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Javier E

Opinion | We Are Suddenly Taking On China and Russia at the Same Time - The New York Times - 0 views

  • “The U.S. has essentially declared war on China’s ability to advance the country’s use of high-performance computing for economic and security gains,” Paul Triolo, a China and tech expert at Albright Stonebridge, a consulting firm, told The Financial Times. Or as the Chinese Embassy in Washington framed it, the U.S. is going for “sci-tech hegemony.”
  • regulations issued Friday by President Biden’s Commerce Department are a formidable new barrier when it comes to export controls that will block China from being able to buy the most advanced semiconductors from the West or the equipment to manufacture them on its own.
  • The new regulations also bar any U.S. engineer or scientist from aiding China in chip manufacturing without specific approval, even if that American is working on equipment in China not subject to export controls. The regs also tighten the tracking to ensure that U.S.-designed chips sold to civilian companies in China don’t get into the hands of China’s military
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  • maybe most controversially, the Biden team added a “foreign direct product rule” that, as The Financial Times noted, “was first used by the administration of Donald Trump against Chinese technology group Huawei” and “in effect bars any U.S. or non-U.S. company from supplying targeted Chinese entities with hardware or software whose supply chain contains American technology.”
  • This last rule is huge, because the most advanced semiconductors are made by what I call “a complex adaptive coalition” of companies from America to Europe to Asia
  • The more we push the boundaries of physics and materials science to cram more transistors onto a chip to get more processing power to continue to advance artificial intelligence, the less likely it is that any one company, or country, can excel at all the parts of the design and manufacturing process. You need the whole coalition
  • The reason Taiwan Semiconductor Manufacturing Company, known as TSMC, is considered the premier chip manufacturer in the world is that every member of this coalition trusts TSMC with its most intimate trade secrets, which it then melds and leverages for the benefit of the whole.
  • “We do not make in the U.S. any of the chips we need for artificial intelligence, for our military, for our satellites, for our space programs” — not to mention myriad nonmilitary applications that power our economy. The recent CHIPS Act, she said, was our “offensive initiative” to strengthen our whole innovation ecosystem so more of the most advanced chips will be made in the U.S.
  • It managed to pilfer a certain amount of chip technology, including 28 nanometer technology from TSMC back in 2017.
  • Because China is not trusted by the coalition partners not to steal their intellectual property, Beijing is left trying to replicate the world’s all-star manufacturing chip stack on its own with old technologies
  • China can’t mass produce these chips with precision without ASML’s latest technology — which is now banned from the country.
  • Raimondo rejects the idea that the new regulations are tantamount to an act of war.
  • “The U.S. was in an untenable position,” she told me in her office. “Today we are purchasing 100 percent of our advanced logic chips from abroad — 90 percent from TSMC in Taiwan and 10 percent from Samsung in Korea.” (That IS pretty crazy, but it IS true.)
  • Until recently, China’s premier chip maker, Semiconductor Manufacturing International Company, had been thought to be stuck at mostly this chip level,
  • Imposing on China the new export controls on advanced chip-making technologies, she said, “was our defensive strategy. China has a strategy of military-civil fusion,” and Beijing has made clear “that it intends to become totally self-sufficient in the most advanced technologies” to dominate both the civilian commercial markets and the 21st century battlefield. “We cannot ignore China’s intentions.”
  • So, to protect ourselves and our allies — and all the technologies we have invented individually and collectively — she added, “what we did was the next logical step, to prevent China from getting to the next step.” The U.S. and its allies design and manufacture “the most advanced supercomputing chips, and we don’t want them in China’s hands and be used for military purposes.”
  • Our main focus, concluded Raimondo, “is playing offense — to innovate faster than the Chinese. But at the same time, we are going to meet the increasing threat they are presenting by protecting what we need to. It is important that we de-escalate where we can and do business where we can. We don’t want a conflict. But we have to protect ourselves with eyes wide open.”
  • China’s state-directed newspaper Global Times editorialized that the ban would only “strengthen China’s will and ability to stand on its own in science and technology.” Bloomberg quoted an unidentified Chinese analyst as saying “there is no possibility of reconciliation.”
Javier E

The real meaning of Tikkun Olam - 0 views

  • the idea of tikkun olam was utilized in very specific situations in order to avert particular unintended consequences.
  • Traditional rules were adjusted so as to prevent certain undesirable outcomes.  This has nothing to do with the popular notion of tikkun olam — “social justice” to “repair” the world.
  • Rather, tikkun olam as discussed in the Talmud relates to individual actions in selected circumstances — and adjustments in the rules to avoid potentially perverse results for the community. 
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  • In the 16th century, tikkun olam became part of Lurianic Kabbalah, but this was a very different idea, as well.  As Halkin explains, while the Lurianic tikkun “calls for mending the entire cosmos …  these efforts … are strictly spiritual, involving prayer, religious ritual, and meditation.”
  • Jonathan Krasner, in his 2014 article “The Place of Tikkun Olam in American Jewish Life,” identifies three distinct groups that transformed tikkun olam over the past 75 years.  The first were theologians who, in the aftermath of the Holocaust, looked for ways to re-imagine the covenantal relationship between humans and God.
  • Under tikkun olam, as used by these Jewish leaders, “the Jews were not merely partners with God but ‘senior partners in action,’ entirely responsible for the execution of the covenant.”
  • abbi Artz, in a 1967 address to Jewish educators, proclaimed, “The ultimate goal of man’s partnership with God is Tikkun olam.”
  • Beginning in the 1970’s, a number of progressive rabbis and community leaders began appropriating tikkun olam for their publications and programs
  • “The platform asserted that ‘many of us base our convictions on the Jewish religious concept of tikun olam (the just ordering of human society and the world) and the prophetic traditions of social justice.’”
  • In the early ’90’s, says Krasner, “others took up the effort to shape a progressive Jewish politics around tikkun olam.”  Among these was Michael Lerner, who founded Tikkun, a left-wing alternative to Commentary magazine.  “Lerner hoped to energize alienated Jews with a model of Judaism that rejected the crass materialism and hypocrisy of middle class suburban Jewish life in favor of a Jewishly grounded ethic of social justice.”
  • Today, tikkun olam is part of modern, liberal discourse, even though its popularized connotation has little to do with its traditional meaning. 
  • “It has become a watchword for any value, even if a particular value — worthwhile as it may be — is not rooted in Jewish tradition.”
  • This brings us back to the tradition — the Talmud — in which tikkun olam served a very important, but specific, role when applying rules of morality and justice in certain circumstances.
  • The Talmud, I’ve learned, is more than amazing — parsing in minute detail the many moral and judicial issues that inevitably come up in the normal course of life.  The focus is primarily on what’s right and just for those directly involved.
  • In several limited instances, the rabbis had a wider perspective to keep an eye on the effects on the community as a whole and to adjust specific rules as needed — mi’pnei tikkun ha-olam
  • The idea of “social justice” may, for many, still be worthwhile, but, according to the Talmud, tikkun olam it is not.
Javier E

The Radical Strategy Behind Trump's Promise to 'Go After' Biden - The New York Times - 0 views

  • Mr. Trump’s message was that the Justice Department charged him only because he is Mr. Biden’s political opponent, so he would invert that supposed politicization. In reality, under Attorney General Merrick Garland, two Trump-appointed prosecutors are already investigating Mr. Biden’s handling of classified documents and the financial dealings of his son, Hunter.
  • But by suggesting the current prosecutors investigating the Bidens were not “real,” Mr. Trump appeared to be promising his supporters that he would appoint an ally who would bring charges against his political enemies regardless of the facts.
  • Mr. Trump’s promise fits into a larger movement on the right to gut the F.B.I., overhaul a Justice Department conservatives claim has been “weaponized” against them and abandon the norm — which many Republicans view as a facade — that the department should operate independently from the president.
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  • Mr. Clark and Mr. Vought are promoting a legal rationale that would fundamentally change the way presidents interact with the Justice Department. They argue that U.S. presidents should not keep federal law enforcement at arm’s length but instead should treat the Justice Department no differently than any other cabinet agency.
  • They are condemning Mr. Biden and Democrats for what they claim is the politicization of the justice system, but at the same time pushing an intellectual framework that a future Republican president might use to justify directing individual law enforcement investigations.
  • Like other conservatives, Mr. Clark adheres to the so-called unitary executive theory, which holds that the president of the United States has the power to directly control the entire federal bureaucracy and Congress cannot fracture that control by giving some officials independent decision-making authority.
  • Mr. Trump often exploited gaps between what the rules technically allow and the norms of self-restraint that guided past presidents of both parties. In 2021, House Democrats passed the Protecting Our Democracy Act, a legislative package intended to codify numerous previous norms as law, including requiring the Justice Department to give Congress logs of its contacts with White House officials. But Republicans portrayed the bill as an attack on Mr. Trump and it died in the Senate.
  • The modern era for the Justice Department traces back to the Watergate scandal and the period of government reforms that followed President Richard M. Nixon’s abuses. The norm took root that the president can set broad policies for the Justice Department — directing it to put greater resources and emphasis on particular types of crimes or adopting certain positions before the Supreme Court — but should not get involved in specific criminal case decisions absent extraordinary circumstances, such as if a case has foreign policy implications.
  • Since then, it has become routine at confirmation hearings for attorney general nominees to have senators elicit promises that they will resist any effort by the president to politicize law enforcement by intruding on matters of prosecutorial judgment and discretion.
  • Mr. Trump’s top rival for the Republican nomination, Gov. Ron DeSantis of Florida, also rejects the norm that the Justice Department should be independent.
  • “Republican presidents have accepted the canard that the D.O.J. and F.B.I. are — quote — ‘independent,’” Mr. DeSantis said in May on Fox News. “They are not independent agencies. They are part of the executive branch. They answer to the elected president of the United States.”
  • The most powerful conservative think tanks are working on plans that would go far beyond “reforming” the F.B.I., even though its Senate-confirmed directors in the modern era have all been Republicans. They want to rip it up and start again.
  • “The F.B.I. has become a political weapon for the ruling elite rather than an impartial, law-enforcement agency,” said Kevin D. Roberts, the president of the Heritage Foundation, a mainstay of the conservative movement since the Reagan years. He added, “Small-ball reforms that increase accountability within the F.B.I. fail to meet the moment. The F.B.I. must be rebuilt from the ground up — reforming it in its current state is impossible.”
  • Conservative media channels and social media influencers have been hammering the F.B.I. and the Justice Department for months since the F.B.I. search of Mar-a-Lago, following a playbook they honed while defending Mr. Trump during the investigation into whether his campaign conspired with the Russian government to influence the 2016 election.
  • On its most-watched nighttime programs, Fox News has been all-in on attacks against the Justice Department, including the accusation, presented without evidence, that Mr. Biden had directed the prosecution of Mr. Trump. As the former president addressed his supporters on Tuesday night at his Bedminster club, Fox News displayed a split screen — Mr. Trump on the right and Mr. Biden on the left. The chyron on the bottom of the screen read: “Wannabe dictator speaks at the White House after having his political rival arrested.”
  • As president, Mr. Trump saw his attorney general as simply another one of his personal lawyers. He was infuriated when his first attorney general, Jeff Sessions, recused himself from the Russia investigation — and then refused to reverse that decision to shut down the case.
  • After firing Mr. Sessions, Mr. Trump believed he had found someone who would do his bidding in William P. Barr, who had been in the role during George H.W. Bush’s presidency
  • Under Mr. Barr, the Justice Department overruled career prosecutors’ recommendations on the length of a sentence for Mr. Trump’s longest-serving political adviser, Roger J. Stone Jr., and sought to shut down a case against Mr. Trump’s first national security adviser, Michael Flynn, who had already pleaded guilty. Both cases stemmed from the Russia investigation.
  • But when Mr. Trump wanted to use the Justice Department to stay in power after he lost the election, he grew enraged when Mr. Barr refused to comply. Mr. Barr ultimately resigned in late 2020.
Javier E

