his career in the clean winter air of the gold mines, into a goner, all that was needed, at a conservative estimate, was a term of twenty to thirty days of sixteen hours of work per day, with no rest days, with systematic starvation, torn clothes, and nights spent in temperatures of minus sixty degrees in a canvas tent with holes in it, and being beaten by the foremen, the criminal gang masters, and the guards.
  • There is no moral calculus that can justify this suffering. And yet Schlögel lays out the brutal, unassimilable fact about the violence of Soviet modernization in the 1930s: “Without the gold of Kolyma . . . there would have been no build-up of the arms industries before and during the Soviet-German war.” The lives of the workers in Kolyma were the cost of winning the Second World War as surely as those of the soldiers at the front.
  • Of the 250,000 people, most of them prisoners,1 involved in building the 227-kilometer White Sea Canal, around 12,800 are confirmed to have died in the process. Even if the actual number is higher, as it probably is, it is hardly extraordinary when set against the 28,000 people who died in the construction of the 80-kilometer Panama Canal (or the 20,000 who had died in an earlier, failed French attempt to build it), or the tens of thousands killed digging the Suez Canal
  • it is worth noting that slave labor in mines and building projects, forced starvation of millions through food requisitions, and the destruction of traditional lifeworlds were all central features of the colonial projects that underwrote the building of modernity in the U.S. and Western Europe. To see the mass death caused by Soviet policies in the first decades of Communist rule in a global light—alongside the trans-Atlantic slave trade, the genocide of Indigenous peoples in Africa and the Americas, and the great famines in South Asia—is to see it not as the inevitable consequence of socialist utopianism, but of rapid modernization undertaken without concern for human life.
  • But Soviet Americanism was about more than cultural affinities. The transformation of the Soviet Union would have been impossible without American expertise.
  • Curiously enough, Schlögel seems to credit burnout from the era of hypermobilization for the fall of the USSR:Whole societies do not collapse because of differences of opinion or true or false guidelines or even the decisions of party bosses. They perish when they are utterly exhausted and human beings can go on living only if they cast off or destroy the conditions that are killing them
  • it seems far more accurate to say that the USSR collapsed the way it did because of a generational shift. By the 1980s, the heroic generation was passing away, and the new Soviet people born in the post-war era were comparing life in the USSR not to what it had been like in the bad old Tsarist days, but to what it could be like
  • Schlögel may be right that “Pittsburgh is not Magnitogorsk,” and that the U.S. was able to transition out of the heroic period of modernization far more effectively than the USSR. But the problems America is currently facing are eerily similar to those of the Soviet Union in its final years—a sclerotic political system dominated by an aging leadership class, environmental degradation, falling life expectancy, a failed war in Afghanistan, rising tensions between a traditionally dominant ethnic group and freedom-seeking minorities, a population that has been promised a higher standard of living than can be delivered by its economic system.
  • given where things stand in the post-Soviet world of 2023, the gaps tell an important story. The most significant one is around ethnic policy, or what the Soviet Union referred to as “nation-building” (natsional‘noe stroitel‘stvo).
  • In the more remote parts of the USSR, where national consciousness was still in the process of developing, it raised the more profound question of which groups counted as nations. When did a dialect become a language? If a nation was tied to a clearly demarcated national territory, how should the state deal with nomadic peoples?
  • The Bolsheviks dealt with this last problem by ignoring it. Lenin believed that “nationality” was basically a matter of language, and language was simply a medium for communication.
  • Things should be “national in form, socialist in content,” as Stalin famously put it. Tatar schools would teach Tatar children about Marx and Engels in Tatar, and a Kyrgyz novelist like Chinghiz Aitmatov could write socialist realist novels in Kyrgyz.
  • Unity would be preserved by having each nationality pursue a common goal in their own tongue. This was the reason Lenin did not believe that establishing ethno-territorial republics would lead to fragmentation of the Soviet state
  • Despite these high and earnest ideals, the USSR’s nationalities policy was as filled with tragedy as the rest of Soviet history. Large numbers of intellectuals from minority nations were executed during the Great Purge for “bourgeois nationalism,” and entire populations were subject to forced relocation on a massive scale.
  • In practice, Soviet treatment of national minorities was driven not by a commitment to self-determination, but by the interests (often cynical, sometimes paranoid) of whoever happened to be in the Kremlin.
  • The ethnic diversity of the USSR was a fundamental aspect of the lifeworlds of millions of Soviet citizens, and yet Schlögel barely mentions it.
  • As is often the case with books about the Soviet Union, it takes life in Moscow and Leningrad to be representative of the whole. But as my friends in Mari El used to say, “Moscow is another country.”
  • None of this would matter much if it weren’t for the fact that the thirty years since the dismantling of the USSR have been defined in large part by conflicts between and within the successor states over the very questions of nationality and territory raised during the founding of the Soviet Union.
  • in the former lands of the USSR, barely a year has gone since 1991 without a civil war, insurgency, or invasion fought over control of territory or control of the government of that territory in Central Asia, the Caucasus, and Eastern Europe.
  • Russia’s full-scale invasion of Ukraine in February 2022 euthanized any remaining hopes that globalization and integration of trade would establish a lasting peace in Eastern Europe. The sense of possibility that animates Schlögel’s meditations on post-Soviet life—the feeling that the lifeworld of kommunalkas and queues had given way to a more vivacious, more dynamic, more forward-looking society that was bound to sort itself out eventually—now belongs definitively to the past. Something has been broken that cannot be fixed.
  • It is worth noting (Schlögel does not) that of the institutions that survived the dismantling of the Soviet state, the military and intelligence services and the criminal syndicates were the most powerful, in large part because they were so interconnected. In a kind of Hegelian shit-synthesis, the man who established a brutal kind of order after the mayhem of the nineteen-nineties, Vladimir Putin, has deep ties to both. The parts of Soviet communism that ensured a basic standard of living were, for the most part, destroyed in the hideously bungled transition to a market economy. Militarism, chauvinism, and gangster capitalism thrived, as they still do today.
  • Perhaps it is now possible to see the Soviet century as an anomaly in world history, an interregnum during which two power blocks, each a distorted reflection of the other, marshaled the energies of a modernizing planet in a great conflict over the future. The United States and the USSR both preached a universal doctrine, both claimed they were marching toward the promised land.
  • The unipolar moment lasted barely a decade, and we have now fallen through the rotten floor of American hegemony to find ourselves once again in the fraught nineteenth century. The wars of today are not between “smelly little orthodoxies,” but between empires and nations, the powerful states that can create their own morality and the small countries that have to find powerful friends
  • the key difference between 2023 and 1900 is that the process of modernization is, in large parts of the world, complete. What this means for great-power politics in the twenty-first century, we are only beginning to understand.
Javier E