Opinion | Reflections on Stephen L. Carter's 1991 Book, 'Reflections of an Affirmative ... - 0 views

  • In 1991, Stephen L. Carter, a professor at Yale Law School, began his book “Reflections of an Affirmative Action Baby” with a discomfiting anecdote. A fellow professor had criticized one of Carter’s papers because it “showed a lack of sensitivity to the experience of Black people in America.”
  • “I live in a box,” he wrote, one bearing all kinds of labels, including “Careful: Discuss Civil Rights Law or Law and Race Only” and “Warning! Affirmative Action Baby! Do Not Assume That This Individual Is Qualified!”
  • The fact that Thomas was very likely nominated because he was Black and because he opposed affirmative action posed a conundrum for many supporters of racial preferences. Was being Black enough? Or did you have to be “the right kind” of Black person? It’s a question Carter openly wrestles with in his book.
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  • A graduate of Stanford and Yale Law, Carter was a proud beneficiary of affirmative action. Yet he acknowledged the personal toll it took (“a decidedly mixed blessing”) as well as affirmative action’s sometimes troubling effects on Black people as the programs evolved.
  • What immediately struck me on rereading it was how prescient Carter was about these debates 32 years ago. What role affirmative action should take was playing out then in ways that continue to reverberate.
  • The demise of affirmative action, in Carter’s view, was both necessary and inevitable. “We must reject the common claim that an end to preferences ‘would be a disastrous situation, amounting to a virtual nullification of the 1954 desegregation ruling,’” he wrote, quoting the activist and academic Robert Allen. “The prospect of its end should be a challenge and a chance.”
  • Like many people today — both proponents and opponents of affirmative action — he expressed reservations about relying on diversity as the constitutional basis for racial preferences.
  • The diversity argument holds that people of different races benefit from one another’s presence, which sounds desirable on its face
  • But the implication of recruiting for diversity, Carter explained, had less to do with admitting Black students to redress past discrimination and more to do with supporting and reinforcing essentialist notions about Black people.
  • An early critic of groupthink, Carter warned against “the idea that Black people who gain positions of authority or influence are vested a special responsibility to articulate the presumed views of other people who are Black — in effect, to think and act and speak in a particular way, the Black way — and that there is something peculiar about Black people who insist on doing anything else.”
  • In the past, such ideas might have been seen as “frankly racist,” Carter noted. “Now, however, they are almost a gospel for people who want to show their commitment to equality.”
  • , it’s hard to imagine Carter welcoming the current vogue for white allyship, with its reductive assumption that all Black people have the same interests and values
  • He disparaged what he called “the peculiar relationship between Black intellectuals and the white ones who seem loath to criticize us for fear of being branded racists — which is itself a mark of racism of a sort.”
  • Carter bristled at the judgment of many of his Black peers, describing several situations in which he found himself accused of being “inauthentically” Black, as if people of a particular race were a monolith and that those who deviated from it were somehow shirking their duty. He said he didn’t want to be limited in what he was allowed to say by “an old and vicious form of silencing.”
  • Carter took issue with the belief, now practically gospel in academic, cultural and media circles, that heightened race consciousness would be central to overcoming racism
  • However well intentioned you may be, when you reduce people to their race-based identity rather than view them as individuals in their full, complex humanity, you risk making sweeping assumptions about who they are. This used to be called stereotyping or racism.
  • he rejected all efforts to label him, insisting that intellectuals should be “politically unpredictable.
  • “Critics who attempt to push (or pull) Carter into the ranks of the Black right wing will be making a mistake. He is not a conservative, neo- or otherwise. He is an honest Black scholar — the product of the pre-politically correct era — who abhors the stifling of debate by either wing or by people of any hue.”
  • This strikes me as the greatest difference between reading the book today and reading it as an undergrad at a liberal Ivy League college: the attitude toward debating controversial views. “Reflections” offers a vigorous and unflinching examination of ideas, something academia, media and the arts still prized in 1991.
  • Today, a kind of magical thinking has seized ideologues on both the left and the right, who seem to believe that stifling debate on difficult questions will make them go away
Javier E

Lawyer Who Used ChatGPT Faces Penalty for Made Up Citations - The New York Times - 0 views

  • For nearly two hours Thursday, Mr. Schwartz was grilled by a judge in a hearing ordered after the disclosure that the lawyer had created a legal brief for a case in Federal District Court that was filled with fake judicial opinions and legal citations, all generated by ChatGPT.
  • At times during the hearing, Mr. Schwartz squeezed his eyes shut and rubbed his forehead with his left hand. He stammered and his voice dropped. He repeatedly tried to explain why he did not conduct further research into the cases that ChatGPT had provided to him.
  • “I did not comprehend that ChatGPT could fabricate cases,” he told Judge Castel.
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  • As Mr. Schwartz answered the judge’s questions, the reaction in the courtroom, crammed with close to 70 people who included lawyers, law students, law clerks and professors, rippled across the benches. There were gasps, giggles and sighs. Spectators grimaced, darted their eyes around, chewed on pens.
  • “I continued to be duped by ChatGPT. It’s embarrassing,” Mr. Schwartz said.
  • The episode, which arose in an otherwise obscure lawsuit, has riveted the tech world, where there has been a growing debate about the dangers — even an existential threat to humanity — posed by artificial intelligence. It has also transfixed lawyers and judges.
  • Mr. Schwartz, who has practiced law in New York for 30 years, said in a declaration filed with the judge this week that he had learned about ChatGPT from his college-aged children and from articles, but that he had never used it professionally.He told Judge Castel on Thursday that he had believed ChatGPT had greater reach than standard databases.“I heard about this new site, which I falsely assumed was, like, a super search engine,” Mr. Schwartz said.
  • Avianca asked Judge Castel to dismiss the lawsuit because the statute of limitations had expired. Mr. Mata’s lawyers responded with a 10-page brief citing more than half a dozen court decisions, with names like Martinez v. Delta Air Lines, Zicherman v. Korean Air Lines and Varghese v. China Southern Airlines, in support of their argument that the suit should be allowed to proceed.After Avianca’s lawyers could not locate the cases, Judge Castel ordered Mr. Mata’s lawyers to provide copies. They submitted a compendium of decisions.It turned out the cases were not real.
  • “This case has reverberated throughout the entire legal profession,” said David Lat, a legal commentator. “It is a little bit like looking at a car wreck.”
  • Irina Raicu, who directs the internet ethics program at Santa Clara University, said this week that the Avianca case clearly showed what critics of such models have been saying, “which is that the vast majority of people who are playing with them and using them don’t really understand what they are and how they work, and in particular what their limitations are.”
  • “This case has changed the urgency of it,” Professor Roiphe said. “There’s a sense that this is not something that we can mull over in an academic way. It’s something that has affected us right now and has to be addressed.”
  • In the declaration Mr. Schwartz filed this week, he described how he had posed questions to ChatGPT, and each time it seemed to help with genuine case citations. He attached a printout of his colloquy with the bot, which shows it tossing out words like “sure” and “certainly!”After one response, ChatGPT said cheerily, “I hope that helps!”
Javier E

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

  • 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

AI 'Cheating' Is More Bewildering Than Professors Imagined - The Atlantic - 0 views

  • The problem breaks down into more problems: whether it’s possible to know for certain that a student used AI, what it even means to “use” AI for writing papers, and when that use amounts to cheating.
  • This is college life at the close of ChatGPT’s first academic year: a moil of incrimination and confusion
  • Reports from on campus hint that legitimate uses of AI in education may be indistinguishable from unscrupulous ones, and that identifying cheaters—let alone holding them to account—is more or less impossible.
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  • Now it’s possible for students to purchase answers for assignments from a “tutoring” service such as Chegg—a practice that the kids call “chegging.”
  • when the AI chatbots were unleashed last fall, all these cheating methods of the past seemed obsolete. “We now believe [ChatGPT is] having an impact on our new-customer growth rate,” Chegg’s CEO admitted on an earnings call this month. The company has since lost roughly $1 billion in market value.
  • By 2018, Turnitin was already taking more than $100 million in yearly revenue to help professors sniff out impropriety. Its software, embedded in the courseware that students use to turn in work, compares their submissions with a database of existing material (including other student papers that Turnitin has previously consumed), and flags material that might have been copied. The company, which has claimed to serve 15,000 educational institutions across the world, was acquired for $1.75 billion in 2019. Last month, it rolled out an AI-detection add-in (with no way for teachers to opt out). AI-chatbot countermeasures, like the chatbots themselves, are taking over.
  • as the first chatbot spring comes to a close, Turnitin’s new software is delivering a deluge of positive identifications: This paper was “18% AI”; that one, “100% AI.” But what do any of those numbers really mean? Surprisingly—outrageously—it’s very hard to say for sure.
  • according to the company, that designation does indeed suggest that 100 percent of an essay—as in, every one of its sentences—was computer generated, and, further, that this judgment has been made with 98 percent certainty.
  • A Turnitin spokesperson acknowledged via email that “text created by another tool that uses algorithms or other computer-enabled systems,” including grammar checkers and automated translators, could lead to a false positive, and that some “genuine” writing can be similar to AI-generated writing. “Some people simply write very predictably,” she told me
  • Perhaps it doesn’t matter, because Turnitin disclaims drawing any conclusions about misconduct from its results. “This is only a number intended to help the educator determine if additional review or a discussion with the student is warranted,” the spokesperson said. “Teaching is a human endeavor.”
  • In other words, the student in my program whose work was flagged for being “100% AI” might have used a little AI, or a lot of AI, or maybe something in between. As for any deeper questions—exactly how he used AI, and whether he was wrong to do so—teachers like me are, as ever, on our own.
  • Rethinking assignments in light of AI might be warranted, just like it was in light of online learning. But doing so will also be exhausting for both faculty and students. Nobody will be able to keep up, and yet everyone will have no choice but to do so
  • Somewhere in the cracks between all these tectonic shifts and their urgent responses, perhaps teachers will still find a way to teach, and students to learn.
Javier E