Searching for Our Urban Future in the Ruins of the Past - The New York Times - 0 views

www.nytimes.com/...e-newitz-four-lost-cities.html

cities archaeology urban culture history

shared by Javier E on 15 Sep 22 - No Cached
  • Though Annalee Newitz began work on “Four Lost Cities” long before the Covid-19 pandemic, it’s impossible to read it today without periodic is-this-where-we’re-headed? musings. The book functions as a travel guide to places that no longer exist
  • The chapters on Pompeii, the volcano-buried city in the orbit of ancient Rome, famous for its exquisitely preserved ruins, its brothels and taverns and graffiti, and on Angkor, a metropolis of medieval Cambodia, didn’t fire my imagination so much, perhaps because I already knew something of their histories.
  • Nine thousand years ago, the people of Catalhoyuk, maybe 10,000 of them, lived in cuboid clay houses packed against one another above the Konya Plain of south-central Turkey. Their dwellings were uniform, suggesting a highly regulated society: one or two rooms, painted in white or with red ocher designs. You exited not via a front door but by climbing a ladder to the roof. Much of life was lived up there: cooking, socializing, ambling along sidewalks that ran across the top of the city.
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  • The oldest of the books of the Hebrew Bible date to roughly 3,000 years ago; the pyramids of Egypt go back about 5,000 years. These were not prehumans or near relatives. They were like us: complex, organized, alive to meaning and living at a time beyond reckoning.
  • Ruth Tringham of the University of California, Berkeley, who has devoted years to humanizing the remnants of this city of the dim past by focusing on one skeleton, of a woman she has dubbed Dido. Dido replastered her walls regularly, kept her home swept clean, covered the floor in reed mats and decorated the place with art: clay figures of animals and stylized human females. In other words: much like us.
  • Catalhoyuk was founded by pioneers of urban living. “When the earliest construction began,” Newitz writes, “many people coming to live at Catalhoyuk were only a generation or two removed from nomadism.” It was brand-new, this fixed settlement thing, but it proved remarkably successful. By the time Dido was born, the city was about 600 years old
  • A thousand years ago, meanwhile, East St. Louis, Ill., was the site of an urban sanctuary that archaeologists today call Cahokia. With a population of 30,000, it was larger than Paris was at the time. Like Paris, with its Eiffel Tower and Notre-Dame, it had distinguishing physical landmarks in the form of black earthen pyramids. It sprawled across both sides of the Mississippi River, beckoning visitors from all over the present-day Southern United States.
  • Cahokia seems to have been a place of spiritual pilgrimage, which drew diverse groups of Native American peoples, who spoke different languages and worshiped in various ways but came to share a reverence for this city and its ceremonial customs, which included human sacrifice. Its multiethnic, year-round population apparently serviced the religious pilgrims and, in the off-season, went about their own affairs.
  • Cahokia died not as a result of sudden catastrophe, like Pompeii, but seemingly because it lost its spiritual significance over time. Its people didn’t perish. The pilgrims just stopped coming; the local residents merged with other tribes. There is linguistic and other evidence that the Sioux are their descendants.
  • Newitz devotes space to debunking the popular notion that civilizations of the past “collapse” and become “lost,” pointing instead to indications of gradual change.
  • The operative lesson from the past, at least from this curated offering of former metropolises, seems to be that human culture is a plastic thing. Rather than lamenting the fragility of our current urban structures, we might do better figuring out how to bend and shape society for the future.
  • the effect of reading “Four Lost Cities” was more meditative. This is a long, long, long ride we are on. Much is beyond our control. Humanity trundles on.
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