Allina Health System in Minnesota Cuts Off Patients With Medical Debt - The New York Times - 0 views

  • An estimated 100 million Americans have medical debts. Their bills make up about half of all outstanding debt in the country.
  • About 20 percent of hospitals nationwide have debt-collection policies that allow them to cancel care, according to an investigation last year by KFF Health News. Many of those are nonprofits. The government does not track how often hospitals withhold care
  • Under federal law, hospitals are required to treat everyone who comes to the emergency room, regardless of their ability to pay. But the law — called the Emergency Medical Treatment and Labor Act — is silent on how health systems should treat patients who need other kinds of lifesaving care, like those with aggressive cancers or diabetes.
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  • But the federal rules do not dictate how poor a patient needs to be to qualify for free care
  • In exchange, the Internal Revenue Service requires Allina and thousands of other nonprofit hospital systems to benefit their local communities, including by providing free or reduced-cost care to patients with low incomes.
  • In 2020, thanks to its nonprofit status, Allina avoided roughly $266 million in state, local and federal taxes, according to the Lown Institute, a think tank that studies health care.
  • In 2020, Allina spent less than half of 1 percent of its expenses on charity care, well below the nationwide average of about 2 percent for nonprofit hospitals
  • Allina is one of Minnesota’s largest health systems, having largely grown through acquisitions. Since 2013, its annual profits have ranged from $30 million to $380 million. Last year was the first in the past decade when it lost money, largely owing to investment losses.
  • The financial success has paid dividends. Allina’s president earned $3.5 million in 2021, the most recent year for which data is available. The health system recently built a $12 million conference center.
  • Allina sometimes plays hardball with patients. Doctors have become accustomed to seeing messages in the electronic medical record notifying them that a patient “will no longer be eligible to receive care” because of “unpaid medical balances.”
  • Doctors and patients described being unable to complete medical forms that children needed to enroll in day care or show proof of vaccination for school.
  • Serena Gragert, who worked as a scheduler at an Allina clinic in Minneapolis until 2021, said the computer system simply wouldn’t let her book future appointments for some patients with outstanding balances.
  • Ms. Gragert and other Allina employees said some of the patients who were kicked out had incomes low enough to qualify for Medicaid, the federal-state insurance program for poor people. That also means those patients would be eligible for free care under Allina’s own financial assistance policy — something many patients are unaware exists when they seek treatment.
  • Allina says the policy applies only to debts related to care provided by its clinics, not its hospitals. But patients said in interviews that they got cut off after falling into debt for services they received at Allina’s hospitals.
  • Jennifer Blaido lives in Isanti, a small town outside Minneapolis, and Allina owns the only hospital there. Ms. Blaido, a mechanic, said she racked up nearly $200,000 in bills from a two-week stay at Allina’s Mercy Hospital in 2009 for complications from pneumonia, along with several visits to the emergency department for asthma flare-ups
  • Ms. Blaido, a mother of four, said most of the hospital stay was not covered by her health insurance and she was unable to scrounge together enough money to make a dent in the debt.
  • Last year, Ms. Blaido had a cancer scare and said she couldn’t get an appointment with a doctor at Mercy Hospital. She had to drive more than an hour to get examined at a health system unconnected to Allina
  • In court filings, the couple described how Allina canceled Ms. Anderson’s appointments and told her that she could not book new ones until she had set up three separate payment plans — one with the health system and two with its debt collectors.Even after setting up those payment plans, which totaled $580 a month, the canceled appointments were never restored. Allina allows patients to come back only after they have paid the entire debt.
  • When the Andersons asked in court for a copy of Allina’s policy of barring patients with unpaid bills, the hospital’s lawyers responded: “Allina does not have a written policy regarding the canceling of services or termination of scheduled and/or physician referral services or appointments for unpaid debts.”In fact, Allina’s policy, which was created in 2006, instructs employees on how to do exactly that. Among other things, it tells staff to “cancel any future appointments the patient has scheduled at any clinic.”
  • It does provide a few ways for patients to continue being seen despite their unpaid bills. One is by getting approved for a loan through the hospital. Another is by filing for bankruptcy.
Javier E

Building a Better Colonial Williamsburg - The New York Times - 0 views

  • In the 1770s, more than half of the town’s 1,800 residents were Black, though visitors to the modern-day recreation would not always have known it.
  • “Williamsburg: The Story of a Patriot,” the rousing orientation film that started running in the visitors center in 1957, included few Black faces. Even into the 1980s, Black employees in the historic area generally worked as (costumed) custodians, coachmen or cooks — seen but little heard.
  • A shift began in 1979, when the foundation introduced “first-person” costumed interpreters portraying ordinary people, white and Black. In 1984, it created a dedicated African American history unit, led by Rex Ellis, who in 2001 became the foundation’s first Black vice president.
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  • “True” is a word heard often at Williamsburg, where interpreters — including one portraying Oconostota, an 18th-century Cherokee diplomat who came to Williamsburg in 1777 — regularly break character to explain the evidence behind their stories.
  • Thomas Jefferson, she said, is “still here.” But now, “you’re going to hear more of the story,” she said. “And you’re going to hear more of the story because it’s true.”
  • The current direction also has strong board support, according to Carly Fiorina, the business executive and former Republican presidential candidate, who became the chair in December 2020. A few donors, Fiorina said, were initially “a little concerned” about the L.G.B.T.Q. history programs, which were announced in 2019. But they are grounded in evidence, Fiorina emphasized.
  • The foundation’s audience research, Fleet said, indicates that showing your work helps built trust.“One of the most important things to do, particularly in this age of polarization, is to let them know how you know,” he said.
  • The Bray School project, a collaboration with William & Mary, is similarly community-driven. Over the decades, Coleman said, Black interpreters regularly talked about the school and its students. But no one knew for sure what had happened to the building.
  • In 2021, a hunch that it had been moved to the William & Mary campus and incorporated into another building was confirmed. The structure was extracted, and in February it was moved to a site next to the church, in a grand ceremonial occasion.
Javier E

Opinion | Germany's unlikely success story is an inspiration in tough times - The Washi... - 0 views

  • One of the most striking positive trends in the world these days can be found in the democratic strength, character and leadership of Germany.
  • This came to mind as I was reading German Chancellor Olaf Scholz’s speech this week in Prague, in which he promised that his country would support Ukraine “reliably and for as long as it takes.” He explained that Germany had “undergone a fundamental change” on providing military aid to Ukraine. He affirmed Germany’s support for a stronger, more integrated Europe — one that would welcome new members that aspire to Europe’s democratic values and ideals.
  • This is all part of what he calls a Zeitenwende in German foreign policy, a “turning of the times.”
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  • it is also the continuation of a remarkably consistent German attitude toward Europe and the world since 1945. Think about how different the world would look if we did not have, at the center of Europe, its most powerful nation — the country that is the largest net contributor to the E.U. — totally committed to democratic and liberal values and willing to make sacrifices for them. Germany today is the rock on which a new Europe is being built.
  • the sacrifices are real and deep. Natural gas prices are up tenfold in Europe compared to last year. The price of electricity for 2023 is more than 15 times higher than it has been in recent years, by one estimate. Vladimir Putin is ramping up the pressure by slowing and even stopping gas exports to Germany
  • But Germany has not given in. Confronted with these massive challenges, it has patiently sought to diversify away from a dependence on Russia, investing even more in green technology, buying liquefied natural gas, reopening coal-fired plants and even debating whether to keep its last three nuclear power plants running longer than planned.
  • The European Union has suggested a 15 percent reduction in the consumption of natural gas this winter. Germany is trying to achieve a 20 percent cut just to be safe. German industry is being resourceful about energy efficiency, and companies are even thinking about sharing resources with competitors, all to get through the crisis.
  • Merkel herself was seen in similar ways when she came to power. Over time she developed the skills and stature to gain respect from all quarters. She might have erred in trying to develop too conciliatory a relationship with Moscow
  • but when Russia invaded Ukraine in 2014, she was at the forefront in condemning it and persuading Europe to impose an ambitious program of sanctions. She also led the world in responding to the Syrian refugee crisis, reassuring her country by declaring, “We can do this.” As of mid-2021, Germany hosts more than 1.2 million refugees, half of whom are from Syria. In fact, Germany has managed this stunning act of integration with minimal problems.
  • We always underestimate modern-day Germany and its leadership. The federal republic has had a remarkable run of leaders in the post-World War II era, from its first chancellor, Konrad Adenauer, to Willy Brandt to Helmut Schmidt to Merkel — and now, let’s hope, to Scholz. Can any other country compare over the past seven decades?
  • In 1945, no one would have predicted that Germany would develop as it has. It came out of the war utterly destroyed, its cities flattened, its population starving. Around 12 million ethnic Germans who had been expelled from other countries poured into Germany. Above all, postwar Germany was scarred by the gruesome legacy of Adolf Hitler and the Holocaust. But the country found a way to overcome its past, to become, in Henry Kissinger’s words, “a normal country … with an abnormal memory.” And that much larger Zeitenwende is one of the great good news stories of our times.
Javier E

Bibi Netanyahu's Divisive Policies Are Behind Israel's Catastrophic National Security F... - 0 views