Russians abandon wartime Russia in historic exodus - The Washington Post - 0 views

www.washingtonpost.com/...russia-diaspora-war-ukraine

russia exodus emigrants history

shared by Javier E on 14 Feb 23 - No Cached
  • Initial data shows that at least 500,000, and perhaps nearly 1 million, have left in the year since the invasion began — a tidal wave on scale with emigration following the 1917 Bolshevik Revolution and the Soviet Union’s collapse in 1991.
  • The huge outflow has swelled existing Russian expatriate communities across the world, and created new ones.
  • Some fled nearby to countries like Armenia and Kazakhstan, across borders open to Russians. Some with visas escaped to Finland, the Baltic states or elsewhere in Europe. Others ventured farther, to the United Arab Emirates, Israel, Thailand, Argentina. Two men from Russia’s Far East even sailed a small boat to Alaska.
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  • The financial cost, while vast, is impossible to calculate. In late December, Russia’s Communications Ministry reported that 10 percent of the country’s IT workers had left in 2022 and not returned.
  • those remaining in the depleted political opposition also faced a choice this year: prison or exile. Most chose exile. Activists and journalists are now clustered in cities such as Berlin and the capitals of Lithuania, Latvia and Georgia.
  • “This exodus is a terrible blow for Russia,” said Tamara Eidelman, a Russian historian who moved to Portugal after the invasion. “The layer that could have changed something in the country has now been washed away.”
  • the influx of Russians into countries such as Kazakhstan and Kyrgyzstan, which have long sent immigrants to Russia, set off political tremors, straining ties between Moscow and the other former Soviet states. Real estate prices in those countries have shot up, causing tensions with local populations.
  • For many Russians choosing to flee, Armenia was a rare easy option. It is one of five ex-Soviet countries that allow Russians to enter with just a national ID — making it a popular destination for former soldiers, political activists and others needing a quick escape.
  • Given the shared religion and use of language, Russians typically do not face animosity or social stigma in Armenia. Obtaining residency permits is also straightforward, and living costs are lower than in the European Union.
  • Yerevan has attracted thousands of IT workers, young creatives and working-class people, including families with children, from across Russia. They have established new schools, bars, cafes and robust support networks.
  • n the courtyard of the “Free School” for Russian children, established in April, Maxim, a construction company manager, was waiting for his 8-year-old son, Timofey. The school started with 40 students in an apartment. Now, there are nearly 200 in a multistory building in the city center.
  • “I did not want to be a murderer in this criminal war,” said Andrei, who is being identified by his first name for safety reasons
  • Like the White Russian emigres of the Bolshevik era and the post-Soviet immigrants of the 1990s, many of those leaving Russia because of the war in Ukraine are probably gone for good.
  • The family has adapted seamlessly to Yerevan. Everyone around them speaks Russian. Maxim works remotely on projects in Russia. Timofey likes his school and is learning Armenian. Maxim said he is sure the family will not return to Russia.
  • Tanya Raspopova, 26, arrived in Yerevan last March, with her husband but without a plan, overwhelmed and frightened.Then she heard that another emigre was seeking partners to set up a bar, a space where Russian expats could come together, and she wanted to help. Tuf, named after the pink volcanic rock common throughout Yerevan, opened its doors within a month.
  • They started with a neon-lit bar and kitchen on the ground floor, which soon expanded into a small courtyard. Then they opened up a second floor, then a third. Upstairs there is now a recording studio, a clothing boutique and a tattoo parlor. On a Wednesday night in January, the place was packed with young Russians and Armenians singing karaoke, drinking cocktails and playing ping-pong. “We have since created such a big community, a big family,” Raspopova said. “Tuf is our new home.”
  • Thousands have chosen the UAE, which did not join Western sanctions and still has direct flights to Moscow, as their new home. Russians enjoy visa-free travel for 90 days, and it is relatively easy to get a national ID, through business or investment, for a longer stay.
  • The high cost of living means there are no activists or journalists. Dubai is a haven, and the go-to playground, for Russian tech founders, billionaires under sanctions, unpenalized millionaires, celebrities, and influencers.
  • Shortly after the invasion, conversations in Moscow’s affluent Patriarch Ponds neighborhood turned to the best Dubai real estate deals, said Natalia Arkhangelskaya, who writes for Antiglyanets, a snarky and influential Telegram blog focused on Russia’s elite. A year later, Russians have ousted Brits and Indians as Dubai’s top real estate buyers, Russian-owned yachts dock at the marina, and private jets zigzag between Dubai and Moscow.
  • Russians can still buy apartments, open bank accounts and snag designer leather goods they previously shopped for in France.
  • The UAE’s embrace of foreign business has lured a stream of Russian IT workers seeking to cut ties with Russia and stay linked to global markets. Start-ups seek financing from state-supported accelerators. Larger firms pursue clients to replace those lost to sanctions.
  • About a dozen people arrived to discuss opportunities in India, which has maintained ties with Russia despite the war. Most expressed bitterness about the Kremlin’s politics and a longing for Moscow when it was an aspiring global hub.
  • “The most important thing for me is to be able to develop international projects and to integrate my kids into a global community, so they grow up in a free environment,”
  • Andrei works as a delivery driver and shares a modest room with two other men in a shelter set up by Kovcheg, a support organization for Russian emigrants. “Before the war, I never followed politics, but after the invasion, I started reading about everything,” Andrei said. “I feel so ashamed about what Russia has done.”
  • “Every extra month leads people to get used to a different country,” she said. “They get a job there, their children go to school, they begin to speak a different language. The longer the war lasts — the longer the dictatorship in the country continues — the fewer people will return.”
  • the expats could become “a repository of relevant skills for a better, freer, modern Russia.” For now, though, Rojansky said, the outflow sends a clear message.
Javier E