  • This is broadly what we know happened: Shortly after launching the intensive early-morning rocket attack, elite Hamas units simultaneously rushed multiple military outposts on the Gaza-Israel border. They quickly overwhelmed the posts, killing or kidnapping virtually all the soldiers in them. They then destroyed the observation and communications networks on which the Israel Defense Forces (IDF) depended for identifying breaches of the border fence.
  • In parallel, Hamas launched an aerial and naval attack using several dozen motor-powered hang gliders, armed drones, and small speed boats. In the ensuing chaos, the fence was breached by bulldozers, explosives, and wire-cutters in up to 80 spots along the northern and eastern border between Gaza and Israel, facilitating the main thrust of the attack.
  • Over 1,500 armed militiamen on pickup trucks, motorbikes, and SUVs rushed across the border into adjacent Israeli kibbutzim, moshavim, and towns. Several dozen militiamen also headed to the scene of a youth music festival where around 3,500 revelers were camped in tents and cars. This became the epicenter of a massacre.
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  • Over the next several hours, militants rampaged through around two dozen Israeli towns—killing, looting, burning, kidnapping, and reportedly raping civilians. They managed to penetrate as far as Ofakim, 20 miles into Israel. They effectively controlled several main roads, on which they gunned down passing traffic. It took the IDF 6 hours to begin seriously engaging the militants. 18 hours after the incursion began, fighting was taking place in 22 spots. It took over 48 hours before the last of the major clashes with this first wave of the militants’ incursion was over and the militants neutralized.
  • In total, as of the morning of October 11th, over 1,200 Israelis are confirmed killed, almost 3,000 wounded (hundreds critically), and somewhere between 100 and 150 kidnapped, including whole families with toddlers and senior citizens.
  • For months, Netanyahu has been cautioned that his divisive “governance reforms” represented a reckless gamble with the country’s national security. He received numerous private (and then public) warnings from every major security chief that his policies were eroding IDF preparedness and provoking Israel’s enemies to test its readiness. Netanyahu ignored, dismissed, or ridiculed every one of these warnings. He and his acolytes have systematically castigated those who voiced concern as disloyal “agents of the deep state” or, worse, “leftist traitors.”
  • The events of October 7th represented a colossal intelligence failure. With or without substantial Iranian assistance, it is now clear that Hamas had been preparing the attack for over a year. Astonishingly, it apparently did so without major leaks. The few tell-tale signs of an impending attack that did surface appear to have been ignored.
  • Taken by surprise, and made to fight for their lives in understaffed outposts, the IDF was operationally incapable of adequately responding to the militants’ land maneuver. Unarmed civilians were left to fend for themselves for long hours, with horrific consequences.
  • What will make October 7th uniquely egregious in the eyes of many Israelis (perhaps most) is the fact that events of this sort were not only reasonably foreseeable but were repeatedly foreseen and repeatedly ignored by Israel’s current leadership.
  • at least 950 Palestinians have been killed in retaliatory IAF air strikes.
  • As long as Israel faces immediate danger, all hands will be on deck and party politics largely put aside.
  • As long as the emergency continues, therefore, Netanyahu won’t have to face the pressure of public protests against his program to weaken the Israeli judiciary.          
  • But in the longer term, it is difficult to see how Netanyahu, the great political survivor, will survive the events of October 7th. His reputation as “Mr. Security” is in tatters and it is impossible to see how it could possibly recover.
  • Analysts keen to convey the magnitude of October 7th to American audiences have already tagged it Israel’s Pearl Harbor or 9/11. Neither label adequately captures the day’s true significance.
  • A more accurate name might be something like “Israel’s civic Yom Kippur.” Why? Because the very existence of the State of Israel was supposed to guarantee that a day like this would never happen. In the Yom Kippur War of October 1973—when Egypt and Syria launched a surprise assault—Israel lost some 2,700 soldiers, but it managed to effectively protect its civilian population. No Israeli towns or villages were ever breached. The social contract was honored, albeit at a terrible price.
  • On October 7, 2023, it was primarily civilians who were killed, maimed, and kidnapped. This was the day when the IDF wasn’t there to defend the people it was created to protect. This was the day when—livestreamed on social media—distraught family members saw their loved ones carried away, like livestock, into Hamas captivity in Gaza. This was the day when—in a horrifying echo of the Holocaust—defenseless Jewish mothers, citizens of a sovereign Jewish State, tried to keep their babies from crying as armed men lurked outside, listening to ascertain whether anyone was alive inside the home, before setting it on fire.
  • many Israelis, already mistrustful of their elected representatives and worn out by internal divisions, may have finally lost faith in their national leaders or, worse, in the core institutions of their nation state. Where was the army when murderous gunmen broke into our homes deep inside Israel itself?
  • Fifty years ago, in the aftermath of the 1973 Yom Kippur War, Israel appeared broken, internally torn, and internationally isolated. Yet, it proved itself remarkably resilient. Can Israel gather itself again from the terrible blow it sustained on October 7th? I have no doubt that it can.
Javier E

How the Humble Paperback Helped Win World War II - The New York Times - 0 views

  • The paperbacks were intended to help soldiers pass the time. But they were also meant to remind them what they were fighting for, and draw a sharp contrast between American ideals and Nazi book burnings.
  • That’s an aspect of the story that has only grown more resonant, amid today’s partisan battles over book bans. And Manning, for one, sees a clear lesson.
  • “During World War II, the American public came out very much one way,” she said. “And that was that there should be no restrictions on what people read.”
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  • The idea that good soldiers needed good books didn’t start with World War II. During World War I, the American Library Association collaborated with the Army to gather and distribute donated books. Even before Pearl Harbor, the association had planned a new “Victory Book Campaign,” with the goal of collecting 10 million books in 1942. The goal was met, though there were concerns that too many were dirty, outdated or unreadable. The campaign was renewed in 1943, with a caveat that the public should donate only “good books.”
  • Books were seen not just as diversions, but as weapons in the fight for democracy. In American propaganda, the dedication to the free exchange of ideas was explicitly contrasted with Nazi book burnings.
  • in early 1943, the Council on Books in Wartime, a publishers’ group formed in 1942, approached Ray Trautman, the Army’s chief librarian, with the idea of producing special paperbacks for soldiers overseas. The result was the Armed Services Editions. which were designed to fit in either the breast or pants pocket of a standard-issue uniform.
  • The series mixed entertainment with more edifying fare. The first title was “The Education of Hyman Kaplan,” a collection of comic stories by Leonard Q. Ross (a pseudonym of Leo Rosten, future author of “The Joys of Yiddish”). The more than 1,300 titles that followed included literary classics, contemporary fiction, poetry, history, biography, humor and even one art book, a compilation of soldiers’ paintings.
  • A 1945 pamphlet credited the books with helping to create “a young, masculine reading public,” including some who may not have been eager to dig into, say, Herman Melville’s “Typee.” One Marine quoted in the exhibit said that when that book was given to him, he eventually “had nothing to do but read it.” His verdict? “Hot stuff. That guy wrote about three islands I’d been on!”
  • Still, the specter of partisan bias shadowed the project. In 1944, when President Roosevelt was seeking a fourth term, Congress passed a law aimed at creating a uniform absentee ballot for soldiers. As part of the law, Republicans, concerned that Democrats were seeking to influence the military vote, included a clause stating that no material “containing political argument or political propaganda” could be distributed to troops.
  • The vagueness of the language sent a chill through the book program. Some planned titles were pulled, including “Yankee From Olympus” (a biography of the former Supreme Court Justice Oliver Wendell Holmes that included a favorable depiction of President Roosevelt) and E.B. White’s “One Man’s Meat.”
  • Two months later, the law was amended, and all of the postponed books were released
Javier E

America Needs a New Way to Measure Poverty - The Atlantic - 0 views

  • Income is one vital indicator of well-being, but it is not the only one: Things like health outcomes and social mobility matter too.
  • we should shift our focus from poverty to disadvantage. Disadvantage is a more useful term than poverty because we aren’t just talking about income—we’re trying to capture the complexity of a person’s life chances being hindered by multiple circumstances
  • Disadvantage is more accurate because it implies an injustice. People are being held back—unfairly.
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  • Thanks to social-science research, we now know that children’s life chances are profoundly affected by their context—not only income and family circumstances but also their community—more so than by their genetic profile or the medical care they receive.
  • With this in mind, we created what we call the Index of Deep Disadvantage, which reflects two traditional measures of income (the poverty rate and the “deep poverty rate,” meaning those with incomes below half the poverty line), two markers of health (birth weight and life expectancy), and the rate of social mobility for children who grow up in low-income families. We used this index to rank the roughly 3,100 counties in the United States along with the 500 most populous cities.
  • Immediately, the rankings revealed a stark geographical pattern.
  • the most disadvantaged places on our index were primarily rural
  • Though some of these were majority white, most were majority Black or Hispanic.
  • these places resembled, well, colonies—internal colonies within the U.S.
  • Considerable poverty exists in Chicago, Los Angeles, and New York. But in our apples-to-apples comparison, none of those cities ranked among even the 600 most disadvantaged places in the nation
  • The only cities on that list were a relatively small number of industrial municipalities such as Cleveland, Detroit, and Rochester.
  • Those living in the 200 most disadvantaged places on our index were just as likely to have major difficulties paying for housing as those in America’s 500 largest cities.
  • The places that our index identified as the 200 most disadvantaged are concentrated in three regions—Appalachia, South Texas, and the southern Cotton Belt.
  • hese places share a history of intensive resource extraction and human exploitation not seen to the same degree elsewhere in the United States
  • In each place, this economic pattern emerged (or, in the case of the Cotton Belt, fully flourished) in the late 19th or early 20th century. In each place, one industry came to dominate the economy, a pattern that held, broadly, until the 1960s, when King Cotton, King Tobacco, King Coal, and South Texas agriculture, would bow to the twin forces of automation and global competition.
  • many places with large Native American populations ranked among the most disadvantaged in the nation
  • While visiting many of the nation’s most disadvantaged places, we set out to build on this work through historical research, ethnographic observations, and in-depth interviews.
  • For generations, the appearance of towns in South Texas followed a pattern of social hierarchy: sturdy wood-frame houses, paved streets, and enclosed sewers in the white neighborhoods; shacks, dirt roads, and privies in the Mexican parts of town. Forced to migrate to find work during the off-season, generations of Mexican American children lost their right to a decent education. Even today, adult-illiteracy rates in these places are among the highest in the nation.
  • in Leflore County, Mississippi, for example, Black residents told us that violence was the No. 1 problem they face. The rate of death due to interpersonal violence there was nearly four times the national average, and well above that of Cook County, Illinois, home to Chicago
  • Throughout these regions, we saw the same themes emerge again and again—unequal schooling, the collapse of social infrastructure, violence, entrenched public corruption, and structural racism embedded in government programs.
  • Overall, poverty rates in these places are very low, babies are born healthy, people live to a ripe old age, and a low-income child usually has a similar chance of making it into the middle class as any other kid.
  • er they were forcibly relocated onto land mostly inhospitable to human habit
  • hey have enjoyed the lowest rates of violent crime, income inequality, and public corruption in the nation. These counties are unusually rich in social capital: Residents are connected to one another through volunteerism, membership in civic organizations, and participation in other community activities.
  • Counties that rank among those of greatest advantage began as agricultural communities with modestly sized farms, many originally secured through the 1862 Homestead Act that made landownership widely available. Many of these places have built on this history of broad-based wealth by making significant investments in schools, which has contributed to high graduation and college enrollment rates over generations.
  • One cannot fully understand the benefits enjoyed in America’s most advantaged places without considering the historic (and ongoing) exploitation of migrant labor that has gone on in them, mostly drawn from the U.S. border regions.
  • these communities have been more successful than most in preventing poverty, promoting health, and ensuring a level playing field for their children.
  • The upper Midwest is also overwhelmingly white. When we examined the relationship between whiteness and rank on the index, we found that a higher percentage of white residents is a significant predictor of a place’s rank, which is not at all surprising when one considers that the good schools and the good jobs have long been bestowed liberally on whites while being denied to Hispanic and Black Americans.
  • What makes the communities that are most advantaged unique is their histories as places of broad-based wealth. How different would conditions be in other parts of the country had they followed a similar, equitable course?
  • The lesson is that people seem to thrive—not always in high salaries but in health and life chances—when inequality is low; when landownership is widespread; when social connection is high; and when corruption and violence are rare.
  • The social leveling that is characteristic of communities in the upper Midwest is more than just a quaint cultural feature. It is the foundation of a community’s well-being. Until these regions’ virtues are shared nationwide, poverty and disadvantage will continue to haunt America.
Javier E