China under pressure, a debate | Financial Times - 0 views

www.ft.com/...16-c72c-4579-99da-676aacd48d37

china situation analysis history crisis policy politics economics

shared by Javier E on 24 Mar 22 - No Cached
  • Despite the $300bn mega-bankruptcy of Evergrande, the risk of an immediate 2008-style crisis in China is slight.
  • let us linger over the significance of this point. What China is doing is, after all, staggering. By means of its “three red lines” credit policy, it is stopping in its tracks a gigantic real estate boom. China’s real estate sector, created from scratch since the reforms of 1998, is currently valued at $55tn. That is the most rapid accumulation of wealth in history. It is the financial reflection of the surge in China’s urban population by more than 480mn in a matter of decades.
  • Throughout the history of modern capitalism real estate booms have been associated with credit creation and, as the work of Òscar Jordà, Moritz Schularick and Alan M. Taylor has shown, with major financial crises.
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  • if we are agreed that Beijing looks set to stop the largest property boom in history without unleashing a systemic financial crisis, it is doing something truly remarkable. It is setting a new standard in economic policy.
  • Is this perhaps what policy looks like if it actually takes financial stability seriously? And if we look in the mirror, why aren’t we applauding more loudly?
  • Add to real estate the other domestic factor roiling the Chinese financial markets: Beijing’s remarkable humbling of China’s platform businesses, the second-largest cluster of big tech in the world. That too is without equivalent anywhere else.
  • Beijing’s aim is to ensure that gambling on big tech no longer produces monopolistic rents. Again, as a long-term policy aim, can one really disagree with that?
  • we have two dramatic and deliberate policy-induced shocks of the type for which there is no precedent in the West. Both inflict short-term pain with a view to longer-term social, economic and financial stability.
  • Ultimately political economy determines the conditions for long-run growth. So if you had to bet on a regime, which might actually have what it takes to break a political economy impasse, to humble vested interests and make a “big play” on structural change, which would it be? The United States, the EU or Xi’s China?
  • Beijing’s challenge right now is to manage the fall out from the two most dramatic development policies the world has ever seen, the one-child policy and China’s urbanisation, plus the historic challenge of big tech — less a problem specific to China than the local manifestation of what Shoshana Zuboff calls “surveillance capitalism”.
  • no, Xi’s regime has not yet presented a fully convincing substitute plan. But, as Michael Pettis has forcefully argued, China has options. There is an entire range of policies that Beijing could put in place to substitute for the debt-fuelled infrastructure and housing boom.
  • demography is normally treated as a natural parameter for economic activity. But in China’s case the astonishing fact is that the sudden ageing of its workforce is also a policy-induced challenge. It is a legacy of the one-child policy — the most gigantic and coercive intervention in human reproduction ever undertaken.
  • China needs to spend heavily on renewable energy and power distribution to break its dependence on coal. If it needs more housing, it should be affordable. All of this would generate more balanced growth. 5 per cent? Perhaps not, but certainly healthier and more sustainable.
  • If it has not so far pursued an alternative growth model in a more determined fashion, some of the blame no doubt falls on the prejudices of the Beijing policy elite. But even more significant are surely the entrenched interests of the infrastructure-construction-local government-credit machine, in other words the kind of political economy factors that generally inhibit the implementation of good policy.
  • The problem is only too familiar in the West. In Europe and the US too, such interest group combinations hobble the search for new growth models. In the United States they put in doubt the possibility of the energy transition, the possibility of providing a healthcare system that is fit for purpose and any initiative on trade policy that involves widening market access.
  • First and foremost China needs a welfare state befitting of its economic development.
  • On balance, if you want to be part of history-making economic transformation, China is still the place to be. But it is undeniably shifting gear. And thanks to developments both inside and outside the country, investors will have to reckon with a much more complex picture of opportunity and risk. You are going to need to pick smart and follow the politics and geopolitics closely.
  • If on the other hand you want to invest in the green energy transition — the one big vision of economic development that the world has come up with right now — you simply have to have exposure to China, whether directly or indirectly by way of suppliers to China’s green energy sector. China is where the grand battle over the future of the climate is going to be fought. It will be a huge driver of innovation, capital accumulation and profit, the influence of which will be felt around the world.
  • it is one key area that both the Biden administration and the EU would like to “silo off” from other areas of conflict with China.
  • I worry that we may be too focused on the medium-term. Given the news out of Hong Kong and mainland China, Covid may yet come back to bite us.
  • Here too China is boxed in by its own success. It has successfully pursued a no-Covid policy, but due to the failing of the rest of the world, it has been left to do so in “one country”.
  • Until China finds some way to contain the risks, this is a story to watch. A dramatic Omicron surge across China would upend the entire narrative of the last two years, which is framed by Beijing success in containing the first wave.
Javier E