The Climate Contradiction That Will Sink Us - The Atlantic - 0 views

  • But none of that is enough, practically speaking, because of one enormous hitch: The world is still using more energy each year, our consumption ticking ever upward, swallowing any gains made by renewable energy. Emissions are still rising—more slowly than they used to but, nonetheless, rising. Instead of getting pushed down, that needle is fitfully jiggling above zero, clawing into the positive digits when it needs to be deeply pitched into the negative. We are, in other words, simply not making a dent.
  • And so we are now in climate purgatory. In this zone, countries and companies are doing the right things to steer away from the damages of climate change, but are at the very same time making deliberate choices that swamp the effect of those other, better things.
  • governments in aggregate still plan to increase coal production until 2030, and oil and gas production until at least 2050, global net-zero agreements be damned. In total, countries that hold the world’s oil, gas, and coal deposits still plan to produce 69 percent more fossil fuels than is compatible with keeping warming under 2 degrees Celsius
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  • Whichever way you cut it, global warming is already happening too fast to generously support life, which our prior climate did quite well. As a feebly supportive climate devolves into an unsupportive one, it won’t matter who forecasted the timing right, only that we missed our chance at the good version of Earth.
  • The scientist James Hansen, famous for his early warnings about climate change, suggested in a paper released last week with a suite of high-level colleagues that warming is accelerating more rapidly than is presently understood: In their view, that the Earth could exceed 1.5 degrees of warming this decade is practically assured, and 2 degrees by 2050 is likely unless the world eliminates fossil-fuel use far faster than planned.
  • One expert who worked on the UN report called this “insanity,” a “climate disaster of our own making.” The climate math is not adding up.
  • Previous studies have warned of the ice sheet’s collapse if emissions were not drawn down; hers now suggests that we’ve passed the point of no return, that even significant emissions cuts would be too late for this particular ice sheet. (The East Antarctic ice sheet, she said, is far more stable—and good thing, because it contains enough frozen water for 10 times the amount of sea-level rise as its western counterpart.
  • by one estimate, the West Antarctic ice sheet contains enough water to raise sea level globally by just over five meters, or 17 feet. At the very least, Naughten told me, she thinks it would be wise to plan for two to three meters of sea-level rise, or six to ten feet, in the next couple of centuries
  • I shudder to think what would happen if everyone living within two meters of sea level would be displaced,” she added. That “everyone” is projected to include some 410 million by 2100.
  • the loss of much of West Antarctica’s ice sheet is now virtually inevitable. Even if future emissions are drastically curtailed, enough warming is probably locked in to wash the bulk of the sheet away. At best, she says, we are on the brink of its total loss becoming assured
  • France, Ireland, Kenya, Spain, and 12 other countries have called for a global accord to phase out fossil-fuel production. There is little doubt that this is necessary; adding more fossil fuels to the pipeline is quite obviously counterproductive to slowing, then stopping, climate change.
  • Yet in the U.S. alone, a country responsible for at least 20 percent of historical emissions, the current buildout of liquified-natural-gas infrastructure, intended to export the country’s plentiful gas, is the largest fossil-fuel expansion proposed in the world—and it’s happening under a president who recently passed the most impactful climate legislation the country has ever seen
  • China, which is responsible for about 12 percent of historical emissions according to Alex Wang, who studies Chinese environmental governance at UCLA, has one of the largest clean-power programs in the world. But the country is at the same time dramatically expanding its coal production.
  • the difference between the world we have and the one we could have is buried in two contrasting modeling reports by two of the world’s most important energy-information organizations.
  • Whereas the International Energy Agency projected that we’d hit peak fossil-fuel use in 2030, the U.S. Energy Information Administration came to a very different conclusion: It saw demand for fossil fuels rising through at least 2050
  • If a policy is set to expire, the U.S. EIA treats it as expiring. It doesn’t take into account policies that countries have talked about but have had yet to implement. The international agency’s analysis, in contrast, assumes countries will follow through with more climate-friendly policies and renew the ones they already have on the books. “Look how different things could be,” Bowman said. The difference is night and day, despair and hope.
  • Policy, and only policy, appears to make that difference. It represents the choices that our leaders make about when to finally change course.
  • “climate is a spectrum; it isn’t an on/off switch.” Whenever we do make a different set of decisions, ones that make the math properly compute, we will be saving what we have left, preventing some layer of livability from being irrecoverably sloughed off and swept away.
Javier E

The Urgent Case for Shrinking the Economy | The New Republic - 0 views

  • A classic example of this dynamic is the advent of the chain saw. A person with a chain saw can cut 10 times as many trees in the same time as a person using older methods. Logging companies did not use this invention, however, to shorten the workweek by 90 percent. They used it to cut 10 times more trees than they otherwise would have. “Lashed by the growth imperative, technology is used not to do the same amount of stuff in less time, but rather to do more stuff in the same amount of time,”
  • The problem, Hickel argues, is explained by the “paradox” first observed by the nineteenth-century economist William Stanley Jevons: In a growth system, gains in efficiency do not translate to higher wages, greater equality, more leisure, or lower emissions; they are plowed right back into the growth cycle
  • Increasing outputs of wind, solar, and other renewables are not leading to a drop in the use of fossil fuels. Instead, renewables and fossil fuels are used to satisfy rising global energy demand. “New fuels aren’t replacing the older ones,” Hickel writes. “They are being added on top of them.”
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  • The economy that Hickel envisions would cease to pursue growth, green or otherwise. Materials and energy will still be consumed, and waste generated, but at much lower levels. All impacts on the natural world will be tethered to the question, “Growth for whom, and to what ends?” In place of an individualistic consumer economy, Hickel’s post-growth economy would direct itself toward the creation of public goods that allow the many to live well—mass transit, health care—rather than to keep a few in luxury.
  • A growing body of research reveals an inverse relationship between “happiness” and growth beyond a certain point.
  • In the rich countries, general contentment peaked in 1950, when GDP and real per capita incomes were fractions of their present size (and inequality near modern historic lows); degrowthers posit that similar happiness levels will be reclaimed on the way back down the economic mountain
  • Hickel describes a post-growth economy defined by stability and equality, and the freedom and leisure possible when the economy is no longer subservient to the god of growth
  • He estimates that the U.S. economy could be scaled down by as much as 65 percent while still improving the lives of its citizens. This includes the metric most often tied to celebrations of endless growth: life expectancy.
  • degrowth will entail a steep reduction across a much wider range of high-energy consumer goods. Keeping a global economy within safe ecological limits is a zero-sum game.
  • When limited resources are directed toward clean energy infrastructure, public health care, and regenerative agriculture, it will still be possible to build and power modern 24-hour hospitals in every city, but not to have Xbox consoles, two-car garages, and giant appliances in every home.
  • would have to redefine it, too.
  • The post-growth economy could not succeed solely by redistributing wealth; it would have to redefine it, too.
  • He argues that short-term growth would have to continue in those countries that have still not achieved the basic levels of sanitation, infrastructure, and education needed for a decent standard of living, to close the gap. Their larger goal, meanwhile, would be to break free from their historical role as a source of natural resources and cheap labor for the north.
  • For degrowth to be just, global, and effective, the sharpest reduction in consumption will have to come from the north, where the greatest damage to the planet is currently being done
  • Ecological economists generally agree that the safe outer limit is eight tons
  • One person in a low-income country has a materials footprint of roughly two tons per year, a measure of total raw materials consumed, including those embodied in imports. In lower-middle–income countries, that number is four tons; in upper-middle–income countries, 12 tons. In the high-income nations of North America, Europe, and Asia, the number leaps to 28
  • The wealthiest 20 percent of the human population is responsible for 90 percent of “overshoot” carbon in the atmosphere (that is, a level of carbon that exceeds the limit needed to keep global temperature rise below 2 degrees Celsius)
  • The planet’s richest one percent has a carbon footprint twice the size of the poorest half of the world’s population combined
  • For the global north, degrowth not only starts at home, it starts with the biggest houses.
  • Less Is More doesn’t end in a poetic appreciation for nature’s majesty, but by teasing out its implications for the political project of preserving a habitable planet. Hickel devotes much of the book to explaining that degrowth must be central to this project, promising not just survival, but real democracy, social abundance, and liberation.
  • Both involve broad social shifts away from private consumption and toward the production of shared public goods.
  • This beautiful coincidence overlaps with policy programs like the Green New Deal in important way
  • In July 1979, shortly after installing a set of solar panels over the West Wing, Jimmy Carter did something peculiar for a peacetime president. He asked Americans to sacrifice: to consume less, take public transit more, value community over material things, and buy bonds to fund domestic energy development, including solar
  • Next to Schumacher’s “Buddhist economics,” Debsian socialism was reformist tinkering. Schumacher didn’t see liberation as a matter of reshuffling the ownership and management structures of the smokestack-powered growth economy. He believed a deeper transformation was needed to maintain a livable planet. This would require new socioecological blueprints “designed for permanence.” As the left and the right battled for control over growth’s levers and spoils, Schumacher pointed out how both had become blind to the rise of growth as its own self-justifying, pan-ideological religion; its patterns of production and consumption, he observed, required “a degree of violence” that did not “fit into the laws of the universe.”
  • They determined that infinite growth was, in fact, impossible on a finite planet. Barring a major course correction, the team projected, growthism would result in an ecological systems breakdown sometime in the middle of the twenty-first century
  • This warning, detailed in the 1972 bestseller The Limits to Growth, has aged better than the scorn heaped on it
  • We are now witnessing what appears to be the beginnings of the collapse predicted nearly 50 years ago
  • In his new book, Less Is More, Jason Hickel, an anthropologist and journalist, attempts to bring a comprehensive critique of growth closer to the center of the conversation, arguing through a sweeping history of capitalism that it’s uncontrolled growth, not its controlled arrest and reversal, that is the preposterous concept.
  • This economic and political revolution was reinforced by a complementary scientific one that displaced the lingering animist cosmology of pre-capitalist Europe. The dualism of Francis Bacon and Descartes held reason to be distinct from and superior to matter.
  • The idea of limitless growth is a relatively recent one. In Less Is More, Hickel traces its origins to the enclosure of the European commons in the sixteenth century
  • Starving refugees were scattered and forced into a new economy defined by neo-feudal servitude and wage labor. Landowners, meanwhile, began amassing great stores of surplus wealth.
  • By the mid-1800s, a new “science” had arisen from these assumptions. Neoclassical economics fully abstracted the economy from the natural world. The economy was geared not toward the creation of a happy and prosperous society, but toward the perpetual growth of wealth as its own end, achieved in an inherently virtuous cycle of converting labor and resources into capital, to be accumulated and reinvested in faster and more productive conversions of labor and resources
  • This ideology subsumed and profaned notions about progress and morality held by the classical economists, until eventually the field even l
  • This process unfolded despite repeated warnings along the way. Classical economists like John Stuart Mill and, to a lesser extent, Adam Smith not only acknowledged the existence of natural limits to growth, but saw economic development as a phase; at some point, they believed, nations would create enough wealth to pursue other definitions of progres
  • the caveats issued by Simon Kuznets, father of the concept adopted in the twentieth century as growth’s universal and signature metric: gross domestic product. Kuznets, Hickel points out, “warned that we should never use GDP as a normal measure of economic progress,” because GDP does not distinguish between productive and destructive behavior
  • Most people encounter the growth debate, if they encounter it at all, through the idea of “green growth.
  • This is a vision for our collective future based on the belief that technological advance will drastically reduce the amount of raw materials needed to sustain growth—a process known as dematerialization—and “decouple” growing GDP from its ecological impacts.
  • boosters of the idea point to the transition by rich countries from manufacturing to service-based economies, as well as efficiency gains in energy and in the use of materials
  • The belief that green growth will save us, also known as “ecomodernism” or “ecopragmatism,” has become a trendy article of faith among elites who acknowledge climate change and the dangers of breaching ecological boundaries
  • n 2017, Barack Obama threw his support behind the idea in an article for Science magazine, maintaining that signs of decoupling in major economies “should put to rest the argument that combatting climate change requires accepting lower growth or a lower standard of living.”
  • The argument that capitalism can grow itself out of the present crisis may be soothing to those who like the world as it is. It also relies on the kind of accounting tricks and rejection of reality
  • By only counting the emissions created within a country that imports most of its cars, washing machines, and computers, you end up pushing the emissions related to their production off the books. When you factor them back in, the picture is much less green. A number of recent studies show no evidence of meaningful decoupling—in energy or materials—even as the world increases its use of renewable energy and finds ways to use some materials more efficiently.
  • Green growth, Hickel concludes, is an ecologically incoherent “fairy tale.”
  • consider what the ecomodernist position asks us to believe. The current system requires annual growth of roughly 3 percent to avoid the shock of recession. This means doubling the size of the economy every 23 years
  • he economy of 2000 must be 20 times larger in the year 2100, and 370 times larger in the year 2200.
  • Hickel is less interested in the macroeconomic details of this future than are growth critics based in economics departments, like Tim Jackson and Kate Raworth, and more focused on the leisure, security, and general human flourish
  • he makes an alluring case that degrowth does not require anything like the “command-and-control fiasco of the Soviet Union, or some back-to-the-caves, hair-shirted disaster of voluntary impoverishment.”
  • Attaining the benefits of the post-growth economy would, however, require what the present consumer society considers “sacrifices.
  • it’s not clear how many of them are ready to give up its superficial pleasures enabled by consumer debt
  • Among nations, there’s also the question of fairness: Wouldn’t it be unjust to impose degrowth across the world, when it’s disproportionately the countries of the global north that have spent centuries burning through the planet’s resources?
  • This output tracks to the one percent’s share of global wealth—a number equal to the GDP of the bottom 169 countries.
  • Even if you accept the argument that inequality would be best addressed by more centuries of trickle-down growth, you keep running up against the simple fact of its impossibility. Even just one more century of growth—which so far has shown no sign of taking a less destructive form—will require multiple earths
  • Hickel is serious about bringing the system critiques of E.F. Schumacher and others out of their traditional cloisters and into the streets, and has sought allies in this effort
  • emphasize what Hickel calls the “beautiful coincidence” of degrowth: that “what we need to do to survive is the same as what we need to do to have better lives.”
  • Both are internationalist in outlook, and see the world through a lens of climate justice as well as climate equilibrium.
  • that is, communicating the many benefits of moving beyond the insecurity and terrors of the current system, and building a new society that is sustainable, stable, democratic, and fundamentally better in every way.
Javier E