The Constitution at War With Itself - The Bulwark - 0 views

www.thebulwark.com/onstitution-at-war-with-itself

constitution lincoln freedom Founding US civil war

shared by Javier E on 31 Mar 22 - No Cached
  • the original Constitution had elements that were clearly moral—the rule of law, liberty, and self-government all implied understandings of equality that were in tension with slavery.
  • To play on an analogy Feldman powerfully invokes, if we think of the compromise Constitution and the amended Constitution that came out of the Civil War as akin to the Old and New Testaments, with the first being rooted in a rigid adherence to law and the second being rooted in moral understandings, there is more to the Old Testament than its insistence on law; there is an insistence, in the Prophets in particular, on the spirit and morality the law is meant to serve. To push Feldman’s analogy, the Old Testament had shoots that would grow in the New Testament: the moral and philosophical commitments of the new had roots in the old.
  • The highlight of Feldman’s narrative is an exchange between Hezekiah Ford Douglas, “who had escaped enslavement at fifteen,” and William Howard Day, a free-born black man and graduate of Oberlin College. While Douglas insisted that blacks should not, in Feldman’s words, “acknowledge the legitimacy of a constitutional order based on slavery,” Day insisted that while the government was proslavery we should not confuse this “construction of the Constitution” with “the Constitution itself.” And the Constitution itself, framed to “establish justice” and to protect “liberty,” was best understood as antislavery
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  • Fredrick Douglass drew on both strands of this debate, arguing in 1850 that “Liberty and Slavery” were both in the Constitution, giving us a constitution fundamentally “at war with itself.”
  • the First Inaugural where Lincoln argued that the states did not have a constitutional right to secede, particularly on the grounds that they did not like the results of the election of 1860. The states might have a revolutionary right to dissolve the constitutional order and create a new one, but to secede because Lincoln was elected president when he had in no way altered the terms of the social contract was to evade the rules and break the constitutional order he was obligated to defend.
  • I think Lincoln’s First Inaugural is a powerful and compelling work of constitutional analysis. Lincoln’s message in the First Inaugural was twofold. First, he reiterated the compromise. Each state had a right to “control its own domestic institutions” (meaning, of course, slavery). All representatives had sworn an oath to support “the whole Constitution,” which obligated them to adhere to the fugitive slave clause as part of the compromise and not try to evade its terms by “hypercritical rules” of interpretation
  • But Lincoln went on to insist that no part of the Constitution had been violated. Given this, he argued that secession against a constitutional majority would be “the essence of anarchy.” If states could secede after an election rather than “acquiesce” to a free and fair election, then democratic government by a constitutional majority was no longer possible.
  • Once ballots had settled the issue, states were constitutionally bound to oblige. Appealing to bullets was, as Lincoln put it, a “revolutionary” act that broke the constitutional order he had sworn an oath to uphold.
  • Feldman points out that Lincoln’s insistence on a majority as the sovereign was quite different from the Framers’ understanding of the sovereign, which they tended to treat as the whole people.
  • We might best understand this as a question of who is sovereign within the constitutional order, which is separate from who can act to dissolve the constitutional order itself
  • The most visible element of this debate was whether individual states were sovereign in the latter capacity: Could they exit the constitutional order? And if they could not constitutionally leave, did the national government have power to keep them in?
  • Whether America was a union founded by We the People or was a union founded by sovereign states was the subject of fraught debate in the antebellum period.
  • the prolonged struggle forced Lincoln to confront the fact that the Union could not be brought back together on the terms of the old compromise.
  • Feldman also highlights Lincoln as a theorist of constitutional necessity, as he is forced to confront thorny constitutional issues with no easy answer, which includes a detailed examination of Lincoln’s occasional overreach. Not only was his suspension of the writ of habeas corpus wider than necessary, but it included, Feldman writes, suspending “the basic constitutional right to free speech” and locking up critics of the war far more extensively than is usually acknowledged
  • Emancipation would be made permanent with the Thirteenth Amendment, abolishing slavery and destroying the compromise at the heart of the original Constitution: “The greater drama of the passage of the Thirteenth Amendment was its transformation of the prewar, compromise Constitution into a new Constitution that repudiated the very core of that compromise as it had existed from 1787 to 1861.” This second founding culminated in the Fourteenth and Fifteenth Amendments, inscribing the principles articulated in the Declaration and reaffirmed by the Gettysburg Address into constitutional text.
  • Americans—particularly those Americans who think patriotism depends on a belief in an infallible founding and a perfect Constitution—too easily gloss over how “complicated, contradictory, and fraught it was for Lincoln and the nation to overcome [the old] Constitution and remake it.”
Javier E