Opinion | How Germany Became Mean - The New York Times - 0 views

  • Germany occupies a special place in the international imagination. After the horrors of the Holocaust and the difficulties of reunification, the country acquired a reputation as a leader of the free world. Economically prosperous, politically stable and more welcoming to immigrants than most other countries, the Germans — many thought — had really learned their lesson.
  • The past few months have been a bit of a rude awakening. The economy is stuttering and a constitutional court ruling has upended the government’s spending plans
  • The far-right Alternative for Germany party, fresh from success in two regional elections, is cementing itself as the country’s second-most-popular party.
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  • Migrants are in politicians’ cross hairs, threatened with deportation and reduced support.
  • And the country’s commitment to fighting antisemitism seems not only to be failing but also to have given rise to an outpouring of anti-Muslim sentiment.
  • The truth is that Germany never fully deserved its vaunted reputation. The export-led economy depended on a large low-wage sector and the country’s position in the European Union.
  • The far right — ensconced in parts of the state — never went away, and the celebrated Willkommenskultur, short lived in any case, couldn’t conceal enduring xenophobia and suspicion about foreigners.
  • The culture of remembrance and historical reckoning, too, was far from perfect
  • Even so, the sudden coarsening of public life in the service of a warped sense of national identity is striking. Germany, supposed model of fair-minded moderation, has become mean.
  • the government’s habit of conflating criticism of Israel with antisemitism has had some disturbing effects. Most notably, it has created an atmosphere where advocacy for Palestinian rights or a cease-fire in Gaza is seen as suspect, running afoul of the state-mandated position
  • The police, for example, have cracked down on pro-Palestinian protests in several cities and outright banned numerous demonstrations.
  • politicians, seizing on some evidence of antisemitic displays at pro-Palestinian protests to link Muslims and migrants with antisemitism, have taken the opportunity to advance an anti-migrant agenda
  • When Mr. Scholz was asked about antisemitism among people “with Arab roots” in an October interview, he said Germany needed to sort out more precisely who is allowed to come into the country and who is not. “We are limiting irregular migration,” Mr. Scholz pronounced, before adding a little later, “We must finally deport on a large scale.”
  • More spending cuts are expected. In an economy on the cusp of recession — Germany is the only country among Group of 7 nations not expected to register growth in 2023 — this is bad news for Germans, who, according to a recent study, are predominantly worried about living expenses, increasing rents, tax hikes and cuts to benefits.
  • everal other high-ranking politicians have also pushed the need for stricter border controls in the aftermath of Oct. 7. Friedrich Merz, leader of the opposition Christian Democrats, spoke out against taking in refugees from Gaza, claiming that Germany already has “enough antisemitic young men in the country.”
  • In early November, after months of intense discussions, the federal government and the 16 state governors agreed on stricter measures to curb the number of migrants entering the country. Asylum seekers now receive less cash and have to wait twice as long to get on welfare, taking even more autonomy away from their lives. According to the new plan, Germany will also extend its border checks, speed up asylum procedures and look into the idea of offshoring asylum centers.
  • Worryingly, antisemitic incidents have been on the rise in recent weeks
  • it is troubling that Germany, of all places, should frame antisemitism as an imported problem. Crime statistics show that a vast majority of antisemitic crimes are committed by right-wing extremists and not by Islamists, let alone migrants or Muslims.
  • Germany’s leaders, aided by major media figures, are using the fight against antisemitism as a pretext to encourage racist resentment and anti-migrant sentiment.
  • Alternative for Germany, which has pulled the political center of gravity to the right since its formation in 2013, has never been stronger. Polling at over 20 percent, the party and its concerns, once fringe, are firmly mainstream. Questions of national identity and immigration dominate political discussion, in keeping with a broader rise of nativism across Europe.
  • The country’s anti-migrant turn is often justified in terms of economic concerns.
  • Opponents of immigration point to the underfunding of schools and hospitals, the lack of affordable housing, the miserable public transport and the general decline of the domestic economy.
  • German infrastructure is indeed in crisis. But this has little to do with immigration and everything to do with austerity policies that have been in place for the past two decades.
  • Central to those policies is the so-called debt brake. Enshrined in the German Constitution in 2009, it restricts the annual public deficit to 0.35 percent of gross domestic product, ensuring strict limits on spending.
  • The effects have been immediate: Mr. Lindner announced an early end to a price cap on energy bills, making it likely that German citizens will have to pay more for their heating in the coming year.
  • Christian Lindner, the finance minister and head of the center-right Free Democratic Party, called for a fundamental change in immigration policy to “reduce the appeal of the German welfare state.”
  • It’s bad news for the government, too. The coalition, composed of the Social Democrats, Greens and Free Democrats, came to office in 2021 with a mandate to modernize the country and lead it in a progressive direction
  • Instead, with programs of fiscal restriction and stances of social reaction, Germany’s leaders are only serving the far-right party they claim to want to keep at bay.
Javier E