Opinion | The Deification of Donald Trump Poses Some Interesting Questions - The New Yo... - 0 views

www.nytimes.com/...god-evangelicals-anointed.html

deification trump evangelical populism Christianist crisis culture politics

shared by Javier E on 17 Jan 24 - No Cached
  • The video, along with Eric Trump’s claim that his father “literally saved Christianity” and the image Donald Trump reposted on Truth Social of Jesus sitting next to him in court, raises a question:
  • Does Trump believe that he is God’s messenger, or are his direct and indirect claims to have a special relationship with God a cynical ploy to win evangelical votes?
  • “Over the years since, there has been a growing chorus of voices saying Trump is the defender of Christians and Christianity. Trump says this himself all the time, ‘When they come after me, they’re really coming after you.’”
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  • Some of Trump’s Christian followers do appear to have grown to see him as a kind of religious figure. He is a savior. I think it began with the sense that he was uniquely committed to saving them from their foes (liberals, Democrats, elites, seculars, illegal immigrants, etc.) and saving America from all that threatens it.
  • In this sense, Gushee continued, “a savior does not have to be a good person but just needs to fulfill his divinely appointed role. Trump is seen by many as actually having done so while president.”
  • This view of Trump is especially strong “in the Pentecostal wing of the conservative Christian world,” Gushee wrote, wherehe is sometimes also viewed as an anointed leader sent by God. “Anointed” here means set apart and especially equipped by God for a holy task. Sometimes the most unlikely people got anointed by God in the Bible. So Trump’s unlikeliness for this role is actually evidence in favor.
  • The prosecutions underway against Trump have been easily interpretable as signs of persecution, which can then connect to the suffering Jesus theme in Christianity. Trump has been able to leverage that with lines like, “They’re not persecuting me. They’re persecuting you.” The idea that he is unjustly suffering and, in so doing, vicariously absorbing the suffering that his followers would be enduring is a powerful way for Trump to be identified with Jesus.
  • Robert P. Jones, the founder and chief executive of P.R.R.I. (formerly the Public Religion Research Institute), contends that Trump’s religious claims are an outright fraud:Trump has given us adequate evidence that he has little religious sensibility or theological acuity. He has scant knowledge of the Bible, he has said that he has never sought forgiveness for his sins, and he has no substantive connection to a church or denomination. He’s not only one of the least religious but also likely one of the most theologically ignorant presidents the country has ever had.
  • If people wanted to make him out to be savior, anointed one and agent of God, he would not object
  • Lacking any inner spiritual or moral compass that would seek to deflect overinflated or even idolatrous claims about himself, he instead reposted their artwork and videos and so on. Anyone truly serious about the Christian faith would deflect claims to being a savior or anointed one, but he did not have such brakes operating.
  • there are evangelicals of the charismatic and Pentecostal variety — the so-called New Apostolic Reformation or Independent Network Charismatics — who believe that Donald Trump is an agent of God to rescue the United States from the atheistic, even demonic, secularists and progressives who want to destroy the country by advancing abortion, gay marriage, wokeness, transgenderism, etc.
  • “This whole movement,” Fea wrote,is rooted in prophecy. The prophets speak directly to God and receive direct messages from him about politics. They think that politics is a form of spiritual warfare and believe that God is using Donald Trump to help wage this war. (God can even use sinners to accomplish his will — there are a lot of biblical examples of this, they say.)
  • As far as Trump goes, Fea continued, “he probably thinks these charismatics and Pentecostals are crazy. But if they are going to tell him he is God’s anointed one, he will gladly accept the title and use it if it wins him votes. He will happily accept their prayers because it is politically expedient.”
  • The more interesting case, Gushee wrote,is Trump himself. I accept as given that he entered politics as the amoral, worldly, narcissistic New York businessman that he appeared to be. Like all G.O.P. politicians, he knew he would have to win over the conservative Christian voting bloc so central to the party.
  • Trump, Jones added in an email, “almost certainly lacks the kind of religious sensibility or theological framework necessary to personally grasp what it would even mean to be a Jesus-like, messianic figure.”