Why Trump's Drastic Plan to Slash the Government Could Succeed - WSJ - 0 views

  • In campaign speeches and statements, the former president has promised to eliminate the independence of key federal agencies, reduce protections for civil servants, deny citizenship to tens of thousands of people born in the U.S. and wrest control of some authority over spending from Congress. If implemented, those measures and others Trump has proposed would amount to the most sweeping overhaul of the government in modern times, legal scholars said.
  • Trump’s agenda mirrors the longstanding priorities of prominent conservative groups, which have been working behind the scenes to revamp every corner of the government, agency by agency. The goal, conservative leaders said, isn’t only to shrink the size of the government, but also to snuff out perceived opposition to the president’s agenda within the bureaucratic ranks.
  • “I would hope this is a seminal moment to crush the deep state and the administrative state that has operated with its own set of agendas for a long time,”
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  • In practical terms, that means weakening measures first put in place in the 19th century that turned federal employment from a partisan spoils system into a professional workforce, and setting aside federal laws intended to insulate some areas of policy-making and enforcement from political interference.
  • Underpinning the effort is what is called the unitary executive principle, which draws from a constitutional clause that vests “the executive power” in the president. Conservative leaders argue that the clause gives the president virtually unchecked authority over the executive branch.
  • Conservative justices have signaled support for the unitary executive principle and repeatedly espoused skepticism of federal agencies, signaling they could have sympathy for Trump’s contention that the federal bureaucracy must be reined in. 
  • f he wins in 2024, Trump would find a friendlier court than the one that sometimes frustrated him. Amy Coney Barrett, Trump’s third pick for the high court, was seated just months before Trump left office, expanding its conservative majority and reducing the sway of Chief Justice John Roberts, who had joined the then four-member liberal bloc in finding Trump officials cut legal corners in trying to alter the census and cancel the DACA program.
  • Still, hurdles remain. There were occasions when each of Trump’s Supreme Court appointees joined with liberals or Roberts against conservative objectives.
  • Lawmakers of both parties, protective of their own power, would likely object to efforts by Trump to reassert what is known as the impoundment authority and allow a president to refuse to spend money appropriated by Congress. And former Trump administration officials say his focus can drift from one
  • some people who know him expressed concern that an emboldened Trump could push the limits of the law far beyond what he did in his first term, and would surround himself with advisers who are unwilling to resist his impulses. 
  • “I’m sympathetic to some of the initiatives that are being considered,” said Barr, who has been critical of the former president. “My concern generally is that the president is very imprudent and very excessive in anything he does, and therefore will end up doing things that end up actually curtailing executive power, rather than expanding it.”
  • the Supreme Court could be more open to the president taking more control over independent agencies and limiting protections for civil servants. 
  • “It’s hard to predict how far [the Supreme Court] would go. But I think there’s less judicial restraint and there’s more willingness to allow what were once seen as extreme or fringe constitutional arguments on the right to be entertained,” said Shalev Roisman, a University of Arizona law professor.
  • Trump advisers would seek greater power to hire and fire career federal employees so they can select who carries out presidential policies throughout the government. In 2020, Trump issued an executive order that could have stripped thousands of federal employees of civil service protections and removed competitive exams as a hiring criterion. President Biden rescinded that order, but Trump advisers are planning to resurrect it. 
  • Although the Supreme Court’s conservative majority holds a robust view of the unitary executive theory, it is unlikely there are sufficient votes to fully scrap the merit-based employment that has been part of the federal firmament for 140 years. But the president does have authority to manage the civil service system, and Trump could find a court open to expanding the class of employees that can be hired and fired at the White House’s discretion.
  • Trump advisers also are considering a broader challenge to Supreme Court precedent, hoping to win new authority to replace members of independent commissions at will—a step some justices have signaled they might consider. 
  • Conservative officials involved in the discussions reject the notion that Trump is trying to hoard unchecked authority, arguing that they want to revert to a vision of the presidency outlined in the Constitution. In their view, agencies essentially are extensions of the president and their employees serve at his pleasure. In a second Trump term, Vought said, “the bureaucracy would care more about what the president thinks and what his agenda is.”
  • Biden has ramped up his criticism of Trump, homing in on the former president’s efforts to expand his power. “This MAGA threat is the threat to the brick and mortar of our democratic institutions,”
  • The origins of conservatives’ efforts date back to 1982, when then-President Ronald Reagan established a commission to improve government efficiency, assembling more than 100 private-sector figures with the mandate to “drain the swamp” in Washington. The group, known as the Grace Commission, released a 47-volume report with more than 2,400 recommendations, including proposals to rethink protections for government workers.
  • Many of the recommendations were never implemented.
  • “It’s been hard to make progress on this front,” said ​​Veronique de Rugy, a senior research fellow at George Mason University’s Mercatus Center. “At its core, the incentives within government are for more spending, more growth, more intervention.”
Javier E

Cognitive Biases and the Human Brain - The Atlantic - 0 views

  • If I had to single out a particular bias as the most pervasive and damaging, it would probably be confirmation bias. That’s the effect that leads us to look for evidence confirming what we already think or suspect, to view facts and ideas we encounter as further confirmation, and to discount or ignore any piece of evidence that seems to support an alternate view
  • At least with the optical illusion, our slow-thinking, analytic mind—what Kahneman calls System 2—will recognize a Müller-Lyer situation and convince itself not to trust the fast-twitch System 1’s perception
  • The whole idea of cognitive biases and faulty heuristics—the shortcuts and rules of thumb by which we make judgments and predictions—was more or less invented in the 1970s by Amos Tversky and Daniel Kahneman
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  • versky died in 1996. Kahneman won the 2002 Nobel Prize in Economics for the work the two men did together, which he summarized in his 2011 best seller, Thinking, Fast and Slow. Another best seller, last year’s The Undoing Project, by Michael Lewis, tells the story of the sometimes contentious collaboration between Tversky and Kahneman
  • Another key figure in the field is the University of Chicago economist Richard Thaler. One of the biases he’s most linked with is the endowment effect, which leads us to place an irrationally high value on our possessions.
  • In an experiment conducted by Thaler, Kahneman, and Jack L. Knetsch, half the participants were given a mug and then asked how much they would sell it for. The average answer was $5.78. The rest of the group said they would spend, on average, $2.21 for the same mug. This flew in the face of classic economic theory, which says that at a given time and among a certain population, an item has a market value that does not depend on whether one owns it or not. Thaler won the 2017 Nobel Prize in Economics.
  • “The question that is most often asked about cognitive illusions is whether they can be overcome. The message … is not encouraging.”
  • Kahneman and others draw an analogy based on an understanding of the Müller-Lyer illusion, two parallel lines with arrows at each end. One line’s arrows point in; the other line’s arrows point out. Because of the direction of the arrows, the latter line appears shorter than the former, but in fact the two lines are the same length.
  • In this context, his pessimism relates, first, to the impossibility of effecting any changes to System 1—the quick-thinking part of our brain and the one that makes mistaken judgments tantamount to the Müller-Lyer line illusion
  • that’s not so easy in the real world, when we’re dealing with people and situations rather than lines. “Unfortunately, this sensible procedure is least likely to be applied when it is needed most,” Kahneman writes. “We would all like to have a warning bell that rings loudly whenever we are about to make a serious error, but no such bell is available.”
  • Because biases appear to be so hardwired and inalterable, most of the attention paid to countering them hasn’t dealt with the problematic thoughts, judgments, or predictions themselves
  • Is it really impossible, however, to shed or significantly mitigate one’s biases? Some studies have tentatively answered that question in the affirmative.
  • what if the person undergoing the de-biasing strategies was highly motivated and self-selected? In other words, what if it was me?
  • I met with Kahneman
  • Over an apple pastry and tea with milk, he told me, “Temperament has a lot to do with my position. You won’t find anyone more pessimistic than I am.”
  • Confirmation bias shows up most blatantly in our current political divide, where each side seems unable to allow that the other side is right about anything.
  • “I see the picture as unequal lines,” he said. “The goal is not to trust what I think I see. To understand that I shouldn’t believe my lying eyes.” That’s doable with the optical illusion, he said, but extremely difficult with real-world cognitive biases.
  • he most effective check against them, as Kahneman says, is from the outside: Others can perceive our errors more readily than we can.
  • “slow-thinking organizations,” as he puts it, can institute policies that include the monitoring of individual decisions and predictions. They can also require procedures such as checklists and “premortems,”
  • A premortem attempts to counter optimism bias by requiring team members to imagine that a project has gone very, very badly and write a sentence or two describing how that happened. Conducting this exercise, it turns out, helps people think ahead.
  • “My position is that none of these things have any effect on System 1,” Kahneman said. “You can’t improve intuition.
  • Perhaps, with very long-term training, lots of talk, and exposure to behavioral economics, what you can do is cue reasoning, so you can engage System 2 to follow rules. Unfortunately, the world doesn’t provide cues. And for most people, in the heat of argument the rules go out the window.
  • Kahneman describes an even earlier Nisbett article that showed subjects’ disinclination to believe statistical and other general evidence, basing their judgments instead on individual examples and vivid anecdotes. (This bias is known as base-rate neglect.)
  • over the years, Nisbett had come to emphasize in his research and thinking the possibility of training people to overcome or avoid a number of pitfalls, including base-rate neglect, fundamental attribution error, and the sunk-cost fallacy.
  • When Nisbett has to give an example of his approach, he usually brings up the baseball-phenom survey. This involved telephoning University of Michigan students on the pretense of conducting a poll about sports, and asking them why there are always several Major League batters with .450 batting averages early in a season, yet no player has ever finished a season with an average that high.
  • about half give the right answer: the law of large numbers, which holds that outlier results are much more frequent when the sample size (at bats, in this case) is small. Over the course of the season, as the number of at bats increases, regression to the mean is inevitabl
  • When Nisbett asks the same question of students who have completed the statistics course, about 70 percent give the right answer. He believes this result shows, pace Kahneman, that the law of large numbers can be absorbed into System 2—and maybe into System 1 as well, even when there are minimal cues.
  • Nisbett’s second-favorite example is that economists, who have absorbed the lessons of the sunk-cost fallacy, routinely walk out of bad movies and leave bad restaurant meals uneaten.
  • we’ve tested Michigan students over four years, and they show a huge increase in ability to solve problems. Graduate students in psychology also show a huge gain.”
  • , “I know from my own research on teaching people how to reason statistically that just a few examples in two or three domains are sufficient to improve people’s reasoning for an indefinitely large number of events.”
  • isbett suggested another factor: “You and Amos specialized in hard problems for which you were drawn to the wrong answer. I began to study easy problems, which you guys would never get wrong but untutored people routinely do … Then you can look at the effects of instruction on such easy problems, which turn out to be huge.”
  • Nisbett suggested that I take “Mindware: Critical Thinking for the Information Age,” an online Coursera course in which he goes over what he considers the most effective de-biasing skills and concepts. Then, to see how much I had learned, I would take a survey he gives to Michigan undergraduates. So I did.
  • he course consists of eight lessons by Nisbett—who comes across on-screen as the authoritative but approachable psych professor we all would like to have had—interspersed with some graphics and quizzes. I recommend it. He explains the availability heuristic this way: “People are surprised that suicides outnumber homicides, and drownings outnumber deaths by fire. People always think crime is increasing” even if it’s not.
  • When I finished the course, Nisbett sent me the survey he and colleagues administer to Michigan undergrads
  • It contains a few dozen problems meant to measure the subjects’ resistance to cognitive biases
  • I got it right. Indeed, when I emailed my completed test, Nisbett replied, “My guess is that very few if any UM seniors did as well as you. I’m sure at least some psych students, at least after 2 years in school, did as well. But note that you came fairly close to a perfect score.”
  • In 2006, seeking to prevent another mistake of that magnitude, the U.S. government created the Intelligence Advanced Research Projects Activity (iarpa), an agency designed to use cutting-edge research and technology to improve intelligence-gathering and analysis. In 2011, iarpa initiated a program, Sirius, to fund the development of “serious” video games that could combat or mitigate what were deemed to be the six most damaging biases: confirmation bias, fundamental attribution error, the bias blind spot (the feeling that one is less biased than the average person), the anchoring effect, the representativeness heuristic, and projection bias (the assumption that everybody else’s thinking is the same as one’s own).
  • For his part, Nisbett insisted that the results were meaningful. “If you’re doing better in a testing context,” he told me, “you’ll jolly well be doing better in the real world.”
  • The New York–based NeuroLeadership Institute offers organizations and individuals a variety of training sessions, webinars, and conferences that promise, among other things, to use brain science to teach participants to counter bias. This year’s two-day summit will be held in New York next month; for $2,845, you could learn, for example, “why are our brains so bad at thinking about the future, and how do we do it better?”
  • Nevertheless, I did not feel that reading Mindware and taking the Coursera course had necessarily rid me of my biases
  • One of the most important ingredients is what Tetlock calls “the outside view.” The inside view is a product of fundamental attribution error, base-rate neglect, and other biases that are constantly cajoling us into resting our judgments and predictions on good or vivid stories instead of on data and statistics
  • most promising are a handful of video games. Their genesis was in the Iraq War
  • Philip E. Tetlock, a professor at the University of Pennsylvania’s Wharton School, and his wife and research partner, Barbara Mellers, have for years been studying what they call “superforecasters”: people who manage to sidestep cognitive biases and predict future events with far more accuracy than the pundits
  • Together with collaborators who included staff from Creative Technologies, a company specializing in games and other simulations, and Leidos, a defense, intelligence, and health research company that does a lot of government work, Morewedge devised Missing. Some subjects played the game, which takes about three hours to complete, while others watched a video about cognitive bias. All were tested on bias-mitigation skills before the training, immediately afterward, and then finally after eight to 12 weeks had passed.
  • he said he saw the results as supporting the research and insights of Richard Nisbett. “Nisbett’s work was largely written off by the field, the assumption being that training can’t reduce bias,
  • “The literature on training suggests books and classes are fine entertainment but largely ineffectual. But the game has very large effects. It surprised everyone.”
  • even the positive results reminded me of something Daniel Kahneman had told me. “Pencil-and-paper doesn’t convince me,” he said. “A test can be given even a couple of years later. But the test cues the test-taker. It reminds him what it’s all about.”
  • Morewedge told me that some tentative real-world scenarios along the lines of Missing have shown “promising results,” but that it’s too soon to talk about them.
  • In the future, I will monitor my thoughts and reactions as best I can
Javier E

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

  • 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

How China's buses shaped the world's EV revolution - BBC Future - 0 views

  • After around two decades of government support, China now boasts the world's largest market for e-buses, making up more than 95% of global stock. At the end of 2022, China's Ministry of Transport announced that more than three-quarters (77% or 542,600) of all urban buses in the country were "new energy vehicles", a term used by the Chinese government to include pure electric, plug-in hybrids, and fuel cell vehicles powered by alternative fuels such as hydrogen and methanol. In 2022, around 84% of the new energy bus fleet was pure electric.
  • . In 2015, 78% of Chinese urban buses still used diesel or gas, according to the World Resources Institute (WRI). The NGO now estimates that if China follows through on its stated decarbonisation policies, its road transport emissions will peak before 2030.
  • China is also home to some of the world's biggest electric bus manufacturers, such as Yutong, which has been raking up orders across China, Europe and Latin America.
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  • "China has really been at the forefront of success in conversion of all vehicles to electric vehicles, especially buses," says Heather Thompson, chief executive officer of the Institute for Transportation and Development Policy (ITDP), a non-profit focusing on sustainable transport solutions. "The rest of the world is trying to do the same, but I think China is really out ahead."
  • At the time of China's 2001 entry into the World Trade Organisation, the international automotive industry was dominated by European, US and Japanese brands. These companies had spent decades perfecting internal combustion engine technology. To compete, Beijing decided to find a new track for its auto industry: making cars that did not use conventional engines.
  • That same year, the central government launched the so-called "863 plan" for EV research and development. There were numerous practical challenges, however, in the way of mass electrification. Not many manufacturers were making new energy vehicles, buyers were few and there was a lack of charging infrastructure in existence. The answer? Buses.
  • "The Chinese government adopted a very smart strategy," says Liu Daizong, ITDP's East Asia director. "They realised quite early on that they should drive [the EV industry] through electric buses," he notes, since their public service status meant Beijing "could have a strong hand on their electrification".
  • "Bus routes were fixed. This means when an electric bus finished a round, it could return to the depot to recharge," explains Xue Lulu, a mobility manager at the World Resources Institute (WRI) China. The typical daily mileage of a Chinese bus ­– 200km (120 miles) – was a realistic range for battery makers to meet.
  • The following year, the country began its large-scale rollout of new energy buses, with the "Ten Cities and Thousand Vehicles" programme. Over three years, the programme aimed to provide 10 cities with financial subsidies to promote 1,000 public-sector new energy vehicles in each, annually. Its goal was to have 10% new energy vehicles in the country by the end of 2012.
  • Strong policy support from both central and regional governments "gave manufacturers confidence in setting up production lines and stepping up research efforts," says Liu.
  • Together, these strong and consistent government signals encouraged Chinese manufacturers to expand their EV production capacity, bring down costs and improve their technologies. One such company was Build Your Dream, better known as BYD. The Shenzhen-based firm, the world's largest EV maker in 2022, ballooned its business a decade before by supplying electric buses and taxis for China's EV pilot cities.
  • "Back then, most buses used diesel, which was a main source of nitrogen oxides (NOx) emissions," says Xue, referring to the air pollution that smothered Beijing and other Chinese cities in the early 2010s. Yet in 2013, a new plan from central government cited tackling air pollution as one of the reasons for rolling out EVs.
  • This addition proved to be critical: it not only connected EV uptake with people's health, it also indirectly tied the e-bus campaign to local officials' political performance, as the central government would soon hand air-quality targets to all provinces.
  • The years 2013 and 2014 proved to be important for China's EV push. For the first time, the central government made EV purchase subsidies available to individual consumers, not just the public sector, opening the floodgate to private ownership. Additionally, it offered discounted electricity tariffs to bus operators to make sure the cost of running electric buses would be "significantly lower than" that of their oil or gas-powered equivalents.
  • The new economic push, plus local government's determination to battle air pollution, generated great enthusiasm for e-buses. By the end of 2015, the number of EV pilot cities rocketed from 25 to 88. In the same year, the central government set a target of 200,000 new energy buses on the road by 2020 and announced a plan to phase out its subsidies for fossil-fuel-powered buses.
  • To further stimulate the market, many cities devised various local policies on top of national incentives. For example, Shenzhen, a southern city with a population of more than 17 million, encouraged government agencies to work with private companies to create a full range of renting mechanisms for bus operators
  • Different cities' bus operators also designed different charging strategies. "Buses in Shenzhen had bigger batteries, so they normally charged overnight," says Xue, of WRI China. Between 2016 and 2020, Shanghai, another electric bus hub, subsidised the electricity e-buses used -- regardless of the hours of the day -- to give them more flexibility in charging.
  • In contrast, many Latin American cities, such as the Colombian capital of Bogota and the Chilean capital of Santiago, are greening their traditional bus sectors with the help of Chinese manufacturers, who are the largest providers to the region. In 2020, Chile became the country that had the most Chinese e-buses outside of China, and this year Santiago's public transport operator announced it has ordered 1,022 e-buses from Beijing-based Foton Motor, the biggest overseas deal the firm had received.
  • one year later, the government announced the so-called "dual-credit" policy. This allowed new energy vehicle makers to rake up credits which they could sell for cash to those needing to offset "negative credits" generated from making conventional cars.
  • it wasn't only China's buses that had benefitted.China's e-bus campaign helped create a big and stable market for its wider EV industry, brought down the costs and created economies of scale. In 2009, the year the e-bus campaign was rolled out, the total number of new energy vehicles sold stood at 2,300; by 2022, it was 6.9 million, analysis by Huang Zheng,
  • By 2022, the country had also built the world's largest EV charging network, with 1.8 million public charging stations – or two-thirds of the global total – and 3.4 million private equivalents. This means that on average, there is one charging pillar for every 2.5 of China's 13.1 million new energy vehicles.
  • Cold weather is a problem, too, as it can make a battery's charging time longer and its range shorter. The reason China has not achieved 100% electrification for its buses is its northern regions, which have harsh winters, says Xue.
  • To make e-buses truly "green", they should also be charged with renewable power, Wang says. But last year coal power still accounted for 58.4% of China's energy mix, according to the China Electricity Council, a trade body..
  • Globally, however, China is now in a league of its own in uptake of e-buses. By 2018, about 421,000 of the world's 425,000 electric buses were located in China; Europe had about 2,250 and the US owned around 300. A
  • But earlier this year, the European Commission announced a zero-emission target for all new city buses by 2030. And some countries are increasing their overall funding for the transition.
  • In 2020, the European Commission approved Germany's plan to double its aid for e-buses to €650m (£558m/$707m), then again in 2021 to €1.25 billion euros (£1.07m/$1.3bn). And the UK, which last year had the largest electric bus fleet in Europe with 2,226 pure electric and hybrid buses, has announced another £129m ($164m) to help bus operators buy zero-emissions fleets.
  • Countries have thus responded to China's manufacturing lead in divergent ways. "While the US has opted for a more competitive angle by fostering its own e-bus production, regions like Latin America are more open to trade with China due to a more friendly trading setup through [China's] Belt and Road Initiative,"
  • In order to avoid direct competition from Chinese manufacturers, the US has come up with a "school-bus strategy", says Liu. The Chinese don't make the iconic yellow vehicles, so this could ignite American e-bus manufacturing and create a local industry chain, he suggests. Backed by the US Environmental Protection Agency's $5bn (£3.9bn) Clean School Bus Programme, the national effort has so far committed to providing 5,982 buses.
  • Generous financial support did lead to problems. In 2016, an EV subsidy fraud shook China, with some bus operators found to have exaggerated the number of e-buses they had purchased. So that same year Beijing shifted its EV subsidy rules so bus operators could only receive financial support when a bus's mileage reached 30,000km (19,000 miles).
  • Chinese manufacturers are likely to receive a lot more orders from Chile and its neighbours in this decade. According to latest research by the global C40 Cities network, the number of electric buses in 32 Latin American cities is expected to increase by more than seven times by 2030, representing an investment opportunity of over $11.3bn (£8.9bn)
  • In June 2023, BloombergNEF forecast half of the world's buses to be entirely battery-powered by 2032, a decade ahead of cars. And by 2026, 36% and 24% of municipal bus sales in Europe and the US, respectively, are expected to be EVs as they begin to catch up with China
  • To meet the global climate goals set by the Paris Agreement, simply switching the world's existing bus fleets might not be enough. According to ITDP, the cumulative greenhouse gas emissions from urban passenger transport globally must stay below the equivalent of 66 gigatonnes CO2 between 2020 and 2050 for the world to meet the 1.5C temperature goal. This emissions limit will only be possible when the world not only adopts electric buses, but goes through a broader shift away from private transport
  • "We can't just focus on [replacing] the buses that exist, we need to actually get many, many more buses on the streets," Thompson adds. She and her team estimate that the world would need about 10 million more buses through 2030, and 46 million more buses cumulatively through 2050, to make public transport good enough to have a shot at achieving the Paris Agreement. And all those buses will need to be electric.
  • In China therefore, even though EVs are being sold faster than ever, its central government has instructed cities to encourage public transport use, as well as walking and riding bikes.
  • In Wang's hometown, meanwhile, which has just over three million residents, the local government has gone one step further and made all bus rides free. All citizens need to do is to swipe an app, with no charge, to get onto the bus. "My aunt loves taking buses now," says Wang. "She says it is so convenient."
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