  • According to Jones, in order to rationalize this quasi-deification of Trump — despite “his crassness and vulgarity, divorces, mocking of disabled people, his overt racism and a determination by a court that he sexually abused advice columnist E. Jean Carroll” — white evangelicals refer not to Jesus but the Persian King Cyrus from the book of Isaiah in the Hebrew Bible.”
  • Cyrus is the model of an ungodly king who nonetheless frees a group of Jews who are held captive in Babylon. It took white evangelicals themselves a while to settle on an explanation for their support, but this characterization of Trump was solidified in a 2018 film that came out just before the 2018 midterms entitled “The Trump Prophecy,” which portrayed Trump as the only leader who could save America from certain cultural collapse.
  • According to Jones, “White evangelicals’ stalwart, enduring support for Trump tells us much more about who they see themselves to be than who they think Trump is. As I argued in my most recent book, ‘The Hidden Roots of White Supremacy,’” Jones continued in his email, “the primary force animating white evangelical Protestant politics — one that has been with us since before the founding of the Republic — is the vision of America as a nation primarily of, by and for white Christians.”
  • “a majority (56 percent) of white evangelical Protestants, compared to only one-third of all Americans, believed that ‘God intended America to be a new promised land where European Christians could create a society that could be an example to the rest of the world.’”
  • Jones argued that Trump’s declaration on the Ellipse on Jan. 6, 2021 — “We fight like hell. And if you don’t fight like hell, you’re not going to have a country anymore” — was a direct appeal “to this sense of divine entitlement of those who believed this mythology strongly enough to engage in a violent insurrection.”
  • “White evangelicals,” Guth found, “are invariably the most populist: more likely to favor strong leadership (even when that means breaking the rules), to distrust government, to see the country on the wrong track and to think that the majority should always rule (and minorities adapt).”
  • Guth also found thatanother salient trait of populist politics is the willingness to ignore democratic civility. We constructed a “rough politics” score from three A.N.E.S. items: whether protesters deserve what they get if they are hurt in demonstrating, whether the country would be better off if it got rid of rotten apples and whether people are “too sensitive” about political discourse. Here the usual pattern recurs: Evangelical affiliation, evangelical identity and biblical literalism predicts agreement with those assertions, while religious minorities, secular folks and progressives tend to demur.
  • Guth wrote that his “findings help us understand what many have struggled to comprehend: How can white evangelical Protestants continue to provide strong support for President Donald Trump, whose personal values and behavior trample on the biblical and ethical standards professed by that community?”
  • The most common explanation, according to Guth,is that white evangelicals have a transactional relationship with the president: As long as he nominates conservative jurists and makes appropriate gestures on abortion and sexual politics, they will support him.
  • “The evidence here,” he wrote, “suggests a more problematic answer”:White evangelicals share with Trump a multitude of attitudes, including his hostility toward immigrants, his Islamophobia, his racism and nativism, as well as his political style, with its nasty politics and assertion of strong, solitary leadership. Indeed, Trump’s candidacy may have “authorized” for the first time the widespread expression of such attitudes.
  • The pervasive populism of white evangelical laity not only helps explain their support for President Trump but suggests powerful barriers to influence by cosmopolitan internationalist evangelical elites, who want to turn the community in a different direction. As hostile responses to efforts of antipopulist evangelicals like Michael Gerson, Russell Moore, David Platt and many others indicate, there is currently a very limited market for such alternative perspectives among the rank and file.
  • Nor does cosmopolitan or cooperative internationalism find much purchase among local evangelical clergy. Analysis of the 2017 Cooperative Clergy Survey shows that ministers from several evangelical denominations, especially the large Southern Baptist Convention and Assemblies of God, exhibit exactly the same populist traits seen here in white evangelical laity, but in more pronounced form: strong Islamophobia, Christian nationalism, extreme moral traditionalism, opposition to trade pacts, militaristic attitudes, resistance to political compromise and climate change denial, among others.
  • In other words, conservative populism, with all its antidemocratic implications, has taken root in America. What we don’t know is for how long — or how much damage it will do.
Javier E

The Rise and Fall of BNN Breaking, an AI-Generated News Outlet - The New York Times - 0 views

www.nytimes.com/...reaking-ai-generated-news.html

AI news publishing fraud

shared by Javier E on 12 Jun 24 - No Cached
  • His is just one of many complaints against BNN, a site based in Hong Kong that published numerous falsehoods during its short time online as a result of what appeared to be generative A.I. errors.
  • During the two years that BNN was active, it had the veneer of a legitimate news service, claiming a worldwide roster of “seasoned” journalists and 10 million monthly visitors, surpassing the The Chicago Tribune’s self-reported audience. Prominent news organizations like The Washington Post, Politico and The Guardian linked to BNN’s stories
  • Google News often surfaced them, too
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  • A closer look, however, would have revealed that individual journalists at BNN published lengthy stories as often as multiple times a minute, writing in generic prose familiar to anyone who has tinkered with the A.I. chatbot ChatGPT.
  • How easily the site and its mistakes entered the ecosystem for legitimate news highlights a growing concern: A.I.-generated content is upending, and often poisoning, the online information supply.
  • The websites, which seem to operate with little to no human supervision, often have generic names — such as iBusiness Day and Ireland Top News — that are modeled after actual news outlets. They crank out material in more than a dozen languages, much of which is not clearly disclosed as being artificially generated, but could easily be mistaken as being created by human writers.
  • Now, experts say, A.I. could turbocharge the threat, easily ripping off the work of journalists and enabling error-ridden counterfeits to circulate even more widely — as has already happened with travel guidebooks, celebrity biographies and obituaries.
  • The result is a machine-powered ouroboros that could squeeze out sustainable, trustworthy journalism. Even though A.I.-generated stories are often poorly constructed, they can still outrank their source material on search engines and social platforms, which often use A.I. to help position content. The artificially elevated stories can then divert advertising spending, which is increasingly assigned by automated auctions without human oversight.
  • NewsGuard, a company that monitors online misinformation, identified more than 800 websites that use A.I. to produce unreliable news content.
  • Low-paid freelancers and algorithms have churned out much of the faux-news content, prizing speed and volume over accuracy.
  • Former employees said they thought they were joining a legitimate news operation; one had mistaken it for BNN Bloomberg, a Canadian business news channel. BNN’s website insisted that “accuracy is nonnegotiable” and that “every piece of information underwent rigorous checks, ensuring our news remains an undeniable source of truth.”
  • this was not a traditional journalism outlet. While the journalists could occasionally report and write original articles, they were asked to primarily use a generative A.I. tool to compose stories, said Ms. Chakraborty and Hemin Bakir, a journalist based in Iraq who worked for BNN for almost a year. They said they had uploaded articles from other news outlets to the generative A.I. tool to create paraphrased versions for BNN to publish.
  • Mr. Chahal’s evangelism carried weight with his employees because of his wealth and seemingly impressive track record, they said. Born in India and raised in Northern California, Mr. Chahal made millions in the online advertising business in the early 2000s and wrote a how-to book about his rags-to-riches story that landed him an interview with Oprah Winfrey.
  • Mr. Chahal told Mr. Bakir to focus on checking stories that had a significant number of readers, such as those republished by MSN.com.Employees did not want their bylines on stories generated purely by A.I., but Mr. Chahal insisted on this. Soon, the tool randomly assigned their names to stories.
  • This crossed a line for some BNN employees, according to screenshots of WhatsApp conversations reviewed by The Times, in which they told Mr. Chahal that they were receiving complaints about stories they didn’t realize had been published under their names.
  • According to three journalists who worked at BNN and screenshots of WhatsApp conversations reviewed by The Times, Mr. Chahal regularly directed profanities at employees and called them idiots and morons. When employees said purely A.I.-generated news, such as the Fanning story, should be published under the generic “BNN Newsroom” byline, Mr. Chahal was dismissive.“When I do this, I won’t have a need for any of you,” he wrote on WhatsApp.Mr. Bakir replied to Mr. Chahal that assigning journalists’ bylines to A.I.-generated stories was putting their integrity and careers in “jeopardy.”
  • This was a strategy that Mr. Chahal favored, according to former BNN employees. He used his news service to exercise grudges, publishing slanted stories about a politician from San Francisco he disliked, Wikipedia after it published a negative entry about BNN Breaking and Elon Musk after accounts belonging to Mr. Chahal, his wife and his companies were suspended o
  • The increasing popularity of programmatic advertising — which uses algorithms to automatically place ads across the internet — allows A.I.-powered news sites to generate revenue by mass-producing low-quality clickbait content
  • Experts are nervous about how A.I.-fueled news could overwhelm accurate reporting with a deluge of junk content distorted by machine-powered repetition. A particular worry is that A.I. aggregators could chip away even further at the viability of local journalism, siphoning away its revenue and damaging its credibility by contaminating the information ecosystem.
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